*mp4
*js
*json
+*ipynb
+covid_summary.md
+covid_summary.html
+++ /dev/null
-{
- "cells": [
- {
- "cell_type": "code",
- "execution_count": 1,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "import itertools\n",
- "import collections\n",
- "import json\n",
- "import pandas as pd\n",
- "import numpy as np\n",
- "from scipy.stats import gmean\n",
- "import datetime\n",
- "\n",
- "import matplotlib as mpl\n",
- "import matplotlib.pyplot as plt\n",
- "%matplotlib inline\n",
- "%load_ext sql"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 2,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "connection_string = 'postgresql://covid:3NbjJTkT63@localhost/covid'"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 3,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "'Connected: covid@covid'"
- ]
- },
- "execution_count": 3,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "%sql $connection_string"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 144,
- "metadata": {},
- "outputs": [],
- "source": [
- "# res = %sql select report_date, deaths_weekly as deaths_covid from weekly_cases where geo_id = 'UK' order by report_date\n",
- "# deaths_cases = res.DataFrame()\n",
- "# deaths_cases.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 165,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "53 rows affected.\n",
- "Returning data to local variable res\n"
- ]
- }
- ],
- "source": [
- "%%sql res << select sum(new_deaths) as covid_deaths, extract(week from (date_trunc('day', date) + interval '2 day')) as eweek\n",
- "from uk_data \n",
- "where extract(year from date) = 2020 \n",
- "group by eweek\n",
- "order by eweek"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 166,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
- " .dataframe tbody tr th:only-of-type {\n",
- " vertical-align: middle;\n",
- " }\n",
- "\n",
- " .dataframe tbody tr th {\n",
- " vertical-align: top;\n",
- " }\n",
- "\n",
- " .dataframe thead th {\n",
- " text-align: right;\n",
- " }\n",
- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>covid_deaths</th>\n",
- " <th>eweek</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>48</th>\n",
- " <td>3068</td>\n",
- " <td>49.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>49</th>\n",
- " <td>2906</td>\n",
- " <td>50.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>50</th>\n",
- " <td>3035</td>\n",
- " <td>51.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>51</th>\n",
- " <td>3708</td>\n",
- " <td>52.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>52</th>\n",
- " <td>3263</td>\n",
- " <td>53.0</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " covid_deaths eweek\n",
- "48 3068 49.0\n",
- "49 2906 50.0\n",
- "50 3035 51.0\n",
- "51 3708 52.0\n",
- "52 3263 53.0"
- ]
- },
- "execution_count": 166,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "deaths_covid = res.DataFrame()\n",
- "deaths_covid.tail()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 167,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "53 rows affected.\n",
- "Returning data to local variable res\n"
- ]
- }
- ],
- "source": [
- "%%sql res << select week, avg(ydd) as deaths_mean\n",
- "from (select week, year, sum(deaths) as ydd\n",
- " from all_causes_deaths\n",
- " group by year, week) as year_deaths\n",
- "where year < 2020\n",
- "group by week\n",
- "order by week"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 168,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
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- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>week</th>\n",
- " <th>deaths_mean</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>0</th>\n",
- " <td>1</td>\n",
- " <td>13870.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>2</td>\n",
- " <td>15783.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>3</td>\n",
- " <td>14985.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>4</td>\n",
- " <td>14457.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>5</td>\n",
- " <td>13841.0</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " week deaths_mean\n",
- "0 1 13870.2\n",
- "1 2 15783.4\n",
- "2 3 14985.8\n",
- "3 4 14457.2\n",
- "4 5 13841.0"
- ]
- },
- "execution_count": 168,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "mean_deaths = res.DataFrame()\n",
- "mean_deaths['deaths_mean'] = pd.to_numeric(mean_deaths.deaths_mean)\n",
- "mean_deaths.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 169,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "week int64\n",
- "deaths_mean float64\n",
- "dtype: object"
- ]
- },
- "execution_count": 169,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "mean_deaths.dtypes"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 170,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "53 rows affected.\n",
- "Returning data to local variable res\n"
- ]
- }
- ],
- "source": [
- "%%sql res << select ac.week, wk.date_up_to, sum(ac.deaths) as deaths_2020\n",
- "from all_causes_deaths ac, \n",
- " (select week, date_up_to \n",
- " from all_causes_deaths\n",
- " where year = 2020 and nation = 'England') as wk\n",
- "where year = 2020 and ac.week = wk.week\n",
- "group by ac.week, wk.date_up_to\n",
- "order by ac.week"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 171,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
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- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>week</th>\n",
- " <th>date_up_to</th>\n",
- " <th>deaths_2020</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>0</th>\n",
- " <td>1</td>\n",
- " <td>2020-01-03</td>\n",
- " <td>13768</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>2</td>\n",
- " <td>2020-01-10</td>\n",
- " <td>16020</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>3</td>\n",
- " <td>2020-01-17</td>\n",
- " <td>14723</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>4</td>\n",
- " <td>2020-01-24</td>\n",
- " <td>13429</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>5</td>\n",
- " <td>2020-01-31</td>\n",
- " <td>13123</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " week date_up_to deaths_2020\n",
- "0 1 2020-01-03 13768\n",
- "1 2 2020-01-10 16020\n",
- "2 3 2020-01-17 14723\n",
- "3 4 2020-01-24 13429\n",
- "4 5 2020-01-31 13123"
- ]
- },
- "execution_count": 171,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "deaths_2020 = res.DataFrame()\n",
- "deaths_2020.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 172,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
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- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>week</th>\n",
- " <th>date_up_to</th>\n",
- " <th>deaths_2020</th>\n",
- " <th>deaths_mean</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>0</th>\n",
- " <td>1</td>\n",
- " <td>2020-01-03</td>\n",
- " <td>13768</td>\n",
- " <td>13870.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>2</td>\n",
- " <td>2020-01-10</td>\n",
- " <td>16020</td>\n",
- " <td>15783.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>3</td>\n",
- " <td>2020-01-17</td>\n",
- " <td>14723</td>\n",
- " <td>14985.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>4</td>\n",
- " <td>2020-01-24</td>\n",
- " <td>13429</td>\n",
- " <td>14457.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>5</td>\n",
- " <td>2020-01-31</td>\n",
- " <td>13123</td>\n",
- " <td>13841.0</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " week date_up_to deaths_2020 deaths_mean\n",
- "0 1 2020-01-03 13768 13870.2\n",
- "1 2 2020-01-10 16020 15783.4\n",
- "2 3 2020-01-17 14723 14985.8\n",
- "3 4 2020-01-24 13429 14457.2\n",
- "4 5 2020-01-31 13123 13841.0"
- ]
- },
- "execution_count": 172,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "deaths_2020 = deaths_2020.merge(mean_deaths, how='outer', on='week')\n",
- "deaths_2020.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 173,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
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- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>date_up_to</th>\n",
- " <th>deaths_2020</th>\n",
- " <th>deaths_mean</th>\n",
- " <th>deaths_covid</th>\n",
- " <th>excess</th>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>week</th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>2020-01-03</td>\n",
- " <td>13768</td>\n",
- " <td>13870.2</td>\n",
- " <td>0</td>\n",
- " <td>-102.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>2020-01-10</td>\n",
- " <td>16020</td>\n",
- " <td>15783.4</td>\n",
- " <td>0</td>\n",
- " <td>236.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>2020-01-17</td>\n",
- " <td>14723</td>\n",
- " <td>14985.8</td>\n",
- " <td>0</td>\n",
- " <td>-262.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>2020-01-24</td>\n",
- " <td>13429</td>\n",
- " <td>14457.2</td>\n",
- " <td>0</td>\n",
- " <td>-1028.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>5</th>\n",
- " <td>2020-01-31</td>\n",
- " <td>13123</td>\n",
- " <td>13841.0</td>\n",
- " <td>0</td>\n",
- " <td>-718.0</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " date_up_to deaths_2020 deaths_mean deaths_covid excess\n",
- "week \n",
- "1 2020-01-03 13768 13870.2 0 -102.2\n",
- "2 2020-01-10 16020 15783.4 0 236.6\n",
- "3 2020-01-17 14723 14985.8 0 -262.8\n",
- "4 2020-01-24 13429 14457.2 0 -1028.2\n",
- "5 2020-01-31 13123 13841.0 0 -718.0"
- ]
- },
- "execution_count": 173,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "deaths_2020['deaths_covid'] = deaths_covid.covid_deaths\n",
- "deaths_2020['excess'] = deaths_2020.deaths_2020 - deaths_2020.deaths_mean\n",
- "deaths_2020.set_index('week', inplace=True)\n",
- "deaths_2020.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 174,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
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- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>date_up_to</th>\n",
- " <th>deaths_2020</th>\n",
- " <th>deaths_mean</th>\n",
- " <th>deaths_covid</th>\n",
- " <th>excess</th>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>week</th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>49</th>\n",
- " <td>2020-12-04</td>\n",
- " <td>13986</td>\n",
- " <td>12157.0</td>\n",
- " <td>3068</td>\n",
- " <td>1829.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>50</th>\n",
- " <td>2020-12-11</td>\n",
- " <td>13942</td>\n",
- " <td>12328.8</td>\n",
- " <td>2906</td>\n",
- " <td>1613.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>51</th>\n",
- " <td>2020-12-18</td>\n",
- " <td>14658</td>\n",
- " <td>13159.2</td>\n",
- " <td>3035</td>\n",
- " <td>1498.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>52</th>\n",
- " <td>2020-12-25</td>\n",
- " <td>13035</td>\n",
- " <td>9231.2</td>\n",
- " <td>3708</td>\n",
- " <td>3803.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>53</th>\n",
- " <td>2021-01-01</td>\n",
- " <td>11580</td>\n",
- " <td>8774.0</td>\n",
- " <td>3263</td>\n",
- " <td>2806.0</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " date_up_to deaths_2020 deaths_mean deaths_covid excess\n",
- "week \n",
- "49 2020-12-04 13986 12157.0 3068 1829.0\n",
- "50 2020-12-11 13942 12328.8 2906 1613.2\n",
- "51 2020-12-18 14658 13159.2 3035 1498.8\n",
- "52 2020-12-25 13035 9231.2 3708 3803.8\n",
- "53 2021-01-01 11580 8774.0 3263 2806.0"
- ]
- },
- "execution_count": 174,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "deaths_2020.tail()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 175,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "date_up_to object\n",
- "deaths_2020 int64\n",
- "deaths_mean float64\n",
- "deaths_covid int64\n",
- "excess float64\n",
- "dtype: object"
- ]
- },
- "execution_count": 175,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "deaths_2020.dtypes"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 176,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<AxesSubplot:xlabel='week'>"
- ]
- },
- "execution_count": 176,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 432x288 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "deaths_2020[['deaths_covid', 'excess']].plot()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 177,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
- " .dataframe tbody tr th:only-of-type {\n",
- " vertical-align: middle;\n",
- " }\n",
- "\n",
- " .dataframe tbody tr th {\n",
- " vertical-align: top;\n",
- " }\n",
- "\n",
- " .dataframe thead th {\n",
- " text-align: right;\n",
- " }\n",
- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>date_up_to</th>\n",
- " <th>deaths_2020</th>\n",
- " <th>deaths_mean</th>\n",
- " <th>deaths_covid</th>\n",
- " <th>excess</th>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>week</th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>49</th>\n",
- " <td>2020-12-04</td>\n",
- " <td>13986</td>\n",
- " <td>12157.0</td>\n",
- " <td>3068</td>\n",
- " <td>1829.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>50</th>\n",
- " <td>2020-12-11</td>\n",
- " <td>13942</td>\n",
- " <td>12328.8</td>\n",
- " <td>2906</td>\n",
- " <td>1613.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>51</th>\n",
- " <td>2020-12-18</td>\n",
- " <td>14658</td>\n",
- " <td>13159.2</td>\n",
- " <td>3035</td>\n",
- " <td>1498.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>52</th>\n",
- " <td>2020-12-25</td>\n",
- " <td>13035</td>\n",
- " <td>9231.2</td>\n",
- " <td>3708</td>\n",
- " <td>3803.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>53</th>\n",
- " <td>2021-01-01</td>\n",
- " <td>11580</td>\n",
- " <td>8774.0</td>\n",
- " <td>3263</td>\n",
- " <td>2806.0</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " date_up_to deaths_2020 deaths_mean deaths_covid excess\n",
- "week \n",
- "49 2020-12-04 13986 12157.0 3068 1829.0\n",
- "50 2020-12-11 13942 12328.8 2906 1613.2\n",
- "51 2020-12-18 14658 13159.2 3035 1498.8\n",
- "52 2020-12-25 13035 9231.2 3708 3803.8\n",
- "53 2021-01-01 11580 8774.0 3263 2806.0"
- ]
- },
- "execution_count": 177,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "deaths_2020.tail()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": []
- }
- ],
- "metadata": {
- "kernelspec": {
- "display_name": "Python 3",
- "language": "python",
- "name": "python3"
- },
- "language_info": {
- "codemirror_mode": {
- "name": "ipython",
- "version": 3
- },
- "file_extension": ".py",
- "mimetype": "text/x-python",
- "name": "python",
- "nbconvert_exporter": "python",
- "pygments_lexer": "ipython3",
- "version": "3.8.5"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
--- /dev/null
+---
+jupyter:
+ jupytext:
+ formats: ipynb,md
+ text_representation:
+ extension: .md
+ format_name: markdown
+ format_version: '1.3'
+ jupytext_version: 1.10.2
+ kernelspec:
+ display_name: Python 3
+ language: python
+ name: python3
+---
+
+```python Collapsed="false"
+import itertools
+import collections
+import json
+import pandas as pd
+import numpy as np
+from scipy.stats import gmean
+import datetime
+
+import matplotlib as mpl
+import matplotlib.pyplot as plt
+%matplotlib inline
+%load_ext sql
+```
+
+```python Collapsed="false"
+connection_string = 'postgresql://covid:3NbjJTkT63@localhost/covid'
+```
+
+```python Collapsed="false"
+%sql $connection_string
+```
+
+```python
+# res = %sql select report_date, deaths_weekly as deaths_covid from weekly_cases where geo_id = 'UK' order by report_date
+# deaths_cases = res.DataFrame()
+# deaths_cases.head()
+```
+
+```sql magic_args="res << select sum(new_deaths) as covid_deaths, extract(week from (date_trunc('day', date) + interval '2 day')) as eweek"
+from uk_data
+where extract(year from date) = 2020
+group by eweek
+order by eweek
+```
+
+```python
+deaths_covid = res.DataFrame()
+deaths_covid.tail()
+```
+
+```sql magic_args="res << select week, avg(ydd) as deaths_mean"
+from (select week, year, sum(deaths) as ydd
+ from all_causes_deaths
+ group by year, week) as year_deaths
+where year < 2020
+group by week
+order by week
+```
+
+```python
+mean_deaths = res.DataFrame()
+mean_deaths['deaths_mean'] = pd.to_numeric(mean_deaths.deaths_mean)
+mean_deaths.head()
+```
+
+```python
+mean_deaths.dtypes
+```
+
+```sql magic_args="res << select ac.week, wk.date_up_to, sum(ac.deaths) as deaths_2020"
+from all_causes_deaths ac,
+ (select week, date_up_to
+ from all_causes_deaths
+ where year = 2020 and nation = 'England') as wk
+where year = 2020 and ac.week = wk.week
+group by ac.week, wk.date_up_to
+order by ac.week
+```
+
+```python
+deaths_2020 = res.DataFrame()
+deaths_2020.head()
+```
+
+```python
+deaths_2020 = deaths_2020.merge(mean_deaths, how='outer', on='week')
+deaths_2020.head()
+```
+
+```python
+deaths_2020['deaths_covid'] = deaths_covid.covid_deaths
+deaths_2020['excess'] = deaths_2020.deaths_2020 - deaths_2020.deaths_mean
+deaths_2020.set_index('week', inplace=True)
+deaths_2020.head()
+```
+
+```python
+deaths_2020.tail()
+```
+
+```python
+deaths_2020.dtypes
+```
+
+```python
+deaths_2020[['deaths_covid', 'excess']].plot()
+```
+
+```python
+deaths_2020.tail()
+```
+
+```python Collapsed="false"
+
+```
+++ /dev/null
-{
- "cells": [
- {
- "cell_type": "markdown",
- "metadata": {
- "Collapsed": "false"
- },
- "source": [
- "Data from [European Centre for Disease Prevention and Control](https://www.ecdc.europa.eu/en/publications-data/download-todays-data-geographic-distribution-covid-19-cases-worldwide)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 1,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "import itertools\n",
- "import collections\n",
- "import json\n",
- "import pandas as pd\n",
- "import numpy as np\n",
- "from scipy.stats import gmean\n",
- "import datetime\n",
- "\n",
- "import matplotlib as mpl\n",
- "import matplotlib.pyplot as plt\n",
- "%matplotlib inline"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 2,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "DEATH_COUNT_THRESHOLD = 10\n",
- "COUNTRIES_CORE = 'IT DE UK ES IE FR BE'.split()\n",
- "COUNTRIES_NORDIC = 'SE NO DK FI UK'.split()\n",
- "COUNTRIES_FRIENDS = 'IT UK ES BE SI MX'.split()\n",
- "# COUNTRIES_FRIENDS = 'IT UK ES BE SI PT'.split()\n",
- "\n",
- "COUNTRIES_AMERICAS = ['AG', 'AR', 'AW', 'BS', 'BB', 'BZ', 'BM', 'BO', 'BR', 'VG', 'KY', # excluding Canada and USA\n",
- " 'CL', 'CO', 'CR', 'CU', 'CW', 'DM', 'DO', 'EC', 'SV', 'GL', 'GD', 'GT',\n",
- " 'GY', 'HT', 'HN', 'JM', 'MX', 'MS', 'NI', 'PA', 'PY', 'PE', 'PR', 'KN',\n",
- " 'LC', 'VC', 'SX', 'SR', 'TT', 'TC', 'VI', 'UY', 'VE']\n",
- "COUNTRIES_OF_INTEREST = list(set(COUNTRIES_CORE + COUNTRIES_FRIENDS))\n",
- "COUNTRIES_ALL = list(set(COUNTRIES_CORE + COUNTRIES_FRIENDS + COUNTRIES_NORDIC + COUNTRIES_AMERICAS))"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 4843,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " % Total % Received % Xferd Average Speed Time Time Time Current\n",
- " Dload Upload Total Spent Left Speed\n",
- "100 553k 100 553k 0 0 564k 0 --:--:-- --:--:-- --:--:-- 564k\n"
- ]
- }
- ],
- "source": [
- "!curl https://opendata.ecdc.europa.eu/covid19/casedistribution/csv/ > covid.csv"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 4844,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# First col is a date, treat geoId of NA as 'Namibia', not \"NA\" value\n",
- "raw_data = pd.read_csv('covid.csv', \n",
- " parse_dates=[0], dayfirst=True,\n",
- " keep_default_na=False, na_values = [''],\n",
- "# dtype = {'day': np.int64, \n",
- "# 'month': np.int64, \n",
- "# 'year': np.int64, \n",
- "# 'cases': np.int64, \n",
- "# 'deaths': np.int64, \n",
- "# 'countriesAndTerritories': str, \n",
- "# 'geoId': str, \n",
- "# 'countryterritoryCode': str, \n",
- "# 'popData2019': np.int64, \n",
- "# 'continentExp': str, \n",
- "# }\n",
- " )"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 4845,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "89150"
- ]
- },
- "execution_count": 4845,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "raw_data.size"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 4846,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "raw_data.fillna(0, inplace=True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 4847,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
- " .dataframe tbody tr th:only-of-type {\n",
- " vertical-align: middle;\n",
- " }\n",
- "\n",
- " .dataframe tbody tr th {\n",
- " vertical-align: top;\n",
- " }\n",
- "\n",
- " .dataframe thead th {\n",
- " text-align: right;\n",
- " }\n",
- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>dateRep</th>\n",
- " <th>year_week</th>\n",
- " <th>cases_weekly</th>\n",
- " <th>deaths_weekly</th>\n",
- " <th>countriesAndTerritories</th>\n",
- " <th>geoId</th>\n",
- " <th>countryterritoryCode</th>\n",
- " <th>popData2019</th>\n",
- " <th>continentExp</th>\n",
- " <th>notification_rate_per_100000_population_14-days</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <td>0</td>\n",
- " <td>2020-12-14</td>\n",
- " <td>2020-50</td>\n",
- " <td>1757</td>\n",
- " <td>71</td>\n",
- " <td>Afghanistan</td>\n",
- " <td>AF</td>\n",
- " <td>AFG</td>\n",
- " <td>38041757.0</td>\n",
- " <td>Asia</td>\n",
- " <td>9.01</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>1</td>\n",
- " <td>2020-12-07</td>\n",
- " <td>2020-49</td>\n",
- " <td>1672</td>\n",
- " <td>137</td>\n",
- " <td>Afghanistan</td>\n",
- " <td>AF</td>\n",
- " <td>AFG</td>\n",
- " <td>38041757.0</td>\n",
- " <td>Asia</td>\n",
- " <td>7.22</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2</td>\n",
- " <td>2020-11-30</td>\n",
- " <td>2020-48</td>\n",
- " <td>1073</td>\n",
- " <td>68</td>\n",
- " <td>Afghanistan</td>\n",
- " <td>AF</td>\n",
- " <td>AFG</td>\n",
- " <td>38041757.0</td>\n",
- " <td>Asia</td>\n",
- " <td>6.42</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>3</td>\n",
- " <td>2020-11-23</td>\n",
- " <td>2020-47</td>\n",
- " <td>1368</td>\n",
- " <td>69</td>\n",
- " <td>Afghanistan</td>\n",
- " <td>AF</td>\n",
- " <td>AFG</td>\n",
- " <td>38041757.0</td>\n",
- " <td>Asia</td>\n",
- " <td>6.66</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>4</td>\n",
- " <td>2020-11-16</td>\n",
- " <td>2020-46</td>\n",
- " <td>1164</td>\n",
- " <td>61</td>\n",
- " <td>Afghanistan</td>\n",
- " <td>AF</td>\n",
- " <td>AFG</td>\n",
- " <td>38041757.0</td>\n",
- " <td>Asia</td>\n",
- " <td>4.65</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " dateRep year_week cases_weekly deaths_weekly countriesAndTerritories \\\n",
- "0 2020-12-14 2020-50 1757 71 Afghanistan \n",
- "1 2020-12-07 2020-49 1672 137 Afghanistan \n",
- "2 2020-11-30 2020-48 1073 68 Afghanistan \n",
- "3 2020-11-23 2020-47 1368 69 Afghanistan \n",
- "4 2020-11-16 2020-46 1164 61 Afghanistan \n",
- "\n",
- " geoId countryterritoryCode popData2019 continentExp \\\n",
- "0 AF AFG 38041757.0 Asia \n",
- "1 AF AFG 38041757.0 Asia \n",
- "2 AF AFG 38041757.0 Asia \n",
- "3 AF AFG 38041757.0 Asia \n",
- "4 AF AFG 38041757.0 Asia \n",
- "\n",
- " notification_rate_per_100000_population_14-days \n",
- "0 9.01 \n",
- "1 7.22 \n",
- "2 6.42 \n",
- "3 6.66 \n",
- "4 4.65 "
- ]
- },
- "execution_count": 4847,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "raw_data.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 4848,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "dateRep datetime64[ns]\n",
- "year_week object\n",
- "cases_weekly int64\n",
- "deaths_weekly int64\n",
- "countriesAndTerritories object\n",
- "geoId object\n",
- "countryterritoryCode object\n",
- "popData2019 float64\n",
- "continentExp object\n",
- "notification_rate_per_100000_population_14-days float64\n",
- "dtype: object"
- ]
- },
- "execution_count": 4848,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "raw_data.dtypes"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 4849,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "ename": "KeyError",
- "evalue": "'Only a column name can be used for the key in a dtype mappings argument.'",
- "output_type": "error",
- "traceback": [
- "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
- "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)",
- "\u001b[0;32m<ipython-input-4849-4ccdef75f4f0>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m 9\u001b[0m \u001b[0;34m'countryterritoryCode'\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 10\u001b[0m \u001b[0;34m'popData2019'\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mint64\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 11\u001b[0;31m 'continentExp': str })\n\u001b[0m",
- "\u001b[0;32m~/anaconda3/lib/python3.7/site-packages/pandas/core/generic.py\u001b[0m in \u001b[0;36mastype\u001b[0;34m(self, dtype, copy, errors, **kwargs)\u001b[0m\n\u001b[1;32m 5855\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mcol_name\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5856\u001b[0m raise KeyError(\n\u001b[0;32m-> 5857\u001b[0;31m \u001b[0;34m\"Only a column name can be used for the \"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 5858\u001b[0m \u001b[0;34m\"key in a dtype mappings argument.\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5859\u001b[0m )\n",
- "\u001b[0;31mKeyError\u001b[0m: 'Only a column name can be used for the key in a dtype mappings argument.'"
- ]
- }
- ],
- "source": [
- "# raw_data = raw_data.astype({'dateRep': np.datetime64, \n",
- "# 'day': np.int64, \n",
- "# 'month': np.int64, \n",
- "# 'year': np.int64, \n",
- "# 'cases': np.int64, \n",
- "# 'deaths': np.int64, \n",
- "# 'countriesAndTerritories': str, \n",
- "# 'geoId': str, \n",
- "# 'countryterritoryCode': str, \n",
- "# 'popData2019': np.int64, \n",
- "# 'continentExp': str })\n",
- "raw_data = raw_data.astype({'dateRep': np.datetime64, \n",
- " 'day': np.int64, \n",
- " 'month': np.int64, \n",
- " 'year': np.int64, \n",
- " 'cases': np.int64, \n",
- " 'deaths': np.int64, \n",
- " 'countriesAndTerritories': str, \n",
- " 'geoId': str, \n",
- " 'countryterritoryCode': str, \n",
- " 'popData2019': np.int64, \n",
- " 'continentExp': str })"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "raw_data.dtypes"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "raw_data[((raw_data.geoId == 'UK') & (raw_data.dateRep >= '2020-07-10'))]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# raw_data = raw_data[~ ((raw_data.geoId == 'ES') & (raw_data.dateRep >= '2020-05-22'))]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "base_data = raw_data.set_index(['geoId', 'dateRep'])\n",
- "base_data.sort_index(inplace=True)\n",
- "base_data"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "base_data.loc['ES'].loc['2020-05-10':]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "countries = raw_data[['geoId', 'countriesAndTerritories', 'popData2019', 'continentExp']]\n",
- "countries = countries[countries['popData2019'] != '']\n",
- "countries = countries.drop_duplicates()\n",
- "countries.set_index('geoId', inplace=True)\n",
- "countries = countries.astype({'popData2019': 'int64'})\n",
- "countries.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "countries.shape"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "countries[countries.countriesAndTerritories == 'Finland']"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "countries.loc[COUNTRIES_OF_INTEREST]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "countries[countries.continentExp == 'America'].index"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "data_by_date = base_data[['cases', 'deaths']]\n",
- "data_by_date.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "data_by_date.loc['UK']"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# data_by_date.deaths.drop_duplicates().sort_values().to_csv('dth.csv', header=True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "data_by_date.groupby(level=0).cumsum()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "data_by_date = data_by_date.merge(\n",
- " data_by_date.groupby(level=0).cumsum(), \n",
- " suffixes=('', '_culm'), \n",
- " left_index=True, right_index=True)\n",
- "data_by_date"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "data_by_date = data_by_date.merge(\n",
- " data_by_date[['cases', 'deaths']].groupby(level=0).diff(), \n",
- " suffixes=('', '_diff'), \n",
- " left_index=True, right_index=True)\n",
- "data_by_date"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "data_by_date.loc['UK', '2020-04-17']"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "data_by_date.loc['UK']"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# data_by_date[data_by_date.deaths_culm > DEATH_COUNT_THRESHOLD]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# days_since_threshold = data_by_date[data_by_date.deaths_culm > DEATH_COUNT_THRESHOLD].groupby(level=0).cumcount()\n",
- "# days_since_threshold.rename('since_threshold', inplace=True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "dbd = data_by_date[data_by_date.deaths_culm > DEATH_COUNT_THRESHOLD].reset_index(level=1)\n",
- "dbd['since_threshold'] = dbd.dateRep\n",
- "dbd.set_index('dateRep', append=True, inplace=True)\n",
- "dbd.sort_index(inplace=True)\n",
- "days_since_threshold = dbd.groupby(level=0).diff().since_threshold.dt.days.fillna(0).astype(int).groupby(level=0).cumsum()\n",
- "# days_since_threshold.groupby(level=0).cumsum()\n",
- "\n",
- "# days_since_threshold = dbd.rename('since_threshold')\n",
- "days_since_threshold"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# days_since_threshold = (data_by_date[data_by_date.deaths_culm > DEATH_COUNT_THRESHOLD]\n",
- "# .reset_index(level=1).groupby(level=0)\n",
- "# .diff().dateRep.dt.days\n",
- "# .groupby(level=0).cumcount()\n",
- "# )\n",
- "# days_since_threshold.rename('since_threshold', inplace=True)\n",
- "# days_since_threshold"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "data_since_threshold = data_by_date.merge(days_since_threshold, \n",
- " left_index=True, right_index=True)\n",
- "data_since_threshold"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "data_since_threshold = data_since_threshold.set_index('since_threshold', append=True\n",
- " ).reorder_levels(['since_threshold', 'geoId', 'dateRep']\n",
- " ).reset_index('dateRep')\n",
- "data_since_threshold.sort_index(inplace=True)\n",
- "data_since_threshold"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "data_since_threshold.loc[(slice(None), ['UK', 'DE', 'IT']), :]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "data_since_threshold.loc[(slice(None), ['ES']), :].tail(8)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "data_since_threshold.loc[(slice(None), ['UK', 'DE', 'IT']), ['deaths_culm']].unstack().plot(logy=True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# deaths = data_since_threshold.loc[(slice(None), ['UK', 'DE', 'IT', 'IE']), ['deaths_culm']].unstack().xs('deaths_culm', axis=1, drop_level=True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "deaths = data_since_threshold.loc[(slice(None), COUNTRIES_ALL), ['deaths_culm']].unstack().sort_index().xs('deaths_culm', axis=1, drop_level=True)\n",
- "deaths_by_date = data_by_date.loc[COUNTRIES_ALL, ['deaths_culm']].unstack().sort_index().xs('deaths_culm', axis=1, drop_level=True).T"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "cases = data_since_threshold.loc[(slice(None), COUNTRIES_ALL), ['cases_culm']].unstack().sort_index().xs('cases_culm', axis=1, drop_level=True)\n",
- "cases_by_date = data_by_date.loc[ COUNTRIES_ALL, ['cases_culm']].unstack().sort_index().xs('cases_culm', axis=1, drop_level=True).T"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "COUNTRIES_AMERICAS_DEAD = list(set(deaths.columns) & set(COUNTRIES_AMERICAS))"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "data_since_threshold.reset_index().merge(countries, on='geoId').set_index(['since_threshold', 'geoId'])"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "data_since_threshold.reset_index().merge(countries, on='geoId').set_index(['since_threshold', 'geoId']).sort_index(inplace=True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "data_since_threshold_per_capita = data_since_threshold.reset_index().merge(countries, on='geoId').set_index(['since_threshold', 'geoId'])\n",
- "data_since_threshold_per_capita['cases_culm_pc'] = data_since_threshold_per_capita.cases_culm / data_since_threshold_per_capita.popData2019\n",
- "data_since_threshold_per_capita['deaths_culm_pc'] = data_since_threshold_per_capita.deaths_culm / data_since_threshold_per_capita.popData2019\n",
- "data_since_threshold_per_capita"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "deaths_pc = data_since_threshold_per_capita.loc[(slice(None), ['UK', 'DE', 'IT', 'IE']), ['deaths_culm_pc']].unstack().sort_index().xs('deaths_culm_pc', axis=1, drop_level=True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "deaths_pc.index"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "deaths_pc = data_since_threshold_per_capita.loc[(slice(None), COUNTRIES_ALL), ['deaths_culm_pc']].unstack().xs('deaths_culm_pc', axis=1, drop_level=True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "deaths[COUNTRIES_CORE].plot()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "deaths[COUNTRIES_FRIENDS].plot()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "ax = deaths[COUNTRIES_FRIENDS].plot(figsize=(10, 6), title=\"Total deaths, linear\")\n",
- "ax.set_xlabel(f\"Days since {DEATH_COUNT_THRESHOLD} deaths\")\n",
- "for c in COUNTRIES_FRIENDS:\n",
- " lvi = deaths[c].last_valid_index()\n",
- " ax.text(x = lvi + 1, y = deaths[c][lvi], s = f\"{c}: {deaths[c][lvi]:.0f}\")\n",
- "# plt.savefig('covid_deaths_total_linear.png') "
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "ax = deaths[COUNTRIES_CORE].plot(figsize=(10, 6), title=\"Total deaths, linear\")\n",
- "ax.set_xlabel(f\"Days since {DEATH_COUNT_THRESHOLD} deaths\")\n",
- "for c in COUNTRIES_CORE:\n",
- " lvi = deaths[c].last_valid_index()\n",
- " ax.text(x = lvi + 1, y = deaths[c][lvi], s = f\"{c}: {deaths[c][lvi]:.0f}\")\n",
- "# plt.savefig('covid_deaths_total_linear.png') "
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "ax = deaths_by_date.loc['2020-03-15':, COUNTRIES_CORE].plot(figsize=(10, 6), title=\"Total deaths, linear\")\n",
- "# data_by_date.loc[COUNTRIES_CORE]\n",
- "# deaths_by_date = data_by_date.loc[COUNTRIES_ALL, ['deaths_culm']].unstack().sort_index().xs('deaths_culm', axis=1, drop_level=True)\n",
- "ax.set_xlabel(f\"Date\")\n",
- "for c in COUNTRIES_CORE:\n",
- " lvi = deaths_by_date[c].last_valid_index()\n",
- " ax.text(x = lvi + pd.Timedelta(days=1), y = deaths_by_date[c][lvi], s = f\"{c}: {deaths_by_date[c][lvi]:.0f}\")\n",
- "plt.savefig('covid_deaths_total_linear.png') "
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "deaths_prime = deaths[COUNTRIES_CORE].copy()\n",
- "deaths_prime.loc[73:, 'ES'] = np.NaN\n",
- "# deaths_prime['ES'][70:]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "ax = deaths_prime[COUNTRIES_CORE].plot(figsize=(10, 6), title=\"Total deaths, linear\")\n",
- "for c in COUNTRIES_CORE:\n",
- " lvi = deaths_prime[c].last_valid_index()\n",
- " ax.text(x = lvi + 1, y = deaths_prime[c][lvi], s = f\"{c}: {deaths_prime[c][lvi]:.0f}\")\n",
- "# plt.savefig('covid_deaths_total_linear.png') "
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "ax = cases[COUNTRIES_CORE].plot(figsize=(10, 6), title=\"Total cases, linear\")\n",
- "for c in COUNTRIES_CORE:\n",
- " lvi = cases[c].last_valid_index()\n",
- " ax.text(x = lvi + 1, y = cases[c][lvi], s = c)\n",
- "plt.savefig('covid_cases_total_linear.png') "
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "ax = deaths[COUNTRIES_AMERICAS_DEAD].plot(figsize=(10, 6), title=\"Total deaths, linear\")\n",
- "for c in COUNTRIES_AMERICAS_DEAD:\n",
- " lvi = deaths[c].last_valid_index()\n",
- " ax.text(x = lvi + 1, y = deaths[c][lvi], s = c)\n",
- "# plt.savefig('covid_deaths_total_linear.png') "
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "ax = deaths[COUNTRIES_CORE + ['BR', 'MX']].plot(figsize=(10, 6), title=\"Total deaths, linear\")\n",
- "for c in COUNTRIES_CORE + ['BR', 'MX']:\n",
- " lvi = deaths[c].last_valid_index()\n",
- " ax.text(x = lvi + 1, y = deaths[c][lvi], s = c)\n",
- "# plt.savefig('covid_deaths_total_linear.png') "
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "ax = deaths[COUNTRIES_NORDIC].plot(figsize=(10, 6), title=\"Total deaths, linear\")\n",
- "for c in COUNTRIES_NORDIC:\n",
- " lvi = deaths[c].last_valid_index()\n",
- " ax.text(x = lvi + 1, y = deaths[c][lvi], s = c)\n",
- "# plt.savefig('covid_deaths_total_linear.png') "
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "ax = deaths[COUNTRIES_OF_INTEREST].plot(figsize=(10, 6), title=\"Total deaths, linear\")\n",
- "for c in COUNTRIES_OF_INTEREST:\n",
- " lvi = deaths[c].last_valid_index()\n",
- " ax.text(x = lvi + 1, y = deaths[c][lvi], s = c)\n",
- "plt.savefig('covid_deaths_total_linear_of_interest.png') "
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "ax = deaths[COUNTRIES_CORE].plot(logy=True, figsize=(10, 6), title=\"Total deaths, log\")\n",
- "for c in COUNTRIES_CORE:\n",
- " lvi = deaths[c].last_valid_index()\n",
- " ax.text(x = lvi + 1, y = deaths[c][lvi], s = c)\n",
- "\n",
- "plt.savefig('covid_deaths_total_log.png')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "ylim = (5*10**3, 5*10**4)\n",
- "ax = deaths[COUNTRIES_CORE].plot(logy=True, figsize=(10, 6), ylim=ylim, title=\"Total deaths, log\")\n",
- "for c in COUNTRIES_CORE:\n",
- " lvi = deaths[c].last_valid_index()\n",
- " if ylim[0] < deaths[c][lvi] < ylim[1]:\n",
- " ax.text(x = lvi + 1, y = deaths[c][lvi], s = c)\n",
- "\n",
- "# plt.savefig('covid_deaths_total_log.png')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "ax = deaths[COUNTRIES_FRIENDS].plot(logy=True, figsize=(10, 6), title=\"Total deaths, log\")\n",
- "for c in COUNTRIES_FRIENDS:\n",
- " lvi = deaths[c].last_valid_index()\n",
- " ax.text(x = lvi + 1, y = deaths[c][lvi], s = c)\n",
- "\n",
- "# plt.savefig('covid_deaths_total_log.png')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "ax = deaths[COUNTRIES_NORDIC].plot(logy=True, figsize=(10, 6), title=\"Total deaths, log\")\n",
- "for c in COUNTRIES_NORDIC:\n",
- " lvi = deaths[c].last_valid_index()\n",
- " ax.text(x = lvi + 1, y = deaths[c][lvi], s = c)\n",
- "\n",
- "# plt.savefig('covid_deaths_total_log.png')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "ax = deaths[COUNTRIES_OF_INTEREST].plot(logy=True, figsize=(10, 6), title=\"Total deaths, log\")\n",
- "for c in COUNTRIES_OF_INTEREST:\n",
- " lvi = deaths[c].last_valid_index()\n",
- " ax.text(x = lvi + 1, y = deaths[c][lvi], s = c)\n",
- "\n",
- "plt.savefig('covid_deaths_total_log.png')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "ax = deaths_pc.plot(figsize=(10, 6), title=\"Deaths per capita, linear\")\n",
- "for c in deaths_pc.columns:\n",
- " lvi = deaths_pc[c].last_valid_index()\n",
- " ax.text(x = lvi + 1, y = deaths_pc[c][lvi], s = c)\n",
- "plt.savefig('covid_deaths_per_capita_linear.png')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "ax = deaths_pc.plot(logy=True, figsize=(10, 6), title=\"Deaths per capita, log\")\n",
- "for c in deaths_pc.columns:\n",
- " lvi = deaths_pc[c].last_valid_index()\n",
- " ax.text(x = lvi + 1, y = deaths_pc[c][lvi], s = c)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "deaths_pc[['UK', 'IE']].plot( figsize=(10, 6), title=\"Deaths per capita, linear\")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "deaths_pc[['UK', 'IE']].plot(logy=True, figsize=(10, 6), title=\"Deaths per capita, log\")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "deaths[['UK', 'ES', 'IT']].plot(logy=True, figsize=(10, 6), title=\"Deaths, log\")\n",
- "plt.savefig('covid_deaths_selected_log.png')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "deaths[['UK', 'ES', 'IT', 'MX']].plot(logy=True, figsize=(10, 6), title=\"Deaths, log\")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "data_since_threshold.loc[(slice(None), ['UK', 'DE', 'IT']), :]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "data_since_threshold['deaths_m4'] = data_since_threshold.groupby(level=1)['deaths'].transform(lambda x: x.rolling(4, 1).mean())\n",
- "data_since_threshold['deaths_m7'] = data_since_threshold.groupby(level=1)['deaths'].transform(lambda x: x.rolling(7, 1).mean())\n",
- "data_since_threshold['cases_m7'] = data_since_threshold.groupby(level=1)['cases'].transform(lambda x: x.rolling(7, 1).mean())\n",
- "# data_since_threshold['deaths_diff_m4'] = data_since_threshold.groupby(level=1)['deaths_diff'].transform(lambda x: x.rolling(4, 1).mean())\n",
- "# data_since_threshold['deaths_diff_m7'] = data_since_threshold.groupby(level=1)['deaths_diff'].transform(lambda x: x.rolling(7, 1).mean())\n",
- "data_since_threshold.loc[(slice(None), ['UK', 'DE', 'IT']), :]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "deaths_m4 = (data_since_threshold.loc[(slice(None), COUNTRIES_ALL), ['deaths_m4']]\n",
- " .unstack().sort_index().xs('deaths_m4', axis=1, drop_level=True))"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "deaths_m7 = (data_since_threshold.loc[(slice(None), COUNTRIES_ALL), ['deaths_m7']]\n",
- " .unstack().sort_index().xs('deaths_m7', axis=1, drop_level=True))"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "cases_m7 = (data_since_threshold.loc[(slice(None), COUNTRIES_ALL), ['cases_m7']]\n",
- " .unstack().sort_index().xs('cases_m7', axis=1, drop_level=True))"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "data_by_date['cases_m7'] = data_by_date.groupby(level=0)['cases'].transform(lambda x: x.rolling(7, 1).mean())\n",
- "data_by_date['deaths_m7'] = data_by_date.groupby(level=0)['deaths'].transform(lambda x: x.rolling(7, 1).mean())\n",
- "data_by_date"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "data_by_date.loc[('UK', '2020-07-15'):'UK', 'cases'].plot()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "cases_by_date_m7 = data_by_date.loc[COUNTRIES_ALL, 'cases_m7'].unstack(level=0).sort_index()\n",
- "cases_by_date_m7[COUNTRIES_CORE].plot()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "deaths_by_date_m7 = data_by_date.loc[COUNTRIES_ALL, 'deaths_m7'].unstack(level=0).sort_index()\n",
- "deaths_by_date_m7[COUNTRIES_CORE].plot()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "ax = deaths_m4.plot(figsize=(10, 6), title=\"Deaths per day, 4 day moving average\")\n",
- "for c in deaths_m4.columns:\n",
- " lvi = deaths_m4[c].last_valid_index()\n",
- " ax.text(x = lvi + 1, y = deaths_m4[c][lvi], s = c)\n",
- "plt.savefig('covid_deaths_per_day.png') "
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "ax = deaths_m4[COUNTRIES_CORE].plot(figsize=(10, 6), title=\"Deaths per day, 4 day moving average\")\n",
- "for c in COUNTRIES_CORE:\n",
- " lvi = deaths_m4[c].last_valid_index()\n",
- " ax.text(x = lvi + 1, y = deaths_m4[c][lvi], s = c)\n",
- "plt.savefig('covid_deaths_per_day-core.png') "
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "ax = deaths_m4[COUNTRIES_FRIENDS].plot(figsize=(10, 6), title=\"Deaths per day, 4 day moving average\")\n",
- "for c in COUNTRIES_FRIENDS:\n",
- " lvi = deaths_m4[c].last_valid_index()\n",
- " ax.text(x = lvi + 1, y = deaths_m4[c][lvi], s = c)\n",
- "# plt.savefig('covid_deaths_per_day-friends.png') "
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "C7s = 'ES FR IT UK'.split()\n",
- "ax = deaths_m7[C7s].plot(figsize=(10, 6), title=\"Deaths per day, 7 day moving average\")\n",
- "for c in C7s:\n",
- " lvi = deaths_m7[c].last_valid_index()\n",
- " ax.text(x = lvi + 1, y = deaths_m7[c][lvi], s = c)\n",
- "# plt.savefig('covid_deaths_per_day-friends.png') "
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "ax = deaths_m7[COUNTRIES_CORE].plot(figsize=(10, 6), title=\"Deaths per day, 7 day moving average\")\n",
- "ax.set_xlabel(f\"Days since {DEATH_COUNT_THRESHOLD} deaths\")\n",
- "for c in COUNTRIES_CORE:\n",
- " lvi = deaths_m7[c].last_valid_index()\n",
- " ax.text(x = lvi + 1, y = deaths_m7[c][lvi], s = c)\n",
- "# plt.axhline(0, color='0.7')\n",
- "plt.savefig('covid_deaths_per_day_7.png') "
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "ax = deaths_m7[COUNTRIES_FRIENDS].plot(figsize=(10, 6), title=\"Deaths per day, 7 day moving average\")\n",
- "ax.set_xlabel(f\"Days since {DEATH_COUNT_THRESHOLD} deaths\")\n",
- "for c in COUNTRIES_FRIENDS:\n",
- " lvi = deaths_m7[c].last_valid_index()\n",
- " ax.text(x = lvi + 1, y = deaths_m7[c][lvi], s = c)\n",
- "# plt.axhline(0, color='0.7')\n",
- "plt.savefig('covid_deaths_per_day-friends.png') "
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "deaths_m7_prime = deaths_m7[COUNTRIES_CORE].copy()\n",
- "deaths_m7_prime.loc[73:, 'ES'] = np.NaN\n",
- "deaths_m7_prime['ES'][70:]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "ax = deaths_m7_prime[COUNTRIES_CORE].plot(figsize=(10, 6), title=\"Deaths per day, 7 day moving average\")\n",
- "for c in COUNTRIES_CORE:\n",
- " lvi = deaths_m7_prime[c].last_valid_index()\n",
- " ax.text(x = lvi + 1, y = deaths_m7_prime[c][lvi], s = c)\n",
- "plt.savefig('covid_deaths_per_day_7.png') # see below for where this is written, with the projection"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "ax = deaths_by_date_m7.loc['2020-03-01':, COUNTRIES_CORE].plot(figsize=(10, 6), title=\"Deaths per day, 7 day moving average\")\n",
- "ax.set_xlabel('Date')\n",
- "for c in COUNTRIES_CORE:\n",
- " lvi = deaths_by_date_m7[c].last_valid_index()\n",
- " ax.text(x = lvi + pd.Timedelta(days=1), y = deaths_by_date_m7[c][lvi], s = c)\n",
- "plt.savefig('covid_deaths_per_day_7.png') "
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "ax = deaths_m7[COUNTRIES_FRIENDS].plot(figsize=(10, 6), title=\"Deaths per day, 7 day moving average\")\n",
- "for c in COUNTRIES_FRIENDS:\n",
- " lvi = deaths_m7[c].last_valid_index()\n",
- " ax.text(x = lvi + 1, y = deaths_m7[c][lvi], s = c)\n",
- "plt.savefig('covid_deaths_per_day_friends_7.png') "
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "ax = deaths_m7[COUNTRIES_CORE + ['BR', 'MX']].plot(figsize=(10, 6), title=\"Deaths per day, 7 day moving average\")\n",
- "for c in COUNTRIES_CORE + ['BR', 'MX']:\n",
- " lvi = deaths_m7[c].last_valid_index()\n",
- " ax.text(x = lvi + 1, y = deaths_m7[c][lvi], s = c)\n",
- "# plt.savefig('covid_deaths_per_day_7.png') "
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "ax = deaths_by_date_m7.iloc[-30:][COUNTRIES_CORE].plot(figsize=(10, 6), title=\"Deaths per day, 7 day moving average\")#, ylim=(-10, 100))\n",
- "ax.set_xlabel(\"Date\")\n",
- "\n",
- "text_x_pos = deaths_by_date_m7.last_valid_index() + pd.Timedelta(days=1)\n",
- "\n",
- "for c in COUNTRIES_CORE:\n",
- " lvi = deaths_by_date_m7[c].last_valid_index()\n",
- "# if c != 'ES':\n",
- " ax.text(x = text_x_pos, y = deaths_by_date_m7[c][lvi], s = f\"{c}: {deaths_by_date_m7[c][lvi]:.0f}\")\n",
- "plt.savefig('deaths_by_date_last_30_days.png') "
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "ax = deaths_by_date_m7.iloc[-30:][COUNTRIES_FRIENDS].plot(figsize=(10, 6), title=\"Deaths per day, 7 day moving average\")#, ylim=(-10, 100))\n",
- "ax.set_xlabel(\"Date\")\n",
- "\n",
- "text_x_pos = deaths_by_date_m7.last_valid_index() + pd.Timedelta(days=1)\n",
- "\n",
- "for c in COUNTRIES_FRIENDS:\n",
- " lvi = deaths_by_date_m7[c].last_valid_index()\n",
- "# if c != 'ES':\n",
- " ax.text(x = text_x_pos, y = deaths_by_date_m7[c][lvi], s = f\"{c}: {deaths_by_date_m7[c][lvi]:.0f}\")\n",
- "plt.savefig('deaths_by_date_last_30_days_friends.png') "
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "ax = cases_m7[COUNTRIES_CORE].plot(figsize=(10, 6), title=\"Cases per day, 7 day moving average\")\n",
- "for c in COUNTRIES_CORE:\n",
- " lvi = cases_m7[c].last_valid_index()\n",
- " ax.text(x = lvi + 1, y = cases_m7[c][lvi], s = c)\n",
- "plt.savefig('covid_cases_per_day-core.png') "
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "ax = cases_m7[COUNTRIES_FRIENDS].plot(figsize=(10, 6), title=\"Cases per day, 7 day moving average\")\n",
- "for c in COUNTRIES_FRIENDS:\n",
- " lvi = cases_m7[c].last_valid_index()\n",
- " ax.text(x = lvi + 1, y = cases_m7[c][lvi], s = c)\n",
- "plt.savefig('covid_cases_per_day-core.png') "
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "ax = cases_by_date_m7.iloc[-30:][COUNTRIES_FRIENDS].plot(figsize=(10, 6), title=\"Cases per day, 7 day moving average\")#, ylim=(-10, 100))\n",
- "ax.set_xlabel(\"Date\")\n",
- "\n",
- "text_x_pos = cases_by_date_m7.last_valid_index() + pd.Timedelta(days=1)\n",
- "\n",
- "for c in COUNTRIES_FRIENDS:\n",
- " lvi = cases_by_date_m7[c].last_valid_index()\n",
- "# if c != 'ES':\n",
- " ax.text(x = text_x_pos, y = cases_by_date_m7[c][lvi], s = f\"{c}: {cases_by_date_m7[c][lvi]:.0f}\")\n",
- "plt.savefig('cases_by_date_last_30_days_friends.png') "
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "def gmean_scale(items):\n",
- " return gmean(items) / items[-1]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "def doubling_time(df):\n",
- " return np.log(2) / np.log((df.deaths_culm + df.deaths_g4) / df.deaths_culm)\n",
- "\n",
- "def doubling_time_7(df):\n",
- " return np.log(2) / np.log((df.deaths_culm + df.deaths_g7) / df.deaths_culm)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# data_since_threshold['deaths_g4'] = data_since_threshold.groupby(level=1)['deaths'].transform(lambda x: x.rolling(4, 1).apply(gmean_scale, raw=True))\n",
- "# data_since_threshold.loc[(slice(None), ['UK', 'DE', 'IT']), :]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "data_since_threshold['deaths_g4'] = data_since_threshold.groupby(level=1)['deaths'].transform(lambda x: x.rolling(4, 1).apply(gmean, raw=True))\n",
- "data_since_threshold['deaths_g7'] = data_since_threshold.groupby(level=1)['deaths'].transform(lambda x: x.rolling(7, 1).apply(gmean, raw=True))\n",
- "data_since_threshold.loc[(slice(None), ['UK', 'DE', 'IT']), :]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "data_since_threshold['doubling_time'] = data_since_threshold.groupby(level=1).apply(doubling_time).reset_index(level=0, drop=True).sort_index()\n",
- "data_since_threshold['doubling_time_7'] = data_since_threshold.groupby(level=1).apply(doubling_time_7).reset_index(level=0, drop=True).sort_index()\n",
- "# data_since_threshold.loc[(slice(None), 'UK'), :]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "data_by_date['deaths_g4'] = data_by_date.groupby(level=0)['deaths'].transform(lambda x: x.rolling(4, 1).apply(gmean, raw=True))\n",
- "data_by_date['deaths_g7'] = data_by_date.groupby(level=0)['deaths'].transform(lambda x: x.rolling(7, 1).apply(gmean, raw=True))\n",
- "data_by_date['doubling_time'] = data_by_date.groupby(level=0).apply(doubling_time).reset_index(level=0, drop=True).sort_index()\n",
- "data_by_date['doubling_time_7'] = data_by_date.groupby(level=0).apply(doubling_time_7).reset_index(level=0, drop=True).sort_index()\n",
- "data_by_date.loc['UK']"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "doubling_times = (data_since_threshold.loc[(slice(None), COUNTRIES_OF_INTEREST), ['doubling_time']]\n",
- " .unstack().sort_index().xs('doubling_time', axis=1, drop_level=True))\n",
- "doubling_times.replace([np.inf, -np.inf], np.nan, inplace=True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "doubling_times_7 = (data_since_threshold.loc[(slice(None), COUNTRIES_OF_INTEREST), ['doubling_time_7']]\n",
- " .unstack().sort_index().xs('doubling_time_7', axis=1, drop_level=True))\n",
- "doubling_times_7.replace([np.inf, -np.inf], np.nan, inplace=True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "ax = doubling_times.plot(figsize=(10, 6), title=\"Doubling times, 4 day average\")\n",
- "for c in doubling_times.columns:\n",
- " lvi = doubling_times[c].last_valid_index()\n",
- " ax.text(x = lvi + 1, y = doubling_times[c][lvi], s = c)\n",
- "# plt.savefig('covid_deaths_per_day.png') "
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "ax = doubling_times_7[COUNTRIES_CORE].plot(figsize=(10, 6), title=\"Doubling times, 7 day average\")\n",
- "ax.legend(loc=\"upper left\")\n",
- "for c in COUNTRIES_CORE:\n",
- " lvi = doubling_times_7[c].last_valid_index()\n",
- " ax.text(x = lvi + 1, y = doubling_times_7[c][lvi], s = c)\n",
- "plt.savefig('covid_doubling_times_7.png') "
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "ax = doubling_times[COUNTRIES_CORE].plot(figsize=(10, 6), title=\"Doubling times, 4 day average\")\n",
- "for c in COUNTRIES_CORE:\n",
- " lvi = doubling_times[c].last_valid_index()\n",
- " ax.text(x = lvi + 1, y = doubling_times[c][lvi], s = c)\n",
- "plt.savefig('covid_doubling_times.png') "
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "ax = doubling_times[COUNTRIES_FRIENDS].plot(figsize=(10, 6), title=\"Doubling times\")\n",
- "for c in COUNTRIES_FRIENDS:\n",
- " lvi = doubling_times[c].last_valid_index()\n",
- " ax.text(x = lvi + 1, y = doubling_times[c][lvi], s = c)\n",
- "plt.savefig('covid_doubling_times_friends.png')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "ax = doubling_times[C7s].plot(figsize=(10, 6), title=\"Doubling times\")\n",
- "for c in C7s:\n",
- " lvi = doubling_times[c].last_valid_index()\n",
- " ax.text(x = lvi + 1, y = doubling_times[c][lvi], s = c)\n",
- "# plt.savefig('covid_doubling_times_friends.png')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# deaths_diff_m4 = (data_since_threshold.loc[(slice(None), COUNTRIES_ALL), ['deaths_diff_m4']]\n",
- "# .unstack().sort_index().xs('deaths_diff_m4', axis=1, drop_level=True))"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# deaths_diff_m7 = (data_since_threshold.loc[(slice(None), COUNTRIES_ALL), ['deaths_diff_m7']]\n",
- "# .unstack().sort_index().xs('deaths_diff_m7', axis=1, drop_level=True))"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# deaths_diff_m7"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# data_since_threshold.replace([np.inf, -np.inf], np.nan).groupby(level=1).last().loc[COUNTRIES_ALL]#, [doubling_time]]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "dstl = data_since_threshold.replace([np.inf, -np.inf], np.nan).groupby(level=1).last()\n",
- "dstl.loc[dstl.index.intersection(COUNTRIES_ALL)]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# data_since_threshold.replace([np.inf, -np.inf], np.nan).groupby(level=1).last().loc[['UK', 'DE', 'IT']]#, [doubling_time]]\n",
- "dstl.loc[['UK', 'DE', 'IT', 'FR', 'ES']]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "data_since_threshold.loc[(slice(None), ['UK']), :].tail(20)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "data_since_threshold.loc[(slice(None), ['ES']), :].tail(20)"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "Collapsed": "false"
- },
- "source": [
- "## Death projections"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "data_since_threshold.loc[(slice(None), ['UK']), :].tail(15)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "it_since_threshold = data_since_threshold.replace([np.inf, -np.inf], np.nan).loc[(slice(None), ['IT']), :]\n",
- "s_end = it_since_threshold.index.max()[0]\n",
- "s_end"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "uk_projection = data_since_threshold.replace([np.inf, -np.inf], np.nan).loc[(slice(None), ['UK']), :]\n",
- "uk_current_end = uk_projection.index.max()[0] + 1\n",
- "# s_start = uk_projection.index.max()[0] + 1\n",
- "uk_current_end"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "current_uk_deaths_m7 = uk_projection[uk_projection.deaths_m7 >= 0].iloc[-1].deaths_m7\n",
- "current_uk_deaths_m7"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "it_since_threshold[it_since_threshold.deaths_m7 <= current_uk_deaths_m7].loc[60:].first_valid_index()[0]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "s_start = it_since_threshold[it_since_threshold.deaths_m7 <= current_uk_deaths_m7].loc[60:].first_valid_index()[0]\n",
- "s_start"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "s_start_date = data_since_threshold.loc[(89, 'IT'), 'dateRep']# .iloc[0]\n",
- "s_start_date"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "s_end - s_start"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "uk_end = s_end - s_start + uk_current_end\n",
- "uk_end"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "proj = it_since_threshold.loc[(slice(s_start, s_end), slice(None)), ['cases', 'deaths', 'deaths_m7']]\n",
- "ndiff = uk_current_end - s_start\n",
- "proj.index = pd.MultiIndex.from_tuples([(n + ndiff, 'UK') for n, _ in proj.index], names=proj.index.names)\n",
- "proj"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "it_since_threshold.loc[(slice(s_start - 8, s_start + 2), slice(None)), ['cases', 'deaths', 'deaths_m7']]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "uk_projection[['cases', 'deaths', 'deaths_m7']].tail()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# proj['deaths_m7'] = proj['deaths_m7'] + 20\n",
- "# proj"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "Collapsed": "false"
- },
- "source": [
- "Projected deaths, UK following IT trend from now."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "uk_projection = uk_projection.append(proj, sort=True)\n",
- "uk_projection.deaths.sum()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "uk_projection = uk_projection.droplevel(1)\n",
- "uk_projection"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "uk_projection.loc[152, 'deaths']"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "Collapsed": "false"
- },
- "source": [
- "## Correction for cumulative deaths correction on 14 August"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# uk_projection.loc[152, 'deaths'] = 50"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "uk_projection['deaths_m7'] = uk_projection['deaths'].transform(lambda x: x.rolling(7, 1).mean())\n",
- "uk_projection.loc[(uk_current_end - 20):(uk_current_end + 5)]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "uk_projection.loc[(uk_current_end - 5):]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "uk_projection.deaths_m7.plot()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "proj.droplevel(level=1)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "ax = deaths_m7[COUNTRIES_CORE].plot()\n",
- "# uk_projection['deaths_m7'].plot(figsize=(10, 6), title=\"Deaths per day, 7 day moving average\", label=\"Projection\", style='--', ax=ax)\n",
- "proj.droplevel(level=1)['deaths_m7'].plot(figsize=(10, 6), title=\"Deaths per day, 7 day moving average\", label=\"Projection\", style='--', ax=ax)\n",
- "ax.set_xlabel(f\"Days since {DEATH_COUNT_THRESHOLD} deaths\")\n",
- "for c in COUNTRIES_CORE:\n",
- " lvi = deaths_m7[c].last_valid_index()\n",
- " ax.text(x = lvi + 1, y = deaths_m7[c][lvi], s = c)\n",
- "# plt.savefig('covid_deaths_per_day_7.png') "
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "it_since_threshold.deaths.sum()"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "Collapsed": "false"
- },
- "source": [
- "# Excess deaths calculation"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "with open('excess_deaths.json') as f:\n",
- " excess_deaths_data = json.load(f)\n",
- " \n",
- "# with open('excess_death_accuracy.json') as f:\n",
- "# excess_death_accuracy = json.load(f)\n",
- " \n",
- "excess_deaths_data"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "additional_deaths = data_by_date.loc[('UK', excess_deaths_data['end_date']):('UK')].iloc[1:].deaths.sum()\n",
- "additional_deaths"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "uk_covid_deaths = data_by_date.loc['UK'].deaths.sum()\n",
- "uk_covid_deaths"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "uk_deaths_to_date = int(excess_deaths_data['excess_deaths']) + additional_deaths\n",
- "uk_deaths_to_date"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# excess_deaths_upto = '2020-05-08'\n",
- "# excess_deaths = 54500"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# excess_deaths_upto = excess_deaths_data['end_date']\n",
- "# excess_deaths = excess_deaths_data['excess_deaths']"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "Collapsed": "false"
- },
- "source": [
- "Recorded deaths in period where ONS has reported total deaths"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# ons_reported_deaths = base_data.loc['UK'][:excess_deaths_upto]['deaths'].sum()\n",
- "# ons_reported_deaths"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# excess_deaths_upto"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "Collapsed": "false"
- },
- "source": [
- "## Correction for deaths total correction on 14 August"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# ons_unreported_deaths_data = base_data.loc['UK'][excess_deaths_upto:].iloc[1:]['deaths']\n",
- "# ons_unreported_deaths_data['2020-08-14'] = 50"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# ons_unreported_deaths = ons_unreported_deaths_data.sum()\n",
- "# ons_unreported_deaths"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# scaled_ons_unreported_deaths = ons_unreported_deaths * excess_death_accuracy\n",
- "# scaled_ons_unreported_deaths"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# uk_deaths_to_date = excess_deaths + scaled_ons_unreported_deaths\n",
- "# uk_deaths_to_date"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# data_since_threshold.loc[(slice(None), 'UK'), :][data_since_threshold.dateRep == excess_deaths_data['end_date']]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# data_since_threshold[data_since_threshold.dateRep == excess_deaths_data['end_date']].loc[(slice(None), 'UK'), :]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# ons_unreported_start = data_since_threshold[data_since_threshold.dateRep == excess_deaths_data['end_date']].loc[(slice(None), 'UK'), :].first_valid_index()[0] + 1\n",
- "# ons_unreported_start"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# unreported_projected_deaths = uk_projection.loc[ons_unreported_start:].deaths.sum()\n",
- "# unreported_projected_deaths"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# unreported_projected_deaths_scaled = unreported_projected_deaths * excess_death_accuracy\n",
- "# unreported_projected_deaths_scaled"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# uk_projection.loc[(s_start):].deaths.sum()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# deaths_actual_projected_scaled = uk_deaths_to_date + uk_projection.loc[(s_start):].deaths.sum() * excess_death_accuracy\n",
- "# deaths_actual_projected_scaled"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# excess_deaths / reported_deaths"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "Collapsed": "false"
- },
- "source": [
- "True deaths to date, if we follow the scaling of excess deaths over reported deaths so far."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# uk_covid_deaths = data_since_threshold.replace([np.inf, -np.inf], np.nan).loc[(slice(None), ['UK']), 'deaths_culm'].iloc[-1]\n",
- "# uk_covid_deaths"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# uk_covid_deaths_scaled = excess_deaths + unreported_deaths * excess_death_accuracy\n",
- "# uk_covid_deaths_scaled"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# data_since_threshold.replace([np.inf, -np.inf], np.nan).loc[(slice(None), ['IT']), 'dateRep'].iloc[-1] + pd.Timedelta(s_end - s_start, unit='days')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# data_since_threshold.replace([np.inf, -np.inf], np.nan).loc[(slice(None), ['UK']), 'dateRep'].iloc[-1].strftime(\"%Y-%m-%d\")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# uk_covid_deaths * excess_deaths / reported_deaths"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# uk_projection.deaths.sum() * excess_deaths / reported_deaths"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# data_since_threshold.loc[(slice(None), 'FR'), :]\n",
- "# data_since_threshold[data_since_threshold.dateRep == '2020-05-18'].loc[(slice(None), 'FR'), :]"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "Collapsed": "false"
- },
- "source": [
- "## School reopenings"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "school_reopenings = {\n",
- " 'ES': {'date': '2020-05-18'},\n",
- " 'FR': {'date': '2020-05-18'}, # some areas only\n",
- "# 'IT': {'date': '2020-09-01'},\n",
- " # 'IE': {'date': '2020-09-01'},\n",
- " 'DE': {'date': '2020-05-04'},\n",
- " 'UK': {'date': '2020-06-01'}\n",
- "}"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "data_since_threshold[data_since_threshold.dateRep == '2020-05-04'].loc[(slice(None), ['DE']), :].first_valid_index()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "data_since_threshold[data_since_threshold.dateRep == '2020-05-04'].loc[(slice(None), ['DE']), :].iloc[0].deaths_m7"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "for cID in school_reopenings:\n",
- " dst_in = data_since_threshold[data_since_threshold.dateRep == (school_reopenings[cID]['date'])].loc[(slice(None), [cID]), :]\n",
- " dst_i = dst_in.first_valid_index()\n",
- " dst_n = dst_in.iloc[0].deaths_m7\n",
- " school_reopenings[cID]['since_threshold'] = dst_i[0]\n",
- " school_reopenings[cID]['deaths_m7'] = dst_n\n",
- "school_reopenings"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "ax = deaths_m7[COUNTRIES_CORE].plot(figsize=(15, 9), title=\"Deaths per day, 7 day moving average\")\n",
- "# uk_projection.deaths_m7.plot(ax=ax)\n",
- "for c in COUNTRIES_CORE:\n",
- " lvi = deaths_m7[c].last_valid_index()\n",
- " ax.text(x = lvi + 1, y = deaths_m7[c][lvi], s = f\"{c}: {deaths_m7[c][lvi]:.0f}\")\n",
- " if c in school_reopenings:\n",
- " marker_col = [l for l in ax.lines if l.get_label() == c][0].get_color()\n",
- " ax.plot(school_reopenings[c]['since_threshold'], school_reopenings[c]['deaths_m7'], '*', \n",
- " markersize=18, markerfacecolor=marker_col, markeredgecolor=marker_col)\n",
- " ax.text(x = school_reopenings[c]['since_threshold'] + 1, y = school_reopenings[c]['deaths_m7'], \n",
- " s = f\"{school_reopenings[c]['date']}: {school_reopenings[c]['deaths_m7']:.0f}\")\n",
- "plt.savefig('school_reopenings.png')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# ax = deaths_m7[COUNTRIES_CORE].plot(figsize=(15, 9), title=\"Deaths per day, 7 day moving average\",\n",
- "# xlim=(46, 91), ylim=(0, 400))\n",
- "# # uk_projection.deaths_m7.plot(ax=ax)\n",
- "# for c in COUNTRIES_CORE:\n",
- "# lvi = deaths_m7[c].last_valid_index()\n",
- "# ax.text(x = lvi + 1, y = deaths_m7[c][lvi], s = f\"{c}: {deaths_m7[c][lvi]:.0f}\", fontsize=14)\n",
- "# if c in school_reopenings:\n",
- "# marker_col = [l for l in ax.lines if l.get_label() == c][0].get_color()\n",
- "# ax.plot(school_reopenings[c]['since_threshold'], school_reopenings[c]['deaths_m7'], '*', \n",
- "# markersize=18, markerfacecolor=marker_col, markeredgecolor=marker_col)\n",
- "# ax.text(x = school_reopenings[c]['since_threshold'] + 1, y = school_reopenings[c]['deaths_m7'], \n",
- "# s = f\"{school_reopenings[c]['date']}: {school_reopenings[c]['deaths_m7']:.0f}\",\n",
- "# fontsize=14)\n",
- "# plt.savefig('school_reopenings_detail.png')"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "Collapsed": "false"
- },
- "source": [
- "# Lockdown graphs"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "lockdown_dates = {\n",
- " 'ES': { 'part_start': {'date': '2020-03-14'}\n",
- " , 'full_start': {'date': '2020-03-15'}\n",
- " , 'part_finish': {'date': '2020-05-18'}\n",
- " },\n",
- " 'FR': { 'part_start': {'date': '2020-03-13'}\n",
- " , 'full_start': {'date': '2020-03-17'}\n",
- " , 'part_finish': {'date': '2020-05-11'}\n",
- " },\n",
- " 'IT': { 'part_start': {'date': '2020-03-08'}\n",
- " , 'full_start': {'date': '2020-03-10'}\n",
- " , 'part_finish': {'date': '2020-05-04'}\n",
- " },\n",
- " 'DE': { #'part_start': {'date': '2020-03-13'}\n",
- " 'full_start': {'date': '2020-03-22'}\n",
- " , 'part_finish': {'date': '2020-05-06'}\n",
- " },\n",
- " 'UK': { 'part_start': {'date': '2020-03-23'}\n",
- " , 'full_start': {'date': '2020-03-23'}\n",
- " , 'part_finish': {'date': '2020-05-31'}\n",
- " },\n",
- " 'IE': { #'part_start': {'date': '2020-03-12'}\n",
- " 'full_start': {'date': '2020-03-27'}\n",
- " , 'part_finish': {'date': '2020-05-18'}\n",
- " },\n",
- "}"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "for cID in lockdown_dates:\n",
- " for phase in lockdown_dates[cID]:\n",
- " dst_in = data_since_threshold[data_since_threshold.dateRep == (lockdown_dates[cID][phase]['date'])].loc[(slice(None), [cID]), :]\n",
- " dst_i = dst_in.first_valid_index()\n",
- " dst_n = dst_in.iloc[0].deaths_m7\n",
- " dst_c = dst_in.iloc[0].cases_m7\n",
- " lockdown_dates[cID][phase]['since_threshold'] = dst_i[0]\n",
- " lockdown_dates[cID][phase]['deaths_m7'] = dst_n\n",
- " lockdown_dates[cID][phase]['cases_m7'] = dst_c\n",
- "\n",
- "lockdown_dates"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "ax = deaths_m7[COUNTRIES_CORE].plot(figsize=(15, 9), title=\"Deaths per day, 7 day moving averagee, with lockdown dates\")\n",
- "ax.set_xlabel(f\"Days since {DEATH_COUNT_THRESHOLD} deaths\")\n",
- "# uk_projection.deaths_m7.plot(ax=ax)\n",
- "for c in COUNTRIES_CORE:\n",
- " lvi = deaths_m7[c].last_valid_index()\n",
- " if c != 'UK':\n",
- " ax.text(x = lvi + 1, y = deaths_m7[c][lvi], s = f\"{c}: {deaths_m7[c][lvi]:.0f}\")\n",
- " if c in lockdown_dates:\n",
- " for phase in lockdown_dates[c]:\n",
- " marker_col = [l for l in ax.lines if l.get_label() == c][0].get_color()\n",
- " ax.plot(lockdown_dates[c][phase]['since_threshold'], lockdown_dates[c][phase]['deaths_m7'], '*',\n",
- " markersize=18, markerfacecolor=marker_col, markeredgecolor=marker_col)\n",
- " if 'start' not in phase:\n",
- " ax.text(x = lockdown_dates[c][phase]['since_threshold'] + 1, y = lockdown_dates[c][phase]['deaths_m7'], \n",
- " s = f\"{lockdown_dates[c][phase]['date']}: {lockdown_dates[c][phase]['deaths_m7']:.0f}\")\n",
- "# plt.savefig('school_reopenings.png')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "ax = cases_m7.iloc[-50:][COUNTRIES_CORE].plot(figsize=(15, 9), title=\"Cases per day, 7 day moving average, with lockdown dates\") #, ylim=(-10, 1500))\n",
- "ax.set_xlabel(f\"Days since {DEATH_COUNT_THRESHOLD} deaths\")\n",
- "# uk_projection.deaths_m7.plot(ax=ax)\n",
- "for c in COUNTRIES_CORE:\n",
- " lvi = cases_m7[c].last_valid_index()\n",
- "# if c != 'UK':\n",
- " ax.text(x = lvi + 1, y = cases_m7[c][lvi], s = f\"{c}: {cases_m7[c][lvi]:.0f}\")\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "ax = cases_m7[COUNTRIES_CORE].plot(figsize=(15, 9), title=\"Cases per day, 7 day moving average, with lockdown dates\")\n",
- "ax.set_xlabel(f\"Days since {DEATH_COUNT_THRESHOLD} deaths\")\n",
- "# uk_projection.deaths_m7.plot(ax=ax)\n",
- "for c in COUNTRIES_CORE:\n",
- " lvi = cases_m7[c].last_valid_index()\n",
- "# if c != 'UK':\n",
- " ax.text(x = lvi + 1, y = cases_m7[c][lvi], s = f\"{c}: {cases_m7[c][lvi]:.0f}\")\n",
- " if c in lockdown_dates:\n",
- " for phase in lockdown_dates[c]:\n",
- " marker_col = [l for l in ax.lines if l.get_label() == c][0].get_color()\n",
- " if 'start' in phase:\n",
- " marker_shape = '^'\n",
- " else:\n",
- " marker_shape = 'v'\n",
- " ax.plot(lockdown_dates[c][phase]['since_threshold'], lockdown_dates[c][phase]['cases_m7'], \n",
- " marker_shape,\n",
- " markersize=18, markerfacecolor=marker_col, markeredgecolor=marker_col)\n",
- " if 'start' not in phase:\n",
- " ax.text(x = lockdown_dates[c][phase]['since_threshold'] + 1, y = lockdown_dates[c][phase]['cases_m7'], \n",
- " s = f\"{lockdown_dates[c][phase]['date']}: {lockdown_dates[c][phase]['cases_m7']:.0f}\")\n",
- "# plt.savefig('cases_per_day_with_lockdown.png')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "plot_start_date = '2020-03-01'\n",
- "ax = cases_by_date_m7.loc[plot_start_date:, COUNTRIES_CORE].plot(figsize=(15, 9), title=\"Cases per day, 7 day moving average, with lockdown dates\")\n",
- "ax.set_xlabel(f\"Date\")\n",
- "ax.set_ylabel(\"Number of cases\")\n",
- "# uk_projection.deaths_m7.plot(ax=ax)\n",
- "for c in COUNTRIES_CORE:\n",
- " lvi = cases_by_date_m7[c].last_valid_index()\n",
- "# if c != 'UK':\n",
- " ax.text(x = lvi + pd.Timedelta(days=1), y = cases_by_date_m7[c][lvi], s = f\"{c}: {cases_by_date_m7[c][lvi]:.0f}\")\n",
- " if c in lockdown_dates:\n",
- " for phase in lockdown_dates[c]:\n",
- " marker_col = [l for l in ax.lines if l.get_label() == c][0].get_color()\n",
- " if 'start' in phase:\n",
- " marker_shape = '^'\n",
- " else:\n",
- " marker_shape = 'v'\n",
- " marker_x_pos = ax.get_xlim()[0] + mpl.dates.date2num(pd.to_datetime(lockdown_dates[c][phase]['date'])) - mpl.dates.date2num(pd.to_datetime(plot_start_date))\n",
- " ax.plot(marker_x_pos, lockdown_dates[c][phase]['cases_m7'], \n",
- " marker_shape,\n",
- " markersize=18, markerfacecolor=marker_col, markeredgecolor=marker_col)\n",
- " if 'start' not in phase:\n",
- " ax.text(x = marker_x_pos + 3, y = lockdown_dates[c][phase]['cases_m7'], \n",
- " s = f\"{lockdown_dates[c][phase]['date']}: {lockdown_dates[c][phase]['cases_m7']:.0f}\")\n",
- "plt.savefig('cases_per_day_with_lockdown.png')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "ax = cases_m7[COUNTRIES_CORE].plot(figsize=(10, 6), title=\"Cases per day, 7 day moving average\")\n",
- "for c in COUNTRIES_CORE:\n",
- " lvi = cases_m7[c].last_valid_index()\n",
- " ax.text(x = lvi + 1, y = cases_m7[c][lvi], s = c)\n",
- "plt.savefig('covid_cases_per_day-core.png') "
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "ax = deaths_m7[COUNTRIES_CORE].plot(figsize=(15, 9), title=\"Deaths per day, 7 day moving average\",\n",
- " xlim=(0, 15), \n",
- " ylim=(0, 66)\n",
- " )\n",
- "# uk_projection.deaths_m7.plot(ax=ax)\n",
- "for c in COUNTRIES_CORE:\n",
- " lvi = deaths_m7[c].last_valid_index()\n",
- " if c in lockdown_dates:\n",
- " for phase in lockdown_dates[c]:\n",
- " if 'start' in phase:\n",
- " print(c, phase)\n",
- " marker_col = [l for l in ax.lines if l.get_label() == c][0].get_color()\n",
- " ax.plot(lockdown_dates[c][phase]['since_threshold'], lockdown_dates[c][phase]['deaths_m7'], '*', \n",
- " markersize=18, markerfacecolor=marker_col, markeredgecolor=marker_col)\n",
- " ax.text(x = lockdown_dates[c][phase]['since_threshold'] + 0.3, y = lockdown_dates[c][phase]['deaths_m7'], \n",
- " s = f\"{lockdown_dates[c][phase]['date']}: {lockdown_dates[c][phase]['deaths_m7']:.0f}\")\n",
- "# plt.savefig('school_reopenings.png')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "Collapsed": "false"
- },
- "source": [
- "# Write results to summary file"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "with open('covid_summary.md', 'w') as f:\n",
- " f.write('% Covid death data summary\\n')\n",
- " f.write('% Neil Smith\\n')\n",
- " f.write(f'% Created on {datetime.datetime.now().strftime(\"%Y-%m-%d\")}\\n')\n",
- " f.write('\\n')\n",
- " \n",
- " last_uk_date = data_since_threshold.replace([np.inf, -np.inf], np.nan).loc[(slice(None), ['UK']), 'dateRep'].iloc[-1]\n",
- " f.write(f'> Last UK data from {last_uk_date.strftime(\"%Y-%m-%d\")}\\n')\n",
- " f.write('\\n') "
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "with open('covid_summary.md', 'a') as f:\n",
- " f.write('## Headlines\\n')\n",
- " f.write('\\n')\n",
- " f.write('| []() | |\\n')\n",
- " f.write('|:---|---:|\\n')\n",
- " f.write(f'| Deaths reported so far | {uk_covid_deaths} | \\n')\n",
- " f.write(f'| Total Covid deaths to date (estimated) | {uk_deaths_to_date:.0f} |\\n')\n",
- " projection_date = data_since_threshold.replace([np.inf, -np.inf], np.nan).loc[(slice(None), ['IT']), 'dateRep'].iloc[-1] + pd.Timedelta(s_end - s_start, unit='days')\n",
- "# f.write(f'| Projected total deaths up to {projection_date.strftime(\"%Y-%m-%d\")} | {deaths_actual_projected_scaled:.0f} | \\n')\n",
- " f.write('\\n')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "with open('covid_summary.md', 'a') as f:\n",
- " f.write('## Total deaths\\n')\n",
- "# f.write(f'Time based on days since {DEATH_COUNT_THRESHOLD} deaths\\n')\n",
- " f.write('\\n')\n",
- " f.write('\\n')\n",
- " f.write('\\n')\n",
- " f.write('| Country ID | Country name | Total deaths |\\n')\n",
- " f.write('|:-----------|:-------------|-------------:|\\n')\n",
- " for c in sorted(COUNTRIES_CORE):\n",
- " lvi = deaths_by_date[c].last_valid_index()\n",
- " f.write(f'| {c} | {countries.loc[c].countriesAndTerritories} | {int(deaths_by_date[c][lvi])} |\\n')\n",
- " f.write('\\n')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "with open('covid_summary.md', 'a') as f:\n",
- " f.write('## All-causes deaths, UK\\n')\n",
- " f.write('\\n')\n",
- " f.write('\\n')\n",
- " f.write('\\n')\n",
- " f.write('### True deaths\\n')\n",
- " f.write('\\n')\n",
- " f.write(f'The number of deaths reported in official statistics, {uk_covid_deaths}, is an underestimate '\n",
- " 'of the true number of Covid deaths.\\n'\n",
- " 'This is especially true early in the pandemic, approximately March to May 2020.\\n')\n",
- " f.write('We can get a better understanding of the impact of Covid by looking at the number of deaths, '\n",
- " 'over and above what would be expected at each week of the year.\\n')\n",
- " f.write(f'The ONS (and other bodies in Scotland and Northern Ireland) have released data on the number of deaths '\n",
- " f'up to {pd.to_datetime(excess_deaths_data[\"end_date\"]).strftime(\"%d %B %Y\")}.\\n\\n')\n",
- " f.write('If, for each of those weeks, I take the largest of the excess deaths or the reported Covid deaths, ')\n",
- " f.write(f'I estimate there have been **{uk_deaths_to_date}** total deaths so far.\\n')\n",
- " f.write('\\n')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# with open('covid_summary.md', 'a') as f:\n",
- "# f.write(f'In that period, the UK reported {ons_reported_deaths} Covid deaths.\\n')\n",
- "# f.write(f'In the last three weeks for which excess deaths have been reported, the excess deaths have been {excess_death_accuracy:.3f} higher than the Covid-reported deaths.\\n')\n",
- "# # f.write(f'That means the actual number of Covid death is about {excess_deaths / reported_deaths:.2f} times higher than the reported figures.\\n')\n",
- "# f.write('\\n')\n",
- "# f.write(f'The UK has reported {uk_covid_deaths} deaths so far.\\n')\n",
- "# f.write(f'Using the scaling factor above (for Covid-19 deaths after the ONS figures), I infer that there have been **{uk_deaths_to_date:.0f}** total deaths so far.\\n')\n",
- "# f.write('\\n')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "with open('covid_summary.md', 'a') as f:\n",
- " f.write('## Deaths per day\\n')\n",
- " f.write(f'Based on a 7-day moving average\\n')\n",
- " f.write('\\n')\n",
- " f.write('\\n')\n",
- " f.write('\\n')\n",
- " f.write('\\n')\n",
- " f.write('\\n')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "s_end - s_start - 1"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "with open('covid_summary.md', 'a') as f:\n",
- " f.write('## Projected deaths\\n')\n",
- " f.write(\"Previously, I was using Italy's deaths data to predict the UK's deaths data. \"\n",
- " \"This worked when both countries' trends of deaths were falling or constant, \"\n",
- " \"as they were until September.\\n\")\n",
- " f.write(\"\\n\")\n",
- " f.write(\"As of mid-September, with cases rising in both countries at around the same time, \"\n",
- " \"I can't use Italian data to predict the UK's future deaths.\\n\")\n",
- " f.write(\"\\n\")\n",
- "# f.write(f\"The UK's daily deaths data is very similar to Italy's.\\n\")\n",
- "# f.write(f'If I use the Italian data for the next {s_end - s_start - 1} days (from {s_start_date.strftime(\"%d %B %Y\")} onwards),')\n",
- "# f.write(f' the UK will report {uk_projection.deaths.sum()} deaths on day {uk_end} of the epidemic.\\n')\n",
- "# f.write('\\n')\n",
- "# f.write('Using the excess deaths scaling from above, that will translate into ')\n",
- "# f.write(f'**{deaths_actual_projected_scaled:.0f}** Covid deaths total.\\n')\n",
- "# f.write('\\n')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "with open('covid_summary.md', 'a') as f:\n",
- " f.write('## Deaths doubling times\\n')\n",
- " f.write(f'Based on a 7-day moving average\\n')\n",
- " f.write('\\n')\n",
- " f.write('\\n')\n",
- " f.write('\\n')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "with open('covid_summary.md', 'a') as f:\n",
- " f.write('\\n')\n",
- " f.write('## Cases per day and lockdown dates\\n')\n",
- " f.write(f'Based on a 7-day moving average\\n')\n",
- " f.write('\\n')\n",
- " f.write('\\n')\n",
- " f.write('\\n')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "with open('covid_summary.md', 'a') as f:\n",
- " f.write('| Country ID | Country name | Most recent daily cases | Most recent daily deaths |\\n')\n",
- " f.write('|:-----------|:-------------|------------------------:|-------------------------:|\\n')\n",
- " for c in sorted(COUNTRIES_CORE):\n",
- " lvic = cases_m7[c].last_valid_index()\n",
- " lvid = deaths_m7[c].last_valid_index()\n",
- " f.write(f'| {c} | {countries.loc[c].countriesAndTerritories} | {cases_m7[c][lvic]:.0f} | {deaths_m7[c][lvid]:.0f} | \\n')\n",
- " f.write('\\n')\n",
- " f.write('(Figures are 7-day averages)\\n')\n",
- " f.write('\\n')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "with open('hospital_normalisation_date.json') as f:\n",
- " hospital_normalisation_date_data = json.load(f)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "with open('covid_summary.md', 'a') as f:\n",
- " f.write('## Hospital care\\n')\n",
- " f.write(f'Based on a 7-day moving average\\n')\n",
- " f.write('\\n')\n",
- " f.write('\\n')\n",
- " f.write('\\n')\n",
- "# f.write('Admissions are shifted by 10 days, deaths by 25 days. '\n",
- "# 'This reflects the typical timescales of infection: '\n",
- "# 'patients are admitted 10 days after onset of symptoms, '\n",
- "# 'and die 15 days after admission.\\n')\n",
- "# f.write('\\n')\n",
- "# f.write('Plotting this data with offsets shows more clearly '\n",
- "# 'the relative changes in these three metrics.\\n')\n",
- " f.write('Due to the large scale differences between the three '\n",
- " 'measures, they are all normalised to show changes ')\n",
- " f.write(f'since {pd.to_datetime(hospital_normalisation_date_data[\"hospital_normalisation_date\"]).strftime(\"%d %B %Y\")}.\\n')\n",
- " f.write('\\n')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "with open('covid_summary.md', 'a') as f:\n",
- " f.write('## Testing effectiveness\\n')\n",
- " f.write('\\n')\n",
- " f.write('A question about testing is whether more detected cases is a result of more tests being '\n",
- " 'done or is because the number of cases is increasing. One way of telling the differeence '\n",
- " 'is by looking at the fraction of tests that are positive.\\n')\n",
- " f.write('\\n')\n",
- " f.write('\\n')\n",
- " f.write('\\n')\n",
- " f.write('Numbers of positive tests and cases, '\n",
- " '7-day moving average.\\n'\n",
- " 'Note the different y-axes\\n')\n",
- " f.write('\\n') \n",
- " f.write('\\n')\n",
- " f.write('\\n')\n",
- " f.write('Fraction of tests with a positive result, both daily figures and '\n",
- " '7-day moving average.\\n')\n",
- " f.write('\\n') \n",
- " f.write('\\n')\n",
- " f.write('\\n')\n",
- " f.write('\\n')\n",
- " f.write('The trajectory of tests done vs fraction positive tests.\\n')\n",
- " f.write('\\n')\n",
- " f.write('Points higher indicate more tests; points to the right indicate more positive tests.'\n",
- " 'More tests being done with the same infection prevelance will move the point up '\n",
- " 'and to the left.\\n')\n",
- " f.write('\\n')\n",
- " f.write('\\n')\n",
- " f.write('\\n')\n",
- " f.write('\\n')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "with open('covid_summary.md', 'a') as f:\n",
- " f.write('# Data sources\\n')\n",
- " f.write('\\n')\n",
- " f.write('> Covid data from [European Centre for Disease Prevention and Control](https://www.ecdc.europa.eu/en/publications-data/download-todays-data-geographic-distribution-covid-19-cases-worldwide)\\n')\n",
- " f.write('\\n') \n",
- " f.write(\"\"\"> Population data from:\n",
- "\n",
- "* [Office of National Statistics](https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/datasets/weeklyprovisionalfiguresondeathsregisteredinenglandandwales) (Endland and Wales) Weeks start on a Saturday.\n",
- "* [Northern Ireland Statistics and Research Agency](https://www.nisra.gov.uk/publications/weekly-deaths) (Northern Ireland). Weeks start on a Saturday. Note that the week numbers don't match the England and Wales data.\n",
- "* [National Records of Scotland](https://www.nrscotland.gov.uk/statistics-and-data/statistics/statistics-by-theme/vital-events/general-publications/weekly-and-monthly-data-on-births-and-deaths/weekly-data-on-births-and-deaths) (Scotland). Note that Scotland uses ISO8601 week numbers, which start on a Monday.\"\"\")\n",
- " \n",
- " f.write('\\n\\n')\n",
- " f.write('> [Source code available](https://git.njae.me.uk/?p=covid19.git;a=tree)\\n')\n",
- " f.write('\\n') \n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "!pandoc --toc -s covid_summary.md > covid_summary.html"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "!scp covid_summary.html neil@ogedei:/var/www/scripts.njae.me.uk/covid/index.html\n",
- "!scp covid_deaths_total_linear.png neil@ogedei:/var/www/scripts.njae.me.uk/covid/\n",
- "!scp deaths-radar.png neil@ogedei:/var/www/scripts.njae.me.uk/covid/\n",
- "!scp covid_deaths_per_day_7.png neil@ogedei:/var/www/scripts.njae.me.uk/covid/\n",
- "!scp covid_doubling_times_7.png neil@ogedei:/var/www/scripts.njae.me.uk/covid/\n",
- "!scp cases_per_day_with_lockdown.png neil@ogedei:/var/www/scripts.njae.me.uk/covid/\n",
- "!scp cases_admissions_deaths.png neil@ogedei:/var/www/scripts.njae.me.uk/covid/\n",
- "!scp fraction_positive_tests.png neil@ogedei:/var/www/scripts.njae.me.uk/covid/ \n",
- "!scp tests_and_cases.png neil@ogedei:/var/www/scripts.njae.me.uk/covid/\n",
- "!scp deaths_by_date_last_30_days.png neil@ogedei:/var/www/scripts.njae.me.uk/covid/\n",
- "!scp fraction_positive_tests_vs_tests.png neil@ogedei:/var/www/scripts.njae.me.uk/covid/\n",
- "!scp tests_vs_fraction_positive_animation.png neil@ogedei:/var/www/scripts.njae.me.uk/covid/ "
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "with open('uk_covid_deaths.js', 'w') as f:\n",
- " f.write(f\"document.write('{uk_covid_deaths}');\")\n",
- " \n",
- "with open('estimated_total_deaths.js', 'w') as f:\n",
- " f.write(f\"document.write('{uk_deaths_to_date:.0f}');\")\n",
- "\n",
- "# with open('projection_date.js', 'w') as f:\n",
- "# f.write(f\"document.write(\\'{projection_date.strftime('%d %B %Y')}\\');\")\n",
- "\n",
- "# with open('projected_deaths.js', 'w') as f:\n",
- "# f.write(f\"document.write('{uk_projection.deaths.sum():.0f}');\")\n",
- "\n",
- "# with open('projected_excess_deaths.js', 'w') as f:\n",
- "# f.write(f\"document.write('{deaths_actual_projected_scaled:.0f}');\")\n",
- "\n",
- "edut = pd.to_datetime(excess_deaths_data[\"end_date\"]).strftime('%d %B %Y')\n",
- "with open('excess_deaths_upto.js', 'w') as f:\n",
- " f.write(f\"document.write('{edut}');\")\n",
- "\n",
- "# with open('excess_deaths.js', 'w') as f:\n",
- "# f.write(f\"document.write('{excess_deaths:.0f}');\")\n",
- " \n",
- "# with open('reported_deaths.js', 'w') as f:\n",
- "# f.write(f\"document.write('{ons_reported_deaths:.0f}');\")\n",
- " \n",
- "# with open('scaling_factor.js', 'w') as f:\n",
- "# f.write(f\"document.write('{excess_death_accuracy:.2f}');\") \n",
- "\n",
- "# with open('projection_length.js', 'w') as f:\n",
- "# f.write(f\"document.write('{s_end - s_start - 1}');\")\n",
- " \n",
- "# with open('s_end.js', 'w') as f:\n",
- "# f.write(f\"document.write('{s_end}');\")\n",
- " \n",
- "# s_start_date_str = s_start_date.strftime(\"%d %B %Y\")\n",
- "# with open('s_start_date.js', 'w') as f:\n",
- "# f.write(f\"document.write('{s_start_date_str}');\")\n",
- " \n",
- "# with open('uk_end.js', 'w') as f:\n",
- "# f.write(f\"document.write('{uk_end}');\")\n",
- " \n",
- "with open('last_uk_date.js', 'w') as f:\n",
- " f.write(f\"document.write('{pd.to_datetime(last_uk_date).strftime('%d %B %Y')}');\")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# pd.to_datetime(excess_deaths_upto).strftime('%d %B %Y')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "!scp uk_covid_deaths.js neil@ogedei:/var/www/scripts.njae.me.uk/covid/\n",
- "!scp estimated_total_deaths.js neil@ogedei:/var/www/scripts.njae.me.uk/covid/\n",
- "# !scp projection_date.js neil@ogedei:/var/www/scripts.njae.me.uk/covid/\n",
- "# !scp projected_deaths.js neil@ogedei:/var/www/scripts.njae.me.uk/covid/\n",
- "# !scp projected_excess_deaths.js neil@ogedei:/var/www/scripts.njae.me.uk/covid/\n",
- "!scp excess_deaths_upto.js neil@ogedei:/var/www/scripts.njae.me.uk/covid/\n",
- "# !scp excess_deaths.js neil@ogedei:/var/www/scripts.njae.me.uk/covid/\n",
- "# !scp reported_deaths.js neil@ogedei:/var/www/scripts.njae.me.uk/covid/\n",
- "# !scp scaling_factor.js neil@ogedei:/var/www/scripts.njae.me.uk/covid/\n",
- "# !scp projection_length.js neil@ogedei:/var/www/scripts.njae.me.uk/covid/\n",
- "# !scp s_end.js neil@ogedei:/var/www/scripts.njae.me.uk/covid/\n",
- "# !scp s_start_date.js neil@ogedei:/var/www/scripts.njae.me.uk/covid/\n",
- "# !scp uk_end.js neil@ogedei:/var/www/scripts.njae.me.uk/covid/\n",
- "!scp last_uk_date.js neil@ogedei:/var/www/scripts.njae.me.uk/covid/\n",
- "!scp hospital_normalisation_date.js neil@ogedei:/var/www/scripts.njae.me.uk/covid/"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "data_by_date.loc['UK'].to_csv('data_by_day_uk.csv', header=True, index=True)\n",
- "data_by_date.loc['BE'].to_csv('data_by_day_be.csv', header=True, index=True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "ukd = data_since_threshold.replace([np.inf, -np.inf], np.nan).loc[(slice(None), ['UK']), ['deaths', 'deaths_m7']].droplevel(1)\n",
- "ax = ukd.deaths.plot.bar(figsize=(12, 8))\n",
- "ukd.deaths_m7.plot.line(ax=ax, color='red')\n",
- "# ax = data_since_threshold.replace([np.inf, -np.inf], np.nan).loc[(slice(None), ['UK']), 'deaths_m7'].plot.line(figsize=(12, 8), color='red')\n",
- "# ax = data_since_threshold.replace([np.inf, -np.inf], np.nan).loc[(slice(None), ['UK']), 'deaths'].plot.bar(ax=ax)\n",
- "ax.set_xticks(range(0, 120, 20))"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "ukdd = data_by_date.loc['UK'].iloc[-30:]\n",
- "ax = ukdd.deaths_m7.plot.line(figsize=(12, 8), color='red')\n",
- "# ukdd.deaths.plot.bar(ax=ax)\n",
- "ax.bar(ukdd.index, ukdd.deaths)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "ukdd"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "np.arange(0, 130, 20)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "data_by_date.loc['UK']"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "data_by_date.loc['UK'].plot(x='deaths_culm', y='deaths', logx=True, logy=True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "data_by_date.loc['UK'].plot(x='cases_culm', y='cases')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "ukdbd = data_by_date.loc['UK'].copy()\n",
- "ukdbd['deaths_m7'] = ukdbd.deaths.transform(lambda x: x.rolling(7, 1).mean())\n",
- "ukdbd['cases_m7'] = ukdbd.cases.transform(lambda x: x.rolling(7, 1).mean())\n",
- "ukdbd"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "ukdbd.plot(x='deaths_culm', y='deaths_m7', logx=True, logy=True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "fig, ax = plt.subplots(figsize=(12, 8))\n",
- "xmax = 10\n",
- "for c in COUNTRIES_CORE:\n",
- " if data_since_threshold.loc[(slice(None), c), 'deaths_culm'].max() > xmax:\n",
- " xmax = data_since_threshold.loc[(slice(None), c), 'deaths_culm'].max()\n",
- " data_since_threshold.loc[(slice(None), c), :].plot(x='deaths_culm', y='deaths_m7', logx=True, logy=True, xlim=(10, xmax * 1.1), label=c, ax=ax)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "data_since_threshold.loc[(slice(None), 'UK'), 'deaths_culm'].max()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "countries.continentExp.unique()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "countries.loc['KW']"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "data_by_date.groupby(level=0)['deaths'].shift(-25)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "offset_data = data_by_date.loc[:, ['cases']]\n",
- "offset_data['deaths'] = data_by_date.groupby(level=0)['deaths'].shift(-25)\n",
- "offset_data['cases_m7'] = offset_data.groupby(level=0)['cases'].transform(lambda x: x.rolling(7, 1).mean())\n",
- "offset_data['deaths_m7'] = offset_data['deaths'].dropna().groupby(level=0).transform(lambda x: x.rolling(7, 1).mean())\n",
- "offset_data['deaths_per_case'] = offset_data.deaths_m7 / offset_data.cases_m7\n",
- "offset_data"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "deaths_m7"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "offset_deaths_m7 = (offset_data.loc[COUNTRIES_ALL, ['deaths_m7']]\n",
- " .unstack().sort_index().xs('deaths_m7', axis=1, drop_level=True)).T.sort_index()\n",
- "offset_deaths_m7"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "offset_deaths_m7['UK']"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "data_since_threshold.loc[(slice(None), 'UK'), :].tail()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "countries.loc['PT']"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "ax = cases_by_date_m7.iloc[-50:][COUNTRIES_FRIENDS].plot(figsize=(15, 9), title=\"Cases per day, 7 day moving average\")#, ylim=(-10, 1500))\n",
- "# ax.set_xlabel(f\"Days since {DEATH_COUNT_THRESHOLD} deaths\")\n",
- "# uk_projection.deaths_m7.plot(ax=ax)\n",
- "for c in COUNTRIES_FRIENDS:\n",
- " lvi = cases_by_date_m7[c].last_valid_index()\n",
- " ax.text(x = lvi + pd.Timedelta(days=1), y = cases_by_date_m7[c][lvi], s = f\"{c}: {cases_by_date_m7[c][lvi]:.0f}\")\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "ax = deaths_by_date_m7.iloc[-50:][COUNTRIES_FRIENDS].plot(figsize=(15, 9), title=\"Deaths per day, 7 day moving average\")#, ylim=(-10, 100))\n",
- "# ax.set_xlabel(f\"Days since {DEATH_COUNT_THRESHOLD} deaths\")\n",
- "# uk_projection.deaths_m7.plot(ax=ax)\n",
- "for c in COUNTRIES_FRIENDS:\n",
- " lvi = deaths_by_date_m7[c].last_valid_index()\n",
- "# if c != 'ES':\n",
- " ax.text(x = lvi + pd.Timedelta(days=1), y = deaths_by_date_m7[c][lvi], s = f\"{c}: {deaths_by_date_m7[c][lvi]:.0f}\")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": []
- }
- ],
- "metadata": {
- "jupytext": {
- "formats": "ipynb,md"
- },
- "kernelspec": {
- "display_name": "Python 3",
- "language": "python",
- "name": "python3"
- },
- "language_info": {
- "codemirror_mode": {
- "name": "ipython",
- "version": 3
- },
- "file_extension": ".py",
- "mimetype": "text/x-python",
- "name": "python",
- "nbconvert_exporter": "python",
- "pygments_lexer": "ipython3",
- "version": "3.7.4"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
+++ /dev/null
----
-jupyter:
- jupytext:
- formats: ipynb,md
- text_representation:
- extension: .md
- format_name: markdown
- format_version: '1.2'
- jupytext_version: 1.3.4
- kernelspec:
- display_name: Python 3
- language: python
- name: python3
----
-
-<!-- #region Collapsed="false" -->
-Data from [European Centre for Disease Prevention and Control](https://www.ecdc.europa.eu/en/publications-data/download-todays-data-geographic-distribution-covid-19-cases-worldwide)
-<!-- #endregion -->
-
-```python Collapsed="false"
-import itertools
-import collections
-import json
-import pandas as pd
-import numpy as np
-from scipy.stats import gmean
-import datetime
-
-import matplotlib as mpl
-import matplotlib.pyplot as plt
-%matplotlib inline
-```
-
-```python Collapsed="false"
-DEATH_COUNT_THRESHOLD = 10
-COUNTRIES_CORE = 'IT DE UK ES IE FR BE'.split()
-COUNTRIES_NORDIC = 'SE NO DK FI UK'.split()
-COUNTRIES_FRIENDS = 'IT UK ES BE SI MX'.split()
-# COUNTRIES_FRIENDS = 'IT UK ES BE SI PT'.split()
-
-COUNTRIES_AMERICAS = ['AG', 'AR', 'AW', 'BS', 'BB', 'BZ', 'BM', 'BO', 'BR', 'VG', 'KY', # excluding Canada and USA
- 'CL', 'CO', 'CR', 'CU', 'CW', 'DM', 'DO', 'EC', 'SV', 'GL', 'GD', 'GT',
- 'GY', 'HT', 'HN', 'JM', 'MX', 'MS', 'NI', 'PA', 'PY', 'PE', 'PR', 'KN',
- 'LC', 'VC', 'SX', 'SR', 'TT', 'TC', 'VI', 'UY', 'VE']
-COUNTRIES_OF_INTEREST = list(set(COUNTRIES_CORE + COUNTRIES_FRIENDS))
-COUNTRIES_ALL = list(set(COUNTRIES_CORE + COUNTRIES_FRIENDS + COUNTRIES_NORDIC + COUNTRIES_AMERICAS))
-```
-
-```python Collapsed="false"
-!curl https://opendata.ecdc.europa.eu/covid19/casedistribution/csv/ > covid.csv
-```
-
-```python Collapsed="false"
-# First col is a date, treat geoId of NA as 'Namibia', not "NA" value
-raw_data = pd.read_csv('covid.csv',
- parse_dates=[0], dayfirst=True,
- keep_default_na=False, na_values = [''],
-# dtype = {'day': np.int64,
-# 'month': np.int64,
-# 'year': np.int64,
-# 'cases': np.int64,
-# 'deaths': np.int64,
-# 'countriesAndTerritories': str,
-# 'geoId': str,
-# 'countryterritoryCode': str,
-# 'popData2019': np.int64,
-# 'continentExp': str,
-# }
- )
-```
-
-```python Collapsed="false"
-raw_data.size
-```
-
-```python Collapsed="false"
-raw_data.fillna(0, inplace=True)
-```
-
-```python Collapsed="false"
-raw_data.head()
-```
-
-```python Collapsed="false"
-raw_data.dtypes
-```
-
-```python Collapsed="false"
-# raw_data = raw_data.astype({'dateRep': np.datetime64,
-# 'day': np.int64,
-# 'month': np.int64,
-# 'year': np.int64,
-# 'cases': np.int64,
-# 'deaths': np.int64,
-# 'countriesAndTerritories': str,
-# 'geoId': str,
-# 'countryterritoryCode': str,
-# 'popData2019': np.int64,
-# 'continentExp': str })
-raw_data = raw_data.astype({'dateRep': np.datetime64,
- 'day': np.int64,
- 'month': np.int64,
- 'year': np.int64,
- 'cases': np.int64,
- 'deaths': np.int64,
- 'countriesAndTerritories': str,
- 'geoId': str,
- 'countryterritoryCode': str,
- 'popData2019': np.int64,
- 'continentExp': str })
-```
-
-```python Collapsed="false"
-raw_data.dtypes
-```
-
-```python Collapsed="false"
-raw_data[((raw_data.geoId == 'UK') & (raw_data.dateRep >= '2020-07-10'))]
-```
-
-```python Collapsed="false"
-# raw_data = raw_data[~ ((raw_data.geoId == 'ES') & (raw_data.dateRep >= '2020-05-22'))]
-```
-
-```python Collapsed="false"
-base_data = raw_data.set_index(['geoId', 'dateRep'])
-base_data.sort_index(inplace=True)
-base_data
-```
-
-```python Collapsed="false"
-base_data.loc['ES'].loc['2020-05-10':]
-```
-
-```python Collapsed="false"
-countries = raw_data[['geoId', 'countriesAndTerritories', 'popData2019', 'continentExp']]
-countries = countries[countries['popData2019'] != '']
-countries = countries.drop_duplicates()
-countries.set_index('geoId', inplace=True)
-countries = countries.astype({'popData2019': 'int64'})
-countries.head()
-```
-
-```python Collapsed="false"
-countries.shape
-```
-
-```python Collapsed="false"
-countries[countries.countriesAndTerritories == 'Finland']
-```
-
-```python Collapsed="false"
-countries.loc[COUNTRIES_OF_INTEREST]
-```
-
-```python Collapsed="false"
-countries[countries.continentExp == 'America'].index
-```
-
-```python Collapsed="false"
-data_by_date = base_data[['cases', 'deaths']]
-data_by_date.head()
-```
-
-```python Collapsed="false"
-data_by_date.loc['UK']
-```
-
-```python Collapsed="false"
-# data_by_date.deaths.drop_duplicates().sort_values().to_csv('dth.csv', header=True)
-```
-
-```python Collapsed="false"
-data_by_date.groupby(level=0).cumsum()
-```
-
-```python Collapsed="false"
-data_by_date = data_by_date.merge(
- data_by_date.groupby(level=0).cumsum(),
- suffixes=('', '_culm'),
- left_index=True, right_index=True)
-data_by_date
-```
-
-```python Collapsed="false"
-data_by_date = data_by_date.merge(
- data_by_date[['cases', 'deaths']].groupby(level=0).diff(),
- suffixes=('', '_diff'),
- left_index=True, right_index=True)
-data_by_date
-```
-
-```python Collapsed="false"
-data_by_date.loc['UK', '2020-04-17']
-```
-
-```python Collapsed="false"
-data_by_date.loc['UK']
-```
-
-```python Collapsed="false"
-# data_by_date[data_by_date.deaths_culm > DEATH_COUNT_THRESHOLD]
-```
-
-```python Collapsed="false"
-# days_since_threshold = data_by_date[data_by_date.deaths_culm > DEATH_COUNT_THRESHOLD].groupby(level=0).cumcount()
-# days_since_threshold.rename('since_threshold', inplace=True)
-```
-
-```python Collapsed="false"
-dbd = data_by_date[data_by_date.deaths_culm > DEATH_COUNT_THRESHOLD].reset_index(level=1)
-dbd['since_threshold'] = dbd.dateRep
-dbd.set_index('dateRep', append=True, inplace=True)
-dbd.sort_index(inplace=True)
-days_since_threshold = dbd.groupby(level=0).diff().since_threshold.dt.days.fillna(0).astype(int).groupby(level=0).cumsum()
-# days_since_threshold.groupby(level=0).cumsum()
-
-# days_since_threshold = dbd.rename('since_threshold')
-days_since_threshold
-```
-
-```python Collapsed="false"
-# days_since_threshold = (data_by_date[data_by_date.deaths_culm > DEATH_COUNT_THRESHOLD]
-# .reset_index(level=1).groupby(level=0)
-# .diff().dateRep.dt.days
-# .groupby(level=0).cumcount()
-# )
-# days_since_threshold.rename('since_threshold', inplace=True)
-# days_since_threshold
-```
-
-```python Collapsed="false"
-data_since_threshold = data_by_date.merge(days_since_threshold,
- left_index=True, right_index=True)
-data_since_threshold
-```
-
-```python Collapsed="false"
-data_since_threshold = data_since_threshold.set_index('since_threshold', append=True
- ).reorder_levels(['since_threshold', 'geoId', 'dateRep']
- ).reset_index('dateRep')
-data_since_threshold.sort_index(inplace=True)
-data_since_threshold
-```
-
-```python Collapsed="false"
-data_since_threshold.loc[(slice(None), ['UK', 'DE', 'IT']), :]
-```
-
-```python Collapsed="false"
-data_since_threshold.loc[(slice(None), ['ES']), :].tail(8)
-```
-
-```python Collapsed="false"
-data_since_threshold.loc[(slice(None), ['UK', 'DE', 'IT']), ['deaths_culm']].unstack().plot(logy=True)
-```
-
-```python Collapsed="false"
-# deaths = data_since_threshold.loc[(slice(None), ['UK', 'DE', 'IT', 'IE']), ['deaths_culm']].unstack().xs('deaths_culm', axis=1, drop_level=True)
-```
-
-```python Collapsed="false"
-deaths = data_since_threshold.loc[(slice(None), COUNTRIES_ALL), ['deaths_culm']].unstack().sort_index().xs('deaths_culm', axis=1, drop_level=True)
-deaths_by_date = data_by_date.loc[COUNTRIES_ALL, ['deaths_culm']].unstack().sort_index().xs('deaths_culm', axis=1, drop_level=True).T
-```
-
-```python Collapsed="false"
-cases = data_since_threshold.loc[(slice(None), COUNTRIES_ALL), ['cases_culm']].unstack().sort_index().xs('cases_culm', axis=1, drop_level=True)
-cases_by_date = data_by_date.loc[ COUNTRIES_ALL, ['cases_culm']].unstack().sort_index().xs('cases_culm', axis=1, drop_level=True).T
-```
-
-```python Collapsed="false"
-COUNTRIES_AMERICAS_DEAD = list(set(deaths.columns) & set(COUNTRIES_AMERICAS))
-```
-
-```python Collapsed="false"
-data_since_threshold.reset_index().merge(countries, on='geoId').set_index(['since_threshold', 'geoId'])
-```
-
-```python Collapsed="false"
-data_since_threshold.reset_index().merge(countries, on='geoId').set_index(['since_threshold', 'geoId']).sort_index(inplace=True)
-```
-
-```python Collapsed="false"
-data_since_threshold_per_capita = data_since_threshold.reset_index().merge(countries, on='geoId').set_index(['since_threshold', 'geoId'])
-data_since_threshold_per_capita['cases_culm_pc'] = data_since_threshold_per_capita.cases_culm / data_since_threshold_per_capita.popData2019
-data_since_threshold_per_capita['deaths_culm_pc'] = data_since_threshold_per_capita.deaths_culm / data_since_threshold_per_capita.popData2019
-data_since_threshold_per_capita
-```
-
-```python Collapsed="false"
-deaths_pc = data_since_threshold_per_capita.loc[(slice(None), ['UK', 'DE', 'IT', 'IE']), ['deaths_culm_pc']].unstack().sort_index().xs('deaths_culm_pc', axis=1, drop_level=True)
-```
-
-```python Collapsed="false"
-deaths_pc.index
-```
-
-```python Collapsed="false"
-deaths_pc = data_since_threshold_per_capita.loc[(slice(None), COUNTRIES_ALL), ['deaths_culm_pc']].unstack().xs('deaths_culm_pc', axis=1, drop_level=True)
-```
-
-```python Collapsed="false"
-deaths[COUNTRIES_CORE].plot()
-```
-
-```python Collapsed="false"
-deaths[COUNTRIES_FRIENDS].plot()
-```
-
-```python Collapsed="false"
-ax = deaths[COUNTRIES_FRIENDS].plot(figsize=(10, 6), title="Total deaths, linear")
-ax.set_xlabel(f"Days since {DEATH_COUNT_THRESHOLD} deaths")
-for c in COUNTRIES_FRIENDS:
- lvi = deaths[c].last_valid_index()
- ax.text(x = lvi + 1, y = deaths[c][lvi], s = f"{c}: {deaths[c][lvi]:.0f}")
-# plt.savefig('covid_deaths_total_linear.png')
-```
-
-```python Collapsed="false"
-ax = deaths[COUNTRIES_CORE].plot(figsize=(10, 6), title="Total deaths, linear")
-ax.set_xlabel(f"Days since {DEATH_COUNT_THRESHOLD} deaths")
-for c in COUNTRIES_CORE:
- lvi = deaths[c].last_valid_index()
- ax.text(x = lvi + 1, y = deaths[c][lvi], s = f"{c}: {deaths[c][lvi]:.0f}")
-# plt.savefig('covid_deaths_total_linear.png')
-```
-
-```python Collapsed="false"
-ax = deaths_by_date.loc['2020-03-15':, COUNTRIES_CORE].plot(figsize=(10, 6), title="Total deaths, linear")
-# data_by_date.loc[COUNTRIES_CORE]
-# deaths_by_date = data_by_date.loc[COUNTRIES_ALL, ['deaths_culm']].unstack().sort_index().xs('deaths_culm', axis=1, drop_level=True)
-ax.set_xlabel(f"Date")
-for c in COUNTRIES_CORE:
- lvi = deaths_by_date[c].last_valid_index()
- ax.text(x = lvi + pd.Timedelta(days=1), y = deaths_by_date[c][lvi], s = f"{c}: {deaths_by_date[c][lvi]:.0f}")
-plt.savefig('covid_deaths_total_linear.png')
-```
-
-```python Collapsed="false"
-deaths_prime = deaths[COUNTRIES_CORE].copy()
-deaths_prime.loc[73:, 'ES'] = np.NaN
-# deaths_prime['ES'][70:]
-```
-
-```python Collapsed="false"
-ax = deaths_prime[COUNTRIES_CORE].plot(figsize=(10, 6), title="Total deaths, linear")
-for c in COUNTRIES_CORE:
- lvi = deaths_prime[c].last_valid_index()
- ax.text(x = lvi + 1, y = deaths_prime[c][lvi], s = f"{c}: {deaths_prime[c][lvi]:.0f}")
-# plt.savefig('covid_deaths_total_linear.png')
-```
-
-```python Collapsed="false"
-ax = cases[COUNTRIES_CORE].plot(figsize=(10, 6), title="Total cases, linear")
-for c in COUNTRIES_CORE:
- lvi = cases[c].last_valid_index()
- ax.text(x = lvi + 1, y = cases[c][lvi], s = c)
-plt.savefig('covid_cases_total_linear.png')
-```
-
-```python Collapsed="false"
-ax = deaths[COUNTRIES_AMERICAS_DEAD].plot(figsize=(10, 6), title="Total deaths, linear")
-for c in COUNTRIES_AMERICAS_DEAD:
- lvi = deaths[c].last_valid_index()
- ax.text(x = lvi + 1, y = deaths[c][lvi], s = c)
-# plt.savefig('covid_deaths_total_linear.png')
-```
-
-```python Collapsed="false"
-ax = deaths[COUNTRIES_CORE + ['BR', 'MX']].plot(figsize=(10, 6), title="Total deaths, linear")
-for c in COUNTRIES_CORE + ['BR', 'MX']:
- lvi = deaths[c].last_valid_index()
- ax.text(x = lvi + 1, y = deaths[c][lvi], s = c)
-# plt.savefig('covid_deaths_total_linear.png')
-```
-
-```python Collapsed="false"
-ax = deaths[COUNTRIES_NORDIC].plot(figsize=(10, 6), title="Total deaths, linear")
-for c in COUNTRIES_NORDIC:
- lvi = deaths[c].last_valid_index()
- ax.text(x = lvi + 1, y = deaths[c][lvi], s = c)
-# plt.savefig('covid_deaths_total_linear.png')
-```
-
-```python Collapsed="false"
-ax = deaths[COUNTRIES_OF_INTEREST].plot(figsize=(10, 6), title="Total deaths, linear")
-for c in COUNTRIES_OF_INTEREST:
- lvi = deaths[c].last_valid_index()
- ax.text(x = lvi + 1, y = deaths[c][lvi], s = c)
-plt.savefig('covid_deaths_total_linear_of_interest.png')
-```
-
-```python Collapsed="false"
-ax = deaths[COUNTRIES_CORE].plot(logy=True, figsize=(10, 6), title="Total deaths, log")
-for c in COUNTRIES_CORE:
- lvi = deaths[c].last_valid_index()
- ax.text(x = lvi + 1, y = deaths[c][lvi], s = c)
-
-plt.savefig('covid_deaths_total_log.png')
-```
-
-```python Collapsed="false"
-ylim = (5*10**3, 5*10**4)
-ax = deaths[COUNTRIES_CORE].plot(logy=True, figsize=(10, 6), ylim=ylim, title="Total deaths, log")
-for c in COUNTRIES_CORE:
- lvi = deaths[c].last_valid_index()
- if ylim[0] < deaths[c][lvi] < ylim[1]:
- ax.text(x = lvi + 1, y = deaths[c][lvi], s = c)
-
-# plt.savefig('covid_deaths_total_log.png')
-```
-
-```python Collapsed="false"
-ax = deaths[COUNTRIES_FRIENDS].plot(logy=True, figsize=(10, 6), title="Total deaths, log")
-for c in COUNTRIES_FRIENDS:
- lvi = deaths[c].last_valid_index()
- ax.text(x = lvi + 1, y = deaths[c][lvi], s = c)
-
-# plt.savefig('covid_deaths_total_log.png')
-```
-
-```python Collapsed="false"
-ax = deaths[COUNTRIES_NORDIC].plot(logy=True, figsize=(10, 6), title="Total deaths, log")
-for c in COUNTRIES_NORDIC:
- lvi = deaths[c].last_valid_index()
- ax.text(x = lvi + 1, y = deaths[c][lvi], s = c)
-
-# plt.savefig('covid_deaths_total_log.png')
-```
-
-```python Collapsed="false"
-ax = deaths[COUNTRIES_OF_INTEREST].plot(logy=True, figsize=(10, 6), title="Total deaths, log")
-for c in COUNTRIES_OF_INTEREST:
- lvi = deaths[c].last_valid_index()
- ax.text(x = lvi + 1, y = deaths[c][lvi], s = c)
-
-plt.savefig('covid_deaths_total_log.png')
-```
-
-```python Collapsed="false"
-ax = deaths_pc.plot(figsize=(10, 6), title="Deaths per capita, linear")
-for c in deaths_pc.columns:
- lvi = deaths_pc[c].last_valid_index()
- ax.text(x = lvi + 1, y = deaths_pc[c][lvi], s = c)
-plt.savefig('covid_deaths_per_capita_linear.png')
-```
-
-```python Collapsed="false"
-ax = deaths_pc.plot(logy=True, figsize=(10, 6), title="Deaths per capita, log")
-for c in deaths_pc.columns:
- lvi = deaths_pc[c].last_valid_index()
- ax.text(x = lvi + 1, y = deaths_pc[c][lvi], s = c)
-```
-
-```python Collapsed="false"
-deaths_pc[['UK', 'IE']].plot( figsize=(10, 6), title="Deaths per capita, linear")
-```
-
-```python Collapsed="false"
-deaths_pc[['UK', 'IE']].plot(logy=True, figsize=(10, 6), title="Deaths per capita, log")
-```
-
-```python Collapsed="false"
-deaths[['UK', 'ES', 'IT']].plot(logy=True, figsize=(10, 6), title="Deaths, log")
-plt.savefig('covid_deaths_selected_log.png')
-```
-
-```python Collapsed="false"
-deaths[['UK', 'ES', 'IT', 'MX']].plot(logy=True, figsize=(10, 6), title="Deaths, log")
-```
-
-```python Collapsed="false"
-data_since_threshold.loc[(slice(None), ['UK', 'DE', 'IT']), :]
-```
-
-```python Collapsed="false"
-data_since_threshold['deaths_m4'] = data_since_threshold.groupby(level=1)['deaths'].transform(lambda x: x.rolling(4, 1).mean())
-data_since_threshold['deaths_m7'] = data_since_threshold.groupby(level=1)['deaths'].transform(lambda x: x.rolling(7, 1).mean())
-data_since_threshold['cases_m7'] = data_since_threshold.groupby(level=1)['cases'].transform(lambda x: x.rolling(7, 1).mean())
-# data_since_threshold['deaths_diff_m4'] = data_since_threshold.groupby(level=1)['deaths_diff'].transform(lambda x: x.rolling(4, 1).mean())
-# data_since_threshold['deaths_diff_m7'] = data_since_threshold.groupby(level=1)['deaths_diff'].transform(lambda x: x.rolling(7, 1).mean())
-data_since_threshold.loc[(slice(None), ['UK', 'DE', 'IT']), :]
-```
-
-```python Collapsed="false"
-deaths_m4 = (data_since_threshold.loc[(slice(None), COUNTRIES_ALL), ['deaths_m4']]
- .unstack().sort_index().xs('deaths_m4', axis=1, drop_level=True))
-```
-
-```python Collapsed="false"
-deaths_m7 = (data_since_threshold.loc[(slice(None), COUNTRIES_ALL), ['deaths_m7']]
- .unstack().sort_index().xs('deaths_m7', axis=1, drop_level=True))
-```
-
-```python Collapsed="false"
-cases_m7 = (data_since_threshold.loc[(slice(None), COUNTRIES_ALL), ['cases_m7']]
- .unstack().sort_index().xs('cases_m7', axis=1, drop_level=True))
-```
-
-```python Collapsed="false"
-data_by_date['cases_m7'] = data_by_date.groupby(level=0)['cases'].transform(lambda x: x.rolling(7, 1).mean())
-data_by_date['deaths_m7'] = data_by_date.groupby(level=0)['deaths'].transform(lambda x: x.rolling(7, 1).mean())
-data_by_date
-```
-
-```python Collapsed="false"
-data_by_date.loc[('UK', '2020-07-15'):'UK', 'cases'].plot()
-```
-
-```python Collapsed="false"
-cases_by_date_m7 = data_by_date.loc[COUNTRIES_ALL, 'cases_m7'].unstack(level=0).sort_index()
-cases_by_date_m7[COUNTRIES_CORE].plot()
-```
-
-```python Collapsed="false"
-deaths_by_date_m7 = data_by_date.loc[COUNTRIES_ALL, 'deaths_m7'].unstack(level=0).sort_index()
-deaths_by_date_m7[COUNTRIES_CORE].plot()
-```
-
-```python Collapsed="false"
-ax = deaths_m4.plot(figsize=(10, 6), title="Deaths per day, 4 day moving average")
-for c in deaths_m4.columns:
- lvi = deaths_m4[c].last_valid_index()
- ax.text(x = lvi + 1, y = deaths_m4[c][lvi], s = c)
-plt.savefig('covid_deaths_per_day.png')
-```
-
-```python Collapsed="false"
-ax = deaths_m4[COUNTRIES_CORE].plot(figsize=(10, 6), title="Deaths per day, 4 day moving average")
-for c in COUNTRIES_CORE:
- lvi = deaths_m4[c].last_valid_index()
- ax.text(x = lvi + 1, y = deaths_m4[c][lvi], s = c)
-plt.savefig('covid_deaths_per_day-core.png')
-```
-
-```python Collapsed="false"
-ax = deaths_m4[COUNTRIES_FRIENDS].plot(figsize=(10, 6), title="Deaths per day, 4 day moving average")
-for c in COUNTRIES_FRIENDS:
- lvi = deaths_m4[c].last_valid_index()
- ax.text(x = lvi + 1, y = deaths_m4[c][lvi], s = c)
-# plt.savefig('covid_deaths_per_day-friends.png')
-```
-
-```python Collapsed="false"
-C7s = 'ES FR IT UK'.split()
-ax = deaths_m7[C7s].plot(figsize=(10, 6), title="Deaths per day, 7 day moving average")
-for c in C7s:
- lvi = deaths_m7[c].last_valid_index()
- ax.text(x = lvi + 1, y = deaths_m7[c][lvi], s = c)
-# plt.savefig('covid_deaths_per_day-friends.png')
-```
-
-```python Collapsed="false"
-ax = deaths_m7[COUNTRIES_CORE].plot(figsize=(10, 6), title="Deaths per day, 7 day moving average")
-ax.set_xlabel(f"Days since {DEATH_COUNT_THRESHOLD} deaths")
-for c in COUNTRIES_CORE:
- lvi = deaths_m7[c].last_valid_index()
- ax.text(x = lvi + 1, y = deaths_m7[c][lvi], s = c)
-# plt.axhline(0, color='0.7')
-plt.savefig('covid_deaths_per_day_7.png')
-```
-
-```python Collapsed="false"
-ax = deaths_m7[COUNTRIES_FRIENDS].plot(figsize=(10, 6), title="Deaths per day, 7 day moving average")
-ax.set_xlabel(f"Days since {DEATH_COUNT_THRESHOLD} deaths")
-for c in COUNTRIES_FRIENDS:
- lvi = deaths_m7[c].last_valid_index()
- ax.text(x = lvi + 1, y = deaths_m7[c][lvi], s = c)
-# plt.axhline(0, color='0.7')
-plt.savefig('covid_deaths_per_day-friends.png')
-```
-
-```python Collapsed="false"
-deaths_m7_prime = deaths_m7[COUNTRIES_CORE].copy()
-deaths_m7_prime.loc[73:, 'ES'] = np.NaN
-deaths_m7_prime['ES'][70:]
-```
-
-```python Collapsed="false"
-ax = deaths_m7_prime[COUNTRIES_CORE].plot(figsize=(10, 6), title="Deaths per day, 7 day moving average")
-for c in COUNTRIES_CORE:
- lvi = deaths_m7_prime[c].last_valid_index()
- ax.text(x = lvi + 1, y = deaths_m7_prime[c][lvi], s = c)
-plt.savefig('covid_deaths_per_day_7.png') # see below for where this is written, with the projection
-```
-
-```python Collapsed="false"
-ax = deaths_by_date_m7.loc['2020-03-01':, COUNTRIES_CORE].plot(figsize=(10, 6), title="Deaths per day, 7 day moving average")
-ax.set_xlabel('Date')
-for c in COUNTRIES_CORE:
- lvi = deaths_by_date_m7[c].last_valid_index()
- ax.text(x = lvi + pd.Timedelta(days=1), y = deaths_by_date_m7[c][lvi], s = c)
-plt.savefig('covid_deaths_per_day_7.png')
-```
-
-```python Collapsed="false"
-ax = deaths_m7[COUNTRIES_FRIENDS].plot(figsize=(10, 6), title="Deaths per day, 7 day moving average")
-for c in COUNTRIES_FRIENDS:
- lvi = deaths_m7[c].last_valid_index()
- ax.text(x = lvi + 1, y = deaths_m7[c][lvi], s = c)
-plt.savefig('covid_deaths_per_day_friends_7.png')
-```
-
-```python Collapsed="false"
-ax = deaths_m7[COUNTRIES_CORE + ['BR', 'MX']].plot(figsize=(10, 6), title="Deaths per day, 7 day moving average")
-for c in COUNTRIES_CORE + ['BR', 'MX']:
- lvi = deaths_m7[c].last_valid_index()
- ax.text(x = lvi + 1, y = deaths_m7[c][lvi], s = c)
-# plt.savefig('covid_deaths_per_day_7.png')
-```
-
-```python Collapsed="false"
-ax = deaths_by_date_m7.iloc[-30:][COUNTRIES_CORE].plot(figsize=(10, 6), title="Deaths per day, 7 day moving average")#, ylim=(-10, 100))
-ax.set_xlabel("Date")
-
-text_x_pos = deaths_by_date_m7.last_valid_index() + pd.Timedelta(days=1)
-
-for c in COUNTRIES_CORE:
- lvi = deaths_by_date_m7[c].last_valid_index()
-# if c != 'ES':
- ax.text(x = text_x_pos, y = deaths_by_date_m7[c][lvi], s = f"{c}: {deaths_by_date_m7[c][lvi]:.0f}")
-plt.savefig('deaths_by_date_last_30_days.png')
-```
-
-```python Collapsed="false"
-ax = deaths_by_date_m7.iloc[-30:][COUNTRIES_FRIENDS].plot(figsize=(10, 6), title="Deaths per day, 7 day moving average")#, ylim=(-10, 100))
-ax.set_xlabel("Date")
-
-text_x_pos = deaths_by_date_m7.last_valid_index() + pd.Timedelta(days=1)
-
-for c in COUNTRIES_FRIENDS:
- lvi = deaths_by_date_m7[c].last_valid_index()
-# if c != 'ES':
- ax.text(x = text_x_pos, y = deaths_by_date_m7[c][lvi], s = f"{c}: {deaths_by_date_m7[c][lvi]:.0f}")
-plt.savefig('deaths_by_date_last_30_days_friends.png')
-```
-
-```python Collapsed="false"
-ax = cases_m7[COUNTRIES_CORE].plot(figsize=(10, 6), title="Cases per day, 7 day moving average")
-for c in COUNTRIES_CORE:
- lvi = cases_m7[c].last_valid_index()
- ax.text(x = lvi + 1, y = cases_m7[c][lvi], s = c)
-plt.savefig('covid_cases_per_day-core.png')
-```
-
-```python Collapsed="false"
-ax = cases_m7[COUNTRIES_FRIENDS].plot(figsize=(10, 6), title="Cases per day, 7 day moving average")
-for c in COUNTRIES_FRIENDS:
- lvi = cases_m7[c].last_valid_index()
- ax.text(x = lvi + 1, y = cases_m7[c][lvi], s = c)
-plt.savefig('covid_cases_per_day-core.png')
-```
-
-```python Collapsed="false"
-ax = cases_by_date_m7.iloc[-30:][COUNTRIES_FRIENDS].plot(figsize=(10, 6), title="Cases per day, 7 day moving average")#, ylim=(-10, 100))
-ax.set_xlabel("Date")
-
-text_x_pos = cases_by_date_m7.last_valid_index() + pd.Timedelta(days=1)
-
-for c in COUNTRIES_FRIENDS:
- lvi = cases_by_date_m7[c].last_valid_index()
-# if c != 'ES':
- ax.text(x = text_x_pos, y = cases_by_date_m7[c][lvi], s = f"{c}: {cases_by_date_m7[c][lvi]:.0f}")
-plt.savefig('cases_by_date_last_30_days_friends.png')
-```
-
-```python Collapsed="false"
-def gmean_scale(items):
- return gmean(items) / items[-1]
-```
-
-```python Collapsed="false"
-def doubling_time(df):
- return np.log(2) / np.log((df.deaths_culm + df.deaths_g4) / df.deaths_culm)
-
-def doubling_time_7(df):
- return np.log(2) / np.log((df.deaths_culm + df.deaths_g7) / df.deaths_culm)
-```
-
-```python Collapsed="false"
-# data_since_threshold['deaths_g4'] = data_since_threshold.groupby(level=1)['deaths'].transform(lambda x: x.rolling(4, 1).apply(gmean_scale, raw=True))
-# data_since_threshold.loc[(slice(None), ['UK', 'DE', 'IT']), :]
-```
-
-```python Collapsed="false"
-data_since_threshold['deaths_g4'] = data_since_threshold.groupby(level=1)['deaths'].transform(lambda x: x.rolling(4, 1).apply(gmean, raw=True))
-data_since_threshold['deaths_g7'] = data_since_threshold.groupby(level=1)['deaths'].transform(lambda x: x.rolling(7, 1).apply(gmean, raw=True))
-data_since_threshold.loc[(slice(None), ['UK', 'DE', 'IT']), :]
-```
-
-```python Collapsed="false"
-data_since_threshold['doubling_time'] = data_since_threshold.groupby(level=1).apply(doubling_time).reset_index(level=0, drop=True).sort_index()
-data_since_threshold['doubling_time_7'] = data_since_threshold.groupby(level=1).apply(doubling_time_7).reset_index(level=0, drop=True).sort_index()
-# data_since_threshold.loc[(slice(None), 'UK'), :]
-```
-
-```python Collapsed="false"
-data_by_date['deaths_g4'] = data_by_date.groupby(level=0)['deaths'].transform(lambda x: x.rolling(4, 1).apply(gmean, raw=True))
-data_by_date['deaths_g7'] = data_by_date.groupby(level=0)['deaths'].transform(lambda x: x.rolling(7, 1).apply(gmean, raw=True))
-data_by_date['doubling_time'] = data_by_date.groupby(level=0).apply(doubling_time).reset_index(level=0, drop=True).sort_index()
-data_by_date['doubling_time_7'] = data_by_date.groupby(level=0).apply(doubling_time_7).reset_index(level=0, drop=True).sort_index()
-data_by_date.loc['UK']
-```
-
-```python Collapsed="false"
-doubling_times = (data_since_threshold.loc[(slice(None), COUNTRIES_OF_INTEREST), ['doubling_time']]
- .unstack().sort_index().xs('doubling_time', axis=1, drop_level=True))
-doubling_times.replace([np.inf, -np.inf], np.nan, inplace=True)
-```
-
-```python Collapsed="false"
-doubling_times_7 = (data_since_threshold.loc[(slice(None), COUNTRIES_OF_INTEREST), ['doubling_time_7']]
- .unstack().sort_index().xs('doubling_time_7', axis=1, drop_level=True))
-doubling_times_7.replace([np.inf, -np.inf], np.nan, inplace=True)
-```
-
-```python Collapsed="false"
-ax = doubling_times.plot(figsize=(10, 6), title="Doubling times, 4 day average")
-for c in doubling_times.columns:
- lvi = doubling_times[c].last_valid_index()
- ax.text(x = lvi + 1, y = doubling_times[c][lvi], s = c)
-# plt.savefig('covid_deaths_per_day.png')
-```
-
-```python Collapsed="false"
-ax = doubling_times_7[COUNTRIES_CORE].plot(figsize=(10, 6), title="Doubling times, 7 day average")
-ax.legend(loc="upper left")
-for c in COUNTRIES_CORE:
- lvi = doubling_times_7[c].last_valid_index()
- ax.text(x = lvi + 1, y = doubling_times_7[c][lvi], s = c)
-plt.savefig('covid_doubling_times_7.png')
-```
-
-```python Collapsed="false"
-ax = doubling_times[COUNTRIES_CORE].plot(figsize=(10, 6), title="Doubling times, 4 day average")
-for c in COUNTRIES_CORE:
- lvi = doubling_times[c].last_valid_index()
- ax.text(x = lvi + 1, y = doubling_times[c][lvi], s = c)
-plt.savefig('covid_doubling_times.png')
-```
-
-```python Collapsed="false"
-ax = doubling_times[COUNTRIES_FRIENDS].plot(figsize=(10, 6), title="Doubling times")
-for c in COUNTRIES_FRIENDS:
- lvi = doubling_times[c].last_valid_index()
- ax.text(x = lvi + 1, y = doubling_times[c][lvi], s = c)
-plt.savefig('covid_doubling_times_friends.png')
-```
-
-```python Collapsed="false"
-ax = doubling_times[C7s].plot(figsize=(10, 6), title="Doubling times")
-for c in C7s:
- lvi = doubling_times[c].last_valid_index()
- ax.text(x = lvi + 1, y = doubling_times[c][lvi], s = c)
-# plt.savefig('covid_doubling_times_friends.png')
-```
-
-```python Collapsed="false"
-# deaths_diff_m4 = (data_since_threshold.loc[(slice(None), COUNTRIES_ALL), ['deaths_diff_m4']]
-# .unstack().sort_index().xs('deaths_diff_m4', axis=1, drop_level=True))
-```
-
-```python Collapsed="false"
-# deaths_diff_m7 = (data_since_threshold.loc[(slice(None), COUNTRIES_ALL), ['deaths_diff_m7']]
-# .unstack().sort_index().xs('deaths_diff_m7', axis=1, drop_level=True))
-```
-
-```python Collapsed="false"
-# deaths_diff_m7
-```
-
-```python Collapsed="false"
-# data_since_threshold.replace([np.inf, -np.inf], np.nan).groupby(level=1).last().loc[COUNTRIES_ALL]#, [doubling_time]]
-```
-
-```python Collapsed="false"
-dstl = data_since_threshold.replace([np.inf, -np.inf], np.nan).groupby(level=1).last()
-dstl.loc[dstl.index.intersection(COUNTRIES_ALL)]
-```
-
-```python Collapsed="false"
-# data_since_threshold.replace([np.inf, -np.inf], np.nan).groupby(level=1).last().loc[['UK', 'DE', 'IT']]#, [doubling_time]]
-dstl.loc[['UK', 'DE', 'IT', 'FR', 'ES']]
-```
-
-```python Collapsed="false"
-data_since_threshold.loc[(slice(None), ['UK']), :].tail(20)
-```
-
-```python Collapsed="false"
-data_since_threshold.loc[(slice(None), ['ES']), :].tail(20)
-```
-
-<!-- #region Collapsed="false" -->
-## Death projections
-<!-- #endregion -->
-
-```python Collapsed="false"
-data_since_threshold.loc[(slice(None), ['UK']), :].tail(15)
-```
-
-```python Collapsed="false"
-it_since_threshold = data_since_threshold.replace([np.inf, -np.inf], np.nan).loc[(slice(None), ['IT']), :]
-s_end = it_since_threshold.index.max()[0]
-s_end
-```
-
-```python Collapsed="false"
-uk_projection = data_since_threshold.replace([np.inf, -np.inf], np.nan).loc[(slice(None), ['UK']), :]
-uk_current_end = uk_projection.index.max()[0] + 1
-# s_start = uk_projection.index.max()[0] + 1
-uk_current_end
-```
-
-```python Collapsed="false"
-current_uk_deaths_m7 = uk_projection[uk_projection.deaths_m7 >= 0].iloc[-1].deaths_m7
-current_uk_deaths_m7
-```
-
-```python Collapsed="false"
-it_since_threshold[it_since_threshold.deaths_m7 <= current_uk_deaths_m7].loc[60:].first_valid_index()[0]
-```
-
-```python Collapsed="false"
-s_start = it_since_threshold[it_since_threshold.deaths_m7 <= current_uk_deaths_m7].loc[60:].first_valid_index()[0]
-s_start
-```
-
-```python Collapsed="false"
-s_start_date = data_since_threshold.loc[(89, 'IT'), 'dateRep']# .iloc[0]
-s_start_date
-```
-
-```python Collapsed="false"
-s_end - s_start
-```
-
-```python Collapsed="false"
-uk_end = s_end - s_start + uk_current_end
-uk_end
-```
-
-```python Collapsed="false"
-proj = it_since_threshold.loc[(slice(s_start, s_end), slice(None)), ['cases', 'deaths', 'deaths_m7']]
-ndiff = uk_current_end - s_start
-proj.index = pd.MultiIndex.from_tuples([(n + ndiff, 'UK') for n, _ in proj.index], names=proj.index.names)
-proj
-```
-
-```python Collapsed="false"
-it_since_threshold.loc[(slice(s_start - 8, s_start + 2), slice(None)), ['cases', 'deaths', 'deaths_m7']]
-```
-
-```python Collapsed="false"
-uk_projection[['cases', 'deaths', 'deaths_m7']].tail()
-```
-
-```python Collapsed="false"
-# proj['deaths_m7'] = proj['deaths_m7'] + 20
-# proj
-```
-
-<!-- #region Collapsed="false" -->
-Projected deaths, UK following IT trend from now.
-<!-- #endregion -->
-
-```python Collapsed="false"
-uk_projection = uk_projection.append(proj, sort=True)
-uk_projection.deaths.sum()
-```
-
-```python Collapsed="false"
-uk_projection = uk_projection.droplevel(1)
-uk_projection
-```
-
-```python Collapsed="false"
-uk_projection.loc[152, 'deaths']
-```
-
-<!-- #region Collapsed="false" -->
-## Correction for cumulative deaths correction on 14 August
-<!-- #endregion -->
-
-```python Collapsed="false"
-# uk_projection.loc[152, 'deaths'] = 50
-```
-
-```python Collapsed="false"
-uk_projection['deaths_m7'] = uk_projection['deaths'].transform(lambda x: x.rolling(7, 1).mean())
-uk_projection.loc[(uk_current_end - 20):(uk_current_end + 5)]
-```
-
-```python Collapsed="false"
-uk_projection.loc[(uk_current_end - 5):]
-```
-
-```python Collapsed="false"
-uk_projection.deaths_m7.plot()
-```
-
-```python Collapsed="false"
-proj.droplevel(level=1)
-```
-
-```python Collapsed="false"
-ax = deaths_m7[COUNTRIES_CORE].plot()
-# uk_projection['deaths_m7'].plot(figsize=(10, 6), title="Deaths per day, 7 day moving average", label="Projection", style='--', ax=ax)
-proj.droplevel(level=1)['deaths_m7'].plot(figsize=(10, 6), title="Deaths per day, 7 day moving average", label="Projection", style='--', ax=ax)
-ax.set_xlabel(f"Days since {DEATH_COUNT_THRESHOLD} deaths")
-for c in COUNTRIES_CORE:
- lvi = deaths_m7[c].last_valid_index()
- ax.text(x = lvi + 1, y = deaths_m7[c][lvi], s = c)
-# plt.savefig('covid_deaths_per_day_7.png')
-```
-
-```python Collapsed="false"
-it_since_threshold.deaths.sum()
-```
-
-<!-- #region Collapsed="false" -->
-# Excess deaths calculation
-<!-- #endregion -->
-
-```python Collapsed="false"
-with open('excess_deaths.json') as f:
- excess_deaths_data = json.load(f)
-
-# with open('excess_death_accuracy.json') as f:
-# excess_death_accuracy = json.load(f)
-
-excess_deaths_data
-```
-
-```python Collapsed="false"
-additional_deaths = data_by_date.loc[('UK', excess_deaths_data['end_date']):('UK')].iloc[1:].deaths.sum()
-additional_deaths
-```
-
-```python Collapsed="false"
-uk_covid_deaths = data_by_date.loc['UK'].deaths.sum()
-uk_covid_deaths
-```
-
-```python Collapsed="false"
-uk_deaths_to_date = int(excess_deaths_data['excess_deaths']) + additional_deaths
-uk_deaths_to_date
-```
-
-```python Collapsed="false"
-# excess_deaths_upto = '2020-05-08'
-# excess_deaths = 54500
-```
-
-```python Collapsed="false"
-# excess_deaths_upto = excess_deaths_data['end_date']
-# excess_deaths = excess_deaths_data['excess_deaths']
-```
-
-<!-- #region Collapsed="false" -->
-Recorded deaths in period where ONS has reported total deaths
-<!-- #endregion -->
-
-```python Collapsed="false"
-# ons_reported_deaths = base_data.loc['UK'][:excess_deaths_upto]['deaths'].sum()
-# ons_reported_deaths
-```
-
-```python Collapsed="false"
-# excess_deaths_upto
-```
-
-<!-- #region Collapsed="false" -->
-## Correction for deaths total correction on 14 August
-<!-- #endregion -->
-
-```python Collapsed="false"
-# ons_unreported_deaths_data = base_data.loc['UK'][excess_deaths_upto:].iloc[1:]['deaths']
-# ons_unreported_deaths_data['2020-08-14'] = 50
-```
-
-```python Collapsed="false"
-# ons_unreported_deaths = ons_unreported_deaths_data.sum()
-# ons_unreported_deaths
-```
-
-```python Collapsed="false"
-# scaled_ons_unreported_deaths = ons_unreported_deaths * excess_death_accuracy
-# scaled_ons_unreported_deaths
-```
-
-```python Collapsed="false"
-# uk_deaths_to_date = excess_deaths + scaled_ons_unreported_deaths
-# uk_deaths_to_date
-```
-
-```python Collapsed="false"
-# data_since_threshold.loc[(slice(None), 'UK'), :][data_since_threshold.dateRep == excess_deaths_data['end_date']]
-```
-
-```python Collapsed="false"
-# data_since_threshold[data_since_threshold.dateRep == excess_deaths_data['end_date']].loc[(slice(None), 'UK'), :]
-```
-
-```python Collapsed="false"
-# ons_unreported_start = data_since_threshold[data_since_threshold.dateRep == excess_deaths_data['end_date']].loc[(slice(None), 'UK'), :].first_valid_index()[0] + 1
-# ons_unreported_start
-```
-
-```python Collapsed="false"
-# unreported_projected_deaths = uk_projection.loc[ons_unreported_start:].deaths.sum()
-# unreported_projected_deaths
-```
-
-```python Collapsed="false"
-# unreported_projected_deaths_scaled = unreported_projected_deaths * excess_death_accuracy
-# unreported_projected_deaths_scaled
-```
-
-```python Collapsed="false"
-# uk_projection.loc[(s_start):].deaths.sum()
-```
-
-```python Collapsed="false"
-# deaths_actual_projected_scaled = uk_deaths_to_date + uk_projection.loc[(s_start):].deaths.sum() * excess_death_accuracy
-# deaths_actual_projected_scaled
-```
-
-```python Collapsed="false"
-# excess_deaths / reported_deaths
-```
-
-<!-- #region Collapsed="false" -->
-True deaths to date, if we follow the scaling of excess deaths over reported deaths so far.
-<!-- #endregion -->
-
-```python Collapsed="false"
-# uk_covid_deaths = data_since_threshold.replace([np.inf, -np.inf], np.nan).loc[(slice(None), ['UK']), 'deaths_culm'].iloc[-1]
-# uk_covid_deaths
-```
-
-```python Collapsed="false"
-# uk_covid_deaths_scaled = excess_deaths + unreported_deaths * excess_death_accuracy
-# uk_covid_deaths_scaled
-```
-
-```python Collapsed="false"
-# data_since_threshold.replace([np.inf, -np.inf], np.nan).loc[(slice(None), ['IT']), 'dateRep'].iloc[-1] + pd.Timedelta(s_end - s_start, unit='days')
-```
-
-```python Collapsed="false"
-# data_since_threshold.replace([np.inf, -np.inf], np.nan).loc[(slice(None), ['UK']), 'dateRep'].iloc[-1].strftime("%Y-%m-%d")
-```
-
-```python Collapsed="false"
-# uk_covid_deaths * excess_deaths / reported_deaths
-```
-
-```python Collapsed="false"
-# uk_projection.deaths.sum() * excess_deaths / reported_deaths
-```
-
-```python Collapsed="false"
-# data_since_threshold.loc[(slice(None), 'FR'), :]
-# data_since_threshold[data_since_threshold.dateRep == '2020-05-18'].loc[(slice(None), 'FR'), :]
-```
-
-<!-- #region Collapsed="false" -->
-## School reopenings
-<!-- #endregion -->
-
-```python Collapsed="false"
-school_reopenings = {
- 'ES': {'date': '2020-05-18'},
- 'FR': {'date': '2020-05-18'}, # some areas only
-# 'IT': {'date': '2020-09-01'},
- # 'IE': {'date': '2020-09-01'},
- 'DE': {'date': '2020-05-04'},
- 'UK': {'date': '2020-06-01'}
-}
-```
-
-```python Collapsed="false"
-data_since_threshold[data_since_threshold.dateRep == '2020-05-04'].loc[(slice(None), ['DE']), :].first_valid_index()
-```
-
-```python Collapsed="false"
-data_since_threshold[data_since_threshold.dateRep == '2020-05-04'].loc[(slice(None), ['DE']), :].iloc[0].deaths_m7
-```
-
-```python Collapsed="false"
-for cID in school_reopenings:
- dst_in = data_since_threshold[data_since_threshold.dateRep == (school_reopenings[cID]['date'])].loc[(slice(None), [cID]), :]
- dst_i = dst_in.first_valid_index()
- dst_n = dst_in.iloc[0].deaths_m7
- school_reopenings[cID]['since_threshold'] = dst_i[0]
- school_reopenings[cID]['deaths_m7'] = dst_n
-school_reopenings
-```
-
-```python Collapsed="false"
-ax = deaths_m7[COUNTRIES_CORE].plot(figsize=(15, 9), title="Deaths per day, 7 day moving average")
-# uk_projection.deaths_m7.plot(ax=ax)
-for c in COUNTRIES_CORE:
- lvi = deaths_m7[c].last_valid_index()
- ax.text(x = lvi + 1, y = deaths_m7[c][lvi], s = f"{c}: {deaths_m7[c][lvi]:.0f}")
- if c in school_reopenings:
- marker_col = [l for l in ax.lines if l.get_label() == c][0].get_color()
- ax.plot(school_reopenings[c]['since_threshold'], school_reopenings[c]['deaths_m7'], '*',
- markersize=18, markerfacecolor=marker_col, markeredgecolor=marker_col)
- ax.text(x = school_reopenings[c]['since_threshold'] + 1, y = school_reopenings[c]['deaths_m7'],
- s = f"{school_reopenings[c]['date']}: {school_reopenings[c]['deaths_m7']:.0f}")
-plt.savefig('school_reopenings.png')
-```
-
-```python Collapsed="false"
-# ax = deaths_m7[COUNTRIES_CORE].plot(figsize=(15, 9), title="Deaths per day, 7 day moving average",
-# xlim=(46, 91), ylim=(0, 400))
-# # uk_projection.deaths_m7.plot(ax=ax)
-# for c in COUNTRIES_CORE:
-# lvi = deaths_m7[c].last_valid_index()
-# ax.text(x = lvi + 1, y = deaths_m7[c][lvi], s = f"{c}: {deaths_m7[c][lvi]:.0f}", fontsize=14)
-# if c in school_reopenings:
-# marker_col = [l for l in ax.lines if l.get_label() == c][0].get_color()
-# ax.plot(school_reopenings[c]['since_threshold'], school_reopenings[c]['deaths_m7'], '*',
-# markersize=18, markerfacecolor=marker_col, markeredgecolor=marker_col)
-# ax.text(x = school_reopenings[c]['since_threshold'] + 1, y = school_reopenings[c]['deaths_m7'],
-# s = f"{school_reopenings[c]['date']}: {school_reopenings[c]['deaths_m7']:.0f}",
-# fontsize=14)
-# plt.savefig('school_reopenings_detail.png')
-```
-
-<!-- #region Collapsed="false" -->
-# Lockdown graphs
-<!-- #endregion -->
-
-```python Collapsed="false"
-lockdown_dates = {
- 'ES': { 'part_start': {'date': '2020-03-14'}
- , 'full_start': {'date': '2020-03-15'}
- , 'part_finish': {'date': '2020-05-18'}
- },
- 'FR': { 'part_start': {'date': '2020-03-13'}
- , 'full_start': {'date': '2020-03-17'}
- , 'part_finish': {'date': '2020-05-11'}
- },
- 'IT': { 'part_start': {'date': '2020-03-08'}
- , 'full_start': {'date': '2020-03-10'}
- , 'part_finish': {'date': '2020-05-04'}
- },
- 'DE': { #'part_start': {'date': '2020-03-13'}
- 'full_start': {'date': '2020-03-22'}
- , 'part_finish': {'date': '2020-05-06'}
- },
- 'UK': { 'part_start': {'date': '2020-03-23'}
- , 'full_start': {'date': '2020-03-23'}
- , 'part_finish': {'date': '2020-05-31'}
- },
- 'IE': { #'part_start': {'date': '2020-03-12'}
- 'full_start': {'date': '2020-03-27'}
- , 'part_finish': {'date': '2020-05-18'}
- },
-}
-```
-
-```python Collapsed="false"
-for cID in lockdown_dates:
- for phase in lockdown_dates[cID]:
- dst_in = data_since_threshold[data_since_threshold.dateRep == (lockdown_dates[cID][phase]['date'])].loc[(slice(None), [cID]), :]
- dst_i = dst_in.first_valid_index()
- dst_n = dst_in.iloc[0].deaths_m7
- dst_c = dst_in.iloc[0].cases_m7
- lockdown_dates[cID][phase]['since_threshold'] = dst_i[0]
- lockdown_dates[cID][phase]['deaths_m7'] = dst_n
- lockdown_dates[cID][phase]['cases_m7'] = dst_c
-
-lockdown_dates
-```
-
-```python Collapsed="false"
-ax = deaths_m7[COUNTRIES_CORE].plot(figsize=(15, 9), title="Deaths per day, 7 day moving averagee, with lockdown dates")
-ax.set_xlabel(f"Days since {DEATH_COUNT_THRESHOLD} deaths")
-# uk_projection.deaths_m7.plot(ax=ax)
-for c in COUNTRIES_CORE:
- lvi = deaths_m7[c].last_valid_index()
- if c != 'UK':
- ax.text(x = lvi + 1, y = deaths_m7[c][lvi], s = f"{c}: {deaths_m7[c][lvi]:.0f}")
- if c in lockdown_dates:
- for phase in lockdown_dates[c]:
- marker_col = [l for l in ax.lines if l.get_label() == c][0].get_color()
- ax.plot(lockdown_dates[c][phase]['since_threshold'], lockdown_dates[c][phase]['deaths_m7'], '*',
- markersize=18, markerfacecolor=marker_col, markeredgecolor=marker_col)
- if 'start' not in phase:
- ax.text(x = lockdown_dates[c][phase]['since_threshold'] + 1, y = lockdown_dates[c][phase]['deaths_m7'],
- s = f"{lockdown_dates[c][phase]['date']}: {lockdown_dates[c][phase]['deaths_m7']:.0f}")
-# plt.savefig('school_reopenings.png')
-```
-
-```python Collapsed="false"
-ax = cases_m7.iloc[-50:][COUNTRIES_CORE].plot(figsize=(15, 9), title="Cases per day, 7 day moving average, with lockdown dates") #, ylim=(-10, 1500))
-ax.set_xlabel(f"Days since {DEATH_COUNT_THRESHOLD} deaths")
-# uk_projection.deaths_m7.plot(ax=ax)
-for c in COUNTRIES_CORE:
- lvi = cases_m7[c].last_valid_index()
-# if c != 'UK':
- ax.text(x = lvi + 1, y = cases_m7[c][lvi], s = f"{c}: {cases_m7[c][lvi]:.0f}")
-
-```
-
-```python Collapsed="false"
-ax = cases_m7[COUNTRIES_CORE].plot(figsize=(15, 9), title="Cases per day, 7 day moving average, with lockdown dates")
-ax.set_xlabel(f"Days since {DEATH_COUNT_THRESHOLD} deaths")
-# uk_projection.deaths_m7.plot(ax=ax)
-for c in COUNTRIES_CORE:
- lvi = cases_m7[c].last_valid_index()
-# if c != 'UK':
- ax.text(x = lvi + 1, y = cases_m7[c][lvi], s = f"{c}: {cases_m7[c][lvi]:.0f}")
- if c in lockdown_dates:
- for phase in lockdown_dates[c]:
- marker_col = [l for l in ax.lines if l.get_label() == c][0].get_color()
- if 'start' in phase:
- marker_shape = '^'
- else:
- marker_shape = 'v'
- ax.plot(lockdown_dates[c][phase]['since_threshold'], lockdown_dates[c][phase]['cases_m7'],
- marker_shape,
- markersize=18, markerfacecolor=marker_col, markeredgecolor=marker_col)
- if 'start' not in phase:
- ax.text(x = lockdown_dates[c][phase]['since_threshold'] + 1, y = lockdown_dates[c][phase]['cases_m7'],
- s = f"{lockdown_dates[c][phase]['date']}: {lockdown_dates[c][phase]['cases_m7']:.0f}")
-# plt.savefig('cases_per_day_with_lockdown.png')
-```
-
-```python Collapsed="false"
-plot_start_date = '2020-03-01'
-ax = cases_by_date_m7.loc[plot_start_date:, COUNTRIES_CORE].plot(figsize=(15, 9), title="Cases per day, 7 day moving average, with lockdown dates")
-ax.set_xlabel(f"Date")
-ax.set_ylabel("Number of cases")
-# uk_projection.deaths_m7.plot(ax=ax)
-for c in COUNTRIES_CORE:
- lvi = cases_by_date_m7[c].last_valid_index()
-# if c != 'UK':
- ax.text(x = lvi + pd.Timedelta(days=1), y = cases_by_date_m7[c][lvi], s = f"{c}: {cases_by_date_m7[c][lvi]:.0f}")
- if c in lockdown_dates:
- for phase in lockdown_dates[c]:
- marker_col = [l for l in ax.lines if l.get_label() == c][0].get_color()
- if 'start' in phase:
- marker_shape = '^'
- else:
- marker_shape = 'v'
- marker_x_pos = ax.get_xlim()[0] + mpl.dates.date2num(pd.to_datetime(lockdown_dates[c][phase]['date'])) - mpl.dates.date2num(pd.to_datetime(plot_start_date))
- ax.plot(marker_x_pos, lockdown_dates[c][phase]['cases_m7'],
- marker_shape,
- markersize=18, markerfacecolor=marker_col, markeredgecolor=marker_col)
- if 'start' not in phase:
- ax.text(x = marker_x_pos + 3, y = lockdown_dates[c][phase]['cases_m7'],
- s = f"{lockdown_dates[c][phase]['date']}: {lockdown_dates[c][phase]['cases_m7']:.0f}")
-plt.savefig('cases_per_day_with_lockdown.png')
-```
-
-```python Collapsed="false"
-ax = cases_m7[COUNTRIES_CORE].plot(figsize=(10, 6), title="Cases per day, 7 day moving average")
-for c in COUNTRIES_CORE:
- lvi = cases_m7[c].last_valid_index()
- ax.text(x = lvi + 1, y = cases_m7[c][lvi], s = c)
-plt.savefig('covid_cases_per_day-core.png')
-```
-
-```python Collapsed="false"
-ax = deaths_m7[COUNTRIES_CORE].plot(figsize=(15, 9), title="Deaths per day, 7 day moving average",
- xlim=(0, 15),
- ylim=(0, 66)
- )
-# uk_projection.deaths_m7.plot(ax=ax)
-for c in COUNTRIES_CORE:
- lvi = deaths_m7[c].last_valid_index()
- if c in lockdown_dates:
- for phase in lockdown_dates[c]:
- if 'start' in phase:
- print(c, phase)
- marker_col = [l for l in ax.lines if l.get_label() == c][0].get_color()
- ax.plot(lockdown_dates[c][phase]['since_threshold'], lockdown_dates[c][phase]['deaths_m7'], '*',
- markersize=18, markerfacecolor=marker_col, markeredgecolor=marker_col)
- ax.text(x = lockdown_dates[c][phase]['since_threshold'] + 0.3, y = lockdown_dates[c][phase]['deaths_m7'],
- s = f"{lockdown_dates[c][phase]['date']}: {lockdown_dates[c][phase]['deaths_m7']:.0f}")
-# plt.savefig('school_reopenings.png')
-```
-
-```python Collapsed="false"
-
-```
-
-```python Collapsed="false"
-
-```
-
-<!-- #region Collapsed="false" -->
-# Write results to summary file
-<!-- #endregion -->
-
-```python Collapsed="false"
-with open('covid_summary.md', 'w') as f:
- f.write('% Covid death data summary\n')
- f.write('% Neil Smith\n')
- f.write(f'% Created on {datetime.datetime.now().strftime("%Y-%m-%d")}\n')
- f.write('\n')
-
- last_uk_date = data_since_threshold.replace([np.inf, -np.inf], np.nan).loc[(slice(None), ['UK']), 'dateRep'].iloc[-1]
- f.write(f'> Last UK data from {last_uk_date.strftime("%Y-%m-%d")}\n')
- f.write('\n')
-```
-
-```python Collapsed="false"
-with open('covid_summary.md', 'a') as f:
- f.write('## Headlines\n')
- f.write('\n')
- f.write('| []() | |\n')
- f.write('|:---|---:|\n')
- f.write(f'| Deaths reported so far | {uk_covid_deaths} | \n')
- f.write(f'| Total Covid deaths to date (estimated) | {uk_deaths_to_date:.0f} |\n')
- projection_date = data_since_threshold.replace([np.inf, -np.inf], np.nan).loc[(slice(None), ['IT']), 'dateRep'].iloc[-1] + pd.Timedelta(s_end - s_start, unit='days')
-# f.write(f'| Projected total deaths up to {projection_date.strftime("%Y-%m-%d")} | {deaths_actual_projected_scaled:.0f} | \n')
- f.write('\n')
-```
-
-```python Collapsed="false"
-with open('covid_summary.md', 'a') as f:
- f.write('## Total deaths\n')
-# f.write(f'Time based on days since {DEATH_COUNT_THRESHOLD} deaths\n')
- f.write('\n')
- f.write('\n')
- f.write('\n')
- f.write('| Country ID | Country name | Total deaths |\n')
- f.write('|:-----------|:-------------|-------------:|\n')
- for c in sorted(COUNTRIES_CORE):
- lvi = deaths_by_date[c].last_valid_index()
- f.write(f'| {c} | {countries.loc[c].countriesAndTerritories} | {int(deaths_by_date[c][lvi])} |\n')
- f.write('\n')
-```
-
-```python Collapsed="false"
-with open('covid_summary.md', 'a') as f:
- f.write('## All-causes deaths, UK\n')
- f.write('\n')
- f.write('\n')
- f.write('\n')
- f.write('### True deaths\n')
- f.write('\n')
- f.write(f'The number of deaths reported in official statistics, {uk_covid_deaths}, is an underestimate '
- 'of the true number of Covid deaths.\n'
- 'This is especially true early in the pandemic, approximately March to May 2020.\n')
- f.write('We can get a better understanding of the impact of Covid by looking at the number of deaths, '
- 'over and above what would be expected at each week of the year.\n')
- f.write(f'The ONS (and other bodies in Scotland and Northern Ireland) have released data on the number of deaths '
- f'up to {pd.to_datetime(excess_deaths_data["end_date"]).strftime("%d %B %Y")}.\n\n')
- f.write('If, for each of those weeks, I take the largest of the excess deaths or the reported Covid deaths, ')
- f.write(f'I estimate there have been **{uk_deaths_to_date}** total deaths so far.\n')
- f.write('\n')
-```
-
-```python Collapsed="false"
-# with open('covid_summary.md', 'a') as f:
-# f.write(f'In that period, the UK reported {ons_reported_deaths} Covid deaths.\n')
-# f.write(f'In the last three weeks for which excess deaths have been reported, the excess deaths have been {excess_death_accuracy:.3f} higher than the Covid-reported deaths.\n')
-# # f.write(f'That means the actual number of Covid death is about {excess_deaths / reported_deaths:.2f} times higher than the reported figures.\n')
-# f.write('\n')
-# f.write(f'The UK has reported {uk_covid_deaths} deaths so far.\n')
-# f.write(f'Using the scaling factor above (for Covid-19 deaths after the ONS figures), I infer that there have been **{uk_deaths_to_date:.0f}** total deaths so far.\n')
-# f.write('\n')
-```
-
-```python Collapsed="false"
-with open('covid_summary.md', 'a') as f:
- f.write('## Deaths per day\n')
- f.write(f'Based on a 7-day moving average\n')
- f.write('\n')
- f.write('\n')
- f.write('\n')
- f.write('\n')
- f.write('\n')
-```
-
-```python Collapsed="false"
-s_end - s_start - 1
-```
-
-```python Collapsed="false"
-with open('covid_summary.md', 'a') as f:
- f.write('## Projected deaths\n')
- f.write("Previously, I was using Italy's deaths data to predict the UK's deaths data. "
- "This worked when both countries' trends of deaths were falling or constant, "
- "as they were until September.\n")
- f.write("\n")
- f.write("As of mid-September, with cases rising in both countries at around the same time, "
- "I can't use Italian data to predict the UK's future deaths.\n")
- f.write("\n")
-# f.write(f"The UK's daily deaths data is very similar to Italy's.\n")
-# f.write(f'If I use the Italian data for the next {s_end - s_start - 1} days (from {s_start_date.strftime("%d %B %Y")} onwards),')
-# f.write(f' the UK will report {uk_projection.deaths.sum()} deaths on day {uk_end} of the epidemic.\n')
-# f.write('\n')
-# f.write('Using the excess deaths scaling from above, that will translate into ')
-# f.write(f'**{deaths_actual_projected_scaled:.0f}** Covid deaths total.\n')
-# f.write('\n')
-```
-
-```python Collapsed="false"
-with open('covid_summary.md', 'a') as f:
- f.write('## Deaths doubling times\n')
- f.write(f'Based on a 7-day moving average\n')
- f.write('\n')
- f.write('\n')
- f.write('\n')
-```
-
-```python Collapsed="false"
-with open('covid_summary.md', 'a') as f:
- f.write('\n')
- f.write('## Cases per day and lockdown dates\n')
- f.write(f'Based on a 7-day moving average\n')
- f.write('\n')
- f.write('\n')
- f.write('\n')
-```
-
-```python Collapsed="false"
-with open('covid_summary.md', 'a') as f:
- f.write('| Country ID | Country name | Most recent daily cases | Most recent daily deaths |\n')
- f.write('|:-----------|:-------------|------------------------:|-------------------------:|\n')
- for c in sorted(COUNTRIES_CORE):
- lvic = cases_m7[c].last_valid_index()
- lvid = deaths_m7[c].last_valid_index()
- f.write(f'| {c} | {countries.loc[c].countriesAndTerritories} | {cases_m7[c][lvic]:.0f} | {deaths_m7[c][lvid]:.0f} | \n')
- f.write('\n')
- f.write('(Figures are 7-day averages)\n')
- f.write('\n')
-```
-
-```python Collapsed="false"
-with open('hospital_normalisation_date.json') as f:
- hospital_normalisation_date_data = json.load(f)
-```
-
-```python Collapsed="false"
-with open('covid_summary.md', 'a') as f:
- f.write('## Hospital care\n')
- f.write(f'Based on a 7-day moving average\n')
- f.write('\n')
- f.write('\n')
- f.write('\n')
-# f.write('Admissions are shifted by 10 days, deaths by 25 days. '
-# 'This reflects the typical timescales of infection: '
-# 'patients are admitted 10 days after onset of symptoms, '
-# 'and die 15 days after admission.\n')
-# f.write('\n')
-# f.write('Plotting this data with offsets shows more clearly '
-# 'the relative changes in these three metrics.\n')
- f.write('Due to the large scale differences between the three '
- 'measures, they are all normalised to show changes ')
- f.write(f'since {pd.to_datetime(hospital_normalisation_date_data["hospital_normalisation_date"]).strftime("%d %B %Y")}.\n')
- f.write('\n')
-```
-
-```python Collapsed="false"
-with open('covid_summary.md', 'a') as f:
- f.write('## Testing effectiveness\n')
- f.write('\n')
- f.write('A question about testing is whether more detected cases is a result of more tests being '
- 'done or is because the number of cases is increasing. One way of telling the differeence '
- 'is by looking at the fraction of tests that are positive.\n')
- f.write('\n')
- f.write('\n')
- f.write('\n')
- f.write('Numbers of positive tests and cases, '
- '7-day moving average.\n'
- 'Note the different y-axes\n')
- f.write('\n')
- f.write('\n')
- f.write('\n')
- f.write('Fraction of tests with a positive result, both daily figures and '
- '7-day moving average.\n')
- f.write('\n')
- f.write('\n')
- f.write('\n')
- f.write('\n')
- f.write('The trajectory of tests done vs fraction positive tests.\n')
- f.write('\n')
- f.write('Points higher indicate more tests; points to the right indicate more positive tests.'
- 'More tests being done with the same infection prevelance will move the point up '
- 'and to the left.\n')
- f.write('\n')
- f.write('\n')
- f.write('\n')
- f.write('\n')
-```
-
-```python Collapsed="false"
-
-```
-
-```python Collapsed="false"
-with open('covid_summary.md', 'a') as f:
- f.write('# Data sources\n')
- f.write('\n')
- f.write('> Covid data from [European Centre for Disease Prevention and Control](https://www.ecdc.europa.eu/en/publications-data/download-todays-data-geographic-distribution-covid-19-cases-worldwide)\n')
- f.write('\n')
- f.write("""> Population data from:
-
-* [Office of National Statistics](https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/datasets/weeklyprovisionalfiguresondeathsregisteredinenglandandwales) (Endland and Wales) Weeks start on a Saturday.
-* [Northern Ireland Statistics and Research Agency](https://www.nisra.gov.uk/publications/weekly-deaths) (Northern Ireland). Weeks start on a Saturday. Note that the week numbers don't match the England and Wales data.
-* [National Records of Scotland](https://www.nrscotland.gov.uk/statistics-and-data/statistics/statistics-by-theme/vital-events/general-publications/weekly-and-monthly-data-on-births-and-deaths/weekly-data-on-births-and-deaths) (Scotland). Note that Scotland uses ISO8601 week numbers, which start on a Monday.""")
-
- f.write('\n\n')
- f.write('> [Source code available](https://git.njae.me.uk/?p=covid19.git;a=tree)\n')
- f.write('\n')
-
-```
-
-```python Collapsed="false"
-!pandoc --toc -s covid_summary.md > covid_summary.html
-```
-
-```python Collapsed="false"
-!scp covid_summary.html neil@ogedei:/var/www/scripts.njae.me.uk/covid/index.html
-!scp covid_deaths_total_linear.png neil@ogedei:/var/www/scripts.njae.me.uk/covid/
-!scp deaths-radar.png neil@ogedei:/var/www/scripts.njae.me.uk/covid/
-!scp covid_deaths_per_day_7.png neil@ogedei:/var/www/scripts.njae.me.uk/covid/
-!scp covid_doubling_times_7.png neil@ogedei:/var/www/scripts.njae.me.uk/covid/
-!scp cases_per_day_with_lockdown.png neil@ogedei:/var/www/scripts.njae.me.uk/covid/
-!scp cases_admissions_deaths.png neil@ogedei:/var/www/scripts.njae.me.uk/covid/
-!scp fraction_positive_tests.png neil@ogedei:/var/www/scripts.njae.me.uk/covid/
-!scp tests_and_cases.png neil@ogedei:/var/www/scripts.njae.me.uk/covid/
-!scp deaths_by_date_last_30_days.png neil@ogedei:/var/www/scripts.njae.me.uk/covid/
-!scp fraction_positive_tests_vs_tests.png neil@ogedei:/var/www/scripts.njae.me.uk/covid/
-!scp tests_vs_fraction_positive_animation.png neil@ogedei:/var/www/scripts.njae.me.uk/covid/
-```
-
-```python Collapsed="false"
-with open('uk_covid_deaths.js', 'w') as f:
- f.write(f"document.write('{uk_covid_deaths}');")
-
-with open('estimated_total_deaths.js', 'w') as f:
- f.write(f"document.write('{uk_deaths_to_date:.0f}');")
-
-# with open('projection_date.js', 'w') as f:
-# f.write(f"document.write(\'{projection_date.strftime('%d %B %Y')}\');")
-
-# with open('projected_deaths.js', 'w') as f:
-# f.write(f"document.write('{uk_projection.deaths.sum():.0f}');")
-
-# with open('projected_excess_deaths.js', 'w') as f:
-# f.write(f"document.write('{deaths_actual_projected_scaled:.0f}');")
-
-edut = pd.to_datetime(excess_deaths_data["end_date"]).strftime('%d %B %Y')
-with open('excess_deaths_upto.js', 'w') as f:
- f.write(f"document.write('{edut}');")
-
-# with open('excess_deaths.js', 'w') as f:
-# f.write(f"document.write('{excess_deaths:.0f}');")
-
-# with open('reported_deaths.js', 'w') as f:
-# f.write(f"document.write('{ons_reported_deaths:.0f}');")
-
-# with open('scaling_factor.js', 'w') as f:
-# f.write(f"document.write('{excess_death_accuracy:.2f}');")
-
-# with open('projection_length.js', 'w') as f:
-# f.write(f"document.write('{s_end - s_start - 1}');")
-
-# with open('s_end.js', 'w') as f:
-# f.write(f"document.write('{s_end}');")
-
-# s_start_date_str = s_start_date.strftime("%d %B %Y")
-# with open('s_start_date.js', 'w') as f:
-# f.write(f"document.write('{s_start_date_str}');")
-
-# with open('uk_end.js', 'w') as f:
-# f.write(f"document.write('{uk_end}');")
-
-with open('last_uk_date.js', 'w') as f:
- f.write(f"document.write('{pd.to_datetime(last_uk_date).strftime('%d %B %Y')}');")
-```
-
-```python Collapsed="false"
-# pd.to_datetime(excess_deaths_upto).strftime('%d %B %Y')
-```
-
-```python Collapsed="false"
-!scp uk_covid_deaths.js neil@ogedei:/var/www/scripts.njae.me.uk/covid/
-!scp estimated_total_deaths.js neil@ogedei:/var/www/scripts.njae.me.uk/covid/
-# !scp projection_date.js neil@ogedei:/var/www/scripts.njae.me.uk/covid/
-# !scp projected_deaths.js neil@ogedei:/var/www/scripts.njae.me.uk/covid/
-# !scp projected_excess_deaths.js neil@ogedei:/var/www/scripts.njae.me.uk/covid/
-!scp excess_deaths_upto.js neil@ogedei:/var/www/scripts.njae.me.uk/covid/
-# !scp excess_deaths.js neil@ogedei:/var/www/scripts.njae.me.uk/covid/
-# !scp reported_deaths.js neil@ogedei:/var/www/scripts.njae.me.uk/covid/
-# !scp scaling_factor.js neil@ogedei:/var/www/scripts.njae.me.uk/covid/
-# !scp projection_length.js neil@ogedei:/var/www/scripts.njae.me.uk/covid/
-# !scp s_end.js neil@ogedei:/var/www/scripts.njae.me.uk/covid/
-# !scp s_start_date.js neil@ogedei:/var/www/scripts.njae.me.uk/covid/
-# !scp uk_end.js neil@ogedei:/var/www/scripts.njae.me.uk/covid/
-!scp last_uk_date.js neil@ogedei:/var/www/scripts.njae.me.uk/covid/
-!scp hospital_normalisation_date.js neil@ogedei:/var/www/scripts.njae.me.uk/covid/
-```
-
-```python Collapsed="false"
-data_by_date.loc['UK'].to_csv('data_by_day_uk.csv', header=True, index=True)
-data_by_date.loc['BE'].to_csv('data_by_day_be.csv', header=True, index=True)
-```
-
-```python Collapsed="false"
-ukd = data_since_threshold.replace([np.inf, -np.inf], np.nan).loc[(slice(None), ['UK']), ['deaths', 'deaths_m7']].droplevel(1)
-ax = ukd.deaths.plot.bar(figsize=(12, 8))
-ukd.deaths_m7.plot.line(ax=ax, color='red')
-# ax = data_since_threshold.replace([np.inf, -np.inf], np.nan).loc[(slice(None), ['UK']), 'deaths_m7'].plot.line(figsize=(12, 8), color='red')
-# ax = data_since_threshold.replace([np.inf, -np.inf], np.nan).loc[(slice(None), ['UK']), 'deaths'].plot.bar(ax=ax)
-ax.set_xticks(range(0, 120, 20))
-```
-
-```python Collapsed="false"
-ukdd = data_by_date.loc['UK'].iloc[-30:]
-ax = ukdd.deaths_m7.plot.line(figsize=(12, 8), color='red')
-# ukdd.deaths.plot.bar(ax=ax)
-ax.bar(ukdd.index, ukdd.deaths)
-```
-
-```python Collapsed="false"
-ukdd
-```
-
-```python Collapsed="false"
-np.arange(0, 130, 20)
-```
-
-```python Collapsed="false"
-data_by_date.loc['UK']
-```
-
-```python Collapsed="false"
-data_by_date.loc['UK'].plot(x='deaths_culm', y='deaths', logx=True, logy=True)
-```
-
-```python Collapsed="false"
-data_by_date.loc['UK'].plot(x='cases_culm', y='cases')
-```
-
-```python Collapsed="false"
-ukdbd = data_by_date.loc['UK'].copy()
-ukdbd['deaths_m7'] = ukdbd.deaths.transform(lambda x: x.rolling(7, 1).mean())
-ukdbd['cases_m7'] = ukdbd.cases.transform(lambda x: x.rolling(7, 1).mean())
-ukdbd
-```
-
-```python Collapsed="false"
-ukdbd.plot(x='deaths_culm', y='deaths_m7', logx=True, logy=True)
-```
-
-```python Collapsed="false"
-fig, ax = plt.subplots(figsize=(12, 8))
-xmax = 10
-for c in COUNTRIES_CORE:
- if data_since_threshold.loc[(slice(None), c), 'deaths_culm'].max() > xmax:
- xmax = data_since_threshold.loc[(slice(None), c), 'deaths_culm'].max()
- data_since_threshold.loc[(slice(None), c), :].plot(x='deaths_culm', y='deaths_m7', logx=True, logy=True, xlim=(10, xmax * 1.1), label=c, ax=ax)
-```
-
-```python Collapsed="false"
-data_since_threshold.loc[(slice(None), 'UK'), 'deaths_culm'].max()
-```
-
-```python Collapsed="false"
-countries.continentExp.unique()
-```
-
-```python Collapsed="false"
-countries.loc['KW']
-```
-
-```python Collapsed="false"
-data_by_date.groupby(level=0)['deaths'].shift(-25)
-```
-
-```python Collapsed="false"
-offset_data = data_by_date.loc[:, ['cases']]
-offset_data['deaths'] = data_by_date.groupby(level=0)['deaths'].shift(-25)
-offset_data['cases_m7'] = offset_data.groupby(level=0)['cases'].transform(lambda x: x.rolling(7, 1).mean())
-offset_data['deaths_m7'] = offset_data['deaths'].dropna().groupby(level=0).transform(lambda x: x.rolling(7, 1).mean())
-offset_data['deaths_per_case'] = offset_data.deaths_m7 / offset_data.cases_m7
-offset_data
-```
-
-```python Collapsed="false"
-deaths_m7
-```
-
-```python Collapsed="false"
-offset_deaths_m7 = (offset_data.loc[COUNTRIES_ALL, ['deaths_m7']]
- .unstack().sort_index().xs('deaths_m7', axis=1, drop_level=True)).T.sort_index()
-offset_deaths_m7
-```
-
-```python Collapsed="false"
-offset_deaths_m7['UK']
-```
-
-```python Collapsed="false"
-data_since_threshold.loc[(slice(None), 'UK'), :].tail()
-```
-
-```python Collapsed="false"
-countries.loc['PT']
-```
-
-```python Collapsed="false"
-ax = cases_by_date_m7.iloc[-50:][COUNTRIES_FRIENDS].plot(figsize=(15, 9), title="Cases per day, 7 day moving average")#, ylim=(-10, 1500))
-# ax.set_xlabel(f"Days since {DEATH_COUNT_THRESHOLD} deaths")
-# uk_projection.deaths_m7.plot(ax=ax)
-for c in COUNTRIES_FRIENDS:
- lvi = cases_by_date_m7[c].last_valid_index()
- ax.text(x = lvi + pd.Timedelta(days=1), y = cases_by_date_m7[c][lvi], s = f"{c}: {cases_by_date_m7[c][lvi]:.0f}")
-
-```
-
-```python Collapsed="false"
-ax = deaths_by_date_m7.iloc[-50:][COUNTRIES_FRIENDS].plot(figsize=(15, 9), title="Deaths per day, 7 day moving average")#, ylim=(-10, 100))
-# ax.set_xlabel(f"Days since {DEATH_COUNT_THRESHOLD} deaths")
-# uk_projection.deaths_m7.plot(ax=ax)
-for c in COUNTRIES_FRIENDS:
- lvi = deaths_by_date_m7[c].last_valid_index()
-# if c != 'ES':
- ax.text(x = lvi + pd.Timedelta(days=1), y = deaths_by_date_m7[c][lvi], s = f"{c}: {deaths_by_date_m7[c][lvi]:.0f}")
-```
-
-```python Collapsed="false"
-
-```
+++ /dev/null
-{
- "cells": [
- {
- "cell_type": "markdown",
- "metadata": {
- "Collapsed": "false"
- },
- "source": [
- "Data from [European Centre for Disease Prevention and Control](https://www.ecdc.europa.eu/en/publications-data/download-todays-data-geographic-distribution-covid-19-cases-worldwide)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 314,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "from sqlalchemy.types import Integer, Text, String, DateTime, Date, Float\n",
- "from sqlalchemy import create_engine"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 315,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "import itertools\n",
- "import collections\n",
- "import json\n",
- "import pandas as pd\n",
- "import numpy as np\n",
- "from scipy.stats import gmean\n",
- "import datetime\n",
- "\n",
- "import matplotlib as mpl\n",
- "import matplotlib.pyplot as plt\n",
- "%matplotlib inline"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 316,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "The sql extension is already loaded. To reload it, use:\n",
- " %reload_ext sql\n"
- ]
- }
- ],
- "source": [
- "%load_ext sql"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 317,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "connection_string = 'postgresql://covid:3NbjJTkT63@localhost/covid'"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 318,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "'Connected: covid@covid'"
- ]
- },
- "execution_count": 318,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "%sql $connection_string"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 319,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "eng = create_engine(connection_string)\n",
- "engine = eng.execution_options(isolation_level=\"AUTOCOMMIT\")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 320,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "DEATH_COUNT_THRESHOLD = 10\n",
- "COUNTRIES_CORE = 'IT DE UK ES IE FR BE'.split()\n",
- "COUNTRIES_NORDIC = 'SE NO DK FI UK'.split()\n",
- "COUNTRIES_FRIENDS = 'IT UK ES BE SI MX'.split()\n",
- "# COUNTRIES_FRIENDS = 'IT UK ES BE SI PT'.split()\n",
- "\n",
- "COUNTRIES_AMERICAS = ['AG', 'AR', 'AW', 'BS', 'BB', 'BZ', 'BM', 'BO', 'BR', 'VG', 'KY', # excluding Canada and USA\n",
- " 'CL', 'CO', 'CR', 'CU', 'CW', 'DM', 'DO', 'EC', 'SV', 'GL', 'GD', 'GT',\n",
- " 'GY', 'HT', 'HN', 'JM', 'MX', 'MS', 'NI', 'PA', 'PY', 'PE', 'PR', 'KN',\n",
- " 'LC', 'VC', 'SX', 'SR', 'TT', 'TC', 'VI', 'UY', 'VE']\n",
- "COUNTRIES_OF_INTEREST = list(set(COUNTRIES_CORE + COUNTRIES_FRIENDS))\n",
- "COUNTRIES_ALL = list(set(COUNTRIES_CORE + COUNTRIES_FRIENDS + COUNTRIES_NORDIC + COUNTRIES_AMERICAS))"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 321,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " % Total % Received % Xferd Average Speed Time Time Time Current\n",
- " Dload Upload Total Spent Left Speed\n",
- "100 623k 100 623k 0 0 927k 0 --:--:-- --:--:-- --:--:-- 925k\n"
- ]
- }
- ],
- "source": [
- "!curl https://opendata.ecdc.europa.eu/covid19/casedistribution/csv/ > covid.csv"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 322,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# First col is a date, treat geoId of NA as 'Namibia', not \"NA\" value\n",
- "raw_data = pd.read_csv('covid.csv', \n",
- " parse_dates=[0], dayfirst=True,\n",
- " keep_default_na=False, na_values = [''],\n",
- "# dtype = {'day': np.int64, \n",
- "# 'month': np.int64, \n",
- "# 'year': np.int64, \n",
- "# 'cases': np.int64, \n",
- "# 'deaths': np.int64, \n",
- "# 'countriesAndTerritories': str, \n",
- "# 'geoId': str, \n",
- "# 'countryterritoryCode': str, \n",
- "# 'popData2019': np.int64, \n",
- "# 'continentExp': str, \n",
- "# }\n",
- " )"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 323,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "100050"
- ]
- },
- "execution_count": 323,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "raw_data.size"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 324,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "raw_data.fillna(0, inplace=True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 325,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
- " .dataframe tbody tr th:only-of-type {\n",
- " vertical-align: middle;\n",
- " }\n",
- "\n",
- " .dataframe tbody tr th {\n",
- " vertical-align: top;\n",
- " }\n",
- "\n",
- " .dataframe thead th {\n",
- " text-align: right;\n",
- " }\n",
- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>dateRep</th>\n",
- " <th>year_week</th>\n",
- " <th>cases_weekly</th>\n",
- " <th>deaths_weekly</th>\n",
- " <th>countriesAndTerritories</th>\n",
- " <th>geoId</th>\n",
- " <th>countryterritoryCode</th>\n",
- " <th>popData2019</th>\n",
- " <th>continentExp</th>\n",
- " <th>notification_rate_per_100000_population_14-days</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>0</th>\n",
- " <td>2021-01-18</td>\n",
- " <td>2021-02</td>\n",
- " <td>557</td>\n",
- " <td>45</td>\n",
- " <td>Afghanistan</td>\n",
- " <td>AF</td>\n",
- " <td>AFG</td>\n",
- " <td>38041757.0</td>\n",
- " <td>Asia</td>\n",
- " <td>3.24</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>2021-01-11</td>\n",
- " <td>2021-01</td>\n",
- " <td>675</td>\n",
- " <td>71</td>\n",
- " <td>Afghanistan</td>\n",
- " <td>AF</td>\n",
- " <td>AFG</td>\n",
- " <td>38041757.0</td>\n",
- " <td>Asia</td>\n",
- " <td>4.15</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>2021-01-04</td>\n",
- " <td>2020-53</td>\n",
- " <td>902</td>\n",
- " <td>60</td>\n",
- " <td>Afghanistan</td>\n",
- " <td>AF</td>\n",
- " <td>AFG</td>\n",
- " <td>38041757.0</td>\n",
- " <td>Asia</td>\n",
- " <td>7.61</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>2020-12-28</td>\n",
- " <td>2020-52</td>\n",
- " <td>1994</td>\n",
- " <td>88</td>\n",
- " <td>Afghanistan</td>\n",
- " <td>AF</td>\n",
- " <td>AFG</td>\n",
- " <td>38041757.0</td>\n",
- " <td>Asia</td>\n",
- " <td>7.19</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>2020-12-21</td>\n",
- " <td>2020-51</td>\n",
- " <td>740</td>\n",
- " <td>111</td>\n",
- " <td>Afghanistan</td>\n",
- " <td>AF</td>\n",
- " <td>AFG</td>\n",
- " <td>38041757.0</td>\n",
- " <td>Asia</td>\n",
- " <td>6.56</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " dateRep year_week cases_weekly deaths_weekly countriesAndTerritories \\\n",
- "0 2021-01-18 2021-02 557 45 Afghanistan \n",
- "1 2021-01-11 2021-01 675 71 Afghanistan \n",
- "2 2021-01-04 2020-53 902 60 Afghanistan \n",
- "3 2020-12-28 2020-52 1994 88 Afghanistan \n",
- "4 2020-12-21 2020-51 740 111 Afghanistan \n",
- "\n",
- " geoId countryterritoryCode popData2019 continentExp \\\n",
- "0 AF AFG 38041757.0 Asia \n",
- "1 AF AFG 38041757.0 Asia \n",
- "2 AF AFG 38041757.0 Asia \n",
- "3 AF AFG 38041757.0 Asia \n",
- "4 AF AFG 38041757.0 Asia \n",
- "\n",
- " notification_rate_per_100000_population_14-days \n",
- "0 3.24 \n",
- "1 4.15 \n",
- "2 7.61 \n",
- "3 7.19 \n",
- "4 6.56 "
- ]
- },
- "execution_count": 325,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "raw_data.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 326,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "raw_data.rename(columns={'dateRep':'report_date', 'geoId': 'geo_id',\n",
- " 'countriesAndTerritories': 'country_name',\n",
- " 'countryterritoryCode': 'country_territory_code',\n",
- " 'popData2019': 'population_2019',\n",
- " 'continentExp': 'continent'}, inplace=True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 327,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "Index(['report_date', 'year_week', 'cases_weekly', 'deaths_weekly',\n",
- " 'country_name', 'geo_id', 'country_territory_code', 'population_2019',\n",
- " 'continent', 'notification_rate_per_100000_population_14-days'],\n",
- " dtype='object')"
- ]
- },
- "execution_count": 327,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "raw_data.columns"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 328,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "report_date datetime64[ns]\n",
- "year_week object\n",
- "cases_weekly int64\n",
- "deaths_weekly int64\n",
- "country_name object\n",
- "geo_id object\n",
- "country_territory_code object\n",
- "population_2019 float64\n",
- "continent object\n",
- "notification_rate_per_100000_population_14-days float64\n",
- "dtype: object"
- ]
- },
- "execution_count": 328,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "raw_data.dtypes"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 329,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
- " .dataframe tbody tr th:only-of-type {\n",
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- " <th>cases_weekly</th>\n",
- " <th>deaths_weekly</th>\n",
- " <th>geo_id</th>\n",
- " <th>notification_rate_per_100000_population_14-days</th>\n",
- " </tr>\n",
- " </thead>\n",
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- " <tr>\n",
- " <th>0</th>\n",
- " <td>2021-01-18</td>\n",
- " <td>557</td>\n",
- " <td>45</td>\n",
- " <td>AF</td>\n",
- " <td>3.24</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>2021-01-11</td>\n",
- " <td>675</td>\n",
- " <td>71</td>\n",
- " <td>AF</td>\n",
- " <td>4.15</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>2021-01-04</td>\n",
- " <td>902</td>\n",
- " <td>60</td>\n",
- " <td>AF</td>\n",
- " <td>7.61</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>2020-12-28</td>\n",
- " <td>1994</td>\n",
- " <td>88</td>\n",
- " <td>AF</td>\n",
- " <td>7.19</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>2020-12-21</td>\n",
- " <td>740</td>\n",
- " <td>111</td>\n",
- " <td>AF</td>\n",
- " <td>6.56</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>...</th>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>10000</th>\n",
- " <td>2020-04-20</td>\n",
- " <td>11</td>\n",
- " <td>0</td>\n",
- " <td>ZW</td>\n",
- " <td>0.11</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>10001</th>\n",
- " <td>2020-04-13</td>\n",
- " <td>5</td>\n",
- " <td>2</td>\n",
- " <td>ZW</td>\n",
- " <td>0.05</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>10002</th>\n",
- " <td>2020-04-06</td>\n",
- " <td>2</td>\n",
- " <td>0</td>\n",
- " <td>ZW</td>\n",
- " <td>0.05</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>10003</th>\n",
- " <td>2020-03-30</td>\n",
- " <td>5</td>\n",
- " <td>1</td>\n",
- " <td>ZW</td>\n",
- " <td>0.05</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>10004</th>\n",
- " <td>2020-03-23</td>\n",
- " <td>2</td>\n",
- " <td>0</td>\n",
- " <td>ZW</td>\n",
- " <td>0.00</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "<p>10005 rows × 5 columns</p>\n",
- "</div>"
- ],
- "text/plain": [
- " report_date cases_weekly deaths_weekly geo_id \\\n",
- "0 2021-01-18 557 45 AF \n",
- "1 2021-01-11 675 71 AF \n",
- "2 2021-01-04 902 60 AF \n",
- "3 2020-12-28 1994 88 AF \n",
- "4 2020-12-21 740 111 AF \n",
- "... ... ... ... ... \n",
- "10000 2020-04-20 11 0 ZW \n",
- "10001 2020-04-13 5 2 ZW \n",
- "10002 2020-04-06 2 0 ZW \n",
- "10003 2020-03-30 5 1 ZW \n",
- "10004 2020-03-23 2 0 ZW \n",
- "\n",
- " notification_rate_per_100000_population_14-days \n",
- "0 3.24 \n",
- "1 4.15 \n",
- "2 7.61 \n",
- "3 7.19 \n",
- "4 6.56 \n",
- "... ... \n",
- "10000 0.11 \n",
- "10001 0.05 \n",
- "10002 0.05 \n",
- "10003 0.05 \n",
- "10004 0.00 \n",
- "\n",
- "[10005 rows x 5 columns]"
- ]
- },
- "execution_count": 329,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "raw_data[['report_date', 'cases_weekly', 'deaths_weekly', 'geo_id', 'notification_rate_per_100000_population_14-days']]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 330,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
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- " <th></th>\n",
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- " <th>geo_id</th>\n",
- " <th>country_territory_code</th>\n",
- " <th>population_2019</th>\n",
- " <th>continent</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>0</th>\n",
- " <td>Afghanistan</td>\n",
- " <td>AF</td>\n",
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- " <td>38041757.0</td>\n",
- " <td>Asia</td>\n",
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- " <th>1</th>\n",
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- " <tr>\n",
- " <th>2</th>\n",
- " <td>Afghanistan</td>\n",
- " <td>AF</td>\n",
- " <td>AFG</td>\n",
- " <td>38041757.0</td>\n",
- " <td>Asia</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>Afghanistan</td>\n",
- " <td>AF</td>\n",
- " <td>AFG</td>\n",
- " <td>38041757.0</td>\n",
- " <td>Asia</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>Afghanistan</td>\n",
- " <td>AF</td>\n",
- " <td>AFG</td>\n",
- " <td>38041757.0</td>\n",
- " <td>Asia</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>...</th>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>10000</th>\n",
- " <td>Zimbabwe</td>\n",
- " <td>ZW</td>\n",
- " <td>ZWE</td>\n",
- " <td>14645473.0</td>\n",
- " <td>Africa</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>10001</th>\n",
- " <td>Zimbabwe</td>\n",
- " <td>ZW</td>\n",
- " <td>ZWE</td>\n",
- " <td>14645473.0</td>\n",
- " <td>Africa</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>10002</th>\n",
- " <td>Zimbabwe</td>\n",
- " <td>ZW</td>\n",
- " <td>ZWE</td>\n",
- " <td>14645473.0</td>\n",
- " <td>Africa</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>10003</th>\n",
- " <td>Zimbabwe</td>\n",
- " <td>ZW</td>\n",
- " <td>ZWE</td>\n",
- " <td>14645473.0</td>\n",
- " <td>Africa</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>10004</th>\n",
- " <td>Zimbabwe</td>\n",
- " <td>ZW</td>\n",
- " <td>ZWE</td>\n",
- " <td>14645473.0</td>\n",
- " <td>Africa</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "<p>10005 rows × 5 columns</p>\n",
- "</div>"
- ],
- "text/plain": [
- " country_name geo_id country_territory_code population_2019 continent\n",
- "0 Afghanistan AF AFG 38041757.0 Asia\n",
- "1 Afghanistan AF AFG 38041757.0 Asia\n",
- "2 Afghanistan AF AFG 38041757.0 Asia\n",
- "3 Afghanistan AF AFG 38041757.0 Asia\n",
- "4 Afghanistan AF AFG 38041757.0 Asia\n",
- "... ... ... ... ... ...\n",
- "10000 Zimbabwe ZW ZWE 14645473.0 Africa\n",
- "10001 Zimbabwe ZW ZWE 14645473.0 Africa\n",
- "10002 Zimbabwe ZW ZWE 14645473.0 Africa\n",
- "10003 Zimbabwe ZW ZWE 14645473.0 Africa\n",
- "10004 Zimbabwe ZW ZWE 14645473.0 Africa\n",
- "\n",
- "[10005 rows x 5 columns]"
- ]
- },
- "execution_count": 330,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "raw_data[['country_name', 'geo_id', 'country_territory_code',\n",
- " 'population_2019', 'continent']]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 331,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "raw_data[['report_date', 'cases_weekly', 'deaths_weekly', 'geo_id', 'notification_rate_per_100000_population_14-days']].to_sql(\n",
- " 'weekly_cases',\n",
- " engine,\n",
- " if_exists='replace',\n",
- " index=False,\n",
- " chunksize=500,\n",
- " dtype={\n",
- " \"report_date\": Date,\n",
- " \"cases_weekly\": Integer,\n",
- " \"deaths_weekly\": Integer,\n",
- " \"geo_id\": String,\n",
- " \"notification_rate_per_100000_population_14-days\": Float\n",
- " }\n",
- ")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 332,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "raw_data[['country_name', 'geo_id', 'country_territory_code',\n",
- " 'population_2019', 'continent']].drop_duplicates().to_sql(\n",
- " 'countries',\n",
- " engine,\n",
- " if_exists='replace',\n",
- " index=False,\n",
- " chunksize=500,\n",
- " dtype={\n",
- " \"country_name\": Text,\n",
- " \"geo_id\": String,\n",
- " \"country_territory_code\": String,\n",
- " \"population_2019\": Integer,\n",
- " \"continent\": Text\n",
- " }\n",
- ")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 333,
- "metadata": {
- "Collapsed": "false",
- "scrolled": true
- },
- "outputs": [],
- "source": [
- "# %sql select geo_id from weekly_cases limit 10"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 334,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# %%sql alter table weekly_cases add primary key (geo_id, report_date);\n",
- "# alter table countries add primary key (geo_id);\n",
- "# alter table weekly_cases add foreign key (geo_id) references countries(geo_id);\n",
- "# alter table weekly_cases add culm_cases integer;\n",
- "# alter table weekly_cases add culm_deaths integer;"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 335,
- "metadata": {},
- "outputs": [],
- "source": [
- "with engine.connect() as connection:\n",
- " connection.execute('alter table weekly_cases add primary key (geo_id, report_date)')\n",
- " connection.execute('alter table countries add primary key (geo_id);')\n",
- " connection.execute('alter table weekly_cases add foreign key (geo_id) references countries(geo_id);')\n",
- " connection.execute('alter table weekly_cases add culm_cases integer;')\n",
- " connection.execute('alter table weekly_cases add culm_deaths integer;')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 336,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# %sql select report_date, cases_weekly, country_name from weekly_cases join countries using (geo_id) order by report_date desc limit 10"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 337,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# %sql select report_date, cases_weekly, country_name from weekly_cases join countries on weekly_cases.geo_id = countries.geo_id order by report_date desc limit 10"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 338,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "10 rows affected.\n"
- ]
- },
- {
- "data": {
- "text/html": [
- "<table>\n",
- " <thead>\n",
- " <tr>\n",
- " <th>report_date</th>\n",
- " <th>cases_weekly</th>\n",
- " <th>deaths_weekly</th>\n",
- " <th>geo_id</th>\n",
- " <th>notification_rate_per_100000_population_14-days</th>\n",
- " <th>culm_cases</th>\n",
- " <th>culm_deaths</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <td>2021-01-18</td>\n",
- " <td>557</td>\n",
- " <td>45</td>\n",
- " <td>AF</td>\n",
- " <td>3.24</td>\n",
- " <td>None</td>\n",
- " <td>None</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2021-01-11</td>\n",
- " <td>675</td>\n",
- " <td>71</td>\n",
- " <td>AF</td>\n",
- " <td>4.15</td>\n",
- " <td>None</td>\n",
- " <td>None</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2021-01-04</td>\n",
- " <td>902</td>\n",
- " <td>60</td>\n",
- " <td>AF</td>\n",
- " <td>7.61</td>\n",
- " <td>None</td>\n",
- " <td>None</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-12-28</td>\n",
- " <td>1994</td>\n",
- " <td>88</td>\n",
- " <td>AF</td>\n",
- " <td>7.19</td>\n",
- " <td>None</td>\n",
- " <td>None</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-12-21</td>\n",
- " <td>740</td>\n",
- " <td>111</td>\n",
- " <td>AF</td>\n",
- " <td>6.56</td>\n",
- " <td>None</td>\n",
- " <td>None</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-12-14</td>\n",
- " <td>1757</td>\n",
- " <td>71</td>\n",
- " <td>AF</td>\n",
- " <td>9.01</td>\n",
- " <td>None</td>\n",
- " <td>None</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-12-07</td>\n",
- " <td>1672</td>\n",
- " <td>137</td>\n",
- " <td>AF</td>\n",
- " <td>7.22</td>\n",
- " <td>None</td>\n",
- " <td>None</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-11-30</td>\n",
- " <td>1073</td>\n",
- " <td>68</td>\n",
- " <td>AF</td>\n",
- " <td>6.42</td>\n",
- " <td>None</td>\n",
- " <td>None</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-11-23</td>\n",
- " <td>1368</td>\n",
- " <td>69</td>\n",
- " <td>AF</td>\n",
- " <td>6.66</td>\n",
- " <td>None</td>\n",
- " <td>None</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-11-16</td>\n",
- " <td>1164</td>\n",
- " <td>61</td>\n",
- " <td>AF</td>\n",
- " <td>4.65</td>\n",
- " <td>None</td>\n",
- " <td>None</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>"
- ],
- "text/plain": [
- "[(datetime.date(2021, 1, 18), 557, 45, 'AF', 3.24, None, None),\n",
- " (datetime.date(2021, 1, 11), 675, 71, 'AF', 4.15, None, None),\n",
- " (datetime.date(2021, 1, 4), 902, 60, 'AF', 7.61, None, None),\n",
- " (datetime.date(2020, 12, 28), 1994, 88, 'AF', 7.19, None, None),\n",
- " (datetime.date(2020, 12, 21), 740, 111, 'AF', 6.56, None, None),\n",
- " (datetime.date(2020, 12, 14), 1757, 71, 'AF', 9.01, None, None),\n",
- " (datetime.date(2020, 12, 7), 1672, 137, 'AF', 7.22, None, None),\n",
- " (datetime.date(2020, 11, 30), 1073, 68, 'AF', 6.42, None, None),\n",
- " (datetime.date(2020, 11, 23), 1368, 69, 'AF', 6.66, None, None),\n",
- " (datetime.date(2020, 11, 16), 1164, 61, 'AF', 4.65, None, None)]"
- ]
- },
- "execution_count": 338,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "%sql select * from weekly_cases limit 10"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 339,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# %%sql\n",
- "# with culm as \n",
- "# (select report_date, geo_id,\n",
- "# sum(cases_weekly) over (partition by geo_id \n",
- "# order by report_date) as culm_data\n",
- "# from weekly_cases\n",
- "# )\n",
- "# update weekly_cases\n",
- "# set culm_cases = culm_data\n",
- "# from culm\n",
- "# where weekly_cases.report_date = culm.report_date and\n",
- "# weekly_cases.geo_id = culm.geo_id"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 340,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "query_string = '''with culm as \n",
- " (select report_date, geo_id,\n",
- " sum(cases_weekly) over (partition by geo_id \n",
- " order by report_date) as culm_data\n",
- " from weekly_cases\n",
- " )\n",
- "update weekly_cases\n",
- " set culm_cases = culm_data\n",
- " from culm\n",
- " where weekly_cases.report_date = culm.report_date and\n",
- " weekly_cases.geo_id = culm.geo_id'''\n",
- "with engine.connect() as connection:\n",
- " connection.execute(query_string)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 341,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# %%sql\n",
- "# with culm as \n",
- "# (select report_date, geo_id,\n",
- "# sum(deaths_weekly) over (partition by geo_id \n",
- "# order by report_date) as culm_data\n",
- "# from weekly_cases\n",
- "# )\n",
- "# update weekly_cases\n",
- "# set culm_deaths = culm_data\n",
- "# from culm\n",
- "# where weekly_cases.report_date = culm.report_date and\n",
- "# weekly_cases.geo_id = culm.geo_id"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 342,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "query_string = '''with culm as \n",
- " (select report_date, geo_id,\n",
- " sum(deaths_weekly) over (partition by geo_id \n",
- " order by report_date) as culm_data\n",
- " from weekly_cases\n",
- " )\n",
- "update weekly_cases\n",
- " set culm_deaths = culm_data\n",
- " from culm\n",
- " where weekly_cases.report_date = culm.report_date and\n",
- " weekly_cases.geo_id = culm.geo_id'''\n",
- "with engine.connect() as connection:\n",
- " connection.execute(query_string)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 343,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " % Total % Received % Xferd Average Speed Time Time Time Current\n",
- " Dload Upload Total Spent Left Speed\n",
- "100 26053 100 26053 0 0 54277 0 --:--:-- --:--:-- --:--:-- 54277\n"
- ]
- }
- ],
- "source": [
- "uk_query_string = (\n",
- "\"https://api.coronavirus.data.gov.uk/v2/data?areaType=overview&\"\n",
- "\"metric=covidOccupiedMVBeds&\"\n",
- "\"metric=newAdmissions&\"\n",
- "\"metric=newCasesBySpecimenDate&\"\n",
- "\"metric=hospitalCases&\"\n",
- "\"metric=newDeaths28DaysByPublishDate&\"\n",
- "\"format=csv\"\n",
- ")\n",
- "\n",
- "!curl \"$uk_query_string\" > uk_data.csv"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 344,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " % Total % Received % Xferd Average Speed Time Time Time Current\n",
- " Dload Upload Total Spent Left Speed\n",
- "100 20223 100 20223 0 0 78688 0 --:--:-- --:--:-- --:--:-- 78383\n"
- ]
- }
- ],
- "source": [
- "test_query_string = (\n",
- "\"https://api.coronavirus.data.gov.uk/v2/data?areaType=overview&\"\n",
- "\"metric=newPCRTestsByPublishDate&\"\n",
- "\"metric=newTestsByPublishDate&\"\n",
- "\"metric=newPillarOneTwoTestsByPublishDate&\"\n",
- "\"format=csv\"\n",
- ")\n",
- "!curl \"$test_query_string\" > test_data.csv"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 345,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# hospital_query_string = (\n",
- "# \"https://api.coronavirus.data.gov.uk/v2/data?areaType=overview&\"\n",
- "# \"metric=newAdmissions&\"\n",
- "# \"format=csv\"\n",
- "# )\n",
- "# !curl \"$hospital_query_string\" > hospital_admissions.csv"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 346,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# hospital_query_string = (\n",
- "# \"https://api.coronavirus.data.gov.uk/v1/data?\"\n",
- "# \"filters=areaName=United%2520Kingdom;areaType=overview&\"\n",
- "# \"structure=%7B%22date%22:%22date%22,%22areaName%22:%22areaName%22,%22areaType%22:%22areaType%22,\"\n",
- "# \"%22newAdmissions%22:%22newAdmissions%22,%22cumAdmissions%22:%22cumAdmissions%22%7D&format=csv\"\n",
- "# )\n",
- " \n",
- "# !curl \"$hospital_query_string\" | gunzip > hospital_admissions.csv"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 347,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
- " .dataframe tbody tr th:only-of-type {\n",
- " vertical-align: middle;\n",
- " }\n",
- "\n",
- " .dataframe tbody tr th {\n",
- " vertical-align: top;\n",
- " }\n",
- "\n",
- " .dataframe thead th {\n",
- " text-align: right;\n",
- " }\n",
- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>date</th>\n",
- " <th>areaType</th>\n",
- " <th>areaCode</th>\n",
- " <th>areaName</th>\n",
- " <th>covidOccupiedMVBeds</th>\n",
- " <th>newAdmissions</th>\n",
- " <th>newCasesBySpecimenDate</th>\n",
- " <th>hospitalCases</th>\n",
- " <th>newDeaths28DaysByPublishDate</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>0</th>\n",
- " <td>2021-01-26</td>\n",
- " <td>overview</td>\n",
- " <td>K02000001</td>\n",
- " <td>United Kingdom</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>1631</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>2021-01-25</td>\n",
- " <td>overview</td>\n",
- " <td>K02000001</td>\n",
- " <td>United Kingdom</td>\n",
- " <td>4032.0</td>\n",
- " <td>NaN</td>\n",
- " <td>4482.0</td>\n",
- " <td>NaN</td>\n",
- " <td>592</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>2021-01-24</td>\n",
- " <td>overview</td>\n",
- " <td>K02000001</td>\n",
- " <td>United Kingdom</td>\n",
- " <td>4077.0</td>\n",
- " <td>NaN</td>\n",
- " <td>14266.0</td>\n",
- " <td>37561.0</td>\n",
- " <td>610</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>2021-01-23</td>\n",
- " <td>overview</td>\n",
- " <td>K02000001</td>\n",
- " <td>United Kingdom</td>\n",
- " <td>4066.0</td>\n",
- " <td>NaN</td>\n",
- " <td>20495.0</td>\n",
- " <td>37266.0</td>\n",
- " <td>1348</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>2021-01-22</td>\n",
- " <td>overview</td>\n",
- " <td>K02000001</td>\n",
- " <td>United Kingdom</td>\n",
- " <td>4076.0</td>\n",
- " <td>3341.0</td>\n",
- " <td>29094.0</td>\n",
- " <td>38144.0</td>\n",
- " <td>1401</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>...</th>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>385</th>\n",
- " <td>2020-01-06</td>\n",
- " <td>overview</td>\n",
- " <td>K02000001</td>\n",
- " <td>United Kingdom</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>386</th>\n",
- " <td>2020-01-05</td>\n",
- " <td>overview</td>\n",
- " <td>K02000001</td>\n",
- " <td>United Kingdom</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>387</th>\n",
- " <td>2020-01-04</td>\n",
- " <td>overview</td>\n",
- " <td>K02000001</td>\n",
- " <td>United Kingdom</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>388</th>\n",
- " <td>2020-01-03</td>\n",
- " <td>overview</td>\n",
- " <td>K02000001</td>\n",
- " <td>United Kingdom</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>389</th>\n",
- " <td>2020-06-14</td>\n",
- " <td>overview</td>\n",
- " <td>K02000001</td>\n",
- " <td>United Kingdom</td>\n",
- " <td>393.0</td>\n",
- " <td>364.0</td>\n",
- " <td>821.0</td>\n",
- " <td>4907.0</td>\n",
- " <td>27</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "<p>390 rows × 9 columns</p>\n",
- "</div>"
- ],
- "text/plain": [
- " date areaType areaCode areaName covidOccupiedMVBeds \\\n",
- "0 2021-01-26 overview K02000001 United Kingdom NaN \n",
- "1 2021-01-25 overview K02000001 United Kingdom 4032.0 \n",
- "2 2021-01-24 overview K02000001 United Kingdom 4077.0 \n",
- "3 2021-01-23 overview K02000001 United Kingdom 4066.0 \n",
- "4 2021-01-22 overview K02000001 United Kingdom 4076.0 \n",
- ".. ... ... ... ... ... \n",
- "385 2020-01-06 overview K02000001 United Kingdom NaN \n",
- "386 2020-01-05 overview K02000001 United Kingdom NaN \n",
- "387 2020-01-04 overview K02000001 United Kingdom NaN \n",
- "388 2020-01-03 overview K02000001 United Kingdom NaN \n",
- "389 2020-06-14 overview K02000001 United Kingdom 393.0 \n",
- "\n",
- " newAdmissions newCasesBySpecimenDate hospitalCases \\\n",
- "0 NaN NaN NaN \n",
- "1 NaN 4482.0 NaN \n",
- "2 NaN 14266.0 37561.0 \n",
- "3 NaN 20495.0 37266.0 \n",
- "4 3341.0 29094.0 38144.0 \n",
- ".. ... ... ... \n",
- "385 NaN NaN NaN \n",
- "386 NaN NaN NaN \n",
- "387 NaN NaN NaN \n",
- "388 NaN NaN NaN \n",
- "389 364.0 821.0 4907.0 \n",
- "\n",
- " newDeaths28DaysByPublishDate \n",
- "0 1631 \n",
- "1 592 \n",
- "2 610 \n",
- "3 1348 \n",
- "4 1401 \n",
- ".. ... \n",
- "385 0 \n",
- "386 0 \n",
- "387 0 \n",
- "388 0 \n",
- "389 27 \n",
- "\n",
- "[390 rows x 9 columns]"
- ]
- },
- "execution_count": 347,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "uk_data = pd.read_csv('uk_data.csv', \n",
- " parse_dates=[0], dayfirst=True)\n",
- "uk_data"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 348,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
- " .dataframe tbody tr th:only-of-type {\n",
- " vertical-align: middle;\n",
- " }\n",
- "\n",
- " .dataframe tbody tr th {\n",
- " vertical-align: top;\n",
- " }\n",
- "\n",
- " .dataframe thead th {\n",
- " text-align: right;\n",
- " }\n",
- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>date</th>\n",
- " <th>areaType</th>\n",
- " <th>areaCode</th>\n",
- " <th>areaName</th>\n",
- " <th>newPCRTestsByPublishDate</th>\n",
- " <th>newTestsByPublishDate</th>\n",
- " <th>newPillarOneTwoTestsByPublishDate</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>0</th>\n",
- " <td>2021-01-25</td>\n",
- " <td>overview</td>\n",
- " <td>K02000001</td>\n",
- " <td>United Kingdom</td>\n",
- " <td>196510.0</td>\n",
- " <td>546734</td>\n",
- " <td>531104</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>2021-01-24</td>\n",
- " <td>overview</td>\n",
- " <td>K02000001</td>\n",
- " <td>United Kingdom</td>\n",
- " <td>262111.0</td>\n",
- " <td>412775</td>\n",
- " <td>394479</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>2021-01-23</td>\n",
- " <td>overview</td>\n",
- " <td>K02000001</td>\n",
- " <td>United Kingdom</td>\n",
- " <td>389209.0</td>\n",
- " <td>486425</td>\n",
- " <td>465231</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>2021-01-22</td>\n",
- " <td>overview</td>\n",
- " <td>K02000001</td>\n",
- " <td>United Kingdom</td>\n",
- " <td>401075.0</td>\n",
- " <td>631901</td>\n",
- " <td>608829</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>2021-01-21</td>\n",
- " <td>overview</td>\n",
- " <td>K02000001</td>\n",
- " <td>United Kingdom</td>\n",
- " <td>439408.0</td>\n",
- " <td>668989</td>\n",
- " <td>644537</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>...</th>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>296</th>\n",
- " <td>2020-04-03</td>\n",
- " <td>overview</td>\n",
- " <td>K02000001</td>\n",
- " <td>United Kingdom</td>\n",
- " <td>NaN</td>\n",
- " <td>14629</td>\n",
- " <td>14293</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>297</th>\n",
- " <td>2020-04-02</td>\n",
- " <td>overview</td>\n",
- " <td>K02000001</td>\n",
- " <td>United Kingdom</td>\n",
- " <td>NaN</td>\n",
- " <td>13623</td>\n",
- " <td>13457</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>298</th>\n",
- " <td>2020-04-01</td>\n",
- " <td>overview</td>\n",
- " <td>K02000001</td>\n",
- " <td>United Kingdom</td>\n",
- " <td>NaN</td>\n",
- " <td>11947</td>\n",
- " <td>11924</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>299</th>\n",
- " <td>2020-03-31</td>\n",
- " <td>overview</td>\n",
- " <td>K02000001</td>\n",
- " <td>United Kingdom</td>\n",
- " <td>NaN</td>\n",
- " <td>11896</td>\n",
- " <td>11896</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>300</th>\n",
- " <td>2020-06-14</td>\n",
- " <td>overview</td>\n",
- " <td>K02000001</td>\n",
- " <td>United Kingdom</td>\n",
- " <td>69529.0</td>\n",
- " <td>83965</td>\n",
- " <td>66688</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "<p>301 rows × 7 columns</p>\n",
- "</div>"
- ],
- "text/plain": [
- " date areaType areaCode areaName newPCRTestsByPublishDate \\\n",
- "0 2021-01-25 overview K02000001 United Kingdom 196510.0 \n",
- "1 2021-01-24 overview K02000001 United Kingdom 262111.0 \n",
- "2 2021-01-23 overview K02000001 United Kingdom 389209.0 \n",
- "3 2021-01-22 overview K02000001 United Kingdom 401075.0 \n",
- "4 2021-01-21 overview K02000001 United Kingdom 439408.0 \n",
- ".. ... ... ... ... ... \n",
- "296 2020-04-03 overview K02000001 United Kingdom NaN \n",
- "297 2020-04-02 overview K02000001 United Kingdom NaN \n",
- "298 2020-04-01 overview K02000001 United Kingdom NaN \n",
- "299 2020-03-31 overview K02000001 United Kingdom NaN \n",
- "300 2020-06-14 overview K02000001 United Kingdom 69529.0 \n",
- "\n",
- " newTestsByPublishDate newPillarOneTwoTestsByPublishDate \n",
- "0 546734 531104 \n",
- "1 412775 394479 \n",
- "2 486425 465231 \n",
- "3 631901 608829 \n",
- "4 668989 644537 \n",
- ".. ... ... \n",
- "296 14629 14293 \n",
- "297 13623 13457 \n",
- "298 11947 11924 \n",
- "299 11896 11896 \n",
- "300 83965 66688 \n",
- "\n",
- "[301 rows x 7 columns]"
- ]
- },
- "execution_count": 348,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "test_data = pd.read_csv('test_data.csv', \n",
- " parse_dates=[0], dayfirst=True)\n",
- "test_data"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 349,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "Index(['date', 'areaType', 'areaCode', 'areaName', 'newPCRTestsByPublishDate',\n",
- " 'newTestsByPublishDate', 'newPillarOneTwoTestsByPublishDate'],\n",
- " dtype='object')"
- ]
- },
- "execution_count": 349,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "test_data.columns"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 350,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "uk_data = uk_data.merge(test_data[['date', 'newPCRTestsByPublishDate',\n",
- " 'newTestsByPublishDate', 'newPillarOneTwoTestsByPublishDate']], how='outer', on='date')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 351,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "Index(['date', 'areaType', 'areaCode', 'areaName', 'covidOccupiedMVBeds',\n",
- " 'newAdmissions', 'newCasesBySpecimenDate', 'hospitalCases',\n",
- " 'newDeaths28DaysByPublishDate', 'newPCRTestsByPublishDate',\n",
- " 'newTestsByPublishDate', 'newPillarOneTwoTestsByPublishDate'],\n",
- " dtype='object')"
- ]
- },
- "execution_count": 351,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "uk_data.columns"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 352,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "uk_data.rename(\n",
- " columns={\n",
- " 'covidOccupiedMVBeds': 'ventilator_beds',\n",
- " 'newCasesBySpecimenDate': 'new_cases',\n",
- " 'hospitalCases': 'hospital_cases', \n",
- " 'newDeaths28DaysByPublishDate': 'new_deaths',\n",
- " 'newAdmissions': 'new_admissions',\n",
- " 'newPCRTestsByPublishDate': 'new_pcr_tests',\n",
- " 'newTestsByPublishDate': 'new_tests',\n",
- " 'newPillarOneTwoTestsByPublishDate': 'new_pillar_1_2_tests'\n",
- " }, inplace=True)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 353,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "date datetime64[ns]\n",
- "areaType object\n",
- "areaCode object\n",
- "areaName object\n",
- "ventilator_beds float64\n",
- "new_admissions float64\n",
- "new_cases float64\n",
- "hospital_cases float64\n",
- "new_deaths int64\n",
- "new_pcr_tests float64\n",
- "new_tests float64\n",
- "new_pillar_1_2_tests float64\n",
- "dtype: object"
- ]
- },
- "execution_count": 353,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "uk_data.dtypes"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 354,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "Index(['date', 'areaType', 'areaCode', 'areaName', 'ventilator_beds',\n",
- " 'new_admissions', 'new_cases', 'hospital_cases', 'new_deaths',\n",
- " 'new_pcr_tests', 'new_tests', 'new_pillar_1_2_tests'],\n",
- " dtype='object')"
- ]
- },
- "execution_count": 354,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- " uk_data.columns"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 355,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "uk_data[['date', \n",
- " 'hospital_cases', 'ventilator_beds',\n",
- " 'new_cases', 'new_deaths', \n",
- " 'hospital_cases', 'new_admissions',\n",
- " 'new_pcr_tests', 'new_tests', 'new_pillar_1_2_tests'\n",
- " ]].to_sql(\n",
- " 'uk_data',\n",
- " engine,\n",
- " if_exists='replace',\n",
- " index=False,\n",
- " chunksize=500,\n",
- " dtype={\n",
- " \"date\": Date,\n",
- " \"hospital_cases\": Integer,\n",
- " \"ventilator_beds\": Integer,\n",
- " \"new_cases\": Integer,\n",
- " \"hospital_cases\": Integer,\n",
- " \"new_deaths\": Integer,\n",
- " \"new_admissions\": Integer,\n",
- " 'new_pcr_tests': Integer, \n",
- " 'new_tests': Integer, \n",
- " 'new_pillar_1_2_tests': Integer\n",
- " }\n",
- ")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 356,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# %sql select * from uk_data order by date desc limit 10"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 424,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "query_string = '''drop table if exists uk_data_7;\n",
- "create table uk_data_7 \n",
- "(date date primary key,\n",
- " hospital_cases real,\n",
- " ventilator_beds real,\n",
- " new_cases real,\n",
- " new_deaths real,\n",
- " new_admissions real,\n",
- " new_pcr_tests real,\n",
- " new_tests real,\n",
- " new_pillar_1_2_tests real\n",
- ");'''\n",
- "\n",
- "with engine.connect() as connection:\n",
- " connection.execute(query_string)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 425,
- "metadata": {},
- "outputs": [],
- "source": [
- "update_string = '''with ownd as (\n",
- " select date,\n",
- " avg(hospital_cases) over wnd as w_hospital_cases,\n",
- " avg(ventilator_beds) over wnd as w_ventilator_beds,\n",
- " avg(new_cases) over wnd as w_new_cases,\n",
- " avg(new_deaths) over wnd as w_new_deaths,\n",
- " avg(new_admissions) over wnd as w_new_admissions,\n",
- " avg(new_pcr_tests) over wnd as w_new_pcr_tests,\n",
- " avg(new_tests) over wnd as w_new_tests,\n",
- " avg(new_pillar_1_2_tests) over wnd as w_new_pillar_1_2_tests,\n",
- " count(*) over wnd as w_size\n",
- " from uk_data\n",
- " window wnd as (\n",
- " order by uk_data.date\n",
- " rows between 3 preceding and 3 following\n",
- " )\n",
- ")\n",
- "insert into uk_data_7(date, \n",
- " hospital_cases, \n",
- " ventilator_beds, \n",
- " new_cases,\n",
- " new_deaths,\n",
- " new_admissions, \n",
- " new_pcr_tests, \n",
- " new_tests, \n",
- " new_pillar_1_2_tests\n",
- " )\n",
- "(select date,\n",
- " w_hospital_cases,\n",
- " w_ventilator_beds,\n",
- " w_new_cases,\n",
- " w_new_deaths,\n",
- " w_new_admissions,\n",
- " w_new_pcr_tests,\n",
- " w_new_tests,\n",
- " w_new_pillar_1_2_tests\n",
- " from ownd\n",
- " where w_size = 7\n",
- ")'''\n",
- "with engine.connect() as connection:\n",
- " connection.execute(update_string)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 398,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# %%sql insert into uk_data_7(date, ventilator_beds, new_cases, hospital_cases, new_deaths, new_admissions)\n",
- "# values (\n",
- "# select date, \n",
- "# avg(ventilator_beds) over (order by date rows between 6 preceding and current row)\n",
- "# from uk_data\n",
- "# )"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 399,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# query_string = '''insert into uk_data_7(date, hospital_cases)\n",
- "# select uk_data.date, \n",
- "# avg(uk_data.hospital_cases) over (order by uk_data.date rows between 3 preceding and 3 following) as hospital_cases\n",
- "# from uk_data'''\n",
- "# with engine.connect() as connection:\n",
- "# connection.execute(query_string) "
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 360,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# %%sql \n",
- "# with m7 as \n",
- "# (select uk_data.date as date7, \n",
- "# avg(uk_data.ventilator_beds) over (order by uk_data.date rows between 6 preceding and current row) as nc7\n",
- "# from uk_data\n",
- "# )\n",
- "# update uk_data_7\n",
- "# set ventilator_beds = nc7\n",
- "# from m7\n",
- "# where uk_data_7.date = m7.date7"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 361,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "390 rows affected.\n"
- ]
- },
- {
- "data": {
- "text/plain": [
- "[]"
- ]
- },
- "execution_count": 361,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "# %%sql\n",
- "# with m7 as \n",
- "# (select uk_data.date as date7, \n",
- "# avg(uk_data.ventilator_beds) over (order by uk_data.date rows between 3 preceding and 3 following) as nc7\n",
- "# from uk_data\n",
- "# )\n",
- "# update uk_data_7\n",
- "# set ventilator_beds = nc7\n",
- "# from m7\n",
- "# where uk_data_7.date = m7.date7"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 362,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "390 rows affected.\n"
- ]
- },
- {
- "data": {
- "text/plain": [
- "[]"
- ]
- },
- "execution_count": 362,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "# %%sql\n",
- "# with m7 as \n",
- "# (select uk_data.date as date7, \n",
- "# avg(uk_data.new_cases) over (order by uk_data.date rows between 3 preceding and 3 following) as nc7\n",
- "# from uk_data\n",
- "# )\n",
- "# update uk_data_7\n",
- "# set new_cases = nc7\n",
- "# from m7\n",
- "# where uk_data_7.date = m7.date7"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 363,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "390 rows affected.\n"
- ]
- },
- {
- "data": {
- "text/plain": [
- "[]"
- ]
- },
- "execution_count": 363,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "# %%sql\n",
- "# with m7 as \n",
- "# (select uk_data.date as date7, \n",
- "# avg(uk_data.hospital_cases) over (order by uk_data.date rows between 3 preceding and 3 following) as d7\n",
- "# from uk_data\n",
- "# )\n",
- "# update uk_data_7\n",
- "# set hospital_cases = d7\n",
- "# from m7\n",
- "# where uk_data_7.date = m7.date7"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 364,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "390 rows affected.\n"
- ]
- },
- {
- "data": {
- "text/plain": [
- "[]"
- ]
- },
- "execution_count": 364,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "# %%sql\n",
- "# with m7 as \n",
- "# (select uk_data.date as date7, \n",
- "# avg(uk_data.new_deaths) over (order by uk_data.date rows between 3 preceding and 3 following) as d7\n",
- "# from uk_data\n",
- "# )\n",
- "# update uk_data_7\n",
- "# set new_deaths = d7\n",
- "# from m7\n",
- "# where uk_data_7.date = m7.date7"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 365,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "390 rows affected.\n"
- ]
- },
- {
- "data": {
- "text/plain": [
- "[]"
- ]
- },
- "execution_count": 365,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "# %%sql\n",
- "# with m7 as \n",
- "# (select uk_data.date as date7, \n",
- "# avg(uk_data.new_admissions) over (order by uk_data.date rows between 3 preceding and 3 following) as d7\n",
- "# from uk_data\n",
- "# )\n",
- "# update uk_data_7\n",
- "# set new_admissions = d7\n",
- "# from m7\n",
- "# where uk_data_7.date = m7.date7"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 366,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "390 rows affected.\n"
- ]
- },
- {
- "data": {
- "text/plain": [
- "[]"
- ]
- },
- "execution_count": 366,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "# %%sql\n",
- "# with m7 as \n",
- "# (select uk_data.date as date7, \n",
- "# avg(uk_data.new_pcr_tests) over (order by uk_data.date rows between 3 preceding and 3 following) as d7\n",
- "# from uk_data\n",
- "# )\n",
- "# update uk_data_7\n",
- "# set new_pcr_tests = d7\n",
- "# from m7\n",
- "# where uk_data_7.date = m7.date7"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 367,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "390 rows affected.\n"
- ]
- },
- {
- "data": {
- "text/plain": [
- "[]"
- ]
- },
- "execution_count": 367,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "# %%sql\n",
- "# with m7 as \n",
- "# (select uk_data.date as date7, \n",
- "# avg(uk_data.new_tests) over (order by uk_data.date rows between 3 preceding and 3 following) as d7\n",
- "# from uk_data\n",
- "# )\n",
- "# update uk_data_7\n",
- "# set new_tests = d7\n",
- "# from m7\n",
- "# where uk_data_7.date = m7.date7"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 309,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# %%sql\n",
- "# with m7 as \n",
- "# (select uk_data.date as date7, \n",
- "# avg(uk_data.new_pillar_1_2_tests) over (order by uk_data.date rows between 3 preceding and 3 following) as d7\n",
- "# from uk_data\n",
- "# )\n",
- "# update uk_data_7\n",
- "# set new_pillar_1_2_tests = d7\n",
- "# from m7\n",
- "# where uk_data_7.date = m7.date7"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 310,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "0 rows affected.\n"
- ]
- },
- {
- "data": {
- "text/plain": [
- "[]"
- ]
- },
- "execution_count": 310,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "# %%sql\n",
- "# with wnd as\n",
- "# ( select date, \n",
- "# avg(new_pillar_1_2_tests)\n",
- "# over (order by uk_data.date rows between 3 preceding and 3 following) as a_new_pillar_1_2_tests\n",
- "# from uk_data\n",
- "# )\n",
- "# update uk_data_7\n",
- "# set new_pillar_1_2_tests = wnd.a_new_pillar_1_2_tests\n",
- "# from wnd\n",
- "# where uk_data_7.date = wnd.date\n",
- "# and (select count(*) from wnd) = 7"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 379,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "10 rows affected.\n"
- ]
- },
- {
- "data": {
- "text/html": [
- "<table>\n",
- " <thead>\n",
- " <tr>\n",
- " <th>date</th>\n",
- " <th>new_pillar_1_2_tests</th>\n",
- " <th>a_new_pillar_1_2_tests</th>\n",
- " <th>a_count</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <td>2021-01-26</td>\n",
- " <td>None</td>\n",
- " <td>463604.666666666667</td>\n",
- " <td>3</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2021-01-25</td>\n",
- " <td>None</td>\n",
- " <td>499910.750000000000</td>\n",
- " <td>4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2021-01-24</td>\n",
- " <td>None</td>\n",
- " <td>528836.000000000000</td>\n",
- " <td>5</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2021-01-23</td>\n",
- " <td>None</td>\n",
- " <td>543566.833333333333</td>\n",
- " <td>6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2021-01-22</td>\n",
- " <td>None</td>\n",
- " <td>545780.285714285714</td>\n",
- " <td>7</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2021-01-21</td>\n",
- " <td>None</td>\n",
- " <td>546626.571428571429</td>\n",
- " <td>7</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2021-01-20</td>\n",
- " <td>None</td>\n",
- " <td>546806.285714285714</td>\n",
- " <td>7</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2021-01-19</td>\n",
- " <td>None</td>\n",
- " <td>547402.428571428571</td>\n",
- " <td>7</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2021-01-18</td>\n",
- " <td>None</td>\n",
- " <td>542617.857142857143</td>\n",
- " <td>7</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2021-01-17</td>\n",
- " <td>None</td>\n",
- " <td>545088.142857142857</td>\n",
- " <td>7</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>"
- ],
- "text/plain": [
- "[(datetime.date(2021, 1, 26), None, Decimal('463604.666666666667'), 3),\n",
- " (datetime.date(2021, 1, 25), None, Decimal('499910.750000000000'), 4),\n",
- " (datetime.date(2021, 1, 24), None, Decimal('528836.000000000000'), 5),\n",
- " (datetime.date(2021, 1, 23), None, Decimal('543566.833333333333'), 6),\n",
- " (datetime.date(2021, 1, 22), None, Decimal('545780.285714285714'), 7),\n",
- " (datetime.date(2021, 1, 21), None, Decimal('546626.571428571429'), 7),\n",
- " (datetime.date(2021, 1, 20), None, Decimal('546806.285714285714'), 7),\n",
- " (datetime.date(2021, 1, 19), None, Decimal('547402.428571428571'), 7),\n",
- " (datetime.date(2021, 1, 18), None, Decimal('542617.857142857143'), 7),\n",
- " (datetime.date(2021, 1, 17), None, Decimal('545088.142857142857'), 7)]"
- ]
- },
- "execution_count": 379,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "# %%sql\n",
- "# with wnd as\n",
- "# ( select date, \n",
- "# avg(new_pillar_1_2_tests)\n",
- "# over (order by uk_data.date rows between 3 preceding and 3 following) as a_new_pillar_1_2_tests,\n",
- "# count(new_pillar_1_2_tests)\n",
- "# over (order by uk_data.date rows between 3 preceding and 3 following) as a_count\n",
- "# from uk_data\n",
- "# )\n",
- "# select uk_data_7.date, new_pillar_1_2_tests, wnd.a_new_pillar_1_2_tests, wnd.a_count\n",
- "# from uk_data_7, wnd\n",
- "# where uk_data_7.date = wnd.date\n",
- "# order by uk_data_7.date desc limit 10\n",
- " \n",
- "# select date, \n",
- "# count(*) over wnd as w_size\n",
- "# from uk_data\n",
- "# window wnd as (\n",
- "# order by uk_data.date\n",
- "# rows between 3 preceding and 3 following\n",
- "# );"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 401,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# %%sql\n",
- "# select date, \n",
- "# count(*) over wnd as w_size\n",
- "# from uk_data\n",
- "# window wnd as (\n",
- "# order by uk_data.date\n",
- "# rows between 3 preceding and 3 following\n",
- "# )\n",
- "# order by date desc limit 10"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 407,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "0 rows affected.\n"
- ]
- },
- {
- "data": {
- "text/plain": [
- "[]"
- ]
- },
- "execution_count": 407,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "# %%sql\n",
- "# with ownd as (\n",
- "# select date,\n",
- "# avg(hospital_cases) over wnd as w_hospital_cases,\n",
- "# avg(ventilator_beds) over wnd as w_ventilator_beds,\n",
- "# avg(new_cases) over wnd as w_new_cases,\n",
- "# avg(new_deaths) over wnd as w_new_deaths,\n",
- "# avg(new_admissions) over wnd as w_new_admissions,\n",
- "# avg(new_pcr_tests) over wnd as w_new_pcr_tests,\n",
- "# avg(new_tests) over wnd as w_new_tests,\n",
- "# avg(new_pillar_1_2_tests) over wnd as w_new_pillar_1_2_tests,\n",
- "# count(*) over wnd as w_size\n",
- "# from uk_data\n",
- "# window wnd as (\n",
- "# order by uk_data.date\n",
- "# rows between 3 preceding and 3 following\n",
- "# ))\n",
- "# insert into uk_data_7(date, \n",
- "# hospital_cases, \n",
- "# ventilator_beds, \n",
- "# new_cases,\n",
- "# new_deaths,\n",
- "# new_admissions, \n",
- "# new_pcr_tests, \n",
- "# new_tests, \n",
- "# new_pillar_1_2_tests\n",
- "# )\n",
- "# (select date,\n",
- "# avg(hospital_cases) over wnd as w_hospital_cases,\n",
- "# avg(ventilator_beds) over wnd as w_ventilator_beds,\n",
- "# avg(new_cases) over wnd as w_new_cases,\n",
- "# avg(new_deaths) over wnd as w_new_deaths,\n",
- "# avg(new_admissions) over wnd as w_new_admissions,\n",
- "# avg(new_pcr_tests) over wnd as w_new_pcr_tests,\n",
- "# avg(new_tests) over wnd as w_new_tests,\n",
- "# avg(new_pillar_1_2_tests) over wnd as w_new_pillar_1_2_tests,\n",
- "# count(*) over wnd as w_size\n",
- "# from uk_data\n",
- "# window wnd as (\n",
- "# order by uk_data.date\n",
- "# rows between 3 preceding and 3 following\n",
- "# )\n",
- "# )\n",
- "# set date = ownd.date,\n",
- "# hospital_cases = w_hospital_cases,\n",
- "# ventilator_beds = w_ventilator_beds,\n",
- "# new_cases = w_new_cases,\n",
- "# new_deaths = w_new_deaths,\n",
- "# new_admissions = w_new_admissions,\n",
- "# new_pcr_tests = w_new_pcr_tests,\n",
- "# new_tests = w_new_tests,\n",
- "# new_pillar_1_2_tests = w_new_pillar_1_2_tests\n",
- "# from ownd\n",
- "# where w_size = 7"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 417,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "384 rows affected.\n"
- ]
- },
- {
- "data": {
- "text/plain": [
- "[]"
- ]
- },
- "execution_count": 417,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "# %%sql\n",
- "# with ownd as (\n",
- "# select date,\n",
- "# avg(hospital_cases) over wnd as w_hospital_cases,\n",
- "# avg(ventilator_beds) over wnd as w_ventilator_beds,\n",
- "# avg(new_cases) over wnd as w_new_cases,\n",
- "# avg(new_deaths) over wnd as w_new_deaths,\n",
- "# avg(new_admissions) over wnd as w_new_admissions,\n",
- "# avg(new_pcr_tests) over wnd as w_new_pcr_tests,\n",
- "# avg(new_tests) over wnd as w_new_tests,\n",
- "# avg(new_pillar_1_2_tests) over wnd as w_new_pillar_1_2_tests,\n",
- "# count(*) over wnd as w_size\n",
- "# from uk_data\n",
- "# window wnd as (\n",
- "# order by uk_data.date\n",
- "# rows between 3 preceding and 3 following\n",
- "# )\n",
- "# )\n",
- "# insert into uk_data_7(date, \n",
- "# hospital_cases, \n",
- "# ventilator_beds, \n",
- "# new_cases,\n",
- "# new_deaths,\n",
- "# new_admissions, \n",
- "# new_pcr_tests, \n",
- "# new_tests, \n",
- "# new_pillar_1_2_tests\n",
- "# )\n",
- "# (select date,\n",
- "# w_hospital_cases,\n",
- "# w_ventilator_beds,\n",
- "# w_new_cases,\n",
- "# w_new_deaths,\n",
- "# w_new_admissions,\n",
- "# w_new_pcr_tests,\n",
- "# w_new_tests,\n",
- "# w_new_pillar_1_2_tests\n",
- "# from ownd\n",
- "# where w_size = 7\n",
- "# )"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 427,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "10 rows affected.\n"
- ]
- },
- {
- "data": {
- "text/html": [
- "<table>\n",
- " <thead>\n",
- " <tr>\n",
- " <th>date</th>\n",
- " <th>hospital_cases</th>\n",
- " <th>ventilator_beds</th>\n",
- " <th>new_cases</th>\n",
- " <th>new_deaths</th>\n",
- " <th>new_admissions</th>\n",
- " <th>new_pcr_tests</th>\n",
- " <th>new_tests</th>\n",
- " <th>new_pillar_1_2_tests</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <td>2021-01-23</td>\n",
- " <td>37915.6</td>\n",
- " <td>4027.3333</td>\n",
- " <td>22463.666</td>\n",
- " <td>1241.7142</td>\n",
- " <td>3651.6667</td>\n",
- " <td>353735.34</td>\n",
- " <td>565312.3</td>\n",
- " <td>543566.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2021-01-22</td>\n",
- " <td>38057.168</td>\n",
- " <td>4015.8572</td>\n",
- " <td>24870.428</td>\n",
- " <td>1238.7142</td>\n",
- " <td>3771.75</td>\n",
- " <td>354323.16</td>\n",
- " <td>567830.3</td>\n",
- " <td>545780.3</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2021-01-21</td>\n",
- " <td>38217.715</td>\n",
- " <td>3999.2856</td>\n",
- " <td>30620.428</td>\n",
- " <td>1239.7142</td>\n",
- " <td>3828.2</td>\n",
- " <td>363750.16</td>\n",
- " <td>569716.7</td>\n",
- " <td>546626.56</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2021-01-20</td>\n",
- " <td>38294.0</td>\n",
- " <td>3969.8572</td>\n",
- " <td>32707.428</td>\n",
- " <td>1248.4286</td>\n",
- " <td>3811.0</td>\n",
- " <td>372037.44</td>\n",
- " <td>570458.1</td>\n",
- " <td>546806.3</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2021-01-19</td>\n",
- " <td>38348.43</td>\n",
- " <td>3939.5715</td>\n",
- " <td>34143.285</td>\n",
- " <td>1240.8572</td>\n",
- " <td>3825.8572</td>\n",
- " <td>374771.16</td>\n",
- " <td>571336.56</td>\n",
- " <td>547402.44</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2021-01-18</td>\n",
- " <td>38338.145</td>\n",
- " <td>3898.5715</td>\n",
- " <td>35766.57</td>\n",
- " <td>1223.5714</td>\n",
- " <td>3872.8572</td>\n",
- " <td>377019.28</td>\n",
- " <td>566901.1</td>\n",
- " <td>542617.9</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2021-01-17</td>\n",
- " <td>38292.285</td>\n",
- " <td>3857.4285</td>\n",
- " <td>37337.855</td>\n",
- " <td>1217.5714</td>\n",
- " <td>3939.0</td>\n",
- " <td>389469.84</td>\n",
- " <td>571242.56</td>\n",
- " <td>545088.1</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2021-01-16</td>\n",
- " <td>38119.855</td>\n",
- " <td>3810.7144</td>\n",
- " <td>38824.0</td>\n",
- " <td>1181.0</td>\n",
- " <td>3967.2856</td>\n",
- " <td>395066.72</td>\n",
- " <td>569445.0</td>\n",
- " <td>541938.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2021-01-15</td>\n",
- " <td>37858.715</td>\n",
- " <td>3746.2856</td>\n",
- " <td>40268.57</td>\n",
- " <td>1128.5714</td>\n",
- " <td>4029.2856</td>\n",
- " <td>403526.72</td>\n",
- " <td>570188.7</td>\n",
- " <td>540199.9</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2021-01-14</td>\n",
- " <td>37505.57</td>\n",
- " <td>3667.2856</td>\n",
- " <td>41989.145</td>\n",
- " <td>1118.5714</td>\n",
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- " <td>537417.1</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>"
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- "execution_count": 427,
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- "source": [
- "%sql select * from uk_data_7 order by date desc limit 10"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 428,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "10 rows affected.\n"
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- " <th>new_admissions</th>\n",
- " <th>new_pcr_tests</th>\n",
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- ]
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- "execution_count": 428,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "%sql select * from uk_data order by date desc limit 10"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": []
- }
- ],
- "metadata": {
- "jupytext": {
- "formats": "ipynb,md"
- },
- "kernelspec": {
- "display_name": "Python 3",
- "language": "python",
- "name": "python3"
- },
- "language_info": {
- "codemirror_mode": {
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- "version": 3
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+++ /dev/null
-{
- "cells": [
- {
- "cell_type": "markdown",
- "metadata": {
- "Collapsed": "false"
- },
- "source": [
- "Data from:\n",
- "\n",
- "* [Office of National Statistics](https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/datasets/weeklyprovisionalfiguresondeathsregisteredinenglandandwales) (Endland and Wales) Weeks start on a Saturday.\n",
- "* [Northern Ireland Statistics and Research Agency](https://www.nisra.gov.uk/publications/weekly-deaths) (Northern Ireland). Weeks start on a Saturday. Note that the week numbers don't match the England and Wales data.\n",
- "* [National Records of Scotland](https://www.nrscotland.gov.uk/statistics-and-data/statistics/statistics-by-theme/vital-events/general-publications/weekly-and-monthly-data-on-births-and-deaths/weekly-data-on-births-and-deaths) (Scotland). Note that Scotland uses ISO8601 week numbers, which start on a Monday.\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 392,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "The sql extension is already loaded. To reload it, use:\n",
- " %reload_ext sql\n"
- ]
- }
- ],
- "source": [
- "import itertools\n",
- "import collections\n",
- "import json\n",
- "import pandas as pd\n",
- "import numpy as np\n",
- "from scipy.stats import gmean\n",
- "import datetime\n",
- "\n",
- "import matplotlib as mpl\n",
- "import matplotlib.pyplot as plt\n",
- "%matplotlib inline\n",
- "\n",
- "from sqlalchemy.types import Integer, Text, String, DateTime, Float\n",
- "from sqlalchemy import create_engine\n",
- "%load_ext sql"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 393,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "connection_string = 'postgresql://covid:3NbjJTkT63@localhost/covid'"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 394,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "'Connected: covid@covid'"
- ]
- },
- "execution_count": 394,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "%sql $connection_string"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 395,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "conn = create_engine(connection_string)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 396,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "england_wales_filename = 'uk-deaths-data/publishedweek532020.xlsx'"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 397,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "Done.\n",
- "Done.\n"
- ]
- },
- {
- "data": {
- "text/plain": [
- "[]"
- ]
- },
- "execution_count": 397,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "%%sql\n",
- "drop table if exists all_causes_deaths;\n",
- "create table all_causes_deaths (\n",
- " week integer,\n",
- " year integer,\n",
- " date_up_to date,\n",
- " nation varchar(20),\n",
- " deaths integer,\n",
- " CONSTRAINT week_nation PRIMARY KEY(year, week, nation)\n",
- ");"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 525,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
- " .dataframe tbody tr th:only-of-type {\n",
- " vertical-align: middle;\n",
- " }\n",
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- " .dataframe tbody tr th {\n",
- " vertical-align: top;\n",
- " }\n",
- "\n",
- " .dataframe thead th {\n",
- " text-align: right;\n",
- " }\n",
- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>total_2015</th>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>(Registration Week, Unnamed: 0_level_1)</th>\n",
- " <th></th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>49</th>\n",
- " <td>294</td>\n",
- " </tr>\n",
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- " <th>50</th>\n",
- " <td>343</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>51</th>\n",
- " <td>301</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>52</th>\n",
- " <td>232</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>53</th>\n",
- " <td>232</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " total_2015\n",
- "(Registration Week, Unnamed: 0_level_1) \n",
- "49 294\n",
- "50 343\n",
- "51 301\n",
- "52 232\n",
- "53 232"
- ]
- },
- "execution_count": 525,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "raw_data_2015 = pd.read_csv('uk-deaths-data/Weekly_Deaths_NI_2015.csv', \n",
- " parse_dates=[1, 2], dayfirst=True,\n",
- "# index_col=0,\n",
- " header=[0, 1]\n",
- " )\n",
- "dh15i = raw_data_2015.iloc[:, [0, 3]]\n",
- "dh15i.set_index(dh15i.columns[0], inplace=True)\n",
- "dh15i.columns = ['total_2015']\n",
- "dh15i.tail()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 399,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
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- "<table border=\"1\" class=\"dataframe\">\n",
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- " <th></th>\n",
- " <th>Registration Week</th>\n",
- " <th>Week Starts (Saturday)</th>\n",
- " <th>Week Ends (Friday)</th>\n",
- " <th>Total Number of Deaths Registered in Week (2015P)</th>\n",
- " <th>Average number of deaths registered in corresponding week in previous 5 years (2010 to 2014P)</th>\n",
- " <th>Range</th>\n",
- " <th>Unnamed: 6_level_0</th>\n",
- " </tr>\n",
- " <tr>\n",
- " <th></th>\n",
- " <th>Unnamed: 0_level_1</th>\n",
- " <th>Unnamed: 1_level_1</th>\n",
- " <th>Unnamed: 2_level_1</th>\n",
- " <th>Unnamed: 3_level_1</th>\n",
- " <th>Unnamed: 4_level_1</th>\n",
- " <th>Minimum in Previous 5 years</th>\n",
- " <th>Maximum in Previous 5 years</th>\n",
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- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>0</th>\n",
- " <td>1</td>\n",
- " <td>2014-12-29</td>\n",
- " <td>2015-01-02</td>\n",
- " <td>319</td>\n",
- " <td>317.2</td>\n",
- " <td>248</td>\n",
- " <td>372</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>2</td>\n",
- " <td>2015-01-03</td>\n",
- " <td>2015-01-09</td>\n",
- " <td>373</td>\n",
- " <td>384.0</td>\n",
- " <td>344</td>\n",
- " <td>421</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>3</td>\n",
- " <td>2015-01-10</td>\n",
- " <td>2015-01-16</td>\n",
- " <td>383</td>\n",
- " <td>347.8</td>\n",
- " <td>319</td>\n",
- " <td>373</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>4</td>\n",
- " <td>2015-01-17</td>\n",
- " <td>2015-01-23</td>\n",
- " <td>397</td>\n",
- " <td>319.0</td>\n",
- " <td>282</td>\n",
- " <td>353</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>5</td>\n",
- " <td>2015-01-24</td>\n",
- " <td>2015-01-30</td>\n",
- " <td>374</td>\n",
- " <td>309.2</td>\n",
- " <td>284</td>\n",
- " <td>336</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
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- " Registration Week Week Starts (Saturday) Week Ends (Friday) \\\n",
- " Unnamed: 0_level_1 Unnamed: 1_level_1 Unnamed: 2_level_1 \n",
- "0 1 2014-12-29 2015-01-02 \n",
- "1 2 2015-01-03 2015-01-09 \n",
- "2 3 2015-01-10 2015-01-16 \n",
- "3 4 2015-01-17 2015-01-23 \n",
- "4 5 2015-01-24 2015-01-30 \n",
- "\n",
- " Total Number of Deaths Registered in Week (2015P) \\\n",
- " Unnamed: 3_level_1 \n",
- "0 319 \n",
- "1 373 \n",
- "2 383 \n",
- "3 397 \n",
- "4 374 \n",
- "\n",
- " Average number of deaths registered in corresponding week in previous 5 years (2010 to 2014P) \\\n",
- " Unnamed: 4_level_1 \n",
- "0 317.2 \n",
- "1 384.0 \n",
- "2 347.8 \n",
- "3 319.0 \n",
- "4 309.2 \n",
- "\n",
- " Range Unnamed: 6_level_0 \n",
- " Minimum in Previous 5 years Maximum in Previous 5 years \n",
- "0 248 372 \n",
- "1 344 421 \n",
- "2 319 373 \n",
- "3 282 353 \n",
- "4 284 336 "
- ]
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- "execution_count": 399,
- "metadata": {},
- "output_type": "execute_result"
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- ],
- "source": [
- "raw_data_2015.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 400,
- "metadata": {
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- "outputs": [
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- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>3</td>\n",
- " <td>2015-01-16</td>\n",
- " <td>383</td>\n",
- " <td>2015</td>\n",
- " <td>Northern Ireland</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>4</td>\n",
- " <td>2015-01-23</td>\n",
- " <td>397</td>\n",
- " <td>2015</td>\n",
- " <td>Northern Ireland</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>5</td>\n",
- " <td>2015-01-30</td>\n",
- " <td>374</td>\n",
- " <td>2015</td>\n",
- " <td>Northern Ireland</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " week date_up_to deaths year nation\n",
- "0 1 2015-01-02 319 2015 Northern Ireland\n",
- "1 2 2015-01-09 373 2015 Northern Ireland\n",
- "2 3 2015-01-16 383 2015 Northern Ireland\n",
- "3 4 2015-01-23 397 2015 Northern Ireland\n",
- "4 5 2015-01-30 374 2015 Northern Ireland"
- ]
- },
- "execution_count": 400,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "rd = raw_data_2015.iloc[:, [0, 2, 3]].droplevel(1, axis=1).rename(\n",
- " columns={'Week Ends (Friday)': 'date_up_to', 'Total Number of Deaths Registered in Week (2015P)': 'deaths',\n",
- " 'Registration Week': 'week'}\n",
- " )\n",
- "rd['year'] = 2015\n",
- "rd['nation'] = 'Northern Ireland'\n",
- "rd.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 401,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "rd.to_sql(\n",
- " 'all_causes_deaths',\n",
- " conn,\n",
- " if_exists='append',\n",
- " index=False)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 402,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "10 rows affected.\n"
- ]
- },
- {
- "data": {
- "text/html": [
- "<table>\n",
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- " </tr>\n",
- " <tr>\n",
- " <td>7</td>\n",
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- " <td>2015-02-13</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>328</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>8</td>\n",
- " <td>2015</td>\n",
- " <td>2015-02-20</td>\n",
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- " <td>317</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>9</td>\n",
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- " <td>2015-02-27</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>401</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>10</td>\n",
- " <td>2015</td>\n",
- " <td>2015-03-06</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>346</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>"
- ],
- "text/plain": [
- "[(1, 2015, datetime.date(2015, 1, 2), 'Northern Ireland', 319),\n",
- " (2, 2015, datetime.date(2015, 1, 9), 'Northern Ireland', 373),\n",
- " (3, 2015, datetime.date(2015, 1, 16), 'Northern Ireland', 383),\n",
- " (4, 2015, datetime.date(2015, 1, 23), 'Northern Ireland', 397),\n",
- " (5, 2015, datetime.date(2015, 1, 30), 'Northern Ireland', 374),\n",
- " (6, 2015, datetime.date(2015, 2, 6), 'Northern Ireland', 347),\n",
- " (7, 2015, datetime.date(2015, 2, 13), 'Northern Ireland', 328),\n",
- " (8, 2015, datetime.date(2015, 2, 20), 'Northern Ireland', 317),\n",
- " (9, 2015, datetime.date(2015, 2, 27), 'Northern Ireland', 401),\n",
- " (10, 2015, datetime.date(2015, 3, 6), 'Northern Ireland', 346)]"
- ]
- },
- "execution_count": 402,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "%sql select * from all_causes_deaths limit 10"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 526,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
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- " total_2016\n",
- "(Registration Week, Unnamed: 0_level_1) \n",
- "48 303\n",
- "49 322\n",
- "50 324\n",
- "51 360\n",
- "52 199"
- ]
- },
- "execution_count": 526,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "raw_data_2016 = pd.read_csv('uk-deaths-data/Weekly_Deaths_NI_2016.csv', \n",
- " parse_dates=[1, 2], dayfirst=True,\n",
- "# index_col=0,\n",
- " header=[0, 1]\n",
- " )\n",
- "raw_data_2016.head()\n",
- "# dh16i = raw_data_2016.iloc[:, [2]]\n",
- "# dh16i.columns = ['total_2016']\n",
- "# # dh16i.head()\n",
- "dh16i = raw_data_2016.iloc[:, [0, 3]]\n",
- "dh16i.set_index(dh16i.columns[0], inplace=True)\n",
- "dh16i.columns = ['total_2016']\n",
- "dh16i.tail()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 404,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/html": [
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- " <td>424</td>\n",
- " <td>2016</td>\n",
- " <td>Northern Ireland</td>\n",
- " </tr>\n",
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- " <td>2016-01-15</td>\n",
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- " <td>2016-01-22</td>\n",
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- " <td>4</td>\n",
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- " <td>355</td>\n",
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- " <td>Northern Ireland</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>5</td>\n",
- " <td>2016-02-05</td>\n",
- " <td>314</td>\n",
- " <td>2016</td>\n",
- " <td>Northern Ireland</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " week date_up_to deaths year nation\n",
- "0 1 2016-01-08 424 2016 Northern Ireland\n",
- "1 2 2016-01-15 348 2016 Northern Ireland\n",
- "2 3 2016-01-22 372 2016 Northern Ireland\n",
- "3 4 2016-01-29 355 2016 Northern Ireland\n",
- "4 5 2016-02-05 314 2016 Northern Ireland"
- ]
- },
- "execution_count": 404,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "rd = raw_data_2016.iloc[:, [0, 2, 3]].droplevel(1, axis=1).rename(\n",
- " columns={'Week Ends (Friday)': 'date_up_to', 'Total Number of Deaths Registered in Week (2016P)': 'deaths',\n",
- " 'Registration Week': 'week'}\n",
- " )\n",
- "rd['year'] = 2016\n",
- "rd['nation'] = 'Northern Ireland'\n",
- "rd.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 405,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "rd.to_sql(\n",
- " 'all_causes_deaths',\n",
- " conn,\n",
- " if_exists='append',\n",
- " index=False)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 406,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "2 rows affected.\n"
- ]
- },
- {
- "data": {
- "text/html": [
- "<table>\n",
- " <thead>\n",
- " <tr>\n",
- " <th>year</th>\n",
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- " </tr>\n",
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- "%sql select year, nation, count(date_up_to) from all_causes_deaths group by (year, nation)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 527,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
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- " total_2017\n",
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- "48 355\n",
- "49 324\n",
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- "51 354\n",
- "52 249"
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- "execution_count": 527,
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- ],
- "source": [
- "raw_data_2017 = pd.read_csv('uk-deaths-data/Weekly_Deaths_NI_2017.csv', \n",
- " parse_dates=[1, 2], dayfirst=True,\n",
- "# index_col=0,\n",
- " header=[0, 1]\n",
- " )\n",
- "raw_data_2017.head()\n",
- "dh17i = raw_data_2017.iloc[:, [0, 3]]\n",
- "dh17i.set_index(dh17i.columns[0], inplace=True)\n",
- "dh17i.columns = ['total_2017']\n",
- "dh17i.tail()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 408,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
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- " <td>416</td>\n",
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- " <td>2017</td>\n",
- " <td>Northern Ireland</td>\n",
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- " <tr>\n",
- " <th>3</th>\n",
- " <td>4</td>\n",
- " <td>2017-01-27</td>\n",
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- " <td>2017</td>\n",
- " <td>Northern Ireland</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>5</td>\n",
- " <td>2017-02-03</td>\n",
- " <td>371</td>\n",
- " <td>2017</td>\n",
- " <td>Northern Ireland</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " week date_up_to deaths year nation\n",
- "0 1 2017-01-06 416 2017 Northern Ireland\n",
- "1 2 2017-01-13 434 2017 Northern Ireland\n",
- "2 3 2017-01-20 397 2017 Northern Ireland\n",
- "3 4 2017-01-27 387 2017 Northern Ireland\n",
- "4 5 2017-02-03 371 2017 Northern Ireland"
- ]
- },
- "execution_count": 408,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "rd = raw_data_2017.iloc[:, [0, 2, 3]].droplevel(1, axis=1).rename(\n",
- " columns={'Week Ends (Friday)': 'date_up_to', 'Total Number of Deaths Registered in Week (2017P)': 'deaths',\n",
- " 'Registration Week': 'week'}\n",
- " )\n",
- "rd['year'] = 2017\n",
- "rd['nation'] = 'Northern Ireland'\n",
- "rd.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 409,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "rd.to_sql(\n",
- " 'all_causes_deaths',\n",
- " conn,\n",
- " if_exists='append',\n",
- " index=False)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 410,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "3 rows affected.\n"
- ]
- },
- {
- "data": {
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- "%sql select year, nation, count(date_up_to) from all_causes_deaths group by (year, nation)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 528,
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- "raw_data_2018 = pd.read_csv('uk-deaths-data/Weekly_Deaths_NI_2018.csv', \n",
- " parse_dates=[1, 2], dayfirst=True,\n",
- "# index_col=0,\n",
- " header=[0, 1]\n",
- " )\n",
- "raw_data_2018.head()\n",
- "dh18i = raw_data_2018.iloc[:, [0, 3]]\n",
- "dh18i.set_index(dh18i.columns[0], inplace=True)\n",
- "dh18i.columns = ['total_2018']\n",
- "dh18i.tail()"
- ]
- },
- {
- "cell_type": "code",
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- " <td>2018</td>\n",
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- " week date_up_to deaths year nation\n",
- "0 1 2018-01-05 447 2018 Northern Ireland\n",
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- "rd = raw_data_2018.iloc[:, [0, 2, 3]].droplevel(1, axis=1).rename(\n",
- " columns={'Week Ends (Friday)': 'date_up_to', 'Total Number of Deaths Registered in Week (2018P)': 'deaths',\n",
- " 'Registration Week': 'week'}\n",
- " )\n",
- "rd['year'] = 2018\n",
- "rd['nation'] = 'Northern Ireland'\n",
- "rd.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 413,
- "metadata": {
- "Collapsed": "false"
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- "outputs": [],
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- "rd.to_sql(\n",
- " 'all_causes_deaths',\n",
- " conn,\n",
- " if_exists='append',\n",
- " index=False)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 414,
- "metadata": {
- "Collapsed": "false"
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- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
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- " * postgresql://covid:***@localhost/covid\n",
- "4 rows affected.\n"
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- "%sql select year, nation, count(date_up_to) from all_causes_deaths group by (year, nation)"
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- "raw_data_2019 = pd.read_csv('uk-deaths-data/Weekly_Deaths_NI_2019.csv', \n",
- " parse_dates=[1, 2], dayfirst=True,\n",
- "# index_col=0,\n",
- " header=[0, 1]\n",
- " )\n",
- "raw_data_2019.head()\n",
- "dh19i = raw_data_2019.iloc[:, [0, 3]]\n",
- "dh19i.set_index(dh19i.columns[0], inplace=True)\n",
- "dh19i.columns = ['total_2019']\n",
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- " <td>2019-02-01</td>\n",
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- " week date_up_to deaths year nation\n",
- "0 1 2019-01-04 365 2019 Northern Ireland\n",
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- "rd = raw_data_2019.iloc[:, [0, 2, 3]].droplevel(1, axis=1).rename(\n",
- " columns={'Week Ends (Friday)': 'date_up_to', 'Total Number of Deaths Registered in Week (2019P)': 'deaths',\n",
- " 'Registration Week': 'week'}\n",
- " )\n",
- "rd['year'] = 2019\n",
- "rd['nation'] = 'Northern Ireland'\n",
- "rd.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 417,
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- "rd.to_sql(\n",
- " 'all_causes_deaths',\n",
- " conn,\n",
- " if_exists='append',\n",
- " index=False)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 418,
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- {
- "name": "stdout",
- "output_type": "stream",
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- " * postgresql://covid:***@localhost/covid\n",
- "5 rows affected.\n"
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- "1 144 \n",
- "2 127.6 \n",
- "3 123.8 \n",
- "4 124 \n",
- "\n",
- " Covid-193 deaths registered in week (2020P) Unnamed: 9_level_0 \\\n",
- " Unnamed: 8_level_1 Unnamed: 9_level_1 \n",
- "0 0 NaN \n",
- "1 0 NaN \n",
- "2 0 NaN \n",
- "3 0 NaN \n",
- "4 0 NaN \n",
- "\n",
- " Unnamed: 10_level_0 Unnamed: 11_level_0 Unnamed: 12_level_0 \n",
- " Unnamed: 10_level_1 Unnamed: 11_level_1 Unnamed: 12_level_1 \n",
- "0 NaN NaN NaN \n",
- "1 NaN NaN NaN \n",
- "2 NaN NaN NaN \n",
- "3 NaN NaN NaN \n",
- "4 NaN NaN NaN "
- ]
- },
- "execution_count": 419,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "raw_data_2020_i = pd.read_csv('uk-deaths-data/Weekly_Deaths_NI_2020.csv', \n",
- " parse_dates=[1], dayfirst=True,\n",
- " header=[0, 1]\n",
- " )\n",
- "raw_data_2020_i.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 420,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
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- " <td>353</td>\n",
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- " <td>Northern Ireland</td>\n",
- " </tr>\n",
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- " <th>4</th>\n",
- " <td>5</td>\n",
- " <td>2020-01-31</td>\n",
- " <td>323</td>\n",
- " <td>2020</td>\n",
- " <td>Northern Ireland</td>\n",
- " </tr>\n",
- " </tbody>\n",
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- ],
- "text/plain": [
- " week date_up_to deaths year nation\n",
- "0 1 2020-01-03 353 2020 Northern Ireland\n",
- "1 2 2020-01-10 395 2020 Northern Ireland\n",
- "2 3 2020-01-17 411 2020 Northern Ireland\n",
- "3 4 2020-01-24 347 2020 Northern Ireland\n",
- "4 5 2020-01-31 323 2020 Northern Ireland"
- ]
- },
- "execution_count": 420,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "rd = raw_data_2020_i.iloc[:, [0, 1, 2]].droplevel(1, axis=1).rename(\n",
- " columns={'Week Ending (Friday)': 'date_up_to', 'Total Number of Deaths Registered in Week (2020P)': 'deaths',\n",
- " 'Registration Week': 'week'}\n",
- " )\n",
- "rd['year'] = 2020\n",
- "rd['nation'] = 'Northern Ireland'\n",
- "rd.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 421,
- "metadata": {
- "Collapsed": "false"
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- "outputs": [
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- " <tbody>\n",
- " <tr>\n",
- " <th>48</th>\n",
- " <td>49</td>\n",
- " <td>2020-12-04</td>\n",
- " <td>387</td>\n",
- " <td>2020</td>\n",
- " <td>Northern Ireland</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>49</th>\n",
- " <td>50</td>\n",
- " <td>2020-12-11</td>\n",
- " <td>366</td>\n",
- " <td>2020</td>\n",
- " <td>Northern Ireland</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>50</th>\n",
- " <td>51</td>\n",
- " <td>2020-12-18</td>\n",
- " <td>350</td>\n",
- " <td>2020</td>\n",
- " <td>Northern Ireland</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>51</th>\n",
- " <td>52</td>\n",
- " <td>2020-12-25</td>\n",
- " <td>310</td>\n",
- " <td>2020</td>\n",
- " <td>Northern Ireland</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>52</th>\n",
- " <td>53</td>\n",
- " <td>2021-01-01</td>\n",
- " <td>333</td>\n",
- " <td>2020</td>\n",
- " <td>Northern Ireland</td>\n",
- " </tr>\n",
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- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " week date_up_to deaths year nation\n",
- "48 49 2020-12-04 387 2020 Northern Ireland\n",
- "49 50 2020-12-11 366 2020 Northern Ireland\n",
- "50 51 2020-12-18 350 2020 Northern Ireland\n",
- "51 52 2020-12-25 310 2020 Northern Ireland\n",
- "52 53 2021-01-01 333 2020 Northern Ireland"
- ]
- },
- "execution_count": 421,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "rd.tail()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 422,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "rd.to_sql(\n",
- " 'all_causes_deaths',\n",
- " conn,\n",
- " if_exists='append',\n",
- " index=False)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 423,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "6 rows affected.\n"
- ]
- },
- {
- "data": {
- "text/html": [
- "<table>\n",
- " <thead>\n",
- " <tr>\n",
- " <th>year</th>\n",
- " <th>nation</th>\n",
- " <th>count</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <td>2015</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>53</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2016</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2017</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2018</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>52</td>\n",
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- " <td>2019</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>52</td>\n",
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- " <tr>\n",
- " <td>2020</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>53</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>"
- ],
- "text/plain": [
- "[(2015, 'Northern Ireland', 53),\n",
- " (2016, 'Northern Ireland', 52),\n",
- " (2017, 'Northern Ireland', 52),\n",
- " (2018, 'Northern Ireland', 52),\n",
- " (2019, 'Northern Ireland', 52),\n",
- " (2020, 'Northern Ireland', 53)]"
- ]
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- "execution_count": 423,
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- "source": [
- "%sql select year, nation, count(date_up_to) from all_causes_deaths group by (year, nation) order by nation, year"
- ]
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- "cell_type": "code",
- "execution_count": 521,
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- " <th>Week Ending (Friday)</th>\n",
- " <th>Total Number of Deaths Registered in Week (2020P)</th>\n",
- " <th>Average number of deaths registered in corresponding week over previous 5 years (2015 to 2019P)</th>\n",
- " <th>Range</th>\n",
- " <th>Unnamed: 5_level_0</th>\n",
- " <th>Respiratory2 deaths registered in week (2020P)</th>\n",
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- " <th>Minimum in Previous 5 years</th>\n",
- " <th>Maximum in Previous 5 years</th>\n",
- " <th>Unnamed: 6_level_1</th>\n",
- " <th>Unnamed: 7_level_1</th>\n",
- " <th>Unnamed: 8_level_1</th>\n",
- " <th>Unnamed: 9_level_1</th>\n",
- " <th>Unnamed: 10_level_1</th>\n",
- " <th>Unnamed: 11_level_1</th>\n",
- " <th>Unnamed: 12_level_1</th>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>(Registration Week, Unnamed: 0_level_1)</th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
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- " <th>49</th>\n",
- " <td>2020-12-04</td>\n",
- " <td>387</td>\n",
- " <td>322.0</td>\n",
- " <td>279</td>\n",
- " <td>355</td>\n",
- " <td>-</td>\n",
- " <td>-</td>\n",
- " <td>-</td>\n",
- " <td>155.0</td>\n",
- " <td>87.0</td>\n",
- " <td>-</td>\n",
- " <td>98.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>50</th>\n",
- " <td>2020-12-11</td>\n",
- " <td>366</td>\n",
- " <td>322.0</td>\n",
- " <td>294</td>\n",
- " <td>353</td>\n",
- " <td>-</td>\n",
- " <td>-</td>\n",
- " <td>-</td>\n",
- " <td>138.0</td>\n",
- " <td>93.0</td>\n",
- " <td>-</td>\n",
- " <td>87.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>51</th>\n",
- " <td>2020-12-18</td>\n",
- " <td>350</td>\n",
- " <td>344.0</td>\n",
- " <td>317</td>\n",
- " <td>372</td>\n",
- " <td>-</td>\n",
- " <td>-</td>\n",
- " <td>-</td>\n",
- " <td>140.0</td>\n",
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- " <td>-</td>\n",
- " <td>82.0</td>\n",
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- " <tr>\n",
- " <th>52</th>\n",
- " <td>2020-12-25</td>\n",
- " <td>310</td>\n",
- " <td>281.0</td>\n",
- " <td>194</td>\n",
- " <td>360</td>\n",
- " <td>-</td>\n",
- " <td>-</td>\n",
- " <td>-</td>\n",
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- " <td>-</td>\n",
- " <td>88.0</td>\n",
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- " <td>2021-01-01</td>\n",
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- " <td>-</td>\n",
- " <td>146.0</td>\n",
- " <td>97.0</td>\n",
- " <td>-</td>\n",
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- "text/plain": [
- " Week Ending (Friday) \\\n",
- " Unnamed: 1_level_1 \n",
- "(Registration Week, Unnamed: 0_level_1) \n",
- "49 2020-12-04 \n",
- "50 2020-12-11 \n",
- "51 2020-12-18 \n",
- "52 2020-12-25 \n",
- "53 2021-01-01 \n",
- "\n",
- " Total Number of Deaths Registered in Week (2020P) \\\n",
- " Unnamed: 2_level_1 \n",
- "(Registration Week, Unnamed: 0_level_1) \n",
- "49 387 \n",
- "50 366 \n",
- "51 350 \n",
- "52 310 \n",
- "53 333 \n",
- "\n",
- " Average number of deaths registered in corresponding week over previous 5 years (2015 to 2019P) \\\n",
- " Unnamed: 3_level_1 \n",
- "(Registration Week, Unnamed: 0_level_1) \n",
- "49 322.0 \n",
- "50 322.0 \n",
- "51 344.0 \n",
- "52 281.0 \n",
- "53 280.0 \n",
- "\n",
- " Range \\\n",
- " Minimum in Previous 5 years \n",
- "(Registration Week, Unnamed: 0_level_1) \n",
- "49 279 \n",
- "50 294 \n",
- "51 317 \n",
- "52 194 \n",
- "53 199 \n",
- "\n",
- " Unnamed: 5_level_0 \\\n",
- " Maximum in Previous 5 years \n",
- "(Registration Week, Unnamed: 0_level_1) \n",
- "49 355 \n",
- "50 353 \n",
- "51 372 \n",
- "52 360 \n",
- "53 365 \n",
- "\n",
- " Respiratory2 deaths registered in week (2020P) \\\n",
- " Unnamed: 6_level_1 \n",
- "(Registration Week, Unnamed: 0_level_1) \n",
- "49 - \n",
- "50 - \n",
- "51 - \n",
- "52 - \n",
- "53 - \n",
- "\n",
- " Average number of respiratory2 deaths registered in corresponding week over previous 5 years (2015 to 2019P) \\\n",
- " Unnamed: 7_level_1 \n",
- "(Registration Week, Unnamed: 0_level_1) \n",
- "49 - \n",
- "50 - \n",
- "51 - \n",
- "52 - \n",
- "53 - \n",
- "\n",
- " Covid-193 deaths registered in week (2020P) \\\n",
- " Unnamed: 8_level_1 \n",
- "(Registration Week, Unnamed: 0_level_1) \n",
- "49 - \n",
- "50 - \n",
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- "52 - \n",
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- "\n",
- " Unnamed: 9_level_0 \\\n",
- " Unnamed: 9_level_1 \n",
- "(Registration Week, Unnamed: 0_level_1) \n",
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- "50 138.0 \n",
- "51 140.0 \n",
- "52 132.0 \n",
- "53 146.0 \n",
- "\n",
- " Unnamed: 10_level_0 \\\n",
- " Unnamed: 10_level_1 \n",
- "(Registration Week, Unnamed: 0_level_1) \n",
- "49 87.0 \n",
- "50 93.0 \n",
- "51 102.0 \n",
- "52 92.0 \n",
- "53 97.0 \n",
- "\n",
- " Unnamed: 11_level_0 \\\n",
- " Unnamed: 11_level_1 \n",
- "(Registration Week, Unnamed: 0_level_1) \n",
- "49 - \n",
- "50 - \n",
- "51 - \n",
- "52 - \n",
- "53 - \n",
- "\n",
- " Unnamed: 12_level_0 \n",
- " Unnamed: 12_level_1 \n",
- "(Registration Week, Unnamed: 0_level_1) \n",
- "49 98.0 \n",
- "50 87.0 \n",
- "51 82.0 \n",
- "52 88.0 \n",
- "53 94.0 "
- ]
- },
- "execution_count": 521,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "raw_data_2020_i.set_index(raw_data_2020_i.columns[0], inplace=True)\n",
- "raw_data_2020_i.tail()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 424,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "(2021, 3, 1)"
- ]
- },
- "execution_count": 424,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "datetime.datetime.now().isocalendar()"
- ]
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- {
- "cell_type": "code",
- "execution_count": 425,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "datetime.datetime(2021, 1, 18, 0, 0)"
- ]
- },
- "execution_count": 425,
- "metadata": {},
- "output_type": "execute_result"
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- ],
- "source": [
- "datetime.datetime.fromisocalendar(2021, 3, 1)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": 426,
- "metadata": {
- "Collapsed": "false",
- "scrolled": true
- },
- "outputs": [],
- "source": [
- "raw_data_s = pd.read_csv('uk-deaths-data/weekly-deaths-scotland.csv', \n",
- " index_col=0,\n",
- " header=0,\n",
- " skiprows=2\n",
- " )\n",
- "# raw_data_s"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 427,
- "metadata": {
- "Collapsed": "false",
- "scrolled": true
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- " <th>total_2019</th>\n",
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- " <th>2</th>\n",
- " <td>1567</td>\n",
- " <td>1507.0</td>\n",
- " <td>1899.0</td>\n",
- " <td>1379.0</td>\n",
- " <td>1305.0</td>\n",
- " <td>1708</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>1322</td>\n",
- " <td>1353.0</td>\n",
- " <td>1629.0</td>\n",
- " <td>1224.0</td>\n",
- " <td>1215.0</td>\n",
- " <td>1489</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>1226</td>\n",
- " <td>1208.0</td>\n",
- " <td>1610.0</td>\n",
- " <td>1197.0</td>\n",
- " <td>1187.0</td>\n",
- " <td>1381</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>5</th>\n",
- " <td>1188</td>\n",
- " <td>1206.0</td>\n",
- " <td>1369.0</td>\n",
- " <td>1332.0</td>\n",
- " <td>1205.0</td>\n",
- " <td>1286</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>6</th>\n",
- " <td>1216</td>\n",
- " <td>1243.0</td>\n",
- " <td>1265.0</td>\n",
- " <td>1200.0</td>\n",
- " <td>1217.0</td>\n",
- " <td>1344</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>7</th>\n",
- " <td>1162</td>\n",
- " <td>1181.0</td>\n",
- " <td>1315.0</td>\n",
- " <td>1231.0</td>\n",
- " <td>1209.0</td>\n",
- " <td>1360</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>8</th>\n",
- " <td>1162</td>\n",
- " <td>1245.0</td>\n",
- " <td>1245.0</td>\n",
- " <td>1185.0</td>\n",
- " <td>1239.0</td>\n",
- " <td>1320</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>9</th>\n",
- " <td>1171</td>\n",
- " <td>1125.0</td>\n",
- " <td>1022.0</td>\n",
- " <td>1219.0</td>\n",
- " <td>1150.0</td>\n",
- " <td>1308</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>10</th>\n",
- " <td>1208</td>\n",
- " <td>1156.0</td>\n",
- " <td>1475.0</td>\n",
- " <td>1146.0</td>\n",
- " <td>1174.0</td>\n",
- " <td>1192</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>11</th>\n",
- " <td>1156</td>\n",
- " <td>1108.0</td>\n",
- " <td>1220.0</td>\n",
- " <td>1141.0</td>\n",
- " <td>1175.0</td>\n",
- " <td>1201</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>12</th>\n",
- " <td>1196</td>\n",
- " <td>1101.0</td>\n",
- " <td>1158.0</td>\n",
- " <td>1152.0</td>\n",
- " <td>1042.0</td>\n",
- " <td>1149</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>13</th>\n",
- " <td>1079</td>\n",
- " <td>1086.0</td>\n",
- " <td>1050.0</td>\n",
- " <td>1112.0</td>\n",
- " <td>1172.0</td>\n",
- " <td>1171</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>14</th>\n",
- " <td>1744</td>\n",
- " <td>1032.0</td>\n",
- " <td>1192.0</td>\n",
- " <td>1060.0</td>\n",
- " <td>1166.0</td>\n",
- " <td>1042</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>15</th>\n",
- " <td>1978</td>\n",
- " <td>1069.0</td>\n",
- " <td>1192.0</td>\n",
- " <td>998.0</td>\n",
- " <td>1048.0</td>\n",
- " <td>1192</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>16</th>\n",
- " <td>1916</td>\n",
- " <td>902.0</td>\n",
- " <td>1136.0</td>\n",
- " <td>1111.0</td>\n",
- " <td>1092.0</td>\n",
- " <td>1095</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>17</th>\n",
- " <td>1836</td>\n",
- " <td>1121.0</td>\n",
- " <td>1008.0</td>\n",
- " <td>1121.0</td>\n",
- " <td>1076.0</td>\n",
- " <td>1108</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>18</th>\n",
- " <td>1679</td>\n",
- " <td>1131.0</td>\n",
- " <td>1093.0</td>\n",
- " <td>1050.0</td>\n",
- " <td>1006.0</td>\n",
- " <td>1117</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>19</th>\n",
- " <td>1435</td>\n",
- " <td>1018.0</td>\n",
- " <td>967.0</td>\n",
- " <td>1119.0</td>\n",
- " <td>1047.0</td>\n",
- " <td>1020</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>20</th>\n",
- " <td>1421</td>\n",
- " <td>1115.0</td>\n",
- " <td>977.0</td>\n",
- " <td>1115.0</td>\n",
- " <td>1010.0</td>\n",
- " <td>1103</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>21</th>\n",
- " <td>1226</td>\n",
- " <td>1061.0</td>\n",
- " <td>1070.0</td>\n",
- " <td>1063.0</td>\n",
- " <td>994.0</td>\n",
- " <td>1039</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>22</th>\n",
- " <td>1125</td>\n",
- " <td>1029.0</td>\n",
- " <td>998.0</td>\n",
- " <td>1015.0</td>\n",
- " <td>999.0</td>\n",
- " <td>1043</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>23</th>\n",
- " <td>1093</td>\n",
- " <td>1042.0</td>\n",
- " <td>1033.0</td>\n",
- " <td>1076.0</td>\n",
- " <td>1023.0</td>\n",
- " <td>1106</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>24</th>\n",
- " <td>1034</td>\n",
- " <td>1028.0</td>\n",
- " <td>915.0</td>\n",
- " <td>1031.0</td>\n",
- " <td>988.0</td>\n",
- " <td>1038</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>25</th>\n",
- " <td>1065</td>\n",
- " <td>1053.0</td>\n",
- " <td>993.0</td>\n",
- " <td>1032.0</td>\n",
- " <td>994.0</td>\n",
- " <td>1025</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>26</th>\n",
- " <td>1008</td>\n",
- " <td>1051.0</td>\n",
- " <td>1046.0</td>\n",
- " <td>994.0</td>\n",
- " <td>1007.0</td>\n",
- " <td>1032</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>27</th>\n",
- " <td>983</td>\n",
- " <td>981.0</td>\n",
- " <td>1041.0</td>\n",
- " <td>1040.0</td>\n",
- " <td>988.0</td>\n",
- " <td>1040</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>28</th>\n",
- " <td>976</td>\n",
- " <td>1077.0</td>\n",
- " <td>1002.0</td>\n",
- " <td>1014.0</td>\n",
- " <td>1022.0</td>\n",
- " <td>1011</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>29</th>\n",
- " <td>1033</td>\n",
- " <td>964.0</td>\n",
- " <td>928.0</td>\n",
- " <td>1025.0</td>\n",
- " <td>1041.0</td>\n",
- " <td>1023</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>30</th>\n",
- " <td>961</td>\n",
- " <td>1041.0</td>\n",
- " <td>933.0</td>\n",
- " <td>978.0</td>\n",
- " <td>979.0</td>\n",
- " <td>956</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>31</th>\n",
- " <td>1043</td>\n",
- " <td>1020.0</td>\n",
- " <td>969.0</td>\n",
- " <td>1011.0</td>\n",
- " <td>987.0</td>\n",
- " <td>985</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>32</th>\n",
- " <td>1011</td>\n",
- " <td>1018.0</td>\n",
- " <td>953.0</td>\n",
- " <td>1002.0</td>\n",
- " <td>997.0</td>\n",
- " <td>1043</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>33</th>\n",
- " <td>922</td>\n",
- " <td>1028.0</td>\n",
- " <td>978.0</td>\n",
- " <td>1004.0</td>\n",
- " <td>982.0</td>\n",
- " <td>969</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>34</th>\n",
- " <td>1046</td>\n",
- " <td>1011.0</td>\n",
- " <td>941.0</td>\n",
- " <td>1045.0</td>\n",
- " <td>1017.0</td>\n",
- " <td>982</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>35</th>\n",
- " <td>1029</td>\n",
- " <td>1013.0</td>\n",
- " <td>930.0</td>\n",
- " <td>980.0</td>\n",
- " <td>1039.0</td>\n",
- " <td>954</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>36</th>\n",
- " <td>1050</td>\n",
- " <td>980.0</td>\n",
- " <td>970.0</td>\n",
- " <td>1006.0</td>\n",
- " <td>1007.0</td>\n",
- " <td>977</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>37</th>\n",
- " <td>1069</td>\n",
- " <td>1074.0</td>\n",
- " <td>1020.0</td>\n",
- " <td>972.0</td>\n",
- " <td>983.0</td>\n",
- " <td>991</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>38</th>\n",
- " <td>952</td>\n",
- " <td>1071.0</td>\n",
- " <td>946.0</td>\n",
- " <td>1049.0</td>\n",
- " <td>966.0</td>\n",
- " <td>1001</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>39</th>\n",
- " <td>933</td>\n",
- " <td>1142.0</td>\n",
- " <td>1015.0</td>\n",
- " <td>1056.0</td>\n",
- " <td>1009.0</td>\n",
- " <td>1010</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>40</th>\n",
- " <td>1195</td>\n",
- " <td>1051.0</td>\n",
- " <td>1042.0</td>\n",
- " <td>1016.0</td>\n",
- " <td>1072.0</td>\n",
- " <td>1008</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>41</th>\n",
- " <td>1071</td>\n",
- " <td>1143.0</td>\n",
- " <td>1081.0</td>\n",
- " <td>1133.0</td>\n",
- " <td>1009.0</td>\n",
- " <td>1028</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>42</th>\n",
- " <td>1131</td>\n",
- " <td>1153.0</td>\n",
- " <td>1031.0</td>\n",
- " <td>1067.0</td>\n",
- " <td>1070.0</td>\n",
- " <td>989</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>43</th>\n",
- " <td>1187</td>\n",
- " <td>1115.0</td>\n",
- " <td>1019.0</td>\n",
- " <td>1095.0</td>\n",
- " <td>1052.0</td>\n",
- " <td>981</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>44</th>\n",
- " <td>1262</td>\n",
- " <td>1101.0</td>\n",
- " <td>1085.0</td>\n",
- " <td>1062.0</td>\n",
- " <td>1032.0</td>\n",
- " <td>1116</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>45</th>\n",
- " <td>1250</td>\n",
- " <td>1184.0</td>\n",
- " <td>1144.0</td>\n",
- " <td>1126.0</td>\n",
- " <td>1043.0</td>\n",
- " <td>1028</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>46</th>\n",
- " <td>1138</td>\n",
- " <td>1160.0</td>\n",
- " <td>1084.0</td>\n",
- " <td>1175.0</td>\n",
- " <td>1174.0</td>\n",
- " <td>1103</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>47</th>\n",
- " <td>1360</td>\n",
- " <td>1229.0</td>\n",
- " <td>1058.0</td>\n",
- " <td>1178.0</td>\n",
- " <td>1132.0</td>\n",
- " <td>1054</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>48</th>\n",
- " <td>1328</td>\n",
- " <td>1163.0</td>\n",
- " <td>1062.0</td>\n",
- " <td>1153.0</td>\n",
- " <td>1159.0</td>\n",
- " <td>1115</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>49</th>\n",
- " <td>1296</td>\n",
- " <td>1108.0</td>\n",
- " <td>1076.0</td>\n",
- " <td>1237.0</td>\n",
- " <td>1188.0</td>\n",
- " <td>1089</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>50</th>\n",
- " <td>1284</td>\n",
- " <td>1312.0</td>\n",
- " <td>1212.0</td>\n",
- " <td>1335.0</td>\n",
- " <td>1219.0</td>\n",
- " <td>1101</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>51</th>\n",
- " <td>1297</td>\n",
- " <td>1277.0</td>\n",
- " <td>1216.0</td>\n",
- " <td>1437.0</td>\n",
- " <td>1284.0</td>\n",
- " <td>1146</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>52</th>\n",
- " <td>1205</td>\n",
- " <td>1000.0</td>\n",
- " <td>1058.0</td>\n",
- " <td>1168.0</td>\n",
- " <td>1133.0</td>\n",
- " <td>944</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>53</th>\n",
- " <td>1178</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>1018</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " total_2020 total_2019 total_2018 total_2017 total_2016 total_2015\n",
- "1 1161 1104.0 1531.0 1205.0 1394.0 1146\n",
- "2 1567 1507.0 1899.0 1379.0 1305.0 1708\n",
- "3 1322 1353.0 1629.0 1224.0 1215.0 1489\n",
- "4 1226 1208.0 1610.0 1197.0 1187.0 1381\n",
- "5 1188 1206.0 1369.0 1332.0 1205.0 1286\n",
- "6 1216 1243.0 1265.0 1200.0 1217.0 1344\n",
- "7 1162 1181.0 1315.0 1231.0 1209.0 1360\n",
- "8 1162 1245.0 1245.0 1185.0 1239.0 1320\n",
- "9 1171 1125.0 1022.0 1219.0 1150.0 1308\n",
- "10 1208 1156.0 1475.0 1146.0 1174.0 1192\n",
- "11 1156 1108.0 1220.0 1141.0 1175.0 1201\n",
- "12 1196 1101.0 1158.0 1152.0 1042.0 1149\n",
- "13 1079 1086.0 1050.0 1112.0 1172.0 1171\n",
- "14 1744 1032.0 1192.0 1060.0 1166.0 1042\n",
- "15 1978 1069.0 1192.0 998.0 1048.0 1192\n",
- "16 1916 902.0 1136.0 1111.0 1092.0 1095\n",
- "17 1836 1121.0 1008.0 1121.0 1076.0 1108\n",
- "18 1679 1131.0 1093.0 1050.0 1006.0 1117\n",
- "19 1435 1018.0 967.0 1119.0 1047.0 1020\n",
- "20 1421 1115.0 977.0 1115.0 1010.0 1103\n",
- "21 1226 1061.0 1070.0 1063.0 994.0 1039\n",
- "22 1125 1029.0 998.0 1015.0 999.0 1043\n",
- "23 1093 1042.0 1033.0 1076.0 1023.0 1106\n",
- "24 1034 1028.0 915.0 1031.0 988.0 1038\n",
- "25 1065 1053.0 993.0 1032.0 994.0 1025\n",
- "26 1008 1051.0 1046.0 994.0 1007.0 1032\n",
- "27 983 981.0 1041.0 1040.0 988.0 1040\n",
- "28 976 1077.0 1002.0 1014.0 1022.0 1011\n",
- "29 1033 964.0 928.0 1025.0 1041.0 1023\n",
- "30 961 1041.0 933.0 978.0 979.0 956\n",
- "31 1043 1020.0 969.0 1011.0 987.0 985\n",
- "32 1011 1018.0 953.0 1002.0 997.0 1043\n",
- "33 922 1028.0 978.0 1004.0 982.0 969\n",
- "34 1046 1011.0 941.0 1045.0 1017.0 982\n",
- "35 1029 1013.0 930.0 980.0 1039.0 954\n",
- "36 1050 980.0 970.0 1006.0 1007.0 977\n",
- "37 1069 1074.0 1020.0 972.0 983.0 991\n",
- "38 952 1071.0 946.0 1049.0 966.0 1001\n",
- "39 933 1142.0 1015.0 1056.0 1009.0 1010\n",
- "40 1195 1051.0 1042.0 1016.0 1072.0 1008\n",
- "41 1071 1143.0 1081.0 1133.0 1009.0 1028\n",
- "42 1131 1153.0 1031.0 1067.0 1070.0 989\n",
- "43 1187 1115.0 1019.0 1095.0 1052.0 981\n",
- "44 1262 1101.0 1085.0 1062.0 1032.0 1116\n",
- "45 1250 1184.0 1144.0 1126.0 1043.0 1028\n",
- "46 1138 1160.0 1084.0 1175.0 1174.0 1103\n",
- "47 1360 1229.0 1058.0 1178.0 1132.0 1054\n",
- "48 1328 1163.0 1062.0 1153.0 1159.0 1115\n",
- "49 1296 1108.0 1076.0 1237.0 1188.0 1089\n",
- "50 1284 1312.0 1212.0 1335.0 1219.0 1101\n",
- "51 1297 1277.0 1216.0 1437.0 1284.0 1146\n",
- "52 1205 1000.0 1058.0 1168.0 1133.0 944\n",
- "53 1178 NaN NaN NaN NaN 1018"
- ]
- },
- "execution_count": 427,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "deaths_headlines_s = raw_data_s[reversed('2015 2016 2017 2018 2019 2020'.split())]\n",
- "deaths_headlines_s.columns = ['total_' + c for c in deaths_headlines_s.columns]\n",
- "deaths_headlines_s.reset_index(drop=True, inplace=True)\n",
- "deaths_headlines_s.index = deaths_headlines_s.index + 1\n",
- "deaths_headlines_s"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 428,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "5 rows affected.\n"
- ]
- },
- {
- "data": {
- "text/html": [
- "<table>\n",
- " <thead>\n",
- " <tr>\n",
- " <th>week</th>\n",
- " <th>year</th>\n",
- " <th>date_up_to</th>\n",
- " <th>nation</th>\n",
- " <th>deaths</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <td>1</td>\n",
- " <td>2015</td>\n",
- " <td>2015-01-02</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>319</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2</td>\n",
- " <td>2015</td>\n",
- " <td>2015-01-09</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>373</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>3</td>\n",
- " <td>2015</td>\n",
- " <td>2015-01-16</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>383</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>4</td>\n",
- " <td>2015</td>\n",
- " <td>2015-01-23</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>397</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>5</td>\n",
- " <td>2015</td>\n",
- " <td>2015-01-30</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>374</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>"
- ],
- "text/plain": [
- "[(1, 2015, datetime.date(2015, 1, 2), 'Northern Ireland', 319),\n",
- " (2, 2015, datetime.date(2015, 1, 9), 'Northern Ireland', 373),\n",
- " (3, 2015, datetime.date(2015, 1, 16), 'Northern Ireland', 383),\n",
- " (4, 2015, datetime.date(2015, 1, 23), 'Northern Ireland', 397),\n",
- " (5, 2015, datetime.date(2015, 1, 30), 'Northern Ireland', 374)]"
- ]
- },
- "execution_count": 428,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "%sql select * from all_causes_deaths limit 5"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 429,
- "metadata": {
- "Collapsed": "false",
- "scrolled": true
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
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- "1 rows affected.\n",
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- "1 rows affected.\n",
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- "1 rows affected.\n",
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- "1 rows affected.\n",
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- "1 rows affected.\n",
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- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
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- "1 rows affected.\n",
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- "1 rows affected.\n",
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- "1 rows affected.\n",
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- "1 rows affected.\n",
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- "1 rows affected.\n",
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- "1 rows affected.\n",
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- "1 rows affected.\n",
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- "1 rows affected.\n",
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- "1 rows affected.\n",
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- "1 rows affected.\n",
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- "1 rows affected.\n",
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- "1 rows affected.\n",
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- "1 rows affected.\n",
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- "1 rows affected.\n",
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- "1 rows affected.\n",
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- "1 rows affected.\n",
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- "1 rows affected.\n",
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- "1 rows affected.\n",
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- "1 rows affected.\n",
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- "1 rows affected.\n",
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- "1 rows affected.\n",
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- "1 rows affected.\n",
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- "1 rows affected.\n",
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- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
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- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
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- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n"
- ]
- }
- ],
- "source": [
- "for year, ser in deaths_headlines_s.items():\n",
- " year_i = int(year[-4:])\n",
- "# print(year_i)\n",
- " for week, deaths in ser.dropna().iteritems():\n",
- "# print(datetime.date.fromisocalendar(year_i, week, 7), deaths)\n",
- " dut = datetime.date.fromisocalendar(year_i, week, 7)\n",
- " %sql insert into all_causes_deaths(week, year, date_up_to, nation, deaths) values ({week}, {year_i}, :dut, 'Scotland', {deaths})"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 430,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "12 rows affected.\n"
- ]
- },
- {
- "data": {
- "text/html": [
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- " <thead>\n",
- " <tr>\n",
- " <th>year</th>\n",
- " <th>nation</th>\n",
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- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <td>2015</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>53</td>\n",
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- " <tr>\n",
- " <td>2016</td>\n",
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- " <td>52</td>\n",
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- " <td>Northern Ireland</td>\n",
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- "[(2015, 'Northern Ireland', 53),\n",
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- " (2019, 'Scotland', 52),\n",
- " (2020, 'Scotland', 53)]"
- ]
- },
- "execution_count": 430,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "%sql select year, nation, count(date_up_to) from all_causes_deaths group by (year, nation) order by nation, year"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 431,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "12 rows affected.\n"
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- "[(2015, 'Northern Ireland', datetime.date(2015, 1, 16)),\n",
- " (2015, 'Scotland', datetime.date(2015, 1, 18)),\n",
- " (2016, 'Northern Ireland', datetime.date(2016, 1, 22)),\n",
- " (2016, 'Scotland', datetime.date(2016, 1, 24)),\n",
- " (2017, 'Northern Ireland', datetime.date(2017, 1, 20)),\n",
- " (2017, 'Scotland', datetime.date(2017, 1, 22)),\n",
- " (2018, 'Northern Ireland', datetime.date(2018, 1, 19)),\n",
- " (2018, 'Scotland', datetime.date(2018, 1, 21)),\n",
- " (2019, 'Northern Ireland', datetime.date(2019, 1, 18)),\n",
- " (2019, 'Scotland', datetime.date(2019, 1, 20)),\n",
- " (2020, 'Northern Ireland', datetime.date(2020, 1, 17)),\n",
- " (2020, 'Scotland', datetime.date(2020, 1, 19))]"
- ]
- },
- "execution_count": 431,
- "metadata": {},
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- }
- ],
- "source": [
- "%sql select year, nation, date_up_to from all_causes_deaths where week=3 order by year, nation"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 432,
- "metadata": {
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- " <td>12206</td>\n",
- " <td>NaN</td>\n",
- " <td>11419</td>\n",
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- " <td>2020-02-07 00:00:00</td>\n",
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- " <td>1052</td>\n",
- " <td>1259</td>\n",
- " <td>987</td>\n",
- " <td>1729</td>\n",
- " <td>1157</td>\n",
- " <td>690</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>7</th>\n",
- " <td>2020-02-14 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10944</td>\n",
- " <td>NaN</td>\n",
- " <td>11627</td>\n",
- " <td>NaN</td>\n",
- " <td>10876</td>\n",
- " <td>NaN</td>\n",
- " <td>722</td>\n",
- " <td>...</td>\n",
- " <td>573</td>\n",
- " <td>1427</td>\n",
- " <td>1059</td>\n",
- " <td>976</td>\n",
- " <td>1159</td>\n",
- " <td>1172</td>\n",
- " <td>967</td>\n",
- " <td>1688</td>\n",
- " <td>1169</td>\n",
- " <td>728</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>8</th>\n",
- " <td>2020-02-21 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10841</td>\n",
- " <td>NaN</td>\n",
- " <td>11548</td>\n",
- " <td>NaN</td>\n",
- " <td>10790</td>\n",
- " <td>NaN</td>\n",
- " <td>724</td>\n",
- " <td>...</td>\n",
- " <td>539</td>\n",
- " <td>1477</td>\n",
- " <td>1087</td>\n",
- " <td>924</td>\n",
- " <td>1116</td>\n",
- " <td>1167</td>\n",
- " <td>1032</td>\n",
- " <td>1675</td>\n",
- " <td>1118</td>\n",
- " <td>679</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>9</th>\n",
- " <td>2020-02-28 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10816</td>\n",
- " <td>NaN</td>\n",
- " <td>11183</td>\n",
- " <td>NaN</td>\n",
- " <td>10448</td>\n",
- " <td>NaN</td>\n",
- " <td>698</td>\n",
- " <td>...</td>\n",
- " <td>572</td>\n",
- " <td>1476</td>\n",
- " <td>1078</td>\n",
- " <td>919</td>\n",
- " <td>1174</td>\n",
- " <td>1115</td>\n",
- " <td>1085</td>\n",
- " <td>1587</td>\n",
- " <td>1133</td>\n",
- " <td>651</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>10</th>\n",
- " <td>2020-03-06 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10895</td>\n",
- " <td>NaN</td>\n",
- " <td>11498</td>\n",
- " <td>NaN</td>\n",
- " <td>10745</td>\n",
- " <td>NaN</td>\n",
- " <td>720</td>\n",
- " <td>...</td>\n",
- " <td>568</td>\n",
- " <td>1490</td>\n",
- " <td>1112</td>\n",
- " <td>930</td>\n",
- " <td>1098</td>\n",
- " <td>1149</td>\n",
- " <td>982</td>\n",
- " <td>1726</td>\n",
- " <td>1170</td>\n",
- " <td>652</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>11</th>\n",
- " <td>2020-03-13 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>11019</td>\n",
- " <td>NaN</td>\n",
- " <td>11205</td>\n",
- " <td>NaN</td>\n",
- " <td>10447</td>\n",
- " <td>NaN</td>\n",
- " <td>727</td>\n",
- " <td>...</td>\n",
- " <td>590</td>\n",
- " <td>1472</td>\n",
- " <td>1053</td>\n",
- " <td>915</td>\n",
- " <td>1187</td>\n",
- " <td>1211</td>\n",
- " <td>964</td>\n",
- " <td>1751</td>\n",
- " <td>1174</td>\n",
- " <td>675</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>12</th>\n",
- " <td>2020-03-20 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10645</td>\n",
- " <td>NaN</td>\n",
- " <td>10573</td>\n",
- " <td>NaN</td>\n",
- " <td>9841</td>\n",
- " <td>NaN</td>\n",
- " <td>677</td>\n",
- " <td>...</td>\n",
- " <td>522</td>\n",
- " <td>1443</td>\n",
- " <td>1012</td>\n",
- " <td>947</td>\n",
- " <td>1115</td>\n",
- " <td>1043</td>\n",
- " <td>1008</td>\n",
- " <td>1657</td>\n",
- " <td>1156</td>\n",
- " <td>719</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>13</th>\n",
- " <td>2020-03-27 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>11141</td>\n",
- " <td>NaN</td>\n",
- " <td>10130</td>\n",
- " <td>NaN</td>\n",
- " <td>9414</td>\n",
- " <td>NaN</td>\n",
- " <td>665</td>\n",
- " <td>...</td>\n",
- " <td>542</td>\n",
- " <td>1538</td>\n",
- " <td>982</td>\n",
- " <td>922</td>\n",
- " <td>1035</td>\n",
- " <td>1182</td>\n",
- " <td>1297</td>\n",
- " <td>1822</td>\n",
- " <td>1092</td>\n",
- " <td>719</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>14</th>\n",
- " <td>2020-04-03 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>16387</td>\n",
- " <td>NaN</td>\n",
- " <td>10305</td>\n",
- " <td>NaN</td>\n",
- " <td>9601</td>\n",
- " <td>NaN</td>\n",
- " <td>667</td>\n",
- " <td>...</td>\n",
- " <td>770</td>\n",
- " <td>2137</td>\n",
- " <td>1436</td>\n",
- " <td>1246</td>\n",
- " <td>1812</td>\n",
- " <td>1717</td>\n",
- " <td>2511</td>\n",
- " <td>2294</td>\n",
- " <td>1520</td>\n",
- " <td>920</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>15</th>\n",
- " <td>2020-04-10 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>18516</td>\n",
- " <td>NaN</td>\n",
- " <td>10520</td>\n",
- " <td>NaN</td>\n",
- " <td>9807</td>\n",
- " <td>NaN</td>\n",
- " <td>671</td>\n",
- " <td>...</td>\n",
- " <td>849</td>\n",
- " <td>2597</td>\n",
- " <td>1503</td>\n",
- " <td>1452</td>\n",
- " <td>2182</td>\n",
- " <td>1984</td>\n",
- " <td>2832</td>\n",
- " <td>2604</td>\n",
- " <td>1560</td>\n",
- " <td>928</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>16</th>\n",
- " <td>2020-04-17 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>22351</td>\n",
- " <td>NaN</td>\n",
- " <td>10497</td>\n",
- " <td>NaN</td>\n",
- " <td>9787</td>\n",
- " <td>NaN</td>\n",
- " <td>661</td>\n",
- " <td>...</td>\n",
- " <td>1155</td>\n",
- " <td>3195</td>\n",
- " <td>1960</td>\n",
- " <td>1632</td>\n",
- " <td>2536</td>\n",
- " <td>2466</td>\n",
- " <td>3275</td>\n",
- " <td>3084</td>\n",
- " <td>1854</td>\n",
- " <td>1169</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>17</th>\n",
- " <td>2020-04-24 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>21997</td>\n",
- " <td>NaN</td>\n",
- " <td>10458</td>\n",
- " <td>NaN</td>\n",
- " <td>9768</td>\n",
- " <td>NaN</td>\n",
- " <td>662</td>\n",
- " <td>...</td>\n",
- " <td>1103</td>\n",
- " <td>3109</td>\n",
- " <td>2095</td>\n",
- " <td>1711</td>\n",
- " <td>2481</td>\n",
- " <td>2299</td>\n",
- " <td>2785</td>\n",
- " <td>3334</td>\n",
- " <td>1924</td>\n",
- " <td>1124</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>18</th>\n",
- " <td>2020-05-01 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>17953</td>\n",
- " <td>NaN</td>\n",
- " <td>9941</td>\n",
- " <td>NaN</td>\n",
- " <td>9289</td>\n",
- " <td>NaN</td>\n",
- " <td>624</td>\n",
- " <td>...</td>\n",
- " <td>922</td>\n",
- " <td>2503</td>\n",
- " <td>1844</td>\n",
- " <td>1418</td>\n",
- " <td>1975</td>\n",
- " <td>1982</td>\n",
- " <td>1953</td>\n",
- " <td>2853</td>\n",
- " <td>1554</td>\n",
- " <td>929</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>19</th>\n",
- " <td>2020-05-08 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>12657</td>\n",
- " <td>NaN</td>\n",
- " <td>9576</td>\n",
- " <td>NaN</td>\n",
- " <td>8937</td>\n",
- " <td>NaN</td>\n",
- " <td>612</td>\n",
- " <td>...</td>\n",
- " <td>769</td>\n",
- " <td>1790</td>\n",
- " <td>1328</td>\n",
- " <td>1094</td>\n",
- " <td>1326</td>\n",
- " <td>1321</td>\n",
- " <td>1213</td>\n",
- " <td>1887</td>\n",
- " <td>1218</td>\n",
- " <td>692</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>20</th>\n",
- " <td>2020-05-15 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>14573</td>\n",
- " <td>NaN</td>\n",
- " <td>10188</td>\n",
- " <td>NaN</td>\n",
- " <td>9526</td>\n",
- " <td>NaN</td>\n",
- " <td>635</td>\n",
- " <td>...</td>\n",
- " <td>845</td>\n",
- " <td>1992</td>\n",
- " <td>1589</td>\n",
- " <td>1283</td>\n",
- " <td>1502</td>\n",
- " <td>1543</td>\n",
- " <td>1329</td>\n",
- " <td>2251</td>\n",
- " <td>1449</td>\n",
- " <td>772</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>21</th>\n",
- " <td>2020-05-22 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>12288</td>\n",
- " <td>NaN</td>\n",
- " <td>9940</td>\n",
- " <td>NaN</td>\n",
- " <td>9299</td>\n",
- " <td>NaN</td>\n",
- " <td>614</td>\n",
- " <td>...</td>\n",
- " <td>718</td>\n",
- " <td>1636</td>\n",
- " <td>1236</td>\n",
- " <td>1041</td>\n",
- " <td>1319</td>\n",
- " <td>1397</td>\n",
- " <td>1125</td>\n",
- " <td>1937</td>\n",
- " <td>1177</td>\n",
- " <td>692</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>22</th>\n",
- " <td>2020-05-29 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9824</td>\n",
- " <td>NaN</td>\n",
- " <td>8171</td>\n",
- " <td>NaN</td>\n",
- " <td>7607</td>\n",
- " <td>NaN</td>\n",
- " <td>546</td>\n",
- " <td>...</td>\n",
- " <td>550</td>\n",
- " <td>1337</td>\n",
- " <td>1046</td>\n",
- " <td>863</td>\n",
- " <td>970</td>\n",
- " <td>1095</td>\n",
- " <td>841</td>\n",
- " <td>1515</td>\n",
- " <td>1011</td>\n",
- " <td>587</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>23</th>\n",
- " <td>2020-06-05 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10709</td>\n",
- " <td>NaN</td>\n",
- " <td>9977</td>\n",
- " <td>NaN</td>\n",
- " <td>9346</td>\n",
- " <td>NaN</td>\n",
- " <td>610</td>\n",
- " <td>...</td>\n",
- " <td>576</td>\n",
- " <td>1478</td>\n",
- " <td>1090</td>\n",
- " <td>931</td>\n",
- " <td>1172</td>\n",
- " <td>1131</td>\n",
- " <td>891</td>\n",
- " <td>1610</td>\n",
- " <td>1116</td>\n",
- " <td>700</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>24</th>\n",
- " <td>2020-06-12 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9976</td>\n",
- " <td>NaN</td>\n",
- " <td>9417</td>\n",
- " <td>NaN</td>\n",
- " <td>8803</td>\n",
- " <td>NaN</td>\n",
- " <td>588</td>\n",
- " <td>...</td>\n",
- " <td>478</td>\n",
- " <td>1374</td>\n",
- " <td>980</td>\n",
- " <td>967</td>\n",
- " <td>1096</td>\n",
- " <td>1048</td>\n",
- " <td>883</td>\n",
- " <td>1530</td>\n",
- " <td>1035</td>\n",
- " <td>574</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>25</th>\n",
- " <td>2020-06-19 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9339</td>\n",
- " <td>NaN</td>\n",
- " <td>9404</td>\n",
- " <td>NaN</td>\n",
- " <td>8810</td>\n",
- " <td>NaN</td>\n",
- " <td>573</td>\n",
- " <td>...</td>\n",
- " <td>498</td>\n",
- " <td>1234</td>\n",
- " <td>952</td>\n",
- " <td>835</td>\n",
- " <td>973</td>\n",
- " <td>927</td>\n",
- " <td>896</td>\n",
- " <td>1411</td>\n",
- " <td>990</td>\n",
- " <td>617</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>26</th>\n",
- " <td>2020-06-26 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>8979</td>\n",
- " <td>NaN</td>\n",
- " <td>9293</td>\n",
- " <td>NaN</td>\n",
- " <td>8695</td>\n",
- " <td>NaN</td>\n",
- " <td>571</td>\n",
- " <td>...</td>\n",
- " <td>485</td>\n",
- " <td>1300</td>\n",
- " <td>922</td>\n",
- " <td>800</td>\n",
- " <td>946</td>\n",
- " <td>880</td>\n",
- " <td>791</td>\n",
- " <td>1311</td>\n",
- " <td>979</td>\n",
- " <td>552</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>27</th>\n",
- " <td>2020-07-03 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9140</td>\n",
- " <td>NaN</td>\n",
- " <td>9183</td>\n",
- " <td>NaN</td>\n",
- " <td>8606</td>\n",
- " <td>NaN</td>\n",
- " <td>555</td>\n",
- " <td>...</td>\n",
- " <td>515</td>\n",
- " <td>1225</td>\n",
- " <td>875</td>\n",
- " <td>827</td>\n",
- " <td>949</td>\n",
- " <td>922</td>\n",
- " <td>837</td>\n",
- " <td>1454</td>\n",
- " <td>938</td>\n",
- " <td>584</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>28</th>\n",
- " <td>2020-07-10 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>8690</td>\n",
- " <td>NaN</td>\n",
- " <td>9250</td>\n",
- " <td>NaN</td>\n",
- " <td>8648</td>\n",
- " <td>NaN</td>\n",
- " <td>578</td>\n",
- " <td>...</td>\n",
- " <td>468</td>\n",
- " <td>1154</td>\n",
- " <td>848</td>\n",
- " <td>771</td>\n",
- " <td>902</td>\n",
- " <td>999</td>\n",
- " <td>803</td>\n",
- " <td>1228</td>\n",
- " <td>930</td>\n",
- " <td>572</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>29</th>\n",
- " <td>2020-07-17 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>8823</td>\n",
- " <td>NaN</td>\n",
- " <td>9093</td>\n",
- " <td>NaN</td>\n",
- " <td>8502</td>\n",
- " <td>NaN</td>\n",
- " <td>557</td>\n",
- " <td>...</td>\n",
- " <td>445</td>\n",
- " <td>1159</td>\n",
- " <td>843</td>\n",
- " <td>816</td>\n",
- " <td>956</td>\n",
- " <td>945</td>\n",
- " <td>806</td>\n",
- " <td>1339</td>\n",
- " <td>953</td>\n",
- " <td>550</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>30</th>\n",
- " <td>2020-07-24 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>8891</td>\n",
- " <td>NaN</td>\n",
- " <td>9052</td>\n",
- " <td>NaN</td>\n",
- " <td>8452</td>\n",
- " <td>NaN</td>\n",
- " <td>566</td>\n",
- " <td>...</td>\n",
- " <td>493</td>\n",
- " <td>1197</td>\n",
- " <td>817</td>\n",
- " <td>798</td>\n",
- " <td>964</td>\n",
- " <td>951</td>\n",
- " <td>816</td>\n",
- " <td>1340</td>\n",
- " <td>941</td>\n",
- " <td>565</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>31</th>\n",
- " <td>2020-07-31 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>8946</td>\n",
- " <td>NaN</td>\n",
- " <td>9036</td>\n",
- " <td>NaN</td>\n",
- " <td>8436</td>\n",
- " <td>NaN</td>\n",
- " <td>572</td>\n",
- " <td>...</td>\n",
- " <td>507</td>\n",
- " <td>1272</td>\n",
- " <td>837</td>\n",
- " <td>729</td>\n",
- " <td>902</td>\n",
- " <td>949</td>\n",
- " <td>773</td>\n",
- " <td>1447</td>\n",
- " <td>988</td>\n",
- " <td>531</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>32</th>\n",
- " <td>2020-08-07 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>8945</td>\n",
- " <td>NaN</td>\n",
- " <td>9102</td>\n",
- " <td>NaN</td>\n",
- " <td>8502</td>\n",
- " <td>NaN</td>\n",
- " <td>571</td>\n",
- " <td>...</td>\n",
- " <td>486</td>\n",
- " <td>1211</td>\n",
- " <td>851</td>\n",
- " <td>798</td>\n",
- " <td>933</td>\n",
- " <td>955</td>\n",
- " <td>832</td>\n",
- " <td>1370</td>\n",
- " <td>929</td>\n",
- " <td>563</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>33</th>\n",
- " <td>2020-08-14 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9392</td>\n",
- " <td>NaN</td>\n",
- " <td>9085</td>\n",
- " <td>NaN</td>\n",
- " <td>8494</td>\n",
- " <td>NaN</td>\n",
- " <td>564</td>\n",
- " <td>...</td>\n",
- " <td>520</td>\n",
- " <td>1304</td>\n",
- " <td>853</td>\n",
- " <td>829</td>\n",
- " <td>923</td>\n",
- " <td>1006</td>\n",
- " <td>928</td>\n",
- " <td>1395</td>\n",
- " <td>1009</td>\n",
- " <td>617</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>34</th>\n",
- " <td>2020-08-21 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9631</td>\n",
- " <td>NaN</td>\n",
- " <td>9157</td>\n",
- " <td>NaN</td>\n",
- " <td>8560</td>\n",
- " <td>NaN</td>\n",
- " <td>573</td>\n",
- " <td>...</td>\n",
- " <td>479</td>\n",
- " <td>1269</td>\n",
- " <td>870</td>\n",
- " <td>780</td>\n",
- " <td>1028</td>\n",
- " <td>1024</td>\n",
- " <td>920</td>\n",
- " <td>1608</td>\n",
- " <td>1043</td>\n",
- " <td>594</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>35</th>\n",
- " <td>2020-08-28 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9032</td>\n",
- " <td>NaN</td>\n",
- " <td>8241</td>\n",
- " <td>NaN</td>\n",
- " <td>7674</td>\n",
- " <td>NaN</td>\n",
- " <td>539</td>\n",
- " <td>...</td>\n",
- " <td>455</td>\n",
- " <td>1148</td>\n",
- " <td>922</td>\n",
- " <td>724</td>\n",
- " <td>945</td>\n",
- " <td>951</td>\n",
- " <td>810</td>\n",
- " <td>1511</td>\n",
- " <td>959</td>\n",
- " <td>591</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>36</th>\n",
- " <td>2020-09-04 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>7739</td>\n",
- " <td>NaN</td>\n",
- " <td>9182</td>\n",
- " <td>NaN</td>\n",
- " <td>8604</td>\n",
- " <td>NaN</td>\n",
- " <td>552</td>\n",
- " <td>...</td>\n",
- " <td>431</td>\n",
- " <td>1057</td>\n",
- " <td>780</td>\n",
- " <td>640</td>\n",
- " <td>770</td>\n",
- " <td>806</td>\n",
- " <td>737</td>\n",
- " <td>1208</td>\n",
- " <td>803</td>\n",
- " <td>488</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>37</th>\n",
- " <td>2020-09-11 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9811</td>\n",
- " <td>NaN</td>\n",
- " <td>9306</td>\n",
- " <td>NaN</td>\n",
- " <td>8708</td>\n",
- " <td>NaN</td>\n",
- " <td>577</td>\n",
- " <td>...</td>\n",
- " <td>502</td>\n",
- " <td>1229</td>\n",
- " <td>952</td>\n",
- " <td>867</td>\n",
- " <td>1021</td>\n",
- " <td>1052</td>\n",
- " <td>898</td>\n",
- " <td>1610</td>\n",
- " <td>1084</td>\n",
- " <td>578</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>38</th>\n",
- " <td>2020-09-18 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9523</td>\n",
- " <td>NaN</td>\n",
- " <td>9264</td>\n",
- " <td>NaN</td>\n",
- " <td>8663</td>\n",
- " <td>NaN</td>\n",
- " <td>575</td>\n",
- " <td>...</td>\n",
- " <td>465</td>\n",
- " <td>1287</td>\n",
- " <td>939</td>\n",
- " <td>795</td>\n",
- " <td>1051</td>\n",
- " <td>1023</td>\n",
- " <td>844</td>\n",
- " <td>1530</td>\n",
- " <td>1021</td>\n",
- " <td>555</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>39</th>\n",
- " <td>2020-09-25 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9634</td>\n",
- " <td>NaN</td>\n",
- " <td>9377</td>\n",
- " <td>NaN</td>\n",
- " <td>8744</td>\n",
- " <td>NaN</td>\n",
- " <td>604</td>\n",
- " <td>...</td>\n",
- " <td>514</td>\n",
- " <td>1271</td>\n",
- " <td>965</td>\n",
- " <td>825</td>\n",
- " <td>1036</td>\n",
- " <td>963</td>\n",
- " <td>869</td>\n",
- " <td>1521</td>\n",
- " <td>1041</td>\n",
- " <td>617</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>40</th>\n",
- " <td>2020-10-02 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9945</td>\n",
- " <td>NaN</td>\n",
- " <td>9555</td>\n",
- " <td>NaN</td>\n",
- " <td>8942</td>\n",
- " <td>NaN</td>\n",
- " <td>587</td>\n",
- " <td>...</td>\n",
- " <td>558</td>\n",
- " <td>1301</td>\n",
- " <td>978</td>\n",
- " <td>842</td>\n",
- " <td>1045</td>\n",
- " <td>1054</td>\n",
- " <td>899</td>\n",
- " <td>1577</td>\n",
- " <td>1003</td>\n",
- " <td>671</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>41</th>\n",
- " <td>2020-10-09 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9954</td>\n",
- " <td>NaN</td>\n",
- " <td>9811</td>\n",
- " <td>NaN</td>\n",
- " <td>9168</td>\n",
- " <td>NaN</td>\n",
- " <td>615</td>\n",
- " <td>...</td>\n",
- " <td>544</td>\n",
- " <td>1367</td>\n",
- " <td>1067</td>\n",
- " <td>884</td>\n",
- " <td>1053</td>\n",
- " <td>1019</td>\n",
- " <td>902</td>\n",
- " <td>1462</td>\n",
- " <td>1010</td>\n",
- " <td>638</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>42</th>\n",
- " <td>2020-10-16 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10534</td>\n",
- " <td>NaN</td>\n",
- " <td>9865</td>\n",
- " <td>NaN</td>\n",
- " <td>9215</td>\n",
- " <td>NaN</td>\n",
- " <td>630</td>\n",
- " <td>...</td>\n",
- " <td>606</td>\n",
- " <td>1553</td>\n",
- " <td>1001</td>\n",
- " <td>904</td>\n",
- " <td>1154</td>\n",
- " <td>1056</td>\n",
- " <td>923</td>\n",
- " <td>1462</td>\n",
- " <td>1174</td>\n",
- " <td>688</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>43</th>\n",
- " <td>2020-10-23 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10739</td>\n",
- " <td>NaN</td>\n",
- " <td>9759</td>\n",
- " <td>NaN</td>\n",
- " <td>9104</td>\n",
- " <td>NaN</td>\n",
- " <td>628</td>\n",
- " <td>...</td>\n",
- " <td>600</td>\n",
- " <td>1714</td>\n",
- " <td>1111</td>\n",
- " <td>891</td>\n",
- " <td>1124</td>\n",
- " <td>1154</td>\n",
- " <td>922</td>\n",
- " <td>1510</td>\n",
- " <td>1044</td>\n",
- " <td>661</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>44</th>\n",
- " <td>2020-10-30 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10887</td>\n",
- " <td>NaN</td>\n",
- " <td>9891</td>\n",
- " <td>NaN</td>\n",
- " <td>9248</td>\n",
- " <td>NaN</td>\n",
- " <td>616</td>\n",
- " <td>...</td>\n",
- " <td>591</td>\n",
- " <td>1754</td>\n",
- " <td>1168</td>\n",
- " <td>882</td>\n",
- " <td>1102</td>\n",
- " <td>1089</td>\n",
- " <td>888</td>\n",
- " <td>1563</td>\n",
- " <td>1129</td>\n",
- " <td>712</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>45</th>\n",
- " <td>2020-11-06 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>11812</td>\n",
- " <td>NaN</td>\n",
- " <td>10331</td>\n",
- " <td>NaN</td>\n",
- " <td>9675</td>\n",
- " <td>NaN</td>\n",
- " <td>625</td>\n",
- " <td>...</td>\n",
- " <td>675</td>\n",
- " <td>1900</td>\n",
- " <td>1294</td>\n",
- " <td>990</td>\n",
- " <td>1186</td>\n",
- " <td>1177</td>\n",
- " <td>952</td>\n",
- " <td>1614</td>\n",
- " <td>1174</td>\n",
- " <td>832</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>46</th>\n",
- " <td>2020-11-13 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>12254</td>\n",
- " <td>NaN</td>\n",
- " <td>10350</td>\n",
- " <td>NaN</td>\n",
- " <td>9662</td>\n",
- " <td>NaN</td>\n",
- " <td>658</td>\n",
- " <td>...</td>\n",
- " <td>711</td>\n",
- " <td>1950</td>\n",
- " <td>1350</td>\n",
- " <td>1099</td>\n",
- " <td>1317</td>\n",
- " <td>1172</td>\n",
- " <td>1112</td>\n",
- " <td>1616</td>\n",
- " <td>1168</td>\n",
- " <td>742</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>47</th>\n",
- " <td>2020-11-20 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>12535</td>\n",
- " <td>NaN</td>\n",
- " <td>10380</td>\n",
- " <td>NaN</td>\n",
- " <td>9701</td>\n",
- " <td>NaN</td>\n",
- " <td>653</td>\n",
- " <td>...</td>\n",
- " <td>691</td>\n",
- " <td>1935</td>\n",
- " <td>1441</td>\n",
- " <td>1105</td>\n",
- " <td>1385</td>\n",
- " <td>1186</td>\n",
- " <td>1086</td>\n",
- " <td>1687</td>\n",
- " <td>1159</td>\n",
- " <td>848</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>48</th>\n",
- " <td>2020-11-27 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>12456</td>\n",
- " <td>NaN</td>\n",
- " <td>10357</td>\n",
- " <td>NaN</td>\n",
- " <td>9690</td>\n",
- " <td>NaN</td>\n",
- " <td>646</td>\n",
- " <td>...</td>\n",
- " <td>679</td>\n",
- " <td>1791</td>\n",
- " <td>1501</td>\n",
- " <td>1218</td>\n",
- " <td>1358</td>\n",
- " <td>1159</td>\n",
- " <td>1012</td>\n",
- " <td>1655</td>\n",
- " <td>1272</td>\n",
- " <td>797</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>49</th>\n",
- " <td>2020-12-04 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>12303</td>\n",
- " <td>NaN</td>\n",
- " <td>10695</td>\n",
- " <td>NaN</td>\n",
- " <td>9995</td>\n",
- " <td>NaN</td>\n",
- " <td>679</td>\n",
- " <td>...</td>\n",
- " <td>645</td>\n",
- " <td>1679</td>\n",
- " <td>1403</td>\n",
- " <td>1121</td>\n",
- " <td>1340</td>\n",
- " <td>1229</td>\n",
- " <td>1029</td>\n",
- " <td>1720</td>\n",
- " <td>1284</td>\n",
- " <td>836</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>50</th>\n",
- " <td>2020-12-11 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>12292</td>\n",
- " <td>NaN</td>\n",
- " <td>10750</td>\n",
- " <td>NaN</td>\n",
- " <td>10034</td>\n",
- " <td>NaN</td>\n",
- " <td>693</td>\n",
- " <td>...</td>\n",
- " <td>661</td>\n",
- " <td>1691</td>\n",
- " <td>1326</td>\n",
- " <td>1199</td>\n",
- " <td>1432</td>\n",
- " <td>1224</td>\n",
- " <td>1065</td>\n",
- " <td>1706</td>\n",
- " <td>1156</td>\n",
- " <td>814</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>51</th>\n",
- " <td>2020-12-18 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>13011</td>\n",
- " <td>NaN</td>\n",
- " <td>11548</td>\n",
- " <td>NaN</td>\n",
- " <td>10804</td>\n",
- " <td>NaN</td>\n",
- " <td>718</td>\n",
- " <td>...</td>\n",
- " <td>689</td>\n",
- " <td>1718</td>\n",
- " <td>1380</td>\n",
- " <td>1199</td>\n",
- " <td>1385</td>\n",
- " <td>1317</td>\n",
- " <td>1167</td>\n",
- " <td>1947</td>\n",
- " <td>1311</td>\n",
- " <td>882</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>52</th>\n",
- " <td>2020-12-25 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>11520</td>\n",
- " <td>NaN</td>\n",
- " <td>7954</td>\n",
- " <td>NaN</td>\n",
- " <td>7421</td>\n",
- " <td>NaN</td>\n",
- " <td>518</td>\n",
- " <td>...</td>\n",
- " <td>669</td>\n",
- " <td>1463</td>\n",
- " <td>1130</td>\n",
- " <td>1097</td>\n",
- " <td>1217</td>\n",
- " <td>1198</td>\n",
- " <td>1090</td>\n",
- " <td>1701</td>\n",
- " <td>1115</td>\n",
- " <td>825</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>53</th>\n",
- " <td>2021-01-01 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10069</td>\n",
- " <td>NaN</td>\n",
- " <td>7954</td>\n",
- " <td>NaN</td>\n",
- " <td>7421</td>\n",
- " <td>NaN</td>\n",
- " <td>518</td>\n",
- " <td>...</td>\n",
- " <td>547</td>\n",
- " <td>1346</td>\n",
- " <td>886</td>\n",
- " <td>842</td>\n",
- " <td>1024</td>\n",
- " <td>997</td>\n",
- " <td>1159</td>\n",
- " <td>1595</td>\n",
- " <td>929</td>\n",
- " <td>727</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "<p>54 rows × 91 columns</p>\n",
- "</div>"
- ],
- "text/plain": [
- " NaN NaN NaN NaN \\\n",
- "Week number Week ended NaN NaN Total deaths, all ages \n",
- "1 2020-01-03 00:00:00 NaN NaN 12254 \n",
- "2 2020-01-10 00:00:00 NaN NaN 14058 \n",
- "3 2020-01-17 00:00:00 NaN NaN 12990 \n",
- "4 2020-01-24 00:00:00 NaN NaN 11856 \n",
- "5 2020-01-31 00:00:00 NaN NaN 11612 \n",
- "6 2020-02-07 00:00:00 NaN NaN 10986 \n",
- "7 2020-02-14 00:00:00 NaN NaN 10944 \n",
- "8 2020-02-21 00:00:00 NaN NaN 10841 \n",
- "9 2020-02-28 00:00:00 NaN NaN 10816 \n",
- "10 2020-03-06 00:00:00 NaN NaN 10895 \n",
- "11 2020-03-13 00:00:00 NaN NaN 11019 \n",
- "12 2020-03-20 00:00:00 NaN NaN 10645 \n",
- "13 2020-03-27 00:00:00 NaN NaN 11141 \n",
- "14 2020-04-03 00:00:00 NaN NaN 16387 \n",
- "15 2020-04-10 00:00:00 NaN NaN 18516 \n",
- "16 2020-04-17 00:00:00 NaN NaN 22351 \n",
- "17 2020-04-24 00:00:00 NaN NaN 21997 \n",
- "18 2020-05-01 00:00:00 NaN NaN 17953 \n",
- "19 2020-05-08 00:00:00 NaN NaN 12657 \n",
- "20 2020-05-15 00:00:00 NaN NaN 14573 \n",
- "21 2020-05-22 00:00:00 NaN NaN 12288 \n",
- "22 2020-05-29 00:00:00 NaN NaN 9824 \n",
- "23 2020-06-05 00:00:00 NaN NaN 10709 \n",
- "24 2020-06-12 00:00:00 NaN NaN 9976 \n",
- "25 2020-06-19 00:00:00 NaN NaN 9339 \n",
- "26 2020-06-26 00:00:00 NaN NaN 8979 \n",
- "27 2020-07-03 00:00:00 NaN NaN 9140 \n",
- "28 2020-07-10 00:00:00 NaN NaN 8690 \n",
- "29 2020-07-17 00:00:00 NaN NaN 8823 \n",
- "30 2020-07-24 00:00:00 NaN NaN 8891 \n",
- "31 2020-07-31 00:00:00 NaN NaN 8946 \n",
- "32 2020-08-07 00:00:00 NaN NaN 8945 \n",
- "33 2020-08-14 00:00:00 NaN NaN 9392 \n",
- "34 2020-08-21 00:00:00 NaN NaN 9631 \n",
- "35 2020-08-28 00:00:00 NaN NaN 9032 \n",
- "36 2020-09-04 00:00:00 NaN NaN 7739 \n",
- "37 2020-09-11 00:00:00 NaN NaN 9811 \n",
- "38 2020-09-18 00:00:00 NaN NaN 9523 \n",
- "39 2020-09-25 00:00:00 NaN NaN 9634 \n",
- "40 2020-10-02 00:00:00 NaN NaN 9945 \n",
- "41 2020-10-09 00:00:00 NaN NaN 9954 \n",
- "42 2020-10-16 00:00:00 NaN NaN 10534 \n",
- "43 2020-10-23 00:00:00 NaN NaN 10739 \n",
- "44 2020-10-30 00:00:00 NaN NaN 10887 \n",
- "45 2020-11-06 00:00:00 NaN NaN 11812 \n",
- "46 2020-11-13 00:00:00 NaN NaN 12254 \n",
- "47 2020-11-20 00:00:00 NaN NaN 12535 \n",
- "48 2020-11-27 00:00:00 NaN NaN 12456 \n",
- "49 2020-12-04 00:00:00 NaN NaN 12303 \n",
- "50 2020-12-11 00:00:00 NaN NaN 12292 \n",
- "51 2020-12-18 00:00:00 NaN NaN 13011 \n",
- "52 2020-12-25 00:00:00 NaN NaN 11520 \n",
- "53 2021-01-01 00:00:00 NaN NaN 10069 \n",
- "\n",
- " NaN \\\n",
- "Week number Total deaths: average of corresponding \n",
- "1 NaN \n",
- "2 NaN \n",
- "3 NaN \n",
- "4 NaN \n",
- "5 NaN \n",
- "6 NaN \n",
- "7 NaN \n",
- "8 NaN \n",
- "9 NaN \n",
- "10 NaN \n",
- "11 NaN \n",
- "12 NaN \n",
- "13 NaN \n",
- "14 NaN \n",
- "15 NaN \n",
- "16 NaN \n",
- "17 NaN \n",
- "18 NaN \n",
- "19 NaN \n",
- "20 NaN \n",
- "21 NaN \n",
- "22 NaN \n",
- "23 NaN \n",
- "24 NaN \n",
- "25 NaN \n",
- "26 NaN \n",
- "27 NaN \n",
- "28 NaN \n",
- "29 NaN \n",
- "30 NaN \n",
- "31 NaN \n",
- "32 NaN \n",
- "33 NaN \n",
- "34 NaN \n",
- "35 NaN \n",
- "36 NaN \n",
- "37 NaN \n",
- "38 NaN \n",
- "39 NaN \n",
- "40 NaN \n",
- "41 NaN \n",
- "42 NaN \n",
- "43 NaN \n",
- "44 NaN \n",
- "45 NaN \n",
- "46 NaN \n",
- "47 NaN \n",
- "48 NaN \n",
- "49 NaN \n",
- "50 NaN \n",
- "51 NaN \n",
- "52 NaN \n",
- "53 NaN \n",
- "\n",
- " NaN \\\n",
- "Week number week over the previous 5 years 1, 10, 11 (Engl... \n",
- "1 12175 \n",
- "2 13822 \n",
- "3 13216 \n",
- "4 12760 \n",
- "5 12206 \n",
- "6 11925 \n",
- "7 11627 \n",
- "8 11548 \n",
- "9 11183 \n",
- "10 11498 \n",
- "11 11205 \n",
- "12 10573 \n",
- "13 10130 \n",
- "14 10305 \n",
- "15 10520 \n",
- "16 10497 \n",
- "17 10458 \n",
- "18 9941 \n",
- "19 9576 \n",
- "20 10188 \n",
- "21 9940 \n",
- "22 8171 \n",
- "23 9977 \n",
- "24 9417 \n",
- "25 9404 \n",
- "26 9293 \n",
- "27 9183 \n",
- "28 9250 \n",
- "29 9093 \n",
- "30 9052 \n",
- "31 9036 \n",
- "32 9102 \n",
- "33 9085 \n",
- "34 9157 \n",
- "35 8241 \n",
- "36 9182 \n",
- "37 9306 \n",
- "38 9264 \n",
- "39 9377 \n",
- "40 9555 \n",
- "41 9811 \n",
- "42 9865 \n",
- "43 9759 \n",
- "44 9891 \n",
- "45 10331 \n",
- "46 10350 \n",
- "47 10380 \n",
- "48 10357 \n",
- "49 10695 \n",
- "50 10750 \n",
- "51 11548 \n",
- "52 7954 \n",
- "53 7954 \n",
- "\n",
- " NaN \\\n",
- "Week number Total deaths: average of corresponding \n",
- "1 NaN \n",
- "2 NaN \n",
- "3 NaN \n",
- "4 NaN \n",
- "5 NaN \n",
- "6 NaN \n",
- "7 NaN \n",
- "8 NaN \n",
- "9 NaN \n",
- "10 NaN \n",
- "11 NaN \n",
- "12 NaN \n",
- "13 NaN \n",
- "14 NaN \n",
- "15 NaN \n",
- "16 NaN \n",
- "17 NaN \n",
- "18 NaN \n",
- "19 NaN \n",
- "20 NaN \n",
- "21 NaN \n",
- "22 NaN \n",
- "23 NaN \n",
- "24 NaN \n",
- "25 NaN \n",
- "26 NaN \n",
- "27 NaN \n",
- "28 NaN \n",
- "29 NaN \n",
- "30 NaN \n",
- "31 NaN \n",
- "32 NaN \n",
- "33 NaN \n",
- "34 NaN \n",
- "35 NaN \n",
- "36 NaN \n",
- "37 NaN \n",
- "38 NaN \n",
- "39 NaN \n",
- "40 NaN \n",
- "41 NaN \n",
- "42 NaN \n",
- "43 NaN \n",
- "44 NaN \n",
- "45 NaN \n",
- "46 NaN \n",
- "47 NaN \n",
- "48 NaN \n",
- "49 NaN \n",
- "50 NaN \n",
- "51 NaN \n",
- "52 NaN \n",
- "53 NaN \n",
- "\n",
- " NaN \\\n",
- "Week number week over the previous 5 years 1, 10, 11 (Engl... \n",
- "1 11412 \n",
- "2 12933 \n",
- "3 12370 \n",
- "4 11933 \n",
- "5 11419 \n",
- "6 11154 \n",
- "7 10876 \n",
- "8 10790 \n",
- "9 10448 \n",
- "10 10745 \n",
- "11 10447 \n",
- "12 9841 \n",
- "13 9414 \n",
- "14 9601 \n",
- "15 9807 \n",
- "16 9787 \n",
- "17 9768 \n",
- "18 9289 \n",
- "19 8937 \n",
- "20 9526 \n",
- "21 9299 \n",
- "22 7607 \n",
- "23 9346 \n",
- "24 8803 \n",
- "25 8810 \n",
- "26 8695 \n",
- "27 8606 \n",
- "28 8648 \n",
- "29 8502 \n",
- "30 8452 \n",
- "31 8436 \n",
- "32 8502 \n",
- "33 8494 \n",
- "34 8560 \n",
- "35 7674 \n",
- "36 8604 \n",
- "37 8708 \n",
- "38 8663 \n",
- "39 8744 \n",
- "40 8942 \n",
- "41 9168 \n",
- "42 9215 \n",
- "43 9104 \n",
- "44 9248 \n",
- "45 9675 \n",
- "46 9662 \n",
- "47 9701 \n",
- "48 9690 \n",
- "49 9995 \n",
- "50 10034 \n",
- "51 10804 \n",
- "52 7421 \n",
- "53 7421 \n",
- "\n",
- " NaN \\\n",
- "Week number Total deaths: average of corresponding \n",
- "1 NaN \n",
- "2 NaN \n",
- "3 NaN \n",
- "4 NaN \n",
- "5 NaN \n",
- "6 NaN \n",
- "7 NaN \n",
- "8 NaN \n",
- "9 NaN \n",
- "10 NaN \n",
- "11 NaN \n",
- "12 NaN \n",
- "13 NaN \n",
- "14 NaN \n",
- "15 NaN \n",
- "16 NaN \n",
- "17 NaN \n",
- "18 NaN \n",
- "19 NaN \n",
- "20 NaN \n",
- "21 NaN \n",
- "22 NaN \n",
- "23 NaN \n",
- "24 NaN \n",
- "25 NaN \n",
- "26 NaN \n",
- "27 NaN \n",
- "28 NaN \n",
- "29 NaN \n",
- "30 NaN \n",
- "31 NaN \n",
- "32 NaN \n",
- "33 NaN \n",
- "34 NaN \n",
- "35 NaN \n",
- "36 NaN \n",
- "37 NaN \n",
- "38 NaN \n",
- "39 NaN \n",
- "40 NaN \n",
- "41 NaN \n",
- "42 NaN \n",
- "43 NaN \n",
- "44 NaN \n",
- "45 NaN \n",
- "46 NaN \n",
- "47 NaN \n",
- "48 NaN \n",
- "49 NaN \n",
- "50 NaN \n",
- "51 NaN \n",
- "52 NaN \n",
- "53 NaN \n",
- "\n",
- " NaN ... North East \\\n",
- "Week number week over the previous 5 years 1, 10, 11 (Wales) ... E12000001 \n",
- "1 756 ... 673 \n",
- "2 856 ... 707 \n",
- "3 812 ... 647 \n",
- "4 802 ... 612 \n",
- "5 760 ... 561 \n",
- "6 729 ... 564 \n",
- "7 722 ... 573 \n",
- "8 724 ... 539 \n",
- "9 698 ... 572 \n",
- "10 720 ... 568 \n",
- "11 727 ... 590 \n",
- "12 677 ... 522 \n",
- "13 665 ... 542 \n",
- "14 667 ... 770 \n",
- "15 671 ... 849 \n",
- "16 661 ... 1155 \n",
- "17 662 ... 1103 \n",
- "18 624 ... 922 \n",
- "19 612 ... 769 \n",
- "20 635 ... 845 \n",
- "21 614 ... 718 \n",
- "22 546 ... 550 \n",
- "23 610 ... 576 \n",
- "24 588 ... 478 \n",
- "25 573 ... 498 \n",
- "26 571 ... 485 \n",
- "27 555 ... 515 \n",
- "28 578 ... 468 \n",
- "29 557 ... 445 \n",
- "30 566 ... 493 \n",
- "31 572 ... 507 \n",
- "32 571 ... 486 \n",
- "33 564 ... 520 \n",
- "34 573 ... 479 \n",
- "35 539 ... 455 \n",
- "36 552 ... 431 \n",
- "37 577 ... 502 \n",
- "38 575 ... 465 \n",
- "39 604 ... 514 \n",
- "40 587 ... 558 \n",
- "41 615 ... 544 \n",
- "42 630 ... 606 \n",
- "43 628 ... 600 \n",
- "44 616 ... 591 \n",
- "45 625 ... 675 \n",
- "46 658 ... 711 \n",
- "47 653 ... 691 \n",
- "48 646 ... 679 \n",
- "49 679 ... 645 \n",
- "50 693 ... 661 \n",
- "51 718 ... 689 \n",
- "52 518 ... 669 \n",
- "53 518 ... 547 \n",
- "\n",
- " North West Yorkshire and The Humber East Midlands West Midlands \\\n",
- "Week number E12000002 E12000003 E12000004 E12000005 \n",
- "1 1806 1240 1060 1349 \n",
- "2 1932 1339 1195 1450 \n",
- "3 1696 1278 1106 1407 \n",
- "4 1529 1187 1024 1231 \n",
- "5 1461 1136 1015 1262 \n",
- "6 1529 1072 922 1052 \n",
- "7 1427 1059 976 1159 \n",
- "8 1477 1087 924 1116 \n",
- "9 1476 1078 919 1174 \n",
- "10 1490 1112 930 1098 \n",
- "11 1472 1053 915 1187 \n",
- "12 1443 1012 947 1115 \n",
- "13 1538 982 922 1035 \n",
- "14 2137 1436 1246 1812 \n",
- "15 2597 1503 1452 2182 \n",
- "16 3195 1960 1632 2536 \n",
- "17 3109 2095 1711 2481 \n",
- "18 2503 1844 1418 1975 \n",
- "19 1790 1328 1094 1326 \n",
- "20 1992 1589 1283 1502 \n",
- "21 1636 1236 1041 1319 \n",
- "22 1337 1046 863 970 \n",
- "23 1478 1090 931 1172 \n",
- "24 1374 980 967 1096 \n",
- "25 1234 952 835 973 \n",
- "26 1300 922 800 946 \n",
- "27 1225 875 827 949 \n",
- "28 1154 848 771 902 \n",
- "29 1159 843 816 956 \n",
- "30 1197 817 798 964 \n",
- "31 1272 837 729 902 \n",
- "32 1211 851 798 933 \n",
- "33 1304 853 829 923 \n",
- "34 1269 870 780 1028 \n",
- "35 1148 922 724 945 \n",
- "36 1057 780 640 770 \n",
- "37 1229 952 867 1021 \n",
- "38 1287 939 795 1051 \n",
- "39 1271 965 825 1036 \n",
- "40 1301 978 842 1045 \n",
- "41 1367 1067 884 1053 \n",
- "42 1553 1001 904 1154 \n",
- "43 1714 1111 891 1124 \n",
- "44 1754 1168 882 1102 \n",
- "45 1900 1294 990 1186 \n",
- "46 1950 1350 1099 1317 \n",
- "47 1935 1441 1105 1385 \n",
- "48 1791 1501 1218 1358 \n",
- "49 1679 1403 1121 1340 \n",
- "50 1691 1326 1199 1432 \n",
- "51 1718 1380 1199 1385 \n",
- "52 1463 1130 1097 1217 \n",
- "53 1346 886 842 1024 \n",
- "\n",
- " East London South East South West Wales \n",
- "Week number E12000006 E12000007 E12000008 E12000009 W92000004 \n",
- "1 1162 1113 1814 1225 787 \n",
- "2 1573 1272 2132 1487 939 \n",
- "3 1457 1073 2064 1466 767 \n",
- "4 1410 1028 1833 1253 723 \n",
- "5 1286 1092 1820 1233 727 \n",
- "6 1259 987 1729 1157 690 \n",
- "7 1172 967 1688 1169 728 \n",
- "8 1167 1032 1675 1118 679 \n",
- "9 1115 1085 1587 1133 651 \n",
- "10 1149 982 1726 1170 652 \n",
- "11 1211 964 1751 1174 675 \n",
- "12 1043 1008 1657 1156 719 \n",
- "13 1182 1297 1822 1092 719 \n",
- "14 1717 2511 2294 1520 920 \n",
- "15 1984 2832 2604 1560 928 \n",
- "16 2466 3275 3084 1854 1169 \n",
- "17 2299 2785 3334 1924 1124 \n",
- "18 1982 1953 2853 1554 929 \n",
- "19 1321 1213 1887 1218 692 \n",
- "20 1543 1329 2251 1449 772 \n",
- "21 1397 1125 1937 1177 692 \n",
- "22 1095 841 1515 1011 587 \n",
- "23 1131 891 1610 1116 700 \n",
- "24 1048 883 1530 1035 574 \n",
- "25 927 896 1411 990 617 \n",
- "26 880 791 1311 979 552 \n",
- "27 922 837 1454 938 584 \n",
- "28 999 803 1228 930 572 \n",
- "29 945 806 1339 953 550 \n",
- "30 951 816 1340 941 565 \n",
- "31 949 773 1447 988 531 \n",
- "32 955 832 1370 929 563 \n",
- "33 1006 928 1395 1009 617 \n",
- "34 1024 920 1608 1043 594 \n",
- "35 951 810 1511 959 591 \n",
- "36 806 737 1208 803 488 \n",
- "37 1052 898 1610 1084 578 \n",
- "38 1023 844 1530 1021 555 \n",
- "39 963 869 1521 1041 617 \n",
- "40 1054 899 1577 1003 671 \n",
- "41 1019 902 1462 1010 638 \n",
- "42 1056 923 1462 1174 688 \n",
- "43 1154 922 1510 1044 661 \n",
- "44 1089 888 1563 1129 712 \n",
- "45 1177 952 1614 1174 832 \n",
- "46 1172 1112 1616 1168 742 \n",
- "47 1186 1086 1687 1159 848 \n",
- "48 1159 1012 1655 1272 797 \n",
- "49 1229 1029 1720 1284 836 \n",
- "50 1224 1065 1706 1156 814 \n",
- "51 1317 1167 1947 1311 882 \n",
- "52 1198 1090 1701 1115 825 \n",
- "53 997 1159 1595 929 727 \n",
- "\n",
- "[54 rows x 91 columns]"
- ]
- },
- "execution_count": 432,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "eng_xls = pd.read_excel(england_wales_filename, \n",
- " sheet_name=\"Weekly figures 2020\",\n",
- " skiprows=[0, 1, 2, 3],\n",
- " header=0,\n",
- " index_col=[1]\n",
- " ).iloc[:91].T\n",
- "eng_xls"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 433,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# eng_xls_columns"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 434,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "eng_xls_columns = list(eng_xls.columns)\n",
- "\n",
- "for i, c in enumerate(eng_xls_columns):\n",
- "# print(i, c, type(c), isinstance(c, float))\n",
- " if isinstance(c, float) and np.isnan(c):\n",
- " if eng_xls.iloc[0].iloc[i] is not pd.NaT:\n",
- " eng_xls_columns[i] = eng_xls.iloc[0].iloc[i]\n",
- "\n",
- "# np.isnan(eng_xls_columns[0])\n",
- "# eng_xls_columns\n",
- "\n",
- "eng_xls.columns = eng_xls_columns\n",
- "# eng_xls.columns"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 435,
- "metadata": {
- "scrolled": true
- },
- "outputs": [
- {
- "data": {
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- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>Week ended</th>\n",
- " <th>NaN</th>\n",
- " <th>NaN</th>\n",
- " <th>Total deaths, all ages</th>\n",
- " <th>Total deaths: average of corresponding</th>\n",
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- " <th>Total deaths: average of corresponding</th>\n",
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- " <th>Total deaths: average of corresponding</th>\n",
- " <th>week over the previous 5 years 1, 10, 11 (Wales)</th>\n",
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- " <th>North East</th>\n",
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- " <th>London</th>\n",
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- " <tbody>\n",
- " <tr>\n",
- " <th>Week number</th>\n",
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- " <td>Total deaths: average of corresponding</td>\n",
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- " <td>Total deaths: average of corresponding</td>\n",
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- " <td>Total deaths: average of corresponding</td>\n",
- " <td>week over the previous 5 years 1, 10, 11 (Wales)</td>\n",
- " <td>...</td>\n",
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- " <td>E12000003</td>\n",
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- " <td>E12000007</td>\n",
- " <td>E12000008</td>\n",
- " <td>E12000009</td>\n",
- " <td>W92000004</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>2020-01-03 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>12254</td>\n",
- " <td>NaN</td>\n",
- " <td>12175</td>\n",
- " <td>NaN</td>\n",
- " <td>11412</td>\n",
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- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>2020-01-10 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>14058</td>\n",
- " <td>NaN</td>\n",
- " <td>13822</td>\n",
- " <td>NaN</td>\n",
- " <td>12933</td>\n",
- " <td>NaN</td>\n",
- " <td>856</td>\n",
- " <td>...</td>\n",
- " <td>707</td>\n",
- " <td>1932</td>\n",
- " <td>1339</td>\n",
- " <td>1195</td>\n",
- " <td>1450</td>\n",
- " <td>1573</td>\n",
- " <td>1272</td>\n",
- " <td>2132</td>\n",
- " <td>1487</td>\n",
- " <td>939</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>2020-01-17 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>12990</td>\n",
- " <td>NaN</td>\n",
- " <td>13216</td>\n",
- " <td>NaN</td>\n",
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- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>2020-01-24 00:00:00</td>\n",
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- " <td>1187</td>\n",
- " <td>1024</td>\n",
- " <td>1231</td>\n",
- " <td>1410</td>\n",
- " <td>1028</td>\n",
- " <td>1833</td>\n",
- " <td>1253</td>\n",
- " <td>723</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>5</th>\n",
- " <td>2020-01-31 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>11612</td>\n",
- " <td>NaN</td>\n",
- " <td>12206</td>\n",
- " <td>NaN</td>\n",
- " <td>11419</td>\n",
- " <td>NaN</td>\n",
- " <td>760</td>\n",
- " <td>...</td>\n",
- " <td>561</td>\n",
- " <td>1461</td>\n",
- " <td>1136</td>\n",
- " <td>1015</td>\n",
- " <td>1262</td>\n",
- " <td>1286</td>\n",
- " <td>1092</td>\n",
- " <td>1820</td>\n",
- " <td>1233</td>\n",
- " <td>727</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>6</th>\n",
- " <td>2020-02-07 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10986</td>\n",
- " <td>NaN</td>\n",
- " <td>11925</td>\n",
- " <td>NaN</td>\n",
- " <td>11154</td>\n",
- " <td>NaN</td>\n",
- " <td>729</td>\n",
- " <td>...</td>\n",
- " <td>564</td>\n",
- " <td>1529</td>\n",
- " <td>1072</td>\n",
- " <td>922</td>\n",
- " <td>1052</td>\n",
- " <td>1259</td>\n",
- " <td>987</td>\n",
- " <td>1729</td>\n",
- " <td>1157</td>\n",
- " <td>690</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>7</th>\n",
- " <td>2020-02-14 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10944</td>\n",
- " <td>NaN</td>\n",
- " <td>11627</td>\n",
- " <td>NaN</td>\n",
- " <td>10876</td>\n",
- " <td>NaN</td>\n",
- " <td>722</td>\n",
- " <td>...</td>\n",
- " <td>573</td>\n",
- " <td>1427</td>\n",
- " <td>1059</td>\n",
- " <td>976</td>\n",
- " <td>1159</td>\n",
- " <td>1172</td>\n",
- " <td>967</td>\n",
- " <td>1688</td>\n",
- " <td>1169</td>\n",
- " <td>728</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>8</th>\n",
- " <td>2020-02-21 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10841</td>\n",
- " <td>NaN</td>\n",
- " <td>11548</td>\n",
- " <td>NaN</td>\n",
- " <td>10790</td>\n",
- " <td>NaN</td>\n",
- " <td>724</td>\n",
- " <td>...</td>\n",
- " <td>539</td>\n",
- " <td>1477</td>\n",
- " <td>1087</td>\n",
- " <td>924</td>\n",
- " <td>1116</td>\n",
- " <td>1167</td>\n",
- " <td>1032</td>\n",
- " <td>1675</td>\n",
- " <td>1118</td>\n",
- " <td>679</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>9</th>\n",
- " <td>2020-02-28 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10816</td>\n",
- " <td>NaN</td>\n",
- " <td>11183</td>\n",
- " <td>NaN</td>\n",
- " <td>10448</td>\n",
- " <td>NaN</td>\n",
- " <td>698</td>\n",
- " <td>...</td>\n",
- " <td>572</td>\n",
- " <td>1476</td>\n",
- " <td>1078</td>\n",
- " <td>919</td>\n",
- " <td>1174</td>\n",
- " <td>1115</td>\n",
- " <td>1085</td>\n",
- " <td>1587</td>\n",
- " <td>1133</td>\n",
- " <td>651</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>10</th>\n",
- " <td>2020-03-06 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10895</td>\n",
- " <td>NaN</td>\n",
- " <td>11498</td>\n",
- " <td>NaN</td>\n",
- " <td>10745</td>\n",
- " <td>NaN</td>\n",
- " <td>720</td>\n",
- " <td>...</td>\n",
- " <td>568</td>\n",
- " <td>1490</td>\n",
- " <td>1112</td>\n",
- " <td>930</td>\n",
- " <td>1098</td>\n",
- " <td>1149</td>\n",
- " <td>982</td>\n",
- " <td>1726</td>\n",
- " <td>1170</td>\n",
- " <td>652</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>11</th>\n",
- " <td>2020-03-13 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>11019</td>\n",
- " <td>NaN</td>\n",
- " <td>11205</td>\n",
- " <td>NaN</td>\n",
- " <td>10447</td>\n",
- " <td>NaN</td>\n",
- " <td>727</td>\n",
- " <td>...</td>\n",
- " <td>590</td>\n",
- " <td>1472</td>\n",
- " <td>1053</td>\n",
- " <td>915</td>\n",
- " <td>1187</td>\n",
- " <td>1211</td>\n",
- " <td>964</td>\n",
- " <td>1751</td>\n",
- " <td>1174</td>\n",
- " <td>675</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>12</th>\n",
- " <td>2020-03-20 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10645</td>\n",
- " <td>NaN</td>\n",
- " <td>10573</td>\n",
- " <td>NaN</td>\n",
- " <td>9841</td>\n",
- " <td>NaN</td>\n",
- " <td>677</td>\n",
- " <td>...</td>\n",
- " <td>522</td>\n",
- " <td>1443</td>\n",
- " <td>1012</td>\n",
- " <td>947</td>\n",
- " <td>1115</td>\n",
- " <td>1043</td>\n",
- " <td>1008</td>\n",
- " <td>1657</td>\n",
- " <td>1156</td>\n",
- " <td>719</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>13</th>\n",
- " <td>2020-03-27 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>11141</td>\n",
- " <td>NaN</td>\n",
- " <td>10130</td>\n",
- " <td>NaN</td>\n",
- " <td>9414</td>\n",
- " <td>NaN</td>\n",
- " <td>665</td>\n",
- " <td>...</td>\n",
- " <td>542</td>\n",
- " <td>1538</td>\n",
- " <td>982</td>\n",
- " <td>922</td>\n",
- " <td>1035</td>\n",
- " <td>1182</td>\n",
- " <td>1297</td>\n",
- " <td>1822</td>\n",
- " <td>1092</td>\n",
- " <td>719</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>14</th>\n",
- " <td>2020-04-03 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>16387</td>\n",
- " <td>NaN</td>\n",
- " <td>10305</td>\n",
- " <td>NaN</td>\n",
- " <td>9601</td>\n",
- " <td>NaN</td>\n",
- " <td>667</td>\n",
- " <td>...</td>\n",
- " <td>770</td>\n",
- " <td>2137</td>\n",
- " <td>1436</td>\n",
- " <td>1246</td>\n",
- " <td>1812</td>\n",
- " <td>1717</td>\n",
- " <td>2511</td>\n",
- " <td>2294</td>\n",
- " <td>1520</td>\n",
- " <td>920</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>15</th>\n",
- " <td>2020-04-10 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>18516</td>\n",
- " <td>NaN</td>\n",
- " <td>10520</td>\n",
- " <td>NaN</td>\n",
- " <td>9807</td>\n",
- " <td>NaN</td>\n",
- " <td>671</td>\n",
- " <td>...</td>\n",
- " <td>849</td>\n",
- " <td>2597</td>\n",
- " <td>1503</td>\n",
- " <td>1452</td>\n",
- " <td>2182</td>\n",
- " <td>1984</td>\n",
- " <td>2832</td>\n",
- " <td>2604</td>\n",
- " <td>1560</td>\n",
- " <td>928</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>16</th>\n",
- " <td>2020-04-17 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>22351</td>\n",
- " <td>NaN</td>\n",
- " <td>10497</td>\n",
- " <td>NaN</td>\n",
- " <td>9787</td>\n",
- " <td>NaN</td>\n",
- " <td>661</td>\n",
- " <td>...</td>\n",
- " <td>1155</td>\n",
- " <td>3195</td>\n",
- " <td>1960</td>\n",
- " <td>1632</td>\n",
- " <td>2536</td>\n",
- " <td>2466</td>\n",
- " <td>3275</td>\n",
- " <td>3084</td>\n",
- " <td>1854</td>\n",
- " <td>1169</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>17</th>\n",
- " <td>2020-04-24 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>21997</td>\n",
- " <td>NaN</td>\n",
- " <td>10458</td>\n",
- " <td>NaN</td>\n",
- " <td>9768</td>\n",
- " <td>NaN</td>\n",
- " <td>662</td>\n",
- " <td>...</td>\n",
- " <td>1103</td>\n",
- " <td>3109</td>\n",
- " <td>2095</td>\n",
- " <td>1711</td>\n",
- " <td>2481</td>\n",
- " <td>2299</td>\n",
- " <td>2785</td>\n",
- " <td>3334</td>\n",
- " <td>1924</td>\n",
- " <td>1124</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>18</th>\n",
- " <td>2020-05-01 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>17953</td>\n",
- " <td>NaN</td>\n",
- " <td>9941</td>\n",
- " <td>NaN</td>\n",
- " <td>9289</td>\n",
- " <td>NaN</td>\n",
- " <td>624</td>\n",
- " <td>...</td>\n",
- " <td>922</td>\n",
- " <td>2503</td>\n",
- " <td>1844</td>\n",
- " <td>1418</td>\n",
- " <td>1975</td>\n",
- " <td>1982</td>\n",
- " <td>1953</td>\n",
- " <td>2853</td>\n",
- " <td>1554</td>\n",
- " <td>929</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>19</th>\n",
- " <td>2020-05-08 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>12657</td>\n",
- " <td>NaN</td>\n",
- " <td>9576</td>\n",
- " <td>NaN</td>\n",
- " <td>8937</td>\n",
- " <td>NaN</td>\n",
- " <td>612</td>\n",
- " <td>...</td>\n",
- " <td>769</td>\n",
- " <td>1790</td>\n",
- " <td>1328</td>\n",
- " <td>1094</td>\n",
- " <td>1326</td>\n",
- " <td>1321</td>\n",
- " <td>1213</td>\n",
- " <td>1887</td>\n",
- " <td>1218</td>\n",
- " <td>692</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>20</th>\n",
- " <td>2020-05-15 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>14573</td>\n",
- " <td>NaN</td>\n",
- " <td>10188</td>\n",
- " <td>NaN</td>\n",
- " <td>9526</td>\n",
- " <td>NaN</td>\n",
- " <td>635</td>\n",
- " <td>...</td>\n",
- " <td>845</td>\n",
- " <td>1992</td>\n",
- " <td>1589</td>\n",
- " <td>1283</td>\n",
- " <td>1502</td>\n",
- " <td>1543</td>\n",
- " <td>1329</td>\n",
- " <td>2251</td>\n",
- " <td>1449</td>\n",
- " <td>772</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>21</th>\n",
- " <td>2020-05-22 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>12288</td>\n",
- " <td>NaN</td>\n",
- " <td>9940</td>\n",
- " <td>NaN</td>\n",
- " <td>9299</td>\n",
- " <td>NaN</td>\n",
- " <td>614</td>\n",
- " <td>...</td>\n",
- " <td>718</td>\n",
- " <td>1636</td>\n",
- " <td>1236</td>\n",
- " <td>1041</td>\n",
- " <td>1319</td>\n",
- " <td>1397</td>\n",
- " <td>1125</td>\n",
- " <td>1937</td>\n",
- " <td>1177</td>\n",
- " <td>692</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>22</th>\n",
- " <td>2020-05-29 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9824</td>\n",
- " <td>NaN</td>\n",
- " <td>8171</td>\n",
- " <td>NaN</td>\n",
- " <td>7607</td>\n",
- " <td>NaN</td>\n",
- " <td>546</td>\n",
- " <td>...</td>\n",
- " <td>550</td>\n",
- " <td>1337</td>\n",
- " <td>1046</td>\n",
- " <td>863</td>\n",
- " <td>970</td>\n",
- " <td>1095</td>\n",
- " <td>841</td>\n",
- " <td>1515</td>\n",
- " <td>1011</td>\n",
- " <td>587</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>23</th>\n",
- " <td>2020-06-05 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10709</td>\n",
- " <td>NaN</td>\n",
- " <td>9977</td>\n",
- " <td>NaN</td>\n",
- " <td>9346</td>\n",
- " <td>NaN</td>\n",
- " <td>610</td>\n",
- " <td>...</td>\n",
- " <td>576</td>\n",
- " <td>1478</td>\n",
- " <td>1090</td>\n",
- " <td>931</td>\n",
- " <td>1172</td>\n",
- " <td>1131</td>\n",
- " <td>891</td>\n",
- " <td>1610</td>\n",
- " <td>1116</td>\n",
- " <td>700</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>24</th>\n",
- " <td>2020-06-12 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9976</td>\n",
- " <td>NaN</td>\n",
- " <td>9417</td>\n",
- " <td>NaN</td>\n",
- " <td>8803</td>\n",
- " <td>NaN</td>\n",
- " <td>588</td>\n",
- " <td>...</td>\n",
- " <td>478</td>\n",
- " <td>1374</td>\n",
- " <td>980</td>\n",
- " <td>967</td>\n",
- " <td>1096</td>\n",
- " <td>1048</td>\n",
- " <td>883</td>\n",
- " <td>1530</td>\n",
- " <td>1035</td>\n",
- " <td>574</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>25</th>\n",
- " <td>2020-06-19 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9339</td>\n",
- " <td>NaN</td>\n",
- " <td>9404</td>\n",
- " <td>NaN</td>\n",
- " <td>8810</td>\n",
- " <td>NaN</td>\n",
- " <td>573</td>\n",
- " <td>...</td>\n",
- " <td>498</td>\n",
- " <td>1234</td>\n",
- " <td>952</td>\n",
- " <td>835</td>\n",
- " <td>973</td>\n",
- " <td>927</td>\n",
- " <td>896</td>\n",
- " <td>1411</td>\n",
- " <td>990</td>\n",
- " <td>617</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>26</th>\n",
- " <td>2020-06-26 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>8979</td>\n",
- " <td>NaN</td>\n",
- " <td>9293</td>\n",
- " <td>NaN</td>\n",
- " <td>8695</td>\n",
- " <td>NaN</td>\n",
- " <td>571</td>\n",
- " <td>...</td>\n",
- " <td>485</td>\n",
- " <td>1300</td>\n",
- " <td>922</td>\n",
- " <td>800</td>\n",
- " <td>946</td>\n",
- " <td>880</td>\n",
- " <td>791</td>\n",
- " <td>1311</td>\n",
- " <td>979</td>\n",
- " <td>552</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>27</th>\n",
- " <td>2020-07-03 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9140</td>\n",
- " <td>NaN</td>\n",
- " <td>9183</td>\n",
- " <td>NaN</td>\n",
- " <td>8606</td>\n",
- " <td>NaN</td>\n",
- " <td>555</td>\n",
- " <td>...</td>\n",
- " <td>515</td>\n",
- " <td>1225</td>\n",
- " <td>875</td>\n",
- " <td>827</td>\n",
- " <td>949</td>\n",
- " <td>922</td>\n",
- " <td>837</td>\n",
- " <td>1454</td>\n",
- " <td>938</td>\n",
- " <td>584</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>28</th>\n",
- " <td>2020-07-10 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>8690</td>\n",
- " <td>NaN</td>\n",
- " <td>9250</td>\n",
- " <td>NaN</td>\n",
- " <td>8648</td>\n",
- " <td>NaN</td>\n",
- " <td>578</td>\n",
- " <td>...</td>\n",
- " <td>468</td>\n",
- " <td>1154</td>\n",
- " <td>848</td>\n",
- " <td>771</td>\n",
- " <td>902</td>\n",
- " <td>999</td>\n",
- " <td>803</td>\n",
- " <td>1228</td>\n",
- " <td>930</td>\n",
- " <td>572</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>29</th>\n",
- " <td>2020-07-17 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>8823</td>\n",
- " <td>NaN</td>\n",
- " <td>9093</td>\n",
- " <td>NaN</td>\n",
- " <td>8502</td>\n",
- " <td>NaN</td>\n",
- " <td>557</td>\n",
- " <td>...</td>\n",
- " <td>445</td>\n",
- " <td>1159</td>\n",
- " <td>843</td>\n",
- " <td>816</td>\n",
- " <td>956</td>\n",
- " <td>945</td>\n",
- " <td>806</td>\n",
- " <td>1339</td>\n",
- " <td>953</td>\n",
- " <td>550</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>30</th>\n",
- " <td>2020-07-24 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>8891</td>\n",
- " <td>NaN</td>\n",
- " <td>9052</td>\n",
- " <td>NaN</td>\n",
- " <td>8452</td>\n",
- " <td>NaN</td>\n",
- " <td>566</td>\n",
- " <td>...</td>\n",
- " <td>493</td>\n",
- " <td>1197</td>\n",
- " <td>817</td>\n",
- " <td>798</td>\n",
- " <td>964</td>\n",
- " <td>951</td>\n",
- " <td>816</td>\n",
- " <td>1340</td>\n",
- " <td>941</td>\n",
- " <td>565</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>31</th>\n",
- " <td>2020-07-31 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>8946</td>\n",
- " <td>NaN</td>\n",
- " <td>9036</td>\n",
- " <td>NaN</td>\n",
- " <td>8436</td>\n",
- " <td>NaN</td>\n",
- " <td>572</td>\n",
- " <td>...</td>\n",
- " <td>507</td>\n",
- " <td>1272</td>\n",
- " <td>837</td>\n",
- " <td>729</td>\n",
- " <td>902</td>\n",
- " <td>949</td>\n",
- " <td>773</td>\n",
- " <td>1447</td>\n",
- " <td>988</td>\n",
- " <td>531</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>32</th>\n",
- " <td>2020-08-07 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>8945</td>\n",
- " <td>NaN</td>\n",
- " <td>9102</td>\n",
- " <td>NaN</td>\n",
- " <td>8502</td>\n",
- " <td>NaN</td>\n",
- " <td>571</td>\n",
- " <td>...</td>\n",
- " <td>486</td>\n",
- " <td>1211</td>\n",
- " <td>851</td>\n",
- " <td>798</td>\n",
- " <td>933</td>\n",
- " <td>955</td>\n",
- " <td>832</td>\n",
- " <td>1370</td>\n",
- " <td>929</td>\n",
- " <td>563</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>33</th>\n",
- " <td>2020-08-14 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9392</td>\n",
- " <td>NaN</td>\n",
- " <td>9085</td>\n",
- " <td>NaN</td>\n",
- " <td>8494</td>\n",
- " <td>NaN</td>\n",
- " <td>564</td>\n",
- " <td>...</td>\n",
- " <td>520</td>\n",
- " <td>1304</td>\n",
- " <td>853</td>\n",
- " <td>829</td>\n",
- " <td>923</td>\n",
- " <td>1006</td>\n",
- " <td>928</td>\n",
- " <td>1395</td>\n",
- " <td>1009</td>\n",
- " <td>617</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>34</th>\n",
- " <td>2020-08-21 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9631</td>\n",
- " <td>NaN</td>\n",
- " <td>9157</td>\n",
- " <td>NaN</td>\n",
- " <td>8560</td>\n",
- " <td>NaN</td>\n",
- " <td>573</td>\n",
- " <td>...</td>\n",
- " <td>479</td>\n",
- " <td>1269</td>\n",
- " <td>870</td>\n",
- " <td>780</td>\n",
- " <td>1028</td>\n",
- " <td>1024</td>\n",
- " <td>920</td>\n",
- " <td>1608</td>\n",
- " <td>1043</td>\n",
- " <td>594</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>35</th>\n",
- " <td>2020-08-28 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9032</td>\n",
- " <td>NaN</td>\n",
- " <td>8241</td>\n",
- " <td>NaN</td>\n",
- " <td>7674</td>\n",
- " <td>NaN</td>\n",
- " <td>539</td>\n",
- " <td>...</td>\n",
- " <td>455</td>\n",
- " <td>1148</td>\n",
- " <td>922</td>\n",
- " <td>724</td>\n",
- " <td>945</td>\n",
- " <td>951</td>\n",
- " <td>810</td>\n",
- " <td>1511</td>\n",
- " <td>959</td>\n",
- " <td>591</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>36</th>\n",
- " <td>2020-09-04 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>7739</td>\n",
- " <td>NaN</td>\n",
- " <td>9182</td>\n",
- " <td>NaN</td>\n",
- " <td>8604</td>\n",
- " <td>NaN</td>\n",
- " <td>552</td>\n",
- " <td>...</td>\n",
- " <td>431</td>\n",
- " <td>1057</td>\n",
- " <td>780</td>\n",
- " <td>640</td>\n",
- " <td>770</td>\n",
- " <td>806</td>\n",
- " <td>737</td>\n",
- " <td>1208</td>\n",
- " <td>803</td>\n",
- " <td>488</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>37</th>\n",
- " <td>2020-09-11 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9811</td>\n",
- " <td>NaN</td>\n",
- " <td>9306</td>\n",
- " <td>NaN</td>\n",
- " <td>8708</td>\n",
- " <td>NaN</td>\n",
- " <td>577</td>\n",
- " <td>...</td>\n",
- " <td>502</td>\n",
- " <td>1229</td>\n",
- " <td>952</td>\n",
- " <td>867</td>\n",
- " <td>1021</td>\n",
- " <td>1052</td>\n",
- " <td>898</td>\n",
- " <td>1610</td>\n",
- " <td>1084</td>\n",
- " <td>578</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>38</th>\n",
- " <td>2020-09-18 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9523</td>\n",
- " <td>NaN</td>\n",
- " <td>9264</td>\n",
- " <td>NaN</td>\n",
- " <td>8663</td>\n",
- " <td>NaN</td>\n",
- " <td>575</td>\n",
- " <td>...</td>\n",
- " <td>465</td>\n",
- " <td>1287</td>\n",
- " <td>939</td>\n",
- " <td>795</td>\n",
- " <td>1051</td>\n",
- " <td>1023</td>\n",
- " <td>844</td>\n",
- " <td>1530</td>\n",
- " <td>1021</td>\n",
- " <td>555</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>39</th>\n",
- " <td>2020-09-25 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9634</td>\n",
- " <td>NaN</td>\n",
- " <td>9377</td>\n",
- " <td>NaN</td>\n",
- " <td>8744</td>\n",
- " <td>NaN</td>\n",
- " <td>604</td>\n",
- " <td>...</td>\n",
- " <td>514</td>\n",
- " <td>1271</td>\n",
- " <td>965</td>\n",
- " <td>825</td>\n",
- " <td>1036</td>\n",
- " <td>963</td>\n",
- " <td>869</td>\n",
- " <td>1521</td>\n",
- " <td>1041</td>\n",
- " <td>617</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>40</th>\n",
- " <td>2020-10-02 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9945</td>\n",
- " <td>NaN</td>\n",
- " <td>9555</td>\n",
- " <td>NaN</td>\n",
- " <td>8942</td>\n",
- " <td>NaN</td>\n",
- " <td>587</td>\n",
- " <td>...</td>\n",
- " <td>558</td>\n",
- " <td>1301</td>\n",
- " <td>978</td>\n",
- " <td>842</td>\n",
- " <td>1045</td>\n",
- " <td>1054</td>\n",
- " <td>899</td>\n",
- " <td>1577</td>\n",
- " <td>1003</td>\n",
- " <td>671</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>41</th>\n",
- " <td>2020-10-09 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9954</td>\n",
- " <td>NaN</td>\n",
- " <td>9811</td>\n",
- " <td>NaN</td>\n",
- " <td>9168</td>\n",
- " <td>NaN</td>\n",
- " <td>615</td>\n",
- " <td>...</td>\n",
- " <td>544</td>\n",
- " <td>1367</td>\n",
- " <td>1067</td>\n",
- " <td>884</td>\n",
- " <td>1053</td>\n",
- " <td>1019</td>\n",
- " <td>902</td>\n",
- " <td>1462</td>\n",
- " <td>1010</td>\n",
- " <td>638</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>42</th>\n",
- " <td>2020-10-16 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10534</td>\n",
- " <td>NaN</td>\n",
- " <td>9865</td>\n",
- " <td>NaN</td>\n",
- " <td>9215</td>\n",
- " <td>NaN</td>\n",
- " <td>630</td>\n",
- " <td>...</td>\n",
- " <td>606</td>\n",
- " <td>1553</td>\n",
- " <td>1001</td>\n",
- " <td>904</td>\n",
- " <td>1154</td>\n",
- " <td>1056</td>\n",
- " <td>923</td>\n",
- " <td>1462</td>\n",
- " <td>1174</td>\n",
- " <td>688</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>43</th>\n",
- " <td>2020-10-23 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10739</td>\n",
- " <td>NaN</td>\n",
- " <td>9759</td>\n",
- " <td>NaN</td>\n",
- " <td>9104</td>\n",
- " <td>NaN</td>\n",
- " <td>628</td>\n",
- " <td>...</td>\n",
- " <td>600</td>\n",
- " <td>1714</td>\n",
- " <td>1111</td>\n",
- " <td>891</td>\n",
- " <td>1124</td>\n",
- " <td>1154</td>\n",
- " <td>922</td>\n",
- " <td>1510</td>\n",
- " <td>1044</td>\n",
- " <td>661</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>44</th>\n",
- " <td>2020-10-30 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10887</td>\n",
- " <td>NaN</td>\n",
- " <td>9891</td>\n",
- " <td>NaN</td>\n",
- " <td>9248</td>\n",
- " <td>NaN</td>\n",
- " <td>616</td>\n",
- " <td>...</td>\n",
- " <td>591</td>\n",
- " <td>1754</td>\n",
- " <td>1168</td>\n",
- " <td>882</td>\n",
- " <td>1102</td>\n",
- " <td>1089</td>\n",
- " <td>888</td>\n",
- " <td>1563</td>\n",
- " <td>1129</td>\n",
- " <td>712</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>45</th>\n",
- " <td>2020-11-06 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>11812</td>\n",
- " <td>NaN</td>\n",
- " <td>10331</td>\n",
- " <td>NaN</td>\n",
- " <td>9675</td>\n",
- " <td>NaN</td>\n",
- " <td>625</td>\n",
- " <td>...</td>\n",
- " <td>675</td>\n",
- " <td>1900</td>\n",
- " <td>1294</td>\n",
- " <td>990</td>\n",
- " <td>1186</td>\n",
- " <td>1177</td>\n",
- " <td>952</td>\n",
- " <td>1614</td>\n",
- " <td>1174</td>\n",
- " <td>832</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>46</th>\n",
- " <td>2020-11-13 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>12254</td>\n",
- " <td>NaN</td>\n",
- " <td>10350</td>\n",
- " <td>NaN</td>\n",
- " <td>9662</td>\n",
- " <td>NaN</td>\n",
- " <td>658</td>\n",
- " <td>...</td>\n",
- " <td>711</td>\n",
- " <td>1950</td>\n",
- " <td>1350</td>\n",
- " <td>1099</td>\n",
- " <td>1317</td>\n",
- " <td>1172</td>\n",
- " <td>1112</td>\n",
- " <td>1616</td>\n",
- " <td>1168</td>\n",
- " <td>742</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>47</th>\n",
- " <td>2020-11-20 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>12535</td>\n",
- " <td>NaN</td>\n",
- " <td>10380</td>\n",
- " <td>NaN</td>\n",
- " <td>9701</td>\n",
- " <td>NaN</td>\n",
- " <td>653</td>\n",
- " <td>...</td>\n",
- " <td>691</td>\n",
- " <td>1935</td>\n",
- " <td>1441</td>\n",
- " <td>1105</td>\n",
- " <td>1385</td>\n",
- " <td>1186</td>\n",
- " <td>1086</td>\n",
- " <td>1687</td>\n",
- " <td>1159</td>\n",
- " <td>848</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>48</th>\n",
- " <td>2020-11-27 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>12456</td>\n",
- " <td>NaN</td>\n",
- " <td>10357</td>\n",
- " <td>NaN</td>\n",
- " <td>9690</td>\n",
- " <td>NaN</td>\n",
- " <td>646</td>\n",
- " <td>...</td>\n",
- " <td>679</td>\n",
- " <td>1791</td>\n",
- " <td>1501</td>\n",
- " <td>1218</td>\n",
- " <td>1358</td>\n",
- " <td>1159</td>\n",
- " <td>1012</td>\n",
- " <td>1655</td>\n",
- " <td>1272</td>\n",
- " <td>797</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>49</th>\n",
- " <td>2020-12-04 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>12303</td>\n",
- " <td>NaN</td>\n",
- " <td>10695</td>\n",
- " <td>NaN</td>\n",
- " <td>9995</td>\n",
- " <td>NaN</td>\n",
- " <td>679</td>\n",
- " <td>...</td>\n",
- " <td>645</td>\n",
- " <td>1679</td>\n",
- " <td>1403</td>\n",
- " <td>1121</td>\n",
- " <td>1340</td>\n",
- " <td>1229</td>\n",
- " <td>1029</td>\n",
- " <td>1720</td>\n",
- " <td>1284</td>\n",
- " <td>836</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>50</th>\n",
- " <td>2020-12-11 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>12292</td>\n",
- " <td>NaN</td>\n",
- " <td>10750</td>\n",
- " <td>NaN</td>\n",
- " <td>10034</td>\n",
- " <td>NaN</td>\n",
- " <td>693</td>\n",
- " <td>...</td>\n",
- " <td>661</td>\n",
- " <td>1691</td>\n",
- " <td>1326</td>\n",
- " <td>1199</td>\n",
- " <td>1432</td>\n",
- " <td>1224</td>\n",
- " <td>1065</td>\n",
- " <td>1706</td>\n",
- " <td>1156</td>\n",
- " <td>814</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>51</th>\n",
- " <td>2020-12-18 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>13011</td>\n",
- " <td>NaN</td>\n",
- " <td>11548</td>\n",
- " <td>NaN</td>\n",
- " <td>10804</td>\n",
- " <td>NaN</td>\n",
- " <td>718</td>\n",
- " <td>...</td>\n",
- " <td>689</td>\n",
- " <td>1718</td>\n",
- " <td>1380</td>\n",
- " <td>1199</td>\n",
- " <td>1385</td>\n",
- " <td>1317</td>\n",
- " <td>1167</td>\n",
- " <td>1947</td>\n",
- " <td>1311</td>\n",
- " <td>882</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>52</th>\n",
- " <td>2020-12-25 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>11520</td>\n",
- " <td>NaN</td>\n",
- " <td>7954</td>\n",
- " <td>NaN</td>\n",
- " <td>7421</td>\n",
- " <td>NaN</td>\n",
- " <td>518</td>\n",
- " <td>...</td>\n",
- " <td>669</td>\n",
- " <td>1463</td>\n",
- " <td>1130</td>\n",
- " <td>1097</td>\n",
- " <td>1217</td>\n",
- " <td>1198</td>\n",
- " <td>1090</td>\n",
- " <td>1701</td>\n",
- " <td>1115</td>\n",
- " <td>825</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>53</th>\n",
- " <td>2021-01-01 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10069</td>\n",
- " <td>NaN</td>\n",
- " <td>7954</td>\n",
- " <td>NaN</td>\n",
- " <td>7421</td>\n",
- " <td>NaN</td>\n",
- " <td>518</td>\n",
- " <td>...</td>\n",
- " <td>547</td>\n",
- " <td>1346</td>\n",
- " <td>886</td>\n",
- " <td>842</td>\n",
- " <td>1024</td>\n",
- " <td>997</td>\n",
- " <td>1159</td>\n",
- " <td>1595</td>\n",
- " <td>929</td>\n",
- " <td>727</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "<p>54 rows × 91 columns</p>\n",
- "</div>"
- ],
- "text/plain": [
- " Week ended NaN NaN Total deaths, all ages \\\n",
- "Week number Week ended NaN NaN Total deaths, all ages \n",
- "1 2020-01-03 00:00:00 NaN NaN 12254 \n",
- "2 2020-01-10 00:00:00 NaN NaN 14058 \n",
- "3 2020-01-17 00:00:00 NaN NaN 12990 \n",
- "4 2020-01-24 00:00:00 NaN NaN 11856 \n",
- "5 2020-01-31 00:00:00 NaN NaN 11612 \n",
- "6 2020-02-07 00:00:00 NaN NaN 10986 \n",
- "7 2020-02-14 00:00:00 NaN NaN 10944 \n",
- "8 2020-02-21 00:00:00 NaN NaN 10841 \n",
- "9 2020-02-28 00:00:00 NaN NaN 10816 \n",
- "10 2020-03-06 00:00:00 NaN NaN 10895 \n",
- "11 2020-03-13 00:00:00 NaN NaN 11019 \n",
- "12 2020-03-20 00:00:00 NaN NaN 10645 \n",
- "13 2020-03-27 00:00:00 NaN NaN 11141 \n",
- "14 2020-04-03 00:00:00 NaN NaN 16387 \n",
- "15 2020-04-10 00:00:00 NaN NaN 18516 \n",
- "16 2020-04-17 00:00:00 NaN NaN 22351 \n",
- "17 2020-04-24 00:00:00 NaN NaN 21997 \n",
- "18 2020-05-01 00:00:00 NaN NaN 17953 \n",
- "19 2020-05-08 00:00:00 NaN NaN 12657 \n",
- "20 2020-05-15 00:00:00 NaN NaN 14573 \n",
- "21 2020-05-22 00:00:00 NaN NaN 12288 \n",
- "22 2020-05-29 00:00:00 NaN NaN 9824 \n",
- "23 2020-06-05 00:00:00 NaN NaN 10709 \n",
- "24 2020-06-12 00:00:00 NaN NaN 9976 \n",
- "25 2020-06-19 00:00:00 NaN NaN 9339 \n",
- "26 2020-06-26 00:00:00 NaN NaN 8979 \n",
- "27 2020-07-03 00:00:00 NaN NaN 9140 \n",
- "28 2020-07-10 00:00:00 NaN NaN 8690 \n",
- "29 2020-07-17 00:00:00 NaN NaN 8823 \n",
- "30 2020-07-24 00:00:00 NaN NaN 8891 \n",
- "31 2020-07-31 00:00:00 NaN NaN 8946 \n",
- "32 2020-08-07 00:00:00 NaN NaN 8945 \n",
- "33 2020-08-14 00:00:00 NaN NaN 9392 \n",
- "34 2020-08-21 00:00:00 NaN NaN 9631 \n",
- "35 2020-08-28 00:00:00 NaN NaN 9032 \n",
- "36 2020-09-04 00:00:00 NaN NaN 7739 \n",
- "37 2020-09-11 00:00:00 NaN NaN 9811 \n",
- "38 2020-09-18 00:00:00 NaN NaN 9523 \n",
- "39 2020-09-25 00:00:00 NaN NaN 9634 \n",
- "40 2020-10-02 00:00:00 NaN NaN 9945 \n",
- "41 2020-10-09 00:00:00 NaN NaN 9954 \n",
- "42 2020-10-16 00:00:00 NaN NaN 10534 \n",
- "43 2020-10-23 00:00:00 NaN NaN 10739 \n",
- "44 2020-10-30 00:00:00 NaN NaN 10887 \n",
- "45 2020-11-06 00:00:00 NaN NaN 11812 \n",
- "46 2020-11-13 00:00:00 NaN NaN 12254 \n",
- "47 2020-11-20 00:00:00 NaN NaN 12535 \n",
- "48 2020-11-27 00:00:00 NaN NaN 12456 \n",
- "49 2020-12-04 00:00:00 NaN NaN 12303 \n",
- "50 2020-12-11 00:00:00 NaN NaN 12292 \n",
- "51 2020-12-18 00:00:00 NaN NaN 13011 \n",
- "52 2020-12-25 00:00:00 NaN NaN 11520 \n",
- "53 2021-01-01 00:00:00 NaN NaN 10069 \n",
- "\n",
- " Total deaths: average of corresponding \\\n",
- "Week number Total deaths: average of corresponding \n",
- "1 NaN \n",
- "2 NaN \n",
- "3 NaN \n",
- "4 NaN \n",
- "5 NaN \n",
- "6 NaN \n",
- "7 NaN \n",
- "8 NaN \n",
- "9 NaN \n",
- "10 NaN \n",
- "11 NaN \n",
- "12 NaN \n",
- "13 NaN \n",
- "14 NaN \n",
- "15 NaN \n",
- "16 NaN \n",
- "17 NaN \n",
- "18 NaN \n",
- "19 NaN \n",
- "20 NaN \n",
- "21 NaN \n",
- "22 NaN \n",
- "23 NaN \n",
- "24 NaN \n",
- "25 NaN \n",
- "26 NaN \n",
- "27 NaN \n",
- "28 NaN \n",
- "29 NaN \n",
- "30 NaN \n",
- "31 NaN \n",
- "32 NaN \n",
- "33 NaN \n",
- "34 NaN \n",
- "35 NaN \n",
- "36 NaN \n",
- "37 NaN \n",
- "38 NaN \n",
- "39 NaN \n",
- "40 NaN \n",
- "41 NaN \n",
- "42 NaN \n",
- "43 NaN \n",
- "44 NaN \n",
- "45 NaN \n",
- "46 NaN \n",
- "47 NaN \n",
- "48 NaN \n",
- "49 NaN \n",
- "50 NaN \n",
- "51 NaN \n",
- "52 NaN \n",
- "53 NaN \n",
- "\n",
- " week over the previous 5 years 1, 10, 11 (England and Wales) \\\n",
- "Week number week over the previous 5 years 1, 10, 11 (Engl... \n",
- "1 12175 \n",
- "2 13822 \n",
- "3 13216 \n",
- "4 12760 \n",
- "5 12206 \n",
- "6 11925 \n",
- "7 11627 \n",
- "8 11548 \n",
- "9 11183 \n",
- "10 11498 \n",
- "11 11205 \n",
- "12 10573 \n",
- "13 10130 \n",
- "14 10305 \n",
- "15 10520 \n",
- "16 10497 \n",
- "17 10458 \n",
- "18 9941 \n",
- "19 9576 \n",
- "20 10188 \n",
- "21 9940 \n",
- "22 8171 \n",
- "23 9977 \n",
- "24 9417 \n",
- "25 9404 \n",
- "26 9293 \n",
- "27 9183 \n",
- "28 9250 \n",
- "29 9093 \n",
- "30 9052 \n",
- "31 9036 \n",
- "32 9102 \n",
- "33 9085 \n",
- "34 9157 \n",
- "35 8241 \n",
- "36 9182 \n",
- "37 9306 \n",
- "38 9264 \n",
- "39 9377 \n",
- "40 9555 \n",
- "41 9811 \n",
- "42 9865 \n",
- "43 9759 \n",
- "44 9891 \n",
- "45 10331 \n",
- "46 10350 \n",
- "47 10380 \n",
- "48 10357 \n",
- "49 10695 \n",
- "50 10750 \n",
- "51 11548 \n",
- "52 7954 \n",
- "53 7954 \n",
- "\n",
- " Total deaths: average of corresponding \\\n",
- "Week number Total deaths: average of corresponding \n",
- "1 NaN \n",
- "2 NaN \n",
- "3 NaN \n",
- "4 NaN \n",
- "5 NaN \n",
- "6 NaN \n",
- "7 NaN \n",
- "8 NaN \n",
- "9 NaN \n",
- "10 NaN \n",
- "11 NaN \n",
- "12 NaN \n",
- "13 NaN \n",
- "14 NaN \n",
- "15 NaN \n",
- "16 NaN \n",
- "17 NaN \n",
- "18 NaN \n",
- "19 NaN \n",
- "20 NaN \n",
- "21 NaN \n",
- "22 NaN \n",
- "23 NaN \n",
- "24 NaN \n",
- "25 NaN \n",
- "26 NaN \n",
- "27 NaN \n",
- "28 NaN \n",
- "29 NaN \n",
- "30 NaN \n",
- "31 NaN \n",
- "32 NaN \n",
- "33 NaN \n",
- "34 NaN \n",
- "35 NaN \n",
- "36 NaN \n",
- "37 NaN \n",
- "38 NaN \n",
- "39 NaN \n",
- "40 NaN \n",
- "41 NaN \n",
- "42 NaN \n",
- "43 NaN \n",
- "44 NaN \n",
- "45 NaN \n",
- "46 NaN \n",
- "47 NaN \n",
- "48 NaN \n",
- "49 NaN \n",
- "50 NaN \n",
- "51 NaN \n",
- "52 NaN \n",
- "53 NaN \n",
- "\n",
- " week over the previous 5 years 1, 10, 11 (England) \\\n",
- "Week number week over the previous 5 years 1, 10, 11 (Engl... \n",
- "1 11412 \n",
- "2 12933 \n",
- "3 12370 \n",
- "4 11933 \n",
- "5 11419 \n",
- "6 11154 \n",
- "7 10876 \n",
- "8 10790 \n",
- "9 10448 \n",
- "10 10745 \n",
- "11 10447 \n",
- "12 9841 \n",
- "13 9414 \n",
- "14 9601 \n",
- "15 9807 \n",
- "16 9787 \n",
- "17 9768 \n",
- "18 9289 \n",
- "19 8937 \n",
- "20 9526 \n",
- "21 9299 \n",
- "22 7607 \n",
- "23 9346 \n",
- "24 8803 \n",
- "25 8810 \n",
- "26 8695 \n",
- "27 8606 \n",
- "28 8648 \n",
- "29 8502 \n",
- "30 8452 \n",
- "31 8436 \n",
- "32 8502 \n",
- "33 8494 \n",
- "34 8560 \n",
- "35 7674 \n",
- "36 8604 \n",
- "37 8708 \n",
- "38 8663 \n",
- "39 8744 \n",
- "40 8942 \n",
- "41 9168 \n",
- "42 9215 \n",
- "43 9104 \n",
- "44 9248 \n",
- "45 9675 \n",
- "46 9662 \n",
- "47 9701 \n",
- "48 9690 \n",
- "49 9995 \n",
- "50 10034 \n",
- "51 10804 \n",
- "52 7421 \n",
- "53 7421 \n",
- "\n",
- " Total deaths: average of corresponding \\\n",
- "Week number Total deaths: average of corresponding \n",
- "1 NaN \n",
- "2 NaN \n",
- "3 NaN \n",
- "4 NaN \n",
- "5 NaN \n",
- "6 NaN \n",
- "7 NaN \n",
- "8 NaN \n",
- "9 NaN \n",
- "10 NaN \n",
- "11 NaN \n",
- "12 NaN \n",
- "13 NaN \n",
- "14 NaN \n",
- "15 NaN \n",
- "16 NaN \n",
- "17 NaN \n",
- "18 NaN \n",
- "19 NaN \n",
- "20 NaN \n",
- "21 NaN \n",
- "22 NaN \n",
- "23 NaN \n",
- "24 NaN \n",
- "25 NaN \n",
- "26 NaN \n",
- "27 NaN \n",
- "28 NaN \n",
- "29 NaN \n",
- "30 NaN \n",
- "31 NaN \n",
- "32 NaN \n",
- "33 NaN \n",
- "34 NaN \n",
- "35 NaN \n",
- "36 NaN \n",
- "37 NaN \n",
- "38 NaN \n",
- "39 NaN \n",
- "40 NaN \n",
- "41 NaN \n",
- "42 NaN \n",
- "43 NaN \n",
- "44 NaN \n",
- "45 NaN \n",
- "46 NaN \n",
- "47 NaN \n",
- "48 NaN \n",
- "49 NaN \n",
- "50 NaN \n",
- "51 NaN \n",
- "52 NaN \n",
- "53 NaN \n",
- "\n",
- " week over the previous 5 years 1, 10, 11 (Wales) ... North East \\\n",
- "Week number week over the previous 5 years 1, 10, 11 (Wales) ... E12000001 \n",
- "1 756 ... 673 \n",
- "2 856 ... 707 \n",
- "3 812 ... 647 \n",
- "4 802 ... 612 \n",
- "5 760 ... 561 \n",
- "6 729 ... 564 \n",
- "7 722 ... 573 \n",
- "8 724 ... 539 \n",
- "9 698 ... 572 \n",
- "10 720 ... 568 \n",
- "11 727 ... 590 \n",
- "12 677 ... 522 \n",
- "13 665 ... 542 \n",
- "14 667 ... 770 \n",
- "15 671 ... 849 \n",
- "16 661 ... 1155 \n",
- "17 662 ... 1103 \n",
- "18 624 ... 922 \n",
- "19 612 ... 769 \n",
- "20 635 ... 845 \n",
- "21 614 ... 718 \n",
- "22 546 ... 550 \n",
- "23 610 ... 576 \n",
- "24 588 ... 478 \n",
- "25 573 ... 498 \n",
- "26 571 ... 485 \n",
- "27 555 ... 515 \n",
- "28 578 ... 468 \n",
- "29 557 ... 445 \n",
- "30 566 ... 493 \n",
- "31 572 ... 507 \n",
- "32 571 ... 486 \n",
- "33 564 ... 520 \n",
- "34 573 ... 479 \n",
- "35 539 ... 455 \n",
- "36 552 ... 431 \n",
- "37 577 ... 502 \n",
- "38 575 ... 465 \n",
- "39 604 ... 514 \n",
- "40 587 ... 558 \n",
- "41 615 ... 544 \n",
- "42 630 ... 606 \n",
- "43 628 ... 600 \n",
- "44 616 ... 591 \n",
- "45 625 ... 675 \n",
- "46 658 ... 711 \n",
- "47 653 ... 691 \n",
- "48 646 ... 679 \n",
- "49 679 ... 645 \n",
- "50 693 ... 661 \n",
- "51 718 ... 689 \n",
- "52 518 ... 669 \n",
- "53 518 ... 547 \n",
- "\n",
- " North West Yorkshire and The Humber East Midlands West Midlands \\\n",
- "Week number E12000002 E12000003 E12000004 E12000005 \n",
- "1 1806 1240 1060 1349 \n",
- "2 1932 1339 1195 1450 \n",
- "3 1696 1278 1106 1407 \n",
- "4 1529 1187 1024 1231 \n",
- "5 1461 1136 1015 1262 \n",
- "6 1529 1072 922 1052 \n",
- "7 1427 1059 976 1159 \n",
- "8 1477 1087 924 1116 \n",
- "9 1476 1078 919 1174 \n",
- "10 1490 1112 930 1098 \n",
- "11 1472 1053 915 1187 \n",
- "12 1443 1012 947 1115 \n",
- "13 1538 982 922 1035 \n",
- "14 2137 1436 1246 1812 \n",
- "15 2597 1503 1452 2182 \n",
- "16 3195 1960 1632 2536 \n",
- "17 3109 2095 1711 2481 \n",
- "18 2503 1844 1418 1975 \n",
- "19 1790 1328 1094 1326 \n",
- "20 1992 1589 1283 1502 \n",
- "21 1636 1236 1041 1319 \n",
- "22 1337 1046 863 970 \n",
- "23 1478 1090 931 1172 \n",
- "24 1374 980 967 1096 \n",
- "25 1234 952 835 973 \n",
- "26 1300 922 800 946 \n",
- "27 1225 875 827 949 \n",
- "28 1154 848 771 902 \n",
- "29 1159 843 816 956 \n",
- "30 1197 817 798 964 \n",
- "31 1272 837 729 902 \n",
- "32 1211 851 798 933 \n",
- "33 1304 853 829 923 \n",
- "34 1269 870 780 1028 \n",
- "35 1148 922 724 945 \n",
- "36 1057 780 640 770 \n",
- "37 1229 952 867 1021 \n",
- "38 1287 939 795 1051 \n",
- "39 1271 965 825 1036 \n",
- "40 1301 978 842 1045 \n",
- "41 1367 1067 884 1053 \n",
- "42 1553 1001 904 1154 \n",
- "43 1714 1111 891 1124 \n",
- "44 1754 1168 882 1102 \n",
- "45 1900 1294 990 1186 \n",
- "46 1950 1350 1099 1317 \n",
- "47 1935 1441 1105 1385 \n",
- "48 1791 1501 1218 1358 \n",
- "49 1679 1403 1121 1340 \n",
- "50 1691 1326 1199 1432 \n",
- "51 1718 1380 1199 1385 \n",
- "52 1463 1130 1097 1217 \n",
- "53 1346 886 842 1024 \n",
- "\n",
- " East London South East South West Wales \n",
- "Week number E12000006 E12000007 E12000008 E12000009 W92000004 \n",
- "1 1162 1113 1814 1225 787 \n",
- "2 1573 1272 2132 1487 939 \n",
- "3 1457 1073 2064 1466 767 \n",
- "4 1410 1028 1833 1253 723 \n",
- "5 1286 1092 1820 1233 727 \n",
- "6 1259 987 1729 1157 690 \n",
- "7 1172 967 1688 1169 728 \n",
- "8 1167 1032 1675 1118 679 \n",
- "9 1115 1085 1587 1133 651 \n",
- "10 1149 982 1726 1170 652 \n",
- "11 1211 964 1751 1174 675 \n",
- "12 1043 1008 1657 1156 719 \n",
- "13 1182 1297 1822 1092 719 \n",
- "14 1717 2511 2294 1520 920 \n",
- "15 1984 2832 2604 1560 928 \n",
- "16 2466 3275 3084 1854 1169 \n",
- "17 2299 2785 3334 1924 1124 \n",
- "18 1982 1953 2853 1554 929 \n",
- "19 1321 1213 1887 1218 692 \n",
- "20 1543 1329 2251 1449 772 \n",
- "21 1397 1125 1937 1177 692 \n",
- "22 1095 841 1515 1011 587 \n",
- "23 1131 891 1610 1116 700 \n",
- "24 1048 883 1530 1035 574 \n",
- "25 927 896 1411 990 617 \n",
- "26 880 791 1311 979 552 \n",
- "27 922 837 1454 938 584 \n",
- "28 999 803 1228 930 572 \n",
- "29 945 806 1339 953 550 \n",
- "30 951 816 1340 941 565 \n",
- "31 949 773 1447 988 531 \n",
- "32 955 832 1370 929 563 \n",
- "33 1006 928 1395 1009 617 \n",
- "34 1024 920 1608 1043 594 \n",
- "35 951 810 1511 959 591 \n",
- "36 806 737 1208 803 488 \n",
- "37 1052 898 1610 1084 578 \n",
- "38 1023 844 1530 1021 555 \n",
- "39 963 869 1521 1041 617 \n",
- "40 1054 899 1577 1003 671 \n",
- "41 1019 902 1462 1010 638 \n",
- "42 1056 923 1462 1174 688 \n",
- "43 1154 922 1510 1044 661 \n",
- "44 1089 888 1563 1129 712 \n",
- "45 1177 952 1614 1174 832 \n",
- "46 1172 1112 1616 1168 742 \n",
- "47 1186 1086 1687 1159 848 \n",
- "48 1159 1012 1655 1272 797 \n",
- "49 1229 1029 1720 1284 836 \n",
- "50 1224 1065 1706 1156 814 \n",
- "51 1317 1167 1947 1311 882 \n",
- "52 1198 1090 1701 1115 825 \n",
- "53 997 1159 1595 929 727 \n",
- "\n",
- "[54 rows x 91 columns]"
- ]
- },
- "execution_count": 435,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "eng_xls"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 436,
- "metadata": {},
- "outputs": [
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- "data": {
- "text/html": [
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- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>week</th>\n",
- " <th>date_up_to</th>\n",
- " <th>deaths</th>\n",
- " <th>year</th>\n",
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- " <td>2020</td>\n",
- " <td>Wales</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>3</td>\n",
- " <td>2020-01-17 00:00:00</td>\n",
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- " <td>2020</td>\n",
- " <td>Wales</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>4</td>\n",
- " <td>2020-01-24 00:00:00</td>\n",
- " <td>723</td>\n",
- " <td>2020</td>\n",
- " <td>Wales</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>5</td>\n",
- " <td>2020-01-31 00:00:00</td>\n",
- " <td>727</td>\n",
- " <td>2020</td>\n",
- " <td>Wales</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " week date_up_to deaths year nation\n",
- "0 1 2020-01-03 00:00:00 787 2020 Wales\n",
- "1 2 2020-01-10 00:00:00 939 2020 Wales\n",
- "2 3 2020-01-17 00:00:00 767 2020 Wales\n",
- "3 4 2020-01-24 00:00:00 723 2020 Wales\n",
- "4 5 2020-01-31 00:00:00 727 2020 Wales"
- ]
- },
- "execution_count": 436,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "rd = eng_xls.iloc[1:][['Week ended', 'Wales']].reset_index(level=0).rename(\n",
- " columns={'Week ended': 'date_up_to', 'Wales': 'deaths',\n",
- " 'index': 'week'}\n",
- " )\n",
- "rd['year'] = 2020\n",
- "rd['nation'] = 'Wales'\n",
- "rd.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 437,
- "metadata": {},
- "outputs": [],
- "source": [
- "rd.to_sql(\n",
- " 'all_causes_deaths',\n",
- " conn,\n",
- " if_exists='append',\n",
- " index=False)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 438,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "<ipython-input-438-7dd1e0e9987b>:2: SettingWithCopyWarning: \n",
- "A value is trying to be set on a copy of a slice from a DataFrame.\n",
- "Try using .loc[row_indexer,col_indexer] = value instead\n",
- "\n",
- "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
- " eng_xls['England deaths'] = eng_xls.loc[:, 'Total deaths, all ages'] - eng_xls.loc[:, 'Wales']\n"
- ]
- }
- ],
- "source": [
- "eng_xls = eng_xls.iloc[1:]\n",
- "eng_xls['England deaths'] = eng_xls.loc[:, 'Total deaths, all ages'] - eng_xls.loc[:, 'Wales']"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 439,
- "metadata": {},
- "outputs": [
- {
- "data": {
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- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>Week ended</th>\n",
- " <th>NaN</th>\n",
- " <th>NaN</th>\n",
- " <th>Total deaths, all ages</th>\n",
- " <th>Total deaths: average of corresponding</th>\n",
- " <th>week over the previous 5 years 1, 10, 11 (England and Wales)</th>\n",
- " <th>Total deaths: average of corresponding</th>\n",
- " <th>week over the previous 5 years 1, 10, 11 (England)</th>\n",
- " <th>Total deaths: average of corresponding</th>\n",
- " <th>week over the previous 5 years 1, 10, 11 (Wales)</th>\n",
- " <th>...</th>\n",
- " <th>North West</th>\n",
- " <th>Yorkshire and The Humber</th>\n",
- " <th>East Midlands</th>\n",
- " <th>West Midlands</th>\n",
- " <th>East</th>\n",
- " <th>London</th>\n",
- " <th>South East</th>\n",
- " <th>South West</th>\n",
- " <th>Wales</th>\n",
- " <th>England deaths</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>2020-01-03 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>12254</td>\n",
- " <td>NaN</td>\n",
- " <td>12175</td>\n",
- " <td>NaN</td>\n",
- " <td>11412</td>\n",
- " <td>NaN</td>\n",
- " <td>756</td>\n",
- " <td>...</td>\n",
- " <td>1806</td>\n",
- " <td>1240</td>\n",
- " <td>1060</td>\n",
- " <td>1349</td>\n",
- " <td>1162</td>\n",
- " <td>1113</td>\n",
- " <td>1814</td>\n",
- " <td>1225</td>\n",
- " <td>787</td>\n",
- " <td>11467</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>2020-01-10 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>14058</td>\n",
- " <td>NaN</td>\n",
- " <td>13822</td>\n",
- " <td>NaN</td>\n",
- " <td>12933</td>\n",
- " <td>NaN</td>\n",
- " <td>856</td>\n",
- " <td>...</td>\n",
- " <td>1932</td>\n",
- " <td>1339</td>\n",
- " <td>1195</td>\n",
- " <td>1450</td>\n",
- " <td>1573</td>\n",
- " <td>1272</td>\n",
- " <td>2132</td>\n",
- " <td>1487</td>\n",
- " <td>939</td>\n",
- " <td>13119</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>2020-01-17 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>12990</td>\n",
- " <td>NaN</td>\n",
- " <td>13216</td>\n",
- " <td>NaN</td>\n",
- " <td>12370</td>\n",
- " <td>NaN</td>\n",
- " <td>812</td>\n",
- " <td>...</td>\n",
- " <td>1696</td>\n",
- " <td>1278</td>\n",
- " <td>1106</td>\n",
- " <td>1407</td>\n",
- " <td>1457</td>\n",
- " <td>1073</td>\n",
- " <td>2064</td>\n",
- " <td>1466</td>\n",
- " <td>767</td>\n",
- " <td>12223</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>2020-01-24 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>11856</td>\n",
- " <td>NaN</td>\n",
- " <td>12760</td>\n",
- " <td>NaN</td>\n",
- " <td>11933</td>\n",
- " <td>NaN</td>\n",
- " <td>802</td>\n",
- " <td>...</td>\n",
- " <td>1529</td>\n",
- " <td>1187</td>\n",
- " <td>1024</td>\n",
- " <td>1231</td>\n",
- " <td>1410</td>\n",
- " <td>1028</td>\n",
- " <td>1833</td>\n",
- " <td>1253</td>\n",
- " <td>723</td>\n",
- " <td>11133</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>5</th>\n",
- " <td>2020-01-31 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>11612</td>\n",
- " <td>NaN</td>\n",
- " <td>12206</td>\n",
- " <td>NaN</td>\n",
- " <td>11419</td>\n",
- " <td>NaN</td>\n",
- " <td>760</td>\n",
- " <td>...</td>\n",
- " <td>1461</td>\n",
- " <td>1136</td>\n",
- " <td>1015</td>\n",
- " <td>1262</td>\n",
- " <td>1286</td>\n",
- " <td>1092</td>\n",
- " <td>1820</td>\n",
- " <td>1233</td>\n",
- " <td>727</td>\n",
- " <td>10885</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "<p>5 rows × 92 columns</p>\n",
- "</div>"
- ],
- "text/plain": [
- " Week ended NaN NaN Total deaths, all ages \\\n",
- "1 2020-01-03 00:00:00 NaN NaN 12254 \n",
- "2 2020-01-10 00:00:00 NaN NaN 14058 \n",
- "3 2020-01-17 00:00:00 NaN NaN 12990 \n",
- "4 2020-01-24 00:00:00 NaN NaN 11856 \n",
- "5 2020-01-31 00:00:00 NaN NaN 11612 \n",
- "\n",
- " Total deaths: average of corresponding \\\n",
- "1 NaN \n",
- "2 NaN \n",
- "3 NaN \n",
- "4 NaN \n",
- "5 NaN \n",
- "\n",
- " week over the previous 5 years 1, 10, 11 (England and Wales) \\\n",
- "1 12175 \n",
- "2 13822 \n",
- "3 13216 \n",
- "4 12760 \n",
- "5 12206 \n",
- "\n",
- " Total deaths: average of corresponding \\\n",
- "1 NaN \n",
- "2 NaN \n",
- "3 NaN \n",
- "4 NaN \n",
- "5 NaN \n",
- "\n",
- " week over the previous 5 years 1, 10, 11 (England) \\\n",
- "1 11412 \n",
- "2 12933 \n",
- "3 12370 \n",
- "4 11933 \n",
- "5 11419 \n",
- "\n",
- " Total deaths: average of corresponding \\\n",
- "1 NaN \n",
- "2 NaN \n",
- "3 NaN \n",
- "4 NaN \n",
- "5 NaN \n",
- "\n",
- " week over the previous 5 years 1, 10, 11 (Wales) ... North West \\\n",
- "1 756 ... 1806 \n",
- "2 856 ... 1932 \n",
- "3 812 ... 1696 \n",
- "4 802 ... 1529 \n",
- "5 760 ... 1461 \n",
- "\n",
- " Yorkshire and The Humber East Midlands West Midlands East London \\\n",
- "1 1240 1060 1349 1162 1113 \n",
- "2 1339 1195 1450 1573 1272 \n",
- "3 1278 1106 1407 1457 1073 \n",
- "4 1187 1024 1231 1410 1028 \n",
- "5 1136 1015 1262 1286 1092 \n",
- "\n",
- " South East South West Wales England deaths \n",
- "1 1814 1225 787 11467 \n",
- "2 2132 1487 939 13119 \n",
- "3 2064 1466 767 12223 \n",
- "4 1833 1253 723 11133 \n",
- "5 1820 1233 727 10885 \n",
- "\n",
- "[5 rows x 92 columns]"
- ]
- },
- "execution_count": 439,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "eng_xls.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 440,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
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- " <th>1</th>\n",
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- " <td>2020-01-17 00:00:00</td>\n",
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- " <th>3</th>\n",
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- " <td>10885</td>\n",
- " <td>2020</td>\n",
- " <td>England</td>\n",
- " </tr>\n",
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- "text/plain": [
- " week date_up_to deaths year nation\n",
- "0 1 2020-01-03 00:00:00 11467 2020 England\n",
- "1 2 2020-01-10 00:00:00 13119 2020 England\n",
- "2 3 2020-01-17 00:00:00 12223 2020 England\n",
- "3 4 2020-01-24 00:00:00 11133 2020 England\n",
- "4 5 2020-01-31 00:00:00 10885 2020 England"
- ]
- },
- "execution_count": 440,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "rd = eng_xls[['Week ended', 'England deaths']].reset_index(level=0).rename(\n",
- " columns={'Week ended': 'date_up_to', 'England deaths': 'deaths',\n",
- " 'index': 'week'}\n",
- " )\n",
- "rd['year'] = 2020\n",
- "rd['nation'] = 'England'\n",
- "rd.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 441,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "0 rows affected.\n"
- ]
- },
- {
- "data": {
- "text/plain": [
- "[]"
- ]
- },
- "execution_count": 441,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "%sql delete from all_causes_deaths where nation = 'England'"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 442,
- "metadata": {},
- "outputs": [],
- "source": [
- "rd.to_sql(\n",
- " 'all_causes_deaths',\n",
- " conn,\n",
- " if_exists='append',\n",
- " index=False)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 443,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
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- " <th>date_up_to</th>\n",
- " <th>deaths</th>\n",
- " <th>year</th>\n",
- " <th>nation</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>48</th>\n",
- " <td>49</td>\n",
- " <td>2020-12-04 00:00:00</td>\n",
- " <td>11467</td>\n",
- " <td>2020</td>\n",
- " <td>England</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>49</th>\n",
- " <td>50</td>\n",
- " <td>2020-12-11 00:00:00</td>\n",
- " <td>11478</td>\n",
- " <td>2020</td>\n",
- " <td>England</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>50</th>\n",
- " <td>51</td>\n",
- " <td>2020-12-18 00:00:00</td>\n",
- " <td>12129</td>\n",
- " <td>2020</td>\n",
- " <td>England</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>51</th>\n",
- " <td>52</td>\n",
- " <td>2020-12-25 00:00:00</td>\n",
- " <td>10695</td>\n",
- " <td>2020</td>\n",
- " <td>England</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>52</th>\n",
- " <td>53</td>\n",
- " <td>2021-01-01 00:00:00</td>\n",
- " <td>9342</td>\n",
- " <td>2020</td>\n",
- " <td>England</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " week date_up_to deaths year nation\n",
- "48 49 2020-12-04 00:00:00 11467 2020 England\n",
- "49 50 2020-12-11 00:00:00 11478 2020 England\n",
- "50 51 2020-12-18 00:00:00 12129 2020 England\n",
- "51 52 2020-12-25 00:00:00 10695 2020 England\n",
- "52 53 2021-01-01 00:00:00 9342 2020 England"
- ]
- },
- "execution_count": 443,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "rd.tail()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 444,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "14 rows affected.\n"
- ]
- },
- {
- "data": {
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- "<table>\n",
- " <thead>\n",
- " <tr>\n",
- " <th>year</th>\n",
- " <th>nation</th>\n",
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- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <td>2020</td>\n",
- " <td>England</td>\n",
- " <td>53</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2015</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>53</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2016</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2017</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>52</td>\n",
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- " <td>2018</td>\n",
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- " <tr>\n",
- " <td>2019</td>\n",
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- " <td>52</td>\n",
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- " <tr>\n",
- " <td>2020</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>53</td>\n",
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- " <td>2015</td>\n",
- " <td>Scotland</td>\n",
- " <td>53</td>\n",
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- " <td>2016</td>\n",
- " <td>Scotland</td>\n",
- " <td>52</td>\n",
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- " <tr>\n",
- " <td>2017</td>\n",
- " <td>Scotland</td>\n",
- " <td>52</td>\n",
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- " <tr>\n",
- " <td>2018</td>\n",
- " <td>Scotland</td>\n",
- " <td>52</td>\n",
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- " <tr>\n",
- " <td>2019</td>\n",
- " <td>Scotland</td>\n",
- " <td>52</td>\n",
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- " <tr>\n",
- " <td>2020</td>\n",
- " <td>Scotland</td>\n",
- " <td>53</td>\n",
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- " <td>2020</td>\n",
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- ],
- "text/plain": [
- "[(2020, 'England', 53),\n",
- " (2015, 'Northern Ireland', 53),\n",
- " (2016, 'Northern Ireland', 52),\n",
- " (2017, 'Northern Ireland', 52),\n",
- " (2018, 'Northern Ireland', 52),\n",
- " (2019, 'Northern Ireland', 52),\n",
- " (2020, 'Northern Ireland', 53),\n",
- " (2015, 'Scotland', 53),\n",
- " (2016, 'Scotland', 52),\n",
- " (2017, 'Scotland', 52),\n",
- " (2018, 'Scotland', 52),\n",
- " (2019, 'Scotland', 52),\n",
- " (2020, 'Scotland', 53),\n",
- " (2020, 'Wales', 53)]"
- ]
- },
- "execution_count": 444,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "%sql select year, nation, count(date_up_to) from all_causes_deaths group by (year, nation) order by nation, year"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 445,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# raw_data_2020 = pd.read_csv('uk-deaths-data/publishedweek272020.csv', \n",
- "# parse_dates=[1], dayfirst=True,\n",
- "# index_col=0,\n",
- "# header=[0, 1])"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": 446,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# raw_data_2020.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 447,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# raw_data_2020['W92000004', 'Wales']"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 448,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "raw_data_2019 = pd.read_csv('uk-deaths-data/publishedweek522019.csv', \n",
- " parse_dates=[1], dayfirst=True,\n",
- "# index_col=0,\n",
- " header=[0, 1])\n",
- "# raw_data_2019.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 449,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
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- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>Week number</th>\n",
- " <th>Week ended</th>\n",
- " <th>Total deaths, all ages</th>\n",
- " <th>W92000004</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>0</th>\n",
- " <td>1</td>\n",
- " <td>2019-01-04</td>\n",
- " <td>10955</td>\n",
- " <td>718</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>2</td>\n",
- " <td>2019-01-11</td>\n",
- " <td>12609</td>\n",
- " <td>809</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>3</td>\n",
- " <td>2019-01-18</td>\n",
- " <td>11860</td>\n",
- " <td>683</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>4</td>\n",
- " <td>2019-01-25</td>\n",
- " <td>11740</td>\n",
- " <td>734</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>5</td>\n",
- " <td>2019-02-01</td>\n",
- " <td>11297</td>\n",
- " <td>745</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " Week number Week ended Total deaths, all ages W92000004\n",
- "0 1 2019-01-04 10955 718\n",
- "1 2 2019-01-11 12609 809\n",
- "2 3 2019-01-18 11860 683\n",
- "3 4 2019-01-25 11740 734\n",
- "4 5 2019-02-01 11297 745"
- ]
- },
- "execution_count": 449,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "rdew = raw_data_2019.iloc[:, [0, 1, 2, -1]].droplevel(axis=1, level=1)\n",
- "rdew.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 450,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
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- " <th>deaths</th>\n",
- " <th>year</th>\n",
- " <th>nation</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>0</th>\n",
- " <td>1</td>\n",
- " <td>2019-01-04</td>\n",
- " <td>718</td>\n",
- " <td>2019</td>\n",
- " <td>Wales</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>2</td>\n",
- " <td>2019-01-11</td>\n",
- " <td>809</td>\n",
- " <td>2019</td>\n",
- " <td>Wales</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>3</td>\n",
- " <td>2019-01-18</td>\n",
- " <td>683</td>\n",
- " <td>2019</td>\n",
- " <td>Wales</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>4</td>\n",
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- " <td>734</td>\n",
- " <td>2019</td>\n",
- " <td>Wales</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>5</td>\n",
- " <td>2019-02-01</td>\n",
- " <td>745</td>\n",
- " <td>2019</td>\n",
- " <td>Wales</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " week date_up_to deaths year nation\n",
- "0 1 2019-01-04 718 2019 Wales\n",
- "1 2 2019-01-11 809 2019 Wales\n",
- "2 3 2019-01-18 683 2019 Wales\n",
- "3 4 2019-01-25 734 2019 Wales\n",
- "4 5 2019-02-01 745 2019 Wales"
- ]
- },
- "execution_count": 450,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "rd = rdew.drop(columns=['Total deaths, all ages']).rename(\n",
- " columns={'Week ended': 'date_up_to', 'W92000004': 'deaths',\n",
- " 'Week number': 'week'}\n",
- " )\n",
- "rd['year'] = 2019\n",
- "rd['nation'] = 'Wales'\n",
- "rd.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 451,
- "metadata": {},
- "outputs": [],
- "source": [
- "rd.to_sql(\n",
- " 'all_causes_deaths',\n",
- " conn,\n",
- " if_exists='append',\n",
- " index=False)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 452,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
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- " <th>week</th>\n",
- " <th>deaths</th>\n",
- " <th>year</th>\n",
- " <th>nation</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>0</th>\n",
- " <td>2019-01-04</td>\n",
- " <td>1</td>\n",
- " <td>10237</td>\n",
- " <td>2019</td>\n",
- " <td>England</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>2019-01-11</td>\n",
- " <td>2</td>\n",
- " <td>11800</td>\n",
- " <td>2019</td>\n",
- " <td>England</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>2019-01-18</td>\n",
- " <td>3</td>\n",
- " <td>11177</td>\n",
- " <td>2019</td>\n",
- " <td>England</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>2019-01-25</td>\n",
- " <td>4</td>\n",
- " <td>11006</td>\n",
- " <td>2019</td>\n",
- " <td>England</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>2019-02-01</td>\n",
- " <td>5</td>\n",
- " <td>10552</td>\n",
- " <td>2019</td>\n",
- " <td>England</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " date_up_to week deaths year nation\n",
- "0 2019-01-04 1 10237 2019 England\n",
- "1 2019-01-11 2 11800 2019 England\n",
- "2 2019-01-18 3 11177 2019 England\n",
- "3 2019-01-25 4 11006 2019 England\n",
- "4 2019-02-01 5 10552 2019 England"
- ]
- },
- "execution_count": 452,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "rd = rdew.loc[:, ['Week ended','Week number']]\n",
- "rd['deaths'] = rdew['Total deaths, all ages'] - rdew['W92000004']\n",
- "rd = rd.rename(\n",
- " columns={'Week ended': 'date_up_to', 'Week number': 'week'}\n",
- " )\n",
- "rd['year'] = 2019\n",
- "rd['nation'] = 'England'\n",
- "rd.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 453,
- "metadata": {},
- "outputs": [],
- "source": [
- "rd.to_sql(\n",
- " 'all_causes_deaths',\n",
- " conn,\n",
- " if_exists='append',\n",
- " index=False)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 454,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "16 rows affected.\n"
- ]
- },
- {
- "data": {
- "text/html": [
- "<table>\n",
- " <thead>\n",
- " <tr>\n",
- " <th>year</th>\n",
- " <th>nation</th>\n",
- " <th>count</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <td>2019</td>\n",
- " <td>England</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020</td>\n",
- " <td>England</td>\n",
- " <td>53</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2015</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>53</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2016</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2017</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>52</td>\n",
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- " <td>2018</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2019</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>52</td>\n",
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- " <td>2020</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>53</td>\n",
- " </tr>\n",
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- " <td>2015</td>\n",
- " <td>Scotland</td>\n",
- " <td>53</td>\n",
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- " <td>2016</td>\n",
- " <td>Scotland</td>\n",
- " <td>52</td>\n",
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- " <td>2017</td>\n",
- " <td>Scotland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2018</td>\n",
- " <td>Scotland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2019</td>\n",
- " <td>Scotland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020</td>\n",
- " <td>Scotland</td>\n",
- " <td>53</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2019</td>\n",
- " <td>Wales</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020</td>\n",
- " <td>Wales</td>\n",
- " <td>53</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>"
- ],
- "text/plain": [
- "[(2019, 'England', 52),\n",
- " (2020, 'England', 53),\n",
- " (2015, 'Northern Ireland', 53),\n",
- " (2016, 'Northern Ireland', 52),\n",
- " (2017, 'Northern Ireland', 52),\n",
- " (2018, 'Northern Ireland', 52),\n",
- " (2019, 'Northern Ireland', 52),\n",
- " (2020, 'Northern Ireland', 53),\n",
- " (2015, 'Scotland', 53),\n",
- " (2016, 'Scotland', 52),\n",
- " (2017, 'Scotland', 52),\n",
- " (2018, 'Scotland', 52),\n",
- " (2019, 'Scotland', 52),\n",
- " (2020, 'Scotland', 53),\n",
- " (2019, 'Wales', 52),\n",
- " (2020, 'Wales', 53)]"
- ]
- },
- "execution_count": 454,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "%sql select year, nation, count(date_up_to) from all_causes_deaths group by (year, nation) order by nation, year"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 455,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "raw_data_2018 = pd.read_csv('uk-deaths-data/publishedweek522018.csv', \n",
- " parse_dates=[1], dayfirst=True,\n",
- "# index_col=0,\n",
- " header=[0, 1])\n",
- "# raw_data_2018.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 456,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
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- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>Week number</th>\n",
- " <th>Week ended</th>\n",
- " <th>Total deaths, all ages</th>\n",
- " <th>W92000004</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>0</th>\n",
- " <td>1</td>\n",
- " <td>2018-01-05</td>\n",
- " <td>12723</td>\n",
- " <td>783</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>2</td>\n",
- " <td>2018-01-12</td>\n",
- " <td>15050</td>\n",
- " <td>904</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>3</td>\n",
- " <td>2018-01-19</td>\n",
- " <td>14256</td>\n",
- " <td>885</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>4</td>\n",
- " <td>2018-01-26</td>\n",
- " <td>13935</td>\n",
- " <td>850</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>5</td>\n",
- " <td>2018-02-02</td>\n",
- " <td>13285</td>\n",
- " <td>815</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " Week number Week ended Total deaths, all ages W92000004\n",
- "0 1 2018-01-05 12723 783\n",
- "1 2 2018-01-12 15050 904\n",
- "2 3 2018-01-19 14256 885\n",
- "3 4 2018-01-26 13935 850\n",
- "4 5 2018-02-02 13285 815"
- ]
- },
- "execution_count": 456,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "rdew = raw_data_2018.iloc[:, [0, 1, 2, -1]].droplevel(axis=1, level=1)\n",
- "rdew.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 457,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
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- " <th>1</th>\n",
- " <td>2</td>\n",
- " <td>2018-01-12</td>\n",
- " <td>904</td>\n",
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- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>3</td>\n",
- " <td>2018-01-19</td>\n",
- " <td>885</td>\n",
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- " <td>Wales</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>4</td>\n",
- " <td>2018-01-26</td>\n",
- " <td>850</td>\n",
- " <td>2018</td>\n",
- " <td>Wales</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>5</td>\n",
- " <td>2018-02-02</td>\n",
- " <td>815</td>\n",
- " <td>2018</td>\n",
- " <td>Wales</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " week date_up_to deaths year nation\n",
- "0 1 2018-01-05 783 2018 Wales\n",
- "1 2 2018-01-12 904 2018 Wales\n",
- "2 3 2018-01-19 885 2018 Wales\n",
- "3 4 2018-01-26 850 2018 Wales\n",
- "4 5 2018-02-02 815 2018 Wales"
- ]
- },
- "execution_count": 457,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "rd = rdew.drop(columns=['Total deaths, all ages']).rename(\n",
- " columns={'Week ended': 'date_up_to', 'W92000004': 'deaths',\n",
- " 'Week number': 'week'}\n",
- " )\n",
- "rd['year'] = 2018\n",
- "rd['nation'] = 'Wales'\n",
- "rd.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 458,
- "metadata": {},
- "outputs": [],
- "source": [
- "rd.to_sql(\n",
- " 'all_causes_deaths',\n",
- " conn,\n",
- " if_exists='append',\n",
- " index=False)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 459,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
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- " <th>year</th>\n",
- " <th>nation</th>\n",
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- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>0</th>\n",
- " <td>2018-01-05</td>\n",
- " <td>1</td>\n",
- " <td>11940</td>\n",
- " <td>2018</td>\n",
- " <td>England</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>2018-01-12</td>\n",
- " <td>2</td>\n",
- " <td>14146</td>\n",
- " <td>2018</td>\n",
- " <td>England</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>2018-01-19</td>\n",
- " <td>3</td>\n",
- " <td>13371</td>\n",
- " <td>2018</td>\n",
- " <td>England</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>2018-01-26</td>\n",
- " <td>4</td>\n",
- " <td>13085</td>\n",
- " <td>2018</td>\n",
- " <td>England</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>2018-02-02</td>\n",
- " <td>5</td>\n",
- " <td>12470</td>\n",
- " <td>2018</td>\n",
- " <td>England</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " date_up_to week deaths year nation\n",
- "0 2018-01-05 1 11940 2018 England\n",
- "1 2018-01-12 2 14146 2018 England\n",
- "2 2018-01-19 3 13371 2018 England\n",
- "3 2018-01-26 4 13085 2018 England\n",
- "4 2018-02-02 5 12470 2018 England"
- ]
- },
- "execution_count": 459,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "rd = rdew.loc[:, ['Week ended','Week number']]\n",
- "rd['deaths'] = rdew['Total deaths, all ages'] - rdew['W92000004']\n",
- "rd = rd.rename(\n",
- " columns={'Week ended': 'date_up_to', 'Week number': 'week'}\n",
- " )\n",
- "rd['year'] = 2018\n",
- "rd['nation'] = 'England'\n",
- "rd.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 460,
- "metadata": {},
- "outputs": [],
- "source": [
- "rd.to_sql(\n",
- " 'all_causes_deaths',\n",
- " conn,\n",
- " if_exists='append',\n",
- " index=False)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 461,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "18 rows affected.\n"
- ]
- },
- {
- "data": {
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- " <thead>\n",
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- " </tr>\n",
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- " <tbody>\n",
- " <tr>\n",
- " <td>2018</td>\n",
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- " <td>England</td>\n",
- " <td>52</td>\n",
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- " <td>England</td>\n",
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- " <td>2020</td>\n",
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- " <tr>\n",
- " <td>2018</td>\n",
- " <td>Wales</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2019</td>\n",
- " <td>Wales</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020</td>\n",
- " <td>Wales</td>\n",
- " <td>53</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>"
- ],
- "text/plain": [
- "[(2018, 'England', 52),\n",
- " (2019, 'England', 52),\n",
- " (2020, 'England', 53),\n",
- " (2015, 'Northern Ireland', 53),\n",
- " (2016, 'Northern Ireland', 52),\n",
- " (2017, 'Northern Ireland', 52),\n",
- " (2018, 'Northern Ireland', 52),\n",
- " (2019, 'Northern Ireland', 52),\n",
- " (2020, 'Northern Ireland', 53),\n",
- " (2015, 'Scotland', 53),\n",
- " (2016, 'Scotland', 52),\n",
- " (2017, 'Scotland', 52),\n",
- " (2018, 'Scotland', 52),\n",
- " (2019, 'Scotland', 52),\n",
- " (2020, 'Scotland', 53),\n",
- " (2018, 'Wales', 52),\n",
- " (2019, 'Wales', 52),\n",
- " (2020, 'Wales', 53)]"
- ]
- },
- "execution_count": 461,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "%sql select year, nation, count(date_up_to) from all_causes_deaths group by (year, nation) order by nation, year"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 462,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "raw_data_2017 = pd.read_csv('uk-deaths-data/publishedweek522017.csv', \n",
- " parse_dates=[1], dayfirst=True,\n",
- "# index_col=0,\n",
- " header=[0, 1])\n",
- "# raw_data_2017.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 463,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
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- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>Week number</th>\n",
- " <th>Week ended</th>\n",
- " <th>Total deaths, all ages</th>\n",
- " <th>W92000004</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>0</th>\n",
- " <td>1</td>\n",
- " <td>2017-01-06</td>\n",
- " <td>11991</td>\n",
- " <td>744</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>2</td>\n",
- " <td>2017-01-13</td>\n",
- " <td>13715</td>\n",
- " <td>825</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>3</td>\n",
- " <td>2017-01-20</td>\n",
- " <td>13610</td>\n",
- " <td>835</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>4</td>\n",
- " <td>2017-01-27</td>\n",
- " <td>12877</td>\n",
- " <td>881</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>5</td>\n",
- " <td>2017-02-03</td>\n",
- " <td>12485</td>\n",
- " <td>749</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " Week number Week ended Total deaths, all ages W92000004\n",
- "0 1 2017-01-06 11991 744\n",
- "1 2 2017-01-13 13715 825\n",
- "2 3 2017-01-20 13610 835\n",
- "3 4 2017-01-27 12877 881\n",
- "4 5 2017-02-03 12485 749"
- ]
- },
- "execution_count": 463,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "rdew = raw_data_2017.iloc[:, [0, 1, 2, -1]].droplevel(axis=1, level=1)\n",
- "rdew.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 464,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
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- " <th>deaths</th>\n",
- " <th>year</th>\n",
- " <th>nation</th>\n",
- " </tr>\n",
- " </thead>\n",
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- " <th>1</th>\n",
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- " <td>2017-01-13</td>\n",
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- " <th>2</th>\n",
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- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>4</td>\n",
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- " <td>2017-02-03</td>\n",
- " <td>749</td>\n",
- " <td>2017</td>\n",
- " <td>Wales</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " week date_up_to deaths year nation\n",
- "0 1 2017-01-06 744 2017 Wales\n",
- "1 2 2017-01-13 825 2017 Wales\n",
- "2 3 2017-01-20 835 2017 Wales\n",
- "3 4 2017-01-27 881 2017 Wales\n",
- "4 5 2017-02-03 749 2017 Wales"
- ]
- },
- "execution_count": 464,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "rd = rdew.drop(columns=['Total deaths, all ages']).rename(\n",
- " columns={'Week ended': 'date_up_to', 'W92000004': 'deaths',\n",
- " 'Week number': 'week'}\n",
- " )\n",
- "rd['year'] = 2017\n",
- "rd['nation'] = 'Wales'\n",
- "rd.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 465,
- "metadata": {},
- "outputs": [],
- "source": [
- "rd.to_sql(\n",
- " 'all_causes_deaths',\n",
- " conn,\n",
- " if_exists='append',\n",
- " index=False)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 466,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
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- " <th>year</th>\n",
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- " </thead>\n",
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- " <th>0</th>\n",
- " <td>2017-01-06</td>\n",
- " <td>1</td>\n",
- " <td>11247</td>\n",
- " <td>2017</td>\n",
- " <td>England</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>2017-01-13</td>\n",
- " <td>2</td>\n",
- " <td>12890</td>\n",
- " <td>2017</td>\n",
- " <td>England</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>2017-01-20</td>\n",
- " <td>3</td>\n",
- " <td>12775</td>\n",
- " <td>2017</td>\n",
- " <td>England</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>2017-01-27</td>\n",
- " <td>4</td>\n",
- " <td>11996</td>\n",
- " <td>2017</td>\n",
- " <td>England</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>2017-02-03</td>\n",
- " <td>5</td>\n",
- " <td>11736</td>\n",
- " <td>2017</td>\n",
- " <td>England</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " date_up_to week deaths year nation\n",
- "0 2017-01-06 1 11247 2017 England\n",
- "1 2017-01-13 2 12890 2017 England\n",
- "2 2017-01-20 3 12775 2017 England\n",
- "3 2017-01-27 4 11996 2017 England\n",
- "4 2017-02-03 5 11736 2017 England"
- ]
- },
- "execution_count": 466,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "rd = rdew.loc[:, ['Week ended','Week number']]\n",
- "rd['deaths'] = rdew['Total deaths, all ages'] - rdew['W92000004']\n",
- "rd = rd.rename(\n",
- " columns={'Week ended': 'date_up_to', 'Week number': 'week'}\n",
- " )\n",
- "rd['year'] = 2017\n",
- "rd['nation'] = 'England'\n",
- "rd.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 467,
- "metadata": {},
- "outputs": [],
- "source": [
- "rd.to_sql(\n",
- " 'all_causes_deaths',\n",
- " conn,\n",
- " if_exists='append',\n",
- " index=False)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 468,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "20 rows affected.\n"
- ]
- },
- {
- "data": {
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- "<table>\n",
- " <thead>\n",
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- " </tr>\n",
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- " <td>2017</td>\n",
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- " <td>2017</td>\n",
- " <td>Wales</td>\n",
- " <td>52</td>\n",
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- " <tr>\n",
- " <td>2018</td>\n",
- " <td>Wales</td>\n",
- " <td>52</td>\n",
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- " <td>2019</td>\n",
- " <td>Wales</td>\n",
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- " </tr>\n",
- " <tr>\n",
- " <td>2020</td>\n",
- " <td>Wales</td>\n",
- " <td>53</td>\n",
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- " </tbody>\n",
- "</table>"
- ],
- "text/plain": [
- "[(2017, 'England', 52),\n",
- " (2018, 'England', 52),\n",
- " (2019, 'England', 52),\n",
- " (2020, 'England', 53),\n",
- " (2015, 'Northern Ireland', 53),\n",
- " (2016, 'Northern Ireland', 52),\n",
- " (2017, 'Northern Ireland', 52),\n",
- " (2018, 'Northern Ireland', 52),\n",
- " (2019, 'Northern Ireland', 52),\n",
- " (2020, 'Northern Ireland', 53),\n",
- " (2015, 'Scotland', 53),\n",
- " (2016, 'Scotland', 52),\n",
- " (2017, 'Scotland', 52),\n",
- " (2018, 'Scotland', 52),\n",
- " (2019, 'Scotland', 52),\n",
- " (2020, 'Scotland', 53),\n",
- " (2017, 'Wales', 52),\n",
- " (2018, 'Wales', 52),\n",
- " (2019, 'Wales', 52),\n",
- " (2020, 'Wales', 53)]"
- ]
- },
- "execution_count": 468,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "%sql select year, nation, count(date_up_to) from all_causes_deaths group by (year, nation) order by nation, year"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": 469,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "raw_data_2016 = pd.read_csv('uk-deaths-data/publishedweek522016.csv', \n",
- " parse_dates=[1], dayfirst=True,\n",
- "# index_col=0,\n",
- " header=[0, 1])\n",
- "# raw_data_2016.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 470,
- "metadata": {},
- "outputs": [
- {
- "data": {
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- " <th>Total deaths: average of corresponding</th>\n",
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- " <th>E12000008</th>\n",
- " <th>E12000009</th>\n",
- " <th>W92000004</th>\n",
- " </tr>\n",
- " <tr>\n",
- " <th></th>\n",
- " <th>Unnamed: 0_level_1</th>\n",
- " <th>Unnamed: 1_level_1</th>\n",
- " <th>Unnamed: 2_level_1</th>\n",
- " <th>Unnamed: 3_level_1</th>\n",
- " <th>Deaths by underlying cause</th>\n",
- " <th>All respiratory diseases (ICD-10 J00-J99)\\nICD-10 v 2013 (IRIS)</th>\n",
- " <th>Deaths by age group</th>\n",
- " <th>Under 1 year</th>\n",
- " <th>01-14</th>\n",
- " <th>15-44</th>\n",
- " <th>...</th>\n",
- " <th>North East</th>\n",
- " <th>North West</th>\n",
- " <th>Yorkshire and The Humber</th>\n",
- " <th>East Midlands</th>\n",
- " <th>West Midlands</th>\n",
- " <th>East</th>\n",
- " <th>London</th>\n",
- " <th>South East</th>\n",
- " <th>South West</th>\n",
- " <th>Wales</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>0</th>\n",
- " <td>1</td>\n",
- " <td>2016-01-08</td>\n",
- " <td>13045</td>\n",
- " <td>11701.4</td>\n",
- " <td>NaN</td>\n",
- " <td>2046</td>\n",
- " <td>NaN</td>\n",
- " <td>49</td>\n",
- " <td>17</td>\n",
- " <td>299</td>\n",
- " <td>...</td>\n",
- " <td>705</td>\n",
- " <td>1748</td>\n",
- " <td>1284</td>\n",
- " <td>1067</td>\n",
- " <td>1396</td>\n",
- " <td>1401</td>\n",
- " <td>1226</td>\n",
- " <td>1951</td>\n",
- " <td>1424</td>\n",
- " <td>809</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>2</td>\n",
- " <td>2016-01-15</td>\n",
- " <td>11501</td>\n",
- " <td>13016.4</td>\n",
- " <td>NaN</td>\n",
- " <td>1835</td>\n",
- " <td>NaN</td>\n",
- " <td>64</td>\n",
- " <td>24</td>\n",
- " <td>326</td>\n",
- " <td>...</td>\n",
- " <td>600</td>\n",
- " <td>1532</td>\n",
- " <td>1148</td>\n",
- " <td>956</td>\n",
- " <td>1208</td>\n",
- " <td>1237</td>\n",
- " <td>1048</td>\n",
- " <td>1771</td>\n",
- " <td>1263</td>\n",
- " <td>711</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>3</td>\n",
- " <td>2016-01-22</td>\n",
- " <td>11473</td>\n",
- " <td>11765.4</td>\n",
- " <td>NaN</td>\n",
- " <td>1775</td>\n",
- " <td>NaN</td>\n",
- " <td>50</td>\n",
- " <td>18</td>\n",
- " <td>345</td>\n",
- " <td>...</td>\n",
- " <td>612</td>\n",
- " <td>1602</td>\n",
- " <td>1119</td>\n",
- " <td>929</td>\n",
- " <td>1209</td>\n",
- " <td>1253</td>\n",
- " <td>1068</td>\n",
- " <td>1710</td>\n",
- " <td>1219</td>\n",
- " <td>720</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>4</td>\n",
- " <td>2016-01-29</td>\n",
- " <td>11317</td>\n",
- " <td>11289.0</td>\n",
- " <td>NaN</td>\n",
- " <td>1810</td>\n",
- " <td>NaN</td>\n",
- " <td>47</td>\n",
- " <td>14</td>\n",
- " <td>324</td>\n",
- " <td>...</td>\n",
- " <td>631</td>\n",
- " <td>1516</td>\n",
- " <td>1131</td>\n",
- " <td>858</td>\n",
- " <td>1195</td>\n",
- " <td>1236</td>\n",
- " <td>1065</td>\n",
- " <td>1730</td>\n",
- " <td>1207</td>\n",
- " <td>717</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>5</td>\n",
- " <td>2016-02-05</td>\n",
- " <td>11052</td>\n",
- " <td>10965.6</td>\n",
- " <td>NaN</td>\n",
- " <td>1748</td>\n",
- " <td>NaN</td>\n",
- " <td>60</td>\n",
- " <td>22</td>\n",
- " <td>314</td>\n",
- " <td>...</td>\n",
- " <td>620</td>\n",
- " <td>1459</td>\n",
- " <td>1109</td>\n",
- " <td>954</td>\n",
- " <td>1197</td>\n",
- " <td>1160</td>\n",
- " <td>1059</td>\n",
- " <td>1604</td>\n",
- " <td>1169</td>\n",
- " <td>690</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "<p>5 rows × 41 columns</p>\n",
- "</div>"
- ],
- "text/plain": [
- " Week number Week ended Total deaths, all ages \\\n",
- " Unnamed: 0_level_1 Unnamed: 1_level_1 Unnamed: 2_level_1 \n",
- "0 1 2016-01-08 13045 \n",
- "1 2 2016-01-15 11501 \n",
- "2 3 2016-01-22 11473 \n",
- "3 4 2016-01-29 11317 \n",
- "4 5 2016-02-05 11052 \n",
- "\n",
- " Total deaths: average of corresponding Unnamed: 4_level_0 \\\n",
- " Unnamed: 3_level_1 Deaths by underlying cause \n",
- "0 11701.4 NaN \n",
- "1 13016.4 NaN \n",
- "2 11765.4 NaN \n",
- "3 11289.0 NaN \n",
- "4 10965.6 NaN \n",
- "\n",
- " Unnamed: 5_level_0 \\\n",
- " All respiratory diseases (ICD-10 J00-J99)\\nICD-10 v 2013 (IRIS) \n",
- "0 2046 \n",
- "1 1835 \n",
- "2 1775 \n",
- "3 1810 \n",
- "4 1748 \n",
- "\n",
- " Persons Unnamed: 7_level_0 Unnamed: 8_level_0 \\\n",
- " Deaths by age group Under 1 year 01-14 \n",
- "0 NaN 49 17 \n",
- "1 NaN 64 24 \n",
- "2 NaN 50 18 \n",
- "3 NaN 47 14 \n",
- "4 NaN 60 22 \n",
- "\n",
- " Unnamed: 9_level_0 ... E12000001 E12000002 E12000003 \\\n",
- " 15-44 ... North East North West Yorkshire and The Humber \n",
- "0 299 ... 705 1748 1284 \n",
- "1 326 ... 600 1532 1148 \n",
- "2 345 ... 612 1602 1119 \n",
- "3 324 ... 631 1516 1131 \n",
- "4 314 ... 620 1459 1109 \n",
- "\n",
- " E12000004 E12000005 E12000006 E12000007 E12000008 E12000009 \\\n",
- " East Midlands West Midlands East London South East South West \n",
- "0 1067 1396 1401 1226 1951 1424 \n",
- "1 956 1208 1237 1048 1771 1263 \n",
- "2 929 1209 1253 1068 1710 1219 \n",
- "3 858 1195 1236 1065 1730 1207 \n",
- "4 954 1197 1160 1059 1604 1169 \n",
- "\n",
- " W92000004 \n",
- " Wales \n",
- "0 809 \n",
- "1 711 \n",
- "2 720 \n",
- "3 717 \n",
- "4 690 \n",
- "\n",
- "[5 rows x 41 columns]"
- ]
- },
- "execution_count": 470,
- "metadata": {},
- "output_type": "execute_result"
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- "source": [
- "raw_data_2016.head()"
- ]
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- "execution_count": 471,
- "metadata": {},
- "outputs": [
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- "data": {
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- "text/plain": [
- " Week number Week ended Total deaths, all ages W92000004\n",
- "0 1 2016-01-08 13045 809\n",
- "1 2 2016-01-15 11501 711\n",
- "2 3 2016-01-22 11473 720\n",
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- ]
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- "execution_count": 471,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "rdew = raw_data_2016.iloc[:, [0, 1, 2, -1]].droplevel(axis=1, level=1)\n",
- "rdew.head()"
- ]
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- {
- "cell_type": "code",
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- "text/plain": [
- " week date_up_to deaths year nation\n",
- "0 1 2016-01-08 809 2016 Wales\n",
- "1 2 2016-01-15 711 2016 Wales\n",
- "2 3 2016-01-22 720 2016 Wales\n",
- "3 4 2016-01-29 717 2016 Wales\n",
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- ]
- },
- "execution_count": 472,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "rd = rdew.drop(columns=['Total deaths, all ages']).rename(\n",
- " columns={'Week ended': 'date_up_to', 'W92000004': 'deaths',\n",
- " 'Week number': 'week'}\n",
- " )\n",
- "rd['year'] = 2016\n",
- "rd['nation'] = 'Wales'\n",
- "rd.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 473,
- "metadata": {},
- "outputs": [],
- "source": [
- "rd.to_sql(\n",
- " 'all_causes_deaths',\n",
- " conn,\n",
- " if_exists='append',\n",
- " index=False)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 474,
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- "outputs": [
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- " <th>2</th>\n",
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- " <td>England</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>2016-01-29</td>\n",
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- " <td>10600</td>\n",
- " <td>2016</td>\n",
- " <td>England</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>2016-02-05</td>\n",
- " <td>5</td>\n",
- " <td>10362</td>\n",
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- " <td>England</td>\n",
- " </tr>\n",
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- "text/plain": [
- " date_up_to week deaths year nation\n",
- "0 2016-01-08 1 12236 2016 England\n",
- "1 2016-01-15 2 10790 2016 England\n",
- "2 2016-01-22 3 10753 2016 England\n",
- "3 2016-01-29 4 10600 2016 England\n",
- "4 2016-02-05 5 10362 2016 England"
- ]
- },
- "execution_count": 474,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "rd = rdew.loc[:, ['Week ended','Week number']]\n",
- "rd['deaths'] = rdew['Total deaths, all ages'] - rdew['W92000004']\n",
- "rd = rd.rename(\n",
- " columns={'Week ended': 'date_up_to', 'Week number': 'week'}\n",
- " )\n",
- "rd['year'] = 2016\n",
- "rd['nation'] = 'England'\n",
- "rd.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 475,
- "metadata": {},
- "outputs": [],
- "source": [
- "rd.to_sql(\n",
- " 'all_causes_deaths',\n",
- " conn,\n",
- " if_exists='append',\n",
- " index=False)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 476,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "22 rows affected.\n"
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- },
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- "</table>"
- ],
- "text/plain": [
- "[(2016, 'England', 52),\n",
- " (2017, 'England', 52),\n",
- " (2018, 'England', 52),\n",
- " (2019, 'England', 52),\n",
- " (2020, 'England', 53),\n",
- " (2015, 'Northern Ireland', 53),\n",
- " (2016, 'Northern Ireland', 52),\n",
- " (2017, 'Northern Ireland', 52),\n",
- " (2018, 'Northern Ireland', 52),\n",
- " (2019, 'Northern Ireland', 52),\n",
- " (2020, 'Northern Ireland', 53),\n",
- " (2015, 'Scotland', 53),\n",
- " (2016, 'Scotland', 52),\n",
- " (2017, 'Scotland', 52),\n",
- " (2018, 'Scotland', 52),\n",
- " (2019, 'Scotland', 52),\n",
- " (2020, 'Scotland', 53),\n",
- " (2016, 'Wales', 52),\n",
- " (2017, 'Wales', 52),\n",
- " (2018, 'Wales', 52),\n",
- " (2019, 'Wales', 52),\n",
- " (2020, 'Wales', 53)]"
- ]
- },
- "execution_count": 476,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- " %sql select year, nation, count(date_up_to) from all_causes_deaths group by (year, nation) order by nation, year"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 477,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "raw_data_2015 = pd.read_csv('uk-deaths-data/publishedweek2015.csv', \n",
- " parse_dates=[1], dayfirst=True,\n",
- "# index_col=0,\n",
- " header=[0, 1])\n",
- "# raw_data_2015.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 478,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
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- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>Week number</th>\n",
- " <th>Week ended</th>\n",
- " <th>Total deaths, all ages</th>\n",
- " <th>W92000004</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>0</th>\n",
- " <td>1</td>\n",
- " <td>2015-01-02</td>\n",
- " <td>12286</td>\n",
- " <td>725</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>2</td>\n",
- " <td>2015-01-09</td>\n",
- " <td>16237</td>\n",
- " <td>1031</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>3</td>\n",
- " <td>2015-01-16</td>\n",
- " <td>14866</td>\n",
- " <td>936</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>4</td>\n",
- " <td>2015-01-23</td>\n",
- " <td>13934</td>\n",
- " <td>828</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>5</td>\n",
- " <td>2015-01-30</td>\n",
- " <td>12900</td>\n",
- " <td>801</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " Week number Week ended Total deaths, all ages W92000004\n",
- "0 1 2015-01-02 12286 725\n",
- "1 2 2015-01-09 16237 1031\n",
- "2 3 2015-01-16 14866 936\n",
- "3 4 2015-01-23 13934 828\n",
- "4 5 2015-01-30 12900 801"
- ]
- },
- "execution_count": 478,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "rdew = raw_data_2015.iloc[:, [0, 1, 2, -1]].droplevel(axis=1, level=1)\n",
- "rdew.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 479,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
- " .dataframe tbody tr th:only-of-type {\n",
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- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>week</th>\n",
- " <th>date_up_to</th>\n",
- " <th>deaths</th>\n",
- " <th>year</th>\n",
- " <th>nation</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>0</th>\n",
- " <td>1</td>\n",
- " <td>2015-01-02</td>\n",
- " <td>725</td>\n",
- " <td>2015</td>\n",
- " <td>Wales</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>2</td>\n",
- " <td>2015-01-09</td>\n",
- " <td>1031</td>\n",
- " <td>2015</td>\n",
- " <td>Wales</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>3</td>\n",
- " <td>2015-01-16</td>\n",
- " <td>936</td>\n",
- " <td>2015</td>\n",
- " <td>Wales</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>4</td>\n",
- " <td>2015-01-23</td>\n",
- " <td>828</td>\n",
- " <td>2015</td>\n",
- " <td>Wales</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>5</td>\n",
- " <td>2015-01-30</td>\n",
- " <td>801</td>\n",
- " <td>2015</td>\n",
- " <td>Wales</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " week date_up_to deaths year nation\n",
- "0 1 2015-01-02 725 2015 Wales\n",
- "1 2 2015-01-09 1031 2015 Wales\n",
- "2 3 2015-01-16 936 2015 Wales\n",
- "3 4 2015-01-23 828 2015 Wales\n",
- "4 5 2015-01-30 801 2015 Wales"
- ]
- },
- "execution_count": 479,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "rd = rdew.drop(columns=['Total deaths, all ages']).rename(\n",
- " columns={'Week ended': 'date_up_to', 'W92000004': 'deaths',\n",
- " 'Week number': 'week'}\n",
- " )\n",
- "rd['year'] = 2015\n",
- "rd['nation'] = 'Wales'\n",
- "rd.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 480,
- "metadata": {},
- "outputs": [],
- "source": [
- "rd.to_sql(\n",
- " 'all_causes_deaths',\n",
- " conn,\n",
- " if_exists='append',\n",
- " index=False)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 481,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
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- "<table border=\"1\" class=\"dataframe\">\n",
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- " <th></th>\n",
- " <th>date_up_to</th>\n",
- " <th>week</th>\n",
- " <th>deaths</th>\n",
- " <th>year</th>\n",
- " <th>nation</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>0</th>\n",
- " <td>2015-01-02</td>\n",
- " <td>1</td>\n",
- " <td>11561</td>\n",
- " <td>2015</td>\n",
- " <td>England</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>2015-01-09</td>\n",
- " <td>2</td>\n",
- " <td>15206</td>\n",
- " <td>2015</td>\n",
- " <td>England</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>2015-01-16</td>\n",
- " <td>3</td>\n",
- " <td>13930</td>\n",
- " <td>2015</td>\n",
- " <td>England</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>2015-01-23</td>\n",
- " <td>4</td>\n",
- " <td>13106</td>\n",
- " <td>2015</td>\n",
- " <td>England</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>2015-01-30</td>\n",
- " <td>5</td>\n",
- " <td>12099</td>\n",
- " <td>2015</td>\n",
- " <td>England</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " date_up_to week deaths year nation\n",
- "0 2015-01-02 1 11561 2015 England\n",
- "1 2015-01-09 2 15206 2015 England\n",
- "2 2015-01-16 3 13930 2015 England\n",
- "3 2015-01-23 4 13106 2015 England\n",
- "4 2015-01-30 5 12099 2015 England"
- ]
- },
- "execution_count": 481,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "rd = rdew.loc[:, ['Week ended','Week number']]\n",
- "rd['deaths'] = rdew['Total deaths, all ages'] - rdew['W92000004']\n",
- "rd = rd.rename(\n",
- " columns={'Week ended': 'date_up_to', 'Week number': 'week'}\n",
- " )\n",
- "rd['year'] = 2015\n",
- "rd['nation'] = 'England'\n",
- "rd.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 482,
- "metadata": {},
- "outputs": [],
- "source": [
- "rd.to_sql(\n",
- " 'all_causes_deaths',\n",
- " conn,\n",
- " if_exists='append',\n",
- " index=False)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 483,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "24 rows affected.\n"
- ]
- },
- {
- "data": {
- "text/html": [
- "<table>\n",
- " <thead>\n",
- " <tr>\n",
- " <th>year</th>\n",
- " <th>nation</th>\n",
- " <th>count</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <td>2015</td>\n",
- " <td>England</td>\n",
- " <td>53</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2015</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>53</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2015</td>\n",
- " <td>Scotland</td>\n",
- " <td>53</td>\n",
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- " <td>2015</td>\n",
- " <td>Wales</td>\n",
- " <td>53</td>\n",
- " </tr>\n",
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- " <td>2016</td>\n",
- " <td>England</td>\n",
- " <td>52</td>\n",
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- " <td>2016</td>\n",
- " <td>Northern Ireland</td>\n",
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- " <td>2016</td>\n",
- " <td>Scotland</td>\n",
- " <td>52</td>\n",
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- " <td>2016</td>\n",
- " <td>Wales</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2017</td>\n",
- " <td>England</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
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- " <td>2017</td>\n",
- " <td>Northern Ireland</td>\n",
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- " <td>Wales</td>\n",
- " <td>52</td>\n",
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- " <td>2018</td>\n",
- " <td>England</td>\n",
- " <td>52</td>\n",
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- " <td>2018</td>\n",
- " <td>Northern Ireland</td>\n",
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- " <td>Wales</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2019</td>\n",
- " <td>England</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2019</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2019</td>\n",
- " <td>Scotland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2019</td>\n",
- " <td>Wales</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020</td>\n",
- " <td>England</td>\n",
- " <td>53</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>53</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020</td>\n",
- " <td>Scotland</td>\n",
- " <td>53</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020</td>\n",
- " <td>Wales</td>\n",
- " <td>53</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>"
- ],
- "text/plain": [
- "[(2015, 'England', 53),\n",
- " (2015, 'Northern Ireland', 53),\n",
- " (2015, 'Scotland', 53),\n",
- " (2015, 'Wales', 53),\n",
- " (2016, 'England', 52),\n",
- " (2016, 'Northern Ireland', 52),\n",
- " (2016, 'Scotland', 52),\n",
- " (2016, 'Wales', 52),\n",
- " (2017, 'England', 52),\n",
- " (2017, 'Northern Ireland', 52),\n",
- " (2017, 'Scotland', 52),\n",
- " (2017, 'Wales', 52),\n",
- " (2018, 'England', 52),\n",
- " (2018, 'Northern Ireland', 52),\n",
- " (2018, 'Scotland', 52),\n",
- " (2018, 'Wales', 52),\n",
- " (2019, 'England', 52),\n",
- " (2019, 'Northern Ireland', 52),\n",
- " (2019, 'Scotland', 52),\n",
- " (2019, 'Wales', 52),\n",
- " (2020, 'England', 53),\n",
- " (2020, 'Northern Ireland', 53),\n",
- " (2020, 'Scotland', 53),\n",
- " (2020, 'Wales', 53)]"
- ]
- },
- "execution_count": 483,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "%sql select year, nation, count(date_up_to) from all_causes_deaths group by (year, nation) order by year, nation"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 568,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "314 rows affected.\n",
- "Returning data to local variable res\n"
- ]
- }
- ],
- "source": [
- "%%sql res << select week, year, deaths\n",
- "from all_causes_deaths\n",
- "where nation = 'England'"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 569,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
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- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th>year</th>\n",
- " <th>2015</th>\n",
- " <th>2016</th>\n",
- " <th>2017</th>\n",
- " <th>2018</th>\n",
- " <th>2019</th>\n",
- " <th>2020</th>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>week</th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>11561.0</td>\n",
- " <td>12236.0</td>\n",
- " <td>11247.0</td>\n",
- " <td>11940.0</td>\n",
- " <td>10237.0</td>\n",
- " <td>11467.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>15206.0</td>\n",
- " <td>10790.0</td>\n",
- " <td>12890.0</td>\n",
- " <td>14146.0</td>\n",
- " <td>11800.0</td>\n",
- " <td>13119.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>13930.0</td>\n",
- " <td>10753.0</td>\n",
- " <td>12775.0</td>\n",
- " <td>13371.0</td>\n",
- " <td>11177.0</td>\n",
- " <td>12223.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>13106.0</td>\n",
- " <td>10600.0</td>\n",
- " <td>11996.0</td>\n",
- " <td>13085.0</td>\n",
- " <td>11006.0</td>\n",
- " <td>11133.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>5</th>\n",
- " <td>12099.0</td>\n",
- " <td>10362.0</td>\n",
- " <td>11736.0</td>\n",
- " <td>12470.0</td>\n",
- " <td>10552.0</td>\n",
- " <td>10885.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>6</th>\n",
- " <td>11319.0</td>\n",
- " <td>10470.0</td>\n",
- " <td>11546.0</td>\n",
- " <td>11694.0</td>\n",
- " <td>10959.0</td>\n",
- " <td>10296.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>7</th>\n",
- " <td>11112.0</td>\n",
- " <td>9933.0</td>\n",
- " <td>10954.0</td>\n",
- " <td>11443.0</td>\n",
- " <td>11076.0</td>\n",
- " <td>10216.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>8</th>\n",
- " <td>10695.0</td>\n",
- " <td>10360.0</td>\n",
- " <td>11093.0</td>\n",
- " <td>11353.0</td>\n",
- " <td>10600.0</td>\n",
- " <td>10162.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>9</th>\n",
- " <td>10736.0</td>\n",
- " <td>10564.0</td>\n",
- " <td>10533.0</td>\n",
- " <td>10220.0</td>\n",
- " <td>10360.0</td>\n",
- " <td>10165.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>10</th>\n",
- " <td>10757.0</td>\n",
- " <td>10276.0</td>\n",
- " <td>10443.0</td>\n",
- " <td>12101.0</td>\n",
- " <td>10276.0</td>\n",
- " <td>10243.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>11</th>\n",
- " <td>10290.0</td>\n",
- " <td>10284.0</td>\n",
- " <td>10044.0</td>\n",
- " <td>11870.0</td>\n",
- " <td>9901.0</td>\n",
- " <td>10344.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>12</th>\n",
- " <td>9888.0</td>\n",
- " <td>8967.0</td>\n",
- " <td>9690.0</td>\n",
- " <td>11139.0</td>\n",
- " <td>9774.0</td>\n",
- " <td>9926.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>13</th>\n",
- " <td>9827.0</td>\n",
- " <td>9574.0</td>\n",
- " <td>9369.0</td>\n",
- " <td>9308.0</td>\n",
- " <td>9213.0</td>\n",
- " <td>10422.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>14</th>\n",
- " <td>8482.0</td>\n",
- " <td>10857.0</td>\n",
- " <td>9297.0</td>\n",
- " <td>10064.0</td>\n",
- " <td>9484.0</td>\n",
- " <td>15467.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>15</th>\n",
- " <td>9429.0</td>\n",
- " <td>10679.0</td>\n",
- " <td>7916.0</td>\n",
- " <td>11558.0</td>\n",
- " <td>9654.0</td>\n",
- " <td>17588.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>16</th>\n",
- " <td>10968.0</td>\n",
- " <td>10211.0</td>\n",
- " <td>8990.0</td>\n",
- " <td>10535.0</td>\n",
- " <td>8445.0</td>\n",
- " <td>21182.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>17</th>\n",
- " <td>9937.0</td>\n",
- " <td>9784.0</td>\n",
- " <td>10181.0</td>\n",
- " <td>9692.0</td>\n",
- " <td>9381.0</td>\n",
- " <td>20873.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>18</th>\n",
- " <td>9506.0</td>\n",
- " <td>8568.0</td>\n",
- " <td>8464.0</td>\n",
- " <td>9520.0</td>\n",
- " <td>10519.0</td>\n",
- " <td>17024.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>19</th>\n",
- " <td>8273.0</td>\n",
- " <td>9985.0</td>\n",
- " <td>10006.0</td>\n",
- " <td>8094.0</td>\n",
- " <td>8455.0</td>\n",
- " <td>11965.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>20</th>\n",
- " <td>9668.0</td>\n",
- " <td>9342.0</td>\n",
- " <td>9673.0</td>\n",
- " <td>9474.0</td>\n",
- " <td>9614.0</td>\n",
- " <td>13801.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>21</th>\n",
- " <td>9391.0</td>\n",
- " <td>9115.0</td>\n",
- " <td>9438.0</td>\n",
- " <td>9033.0</td>\n",
- " <td>9657.0</td>\n",
- " <td>11596.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>22</th>\n",
- " <td>7625.0</td>\n",
- " <td>7409.0</td>\n",
- " <td>7746.0</td>\n",
- " <td>7609.0</td>\n",
- " <td>7742.0</td>\n",
- " <td>9237.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>23</th>\n",
- " <td>9509.0</td>\n",
- " <td>9289.0</td>\n",
- " <td>9182.0</td>\n",
- " <td>9343.0</td>\n",
- " <td>9514.0</td>\n",
- " <td>10009.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>24</th>\n",
- " <td>8942.0</td>\n",
- " <td>8808.0</td>\n",
- " <td>8768.0</td>\n",
- " <td>8782.0</td>\n",
- " <td>8847.0</td>\n",
- " <td>9402.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>25</th>\n",
- " <td>8717.0</td>\n",
- " <td>8807.0</td>\n",
- " <td>9019.0</td>\n",
- " <td>8694.0</td>\n",
- " <td>8916.0</td>\n",
- " <td>8722.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>26</th>\n",
- " <td>8593.0</td>\n",
- " <td>8679.0</td>\n",
- " <td>8788.0</td>\n",
- " <td>8613.0</td>\n",
- " <td>8947.0</td>\n",
- " <td>8427.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>27</th>\n",
- " <td>8670.0</td>\n",
- " <td>8614.0</td>\n",
- " <td>8707.0</td>\n",
- " <td>8633.0</td>\n",
- " <td>8528.0</td>\n",
- " <td>8556.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>28</th>\n",
- " <td>8461.0</td>\n",
- " <td>8789.0</td>\n",
- " <td>8812.0</td>\n",
- " <td>8710.0</td>\n",
- " <td>8591.0</td>\n",
- " <td>8118.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>29</th>\n",
- " <td>8228.0</td>\n",
- " <td>8790.0</td>\n",
- " <td>8562.0</td>\n",
- " <td>8579.0</td>\n",
- " <td>8527.0</td>\n",
- " <td>8273.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>30</th>\n",
- " <td>8262.0</td>\n",
- " <td>8725.0</td>\n",
- " <td>8296.0</td>\n",
- " <td>8581.0</td>\n",
- " <td>8569.0</td>\n",
- " <td>8326.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>31</th>\n",
- " <td>8071.0</td>\n",
- " <td>8602.0</td>\n",
- " <td>8351.0</td>\n",
- " <td>8587.0</td>\n",
- " <td>8701.0</td>\n",
- " <td>8415.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>32</th>\n",
- " <td>8298.0</td>\n",
- " <td>8531.0</td>\n",
- " <td>8466.0</td>\n",
- " <td>8782.0</td>\n",
- " <td>8580.0</td>\n",
- " <td>8382.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>33</th>\n",
- " <td>8600.0</td>\n",
- " <td>8496.0</td>\n",
- " <td>8707.0</td>\n",
- " <td>8312.0</td>\n",
- " <td>8504.0</td>\n",
- " <td>8775.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>34</th>\n",
- " <td>8564.0</td>\n",
- " <td>8700.0</td>\n",
- " <td>8812.0</td>\n",
- " <td>8413.0</td>\n",
- " <td>8441.0</td>\n",
- " <td>9037.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>35</th>\n",
- " <td>8423.0</td>\n",
- " <td>7453.0</td>\n",
- " <td>7594.0</td>\n",
- " <td>7354.0</td>\n",
- " <td>7684.0</td>\n",
- " <td>8441.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>36</th>\n",
- " <td>7389.0</td>\n",
- " <td>8847.0</td>\n",
- " <td>8955.0</td>\n",
- " <td>8851.0</td>\n",
- " <td>9113.0</td>\n",
- " <td>7251.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>37</th>\n",
- " <td>8704.0</td>\n",
- " <td>8548.0</td>\n",
- " <td>8845.0</td>\n",
- " <td>8612.0</td>\n",
- " <td>8946.0</td>\n",
- " <td>9233.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>38</th>\n",
- " <td>8542.0</td>\n",
- " <td>8382.0</td>\n",
- " <td>8949.0</td>\n",
- " <td>8707.0</td>\n",
- " <td>8868.0</td>\n",
- " <td>8968.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>39</th>\n",
- " <td>8865.0</td>\n",
- " <td>8402.0</td>\n",
- " <td>9096.0</td>\n",
- " <td>8590.0</td>\n",
- " <td>8906.0</td>\n",
- " <td>9017.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>40</th>\n",
- " <td>8858.0</td>\n",
- " <td>8729.0</td>\n",
- " <td>9147.0</td>\n",
- " <td>8908.0</td>\n",
- " <td>9202.0</td>\n",
- " <td>9274.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>41</th>\n",
- " <td>9124.0</td>\n",
- " <td>9132.0</td>\n",
- " <td>9300.0</td>\n",
- " <td>9043.0</td>\n",
- " <td>9383.0</td>\n",
- " <td>9316.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>42</th>\n",
- " <td>8899.0</td>\n",
- " <td>9144.0</td>\n",
- " <td>9381.0</td>\n",
- " <td>9224.0</td>\n",
- " <td>9534.0</td>\n",
- " <td>9846.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>43</th>\n",
- " <td>9104.0</td>\n",
- " <td>9100.0</td>\n",
- " <td>9131.0</td>\n",
- " <td>8970.0</td>\n",
- " <td>9351.0</td>\n",
- " <td>10078.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>44</th>\n",
- " <td>9025.0</td>\n",
- " <td>9508.0</td>\n",
- " <td>9389.0</td>\n",
- " <td>8925.0</td>\n",
- " <td>9522.0</td>\n",
- " <td>10175.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>45</th>\n",
- " <td>9388.0</td>\n",
- " <td>9844.0</td>\n",
- " <td>9748.0</td>\n",
- " <td>9509.0</td>\n",
- " <td>10044.0</td>\n",
- " <td>10980.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>46</th>\n",
- " <td>9325.0</td>\n",
- " <td>10013.0</td>\n",
- " <td>9609.0</td>\n",
- " <td>9537.0</td>\n",
- " <td>9976.0</td>\n",
- " <td>11512.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>47</th>\n",
- " <td>9219.0</td>\n",
- " <td>9942.0</td>\n",
- " <td>9982.0</td>\n",
- " <td>9300.0</td>\n",
- " <td>10183.0</td>\n",
- " <td>11687.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>48</th>\n",
- " <td>9233.0</td>\n",
- " <td>9796.0</td>\n",
- " <td>9902.0</td>\n",
- " <td>9360.0</td>\n",
- " <td>10269.0</td>\n",
- " <td>11659.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>49</th>\n",
- " <td>9706.0</td>\n",
- " <td>10530.0</td>\n",
- " <td>10151.0</td>\n",
- " <td>9613.0</td>\n",
- " <td>10079.0</td>\n",
- " <td>11467.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>50</th>\n",
- " <td>9581.0</td>\n",
- " <td>9870.0</td>\n",
- " <td>10509.0</td>\n",
- " <td>9842.0</td>\n",
- " <td>10489.0</td>\n",
- " <td>11478.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>51</th>\n",
- " <td>10043.0</td>\n",
- " <td>10802.0</td>\n",
- " <td>11755.0</td>\n",
- " <td>10392.0</td>\n",
- " <td>11159.0</td>\n",
- " <td>12129.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>52</th>\n",
- " <td>8095.0</td>\n",
- " <td>7445.0</td>\n",
- " <td>7946.0</td>\n",
- " <td>6670.0</td>\n",
- " <td>7037.0</td>\n",
- " <td>10695.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>53</th>\n",
- " <td>7008.0</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9342.0</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- "year 2015 2016 2017 2018 2019 2020\n",
- "week \n",
- "1 11561.0 12236.0 11247.0 11940.0 10237.0 11467.0\n",
- "2 15206.0 10790.0 12890.0 14146.0 11800.0 13119.0\n",
- "3 13930.0 10753.0 12775.0 13371.0 11177.0 12223.0\n",
- "4 13106.0 10600.0 11996.0 13085.0 11006.0 11133.0\n",
- "5 12099.0 10362.0 11736.0 12470.0 10552.0 10885.0\n",
- "6 11319.0 10470.0 11546.0 11694.0 10959.0 10296.0\n",
- "7 11112.0 9933.0 10954.0 11443.0 11076.0 10216.0\n",
- "8 10695.0 10360.0 11093.0 11353.0 10600.0 10162.0\n",
- "9 10736.0 10564.0 10533.0 10220.0 10360.0 10165.0\n",
- "10 10757.0 10276.0 10443.0 12101.0 10276.0 10243.0\n",
- "11 10290.0 10284.0 10044.0 11870.0 9901.0 10344.0\n",
- "12 9888.0 8967.0 9690.0 11139.0 9774.0 9926.0\n",
- "13 9827.0 9574.0 9369.0 9308.0 9213.0 10422.0\n",
- "14 8482.0 10857.0 9297.0 10064.0 9484.0 15467.0\n",
- "15 9429.0 10679.0 7916.0 11558.0 9654.0 17588.0\n",
- "16 10968.0 10211.0 8990.0 10535.0 8445.0 21182.0\n",
- "17 9937.0 9784.0 10181.0 9692.0 9381.0 20873.0\n",
- "18 9506.0 8568.0 8464.0 9520.0 10519.0 17024.0\n",
- "19 8273.0 9985.0 10006.0 8094.0 8455.0 11965.0\n",
- "20 9668.0 9342.0 9673.0 9474.0 9614.0 13801.0\n",
- "21 9391.0 9115.0 9438.0 9033.0 9657.0 11596.0\n",
- "22 7625.0 7409.0 7746.0 7609.0 7742.0 9237.0\n",
- "23 9509.0 9289.0 9182.0 9343.0 9514.0 10009.0\n",
- "24 8942.0 8808.0 8768.0 8782.0 8847.0 9402.0\n",
- "25 8717.0 8807.0 9019.0 8694.0 8916.0 8722.0\n",
- "26 8593.0 8679.0 8788.0 8613.0 8947.0 8427.0\n",
- "27 8670.0 8614.0 8707.0 8633.0 8528.0 8556.0\n",
- "28 8461.0 8789.0 8812.0 8710.0 8591.0 8118.0\n",
- "29 8228.0 8790.0 8562.0 8579.0 8527.0 8273.0\n",
- "30 8262.0 8725.0 8296.0 8581.0 8569.0 8326.0\n",
- "31 8071.0 8602.0 8351.0 8587.0 8701.0 8415.0\n",
- "32 8298.0 8531.0 8466.0 8782.0 8580.0 8382.0\n",
- "33 8600.0 8496.0 8707.0 8312.0 8504.0 8775.0\n",
- "34 8564.0 8700.0 8812.0 8413.0 8441.0 9037.0\n",
- "35 8423.0 7453.0 7594.0 7354.0 7684.0 8441.0\n",
- "36 7389.0 8847.0 8955.0 8851.0 9113.0 7251.0\n",
- "37 8704.0 8548.0 8845.0 8612.0 8946.0 9233.0\n",
- "38 8542.0 8382.0 8949.0 8707.0 8868.0 8968.0\n",
- "39 8865.0 8402.0 9096.0 8590.0 8906.0 9017.0\n",
- "40 8858.0 8729.0 9147.0 8908.0 9202.0 9274.0\n",
- "41 9124.0 9132.0 9300.0 9043.0 9383.0 9316.0\n",
- "42 8899.0 9144.0 9381.0 9224.0 9534.0 9846.0\n",
- "43 9104.0 9100.0 9131.0 8970.0 9351.0 10078.0\n",
- "44 9025.0 9508.0 9389.0 8925.0 9522.0 10175.0\n",
- "45 9388.0 9844.0 9748.0 9509.0 10044.0 10980.0\n",
- "46 9325.0 10013.0 9609.0 9537.0 9976.0 11512.0\n",
- "47 9219.0 9942.0 9982.0 9300.0 10183.0 11687.0\n",
- "48 9233.0 9796.0 9902.0 9360.0 10269.0 11659.0\n",
- "49 9706.0 10530.0 10151.0 9613.0 10079.0 11467.0\n",
- "50 9581.0 9870.0 10509.0 9842.0 10489.0 11478.0\n",
- "51 10043.0 10802.0 11755.0 10392.0 11159.0 12129.0\n",
- "52 8095.0 7445.0 7946.0 6670.0 7037.0 10695.0\n",
- "53 7008.0 NaN NaN NaN NaN 9342.0"
- ]
- },
- "execution_count": 569,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "deaths_headlines_e = res.DataFrame().pivot(index='week', columns='year', values='deaths')\n",
- "deaths_headlines_e"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": 570,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "314 rows affected.\n",
- "Returning data to local variable res\n"
- ]
- }
- ],
- "source": [
- "%%sql res << select week, year, deaths\n",
- "from all_causes_deaths\n",
- "where nation = 'Scotland'"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 571,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
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- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th>year</th>\n",
- " <th>2015</th>\n",
- " <th>2016</th>\n",
- " <th>2017</th>\n",
- " <th>2018</th>\n",
- " <th>2019</th>\n",
- " <th>2020</th>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>week</th>\n",
- " <th></th>\n",
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- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
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- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>1146.0</td>\n",
- " <td>1394.0</td>\n",
- " <td>1205.0</td>\n",
- " <td>1531.0</td>\n",
- " <td>1104.0</td>\n",
- " <td>1161.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>1708.0</td>\n",
- " <td>1305.0</td>\n",
- " <td>1379.0</td>\n",
- " <td>1899.0</td>\n",
- " <td>1507.0</td>\n",
- " <td>1567.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>1489.0</td>\n",
- " <td>1215.0</td>\n",
- " <td>1224.0</td>\n",
- " <td>1629.0</td>\n",
- " <td>1353.0</td>\n",
- " <td>1322.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>1381.0</td>\n",
- " <td>1187.0</td>\n",
- " <td>1197.0</td>\n",
- " <td>1610.0</td>\n",
- " <td>1208.0</td>\n",
- " <td>1226.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>5</th>\n",
- " <td>1286.0</td>\n",
- " <td>1205.0</td>\n",
- " <td>1332.0</td>\n",
- " <td>1369.0</td>\n",
- " <td>1206.0</td>\n",
- " <td>1188.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>6</th>\n",
- " <td>1344.0</td>\n",
- " <td>1217.0</td>\n",
- " <td>1200.0</td>\n",
- " <td>1265.0</td>\n",
- " <td>1243.0</td>\n",
- " <td>1216.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>7</th>\n",
- " <td>1360.0</td>\n",
- " <td>1209.0</td>\n",
- " <td>1231.0</td>\n",
- " <td>1315.0</td>\n",
- " <td>1181.0</td>\n",
- " <td>1162.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>8</th>\n",
- " <td>1320.0</td>\n",
- " <td>1239.0</td>\n",
- " <td>1185.0</td>\n",
- " <td>1245.0</td>\n",
- " <td>1245.0</td>\n",
- " <td>1162.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>9</th>\n",
- " <td>1308.0</td>\n",
- " <td>1150.0</td>\n",
- " <td>1219.0</td>\n",
- " <td>1022.0</td>\n",
- " <td>1125.0</td>\n",
- " <td>1171.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>10</th>\n",
- " <td>1192.0</td>\n",
- " <td>1174.0</td>\n",
- " <td>1146.0</td>\n",
- " <td>1475.0</td>\n",
- " <td>1156.0</td>\n",
- " <td>1208.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>11</th>\n",
- " <td>1201.0</td>\n",
- " <td>1175.0</td>\n",
- " <td>1141.0</td>\n",
- " <td>1220.0</td>\n",
- " <td>1108.0</td>\n",
- " <td>1156.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>12</th>\n",
- " <td>1149.0</td>\n",
- " <td>1042.0</td>\n",
- " <td>1152.0</td>\n",
- " <td>1158.0</td>\n",
- " <td>1101.0</td>\n",
- " <td>1196.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>13</th>\n",
- " <td>1171.0</td>\n",
- " <td>1172.0</td>\n",
- " <td>1112.0</td>\n",
- " <td>1050.0</td>\n",
- " <td>1086.0</td>\n",
- " <td>1079.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>14</th>\n",
- " <td>1042.0</td>\n",
- " <td>1166.0</td>\n",
- " <td>1060.0</td>\n",
- " <td>1192.0</td>\n",
- " <td>1032.0</td>\n",
- " <td>1744.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>15</th>\n",
- " <td>1192.0</td>\n",
- " <td>1048.0</td>\n",
- " <td>998.0</td>\n",
- " <td>1192.0</td>\n",
- " <td>1069.0</td>\n",
- " <td>1978.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>16</th>\n",
- " <td>1095.0</td>\n",
- " <td>1092.0</td>\n",
- " <td>1111.0</td>\n",
- " <td>1136.0</td>\n",
- " <td>902.0</td>\n",
- " <td>1916.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>17</th>\n",
- " <td>1108.0</td>\n",
- " <td>1076.0</td>\n",
- " <td>1121.0</td>\n",
- " <td>1008.0</td>\n",
- " <td>1121.0</td>\n",
- " <td>1836.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>18</th>\n",
- " <td>1117.0</td>\n",
- " <td>1006.0</td>\n",
- " <td>1050.0</td>\n",
- " <td>1093.0</td>\n",
- " <td>1131.0</td>\n",
- " <td>1679.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>19</th>\n",
- " <td>1020.0</td>\n",
- " <td>1047.0</td>\n",
- " <td>1119.0</td>\n",
- " <td>967.0</td>\n",
- " <td>1018.0</td>\n",
- " <td>1435.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>20</th>\n",
- " <td>1103.0</td>\n",
- " <td>1010.0</td>\n",
- " <td>1115.0</td>\n",
- " <td>977.0</td>\n",
- " <td>1115.0</td>\n",
- " <td>1421.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>21</th>\n",
- " <td>1039.0</td>\n",
- " <td>994.0</td>\n",
- " <td>1063.0</td>\n",
- " <td>1070.0</td>\n",
- " <td>1061.0</td>\n",
- " <td>1226.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>22</th>\n",
- " <td>1043.0</td>\n",
- " <td>999.0</td>\n",
- " <td>1015.0</td>\n",
- " <td>998.0</td>\n",
- " <td>1029.0</td>\n",
- " <td>1125.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>23</th>\n",
- " <td>1106.0</td>\n",
- " <td>1023.0</td>\n",
- " <td>1076.0</td>\n",
- " <td>1033.0</td>\n",
- " <td>1042.0</td>\n",
- " <td>1093.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>24</th>\n",
- " <td>1038.0</td>\n",
- " <td>988.0</td>\n",
- " <td>1031.0</td>\n",
- " <td>915.0</td>\n",
- " <td>1028.0</td>\n",
- " <td>1034.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>25</th>\n",
- " <td>1025.0</td>\n",
- " <td>994.0</td>\n",
- " <td>1032.0</td>\n",
- " <td>993.0</td>\n",
- " <td>1053.0</td>\n",
- " <td>1065.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>26</th>\n",
- " <td>1032.0</td>\n",
- " <td>1007.0</td>\n",
- " <td>994.0</td>\n",
- " <td>1046.0</td>\n",
- " <td>1051.0</td>\n",
- " <td>1008.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>27</th>\n",
- " <td>1040.0</td>\n",
- " <td>988.0</td>\n",
- " <td>1040.0</td>\n",
- " <td>1041.0</td>\n",
- " <td>981.0</td>\n",
- " <td>983.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>28</th>\n",
- " <td>1011.0</td>\n",
- " <td>1022.0</td>\n",
- " <td>1014.0</td>\n",
- " <td>1002.0</td>\n",
- " <td>1077.0</td>\n",
- " <td>976.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>29</th>\n",
- " <td>1023.0</td>\n",
- " <td>1041.0</td>\n",
- " <td>1025.0</td>\n",
- " <td>928.0</td>\n",
- " <td>964.0</td>\n",
- " <td>1033.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>30</th>\n",
- " <td>956.0</td>\n",
- " <td>979.0</td>\n",
- " <td>978.0</td>\n",
- " <td>933.0</td>\n",
- " <td>1041.0</td>\n",
- " <td>961.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>31</th>\n",
- " <td>985.0</td>\n",
- " <td>987.0</td>\n",
- " <td>1011.0</td>\n",
- " <td>969.0</td>\n",
- " <td>1020.0</td>\n",
- " <td>1043.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>32</th>\n",
- " <td>1043.0</td>\n",
- " <td>997.0</td>\n",
- " <td>1002.0</td>\n",
- " <td>953.0</td>\n",
- " <td>1018.0</td>\n",
- " <td>1011.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>33</th>\n",
- " <td>969.0</td>\n",
- " <td>982.0</td>\n",
- " <td>1004.0</td>\n",
- " <td>978.0</td>\n",
- " <td>1028.0</td>\n",
- " <td>922.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>34</th>\n",
- " <td>982.0</td>\n",
- " <td>1017.0</td>\n",
- " <td>1045.0</td>\n",
- " <td>941.0</td>\n",
- " <td>1011.0</td>\n",
- " <td>1046.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>35</th>\n",
- " <td>954.0</td>\n",
- " <td>1039.0</td>\n",
- " <td>980.0</td>\n",
- " <td>930.0</td>\n",
- " <td>1013.0</td>\n",
- " <td>1029.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>36</th>\n",
- " <td>977.0</td>\n",
- " <td>1007.0</td>\n",
- " <td>1006.0</td>\n",
- " <td>970.0</td>\n",
- " <td>980.0</td>\n",
- " <td>1050.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>37</th>\n",
- " <td>991.0</td>\n",
- " <td>983.0</td>\n",
- " <td>972.0</td>\n",
- " <td>1020.0</td>\n",
- " <td>1074.0</td>\n",
- " <td>1069.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>38</th>\n",
- " <td>1001.0</td>\n",
- " <td>966.0</td>\n",
- " <td>1049.0</td>\n",
- " <td>946.0</td>\n",
- " <td>1071.0</td>\n",
- " <td>952.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>39</th>\n",
- " <td>1010.0</td>\n",
- " <td>1009.0</td>\n",
- " <td>1056.0</td>\n",
- " <td>1015.0</td>\n",
- " <td>1142.0</td>\n",
- " <td>933.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>40</th>\n",
- " <td>1008.0</td>\n",
- " <td>1072.0</td>\n",
- " <td>1016.0</td>\n",
- " <td>1042.0</td>\n",
- " <td>1051.0</td>\n",
- " <td>1195.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>41</th>\n",
- " <td>1028.0</td>\n",
- " <td>1009.0</td>\n",
- " <td>1133.0</td>\n",
- " <td>1081.0</td>\n",
- " <td>1143.0</td>\n",
- " <td>1071.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>42</th>\n",
- " <td>989.0</td>\n",
- " <td>1070.0</td>\n",
- " <td>1067.0</td>\n",
- " <td>1031.0</td>\n",
- " <td>1153.0</td>\n",
- " <td>1131.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>43</th>\n",
- " <td>981.0</td>\n",
- " <td>1052.0</td>\n",
- " <td>1095.0</td>\n",
- " <td>1019.0</td>\n",
- " <td>1115.0</td>\n",
- " <td>1187.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>44</th>\n",
- " <td>1116.0</td>\n",
- " <td>1032.0</td>\n",
- " <td>1062.0</td>\n",
- " <td>1085.0</td>\n",
- " <td>1101.0</td>\n",
- " <td>1262.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>45</th>\n",
- " <td>1028.0</td>\n",
- " <td>1043.0</td>\n",
- " <td>1126.0</td>\n",
- " <td>1144.0</td>\n",
- " <td>1184.0</td>\n",
- " <td>1250.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>46</th>\n",
- " <td>1103.0</td>\n",
- " <td>1174.0</td>\n",
- " <td>1175.0</td>\n",
- " <td>1084.0</td>\n",
- " <td>1160.0</td>\n",
- " <td>1138.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>47</th>\n",
- " <td>1054.0</td>\n",
- " <td>1132.0</td>\n",
- " <td>1178.0</td>\n",
- " <td>1058.0</td>\n",
- " <td>1229.0</td>\n",
- " <td>1360.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>48</th>\n",
- " <td>1115.0</td>\n",
- " <td>1159.0</td>\n",
- " <td>1153.0</td>\n",
- " <td>1062.0</td>\n",
- " <td>1163.0</td>\n",
- " <td>1328.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>49</th>\n",
- " <td>1089.0</td>\n",
- " <td>1188.0</td>\n",
- " <td>1237.0</td>\n",
- " <td>1076.0</td>\n",
- " <td>1108.0</td>\n",
- " <td>1296.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>50</th>\n",
- " <td>1101.0</td>\n",
- " <td>1219.0</td>\n",
- " <td>1335.0</td>\n",
- " <td>1212.0</td>\n",
- " <td>1312.0</td>\n",
- " <td>1284.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>51</th>\n",
- " <td>1146.0</td>\n",
- " <td>1284.0</td>\n",
- " <td>1437.0</td>\n",
- " <td>1216.0</td>\n",
- " <td>1277.0</td>\n",
- " <td>1297.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>52</th>\n",
- " <td>944.0</td>\n",
- " <td>1133.0</td>\n",
- " <td>1168.0</td>\n",
- " <td>1058.0</td>\n",
- " <td>1000.0</td>\n",
- " <td>1205.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>53</th>\n",
- " <td>1018.0</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>1178.0</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- "year 2015 2016 2017 2018 2019 2020\n",
- "week \n",
- "1 1146.0 1394.0 1205.0 1531.0 1104.0 1161.0\n",
- "2 1708.0 1305.0 1379.0 1899.0 1507.0 1567.0\n",
- "3 1489.0 1215.0 1224.0 1629.0 1353.0 1322.0\n",
- "4 1381.0 1187.0 1197.0 1610.0 1208.0 1226.0\n",
- "5 1286.0 1205.0 1332.0 1369.0 1206.0 1188.0\n",
- "6 1344.0 1217.0 1200.0 1265.0 1243.0 1216.0\n",
- "7 1360.0 1209.0 1231.0 1315.0 1181.0 1162.0\n",
- "8 1320.0 1239.0 1185.0 1245.0 1245.0 1162.0\n",
- "9 1308.0 1150.0 1219.0 1022.0 1125.0 1171.0\n",
- "10 1192.0 1174.0 1146.0 1475.0 1156.0 1208.0\n",
- "11 1201.0 1175.0 1141.0 1220.0 1108.0 1156.0\n",
- "12 1149.0 1042.0 1152.0 1158.0 1101.0 1196.0\n",
- "13 1171.0 1172.0 1112.0 1050.0 1086.0 1079.0\n",
- "14 1042.0 1166.0 1060.0 1192.0 1032.0 1744.0\n",
- "15 1192.0 1048.0 998.0 1192.0 1069.0 1978.0\n",
- "16 1095.0 1092.0 1111.0 1136.0 902.0 1916.0\n",
- "17 1108.0 1076.0 1121.0 1008.0 1121.0 1836.0\n",
- "18 1117.0 1006.0 1050.0 1093.0 1131.0 1679.0\n",
- "19 1020.0 1047.0 1119.0 967.0 1018.0 1435.0\n",
- "20 1103.0 1010.0 1115.0 977.0 1115.0 1421.0\n",
- "21 1039.0 994.0 1063.0 1070.0 1061.0 1226.0\n",
- "22 1043.0 999.0 1015.0 998.0 1029.0 1125.0\n",
- "23 1106.0 1023.0 1076.0 1033.0 1042.0 1093.0\n",
- "24 1038.0 988.0 1031.0 915.0 1028.0 1034.0\n",
- "25 1025.0 994.0 1032.0 993.0 1053.0 1065.0\n",
- "26 1032.0 1007.0 994.0 1046.0 1051.0 1008.0\n",
- "27 1040.0 988.0 1040.0 1041.0 981.0 983.0\n",
- "28 1011.0 1022.0 1014.0 1002.0 1077.0 976.0\n",
- "29 1023.0 1041.0 1025.0 928.0 964.0 1033.0\n",
- "30 956.0 979.0 978.0 933.0 1041.0 961.0\n",
- "31 985.0 987.0 1011.0 969.0 1020.0 1043.0\n",
- "32 1043.0 997.0 1002.0 953.0 1018.0 1011.0\n",
- "33 969.0 982.0 1004.0 978.0 1028.0 922.0\n",
- "34 982.0 1017.0 1045.0 941.0 1011.0 1046.0\n",
- "35 954.0 1039.0 980.0 930.0 1013.0 1029.0\n",
- "36 977.0 1007.0 1006.0 970.0 980.0 1050.0\n",
- "37 991.0 983.0 972.0 1020.0 1074.0 1069.0\n",
- "38 1001.0 966.0 1049.0 946.0 1071.0 952.0\n",
- "39 1010.0 1009.0 1056.0 1015.0 1142.0 933.0\n",
- "40 1008.0 1072.0 1016.0 1042.0 1051.0 1195.0\n",
- "41 1028.0 1009.0 1133.0 1081.0 1143.0 1071.0\n",
- "42 989.0 1070.0 1067.0 1031.0 1153.0 1131.0\n",
- "43 981.0 1052.0 1095.0 1019.0 1115.0 1187.0\n",
- "44 1116.0 1032.0 1062.0 1085.0 1101.0 1262.0\n",
- "45 1028.0 1043.0 1126.0 1144.0 1184.0 1250.0\n",
- "46 1103.0 1174.0 1175.0 1084.0 1160.0 1138.0\n",
- "47 1054.0 1132.0 1178.0 1058.0 1229.0 1360.0\n",
- "48 1115.0 1159.0 1153.0 1062.0 1163.0 1328.0\n",
- "49 1089.0 1188.0 1237.0 1076.0 1108.0 1296.0\n",
- "50 1101.0 1219.0 1335.0 1212.0 1312.0 1284.0\n",
- "51 1146.0 1284.0 1437.0 1216.0 1277.0 1297.0\n",
- "52 944.0 1133.0 1168.0 1058.0 1000.0 1205.0\n",
- "53 1018.0 NaN NaN NaN NaN 1178.0"
- ]
- },
- "execution_count": 571,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "deaths_headlines_s = res.DataFrame().pivot(index='week', columns='year', values='deaths')\n",
- "deaths_headlines_s"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 572,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "314 rows affected.\n",
- "Returning data to local variable res\n"
- ]
- }
- ],
- "source": [
- "%%sql res << select week, year, deaths\n",
- "from all_causes_deaths\n",
- "where nation = 'Wales'"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 573,
- "metadata": {},
- "outputs": [
- {
- "data": {
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- " <th>year</th>\n",
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- " <th>2016</th>\n",
- " <th>2017</th>\n",
- " <th>2018</th>\n",
- " <th>2019</th>\n",
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- " <th>week</th>\n",
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- " <th>1</th>\n",
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- " <td>718.0</td>\n",
- " <td>787.0</td>\n",
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- " <th>2</th>\n",
- " <td>1031.0</td>\n",
- " <td>711.0</td>\n",
- " <td>825.0</td>\n",
- " <td>904.0</td>\n",
- " <td>809.0</td>\n",
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- " <th>3</th>\n",
- " <td>936.0</td>\n",
- " <td>720.0</td>\n",
- " <td>835.0</td>\n",
- " <td>885.0</td>\n",
- " <td>683.0</td>\n",
- " <td>767.0</td>\n",
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- " <th>4</th>\n",
- " <td>828.0</td>\n",
- " <td>717.0</td>\n",
- " <td>881.0</td>\n",
- " <td>850.0</td>\n",
- " <td>734.0</td>\n",
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- " <th>5</th>\n",
- " <td>801.0</td>\n",
- " <td>690.0</td>\n",
- " <td>749.0</td>\n",
- " <td>815.0</td>\n",
- " <td>745.0</td>\n",
- " <td>727.0</td>\n",
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- " <tr>\n",
- " <th>6</th>\n",
- " <td>720.0</td>\n",
- " <td>700.0</td>\n",
- " <td>723.0</td>\n",
- " <td>801.0</td>\n",
- " <td>701.0</td>\n",
- " <td>690.0</td>\n",
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- " <th>7</th>\n",
- " <td>710.0</td>\n",
- " <td>657.0</td>\n",
- " <td>690.0</td>\n",
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- " <td>748.0</td>\n",
- " <td>728.0</td>\n",
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- " <th>8</th>\n",
- " <td>739.0</td>\n",
- " <td>696.0</td>\n",
- " <td>701.0</td>\n",
- " <td>789.0</td>\n",
- " <td>695.0</td>\n",
- " <td>679.0</td>\n",
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- " <tr>\n",
- " <th>9</th>\n",
- " <td>736.0</td>\n",
- " <td>721.0</td>\n",
- " <td>715.0</td>\n",
- " <td>634.0</td>\n",
- " <td>684.0</td>\n",
- " <td>651.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>10</th>\n",
- " <td>712.0</td>\n",
- " <td>734.0</td>\n",
- " <td>634.0</td>\n",
- " <td>896.0</td>\n",
- " <td>622.0</td>\n",
- " <td>652.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>11</th>\n",
- " <td>661.0</td>\n",
- " <td>738.0</td>\n",
- " <td>653.0</td>\n",
- " <td>918.0</td>\n",
- " <td>666.0</td>\n",
- " <td>675.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>12</th>\n",
- " <td>680.0</td>\n",
- " <td>668.0</td>\n",
- " <td>635.0</td>\n",
- " <td>774.0</td>\n",
- " <td>628.0</td>\n",
- " <td>719.0</td>\n",
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- " <tr>\n",
- " <th>13</th>\n",
- " <td>666.0</td>\n",
- " <td>712.0</td>\n",
- " <td>658.0</td>\n",
- " <td>633.0</td>\n",
- " <td>654.0</td>\n",
- " <td>719.0</td>\n",
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- " <tr>\n",
- " <th>14</th>\n",
- " <td>580.0</td>\n",
- " <td>742.0</td>\n",
- " <td>642.0</td>\n",
- " <td>730.0</td>\n",
- " <td>642.0</td>\n",
- " <td>920.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>15</th>\n",
- " <td>660.0</td>\n",
- " <td>738.0</td>\n",
- " <td>577.0</td>\n",
- " <td>743.0</td>\n",
- " <td>637.0</td>\n",
- " <td>928.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>16</th>\n",
- " <td>671.0</td>\n",
- " <td>714.0</td>\n",
- " <td>654.0</td>\n",
- " <td>688.0</td>\n",
- " <td>580.0</td>\n",
- " <td>1169.0</td>\n",
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- " <tr>\n",
- " <th>17</th>\n",
- " <td>662.0</td>\n",
- " <td>629.0</td>\n",
- " <td>727.0</td>\n",
- " <td>614.0</td>\n",
- " <td>678.0</td>\n",
- " <td>1124.0</td>\n",
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- " <tr>\n",
- " <th>18</th>\n",
- " <td>628.0</td>\n",
- " <td>569.0</td>\n",
- " <td>600.0</td>\n",
- " <td>633.0</td>\n",
- " <td>688.0</td>\n",
- " <td>929.0</td>\n",
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- " <tr>\n",
- " <th>19</th>\n",
- " <td>589.0</td>\n",
- " <td>652.0</td>\n",
- " <td>687.0</td>\n",
- " <td>530.0</td>\n",
- " <td>600.0</td>\n",
- " <td>692.0</td>\n",
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- " <tr>\n",
- " <th>20</th>\n",
- " <td>622.0</td>\n",
- " <td>611.0</td>\n",
- " <td>615.0</td>\n",
- " <td>667.0</td>\n",
- " <td>658.0</td>\n",
- " <td>772.0</td>\n",
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- " <tr>\n",
- " <th>21</th>\n",
- " <td>614.0</td>\n",
- " <td>624.0</td>\n",
- " <td>602.0</td>\n",
- " <td>603.0</td>\n",
- " <td>627.0</td>\n",
- " <td>692.0</td>\n",
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- " <tr>\n",
- " <th>22</th>\n",
- " <td>588.0</td>\n",
- " <td>500.0</td>\n",
- " <td>586.0</td>\n",
- " <td>538.0</td>\n",
- " <td>518.0</td>\n",
- " <td>587.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>23</th>\n",
- " <td>648.0</td>\n",
- " <td>584.0</td>\n",
- " <td>584.0</td>\n",
- " <td>607.0</td>\n",
- " <td>626.0</td>\n",
- " <td>700.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>24</th>\n",
- " <td>606.0</td>\n",
- " <td>578.0</td>\n",
- " <td>599.0</td>\n",
- " <td>561.0</td>\n",
- " <td>598.0</td>\n",
- " <td>574.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>25</th>\n",
- " <td>595.0</td>\n",
- " <td>558.0</td>\n",
- " <td>608.0</td>\n",
- " <td>562.0</td>\n",
- " <td>542.0</td>\n",
- " <td>617.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>26</th>\n",
- " <td>597.0</td>\n",
- " <td>549.0</td>\n",
- " <td>546.0</td>\n",
- " <td>599.0</td>\n",
- " <td>564.0</td>\n",
- " <td>552.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>27</th>\n",
- " <td>535.0</td>\n",
- " <td>524.0</td>\n",
- " <td>556.0</td>\n",
- " <td>625.0</td>\n",
- " <td>534.0</td>\n",
- " <td>584.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>28</th>\n",
- " <td>554.0</td>\n",
- " <td>599.0</td>\n",
- " <td>564.0</td>\n",
- " <td>583.0</td>\n",
- " <td>588.0</td>\n",
- " <td>572.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>29</th>\n",
- " <td>574.0</td>\n",
- " <td>560.0</td>\n",
- " <td>551.0</td>\n",
- " <td>548.0</td>\n",
- " <td>553.0</td>\n",
- " <td>550.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>30</th>\n",
- " <td>529.0</td>\n",
- " <td>610.0</td>\n",
- " <td>586.0</td>\n",
- " <td>560.0</td>\n",
- " <td>543.0</td>\n",
- " <td>565.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>31</th>\n",
- " <td>546.0</td>\n",
- " <td>580.0</td>\n",
- " <td>590.0</td>\n",
- " <td>574.0</td>\n",
- " <td>570.0</td>\n",
- " <td>531.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>32</th>\n",
- " <td>564.0</td>\n",
- " <td>641.0</td>\n",
- " <td>572.0</td>\n",
- " <td>537.0</td>\n",
- " <td>542.0</td>\n",
- " <td>563.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>33</th>\n",
- " <td>548.0</td>\n",
- " <td>574.0</td>\n",
- " <td>592.0</td>\n",
- " <td>518.0</td>\n",
- " <td>589.0</td>\n",
- " <td>617.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>34</th>\n",
- " <td>557.0</td>\n",
- " <td>619.0</td>\n",
- " <td>570.0</td>\n",
- " <td>565.0</td>\n",
- " <td>553.0</td>\n",
- " <td>594.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>35</th>\n",
- " <td>603.0</td>\n",
- " <td>470.0</td>\n",
- " <td>555.0</td>\n",
- " <td>511.0</td>\n",
- " <td>558.0</td>\n",
- " <td>591.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>36</th>\n",
- " <td>489.0</td>\n",
- " <td>552.0</td>\n",
- " <td>542.0</td>\n",
- " <td>594.0</td>\n",
- " <td>582.0</td>\n",
- " <td>488.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>37</th>\n",
- " <td>554.0</td>\n",
- " <td>576.0</td>\n",
- " <td>609.0</td>\n",
- " <td>579.0</td>\n",
- " <td>567.0</td>\n",
- " <td>578.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>38</th>\n",
- " <td>555.0</td>\n",
- " <td>563.0</td>\n",
- " <td>585.0</td>\n",
- " <td>598.0</td>\n",
- " <td>572.0</td>\n",
- " <td>555.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>39</th>\n",
- " <td>664.0</td>\n",
- " <td>592.0</td>\n",
- " <td>593.0</td>\n",
- " <td>560.0</td>\n",
- " <td>611.0</td>\n",
- " <td>617.0</td>\n",
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- " <th>40</th>\n",
- " <td>552.0</td>\n",
- " <td>562.0</td>\n",
- " <td>631.0</td>\n",
- " <td>595.0</td>\n",
- " <td>597.0</td>\n",
- " <td>671.0</td>\n",
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- " <tr>\n",
- " <th>41</th>\n",
- " <td>652.0</td>\n",
- " <td>587.0</td>\n",
- " <td>640.0</td>\n",
- " <td>606.0</td>\n",
- " <td>590.0</td>\n",
- " <td>638.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>42</th>\n",
- " <td>612.0</td>\n",
- " <td>624.0</td>\n",
- " <td>650.0</td>\n",
- " <td>640.0</td>\n",
- " <td>622.0</td>\n",
- " <td>688.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>43</th>\n",
- " <td>607.0</td>\n",
- " <td>624.0</td>\n",
- " <td>608.0</td>\n",
- " <td>633.0</td>\n",
- " <td>670.0</td>\n",
- " <td>661.0</td>\n",
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- " <tr>\n",
- " <th>44</th>\n",
- " <td>593.0</td>\n",
- " <td>644.0</td>\n",
- " <td>595.0</td>\n",
- " <td>604.0</td>\n",
- " <td>642.0</td>\n",
- " <td>712.0</td>\n",
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- " <th>45</th>\n",
- " <td>606.0</td>\n",
- " <td>626.0</td>\n",
- " <td>598.0</td>\n",
- " <td>642.0</td>\n",
- " <td>653.0</td>\n",
- " <td>832.0</td>\n",
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- " <tr>\n",
- " <th>46</th>\n",
- " <td>613.0</td>\n",
- " <td>681.0</td>\n",
- " <td>666.0</td>\n",
- " <td>656.0</td>\n",
- " <td>674.0</td>\n",
- " <td>742.0</td>\n",
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- " <tr>\n",
- " <th>47</th>\n",
- " <td>611.0</td>\n",
- " <td>661.0</td>\n",
- " <td>639.0</td>\n",
- " <td>657.0</td>\n",
- " <td>699.0</td>\n",
- " <td>848.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>48</th>\n",
- " <td>589.0</td>\n",
- " <td>643.0</td>\n",
- " <td>636.0</td>\n",
- " <td>673.0</td>\n",
- " <td>689.0</td>\n",
- " <td>797.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>49</th>\n",
- " <td>659.0</td>\n",
- " <td>693.0</td>\n",
- " <td>630.0</td>\n",
- " <td>674.0</td>\n",
- " <td>737.0</td>\n",
- " <td>836.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>50</th>\n",
- " <td>688.0</td>\n",
- " <td>663.0</td>\n",
- " <td>708.0</td>\n",
- " <td>708.0</td>\n",
- " <td>699.0</td>\n",
- " <td>814.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>51</th>\n",
- " <td>646.0</td>\n",
- " <td>691.0</td>\n",
- " <td>762.0</td>\n",
- " <td>724.0</td>\n",
- " <td>767.0</td>\n",
- " <td>882.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>52</th>\n",
- " <td>535.0</td>\n",
- " <td>558.0</td>\n",
- " <td>541.0</td>\n",
- " <td>461.0</td>\n",
- " <td>496.0</td>\n",
- " <td>825.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>53</th>\n",
- " <td>516.0</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>727.0</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- "year 2015 2016 2017 2018 2019 2020\n",
- "week \n",
- "1 725.0 809.0 744.0 783.0 718.0 787.0\n",
- "2 1031.0 711.0 825.0 904.0 809.0 939.0\n",
- "3 936.0 720.0 835.0 885.0 683.0 767.0\n",
- "4 828.0 717.0 881.0 850.0 734.0 723.0\n",
- "5 801.0 690.0 749.0 815.0 745.0 727.0\n",
- "6 720.0 700.0 723.0 801.0 701.0 690.0\n",
- "7 710.0 657.0 690.0 803.0 748.0 728.0\n",
- "8 739.0 696.0 701.0 789.0 695.0 679.0\n",
- "9 736.0 721.0 715.0 634.0 684.0 651.0\n",
- "10 712.0 734.0 634.0 896.0 622.0 652.0\n",
- "11 661.0 738.0 653.0 918.0 666.0 675.0\n",
- "12 680.0 668.0 635.0 774.0 628.0 719.0\n",
- "13 666.0 712.0 658.0 633.0 654.0 719.0\n",
- "14 580.0 742.0 642.0 730.0 642.0 920.0\n",
- "15 660.0 738.0 577.0 743.0 637.0 928.0\n",
- "16 671.0 714.0 654.0 688.0 580.0 1169.0\n",
- "17 662.0 629.0 727.0 614.0 678.0 1124.0\n",
- "18 628.0 569.0 600.0 633.0 688.0 929.0\n",
- "19 589.0 652.0 687.0 530.0 600.0 692.0\n",
- "20 622.0 611.0 615.0 667.0 658.0 772.0\n",
- "21 614.0 624.0 602.0 603.0 627.0 692.0\n",
- "22 588.0 500.0 586.0 538.0 518.0 587.0\n",
- "23 648.0 584.0 584.0 607.0 626.0 700.0\n",
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- "25 595.0 558.0 608.0 562.0 542.0 617.0\n",
- "26 597.0 549.0 546.0 599.0 564.0 552.0\n",
- "27 535.0 524.0 556.0 625.0 534.0 584.0\n",
- "28 554.0 599.0 564.0 583.0 588.0 572.0\n",
- "29 574.0 560.0 551.0 548.0 553.0 550.0\n",
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- "31 546.0 580.0 590.0 574.0 570.0 531.0\n",
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- "34 557.0 619.0 570.0 565.0 553.0 594.0\n",
- "35 603.0 470.0 555.0 511.0 558.0 591.0\n",
- "36 489.0 552.0 542.0 594.0 582.0 488.0\n",
- "37 554.0 576.0 609.0 579.0 567.0 578.0\n",
- "38 555.0 563.0 585.0 598.0 572.0 555.0\n",
- "39 664.0 592.0 593.0 560.0 611.0 617.0\n",
- "40 552.0 562.0 631.0 595.0 597.0 671.0\n",
- "41 652.0 587.0 640.0 606.0 590.0 638.0\n",
- "42 612.0 624.0 650.0 640.0 622.0 688.0\n",
- "43 607.0 624.0 608.0 633.0 670.0 661.0\n",
- "44 593.0 644.0 595.0 604.0 642.0 712.0\n",
- "45 606.0 626.0 598.0 642.0 653.0 832.0\n",
- "46 613.0 681.0 666.0 656.0 674.0 742.0\n",
- "47 611.0 661.0 639.0 657.0 699.0 848.0\n",
- "48 589.0 643.0 636.0 673.0 689.0 797.0\n",
- "49 659.0 693.0 630.0 674.0 737.0 836.0\n",
- "50 688.0 663.0 708.0 708.0 699.0 814.0\n",
- "51 646.0 691.0 762.0 724.0 767.0 882.0\n",
- "52 535.0 558.0 541.0 461.0 496.0 825.0\n",
- "53 516.0 NaN NaN NaN NaN 727.0"
- ]
- },
- "execution_count": 573,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "deaths_headlines_w = res.DataFrame().pivot(index='week', columns='year', values='deaths')\n",
- "deaths_headlines_w"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 574,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "314 rows affected.\n",
- "Returning data to local variable res\n"
- ]
- }
- ],
- "source": [
- "%%sql res << select week, year, deaths\n",
- "from all_causes_deaths\n",
- "where nation = 'Northern Ireland'"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 575,
- "metadata": {},
- "outputs": [
- {
- "data": {
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- " <tr style=\"text-align: right;\">\n",
- " <th>year</th>\n",
- " <th>2015</th>\n",
- " <th>2016</th>\n",
- " <th>2017</th>\n",
- " <th>2018</th>\n",
- " <th>2019</th>\n",
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- " <th></th>\n",
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- " <th>1</th>\n",
- " <td>319.0</td>\n",
- " <td>424.0</td>\n",
- " <td>416.0</td>\n",
- " <td>447.0</td>\n",
- " <td>365.0</td>\n",
- " <td>353.0</td>\n",
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- " <th>2</th>\n",
- " <td>373.0</td>\n",
- " <td>348.0</td>\n",
- " <td>434.0</td>\n",
- " <td>481.0</td>\n",
- " <td>371.0</td>\n",
- " <td>395.0</td>\n",
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- " <th>3</th>\n",
- " <td>383.0</td>\n",
- " <td>372.0</td>\n",
- " <td>397.0</td>\n",
- " <td>470.0</td>\n",
- " <td>332.0</td>\n",
- " <td>411.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>397.0</td>\n",
- " <td>355.0</td>\n",
- " <td>387.0</td>\n",
- " <td>426.0</td>\n",
- " <td>335.0</td>\n",
- " <td>347.0</td>\n",
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- " <tr>\n",
- " <th>5</th>\n",
- " <td>374.0</td>\n",
- " <td>314.0</td>\n",
- " <td>371.0</td>\n",
- " <td>433.0</td>\n",
- " <td>296.0</td>\n",
- " <td>323.0</td>\n",
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- " <tr>\n",
- " <th>6</th>\n",
- " <td>347.0</td>\n",
- " <td>310.0</td>\n",
- " <td>336.0</td>\n",
- " <td>351.0</td>\n",
- " <td>319.0</td>\n",
- " <td>332.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>7</th>\n",
- " <td>328.0</td>\n",
- " <td>217.0</td>\n",
- " <td>337.0</td>\n",
- " <td>364.0</td>\n",
- " <td>342.0</td>\n",
- " <td>306.0</td>\n",
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- " <th>8</th>\n",
- " <td>317.0</td>\n",
- " <td>423.0</td>\n",
- " <td>351.0</td>\n",
- " <td>366.0</td>\n",
- " <td>337.0</td>\n",
- " <td>297.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>9</th>\n",
- " <td>401.0</td>\n",
- " <td>298.0</td>\n",
- " <td>352.0</td>\n",
- " <td>314.0</td>\n",
- " <td>310.0</td>\n",
- " <td>347.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>10</th>\n",
- " <td>346.0</td>\n",
- " <td>309.0</td>\n",
- " <td>357.0</td>\n",
- " <td>387.0</td>\n",
- " <td>342.0</td>\n",
- " <td>312.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>11</th>\n",
- " <td>323.0</td>\n",
- " <td>292.0</td>\n",
- " <td>251.0</td>\n",
- " <td>359.0</td>\n",
- " <td>343.0</td>\n",
- " <td>324.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>12</th>\n",
- " <td>310.0</td>\n",
- " <td>306.0</td>\n",
- " <td>356.0</td>\n",
- " <td>326.0</td>\n",
- " <td>294.0</td>\n",
- " <td>271.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>13</th>\n",
- " <td>323.0</td>\n",
- " <td>280.0</td>\n",
- " <td>314.0</td>\n",
- " <td>319.0</td>\n",
- " <td>307.0</td>\n",
- " <td>287.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>14</th>\n",
- " <td>221.0</td>\n",
- " <td>295.0</td>\n",
- " <td>306.0</td>\n",
- " <td>286.0</td>\n",
- " <td>287.0</td>\n",
- " <td>434.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>15</th>\n",
- " <td>294.0</td>\n",
- " <td>292.0</td>\n",
- " <td>270.0</td>\n",
- " <td>350.0</td>\n",
- " <td>301.0</td>\n",
- " <td>435.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>16</th>\n",
- " <td>327.0</td>\n",
- " <td>293.0</td>\n",
- " <td>245.0</td>\n",
- " <td>280.0</td>\n",
- " <td>316.0</td>\n",
- " <td>424.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>17</th>\n",
- " <td>316.0</td>\n",
- " <td>306.0</td>\n",
- " <td>327.0</td>\n",
- " <td>282.0</td>\n",
- " <td>272.0</td>\n",
- " <td>470.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>18</th>\n",
- " <td>335.0</td>\n",
- " <td>258.0</td>\n",
- " <td>258.0</td>\n",
- " <td>292.0</td>\n",
- " <td>357.0</td>\n",
- " <td>427.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>19</th>\n",
- " <td>256.0</td>\n",
- " <td>318.0</td>\n",
- " <td>302.0</td>\n",
- " <td>230.0</td>\n",
- " <td>288.0</td>\n",
- " <td>336.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>20</th>\n",
- " <td>299.0</td>\n",
- " <td>259.0</td>\n",
- " <td>315.0</td>\n",
- " <td>268.0</td>\n",
- " <td>330.0</td>\n",
- " <td>396.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>21</th>\n",
- " <td>290.0</td>\n",
- " <td>280.0</td>\n",
- " <td>328.0</td>\n",
- " <td>268.0</td>\n",
- " <td>308.0</td>\n",
- " <td>325.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>22</th>\n",
- " <td>258.0</td>\n",
- " <td>284.0</td>\n",
- " <td>256.0</td>\n",
- " <td>252.0</td>\n",
- " <td>245.0</td>\n",
- " <td>316.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>23</th>\n",
- " <td>340.0</td>\n",
- " <td>275.0</td>\n",
- " <td>292.0</td>\n",
- " <td>276.0</td>\n",
- " <td>279.0</td>\n",
- " <td>304.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>24</th>\n",
- " <td>272.0</td>\n",
- " <td>299.0</td>\n",
- " <td>300.0</td>\n",
- " <td>277.0</td>\n",
- " <td>281.0</td>\n",
- " <td>292.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>25</th>\n",
- " <td>292.0</td>\n",
- " <td>252.0</td>\n",
- " <td>271.0</td>\n",
- " <td>265.0</td>\n",
- " <td>296.0</td>\n",
- " <td>290.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>26</th>\n",
- " <td>303.0</td>\n",
- " <td>291.0</td>\n",
- " <td>296.0</td>\n",
- " <td>271.0</td>\n",
- " <td>262.0</td>\n",
- " <td>295.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>27</th>\n",
- " <td>300.0</td>\n",
- " <td>286.0</td>\n",
- " <td>262.0</td>\n",
- " <td>266.0</td>\n",
- " <td>285.0</td>\n",
- " <td>289.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>28</th>\n",
- " <td>252.0</td>\n",
- " <td>237.0</td>\n",
- " <td>253.0</td>\n",
- " <td>172.0</td>\n",
- " <td>256.0</td>\n",
- " <td>275.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>29</th>\n",
- " <td>203.0</td>\n",
- " <td>281.0</td>\n",
- " <td>288.0</td>\n",
- " <td>298.0</td>\n",
- " <td>280.0</td>\n",
- " <td>240.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>30</th>\n",
- " <td>274.0</td>\n",
- " <td>298.0</td>\n",
- " <td>287.0</td>\n",
- " <td>282.0</td>\n",
- " <td>269.0</td>\n",
- " <td>307.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>31</th>\n",
- " <td>291.0</td>\n",
- " <td>264.0</td>\n",
- " <td>287.0</td>\n",
- " <td>278.0</td>\n",
- " <td>273.0</td>\n",
- " <td>273.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>32</th>\n",
- " <td>248.0</td>\n",
- " <td>270.0</td>\n",
- " <td>238.0</td>\n",
- " <td>270.0</td>\n",
- " <td>266.0</td>\n",
- " <td>280.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>33</th>\n",
- " <td>235.0</td>\n",
- " <td>260.0</td>\n",
- " <td>266.0</td>\n",
- " <td>283.0</td>\n",
- " <td>284.0</td>\n",
- " <td>278.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>34</th>\n",
- " <td>251.0</td>\n",
- " <td>301.0</td>\n",
- " <td>271.0</td>\n",
- " <td>280.0</td>\n",
- " <td>274.0</td>\n",
- " <td>313.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>35</th>\n",
- " <td>259.0</td>\n",
- " <td>264.0</td>\n",
- " <td>243.0</td>\n",
- " <td>251.0</td>\n",
- " <td>223.0</td>\n",
- " <td>303.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>36</th>\n",
- " <td>237.0</td>\n",
- " <td>275.0</td>\n",
- " <td>278.0</td>\n",
- " <td>265.0</td>\n",
- " <td>243.0</td>\n",
- " <td>234.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>37</th>\n",
- " <td>324.0</td>\n",
- " <td>294.0</td>\n",
- " <td>266.0</td>\n",
- " <td>285.0</td>\n",
- " <td>305.0</td>\n",
- " <td>296.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>38</th>\n",
- " <td>283.0</td>\n",
- " <td>272.0</td>\n",
- " <td>292.0</td>\n",
- " <td>247.0</td>\n",
- " <td>281.0</td>\n",
- " <td>322.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>39</th>\n",
- " <td>287.0</td>\n",
- " <td>275.0</td>\n",
- " <td>282.0</td>\n",
- " <td>298.0</td>\n",
- " <td>295.0</td>\n",
- " <td>323.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>40</th>\n",
- " <td>282.0</td>\n",
- " <td>308.0</td>\n",
- " <td>307.0</td>\n",
- " <td>324.0</td>\n",
- " <td>263.0</td>\n",
- " <td>328.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>41</th>\n",
- " <td>304.0</td>\n",
- " <td>288.0</td>\n",
- " <td>284.0</td>\n",
- " <td>318.0</td>\n",
- " <td>287.0</td>\n",
- " <td>348.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>42</th>\n",
- " <td>299.0</td>\n",
- " <td>296.0</td>\n",
- " <td>291.0</td>\n",
- " <td>282.0</td>\n",
- " <td>316.0</td>\n",
- " <td>278.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>43</th>\n",
- " <td>274.0</td>\n",
- " <td>272.0</td>\n",
- " <td>318.0</td>\n",
- " <td>263.0</td>\n",
- " <td>279.0</td>\n",
- " <td>391.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>44</th>\n",
- " <td>292.0</td>\n",
- " <td>279.0</td>\n",
- " <td>320.0</td>\n",
- " <td>252.0</td>\n",
- " <td>302.0</td>\n",
- " <td>368.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>45</th>\n",
- " <td>290.0</td>\n",
- " <td>290.0</td>\n",
- " <td>295.0</td>\n",
- " <td>293.0</td>\n",
- " <td>296.0</td>\n",
- " <td>386.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>46</th>\n",
- " <td>297.0</td>\n",
- " <td>341.0</td>\n",
- " <td>323.0</td>\n",
- " <td>275.0</td>\n",
- " <td>336.0</td>\n",
- " <td>406.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>47</th>\n",
- " <td>294.0</td>\n",
- " <td>329.0</td>\n",
- " <td>303.0</td>\n",
- " <td>274.0</td>\n",
- " <td>361.0</td>\n",
- " <td>396.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>48</th>\n",
- " <td>279.0</td>\n",
- " <td>303.0</td>\n",
- " <td>355.0</td>\n",
- " <td>297.0</td>\n",
- " <td>334.0</td>\n",
- " <td>348.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>49</th>\n",
- " <td>294.0</td>\n",
- " <td>322.0</td>\n",
- " <td>324.0</td>\n",
- " <td>324.0</td>\n",
- " <td>351.0</td>\n",
- " <td>387.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>50</th>\n",
- " <td>343.0</td>\n",
- " <td>324.0</td>\n",
- " <td>372.0</td>\n",
- " <td>316.0</td>\n",
- " <td>353.0</td>\n",
- " <td>366.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>51</th>\n",
- " <td>301.0</td>\n",
- " <td>360.0</td>\n",
- " <td>354.0</td>\n",
- " <td>317.0</td>\n",
- " <td>363.0</td>\n",
- " <td>350.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>52</th>\n",
- " <td>232.0</td>\n",
- " <td>199.0</td>\n",
- " <td>249.0</td>\n",
- " <td>195.0</td>\n",
- " <td>194.0</td>\n",
- " <td>310.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>53</th>\n",
- " <td>232.0</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>333.0</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- "year 2015 2016 2017 2018 2019 2020\n",
- "week \n",
- "1 319.0 424.0 416.0 447.0 365.0 353.0\n",
- "2 373.0 348.0 434.0 481.0 371.0 395.0\n",
- "3 383.0 372.0 397.0 470.0 332.0 411.0\n",
- "4 397.0 355.0 387.0 426.0 335.0 347.0\n",
- "5 374.0 314.0 371.0 433.0 296.0 323.0\n",
- "6 347.0 310.0 336.0 351.0 319.0 332.0\n",
- "7 328.0 217.0 337.0 364.0 342.0 306.0\n",
- "8 317.0 423.0 351.0 366.0 337.0 297.0\n",
- "9 401.0 298.0 352.0 314.0 310.0 347.0\n",
- "10 346.0 309.0 357.0 387.0 342.0 312.0\n",
- "11 323.0 292.0 251.0 359.0 343.0 324.0\n",
- "12 310.0 306.0 356.0 326.0 294.0 271.0\n",
- "13 323.0 280.0 314.0 319.0 307.0 287.0\n",
- "14 221.0 295.0 306.0 286.0 287.0 434.0\n",
- "15 294.0 292.0 270.0 350.0 301.0 435.0\n",
- "16 327.0 293.0 245.0 280.0 316.0 424.0\n",
- "17 316.0 306.0 327.0 282.0 272.0 470.0\n",
- "18 335.0 258.0 258.0 292.0 357.0 427.0\n",
- "19 256.0 318.0 302.0 230.0 288.0 336.0\n",
- "20 299.0 259.0 315.0 268.0 330.0 396.0\n",
- "21 290.0 280.0 328.0 268.0 308.0 325.0\n",
- "22 258.0 284.0 256.0 252.0 245.0 316.0\n",
- "23 340.0 275.0 292.0 276.0 279.0 304.0\n",
- "24 272.0 299.0 300.0 277.0 281.0 292.0\n",
- "25 292.0 252.0 271.0 265.0 296.0 290.0\n",
- "26 303.0 291.0 296.0 271.0 262.0 295.0\n",
- "27 300.0 286.0 262.0 266.0 285.0 289.0\n",
- "28 252.0 237.0 253.0 172.0 256.0 275.0\n",
- "29 203.0 281.0 288.0 298.0 280.0 240.0\n",
- "30 274.0 298.0 287.0 282.0 269.0 307.0\n",
- "31 291.0 264.0 287.0 278.0 273.0 273.0\n",
- "32 248.0 270.0 238.0 270.0 266.0 280.0\n",
- "33 235.0 260.0 266.0 283.0 284.0 278.0\n",
- "34 251.0 301.0 271.0 280.0 274.0 313.0\n",
- "35 259.0 264.0 243.0 251.0 223.0 303.0\n",
- "36 237.0 275.0 278.0 265.0 243.0 234.0\n",
- "37 324.0 294.0 266.0 285.0 305.0 296.0\n",
- "38 283.0 272.0 292.0 247.0 281.0 322.0\n",
- "39 287.0 275.0 282.0 298.0 295.0 323.0\n",
- "40 282.0 308.0 307.0 324.0 263.0 328.0\n",
- "41 304.0 288.0 284.0 318.0 287.0 348.0\n",
- "42 299.0 296.0 291.0 282.0 316.0 278.0\n",
- "43 274.0 272.0 318.0 263.0 279.0 391.0\n",
- "44 292.0 279.0 320.0 252.0 302.0 368.0\n",
- "45 290.0 290.0 295.0 293.0 296.0 386.0\n",
- "46 297.0 341.0 323.0 275.0 336.0 406.0\n",
- "47 294.0 329.0 303.0 274.0 361.0 396.0\n",
- "48 279.0 303.0 355.0 297.0 334.0 348.0\n",
- "49 294.0 322.0 324.0 324.0 351.0 387.0\n",
- "50 343.0 324.0 372.0 316.0 353.0 366.0\n",
- "51 301.0 360.0 354.0 317.0 363.0 350.0\n",
- "52 232.0 199.0 249.0 195.0 194.0 310.0\n",
- "53 232.0 NaN NaN NaN NaN 333.0"
- ]
- },
- "execution_count": 575,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "deaths_headlines_i = res.DataFrame().pivot(index='week', columns='year', values='deaths')\n",
- "deaths_headlines_i"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 579,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/html": [
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- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th>year</th>\n",
- " <th>2015</th>\n",
- " <th>2016</th>\n",
- " <th>2017</th>\n",
- " <th>2018</th>\n",
- " <th>2019</th>\n",
- " <th>2020</th>\n",
- " <th>previous_mean</th>\n",
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- " <tr>\n",
- " <th>week</th>\n",
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- " <th></th>\n",
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- " <th></th>\n",
- " <th></th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>13751.0</td>\n",
- " <td>14863.0</td>\n",
- " <td>13612.0</td>\n",
- " <td>14701.0</td>\n",
- " <td>12424.0</td>\n",
- " <td>13768.0</td>\n",
- " <td>13870.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>18318.0</td>\n",
- " <td>13154.0</td>\n",
- " <td>15528.0</td>\n",
- " <td>17430.0</td>\n",
- " <td>14487.0</td>\n",
- " <td>16020.0</td>\n",
- " <td>15783.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>16738.0</td>\n",
- " <td>13060.0</td>\n",
- " <td>15231.0</td>\n",
- " <td>16355.0</td>\n",
- " <td>13545.0</td>\n",
- " <td>14723.0</td>\n",
- " <td>14985.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>15712.0</td>\n",
- " <td>12859.0</td>\n",
- " <td>14461.0</td>\n",
- " <td>15971.0</td>\n",
- " <td>13283.0</td>\n",
- " <td>13429.0</td>\n",
- " <td>14457.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>5</th>\n",
- " <td>14560.0</td>\n",
- " <td>12571.0</td>\n",
- " <td>14188.0</td>\n",
- " <td>15087.0</td>\n",
- " <td>12799.0</td>\n",
- " <td>13123.0</td>\n",
- " <td>13841.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>6</th>\n",
- " <td>13730.0</td>\n",
- " <td>12697.0</td>\n",
- " <td>13805.0</td>\n",
- " <td>14111.0</td>\n",
- " <td>13222.0</td>\n",
- " <td>12534.0</td>\n",
- " <td>13513.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>7</th>\n",
- " <td>13510.0</td>\n",
- " <td>12016.0</td>\n",
- " <td>13212.0</td>\n",
- " <td>13925.0</td>\n",
- " <td>13347.0</td>\n",
- " <td>12412.0</td>\n",
- " <td>13202.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>8</th>\n",
- " <td>13071.0</td>\n",
- " <td>12718.0</td>\n",
- " <td>13330.0</td>\n",
- " <td>13753.0</td>\n",
- " <td>12877.0</td>\n",
- " <td>12300.0</td>\n",
- " <td>13149.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>9</th>\n",
- " <td>13181.0</td>\n",
- " <td>12733.0</td>\n",
- " <td>12819.0</td>\n",
- " <td>12190.0</td>\n",
- " <td>12479.0</td>\n",
- " <td>12334.0</td>\n",
- " <td>12680.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>10</th>\n",
- " <td>13007.0</td>\n",
- " <td>12493.0</td>\n",
- " <td>12580.0</td>\n",
- " <td>14859.0</td>\n",
- " <td>12396.0</td>\n",
- " <td>12415.0</td>\n",
- " <td>13067.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>11</th>\n",
- " <td>12475.0</td>\n",
- " <td>12489.0</td>\n",
- " <td>12089.0</td>\n",
- " <td>14367.0</td>\n",
- " <td>12018.0</td>\n",
- " <td>12499.0</td>\n",
- " <td>12687.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>12</th>\n",
- " <td>12027.0</td>\n",
- " <td>10983.0</td>\n",
- " <td>11833.0</td>\n",
- " <td>13397.0</td>\n",
- " <td>11797.0</td>\n",
- " <td>12112.0</td>\n",
- " <td>12007.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>13</th>\n",
- " <td>11987.0</td>\n",
- " <td>11738.0</td>\n",
- " <td>11453.0</td>\n",
- " <td>11310.0</td>\n",
- " <td>11260.0</td>\n",
- " <td>12507.0</td>\n",
- " <td>11549.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>14</th>\n",
- " <td>10325.0</td>\n",
- " <td>13060.0</td>\n",
- " <td>11305.0</td>\n",
- " <td>12272.0</td>\n",
- " <td>11445.0</td>\n",
- " <td>18565.0</td>\n",
- " <td>11681.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>15</th>\n",
- " <td>11575.0</td>\n",
- " <td>12757.0</td>\n",
- " <td>9761.0</td>\n",
- " <td>13843.0</td>\n",
- " <td>11661.0</td>\n",
- " <td>20929.0</td>\n",
- " <td>11919.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>16</th>\n",
- " <td>13061.0</td>\n",
- " <td>12310.0</td>\n",
- " <td>11000.0</td>\n",
- " <td>12639.0</td>\n",
- " <td>10243.0</td>\n",
- " <td>24691.0</td>\n",
- " <td>11850.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>17</th>\n",
- " <td>12023.0</td>\n",
- " <td>11795.0</td>\n",
- " <td>12356.0</td>\n",
- " <td>11596.0</td>\n",
- " <td>11452.0</td>\n",
- " <td>24303.0</td>\n",
- " <td>11844.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>18</th>\n",
- " <td>11586.0</td>\n",
- " <td>10401.0</td>\n",
- " <td>10372.0</td>\n",
- " <td>11538.0</td>\n",
- " <td>12695.0</td>\n",
- " <td>20059.0</td>\n",
- " <td>11318.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>19</th>\n",
- " <td>10138.0</td>\n",
- " <td>12002.0</td>\n",
- " <td>12114.0</td>\n",
- " <td>9821.0</td>\n",
- " <td>10361.0</td>\n",
- " <td>14428.0</td>\n",
- " <td>10887.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>20</th>\n",
- " <td>11692.0</td>\n",
- " <td>11222.0</td>\n",
- " <td>11718.0</td>\n",
- " <td>11386.0</td>\n",
- " <td>11717.0</td>\n",
- " <td>16390.0</td>\n",
- " <td>11547.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>21</th>\n",
- " <td>11334.0</td>\n",
- " <td>11013.0</td>\n",
- " <td>11431.0</td>\n",
- " <td>10974.0</td>\n",
- " <td>11653.0</td>\n",
- " <td>13839.0</td>\n",
- " <td>11281.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>22</th>\n",
- " <td>9514.0</td>\n",
- " <td>9192.0</td>\n",
- " <td>9603.0</td>\n",
- " <td>9397.0</td>\n",
- " <td>9534.0</td>\n",
- " <td>11265.0</td>\n",
- " <td>9448.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>23</th>\n",
- " <td>11603.0</td>\n",
- " <td>11171.0</td>\n",
- " <td>11134.0</td>\n",
- " <td>11259.0</td>\n",
- " <td>11461.0</td>\n",
- " <td>12106.0</td>\n",
- " <td>11325.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>24</th>\n",
- " <td>10858.0</td>\n",
- " <td>10673.0</td>\n",
- " <td>10698.0</td>\n",
- " <td>10535.0</td>\n",
- " <td>10754.0</td>\n",
- " <td>11302.0</td>\n",
- " <td>10703.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>25</th>\n",
- " <td>10629.0</td>\n",
- " <td>10611.0</td>\n",
- " <td>10930.0</td>\n",
- " <td>10514.0</td>\n",
- " <td>10807.0</td>\n",
- " <td>10694.0</td>\n",
- " <td>10698.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>26</th>\n",
- " <td>10525.0</td>\n",
- " <td>10526.0</td>\n",
- " <td>10624.0</td>\n",
- " <td>10529.0</td>\n",
- " <td>10824.0</td>\n",
- " <td>10282.0</td>\n",
- " <td>10605.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>27</th>\n",
- " <td>10545.0</td>\n",
- " <td>10412.0</td>\n",
- " <td>10565.0</td>\n",
- " <td>10565.0</td>\n",
- " <td>10328.0</td>\n",
- " <td>10412.0</td>\n",
- " <td>10483.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>28</th>\n",
- " <td>10278.0</td>\n",
- " <td>10647.0</td>\n",
- " <td>10643.0</td>\n",
- " <td>10467.0</td>\n",
- " <td>10512.0</td>\n",
- " <td>9941.0</td>\n",
- " <td>10509.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>29</th>\n",
- " <td>10028.0</td>\n",
- " <td>10672.0</td>\n",
- " <td>10426.0</td>\n",
- " <td>10353.0</td>\n",
- " <td>10324.0</td>\n",
- " <td>10096.0</td>\n",
- " <td>10360.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>30</th>\n",
- " <td>10021.0</td>\n",
- " <td>10612.0</td>\n",
- " <td>10147.0</td>\n",
- " <td>10356.0</td>\n",
- " <td>10422.0</td>\n",
- " <td>10159.0</td>\n",
- " <td>10311.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>31</th>\n",
- " <td>9893.0</td>\n",
- " <td>10433.0</td>\n",
- " <td>10239.0</td>\n",
- " <td>10408.0</td>\n",
- " <td>10564.0</td>\n",
- " <td>10262.0</td>\n",
- " <td>10307.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>32</th>\n",
- " <td>10153.0</td>\n",
- " <td>10439.0</td>\n",
- " <td>10278.0</td>\n",
- " <td>10542.0</td>\n",
- " <td>10406.0</td>\n",
- " <td>10236.0</td>\n",
- " <td>10363.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>33</th>\n",
- " <td>10352.0</td>\n",
- " <td>10312.0</td>\n",
- " <td>10569.0</td>\n",
- " <td>10091.0</td>\n",
- " <td>10405.0</td>\n",
- " <td>10592.0</td>\n",
- " <td>10345.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>34</th>\n",
- " <td>10354.0</td>\n",
- " <td>10637.0</td>\n",
- " <td>10698.0</td>\n",
- " <td>10199.0</td>\n",
- " <td>10279.0</td>\n",
- " <td>10990.0</td>\n",
- " <td>10433.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>35</th>\n",
- " <td>10239.0</td>\n",
- " <td>9226.0</td>\n",
- " <td>9372.0</td>\n",
- " <td>9046.0</td>\n",
- " <td>9478.0</td>\n",
- " <td>10364.0</td>\n",
- " <td>9472.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>36</th>\n",
- " <td>9092.0</td>\n",
- " <td>10681.0</td>\n",
- " <td>10781.0</td>\n",
- " <td>10680.0</td>\n",
- " <td>10918.0</td>\n",
- " <td>9023.0</td>\n",
- " <td>10430.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>37</th>\n",
- " <td>10573.0</td>\n",
- " <td>10401.0</td>\n",
- " <td>10692.0</td>\n",
- " <td>10496.0</td>\n",
- " <td>10892.0</td>\n",
- " <td>11176.0</td>\n",
- " <td>10610.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>38</th>\n",
- " <td>10381.0</td>\n",
- " <td>10183.0</td>\n",
- " <td>10875.0</td>\n",
- " <td>10498.0</td>\n",
- " <td>10792.0</td>\n",
- " <td>10797.0</td>\n",
- " <td>10545.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>39</th>\n",
- " <td>10826.0</td>\n",
- " <td>10278.0</td>\n",
- " <td>11027.0</td>\n",
- " <td>10463.0</td>\n",
- " <td>10954.0</td>\n",
- " <td>10890.0</td>\n",
- " <td>10709.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>40</th>\n",
- " <td>10700.0</td>\n",
- " <td>10671.0</td>\n",
- " <td>11101.0</td>\n",
- " <td>10869.0</td>\n",
- " <td>11113.0</td>\n",
- " <td>11468.0</td>\n",
- " <td>10890.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>41</th>\n",
- " <td>11108.0</td>\n",
- " <td>11016.0</td>\n",
- " <td>11357.0</td>\n",
- " <td>11048.0</td>\n",
- " <td>11403.0</td>\n",
- " <td>11373.0</td>\n",
- " <td>11186.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>42</th>\n",
- " <td>10799.0</td>\n",
- " <td>11134.0</td>\n",
- " <td>11389.0</td>\n",
- " <td>11177.0</td>\n",
- " <td>11625.0</td>\n",
- " <td>11943.0</td>\n",
- " <td>11224.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>43</th>\n",
- " <td>10966.0</td>\n",
- " <td>11048.0</td>\n",
- " <td>11152.0</td>\n",
- " <td>10885.0</td>\n",
- " <td>11415.0</td>\n",
- " <td>12317.0</td>\n",
- " <td>11093.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>44</th>\n",
- " <td>11026.0</td>\n",
- " <td>11463.0</td>\n",
- " <td>11366.0</td>\n",
- " <td>10866.0</td>\n",
- " <td>11567.0</td>\n",
- " <td>12517.0</td>\n",
- " <td>11257.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>45</th>\n",
- " <td>11312.0</td>\n",
- " <td>11803.0</td>\n",
- " <td>11767.0</td>\n",
- " <td>11588.0</td>\n",
- " <td>12177.0</td>\n",
- " <td>13448.0</td>\n",
- " <td>11729.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>46</th>\n",
- " <td>11338.0</td>\n",
- " <td>12209.0</td>\n",
- " <td>11773.0</td>\n",
- " <td>11552.0</td>\n",
- " <td>12146.0</td>\n",
- " <td>13798.0</td>\n",
- " <td>11803.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>47</th>\n",
- " <td>11178.0</td>\n",
- " <td>12064.0</td>\n",
- " <td>12102.0</td>\n",
- " <td>11289.0</td>\n",
- " <td>12472.0</td>\n",
- " <td>14291.0</td>\n",
- " <td>11821.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>48</th>\n",
- " <td>11216.0</td>\n",
- " <td>11901.0</td>\n",
- " <td>12046.0</td>\n",
- " <td>11392.0</td>\n",
- " <td>12455.0</td>\n",
- " <td>14132.0</td>\n",
- " <td>11802.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>49</th>\n",
- " <td>11748.0</td>\n",
- " <td>12733.0</td>\n",
- " <td>12342.0</td>\n",
- " <td>11687.0</td>\n",
- " <td>12275.0</td>\n",
- " <td>13986.0</td>\n",
- " <td>12157.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>50</th>\n",
- " <td>11713.0</td>\n",
- " <td>12076.0</td>\n",
- " <td>12924.0</td>\n",
- " <td>12078.0</td>\n",
- " <td>12853.0</td>\n",
- " <td>13942.0</td>\n",
- " <td>12328.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>51</th>\n",
- " <td>12136.0</td>\n",
- " <td>13137.0</td>\n",
- " <td>14308.0</td>\n",
- " <td>12649.0</td>\n",
- " <td>13566.0</td>\n",
- " <td>14658.0</td>\n",
- " <td>13159.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>52</th>\n",
- " <td>9806.0</td>\n",
- " <td>9335.0</td>\n",
- " <td>9904.0</td>\n",
- " <td>8384.0</td>\n",
- " <td>8727.0</td>\n",
- " <td>13035.0</td>\n",
- " <td>9231.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>53</th>\n",
- " <td>8774.0</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>11580.0</td>\n",
- " <td>8774.0</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- "year 2015 2016 2017 2018 2019 2020 previous_mean\n",
- "week \n",
- "1 13751.0 14863.0 13612.0 14701.0 12424.0 13768.0 13870.2\n",
- "2 18318.0 13154.0 15528.0 17430.0 14487.0 16020.0 15783.4\n",
- "3 16738.0 13060.0 15231.0 16355.0 13545.0 14723.0 14985.8\n",
- "4 15712.0 12859.0 14461.0 15971.0 13283.0 13429.0 14457.2\n",
- "5 14560.0 12571.0 14188.0 15087.0 12799.0 13123.0 13841.0\n",
- "6 13730.0 12697.0 13805.0 14111.0 13222.0 12534.0 13513.0\n",
- "7 13510.0 12016.0 13212.0 13925.0 13347.0 12412.0 13202.0\n",
- "8 13071.0 12718.0 13330.0 13753.0 12877.0 12300.0 13149.8\n",
- "9 13181.0 12733.0 12819.0 12190.0 12479.0 12334.0 12680.4\n",
- "10 13007.0 12493.0 12580.0 14859.0 12396.0 12415.0 13067.0\n",
- "11 12475.0 12489.0 12089.0 14367.0 12018.0 12499.0 12687.6\n",
- "12 12027.0 10983.0 11833.0 13397.0 11797.0 12112.0 12007.4\n",
- "13 11987.0 11738.0 11453.0 11310.0 11260.0 12507.0 11549.6\n",
- "14 10325.0 13060.0 11305.0 12272.0 11445.0 18565.0 11681.4\n",
- "15 11575.0 12757.0 9761.0 13843.0 11661.0 20929.0 11919.4\n",
- "16 13061.0 12310.0 11000.0 12639.0 10243.0 24691.0 11850.6\n",
- "17 12023.0 11795.0 12356.0 11596.0 11452.0 24303.0 11844.4\n",
- "18 11586.0 10401.0 10372.0 11538.0 12695.0 20059.0 11318.4\n",
- "19 10138.0 12002.0 12114.0 9821.0 10361.0 14428.0 10887.2\n",
- "20 11692.0 11222.0 11718.0 11386.0 11717.0 16390.0 11547.0\n",
- "21 11334.0 11013.0 11431.0 10974.0 11653.0 13839.0 11281.0\n",
- "22 9514.0 9192.0 9603.0 9397.0 9534.0 11265.0 9448.0\n",
- "23 11603.0 11171.0 11134.0 11259.0 11461.0 12106.0 11325.6\n",
- "24 10858.0 10673.0 10698.0 10535.0 10754.0 11302.0 10703.6\n",
- "25 10629.0 10611.0 10930.0 10514.0 10807.0 10694.0 10698.2\n",
- "26 10525.0 10526.0 10624.0 10529.0 10824.0 10282.0 10605.6\n",
- "27 10545.0 10412.0 10565.0 10565.0 10328.0 10412.0 10483.0\n",
- "28 10278.0 10647.0 10643.0 10467.0 10512.0 9941.0 10509.4\n",
- "29 10028.0 10672.0 10426.0 10353.0 10324.0 10096.0 10360.6\n",
- "30 10021.0 10612.0 10147.0 10356.0 10422.0 10159.0 10311.6\n",
- "31 9893.0 10433.0 10239.0 10408.0 10564.0 10262.0 10307.4\n",
- "32 10153.0 10439.0 10278.0 10542.0 10406.0 10236.0 10363.6\n",
- "33 10352.0 10312.0 10569.0 10091.0 10405.0 10592.0 10345.8\n",
- "34 10354.0 10637.0 10698.0 10199.0 10279.0 10990.0 10433.4\n",
- "35 10239.0 9226.0 9372.0 9046.0 9478.0 10364.0 9472.2\n",
- "36 9092.0 10681.0 10781.0 10680.0 10918.0 9023.0 10430.4\n",
- "37 10573.0 10401.0 10692.0 10496.0 10892.0 11176.0 10610.8\n",
- "38 10381.0 10183.0 10875.0 10498.0 10792.0 10797.0 10545.8\n",
- "39 10826.0 10278.0 11027.0 10463.0 10954.0 10890.0 10709.6\n",
- "40 10700.0 10671.0 11101.0 10869.0 11113.0 11468.0 10890.8\n",
- "41 11108.0 11016.0 11357.0 11048.0 11403.0 11373.0 11186.4\n",
- "42 10799.0 11134.0 11389.0 11177.0 11625.0 11943.0 11224.8\n",
- "43 10966.0 11048.0 11152.0 10885.0 11415.0 12317.0 11093.2\n",
- "44 11026.0 11463.0 11366.0 10866.0 11567.0 12517.0 11257.6\n",
- "45 11312.0 11803.0 11767.0 11588.0 12177.0 13448.0 11729.4\n",
- "46 11338.0 12209.0 11773.0 11552.0 12146.0 13798.0 11803.6\n",
- "47 11178.0 12064.0 12102.0 11289.0 12472.0 14291.0 11821.0\n",
- "48 11216.0 11901.0 12046.0 11392.0 12455.0 14132.0 11802.0\n",
- "49 11748.0 12733.0 12342.0 11687.0 12275.0 13986.0 12157.0\n",
- "50 11713.0 12076.0 12924.0 12078.0 12853.0 13942.0 12328.8\n",
- "51 12136.0 13137.0 14308.0 12649.0 13566.0 14658.0 13159.2\n",
- "52 9806.0 9335.0 9904.0 8384.0 8727.0 13035.0 9231.2\n",
- "53 8774.0 NaN NaN NaN NaN 11580.0 8774.0"
- ]
- },
- "execution_count": 579,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "deaths_headlines = deaths_headlines_e + deaths_headlines_w + deaths_headlines_i + deaths_headlines_s\n",
- "deaths_headlines"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 577,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "Int64Index([2015, 2016, 2017, 2018, 2019, 2020], dtype='int64', name='year')"
- ]
- },
- "execution_count": 577,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "deaths_headlines_e.columns"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 578,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
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- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th>year</th>\n",
- " <th>2015</th>\n",
- " <th>2016</th>\n",
- " <th>2017</th>\n",
- " <th>2018</th>\n",
- " <th>2019</th>\n",
- " <th>2020</th>\n",
- " <th>previous_mean</th>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>week</th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>13751.0</td>\n",
- " <td>14863.0</td>\n",
- " <td>13612.0</td>\n",
- " <td>14701.0</td>\n",
- " <td>12424.0</td>\n",
- " <td>13768.0</td>\n",
- " <td>13870.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>18318.0</td>\n",
- " <td>13154.0</td>\n",
- " <td>15528.0</td>\n",
- " <td>17430.0</td>\n",
- " <td>14487.0</td>\n",
- " <td>16020.0</td>\n",
- " <td>15783.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>16738.0</td>\n",
- " <td>13060.0</td>\n",
- " <td>15231.0</td>\n",
- " <td>16355.0</td>\n",
- " <td>13545.0</td>\n",
- " <td>14723.0</td>\n",
- " <td>14985.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>15712.0</td>\n",
- " <td>12859.0</td>\n",
- " <td>14461.0</td>\n",
- " <td>15971.0</td>\n",
- " <td>13283.0</td>\n",
- " <td>13429.0</td>\n",
- " <td>14457.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>5</th>\n",
- " <td>14560.0</td>\n",
- " <td>12571.0</td>\n",
- " <td>14188.0</td>\n",
- " <td>15087.0</td>\n",
- " <td>12799.0</td>\n",
- " <td>13123.0</td>\n",
- " <td>13841.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>6</th>\n",
- " <td>13730.0</td>\n",
- " <td>12697.0</td>\n",
- " <td>13805.0</td>\n",
- " <td>14111.0</td>\n",
- " <td>13222.0</td>\n",
- " <td>12534.0</td>\n",
- " <td>13513.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>7</th>\n",
- " <td>13510.0</td>\n",
- " <td>12016.0</td>\n",
- " <td>13212.0</td>\n",
- " <td>13925.0</td>\n",
- " <td>13347.0</td>\n",
- " <td>12412.0</td>\n",
- " <td>13202.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>8</th>\n",
- " <td>13071.0</td>\n",
- " <td>12718.0</td>\n",
- " <td>13330.0</td>\n",
- " <td>13753.0</td>\n",
- " <td>12877.0</td>\n",
- " <td>12300.0</td>\n",
- " <td>13149.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>9</th>\n",
- " <td>13181.0</td>\n",
- " <td>12733.0</td>\n",
- " <td>12819.0</td>\n",
- " <td>12190.0</td>\n",
- " <td>12479.0</td>\n",
- " <td>12334.0</td>\n",
- " <td>12680.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>10</th>\n",
- " <td>13007.0</td>\n",
- " <td>12493.0</td>\n",
- " <td>12580.0</td>\n",
- " <td>14859.0</td>\n",
- " <td>12396.0</td>\n",
- " <td>12415.0</td>\n",
- " <td>13067.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>11</th>\n",
- " <td>12475.0</td>\n",
- " <td>12489.0</td>\n",
- " <td>12089.0</td>\n",
- " <td>14367.0</td>\n",
- " <td>12018.0</td>\n",
- " <td>12499.0</td>\n",
- " <td>12687.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>12</th>\n",
- " <td>12027.0</td>\n",
- " <td>10983.0</td>\n",
- " <td>11833.0</td>\n",
- " <td>13397.0</td>\n",
- " <td>11797.0</td>\n",
- " <td>12112.0</td>\n",
- " <td>12007.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>13</th>\n",
- " <td>11987.0</td>\n",
- " <td>11738.0</td>\n",
- " <td>11453.0</td>\n",
- " <td>11310.0</td>\n",
- " <td>11260.0</td>\n",
- " <td>12507.0</td>\n",
- " <td>11549.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>14</th>\n",
- " <td>10325.0</td>\n",
- " <td>13060.0</td>\n",
- " <td>11305.0</td>\n",
- " <td>12272.0</td>\n",
- " <td>11445.0</td>\n",
- " <td>18565.0</td>\n",
- " <td>11681.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>15</th>\n",
- " <td>11575.0</td>\n",
- " <td>12757.0</td>\n",
- " <td>9761.0</td>\n",
- " <td>13843.0</td>\n",
- " <td>11661.0</td>\n",
- " <td>20929.0</td>\n",
- " <td>11919.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>16</th>\n",
- " <td>13061.0</td>\n",
- " <td>12310.0</td>\n",
- " <td>11000.0</td>\n",
- " <td>12639.0</td>\n",
- " <td>10243.0</td>\n",
- " <td>24691.0</td>\n",
- " <td>11850.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>17</th>\n",
- " <td>12023.0</td>\n",
- " <td>11795.0</td>\n",
- " <td>12356.0</td>\n",
- " <td>11596.0</td>\n",
- " <td>11452.0</td>\n",
- " <td>24303.0</td>\n",
- " <td>11844.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>18</th>\n",
- " <td>11586.0</td>\n",
- " <td>10401.0</td>\n",
- " <td>10372.0</td>\n",
- " <td>11538.0</td>\n",
- " <td>12695.0</td>\n",
- " <td>20059.0</td>\n",
- " <td>11318.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>19</th>\n",
- " <td>10138.0</td>\n",
- " <td>12002.0</td>\n",
- " <td>12114.0</td>\n",
- " <td>9821.0</td>\n",
- " <td>10361.0</td>\n",
- " <td>14428.0</td>\n",
- " <td>10887.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>20</th>\n",
- " <td>11692.0</td>\n",
- " <td>11222.0</td>\n",
- " <td>11718.0</td>\n",
- " <td>11386.0</td>\n",
- " <td>11717.0</td>\n",
- " <td>16390.0</td>\n",
- " <td>11547.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>21</th>\n",
- " <td>11334.0</td>\n",
- " <td>11013.0</td>\n",
- " <td>11431.0</td>\n",
- " <td>10974.0</td>\n",
- " <td>11653.0</td>\n",
- " <td>13839.0</td>\n",
- " <td>11281.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>22</th>\n",
- " <td>9514.0</td>\n",
- " <td>9192.0</td>\n",
- " <td>9603.0</td>\n",
- " <td>9397.0</td>\n",
- " <td>9534.0</td>\n",
- " <td>11265.0</td>\n",
- " <td>9448.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>23</th>\n",
- " <td>11603.0</td>\n",
- " <td>11171.0</td>\n",
- " <td>11134.0</td>\n",
- " <td>11259.0</td>\n",
- " <td>11461.0</td>\n",
- " <td>12106.0</td>\n",
- " <td>11325.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>24</th>\n",
- " <td>10858.0</td>\n",
- " <td>10673.0</td>\n",
- " <td>10698.0</td>\n",
- " <td>10535.0</td>\n",
- " <td>10754.0</td>\n",
- " <td>11302.0</td>\n",
- " <td>10703.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>25</th>\n",
- " <td>10629.0</td>\n",
- " <td>10611.0</td>\n",
- " <td>10930.0</td>\n",
- " <td>10514.0</td>\n",
- " <td>10807.0</td>\n",
- " <td>10694.0</td>\n",
- " <td>10698.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>26</th>\n",
- " <td>10525.0</td>\n",
- " <td>10526.0</td>\n",
- " <td>10624.0</td>\n",
- " <td>10529.0</td>\n",
- " <td>10824.0</td>\n",
- " <td>10282.0</td>\n",
- " <td>10605.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>27</th>\n",
- " <td>10545.0</td>\n",
- " <td>10412.0</td>\n",
- " <td>10565.0</td>\n",
- " <td>10565.0</td>\n",
- " <td>10328.0</td>\n",
- " <td>10412.0</td>\n",
- " <td>10483.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>28</th>\n",
- " <td>10278.0</td>\n",
- " <td>10647.0</td>\n",
- " <td>10643.0</td>\n",
- " <td>10467.0</td>\n",
- " <td>10512.0</td>\n",
- " <td>9941.0</td>\n",
- " <td>10509.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>29</th>\n",
- " <td>10028.0</td>\n",
- " <td>10672.0</td>\n",
- " <td>10426.0</td>\n",
- " <td>10353.0</td>\n",
- " <td>10324.0</td>\n",
- " <td>10096.0</td>\n",
- " <td>10360.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>30</th>\n",
- " <td>10021.0</td>\n",
- " <td>10612.0</td>\n",
- " <td>10147.0</td>\n",
- " <td>10356.0</td>\n",
- " <td>10422.0</td>\n",
- " <td>10159.0</td>\n",
- " <td>10311.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>31</th>\n",
- " <td>9893.0</td>\n",
- " <td>10433.0</td>\n",
- " <td>10239.0</td>\n",
- " <td>10408.0</td>\n",
- " <td>10564.0</td>\n",
- " <td>10262.0</td>\n",
- " <td>10307.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>32</th>\n",
- " <td>10153.0</td>\n",
- " <td>10439.0</td>\n",
- " <td>10278.0</td>\n",
- " <td>10542.0</td>\n",
- " <td>10406.0</td>\n",
- " <td>10236.0</td>\n",
- " <td>10363.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>33</th>\n",
- " <td>10352.0</td>\n",
- " <td>10312.0</td>\n",
- " <td>10569.0</td>\n",
- " <td>10091.0</td>\n",
- " <td>10405.0</td>\n",
- " <td>10592.0</td>\n",
- " <td>10345.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>34</th>\n",
- " <td>10354.0</td>\n",
- " <td>10637.0</td>\n",
- " <td>10698.0</td>\n",
- " <td>10199.0</td>\n",
- " <td>10279.0</td>\n",
- " <td>10990.0</td>\n",
- " <td>10433.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>35</th>\n",
- " <td>10239.0</td>\n",
- " <td>9226.0</td>\n",
- " <td>9372.0</td>\n",
- " <td>9046.0</td>\n",
- " <td>9478.0</td>\n",
- " <td>10364.0</td>\n",
- " <td>9472.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>36</th>\n",
- " <td>9092.0</td>\n",
- " <td>10681.0</td>\n",
- " <td>10781.0</td>\n",
- " <td>10680.0</td>\n",
- " <td>10918.0</td>\n",
- " <td>9023.0</td>\n",
- " <td>10430.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>37</th>\n",
- " <td>10573.0</td>\n",
- " <td>10401.0</td>\n",
- " <td>10692.0</td>\n",
- " <td>10496.0</td>\n",
- " <td>10892.0</td>\n",
- " <td>11176.0</td>\n",
- " <td>10610.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>38</th>\n",
- " <td>10381.0</td>\n",
- " <td>10183.0</td>\n",
- " <td>10875.0</td>\n",
- " <td>10498.0</td>\n",
- " <td>10792.0</td>\n",
- " <td>10797.0</td>\n",
- " <td>10545.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>39</th>\n",
- " <td>10826.0</td>\n",
- " <td>10278.0</td>\n",
- " <td>11027.0</td>\n",
- " <td>10463.0</td>\n",
- " <td>10954.0</td>\n",
- " <td>10890.0</td>\n",
- " <td>10709.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>40</th>\n",
- " <td>10700.0</td>\n",
- " <td>10671.0</td>\n",
- " <td>11101.0</td>\n",
- " <td>10869.0</td>\n",
- " <td>11113.0</td>\n",
- " <td>11468.0</td>\n",
- " <td>10890.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>41</th>\n",
- " <td>11108.0</td>\n",
- " <td>11016.0</td>\n",
- " <td>11357.0</td>\n",
- " <td>11048.0</td>\n",
- " <td>11403.0</td>\n",
- " <td>11373.0</td>\n",
- " <td>11186.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>42</th>\n",
- " <td>10799.0</td>\n",
- " <td>11134.0</td>\n",
- " <td>11389.0</td>\n",
- " <td>11177.0</td>\n",
- " <td>11625.0</td>\n",
- " <td>11943.0</td>\n",
- " <td>11224.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>43</th>\n",
- " <td>10966.0</td>\n",
- " <td>11048.0</td>\n",
- " <td>11152.0</td>\n",
- " <td>10885.0</td>\n",
- " <td>11415.0</td>\n",
- " <td>12317.0</td>\n",
- " <td>11093.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>44</th>\n",
- " <td>11026.0</td>\n",
- " <td>11463.0</td>\n",
- " <td>11366.0</td>\n",
- " <td>10866.0</td>\n",
- " <td>11567.0</td>\n",
- " <td>12517.0</td>\n",
- " <td>11257.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>45</th>\n",
- " <td>11312.0</td>\n",
- " <td>11803.0</td>\n",
- " <td>11767.0</td>\n",
- " <td>11588.0</td>\n",
- " <td>12177.0</td>\n",
- " <td>13448.0</td>\n",
- " <td>11729.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>46</th>\n",
- " <td>11338.0</td>\n",
- " <td>12209.0</td>\n",
- " <td>11773.0</td>\n",
- " <td>11552.0</td>\n",
- " <td>12146.0</td>\n",
- " <td>13798.0</td>\n",
- " <td>11803.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>47</th>\n",
- " <td>11178.0</td>\n",
- " <td>12064.0</td>\n",
- " <td>12102.0</td>\n",
- " <td>11289.0</td>\n",
- " <td>12472.0</td>\n",
- " <td>14291.0</td>\n",
- " <td>11821.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>48</th>\n",
- " <td>11216.0</td>\n",
- " <td>11901.0</td>\n",
- " <td>12046.0</td>\n",
- " <td>11392.0</td>\n",
- " <td>12455.0</td>\n",
- " <td>14132.0</td>\n",
- " <td>11802.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>49</th>\n",
- " <td>11748.0</td>\n",
- " <td>12733.0</td>\n",
- " <td>12342.0</td>\n",
- " <td>11687.0</td>\n",
- " <td>12275.0</td>\n",
- " <td>13986.0</td>\n",
- " <td>12157.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>50</th>\n",
- " <td>11713.0</td>\n",
- " <td>12076.0</td>\n",
- " <td>12924.0</td>\n",
- " <td>12078.0</td>\n",
- " <td>12853.0</td>\n",
- " <td>13942.0</td>\n",
- " <td>12328.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>51</th>\n",
- " <td>12136.0</td>\n",
- " <td>13137.0</td>\n",
- " <td>14308.0</td>\n",
- " <td>12649.0</td>\n",
- " <td>13566.0</td>\n",
- " <td>14658.0</td>\n",
- " <td>13159.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>52</th>\n",
- " <td>9806.0</td>\n",
- " <td>9335.0</td>\n",
- " <td>9904.0</td>\n",
- " <td>8384.0</td>\n",
- " <td>8727.0</td>\n",
- " <td>13035.0</td>\n",
- " <td>9231.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>53</th>\n",
- " <td>8774.0</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>11580.0</td>\n",
- " <td>8774.0</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- "year 2015 2016 2017 2018 2019 2020 previous_mean\n",
- "week \n",
- "1 13751.0 14863.0 13612.0 14701.0 12424.0 13768.0 13870.2\n",
- "2 18318.0 13154.0 15528.0 17430.0 14487.0 16020.0 15783.4\n",
- "3 16738.0 13060.0 15231.0 16355.0 13545.0 14723.0 14985.8\n",
- "4 15712.0 12859.0 14461.0 15971.0 13283.0 13429.0 14457.2\n",
- "5 14560.0 12571.0 14188.0 15087.0 12799.0 13123.0 13841.0\n",
- "6 13730.0 12697.0 13805.0 14111.0 13222.0 12534.0 13513.0\n",
- "7 13510.0 12016.0 13212.0 13925.0 13347.0 12412.0 13202.0\n",
- "8 13071.0 12718.0 13330.0 13753.0 12877.0 12300.0 13149.8\n",
- "9 13181.0 12733.0 12819.0 12190.0 12479.0 12334.0 12680.4\n",
- "10 13007.0 12493.0 12580.0 14859.0 12396.0 12415.0 13067.0\n",
- "11 12475.0 12489.0 12089.0 14367.0 12018.0 12499.0 12687.6\n",
- "12 12027.0 10983.0 11833.0 13397.0 11797.0 12112.0 12007.4\n",
- "13 11987.0 11738.0 11453.0 11310.0 11260.0 12507.0 11549.6\n",
- "14 10325.0 13060.0 11305.0 12272.0 11445.0 18565.0 11681.4\n",
- "15 11575.0 12757.0 9761.0 13843.0 11661.0 20929.0 11919.4\n",
- "16 13061.0 12310.0 11000.0 12639.0 10243.0 24691.0 11850.6\n",
- "17 12023.0 11795.0 12356.0 11596.0 11452.0 24303.0 11844.4\n",
- "18 11586.0 10401.0 10372.0 11538.0 12695.0 20059.0 11318.4\n",
- "19 10138.0 12002.0 12114.0 9821.0 10361.0 14428.0 10887.2\n",
- "20 11692.0 11222.0 11718.0 11386.0 11717.0 16390.0 11547.0\n",
- "21 11334.0 11013.0 11431.0 10974.0 11653.0 13839.0 11281.0\n",
- "22 9514.0 9192.0 9603.0 9397.0 9534.0 11265.0 9448.0\n",
- "23 11603.0 11171.0 11134.0 11259.0 11461.0 12106.0 11325.6\n",
- "24 10858.0 10673.0 10698.0 10535.0 10754.0 11302.0 10703.6\n",
- "25 10629.0 10611.0 10930.0 10514.0 10807.0 10694.0 10698.2\n",
- "26 10525.0 10526.0 10624.0 10529.0 10824.0 10282.0 10605.6\n",
- "27 10545.0 10412.0 10565.0 10565.0 10328.0 10412.0 10483.0\n",
- "28 10278.0 10647.0 10643.0 10467.0 10512.0 9941.0 10509.4\n",
- "29 10028.0 10672.0 10426.0 10353.0 10324.0 10096.0 10360.6\n",
- "30 10021.0 10612.0 10147.0 10356.0 10422.0 10159.0 10311.6\n",
- "31 9893.0 10433.0 10239.0 10408.0 10564.0 10262.0 10307.4\n",
- "32 10153.0 10439.0 10278.0 10542.0 10406.0 10236.0 10363.6\n",
- "33 10352.0 10312.0 10569.0 10091.0 10405.0 10592.0 10345.8\n",
- "34 10354.0 10637.0 10698.0 10199.0 10279.0 10990.0 10433.4\n",
- "35 10239.0 9226.0 9372.0 9046.0 9478.0 10364.0 9472.2\n",
- "36 9092.0 10681.0 10781.0 10680.0 10918.0 9023.0 10430.4\n",
- "37 10573.0 10401.0 10692.0 10496.0 10892.0 11176.0 10610.8\n",
- "38 10381.0 10183.0 10875.0 10498.0 10792.0 10797.0 10545.8\n",
- "39 10826.0 10278.0 11027.0 10463.0 10954.0 10890.0 10709.6\n",
- "40 10700.0 10671.0 11101.0 10869.0 11113.0 11468.0 10890.8\n",
- "41 11108.0 11016.0 11357.0 11048.0 11403.0 11373.0 11186.4\n",
- "42 10799.0 11134.0 11389.0 11177.0 11625.0 11943.0 11224.8\n",
- "43 10966.0 11048.0 11152.0 10885.0 11415.0 12317.0 11093.2\n",
- "44 11026.0 11463.0 11366.0 10866.0 11567.0 12517.0 11257.6\n",
- "45 11312.0 11803.0 11767.0 11588.0 12177.0 13448.0 11729.4\n",
- "46 11338.0 12209.0 11773.0 11552.0 12146.0 13798.0 11803.6\n",
- "47 11178.0 12064.0 12102.0 11289.0 12472.0 14291.0 11821.0\n",
- "48 11216.0 11901.0 12046.0 11392.0 12455.0 14132.0 11802.0\n",
- "49 11748.0 12733.0 12342.0 11687.0 12275.0 13986.0 12157.0\n",
- "50 11713.0 12076.0 12924.0 12078.0 12853.0 13942.0 12328.8\n",
- "51 12136.0 13137.0 14308.0 12649.0 13566.0 14658.0 13159.2\n",
- "52 9806.0 9335.0 9904.0 8384.0 8727.0 13035.0 9231.2\n",
- "53 8774.0 NaN NaN NaN NaN 11580.0 8774.0"
- ]
- },
- "execution_count": 578,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "deaths_headlines_e['previous_mean'] = deaths_headlines_e[[int(y) for y in '2019 2018 2017 2016 2015'.split()]].apply(np.mean, axis=1)\n",
- "deaths_headlines_w['previous_mean'] = deaths_headlines_w[[int(y) for y in '2019 2018 2017 2016 2015'.split()]].apply(np.mean, axis=1)\n",
- "deaths_headlines_s['previous_mean'] = deaths_headlines_s[[int(y) for y in '2019 2018 2017 2016 2015'.split()]].apply(np.mean, axis=1)\n",
- "deaths_headlines_i['previous_mean'] = deaths_headlines_i[[int(y) for y in '2019 2018 2017 2016 2015'.split()]].apply(np.mean, axis=1)\n",
- "deaths_headlines['previous_mean'] = deaths_headlines[[int(y) for y in '2019 2018 2017 2016 2015'.split()]].apply(np.mean, axis=1)\n",
- "deaths_headlines"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 580,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<AxesSubplot:xlabel='week'>"
- ]
- },
- "execution_count": 580,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 1008x576 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "deaths_headlines[[2020, 2019, 2018, 2017, 2016, 2015]].plot(figsize=(14, 8))"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 581,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<AxesSubplot:xlabel='week'>"
- ]
- },
- "execution_count": 581,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 720x576 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "deaths_headlines[[2020, 'previous_mean']].plot(figsize=(10, 8))"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 582,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<AxesSubplot:xlabel='week'>"
- ]
- },
- "execution_count": 582,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 432x288 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "deaths_headlines_i.plot()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 591,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "83207.6000000001"
- ]
- },
- "execution_count": 591,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "deaths_headlines[2020].sum() - deaths_headlines.previous_mean.sum()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 583,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 720x720 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "# Radar plot code taken from example at https://stackoverflow.com/questions/42878485/getting-matplotlib-radar-plot-with-pandas#\n",
- "\n",
- "dhna = deaths_headlines.dropna()\n",
- "\n",
- "fig = plt.figure(figsize=(10, 10))\n",
- "ax = fig.add_subplot(111, projection=\"polar\")\n",
- "\n",
- "theta = np.roll(\n",
- " np.flip(\n",
- " np.arange(len(dhna))/float(len(dhna))*2.*np.pi),\n",
- " 14)\n",
- "# l15, = ax.plot(theta, deaths_headlines['total_2015'], color=\"#b56363\", label=\"2015\") # 0\n",
- "# l16, = ax.plot(theta, deaths_headlines['total_2016'], color=\"#a4b563\", label=\"2016\") # 72\n",
- "# l17, = ax.plot(theta, deaths_headlines['total_2017'], color=\"#63b584\", label=\"2017\") # 144\n",
- "# l18, = ax.plot(theta, deaths_headlines['total_2018'], color=\"#6384b5\", label=\"2018\") # 216\n",
- "# l19, = ax.plot(theta, deaths_headlines['total_2019'], color=\"#a4635b\", label=\"2019\") # 288\n",
- "l15, = ax.plot(theta, dhna[2015], color=\"#e47d7d\", label=\"2015\") # 0\n",
- "l16, = ax.plot(theta, dhna[2016], color=\"#afc169\", label=\"2016\") # 72 , d0e47d\n",
- "l17, = ax.plot(theta, dhna[2017], color=\"#7de4a6\", label=\"2017\") # 144\n",
- "l18, = ax.plot(theta, dhna[2018], color=\"#7da6e4\", label=\"2018\") # 216\n",
- "l19, = ax.plot(theta, dhna[2019], color=\"#d07de4\", label=\"2019\") # 288\n",
- "\n",
- "lmean, = ax.plot(theta, dhna['previous_mean'], color=\"black\", linestyle='dashed', label=\"mean\")\n",
- "\n",
- "l20, = ax.plot(theta, dhna[2020], color=\"red\", label=\"2020\")\n",
- "\n",
- "# deaths_headlines.total_2019.plot(ax=ax)\n",
- "\n",
- "def _closeline(line):\n",
- " x, y = line.get_data()\n",
- " x = np.concatenate((x, [x[0]]))\n",
- " y = np.concatenate((y, [y[0]]))\n",
- " line.set_data(x, y)\n",
- "\n",
- "[_closeline(l) for l in [l19, l18, l17, l16, l15, lmean]]\n",
- "\n",
- "\n",
- "ax.set_xticks(theta)\n",
- "ax.set_xticklabels(dhna.index)\n",
- "plt.legend()\n",
- "plt.title(\"Deaths by week over years, all UK\")\n",
- "plt.savefig('deaths-radar.png')\n",
- "plt.show()"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "Collapsed": "false"
- },
- "source": [
- "# Plots for UK nations"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 584,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 720x720 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "# Radar plot code taken from example at https://stackoverflow.com/questions/42878485/getting-matplotlib-radar-plot-with-pandas#\n",
- "\n",
- "fig = plt.figure(figsize=(10, 10))\n",
- "ax = fig.add_subplot(111, projection=\"polar\")\n",
- "\n",
- "theta = np.roll(\n",
- " np.flip(\n",
- " np.arange(len(deaths_headlines_e))/float(len(deaths_headlines_e))*2.*np.pi),\n",
- " 14)\n",
- "l15, = ax.plot(theta, deaths_headlines_e[2015], color=\"#e47d7d\", label=\"2015\") # 0\n",
- "l16, = ax.plot(theta, deaths_headlines_e[2016], color=\"#afc169\", label=\"2016\") # 72 , d0e47d\n",
- "l17, = ax.plot(theta, deaths_headlines_e[2017], color=\"#7de4a6\", label=\"2017\") # 144\n",
- "l18, = ax.plot(theta, deaths_headlines_e[2018], color=\"#7da6e4\", label=\"2018\") # 216\n",
- "l19, = ax.plot(theta, deaths_headlines_e[2019], color=\"#d07de4\", label=\"2019\") # 288\n",
- "\n",
- "lmean, = ax.plot(theta, deaths_headlines_e['previous_mean'], color=\"black\", linestyle='dashed', label=\"mean\")\n",
- "\n",
- "l20, = ax.plot(theta, deaths_headlines_e[2020], color=\"red\", label=\"2020\")\n",
- "\n",
- "# deaths_headlines.total_2019.plot(ax=ax)\n",
- "\n",
- "def _closeline(line):\n",
- " x, y = line.get_data()\n",
- " x = np.concatenate((x, [x[0]]))\n",
- " y = np.concatenate((y, [y[0]]))\n",
- " line.set_data(x, y)\n",
- "\n",
- "[_closeline(l) for l in [l19, l18, l17, l16, l15, lmean]]\n",
- "\n",
- "\n",
- "ax.set_xticks(theta)\n",
- "ax.set_xticklabels(deaths_headlines_e.index)\n",
- "plt.legend()\n",
- "plt.title(\"Deaths by week over years, England\")\n",
- "plt.savefig('deaths-radar_england.png')\n",
- "plt.show()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 585,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 720x720 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "# Radar plot code taken from example at https://stackoverflow.com/questions/42878485/getting-matplotlib-radar-plot-with-pandas#\n",
- "\n",
- "fig = plt.figure(figsize=(10, 10))\n",
- "ax = fig.add_subplot(111, projection=\"polar\")\n",
- "\n",
- "theta = np.roll(\n",
- " np.flip(\n",
- " np.arange(len(deaths_headlines_w))/float(len(deaths_headlines_w))*2.*np.pi),\n",
- " 14)\n",
- "l15, = ax.plot(theta, deaths_headlines_w[2015], color=\"#e47d7d\", label=\"2015\") # 0\n",
- "l16, = ax.plot(theta, deaths_headlines_w[2016], color=\"#afc169\", label=\"2016\") # 72 , d0e47d\n",
- "l17, = ax.plot(theta, deaths_headlines_w[2017], color=\"#7de4a6\", label=\"2017\") # 144\n",
- "l18, = ax.plot(theta, deaths_headlines_w[2018], color=\"#7da6e4\", label=\"2018\") # 216\n",
- "l19, = ax.plot(theta, deaths_headlines_w[2019], color=\"#d07de4\", label=\"2019\") # 288\n",
- "\n",
- "lmean, = ax.plot(theta, deaths_headlines_w['previous_mean'], color=\"black\", linestyle='dashed', label=\"mean\")\n",
- "\n",
- "l20, = ax.plot(theta, deaths_headlines_w[2020], color=\"red\", label=\"2020\")\n",
- "\n",
- "\n",
- "def _closeline(line):\n",
- " x, y = line.get_data()\n",
- " x = np.concatenate((x, [x[0]]))\n",
- " y = np.concatenate((y, [y[0]]))\n",
- " line.set_data(x, y)\n",
- "\n",
- "[_closeline(l) for l in [l19, l18, l17, l16, l15, lmean]]\n",
- "\n",
- "\n",
- "ax.set_xticks(theta)\n",
- "ax.set_xticklabels(deaths_headlines_w.index)\n",
- "plt.legend()\n",
- "plt.title(\"Deaths by week over years, Wales\")\n",
- "plt.savefig('deaths-radar_wales.png')\n",
- "plt.show()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 586,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 720x720 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "# Radar plot code taken from example at https://stackoverflow.com/questions/42878485/getting-matplotlib-radar-plot-with-pandas#\n",
- "\n",
- "fig = plt.figure(figsize=(10, 10))\n",
- "ax = fig.add_subplot(111, projection=\"polar\")\n",
- "\n",
- "theta = np.roll(\n",
- " np.flip(\n",
- " np.arange(len(deaths_headlines_s))/float(len(deaths_headlines_s))*2.*np.pi),\n",
- " 14)\n",
- "l15, = ax.plot(theta, deaths_headlines_s[2015], color=\"#e47d7d\", label=\"2015\") # 0\n",
- "l16, = ax.plot(theta, deaths_headlines_s[2016], color=\"#afc169\", label=\"2016\") # 72 , d0e47d\n",
- "l17, = ax.plot(theta, deaths_headlines_s[2017], color=\"#7de4a6\", label=\"2017\") # 144\n",
- "l18, = ax.plot(theta, deaths_headlines_s[2018], color=\"#7da6e4\", label=\"2018\") # 216\n",
- "l19, = ax.plot(theta, deaths_headlines_s[2019], color=\"#d07de4\", label=\"2019\") # 288\n",
- "\n",
- "lmean, = ax.plot(theta, deaths_headlines_s['previous_mean'], color=\"black\", linestyle='dashed', label=\"mean\")\n",
- "\n",
- "l20, = ax.plot(theta, deaths_headlines_s[2020], color=\"red\", label=\"2020\")\n",
- "\n",
- "\n",
- "def _closeline(line):\n",
- " x, y = line.get_data()\n",
- " x = np.concatenate((x, [x[0]]))\n",
- " y = np.concatenate((y, [y[0]]))\n",
- " line.set_data(x, y)\n",
- "\n",
- "[_closeline(l) for l in [l19, l18, l17, l16, l15, lmean]]\n",
- "\n",
- "\n",
- "ax.set_xticks(theta)\n",
- "ax.set_xticklabels(deaths_headlines_s.index)\n",
- "plt.legend()\n",
- "plt.title(\"Deaths by week over years, Scotland\")\n",
- "plt.savefig('deaths-radar_scotland.png')\n",
- "plt.show()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 587,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 720x720 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "# Radar plot code taken from example at https://stackoverflow.com/questions/42878485/getting-matplotlib-radar-plot-with-pandas#\n",
- "\n",
- "fig = plt.figure(figsize=(10, 10))\n",
- "ax = fig.add_subplot(111, projection=\"polar\")\n",
- "\n",
- "theta = np.roll(\n",
- " np.flip(\n",
- " np.arange(len(deaths_headlines_i))/float(len(deaths_headlines_i))*2.*np.pi),\n",
- " 14)\n",
- "l15, = ax.plot(theta, deaths_headlines_i[2015], color=\"#e47d7d\", label=\"2015\") # 0\n",
- "l16, = ax.plot(theta, deaths_headlines_i[2016], color=\"#afc169\", label=\"2016\") # 72 , d0e47d\n",
- "l17, = ax.plot(theta, deaths_headlines_i[2017], color=\"#7de4a6\", label=\"2017\") # 144\n",
- "l18, = ax.plot(theta, deaths_headlines_i[2018], color=\"#7da6e4\", label=\"2018\") # 216\n",
- "l19, = ax.plot(theta, deaths_headlines_i[2019], color=\"#d07de4\", label=\"2019\") # 288\n",
- "\n",
- "lmean, = ax.plot(theta, deaths_headlines_i['previous_mean'], color=\"black\", linestyle='dashed', label=\"mean\")\n",
- "\n",
- "l20, = ax.plot(theta, deaths_headlines_i[2020], color=\"red\", label=\"2020\")\n",
- "\n",
- "\n",
- "def _closeline(line):\n",
- " x, y = line.get_data()\n",
- " x = np.concatenate((x, [x[0]]))\n",
- " y = np.concatenate((y, [y[0]]))\n",
- " line.set_data(x, y)\n",
- "\n",
- "[_closeline(l) for l in [l19, l18, l17, l16, l15, lmean]]\n",
- "\n",
- "\n",
- "ax.set_xticks(theta)\n",
- "ax.set_xticklabels(deaths_headlines_i.index)\n",
- "plt.legend()\n",
- "plt.title(\"Deaths by week over years, Northern Ireland\")\n",
- "plt.savefig('deaths-radar_northern_ireland.png')\n",
- "plt.show()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": []
- }
- ],
- "metadata": {
- "jupytext": {
- "formats": "ipynb,md"
- },
- "kernelspec": {
- "display_name": "Python 3",
- "language": "python",
- "name": "python3"
- },
- "language_info": {
- "codemirror_mode": {
- "name": "ipython",
- "version": 3
- },
- "file_extension": ".py",
- "mimetype": "text/x-python",
- "name": "python",
- "nbconvert_exporter": "python",
- "pygments_lexer": "ipython3",
- "version": "3.8.5"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
--- /dev/null
+---
+jupyter:
+ jupytext:
+ formats: ipynb,md
+ text_representation:
+ extension: .md
+ format_name: markdown
+ format_version: '1.3'
+ jupytext_version: 1.10.2
+ kernelspec:
+ display_name: Python 3
+ language: python
+ name: python3
+---
+
+<!-- #region Collapsed="false" -->
+Data from:
+
+* [Office of National Statistics](https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/datasets/weeklyprovisionalfiguresondeathsregisteredinenglandandwales) (Endland and Wales) Weeks start on a Saturday.
+* [Northern Ireland Statistics and Research Agency](https://www.nisra.gov.uk/publications/weekly-deaths) (Northern Ireland). Weeks start on a Saturday. Note that the week numbers don't match the England and Wales data.
+* [National Records of Scotland](https://www.nrscotland.gov.uk/statistics-and-data/statistics/statistics-by-theme/vital-events/general-publications/weekly-and-monthly-data-on-births-and-deaths/weekly-data-on-births-and-deaths) (Scotland). Note that Scotland uses ISO8601 week numbers, which start on a Monday.
+
+<!-- #endregion -->
+
+```python Collapsed="false"
+import itertools
+import collections
+import json
+import pandas as pd
+import numpy as np
+from scipy.stats import gmean
+import datetime
+
+import matplotlib as mpl
+import matplotlib.pyplot as plt
+%matplotlib inline
+
+from sqlalchemy.types import Integer, Text, String, DateTime, Float
+from sqlalchemy import create_engine
+%load_ext sql
+```
+
+```python Collapsed="false"
+connection_string = 'postgresql://covid:3NbjJTkT63@localhost/covid'
+```
+
+```python Collapsed="false"
+%sql $connection_string
+```
+
+```python Collapsed="false"
+conn = create_engine(connection_string)
+```
+
+```python Collapsed="false"
+england_wales_filename = 'uk-deaths-data/publishedweek532020.xlsx'
+```
+
+```sql Collapsed="false"
+drop table if exists all_causes_deaths;
+create table all_causes_deaths (
+ week integer,
+ year integer,
+ date_up_to date,
+ nation varchar(20),
+ deaths integer,
+ CONSTRAINT week_nation PRIMARY KEY(year, week, nation)
+);
+```
+
+```python Collapsed="false"
+raw_data_2015 = pd.read_csv('uk-deaths-data/Weekly_Deaths_NI_2015.csv',
+ parse_dates=[1, 2], dayfirst=True,
+# index_col=0,
+ header=[0, 1]
+ )
+dh15i = raw_data_2015.iloc[:, [0, 3]]
+dh15i.set_index(dh15i.columns[0], inplace=True)
+dh15i.columns = ['total_2015']
+dh15i.tail()
+```
+
+```python Collapsed="false"
+raw_data_2015.head()
+```
+
+```python Collapsed="false"
+rd = raw_data_2015.iloc[:, [0, 2, 3]].droplevel(1, axis=1).rename(
+ columns={'Week Ends (Friday)': 'date_up_to', 'Total Number of Deaths Registered in Week (2015P)': 'deaths',
+ 'Registration Week': 'week'}
+ )
+rd['year'] = 2015
+rd['nation'] = 'Northern Ireland'
+rd.head()
+```
+
+```python Collapsed="false"
+rd.to_sql(
+ 'all_causes_deaths',
+ conn,
+ if_exists='append',
+ index=False)
+```
+
+```python Collapsed="false"
+%sql select * from all_causes_deaths limit 10
+```
+
+```python Collapsed="false"
+raw_data_2016 = pd.read_csv('uk-deaths-data/Weekly_Deaths_NI_2016.csv',
+ parse_dates=[1, 2], dayfirst=True,
+# index_col=0,
+ header=[0, 1]
+ )
+raw_data_2016.head()
+# dh16i = raw_data_2016.iloc[:, [2]]
+# dh16i.columns = ['total_2016']
+# # dh16i.head()
+dh16i = raw_data_2016.iloc[:, [0, 3]]
+dh16i.set_index(dh16i.columns[0], inplace=True)
+dh16i.columns = ['total_2016']
+dh16i.tail()
+```
+
+```python Collapsed="false"
+rd = raw_data_2016.iloc[:, [0, 2, 3]].droplevel(1, axis=1).rename(
+ columns={'Week Ends (Friday)': 'date_up_to', 'Total Number of Deaths Registered in Week (2016P)': 'deaths',
+ 'Registration Week': 'week'}
+ )
+rd['year'] = 2016
+rd['nation'] = 'Northern Ireland'
+rd.head()
+```
+
+```python Collapsed="false"
+rd.to_sql(
+ 'all_causes_deaths',
+ conn,
+ if_exists='append',
+ index=False)
+```
+
+```python Collapsed="false"
+%sql select year, nation, count(date_up_to) from all_causes_deaths group by (year, nation)
+```
+
+```python Collapsed="false"
+raw_data_2017 = pd.read_csv('uk-deaths-data/Weekly_Deaths_NI_2017.csv',
+ parse_dates=[1, 2], dayfirst=True,
+# index_col=0,
+ header=[0, 1]
+ )
+raw_data_2017.head()
+dh17i = raw_data_2017.iloc[:, [0, 3]]
+dh17i.set_index(dh17i.columns[0], inplace=True)
+dh17i.columns = ['total_2017']
+dh17i.tail()
+```
+
+```python Collapsed="false"
+rd = raw_data_2017.iloc[:, [0, 2, 3]].droplevel(1, axis=1).rename(
+ columns={'Week Ends (Friday)': 'date_up_to', 'Total Number of Deaths Registered in Week (2017P)': 'deaths',
+ 'Registration Week': 'week'}
+ )
+rd['year'] = 2017
+rd['nation'] = 'Northern Ireland'
+rd.head()
+```
+
+```python Collapsed="false"
+rd.to_sql(
+ 'all_causes_deaths',
+ conn,
+ if_exists='append',
+ index=False)
+```
+
+```python Collapsed="false"
+%sql select year, nation, count(date_up_to) from all_causes_deaths group by (year, nation)
+```
+
+```python Collapsed="false"
+raw_data_2018 = pd.read_csv('uk-deaths-data/Weekly_Deaths_NI_2018.csv',
+ parse_dates=[1, 2], dayfirst=True,
+# index_col=0,
+ header=[0, 1]
+ )
+raw_data_2018.head()
+dh18i = raw_data_2018.iloc[:, [0, 3]]
+dh18i.set_index(dh18i.columns[0], inplace=True)
+dh18i.columns = ['total_2018']
+dh18i.tail()
+```
+
+```python Collapsed="false"
+rd = raw_data_2018.iloc[:, [0, 2, 3]].droplevel(1, axis=1).rename(
+ columns={'Week Ends (Friday)': 'date_up_to', 'Total Number of Deaths Registered in Week (2018P)': 'deaths',
+ 'Registration Week': 'week'}
+ )
+rd['year'] = 2018
+rd['nation'] = 'Northern Ireland'
+rd.head()
+```
+
+```python Collapsed="false"
+rd.to_sql(
+ 'all_causes_deaths',
+ conn,
+ if_exists='append',
+ index=False)
+```
+
+```python Collapsed="false"
+%sql select year, nation, count(date_up_to) from all_causes_deaths group by (year, nation)
+```
+
+```python Collapsed="false"
+raw_data_2019 = pd.read_csv('uk-deaths-data/Weekly_Deaths_NI_2019.csv',
+ parse_dates=[1, 2], dayfirst=True,
+# index_col=0,
+ header=[0, 1]
+ )
+raw_data_2019.head()
+dh19i = raw_data_2019.iloc[:, [0, 3]]
+dh19i.set_index(dh19i.columns[0], inplace=True)
+dh19i.columns = ['total_2019']
+dh19i.tail()
+```
+
+```python Collapsed="false"
+rd = raw_data_2019.iloc[:, [0, 2, 3]].droplevel(1, axis=1).rename(
+ columns={'Week Ends (Friday)': 'date_up_to', 'Total Number of Deaths Registered in Week (2019P)': 'deaths',
+ 'Registration Week': 'week'}
+ )
+rd['year'] = 2019
+rd['nation'] = 'Northern Ireland'
+rd.head()
+```
+
+```python Collapsed="false"
+rd.to_sql(
+ 'all_causes_deaths',
+ conn,
+ if_exists='append',
+ index=False)
+```
+
+```python Collapsed="false"
+%sql select year, nation, count(date_up_to) from all_causes_deaths group by (year, nation)
+```
+
+```python Collapsed="false"
+raw_data_2020_i = pd.read_csv('uk-deaths-data/Weekly_Deaths_NI_2020.csv',
+ parse_dates=[1], dayfirst=True,
+ header=[0, 1]
+ )
+raw_data_2020_i.head()
+```
+
+```python Collapsed="false"
+rd = raw_data_2020_i.iloc[:, [0, 1, 2]].droplevel(1, axis=1).rename(
+ columns={'Week Ending (Friday)': 'date_up_to', 'Total Number of Deaths Registered in Week (2020P)': 'deaths',
+ 'Registration Week': 'week'}
+ )
+rd['year'] = 2020
+rd['nation'] = 'Northern Ireland'
+rd.head()
+```
+
+```python Collapsed="false"
+rd.tail()
+```
+
+```python Collapsed="false"
+rd.to_sql(
+ 'all_causes_deaths',
+ conn,
+ if_exists='append',
+ index=False)
+```
+
+```python Collapsed="false"
+%sql select year, nation, count(date_up_to) from all_causes_deaths group by (year, nation) order by nation, year
+```
+
+```python
+raw_data_2020_i.set_index(raw_data_2020_i.columns[0], inplace=True)
+raw_data_2020_i.tail()
+```
+
+```python Collapsed="false"
+datetime.datetime.now().isocalendar()
+```
+
+```python Collapsed="false"
+datetime.datetime.fromisocalendar(2021, 3, 1)
+```
+
+```python Collapsed="false"
+
+```
+
+```python Collapsed="false"
+raw_data_s = pd.read_csv('uk-deaths-data/weekly-deaths-scotland.csv',
+ index_col=0,
+ header=0,
+ skiprows=2
+ )
+# raw_data_s
+```
+
+```python Collapsed="false"
+deaths_headlines_s = raw_data_s[reversed('2015 2016 2017 2018 2019 2020'.split())]
+deaths_headlines_s.columns = ['total_' + c for c in deaths_headlines_s.columns]
+deaths_headlines_s.reset_index(drop=True, inplace=True)
+deaths_headlines_s.index = deaths_headlines_s.index + 1
+deaths_headlines_s
+```
+
+```python
+%sql select * from all_causes_deaths limit 5
+```
+
+```python Collapsed="false"
+for year, ser in deaths_headlines_s.items():
+ year_i = int(year[-4:])
+# print(year_i)
+ for week, deaths in ser.dropna().iteritems():
+# print(datetime.date.fromisocalendar(year_i, week, 7), deaths)
+ dut = datetime.date.fromisocalendar(year_i, week, 7)
+ %sql insert into all_causes_deaths(week, year, date_up_to, nation, deaths) values ({week}, {year_i}, :dut, 'Scotland', {deaths})
+```
+
+```python
+%sql select year, nation, count(date_up_to) from all_causes_deaths group by (year, nation) order by nation, year
+```
+
+```python
+%sql select year, nation, date_up_to from all_causes_deaths where week=3 order by year, nation
+```
+
+```python Collapsed="false"
+eng_xls = pd.read_excel(england_wales_filename,
+ sheet_name="Weekly figures 2020",
+ skiprows=[0, 1, 2, 3],
+ header=0,
+ index_col=[1]
+ ).iloc[:91].T
+eng_xls
+```
+
+```python Collapsed="false"
+# eng_xls_columns
+```
+
+```python Collapsed="false"
+eng_xls_columns = list(eng_xls.columns)
+
+for i, c in enumerate(eng_xls_columns):
+# print(i, c, type(c), isinstance(c, float))
+ if isinstance(c, float) and np.isnan(c):
+ if eng_xls.iloc[0].iloc[i] is not pd.NaT:
+ eng_xls_columns[i] = eng_xls.iloc[0].iloc[i]
+
+# np.isnan(eng_xls_columns[0])
+# eng_xls_columns
+
+eng_xls.columns = eng_xls_columns
+# eng_xls.columns
+```
+
+```python
+eng_xls
+```
+
+```python
+rd = eng_xls.iloc[1:][['Week ended', 'Wales']].reset_index(level=0).rename(
+ columns={'Week ended': 'date_up_to', 'Wales': 'deaths',
+ 'index': 'week'}
+ )
+rd['year'] = 2020
+rd['nation'] = 'Wales'
+rd.head()
+```
+
+```python
+rd.to_sql(
+ 'all_causes_deaths',
+ conn,
+ if_exists='append',
+ index=False)
+```
+
+```python Collapsed="false"
+eng_xls = eng_xls.iloc[1:]
+eng_xls['England deaths'] = eng_xls.loc[:, 'Total deaths, all ages'] - eng_xls.loc[:, 'Wales']
+```
+
+```python
+eng_xls.head()
+```
+
+```python
+rd = eng_xls[['Week ended', 'England deaths']].reset_index(level=0).rename(
+ columns={'Week ended': 'date_up_to', 'England deaths': 'deaths',
+ 'index': 'week'}
+ )
+rd['year'] = 2020
+rd['nation'] = 'England'
+rd.head()
+```
+
+```python
+%sql delete from all_causes_deaths where nation = 'England'
+```
+
+```python
+rd.to_sql(
+ 'all_causes_deaths',
+ conn,
+ if_exists='append',
+ index=False)
+```
+
+```python
+rd.tail()
+```
+
+```python
+%sql select year, nation, count(date_up_to) from all_causes_deaths group by (year, nation) order by nation, year
+```
+
+```python Collapsed="false"
+# raw_data_2020 = pd.read_csv('uk-deaths-data/publishedweek272020.csv',
+# parse_dates=[1], dayfirst=True,
+# index_col=0,
+# header=[0, 1])
+```
+
+```python Collapsed="false"
+
+```
+
+```python Collapsed="false"
+# raw_data_2020.head()
+```
+
+```python Collapsed="false"
+# raw_data_2020['W92000004', 'Wales']
+```
+
+```python Collapsed="false"
+raw_data_2019 = pd.read_csv('uk-deaths-data/publishedweek522019.csv',
+ parse_dates=[1], dayfirst=True,
+# index_col=0,
+ header=[0, 1])
+# raw_data_2019.head()
+```
+
+```python
+rdew = raw_data_2019.iloc[:, [0, 1, 2, -1]].droplevel(axis=1, level=1)
+rdew.head()
+```
+
+```python
+rd = rdew.drop(columns=['Total deaths, all ages']).rename(
+ columns={'Week ended': 'date_up_to', 'W92000004': 'deaths',
+ 'Week number': 'week'}
+ )
+rd['year'] = 2019
+rd['nation'] = 'Wales'
+rd.head()
+```
+
+```python
+rd.to_sql(
+ 'all_causes_deaths',
+ conn,
+ if_exists='append',
+ index=False)
+```
+
+```python
+rd = rdew.loc[:, ['Week ended','Week number']]
+rd['deaths'] = rdew['Total deaths, all ages'] - rdew['W92000004']
+rd = rd.rename(
+ columns={'Week ended': 'date_up_to', 'Week number': 'week'}
+ )
+rd['year'] = 2019
+rd['nation'] = 'England'
+rd.head()
+```
+
+```python
+rd.to_sql(
+ 'all_causes_deaths',
+ conn,
+ if_exists='append',
+ index=False)
+```
+
+```python
+%sql select year, nation, count(date_up_to) from all_causes_deaths group by (year, nation) order by nation, year
+```
+
+```python Collapsed="false"
+raw_data_2018 = pd.read_csv('uk-deaths-data/publishedweek522018.csv',
+ parse_dates=[1], dayfirst=True,
+# index_col=0,
+ header=[0, 1])
+# raw_data_2018.head()
+```
+
+```python
+rdew = raw_data_2018.iloc[:, [0, 1, 2, -1]].droplevel(axis=1, level=1)
+rdew.head()
+```
+
+```python
+rd = rdew.drop(columns=['Total deaths, all ages']).rename(
+ columns={'Week ended': 'date_up_to', 'W92000004': 'deaths',
+ 'Week number': 'week'}
+ )
+rd['year'] = 2018
+rd['nation'] = 'Wales'
+rd.head()
+```
+
+```python
+rd.to_sql(
+ 'all_causes_deaths',
+ conn,
+ if_exists='append',
+ index=False)
+```
+
+```python
+rd = rdew.loc[:, ['Week ended','Week number']]
+rd['deaths'] = rdew['Total deaths, all ages'] - rdew['W92000004']
+rd = rd.rename(
+ columns={'Week ended': 'date_up_to', 'Week number': 'week'}
+ )
+rd['year'] = 2018
+rd['nation'] = 'England'
+rd.head()
+```
+
+```python
+rd.to_sql(
+ 'all_causes_deaths',
+ conn,
+ if_exists='append',
+ index=False)
+```
+
+```python
+%sql select year, nation, count(date_up_to) from all_causes_deaths group by (year, nation) order by nation, year
+```
+
+```python Collapsed="false"
+raw_data_2017 = pd.read_csv('uk-deaths-data/publishedweek522017.csv',
+ parse_dates=[1], dayfirst=True,
+# index_col=0,
+ header=[0, 1])
+# raw_data_2017.head()
+```
+
+```python
+rdew = raw_data_2017.iloc[:, [0, 1, 2, -1]].droplevel(axis=1, level=1)
+rdew.head()
+```
+
+```python
+rd = rdew.drop(columns=['Total deaths, all ages']).rename(
+ columns={'Week ended': 'date_up_to', 'W92000004': 'deaths',
+ 'Week number': 'week'}
+ )
+rd['year'] = 2017
+rd['nation'] = 'Wales'
+rd.head()
+```
+
+```python
+rd.to_sql(
+ 'all_causes_deaths',
+ conn,
+ if_exists='append',
+ index=False)
+```
+
+```python
+rd = rdew.loc[:, ['Week ended','Week number']]
+rd['deaths'] = rdew['Total deaths, all ages'] - rdew['W92000004']
+rd = rd.rename(
+ columns={'Week ended': 'date_up_to', 'Week number': 'week'}
+ )
+rd['year'] = 2017
+rd['nation'] = 'England'
+rd.head()
+```
+
+```python
+rd.to_sql(
+ 'all_causes_deaths',
+ conn,
+ if_exists='append',
+ index=False)
+```
+
+```python
+%sql select year, nation, count(date_up_to) from all_causes_deaths group by (year, nation) order by nation, year
+```
+
+```python
+
+```
+
+```python Collapsed="false"
+raw_data_2016 = pd.read_csv('uk-deaths-data/publishedweek522016.csv',
+ parse_dates=[1], dayfirst=True,
+# index_col=0,
+ header=[0, 1])
+# raw_data_2016.head()
+```
+
+```python
+raw_data_2016.head()
+```
+
+```python
+rdew = raw_data_2016.iloc[:, [0, 1, 2, -1]].droplevel(axis=1, level=1)
+rdew.head()
+```
+
+```python
+rd = rdew.drop(columns=['Total deaths, all ages']).rename(
+ columns={'Week ended': 'date_up_to', 'W92000004': 'deaths',
+ 'Week number': 'week'}
+ )
+rd['year'] = 2016
+rd['nation'] = 'Wales'
+rd.head()
+```
+
+```python
+rd.to_sql(
+ 'all_causes_deaths',
+ conn,
+ if_exists='append',
+ index=False)
+```
+
+```python
+rd = rdew.loc[:, ['Week ended','Week number']]
+rd['deaths'] = rdew['Total deaths, all ages'] - rdew['W92000004']
+rd = rd.rename(
+ columns={'Week ended': 'date_up_to', 'Week number': 'week'}
+ )
+rd['year'] = 2016
+rd['nation'] = 'England'
+rd.head()
+```
+
+```python
+rd.to_sql(
+ 'all_causes_deaths',
+ conn,
+ if_exists='append',
+ index=False)
+```
+
+```python
+ %sql select year, nation, count(date_up_to) from all_causes_deaths group by (year, nation) order by nation, year
+```
+
+```python Collapsed="false"
+raw_data_2015 = pd.read_csv('uk-deaths-data/publishedweek2015.csv',
+ parse_dates=[1], dayfirst=True,
+# index_col=0,
+ header=[0, 1])
+# raw_data_2015.head()
+```
+
+```python
+rdew = raw_data_2015.iloc[:, [0, 1, 2, -1]].droplevel(axis=1, level=1)
+rdew.head()
+```
+
+```python
+rd = rdew.drop(columns=['Total deaths, all ages']).rename(
+ columns={'Week ended': 'date_up_to', 'W92000004': 'deaths',
+ 'Week number': 'week'}
+ )
+rd['year'] = 2015
+rd['nation'] = 'Wales'
+rd.head()
+```
+
+```python
+rd.to_sql(
+ 'all_causes_deaths',
+ conn,
+ if_exists='append',
+ index=False)
+```
+
+```python
+rd = rdew.loc[:, ['Week ended','Week number']]
+rd['deaths'] = rdew['Total deaths, all ages'] - rdew['W92000004']
+rd = rd.rename(
+ columns={'Week ended': 'date_up_to', 'Week number': 'week'}
+ )
+rd['year'] = 2015
+rd['nation'] = 'England'
+rd.head()
+```
+
+```python
+rd.to_sql(
+ 'all_causes_deaths',
+ conn,
+ if_exists='append',
+ index=False)
+```
+
+```python
+%sql select year, nation, count(date_up_to) from all_causes_deaths group by (year, nation) order by year, nation
+```
+
+```sql magic_args="res << select week, year, deaths"
+from all_causes_deaths
+where nation = 'England'
+```
+
+```python
+deaths_headlines_e = res.DataFrame().pivot(index='week', columns='year', values='deaths')
+deaths_headlines_e
+```
+
+```python
+
+```
+
+```sql magic_args="res << select week, year, deaths"
+from all_causes_deaths
+where nation = 'Scotland'
+```
+
+```python
+deaths_headlines_s = res.DataFrame().pivot(index='week', columns='year', values='deaths')
+deaths_headlines_s
+```
+
+```sql magic_args="res << select week, year, deaths"
+from all_causes_deaths
+where nation = 'Wales'
+```
+
+```python
+deaths_headlines_w = res.DataFrame().pivot(index='week', columns='year', values='deaths')
+deaths_headlines_w
+```
+
+```sql magic_args="res << select week, year, deaths"
+from all_causes_deaths
+where nation = 'Northern Ireland'
+```
+
+```python
+deaths_headlines_i = res.DataFrame().pivot(index='week', columns='year', values='deaths')
+deaths_headlines_i
+```
+
+```python Collapsed="false"
+deaths_headlines = deaths_headlines_e + deaths_headlines_w + deaths_headlines_i + deaths_headlines_s
+deaths_headlines
+```
+
+```python
+deaths_headlines_e.columns
+```
+
+```python
+deaths_headlines_e['previous_mean'] = deaths_headlines_e[[int(y) for y in '2019 2018 2017 2016 2015'.split()]].apply(np.mean, axis=1)
+deaths_headlines_w['previous_mean'] = deaths_headlines_w[[int(y) for y in '2019 2018 2017 2016 2015'.split()]].apply(np.mean, axis=1)
+deaths_headlines_s['previous_mean'] = deaths_headlines_s[[int(y) for y in '2019 2018 2017 2016 2015'.split()]].apply(np.mean, axis=1)
+deaths_headlines_i['previous_mean'] = deaths_headlines_i[[int(y) for y in '2019 2018 2017 2016 2015'.split()]].apply(np.mean, axis=1)
+deaths_headlines['previous_mean'] = deaths_headlines[[int(y) for y in '2019 2018 2017 2016 2015'.split()]].apply(np.mean, axis=1)
+deaths_headlines
+```
+
+```python Collapsed="false"
+deaths_headlines[[2020, 2019, 2018, 2017, 2016, 2015]].plot(figsize=(14, 8))
+```
+
+```python Collapsed="false"
+deaths_headlines[[2020, 'previous_mean']].plot(figsize=(10, 8))
+```
+
+```python Collapsed="false"
+deaths_headlines_i.plot()
+```
+
+```python
+deaths_headlines[2020].sum() - deaths_headlines.previous_mean.sum()
+```
+
+```python Collapsed="false"
+# Radar plot code taken from example at https://stackoverflow.com/questions/42878485/getting-matplotlib-radar-plot-with-pandas#
+
+dhna = deaths_headlines.dropna()
+
+fig = plt.figure(figsize=(10, 10))
+ax = fig.add_subplot(111, projection="polar")
+
+theta = np.roll(
+ np.flip(
+ np.arange(len(dhna))/float(len(dhna))*2.*np.pi),
+ 14)
+# l15, = ax.plot(theta, deaths_headlines['total_2015'], color="#b56363", label="2015") # 0
+# l16, = ax.plot(theta, deaths_headlines['total_2016'], color="#a4b563", label="2016") # 72
+# l17, = ax.plot(theta, deaths_headlines['total_2017'], color="#63b584", label="2017") # 144
+# l18, = ax.plot(theta, deaths_headlines['total_2018'], color="#6384b5", label="2018") # 216
+# l19, = ax.plot(theta, deaths_headlines['total_2019'], color="#a4635b", label="2019") # 288
+l15, = ax.plot(theta, dhna[2015], color="#e47d7d", label="2015") # 0
+l16, = ax.plot(theta, dhna[2016], color="#afc169", label="2016") # 72 , d0e47d
+l17, = ax.plot(theta, dhna[2017], color="#7de4a6", label="2017") # 144
+l18, = ax.plot(theta, dhna[2018], color="#7da6e4", label="2018") # 216
+l19, = ax.plot(theta, dhna[2019], color="#d07de4", label="2019") # 288
+
+lmean, = ax.plot(theta, dhna['previous_mean'], color="black", linestyle='dashed', label="mean")
+
+l20, = ax.plot(theta, dhna[2020], color="red", label="2020")
+
+# deaths_headlines.total_2019.plot(ax=ax)
+
+def _closeline(line):
+ x, y = line.get_data()
+ x = np.concatenate((x, [x[0]]))
+ y = np.concatenate((y, [y[0]]))
+ line.set_data(x, y)
+
+[_closeline(l) for l in [l19, l18, l17, l16, l15, lmean]]
+
+
+ax.set_xticks(theta)
+ax.set_xticklabels(dhna.index)
+plt.legend()
+plt.title("Deaths by week over years, all UK")
+plt.savefig('deaths-radar.png')
+plt.show()
+```
+
+<!-- #region Collapsed="false" -->
+# Plots for UK nations
+<!-- #endregion -->
+
+```python Collapsed="false"
+# Radar plot code taken from example at https://stackoverflow.com/questions/42878485/getting-matplotlib-radar-plot-with-pandas#
+
+fig = plt.figure(figsize=(10, 10))
+ax = fig.add_subplot(111, projection="polar")
+
+theta = np.roll(
+ np.flip(
+ np.arange(len(deaths_headlines_e))/float(len(deaths_headlines_e))*2.*np.pi),
+ 14)
+l15, = ax.plot(theta, deaths_headlines_e[2015], color="#e47d7d", label="2015") # 0
+l16, = ax.plot(theta, deaths_headlines_e[2016], color="#afc169", label="2016") # 72 , d0e47d
+l17, = ax.plot(theta, deaths_headlines_e[2017], color="#7de4a6", label="2017") # 144
+l18, = ax.plot(theta, deaths_headlines_e[2018], color="#7da6e4", label="2018") # 216
+l19, = ax.plot(theta, deaths_headlines_e[2019], color="#d07de4", label="2019") # 288
+
+lmean, = ax.plot(theta, deaths_headlines_e['previous_mean'], color="black", linestyle='dashed', label="mean")
+
+l20, = ax.plot(theta, deaths_headlines_e[2020], color="red", label="2020")
+
+# deaths_headlines.total_2019.plot(ax=ax)
+
+def _closeline(line):
+ x, y = line.get_data()
+ x = np.concatenate((x, [x[0]]))
+ y = np.concatenate((y, [y[0]]))
+ line.set_data(x, y)
+
+[_closeline(l) for l in [l19, l18, l17, l16, l15, lmean]]
+
+
+ax.set_xticks(theta)
+ax.set_xticklabels(deaths_headlines_e.index)
+plt.legend()
+plt.title("Deaths by week over years, England")
+plt.savefig('deaths-radar_england.png')
+plt.show()
+```
+
+```python Collapsed="false"
+# Radar plot code taken from example at https://stackoverflow.com/questions/42878485/getting-matplotlib-radar-plot-with-pandas#
+
+fig = plt.figure(figsize=(10, 10))
+ax = fig.add_subplot(111, projection="polar")
+
+theta = np.roll(
+ np.flip(
+ np.arange(len(deaths_headlines_w))/float(len(deaths_headlines_w))*2.*np.pi),
+ 14)
+l15, = ax.plot(theta, deaths_headlines_w[2015], color="#e47d7d", label="2015") # 0
+l16, = ax.plot(theta, deaths_headlines_w[2016], color="#afc169", label="2016") # 72 , d0e47d
+l17, = ax.plot(theta, deaths_headlines_w[2017], color="#7de4a6", label="2017") # 144
+l18, = ax.plot(theta, deaths_headlines_w[2018], color="#7da6e4", label="2018") # 216
+l19, = ax.plot(theta, deaths_headlines_w[2019], color="#d07de4", label="2019") # 288
+
+lmean, = ax.plot(theta, deaths_headlines_w['previous_mean'], color="black", linestyle='dashed', label="mean")
+
+l20, = ax.plot(theta, deaths_headlines_w[2020], color="red", label="2020")
+
+
+def _closeline(line):
+ x, y = line.get_data()
+ x = np.concatenate((x, [x[0]]))
+ y = np.concatenate((y, [y[0]]))
+ line.set_data(x, y)
+
+[_closeline(l) for l in [l19, l18, l17, l16, l15, lmean]]
+
+
+ax.set_xticks(theta)
+ax.set_xticklabels(deaths_headlines_w.index)
+plt.legend()
+plt.title("Deaths by week over years, Wales")
+plt.savefig('deaths-radar_wales.png')
+plt.show()
+```
+
+```python Collapsed="false"
+# Radar plot code taken from example at https://stackoverflow.com/questions/42878485/getting-matplotlib-radar-plot-with-pandas#
+
+fig = plt.figure(figsize=(10, 10))
+ax = fig.add_subplot(111, projection="polar")
+
+theta = np.roll(
+ np.flip(
+ np.arange(len(deaths_headlines_s))/float(len(deaths_headlines_s))*2.*np.pi),
+ 14)
+l15, = ax.plot(theta, deaths_headlines_s[2015], color="#e47d7d", label="2015") # 0
+l16, = ax.plot(theta, deaths_headlines_s[2016], color="#afc169", label="2016") # 72 , d0e47d
+l17, = ax.plot(theta, deaths_headlines_s[2017], color="#7de4a6", label="2017") # 144
+l18, = ax.plot(theta, deaths_headlines_s[2018], color="#7da6e4", label="2018") # 216
+l19, = ax.plot(theta, deaths_headlines_s[2019], color="#d07de4", label="2019") # 288
+
+lmean, = ax.plot(theta, deaths_headlines_s['previous_mean'], color="black", linestyle='dashed', label="mean")
+
+l20, = ax.plot(theta, deaths_headlines_s[2020], color="red", label="2020")
+
+
+def _closeline(line):
+ x, y = line.get_data()
+ x = np.concatenate((x, [x[0]]))
+ y = np.concatenate((y, [y[0]]))
+ line.set_data(x, y)
+
+[_closeline(l) for l in [l19, l18, l17, l16, l15, lmean]]
+
+
+ax.set_xticks(theta)
+ax.set_xticklabels(deaths_headlines_s.index)
+plt.legend()
+plt.title("Deaths by week over years, Scotland")
+plt.savefig('deaths-radar_scotland.png')
+plt.show()
+```
+
+```python Collapsed="false"
+# Radar plot code taken from example at https://stackoverflow.com/questions/42878485/getting-matplotlib-radar-plot-with-pandas#
+
+fig = plt.figure(figsize=(10, 10))
+ax = fig.add_subplot(111, projection="polar")
+
+theta = np.roll(
+ np.flip(
+ np.arange(len(deaths_headlines_i))/float(len(deaths_headlines_i))*2.*np.pi),
+ 14)
+l15, = ax.plot(theta, deaths_headlines_i[2015], color="#e47d7d", label="2015") # 0
+l16, = ax.plot(theta, deaths_headlines_i[2016], color="#afc169", label="2016") # 72 , d0e47d
+l17, = ax.plot(theta, deaths_headlines_i[2017], color="#7de4a6", label="2017") # 144
+l18, = ax.plot(theta, deaths_headlines_i[2018], color="#7da6e4", label="2018") # 216
+l19, = ax.plot(theta, deaths_headlines_i[2019], color="#d07de4", label="2019") # 288
+
+lmean, = ax.plot(theta, deaths_headlines_i['previous_mean'], color="black", linestyle='dashed', label="mean")
+
+l20, = ax.plot(theta, deaths_headlines_i[2020], color="red", label="2020")
+
+
+def _closeline(line):
+ x, y = line.get_data()
+ x = np.concatenate((x, [x[0]]))
+ y = np.concatenate((y, [y[0]]))
+ line.set_data(x, y)
+
+[_closeline(l) for l in [l19, l18, l17, l16, l15, lmean]]
+
+
+ax.set_xticks(theta)
+ax.set_xticklabels(deaths_headlines_i.index)
+plt.legend()
+plt.title("Deaths by week over years, Northern Ireland")
+plt.savefig('deaths-radar_northern_ireland.png')
+plt.show()
+```
+
+```python Collapsed="false"
+
+```
+
+```python Collapsed="false"
+
+```
+++ /dev/null
-{
- "cells": [
- {
- "cell_type": "code",
- "execution_count": 23,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "import itertools\n",
- "import collections\n",
- "import json\n",
- "import pandas as pd\n",
- "import numpy as np\n",
- "from scipy.stats import gmean\n",
- "import datetime\n",
- "\n",
- "import matplotlib as mpl\n",
- "import matplotlib.pyplot as plt\n",
- "%matplotlib inline"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 66,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
- " .dataframe tbody tr th:only-of-type {\n",
- " vertical-align: middle;\n",
- " }\n",
- "\n",
- " .dataframe tbody tr th {\n",
- " vertical-align: top;\n",
- " }\n",
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- " .dataframe thead th {\n",
- " text-align: right;\n",
- " }\n",
- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>cases</th>\n",
- " <th>deaths</th>\n",
- " <th>cases_culm</th>\n",
- " <th>deaths_culm</th>\n",
- " <th>cases_diff</th>\n",
- " <th>deaths_diff</th>\n",
- " <th>cases_m7</th>\n",
- " <th>deaths_m7</th>\n",
- " <th>deaths_g4</th>\n",
- " <th>deaths_g7</th>\n",
- " <th>doubling_time</th>\n",
- " <th>doubling_time_7</th>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>dateRep</th>\n",
- " <th></th>\n",
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- " <th></th>\n",
- " <th></th>\n",
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- " <th></th>\n",
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- " <th></th>\n",
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- " <td>2019-12-31</td>\n",
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- " <td>61014</td>\n",
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- " <td>17271</td>\n",
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- " <tr>\n",
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- " <td>14718</td>\n",
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- " <tr>\n",
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- "<p>346 rows × 12 columns</p>\n",
- "</div>"
- ],
- "text/plain": [
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- "2019-12-31 0 0 0 0 NaN NaN \n",
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- "2020-12-10 16578 533 1766819 62566 4297.0 -66.0 \n",
- "\n",
- " cases_m7 deaths_m7 deaths_g4 deaths_g7 doubling_time \\\n",
- "dateRep \n",
- "2019-12-31 0.000000 0.000000 0.000000 0.000000 NaN \n",
- "2020-01-01 0.000000 0.000000 0.000000 0.000000 NaN \n",
- "2020-01-02 0.000000 0.000000 0.000000 0.000000 NaN \n",
- "2020-01-03 0.000000 0.000000 0.000000 0.000000 NaN \n",
- "2020-01-04 0.000000 0.000000 0.000000 0.000000 NaN \n",
- "... ... ... ... ... ... \n",
- "2020-12-06 14399.857143 426.285714 481.336835 391.619248 88.209086 \n",
- "2020-12-07 15130.714286 428.571429 371.927543 395.655665 114.486195 \n",
- "2020-12-08 15471.857143 426.571429 305.719899 391.637191 139.633275 \n",
- "2020-12-09 15307.857143 426.000000 319.207273 391.264999 135.048719 \n",
- "2020-12-10 15366.142857 409.571429 343.603005 380.495816 126.560073 \n",
- "\n",
- " doubling_time_7 \n",
- "dateRep \n",
- "2019-12-31 NaN \n",
- "2020-01-01 NaN \n",
- "2020-01-02 NaN \n",
- "2020-01-03 NaN \n",
- "2020-01-04 NaN \n",
- "... ... \n",
- "2020-12-06 108.338041 \n",
- "2020-12-07 107.641011 \n",
- "2020-12-08 109.076442 \n",
- "2020-12-09 110.241037 \n",
- "2020-12-10 114.322369 \n",
- "\n",
- "[346 rows x 12 columns]"
- ]
- },
- "execution_count": 66,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "data_by_day = pd.read_csv('data_by_day_uk.csv', index_col='dateRep', parse_dates=True)\n",
- "data_by_day"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 67,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
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- " <th>total_2020</th>\n",
- " <th>total_2019</th>\n",
- " <th>total_2018</th>\n",
- " <th>total_2017</th>\n",
- " <th>total_2016</th>\n",
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- " <td>2020-01-03</td>\n",
- " <td>13768.0</td>\n",
- " <td>12424.0</td>\n",
- " <td>14701.0</td>\n",
- " <td>13612.0</td>\n",
- " <td>14863.0</td>\n",
- " <td>13751</td>\n",
- " <td>13870.2</td>\n",
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- " <tr>\n",
- " <td>2020-01-10</td>\n",
- " <td>16020.0</td>\n",
- " <td>14487.0</td>\n",
- " <td>17430.0</td>\n",
- " <td>15528.0</td>\n",
- " <td>13154.0</td>\n",
- " <td>18318</td>\n",
- " <td>15783.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-01-17</td>\n",
- " <td>14723.0</td>\n",
- " <td>13545.0</td>\n",
- " <td>16355.0</td>\n",
- " <td>15231.0</td>\n",
- " <td>13060.0</td>\n",
- " <td>16738</td>\n",
- " <td>14985.8</td>\n",
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- " <tr>\n",
- " <td>2020-01-24</td>\n",
- " <td>13429.0</td>\n",
- " <td>13283.0</td>\n",
- " <td>15971.0</td>\n",
- " <td>14461.0</td>\n",
- " <td>12859.0</td>\n",
- " <td>15712</td>\n",
- " <td>14457.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-01-31</td>\n",
- " <td>13123.0</td>\n",
- " <td>12799.0</td>\n",
- " <td>15087.0</td>\n",
- " <td>14188.0</td>\n",
- " <td>12571.0</td>\n",
- " <td>14560</td>\n",
- " <td>13841.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-02-07</td>\n",
- " <td>12534.0</td>\n",
- " <td>13222.0</td>\n",
- " <td>14111.0</td>\n",
- " <td>13805.0</td>\n",
- " <td>12697.0</td>\n",
- " <td>13730</td>\n",
- " <td>13513.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-02-14</td>\n",
- " <td>12412.0</td>\n",
- " <td>13347.0</td>\n",
- " <td>13925.0</td>\n",
- " <td>13212.0</td>\n",
- " <td>12016.0</td>\n",
- " <td>13510</td>\n",
- " <td>13202.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-02-21</td>\n",
- " <td>12300.0</td>\n",
- " <td>12877.0</td>\n",
- " <td>13753.0</td>\n",
- " <td>13330.0</td>\n",
- " <td>12718.0</td>\n",
- " <td>13071</td>\n",
- " <td>13149.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-02-28</td>\n",
- " <td>12334.0</td>\n",
- " <td>12479.0</td>\n",
- " <td>12190.0</td>\n",
- " <td>12819.0</td>\n",
- " <td>12733.0</td>\n",
- " <td>13181</td>\n",
- " <td>12680.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-03-06</td>\n",
- " <td>12415.0</td>\n",
- " <td>12396.0</td>\n",
- " <td>14859.0</td>\n",
- " <td>12580.0</td>\n",
- " <td>12493.0</td>\n",
- " <td>13007</td>\n",
- " <td>13067.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-03-13</td>\n",
- " <td>12499.0</td>\n",
- " <td>12018.0</td>\n",
- " <td>14367.0</td>\n",
- " <td>12089.0</td>\n",
- " <td>12489.0</td>\n",
- " <td>12475</td>\n",
- " <td>12687.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-03-20</td>\n",
- " <td>12112.0</td>\n",
- " <td>11797.0</td>\n",
- " <td>13397.0</td>\n",
- " <td>11833.0</td>\n",
- " <td>10983.0</td>\n",
- " <td>12027</td>\n",
- " <td>12007.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-03-27</td>\n",
- " <td>12507.0</td>\n",
- " <td>11260.0</td>\n",
- " <td>11310.0</td>\n",
- " <td>11453.0</td>\n",
- " <td>11738.0</td>\n",
- " <td>11987</td>\n",
- " <td>11549.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-04-03</td>\n",
- " <td>18565.0</td>\n",
- " <td>11445.0</td>\n",
- " <td>12272.0</td>\n",
- " <td>11305.0</td>\n",
- " <td>13060.0</td>\n",
- " <td>10325</td>\n",
- " <td>11681.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-04-10</td>\n",
- " <td>20929.0</td>\n",
- " <td>11661.0</td>\n",
- " <td>13843.0</td>\n",
- " <td>9761.0</td>\n",
- " <td>12757.0</td>\n",
- " <td>11575</td>\n",
- " <td>11919.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-04-17</td>\n",
- " <td>24691.0</td>\n",
- " <td>10243.0</td>\n",
- " <td>12639.0</td>\n",
- " <td>11000.0</td>\n",
- " <td>12310.0</td>\n",
- " <td>13061</td>\n",
- " <td>11850.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-04-24</td>\n",
- " <td>24303.0</td>\n",
- " <td>11452.0</td>\n",
- " <td>11596.0</td>\n",
- " <td>12356.0</td>\n",
- " <td>11795.0</td>\n",
- " <td>12023</td>\n",
- " <td>11844.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-05-01</td>\n",
- " <td>20059.0</td>\n",
- " <td>12695.0</td>\n",
- " <td>11538.0</td>\n",
- " <td>10372.0</td>\n",
- " <td>10401.0</td>\n",
- " <td>11586</td>\n",
- " <td>11318.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-05-08</td>\n",
- " <td>14428.0</td>\n",
- " <td>10361.0</td>\n",
- " <td>9821.0</td>\n",
- " <td>12114.0</td>\n",
- " <td>12002.0</td>\n",
- " <td>10138</td>\n",
- " <td>10887.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-05-15</td>\n",
- " <td>16390.0</td>\n",
- " <td>11717.0</td>\n",
- " <td>11386.0</td>\n",
- " <td>11718.0</td>\n",
- " <td>11222.0</td>\n",
- " <td>11692</td>\n",
- " <td>11547.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-05-22</td>\n",
- " <td>13839.0</td>\n",
- " <td>11653.0</td>\n",
- " <td>10974.0</td>\n",
- " <td>11431.0</td>\n",
- " <td>11013.0</td>\n",
- " <td>11334</td>\n",
- " <td>11281.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-05-29</td>\n",
- " <td>11265.0</td>\n",
- " <td>9534.0</td>\n",
- " <td>9397.0</td>\n",
- " <td>9603.0</td>\n",
- " <td>9192.0</td>\n",
- " <td>9514</td>\n",
- " <td>9448.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-06-05</td>\n",
- " <td>12106.0</td>\n",
- " <td>11461.0</td>\n",
- " <td>11259.0</td>\n",
- " <td>11134.0</td>\n",
- " <td>11171.0</td>\n",
- " <td>11603</td>\n",
- " <td>11325.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-06-12</td>\n",
- " <td>11302.0</td>\n",
- " <td>10754.0</td>\n",
- " <td>10535.0</td>\n",
- " <td>10698.0</td>\n",
- " <td>10673.0</td>\n",
- " <td>10858</td>\n",
- " <td>10703.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-06-19</td>\n",
- " <td>10694.0</td>\n",
- " <td>10807.0</td>\n",
- " <td>10514.0</td>\n",
- " <td>10930.0</td>\n",
- " <td>10611.0</td>\n",
- " <td>10629</td>\n",
- " <td>10698.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-06-26</td>\n",
- " <td>10282.0</td>\n",
- " <td>10824.0</td>\n",
- " <td>10529.0</td>\n",
- " <td>10624.0</td>\n",
- " <td>10526.0</td>\n",
- " <td>10525</td>\n",
- " <td>10605.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-07-03</td>\n",
- " <td>10412.0</td>\n",
- " <td>10328.0</td>\n",
- " <td>10565.0</td>\n",
- " <td>10565.0</td>\n",
- " <td>10412.0</td>\n",
- " <td>10545</td>\n",
- " <td>10483.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-07-10</td>\n",
- " <td>9941.0</td>\n",
- " <td>10512.0</td>\n",
- " <td>10467.0</td>\n",
- " <td>10643.0</td>\n",
- " <td>10647.0</td>\n",
- " <td>10278</td>\n",
- " <td>10509.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-07-17</td>\n",
- " <td>10096.0</td>\n",
- " <td>10324.0</td>\n",
- " <td>10353.0</td>\n",
- " <td>10426.0</td>\n",
- " <td>10672.0</td>\n",
- " <td>10028</td>\n",
- " <td>10360.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-07-24</td>\n",
- " <td>10159.0</td>\n",
- " <td>10422.0</td>\n",
- " <td>10356.0</td>\n",
- " <td>10147.0</td>\n",
- " <td>10612.0</td>\n",
- " <td>10021</td>\n",
- " <td>10311.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-07-31</td>\n",
- " <td>10262.0</td>\n",
- " <td>10564.0</td>\n",
- " <td>10408.0</td>\n",
- " <td>10239.0</td>\n",
- " <td>10433.0</td>\n",
- " <td>9893</td>\n",
- " <td>10307.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-08-07</td>\n",
- " <td>10236.0</td>\n",
- " <td>10406.0</td>\n",
- " <td>10542.0</td>\n",
- " <td>10278.0</td>\n",
- " <td>10439.0</td>\n",
- " <td>10153</td>\n",
- " <td>10363.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-08-14</td>\n",
- " <td>10592.0</td>\n",
- " <td>10405.0</td>\n",
- " <td>10091.0</td>\n",
- " <td>10569.0</td>\n",
- " <td>10312.0</td>\n",
- " <td>10352</td>\n",
- " <td>10345.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-08-21</td>\n",
- " <td>10990.0</td>\n",
- " <td>10279.0</td>\n",
- " <td>10199.0</td>\n",
- " <td>10698.0</td>\n",
- " <td>10637.0</td>\n",
- " <td>10354</td>\n",
- " <td>10433.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-08-28</td>\n",
- " <td>10364.0</td>\n",
- " <td>9478.0</td>\n",
- " <td>9046.0</td>\n",
- " <td>9372.0</td>\n",
- " <td>9226.0</td>\n",
- " <td>10239</td>\n",
- " <td>9472.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-09-04</td>\n",
- " <td>9023.0</td>\n",
- " <td>10918.0</td>\n",
- " <td>10680.0</td>\n",
- " <td>10781.0</td>\n",
- " <td>10681.0</td>\n",
- " <td>9092</td>\n",
- " <td>10430.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-09-11</td>\n",
- " <td>11176.0</td>\n",
- " <td>10892.0</td>\n",
- " <td>10496.0</td>\n",
- " <td>10692.0</td>\n",
- " <td>10401.0</td>\n",
- " <td>10573</td>\n",
- " <td>10610.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-09-18</td>\n",
- " <td>10797.0</td>\n",
- " <td>10792.0</td>\n",
- " <td>10498.0</td>\n",
- " <td>10875.0</td>\n",
- " <td>10183.0</td>\n",
- " <td>10381</td>\n",
- " <td>10545.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-09-25</td>\n",
- " <td>10890.0</td>\n",
- " <td>10954.0</td>\n",
- " <td>10463.0</td>\n",
- " <td>11027.0</td>\n",
- " <td>10278.0</td>\n",
- " <td>10826</td>\n",
- " <td>10709.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-10-02</td>\n",
- " <td>11468.0</td>\n",
- " <td>11113.0</td>\n",
- " <td>10869.0</td>\n",
- " <td>11101.0</td>\n",
- " <td>10671.0</td>\n",
- " <td>10700</td>\n",
- " <td>10890.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-10-09</td>\n",
- " <td>11373.0</td>\n",
- " <td>11403.0</td>\n",
- " <td>11048.0</td>\n",
- " <td>11357.0</td>\n",
- " <td>11016.0</td>\n",
- " <td>11108</td>\n",
- " <td>11186.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-10-16</td>\n",
- " <td>11943.0</td>\n",
- " <td>11625.0</td>\n",
- " <td>11177.0</td>\n",
- " <td>11389.0</td>\n",
- " <td>11134.0</td>\n",
- " <td>10799</td>\n",
- " <td>11224.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-10-23</td>\n",
- " <td>12317.0</td>\n",
- " <td>11415.0</td>\n",
- " <td>10885.0</td>\n",
- " <td>11152.0</td>\n",
- " <td>11048.0</td>\n",
- " <td>10966</td>\n",
- " <td>11093.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-10-30</td>\n",
- " <td>12517.0</td>\n",
- " <td>11567.0</td>\n",
- " <td>10866.0</td>\n",
- " <td>11366.0</td>\n",
- " <td>11463.0</td>\n",
- " <td>11026</td>\n",
- " <td>11257.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-11-06</td>\n",
- " <td>13448.0</td>\n",
- " <td>12177.0</td>\n",
- " <td>11588.0</td>\n",
- " <td>11767.0</td>\n",
- " <td>11803.0</td>\n",
- " <td>11312</td>\n",
- " <td>11729.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-11-13</td>\n",
- " <td>13798.0</td>\n",
- " <td>12146.0</td>\n",
- " <td>11552.0</td>\n",
- " <td>11773.0</td>\n",
- " <td>12209.0</td>\n",
- " <td>11338</td>\n",
- " <td>11803.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-11-20</td>\n",
- " <td>14291.0</td>\n",
- " <td>12472.0</td>\n",
- " <td>11289.0</td>\n",
- " <td>12102.0</td>\n",
- " <td>12064.0</td>\n",
- " <td>11178</td>\n",
- " <td>11821.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-11-27</td>\n",
- " <td>14132.0</td>\n",
- " <td>12455.0</td>\n",
- " <td>11392.0</td>\n",
- " <td>12046.0</td>\n",
- " <td>11901.0</td>\n",
- " <td>11216</td>\n",
- " <td>11802.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-12-04</td>\n",
- " <td>NaN</td>\n",
- " <td>12275.0</td>\n",
- " <td>11687.0</td>\n",
- " <td>12342.0</td>\n",
- " <td>12733.0</td>\n",
- " <td>11748</td>\n",
- " <td>12157.0</td>\n",
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- " <td>2020-12-11</td>\n",
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- " <td>12853.0</td>\n",
- " <td>12078.0</td>\n",
- " <td>12924.0</td>\n",
- " <td>12076.0</td>\n",
- " <td>11713</td>\n",
- " <td>12328.8</td>\n",
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- " <td>14308.0</td>\n",
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- " <td>9231.2</td>\n",
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- " total_2020 total_2019 total_2018 total_2017 total_2016 \\\n",
- "week_ended \n",
- "2020-01-03 13768.0 12424.0 14701.0 13612.0 14863.0 \n",
- "2020-01-10 16020.0 14487.0 17430.0 15528.0 13154.0 \n",
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- "2020-01-24 13429.0 13283.0 15971.0 14461.0 12859.0 \n",
- "2020-01-31 13123.0 12799.0 15087.0 14188.0 12571.0 \n",
- "2020-02-07 12534.0 13222.0 14111.0 13805.0 12697.0 \n",
- "2020-02-14 12412.0 13347.0 13925.0 13212.0 12016.0 \n",
- "2020-02-21 12300.0 12877.0 13753.0 13330.0 12718.0 \n",
- "2020-02-28 12334.0 12479.0 12190.0 12819.0 12733.0 \n",
- "2020-03-06 12415.0 12396.0 14859.0 12580.0 12493.0 \n",
- "2020-03-13 12499.0 12018.0 14367.0 12089.0 12489.0 \n",
- "2020-03-20 12112.0 11797.0 13397.0 11833.0 10983.0 \n",
- "2020-03-27 12507.0 11260.0 11310.0 11453.0 11738.0 \n",
- "2020-04-03 18565.0 11445.0 12272.0 11305.0 13060.0 \n",
- "2020-04-10 20929.0 11661.0 13843.0 9761.0 12757.0 \n",
- "2020-04-17 24691.0 10243.0 12639.0 11000.0 12310.0 \n",
- "2020-04-24 24303.0 11452.0 11596.0 12356.0 11795.0 \n",
- "2020-05-01 20059.0 12695.0 11538.0 10372.0 10401.0 \n",
- "2020-05-08 14428.0 10361.0 9821.0 12114.0 12002.0 \n",
- "2020-05-15 16390.0 11717.0 11386.0 11718.0 11222.0 \n",
- "2020-05-22 13839.0 11653.0 10974.0 11431.0 11013.0 \n",
- "2020-05-29 11265.0 9534.0 9397.0 9603.0 9192.0 \n",
- "2020-06-05 12106.0 11461.0 11259.0 11134.0 11171.0 \n",
- "2020-06-12 11302.0 10754.0 10535.0 10698.0 10673.0 \n",
- "2020-06-19 10694.0 10807.0 10514.0 10930.0 10611.0 \n",
- "2020-06-26 10282.0 10824.0 10529.0 10624.0 10526.0 \n",
- "2020-07-03 10412.0 10328.0 10565.0 10565.0 10412.0 \n",
- "2020-07-10 9941.0 10512.0 10467.0 10643.0 10647.0 \n",
- "2020-07-17 10096.0 10324.0 10353.0 10426.0 10672.0 \n",
- "2020-07-24 10159.0 10422.0 10356.0 10147.0 10612.0 \n",
- "2020-07-31 10262.0 10564.0 10408.0 10239.0 10433.0 \n",
- "2020-08-07 10236.0 10406.0 10542.0 10278.0 10439.0 \n",
- "2020-08-14 10592.0 10405.0 10091.0 10569.0 10312.0 \n",
- "2020-08-21 10990.0 10279.0 10199.0 10698.0 10637.0 \n",
- "2020-08-28 10364.0 9478.0 9046.0 9372.0 9226.0 \n",
- "2020-09-04 9023.0 10918.0 10680.0 10781.0 10681.0 \n",
- "2020-09-11 11176.0 10892.0 10496.0 10692.0 10401.0 \n",
- "2020-09-18 10797.0 10792.0 10498.0 10875.0 10183.0 \n",
- "2020-09-25 10890.0 10954.0 10463.0 11027.0 10278.0 \n",
- "2020-10-02 11468.0 11113.0 10869.0 11101.0 10671.0 \n",
- "2020-10-09 11373.0 11403.0 11048.0 11357.0 11016.0 \n",
- "2020-10-16 11943.0 11625.0 11177.0 11389.0 11134.0 \n",
- "2020-10-23 12317.0 11415.0 10885.0 11152.0 11048.0 \n",
- "2020-10-30 12517.0 11567.0 10866.0 11366.0 11463.0 \n",
- "2020-11-06 13448.0 12177.0 11588.0 11767.0 11803.0 \n",
- "2020-11-13 13798.0 12146.0 11552.0 11773.0 12209.0 \n",
- "2020-11-20 14291.0 12472.0 11289.0 12102.0 12064.0 \n",
- "2020-11-27 14132.0 12455.0 11392.0 12046.0 11901.0 \n",
- "2020-12-04 NaN 12275.0 11687.0 12342.0 12733.0 \n",
- "2020-12-11 NaN 12853.0 12078.0 12924.0 12076.0 \n",
- "2020-12-18 NaN 13566.0 12649.0 14308.0 13137.0 \n",
- "2020-12-25 NaN 8727.0 8384.0 9904.0 9335.0 \n",
- "\n",
- " total_2015 previous_mean \n",
- "week_ended \n",
- "2020-01-03 13751 13870.2 \n",
- "2020-01-10 18318 15783.4 \n",
- "2020-01-17 16738 14985.8 \n",
- "2020-01-24 15712 14457.2 \n",
- "2020-01-31 14560 13841.0 \n",
- "2020-02-07 13730 13513.0 \n",
- "2020-02-14 13510 13202.0 \n",
- "2020-02-21 13071 13149.8 \n",
- "2020-02-28 13181 12680.4 \n",
- "2020-03-06 13007 13067.0 \n",
- "2020-03-13 12475 12687.6 \n",
- "2020-03-20 12027 12007.4 \n",
- "2020-03-27 11987 11549.6 \n",
- "2020-04-03 10325 11681.4 \n",
- "2020-04-10 11575 11919.4 \n",
- "2020-04-17 13061 11850.6 \n",
- "2020-04-24 12023 11844.4 \n",
- "2020-05-01 11586 11318.4 \n",
- "2020-05-08 10138 10887.2 \n",
- "2020-05-15 11692 11547.0 \n",
- "2020-05-22 11334 11281.0 \n",
- "2020-05-29 9514 9448.0 \n",
- "2020-06-05 11603 11325.6 \n",
- "2020-06-12 10858 10703.6 \n",
- "2020-06-19 10629 10698.2 \n",
- "2020-06-26 10525 10605.6 \n",
- "2020-07-03 10545 10483.0 \n",
- "2020-07-10 10278 10509.4 \n",
- "2020-07-17 10028 10360.6 \n",
- "2020-07-24 10021 10311.6 \n",
- "2020-07-31 9893 10307.4 \n",
- "2020-08-07 10153 10363.6 \n",
- "2020-08-14 10352 10345.8 \n",
- "2020-08-21 10354 10433.4 \n",
- "2020-08-28 10239 9472.2 \n",
- "2020-09-04 9092 10430.4 \n",
- "2020-09-11 10573 10610.8 \n",
- "2020-09-18 10381 10545.8 \n",
- "2020-09-25 10826 10709.6 \n",
- "2020-10-02 10700 10890.8 \n",
- "2020-10-09 11108 11186.4 \n",
- "2020-10-16 10799 11224.8 \n",
- "2020-10-23 10966 11093.2 \n",
- "2020-10-30 11026 11257.6 \n",
- "2020-11-06 11312 11729.4 \n",
- "2020-11-13 11338 11803.6 \n",
- "2020-11-20 11178 11821.0 \n",
- "2020-11-27 11216 11802.0 \n",
- "2020-12-04 11748 12157.0 \n",
- "2020-12-11 11713 12328.8 \n",
- "2020-12-18 12136 13159.2 \n",
- "2020-12-25 9806 9231.2 "
- ]
- },
- "execution_count": 67,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "deaths_by_week = pd.read_csv('deaths_by_week.csv', index_col='week_ended', parse_dates=True)\n",
- "deaths_by_week"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 68,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
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- " <th></th>\n",
- " <th>cases</th>\n",
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- " <td>68.000000</td>\n",
- " <td>79.504887</td>\n",
- " <td>24.257733</td>\n",
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- " <td>2020-03-27</td>\n",
- " <td>12291</td>\n",
- " <td>722</td>\n",
- " <td>78855</td>\n",
- " <td>3197</td>\n",
- " <td>1693.0</td>\n",
- " <td>135.0</td>\n",
- " <td>7954.571429</td>\n",
- " <td>384.285714</td>\n",
- " <td>464.807614</td>\n",
- " <td>327.583287</td>\n",
- " <td>3.577040e+01</td>\n",
- " <td>4.797282e+01</td>\n",
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- " <td>2020-04-03</td>\n",
- " <td>25664</td>\n",
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- " <td>15722</td>\n",
- " <td>2221.0</td>\n",
- " <td>476.0</td>\n",
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- " <td>1789.285714</td>\n",
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- " <td>47916</td>\n",
- " <td>218.0</td>\n",
- " <td>459.0</td>\n",
- " <td>30920.285714</td>\n",
- " <td>4599.142857</td>\n",
- " <td>5088.524097</td>\n",
- " <td>4416.476344</td>\n",
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- " <td>29808</td>\n",
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- " <td>92954</td>\n",
- " <td>-66.0</td>\n",
- " <td>-80.0</td>\n",
- " <td>31553.857143</td>\n",
- " <td>6434.000000</td>\n",
- " <td>6392.991495</td>\n",
- " <td>6269.311492</td>\n",
- " <td>7.441501e+01</td>\n",
- " <td>7.427834e+01</td>\n",
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- " <tr>\n",
- " <td>2020-04-24</td>\n",
- " <td>33923</td>\n",
- " <td>5773</td>\n",
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- " <td>135712</td>\n",
- " <td>422.0</td>\n",
- " <td>-354.0</td>\n",
- " <td>32290.857143</td>\n",
- " <td>6108.285714</td>\n",
- " <td>5745.091557</td>\n",
- " <td>5865.493228</td>\n",
- " <td>1.196415e+02</td>\n",
- " <td>1.151654e+02</td>\n",
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- " <tr>\n",
- " <td>2020-05-01</td>\n",
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- " <td>-48.0</td>\n",
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- " <td>4695.525928</td>\n",
- " <td>4919.730986</td>\n",
- " <td>1.890979e+02</td>\n",
- " <td>1.744465e+02</td>\n",
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- " <td>201454</td>\n",
- " <td>-1615.0</td>\n",
- " <td>-176.0</td>\n",
- " <td>30088.714286</td>\n",
- " <td>4100.142857</td>\n",
- " <td>3669.542328</td>\n",
- " <td>3786.175573</td>\n",
- " <td>2.839767e+02</td>\n",
- " <td>2.627153e+02</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-05-15</td>\n",
- " <td>21611</td>\n",
- " <td>2671</td>\n",
- " <td>1481545</td>\n",
- " <td>222871</td>\n",
- " <td>-520.0</td>\n",
- " <td>-106.0</td>\n",
- " <td>22969.428571</td>\n",
- " <td>3059.571429</td>\n",
- " <td>2677.524456</td>\n",
- " <td>2785.255471</td>\n",
- " <td>4.329725e+02</td>\n",
- " <td>3.948088e+02</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-05-22</td>\n",
- " <td>17430</td>\n",
- " <td>2075</td>\n",
- " <td>1614993</td>\n",
- " <td>239208</td>\n",
- " <td>-589.0</td>\n",
- " <td>-79.0</td>\n",
- " <td>19064.000000</td>\n",
- " <td>2333.857143</td>\n",
- " <td>1947.928544</td>\n",
- " <td>2022.217125</td>\n",
- " <td>6.541432e+02</td>\n",
- " <td>5.836862e+02</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-05-29</td>\n",
- " <td>12658</td>\n",
- " <td>1890</td>\n",
- " <td>1722647</td>\n",
- " <td>252717</td>\n",
- " <td>-883.0</td>\n",
- " <td>70.0</td>\n",
- " <td>15379.142857</td>\n",
- " <td>1929.857143</td>\n",
- " <td>1732.798698</td>\n",
- " <td>1728.444472</td>\n",
- " <td>7.391467e+02</td>\n",
- " <td>7.173609e+02</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-06-05</td>\n",
- " <td>9772</td>\n",
- " <td>1207</td>\n",
- " <td>1797791</td>\n",
- " <td>263570</td>\n",
- " <td>-479.0</td>\n",
- " <td>-213.0</td>\n",
- " <td>10734.857143</td>\n",
- " <td>1550.428571</td>\n",
- " <td>1257.247277</td>\n",
- " <td>1322.817820</td>\n",
- " <td>1.135760e+03</td>\n",
- " <td>9.930720e+02</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-06-12</td>\n",
- " <td>7341</td>\n",
- " <td>937</td>\n",
- " <td>1855247</td>\n",
- " <td>271259</td>\n",
- " <td>-157.0</td>\n",
- " <td>-54.0</td>\n",
- " <td>8208.000000</td>\n",
- " <td>1098.428571</td>\n",
- " <td>916.682753</td>\n",
- " <td>940.775215</td>\n",
- " <td>1.593893e+03</td>\n",
- " <td>1.416581e+03</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-06-19</td>\n",
- " <td>6939</td>\n",
- " <td>591</td>\n",
- " <td>1905027</td>\n",
- " <td>276164</td>\n",
- " <td>-186.0</td>\n",
- " <td>-9.0</td>\n",
- " <td>7111.428571</td>\n",
- " <td>700.714286</td>\n",
- " <td>563.512973</td>\n",
- " <td>593.415144</td>\n",
- " <td>2.647618e+03</td>\n",
- " <td>2.299498e+03</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-06-26</td>\n",
- " <td>5899</td>\n",
- " <td>480</td>\n",
- " <td>1950419</td>\n",
- " <td>279624</td>\n",
- " <td>-235.0</td>\n",
- " <td>32.0</td>\n",
- " <td>6484.571429</td>\n",
- " <td>494.285714</td>\n",
- " <td>416.381335</td>\n",
- " <td>421.990143</td>\n",
- " <td>3.585584e+03</td>\n",
- " <td>3.235524e+03</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-07-03</td>\n",
- " <td>4485</td>\n",
- " <td>360</td>\n",
- " <td>1985555</td>\n",
- " <td>282616</td>\n",
- " <td>-127.0</td>\n",
- " <td>-58.0</td>\n",
- " <td>5019.428571</td>\n",
- " <td>427.428571</td>\n",
- " <td>376.617800</td>\n",
- " <td>366.017611</td>\n",
- " <td>4.038218e+03</td>\n",
- " <td>3.764706e+03</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-07-10</td>\n",
- " <td>4131</td>\n",
- " <td>253</td>\n",
- " <td>2014685</td>\n",
- " <td>284705</td>\n",
- " <td>42.0</td>\n",
- " <td>-10.0</td>\n",
- " <td>4161.428571</td>\n",
- " <td>298.428571</td>\n",
- " <td>248.675598</td>\n",
- " <td>258.540406</td>\n",
- " <td>6.117937e+03</td>\n",
- " <td>5.408341e+03</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-07-17</td>\n",
- " <td>4266</td>\n",
- " <td>164</td>\n",
- " <td>2044059</td>\n",
- " <td>286128</td>\n",
- " <td>79.0</td>\n",
- " <td>-7.0</td>\n",
- " <td>4196.285714</td>\n",
- " <td>203.285714</td>\n",
- " <td>166.283290</td>\n",
- " <td>171.181184</td>\n",
- " <td>9.430925e+03</td>\n",
- " <td>8.243797e+03</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-07-24</td>\n",
- " <td>4496</td>\n",
- " <td>107</td>\n",
- " <td>2074665</td>\n",
- " <td>287092</td>\n",
- " <td>1.0</td>\n",
- " <td>-15.0</td>\n",
- " <td>4372.285714</td>\n",
- " <td>137.714286</td>\n",
- " <td>118.278798</td>\n",
- " <td>120.912224</td>\n",
- " <td>1.271636e+04</td>\n",
- " <td>1.165442e+04</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-07-31</td>\n",
- " <td>3869</td>\n",
- " <td>113</td>\n",
- " <td>2104314</td>\n",
- " <td>287889</td>\n",
- " <td>73.0</td>\n",
- " <td>-9.0</td>\n",
- " <td>4235.571429</td>\n",
- " <td>113.857143</td>\n",
- " <td>79.927160</td>\n",
- " <td>82.049806</td>\n",
- " <td>inf</td>\n",
- " <td>inf</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-08-07</td>\n",
- " <td>5833</td>\n",
- " <td>89</td>\n",
- " <td>2139062</td>\n",
- " <td>288530</td>\n",
- " <td>104.0</td>\n",
- " <td>18.0</td>\n",
- " <td>4964.000000</td>\n",
- " <td>91.571429</td>\n",
- " <td>26.017737</td>\n",
- " <td>9.273227</td>\n",
- " <td>inf</td>\n",
- " <td>inf</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-08-14</td>\n",
- " <td>6793</td>\n",
- " <td>89</td>\n",
- " <td>2182748</td>\n",
- " <td>289102</td>\n",
- " <td>179.0</td>\n",
- " <td>0.0</td>\n",
- " <td>6240.857143</td>\n",
- " <td>81.714286</td>\n",
- " <td>77.224731</td>\n",
- " <td>64.479846</td>\n",
- " <td>2.011138e+04</td>\n",
- " <td>2.245319e+04</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-08-21</td>\n",
- " <td>7353</td>\n",
- " <td>56</td>\n",
- " <td>2235156</td>\n",
- " <td>289635</td>\n",
- " <td>53.0</td>\n",
- " <td>-12.0</td>\n",
- " <td>7486.857143</td>\n",
- " <td>76.142857</td>\n",
- " <td>57.415692</td>\n",
- " <td>61.994254</td>\n",
- " <td>2.822494e+04</td>\n",
- " <td>2.333077e+04</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-08-28</td>\n",
- " <td>8088</td>\n",
- " <td>74</td>\n",
- " <td>2287182</td>\n",
- " <td>290081</td>\n",
- " <td>340.0</td>\n",
- " <td>6.0</td>\n",
- " <td>7432.285714</td>\n",
- " <td>63.714286</td>\n",
- " <td>54.517208</td>\n",
- " <td>49.287140</td>\n",
- " <td>2.710076e+04</td>\n",
- " <td>2.908195e+04</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-09-04</td>\n",
- " <td>10043</td>\n",
- " <td>50</td>\n",
- " <td>2350991</td>\n",
- " <td>290529</td>\n",
- " <td>213.0</td>\n",
- " <td>1.0</td>\n",
- " <td>9115.571429</td>\n",
- " <td>64.000000</td>\n",
- " <td>45.709346</td>\n",
- " <td>49.612299</td>\n",
- " <td>4.258905e+04</td>\n",
- " <td>3.069208e+04</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-09-11</td>\n",
- " <td>17727</td>\n",
- " <td>81</td>\n",
- " <td>2449684</td>\n",
- " <td>290979</td>\n",
- " <td>1184.0</td>\n",
- " <td>1.0</td>\n",
- " <td>14099.000000</td>\n",
- " <td>64.285714</td>\n",
- " <td>55.103648</td>\n",
- " <td>46.741257</td>\n",
- " <td>2.723477e+04</td>\n",
- " <td>3.156956e+04</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-09-18</td>\n",
- " <td>23476</td>\n",
- " <td>97</td>\n",
- " <td>2600541</td>\n",
- " <td>291555</td>\n",
- " <td>476.0</td>\n",
- " <td>7.0</td>\n",
- " <td>21551.000000</td>\n",
- " <td>82.285714</td>\n",
- " <td>76.375361</td>\n",
- " <td>65.232921</td>\n",
- " <td>2.020206e+04</td>\n",
- " <td>2.224637e+04</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-09-25</td>\n",
- " <td>34749</td>\n",
- " <td>197</td>\n",
- " <td>2798819</td>\n",
- " <td>292645</td>\n",
- " <td>3239.0</td>\n",
- " <td>19.0</td>\n",
- " <td>28325.428571</td>\n",
- " <td>155.714286</td>\n",
- " <td>161.214801</td>\n",
- " <td>143.205548</td>\n",
- " <td>8.901465e+03</td>\n",
- " <td>1.026870e+04</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-10-02</td>\n",
- " <td>43815</td>\n",
- " <td>300</td>\n",
- " <td>3086093</td>\n",
- " <td>294313</td>\n",
- " <td>280.0</td>\n",
- " <td>19.0</td>\n",
- " <td>41039.142857</td>\n",
- " <td>238.285714</td>\n",
- " <td>230.060916</td>\n",
- " <td>211.544534</td>\n",
- " <td>6.473932e+03</td>\n",
- " <td>6.827996e+03</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-10-09</td>\n",
- " <td>101637</td>\n",
- " <td>390</td>\n",
- " <td>3601915</td>\n",
- " <td>296856</td>\n",
- " <td>10626.0</td>\n",
- " <td>18.0</td>\n",
- " <td>73688.857143</td>\n",
- " <td>363.285714</td>\n",
- " <td>349.704548</td>\n",
- " <td>322.563025</td>\n",
- " <td>4.291457e+03</td>\n",
- " <td>4.498907e+03</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-10-16</td>\n",
- " <td>111807</td>\n",
- " <td>701</td>\n",
- " <td>4351113</td>\n",
- " <td>300605</td>\n",
- " <td>1438.0</td>\n",
- " <td>61.0</td>\n",
- " <td>107028.285714</td>\n",
- " <td>535.571429</td>\n",
- " <td>577.496284</td>\n",
- " <td>499.621044</td>\n",
- " <td>2.571463e+03</td>\n",
- " <td>3.038155e+03</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-10-23</td>\n",
- " <td>136845</td>\n",
- " <td>1054</td>\n",
- " <td>5220544</td>\n",
- " <td>306852</td>\n",
- " <td>2260.0</td>\n",
- " <td>51.0</td>\n",
- " <td>124204.428571</td>\n",
- " <td>892.428571</td>\n",
- " <td>903.798899</td>\n",
- " <td>829.790586</td>\n",
- " <td>1.681682e+03</td>\n",
- " <td>1.816643e+03</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-10-30</td>\n",
- " <td>154873</td>\n",
- " <td>1608</td>\n",
- " <td>6278688</td>\n",
- " <td>316205</td>\n",
- " <td>1827.0</td>\n",
- " <td>91.0</td>\n",
- " <td>151163.428571</td>\n",
- " <td>1336.142857</td>\n",
- " <td>1363.375912</td>\n",
- " <td>1244.302740</td>\n",
- " <td>1.144987e+03</td>\n",
- " <td>1.253041e+03</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-11-06</td>\n",
- " <td>157857</td>\n",
- " <td>2165</td>\n",
- " <td>7386321</td>\n",
- " <td>329466</td>\n",
- " <td>1073.0</td>\n",
- " <td>98.0</td>\n",
- " <td>158233.285714</td>\n",
- " <td>1894.428571</td>\n",
- " <td>1869.072858</td>\n",
- " <td>1756.119532</td>\n",
- " <td>8.748452e+02</td>\n",
- " <td>9.175873e+02</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-11-13</td>\n",
- " <td>166998</td>\n",
- " <td>2808</td>\n",
- " <td>8503996</td>\n",
- " <td>346708</td>\n",
- " <td>9332.0</td>\n",
- " <td>185.0</td>\n",
- " <td>159667.857143</td>\n",
- " <td>2463.142857</td>\n",
- " <td>2401.361299</td>\n",
- " <td>2249.701288</td>\n",
- " <td>7.273019e+02</td>\n",
- " <td>7.528714e+02</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-11-20</td>\n",
- " <td>163061</td>\n",
- " <td>2847</td>\n",
- " <td>9716180</td>\n",
- " <td>366945</td>\n",
- " <td>-10555.0</td>\n",
- " <td>-62.0</td>\n",
- " <td>173169.142857</td>\n",
- " <td>2891.000000</td>\n",
- " <td>2708.892132</td>\n",
- " <td>2619.031072</td>\n",
- " <td>6.907600e+02</td>\n",
- " <td>6.823344e+02</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-11-27</td>\n",
- " <td>121306</td>\n",
- " <td>3256</td>\n",
- " <td>10676794</td>\n",
- " <td>388295</td>\n",
- " <td>-5360.0</td>\n",
- " <td>-3.0</td>\n",
- " <td>137230.571429</td>\n",
- " <td>3050.000000</td>\n",
- " <td>2934.861534</td>\n",
- " <td>2753.026893</td>\n",
- " <td>6.765205e+02</td>\n",
- " <td>6.882603e+02</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-12-04</td>\n",
- " <td>99572</td>\n",
- " <td>3082</td>\n",
- " <td>11417933</td>\n",
- " <td>411137</td>\n",
- " <td>-2677.0</td>\n",
- " <td>-84.0</td>\n",
- " <td>105877.000000</td>\n",
- " <td>3263.142857</td>\n",
- " <td>2966.168647</td>\n",
- " <td>2988.661808</td>\n",
- " <td>7.059253e+02</td>\n",
- " <td>6.717400e+02</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-12-11</td>\n",
- " <td>92685</td>\n",
- " <td>2453</td>\n",
- " <td>10374665</td>\n",
- " <td>368909</td>\n",
- " <td>1700.0</td>\n",
- " <td>119.0</td>\n",
- " <td>90123.714286</td>\n",
- " <td>2555.000000</td>\n",
- " <td>2356.150688</td>\n",
- " <td>2352.938908</td>\n",
- " <td>6.829136e+02</td>\n",
- " <td>6.544146e+02</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " cases deaths cases_culm deaths_culm cases_diff deaths_diff \\\n",
- "dateRep \n",
- "2020-01-03 0 0 0 0 0.0 0.0 \n",
- "2020-01-10 0 0 0 0 0.0 0.0 \n",
- "2020-01-17 0 0 0 0 0.0 0.0 \n",
- "2020-01-24 0 0 0 0 0.0 0.0 \n",
- "2020-01-31 0 0 0 0 0.0 0.0 \n",
- "2020-02-07 4 0 18 0 1.0 0.0 \n",
- "2020-02-14 6 0 54 0 -1.0 0.0 \n",
- "2020-02-21 0 0 70 0 0.0 0.0 \n",
- "2020-02-28 12 0 96 0 4.0 0.0 \n",
- "2020-03-06 198 0 681 0 52.0 0.0 \n",
- "2020-03-13 1062 9 4279 31 350.0 2.0 \n",
- "2020-03-20 4144 153 23173 507 593.0 44.0 \n",
- "2020-03-27 12291 722 78855 3197 1693.0 135.0 \n",
- "2020-04-03 25664 2898 217112 15722 2221.0 476.0 \n",
- "2020-04-10 33254 5909 433554 47916 218.0 459.0 \n",
- "2020-04-17 29808 6338 654431 92954 -66.0 -80.0 \n",
- "2020-04-24 33923 5773 880467 135712 422.0 -354.0 \n",
- "2020-05-01 32226 4881 1110138 172753 -45.0 -48.0 \n",
- "2020-05-08 26812 3638 1320759 201454 -1615.0 -176.0 \n",
- "2020-05-15 21611 2671 1481545 222871 -520.0 -106.0 \n",
- "2020-05-22 17430 2075 1614993 239208 -589.0 -79.0 \n",
- "2020-05-29 12658 1890 1722647 252717 -883.0 70.0 \n",
- "2020-06-05 9772 1207 1797791 263570 -479.0 -213.0 \n",
- "2020-06-12 7341 937 1855247 271259 -157.0 -54.0 \n",
- "2020-06-19 6939 591 1905027 276164 -186.0 -9.0 \n",
- "2020-06-26 5899 480 1950419 279624 -235.0 32.0 \n",
- "2020-07-03 4485 360 1985555 282616 -127.0 -58.0 \n",
- "2020-07-10 4131 253 2014685 284705 42.0 -10.0 \n",
- "2020-07-17 4266 164 2044059 286128 79.0 -7.0 \n",
- "2020-07-24 4496 107 2074665 287092 1.0 -15.0 \n",
- "2020-07-31 3869 113 2104314 287889 73.0 -9.0 \n",
- "2020-08-07 5833 89 2139062 288530 104.0 18.0 \n",
- "2020-08-14 6793 89 2182748 289102 179.0 0.0 \n",
- "2020-08-21 7353 56 2235156 289635 53.0 -12.0 \n",
- "2020-08-28 8088 74 2287182 290081 340.0 6.0 \n",
- "2020-09-04 10043 50 2350991 290529 213.0 1.0 \n",
- "2020-09-11 17727 81 2449684 290979 1184.0 1.0 \n",
- "2020-09-18 23476 97 2600541 291555 476.0 7.0 \n",
- "2020-09-25 34749 197 2798819 292645 3239.0 19.0 \n",
- "2020-10-02 43815 300 3086093 294313 280.0 19.0 \n",
- "2020-10-09 101637 390 3601915 296856 10626.0 18.0 \n",
- "2020-10-16 111807 701 4351113 300605 1438.0 61.0 \n",
- "2020-10-23 136845 1054 5220544 306852 2260.0 51.0 \n",
- "2020-10-30 154873 1608 6278688 316205 1827.0 91.0 \n",
- "2020-11-06 157857 2165 7386321 329466 1073.0 98.0 \n",
- "2020-11-13 166998 2808 8503996 346708 9332.0 185.0 \n",
- "2020-11-20 163061 2847 9716180 366945 -10555.0 -62.0 \n",
- "2020-11-27 121306 3256 10676794 388295 -5360.0 -3.0 \n",
- "2020-12-04 99572 3082 11417933 411137 -2677.0 -84.0 \n",
- "2020-12-11 92685 2453 10374665 368909 1700.0 119.0 \n",
- "\n",
- " cases_m7 deaths_m7 deaths_g4 deaths_g7 \\\n",
- "dateRep \n",
- "2020-01-03 0.000000 0.000000 0.000000 0.000000 \n",
- "2020-01-10 0.000000 0.000000 0.000000 0.000000 \n",
- "2020-01-17 0.000000 0.000000 0.000000 0.000000 \n",
- "2020-01-24 0.000000 0.000000 0.000000 0.000000 \n",
- "2020-01-31 0.000000 0.000000 0.000000 0.000000 \n",
- "2020-02-07 2.571429 0.000000 0.000000 0.000000 \n",
- "2020-02-14 5.142857 0.000000 0.000000 0.000000 \n",
- "2020-02-21 2.285714 0.000000 0.000000 0.000000 \n",
- "2020-02-28 3.714286 0.000000 0.000000 0.000000 \n",
- "2020-03-06 83.571429 0.000000 0.000000 0.000000 \n",
- "2020-03-13 514.000000 4.428571 0.000000 0.000000 \n",
- "2020-03-20 2699.142857 68.000000 79.504887 24.257733 \n",
- "2020-03-27 7954.571429 384.285714 464.807614 327.583287 \n",
- "2020-04-03 19751.000000 1789.285714 2153.720503 1633.574291 \n",
- "2020-04-10 30920.285714 4599.142857 5088.524097 4416.476344 \n",
- "2020-04-17 31553.857143 6434.000000 6392.991495 6269.311492 \n",
- "2020-04-24 32290.857143 6108.285714 5745.091557 5865.493228 \n",
- "2020-05-01 32810.142857 5291.571429 4695.525928 4919.730986 \n",
- "2020-05-08 30088.714286 4100.142857 3669.542328 3786.175573 \n",
- "2020-05-15 22969.428571 3059.571429 2677.524456 2785.255471 \n",
- "2020-05-22 19064.000000 2333.857143 1947.928544 2022.217125 \n",
- "2020-05-29 15379.142857 1929.857143 1732.798698 1728.444472 \n",
- "2020-06-05 10734.857143 1550.428571 1257.247277 1322.817820 \n",
- "2020-06-12 8208.000000 1098.428571 916.682753 940.775215 \n",
- "2020-06-19 7111.428571 700.714286 563.512973 593.415144 \n",
- "2020-06-26 6484.571429 494.285714 416.381335 421.990143 \n",
- "2020-07-03 5019.428571 427.428571 376.617800 366.017611 \n",
- "2020-07-10 4161.428571 298.428571 248.675598 258.540406 \n",
- "2020-07-17 4196.285714 203.285714 166.283290 171.181184 \n",
- "2020-07-24 4372.285714 137.714286 118.278798 120.912224 \n",
- "2020-07-31 4235.571429 113.857143 79.927160 82.049806 \n",
- "2020-08-07 4964.000000 91.571429 26.017737 9.273227 \n",
- "2020-08-14 6240.857143 81.714286 77.224731 64.479846 \n",
- "2020-08-21 7486.857143 76.142857 57.415692 61.994254 \n",
- "2020-08-28 7432.285714 63.714286 54.517208 49.287140 \n",
- "2020-09-04 9115.571429 64.000000 45.709346 49.612299 \n",
- "2020-09-11 14099.000000 64.285714 55.103648 46.741257 \n",
- "2020-09-18 21551.000000 82.285714 76.375361 65.232921 \n",
- "2020-09-25 28325.428571 155.714286 161.214801 143.205548 \n",
- "2020-10-02 41039.142857 238.285714 230.060916 211.544534 \n",
- "2020-10-09 73688.857143 363.285714 349.704548 322.563025 \n",
- "2020-10-16 107028.285714 535.571429 577.496284 499.621044 \n",
- "2020-10-23 124204.428571 892.428571 903.798899 829.790586 \n",
- "2020-10-30 151163.428571 1336.142857 1363.375912 1244.302740 \n",
- "2020-11-06 158233.285714 1894.428571 1869.072858 1756.119532 \n",
- "2020-11-13 159667.857143 2463.142857 2401.361299 2249.701288 \n",
- "2020-11-20 173169.142857 2891.000000 2708.892132 2619.031072 \n",
- "2020-11-27 137230.571429 3050.000000 2934.861534 2753.026893 \n",
- "2020-12-04 105877.000000 3263.142857 2966.168647 2988.661808 \n",
- "2020-12-11 90123.714286 2555.000000 2356.150688 2352.938908 \n",
- "\n",
- " doubling_time doubling_time_7 \n",
- "dateRep \n",
- "2020-01-03 0.000000e+00 0.000000e+00 \n",
- "2020-01-10 0.000000e+00 0.000000e+00 \n",
- "2020-01-17 0.000000e+00 0.000000e+00 \n",
- "2020-01-24 0.000000e+00 0.000000e+00 \n",
- "2020-01-31 0.000000e+00 0.000000e+00 \n",
- "2020-02-07 0.000000e+00 0.000000e+00 \n",
- "2020-02-14 0.000000e+00 0.000000e+00 \n",
- "2020-02-21 0.000000e+00 0.000000e+00 \n",
- "2020-02-28 0.000000e+00 0.000000e+00 \n",
- "2020-03-06 0.000000e+00 0.000000e+00 \n",
- "2020-03-13 inf inf \n",
- "2020-03-20 inf inf \n",
- "2020-03-27 3.577040e+01 4.797282e+01 \n",
- "2020-04-03 3.702651e+01 4.931862e+01 \n",
- "2020-04-10 4.749914e+01 5.457682e+01 \n",
- "2020-04-17 7.441501e+01 7.427834e+01 \n",
- "2020-04-24 1.196415e+02 1.151654e+02 \n",
- "2020-05-01 1.890979e+02 1.744465e+02 \n",
- "2020-05-08 2.839767e+02 2.627153e+02 \n",
- "2020-05-15 4.329725e+02 3.948088e+02 \n",
- "2020-05-22 6.541432e+02 5.836862e+02 \n",
- "2020-05-29 7.391467e+02 7.173609e+02 \n",
- "2020-06-05 1.135760e+03 9.930720e+02 \n",
- "2020-06-12 1.593893e+03 1.416581e+03 \n",
- "2020-06-19 2.647618e+03 2.299498e+03 \n",
- "2020-06-26 3.585584e+03 3.235524e+03 \n",
- "2020-07-03 4.038218e+03 3.764706e+03 \n",
- "2020-07-10 6.117937e+03 5.408341e+03 \n",
- "2020-07-17 9.430925e+03 8.243797e+03 \n",
- "2020-07-24 1.271636e+04 1.165442e+04 \n",
- "2020-07-31 inf inf \n",
- "2020-08-07 inf inf \n",
- "2020-08-14 2.011138e+04 2.245319e+04 \n",
- "2020-08-21 2.822494e+04 2.333077e+04 \n",
- "2020-08-28 2.710076e+04 2.908195e+04 \n",
- "2020-09-04 4.258905e+04 3.069208e+04 \n",
- "2020-09-11 2.723477e+04 3.156956e+04 \n",
- "2020-09-18 2.020206e+04 2.224637e+04 \n",
- "2020-09-25 8.901465e+03 1.026870e+04 \n",
- "2020-10-02 6.473932e+03 6.827996e+03 \n",
- "2020-10-09 4.291457e+03 4.498907e+03 \n",
- "2020-10-16 2.571463e+03 3.038155e+03 \n",
- "2020-10-23 1.681682e+03 1.816643e+03 \n",
- "2020-10-30 1.144987e+03 1.253041e+03 \n",
- "2020-11-06 8.748452e+02 9.175873e+02 \n",
- "2020-11-13 7.273019e+02 7.528714e+02 \n",
- "2020-11-20 6.907600e+02 6.823344e+02 \n",
- "2020-11-27 6.765205e+02 6.882603e+02 \n",
- "2020-12-04 7.059253e+02 6.717400e+02 \n",
- "2020-12-11 6.829136e+02 6.544146e+02 "
- ]
- },
- "execution_count": 68,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "data_by_week = data_by_day.resample(pd.offsets.Week(weekday=4)).sum()\n",
- "data_by_week"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 69,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
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- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>total_2020</th>\n",
- " <th>previous_mean</th>\n",
- " <th>covid_deaths</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <td>2020-03-20</td>\n",
- " <td>12112.0</td>\n",
- " <td>12007.4</td>\n",
- " <td>153</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-03-27</td>\n",
- " <td>12507.0</td>\n",
- " <td>11549.6</td>\n",
- " <td>722</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-04-03</td>\n",
- " <td>18565.0</td>\n",
- " <td>11681.4</td>\n",
- " <td>2898</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-04-10</td>\n",
- " <td>20929.0</td>\n",
- " <td>11919.4</td>\n",
- " <td>5909</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-04-17</td>\n",
- " <td>24691.0</td>\n",
- " <td>11850.6</td>\n",
- " <td>6338</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-04-24</td>\n",
- " <td>24303.0</td>\n",
- " <td>11844.4</td>\n",
- " <td>5773</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-05-01</td>\n",
- " <td>20059.0</td>\n",
- " <td>11318.4</td>\n",
- " <td>4881</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-05-08</td>\n",
- " <td>14428.0</td>\n",
- " <td>10887.2</td>\n",
- " <td>3638</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-05-15</td>\n",
- " <td>16390.0</td>\n",
- " <td>11547.0</td>\n",
- " <td>2671</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-05-22</td>\n",
- " <td>13839.0</td>\n",
- " <td>11281.0</td>\n",
- " <td>2075</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-05-29</td>\n",
- " <td>11265.0</td>\n",
- " <td>9448.0</td>\n",
- " <td>1890</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-06-05</td>\n",
- " <td>12106.0</td>\n",
- " <td>11325.6</td>\n",
- " <td>1207</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-06-12</td>\n",
- " <td>11302.0</td>\n",
- " <td>10703.6</td>\n",
- " <td>937</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-06-19</td>\n",
- " <td>10694.0</td>\n",
- " <td>10698.2</td>\n",
- " <td>591</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-06-26</td>\n",
- " <td>10282.0</td>\n",
- " <td>10605.6</td>\n",
- " <td>480</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-07-03</td>\n",
- " <td>10412.0</td>\n",
- " <td>10483.0</td>\n",
- " <td>360</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-07-10</td>\n",
- " <td>9941.0</td>\n",
- " <td>10509.4</td>\n",
- " <td>253</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-07-17</td>\n",
- " <td>10096.0</td>\n",
- " <td>10360.6</td>\n",
- " <td>164</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-07-24</td>\n",
- " <td>10159.0</td>\n",
- " <td>10311.6</td>\n",
- " <td>107</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-07-31</td>\n",
- " <td>10262.0</td>\n",
- " <td>10307.4</td>\n",
- " <td>113</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-08-07</td>\n",
- " <td>10236.0</td>\n",
- " <td>10363.6</td>\n",
- " <td>89</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-08-14</td>\n",
- " <td>10592.0</td>\n",
- " <td>10345.8</td>\n",
- " <td>89</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-08-21</td>\n",
- " <td>10990.0</td>\n",
- " <td>10433.4</td>\n",
- " <td>56</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-08-28</td>\n",
- " <td>10364.0</td>\n",
- " <td>9472.2</td>\n",
- " <td>74</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-09-04</td>\n",
- " <td>9023.0</td>\n",
- " <td>10430.4</td>\n",
- " <td>50</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-09-11</td>\n",
- " <td>11176.0</td>\n",
- " <td>10610.8</td>\n",
- " <td>81</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-09-18</td>\n",
- " <td>10797.0</td>\n",
- " <td>10545.8</td>\n",
- " <td>97</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-09-25</td>\n",
- " <td>10890.0</td>\n",
- " <td>10709.6</td>\n",
- " <td>197</td>\n",
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- " <tr>\n",
- " <td>2020-10-02</td>\n",
- " <td>11468.0</td>\n",
- " <td>10890.8</td>\n",
- " <td>300</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-10-09</td>\n",
- " <td>11373.0</td>\n",
- " <td>11186.4</td>\n",
- " <td>390</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-10-16</td>\n",
- " <td>11943.0</td>\n",
- " <td>11224.8</td>\n",
- " <td>701</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-10-23</td>\n",
- " <td>12317.0</td>\n",
- " <td>11093.2</td>\n",
- " <td>1054</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-10-30</td>\n",
- " <td>12517.0</td>\n",
- " <td>11257.6</td>\n",
- " <td>1608</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-11-06</td>\n",
- " <td>13448.0</td>\n",
- " <td>11729.4</td>\n",
- " <td>2165</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-11-13</td>\n",
- " <td>13798.0</td>\n",
- " <td>11803.6</td>\n",
- " <td>2808</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-11-20</td>\n",
- " <td>14291.0</td>\n",
- " <td>11821.0</td>\n",
- " <td>2847</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-11-27</td>\n",
- " <td>14132.0</td>\n",
- " <td>11802.0</td>\n",
- " <td>3256</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " total_2020 previous_mean covid_deaths\n",
- "2020-03-20 12112.0 12007.4 153\n",
- "2020-03-27 12507.0 11549.6 722\n",
- "2020-04-03 18565.0 11681.4 2898\n",
- "2020-04-10 20929.0 11919.4 5909\n",
- "2020-04-17 24691.0 11850.6 6338\n",
- "2020-04-24 24303.0 11844.4 5773\n",
- "2020-05-01 20059.0 11318.4 4881\n",
- "2020-05-08 14428.0 10887.2 3638\n",
- "2020-05-15 16390.0 11547.0 2671\n",
- "2020-05-22 13839.0 11281.0 2075\n",
- "2020-05-29 11265.0 9448.0 1890\n",
- "2020-06-05 12106.0 11325.6 1207\n",
- "2020-06-12 11302.0 10703.6 937\n",
- "2020-06-19 10694.0 10698.2 591\n",
- "2020-06-26 10282.0 10605.6 480\n",
- "2020-07-03 10412.0 10483.0 360\n",
- "2020-07-10 9941.0 10509.4 253\n",
- "2020-07-17 10096.0 10360.6 164\n",
- "2020-07-24 10159.0 10311.6 107\n",
- "2020-07-31 10262.0 10307.4 113\n",
- "2020-08-07 10236.0 10363.6 89\n",
- "2020-08-14 10592.0 10345.8 89\n",
- "2020-08-21 10990.0 10433.4 56\n",
- "2020-08-28 10364.0 9472.2 74\n",
- "2020-09-04 9023.0 10430.4 50\n",
- "2020-09-11 11176.0 10610.8 81\n",
- "2020-09-18 10797.0 10545.8 97\n",
- "2020-09-25 10890.0 10709.6 197\n",
- "2020-10-02 11468.0 10890.8 300\n",
- "2020-10-09 11373.0 11186.4 390\n",
- "2020-10-16 11943.0 11224.8 701\n",
- "2020-10-23 12317.0 11093.2 1054\n",
- "2020-10-30 12517.0 11257.6 1608\n",
- "2020-11-06 13448.0 11729.4 2165\n",
- "2020-11-13 13798.0 11803.6 2808\n",
- "2020-11-20 14291.0 11821.0 2847\n",
- "2020-11-27 14132.0 11802.0 3256"
- ]
- },
- "execution_count": 69,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "excess_deaths = deaths_by_week.loc['2020-03-20':, ['total_2020', 'previous_mean']].merge(\n",
- " data_by_week['deaths'], left_index=True, right_index=True)\n",
- "excess_deaths.rename(columns={'deaths': 'covid_deaths'}, inplace=True)\n",
- "excess_deaths.dropna(inplace=True)\n",
- "excess_deaths"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "Collapsed": "false"
- },
- "source": [
- "## Correction for the dip in deaths being in week 36, not the usual week 35"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 70,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
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- " <th>total_2020</th>\n",
- " <th>previous_mean</th>\n",
- " <th>covid_deaths</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <td>2020-08-14</td>\n",
- " <td>10592.0</td>\n",
- " <td>10345.8</td>\n",
- " <td>89</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-08-21</td>\n",
- " <td>10990.0</td>\n",
- " <td>10433.4</td>\n",
- " <td>56</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-08-28</td>\n",
- " <td>9023.0</td>\n",
- " <td>9472.2</td>\n",
- " <td>74</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-09-04</td>\n",
- " <td>10364.0</td>\n",
- " <td>10430.4</td>\n",
- " <td>50</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-09-11</td>\n",
- " <td>11176.0</td>\n",
- " <td>10610.8</td>\n",
- " <td>81</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-09-18</td>\n",
- " <td>10797.0</td>\n",
- " <td>10545.8</td>\n",
- " <td>97</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-09-25</td>\n",
- " <td>10890.0</td>\n",
- " <td>10709.6</td>\n",
- " <td>197</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-10-02</td>\n",
- " <td>11468.0</td>\n",
- " <td>10890.8</td>\n",
- " <td>300</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-10-09</td>\n",
- " <td>11373.0</td>\n",
- " <td>11186.4</td>\n",
- " <td>390</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-10-16</td>\n",
- " <td>11943.0</td>\n",
- " <td>11224.8</td>\n",
- " <td>701</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-10-23</td>\n",
- " <td>12317.0</td>\n",
- " <td>11093.2</td>\n",
- " <td>1054</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-10-30</td>\n",
- " <td>12517.0</td>\n",
- " <td>11257.6</td>\n",
- " <td>1608</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-11-06</td>\n",
- " <td>13448.0</td>\n",
- " <td>11729.4</td>\n",
- " <td>2165</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-11-13</td>\n",
- " <td>13798.0</td>\n",
- " <td>11803.6</td>\n",
- " <td>2808</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-11-20</td>\n",
- " <td>14291.0</td>\n",
- " <td>11821.0</td>\n",
- " <td>2847</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-11-27</td>\n",
- " <td>14132.0</td>\n",
- " <td>11802.0</td>\n",
- " <td>3256</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " total_2020 previous_mean covid_deaths\n",
- "2020-08-14 10592.0 10345.8 89\n",
- "2020-08-21 10990.0 10433.4 56\n",
- "2020-08-28 9023.0 9472.2 74\n",
- "2020-09-04 10364.0 10430.4 50\n",
- "2020-09-11 11176.0 10610.8 81\n",
- "2020-09-18 10797.0 10545.8 97\n",
- "2020-09-25 10890.0 10709.6 197\n",
- "2020-10-02 11468.0 10890.8 300\n",
- "2020-10-09 11373.0 11186.4 390\n",
- "2020-10-16 11943.0 11224.8 701\n",
- "2020-10-23 12317.0 11093.2 1054\n",
- "2020-10-30 12517.0 11257.6 1608\n",
- "2020-11-06 13448.0 11729.4 2165\n",
- "2020-11-13 13798.0 11803.6 2808\n",
- "2020-11-20 14291.0 11821.0 2847\n",
- "2020-11-27 14132.0 11802.0 3256"
- ]
- },
- "execution_count": 70,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "temp1 = excess_deaths.loc['2020-08-28'].total_2020\n",
- "temp2 = excess_deaths.loc['2020-09-04'].total_2020\n",
- "excess_deaths.loc['2020-08-28', 'total_2020'] = temp2\n",
- "excess_deaths.loc['2020-09-04', 'total_2020'] = temp1\n",
- "excess_deaths.loc['2020-08-14':]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 71,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "(10364.0, 9023.0)"
- ]
- },
- "execution_count": 71,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "temp1, temp2"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 72,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
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- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>total_2020</th>\n",
- " <th>previous_mean</th>\n",
- " <th>covid_deaths</th>\n",
- " <th>excess</th>\n",
- " <th>attributable</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <td>2020-03-20</td>\n",
- " <td>12112.0</td>\n",
- " <td>12007.4</td>\n",
- " <td>153</td>\n",
- " <td>104.6</td>\n",
- " <td>153.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-03-27</td>\n",
- " <td>12507.0</td>\n",
- " <td>11549.6</td>\n",
- " <td>722</td>\n",
- " <td>957.4</td>\n",
- " <td>957.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-04-03</td>\n",
- " <td>18565.0</td>\n",
- " <td>11681.4</td>\n",
- " <td>2898</td>\n",
- " <td>6883.6</td>\n",
- " <td>6883.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-04-10</td>\n",
- " <td>20929.0</td>\n",
- " <td>11919.4</td>\n",
- " <td>5909</td>\n",
- " <td>9009.6</td>\n",
- " <td>9009.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-04-17</td>\n",
- " <td>24691.0</td>\n",
- " <td>11850.6</td>\n",
- " <td>6338</td>\n",
- " <td>12840.4</td>\n",
- " <td>12840.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-04-24</td>\n",
- " <td>24303.0</td>\n",
- " <td>11844.4</td>\n",
- " <td>5773</td>\n",
- " <td>12458.6</td>\n",
- " <td>12458.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-05-01</td>\n",
- " <td>20059.0</td>\n",
- " <td>11318.4</td>\n",
- " <td>4881</td>\n",
- " <td>8740.6</td>\n",
- " <td>8740.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-05-08</td>\n",
- " <td>14428.0</td>\n",
- " <td>10887.2</td>\n",
- " <td>3638</td>\n",
- " <td>3540.8</td>\n",
- " <td>3638.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-05-15</td>\n",
- " <td>16390.0</td>\n",
- " <td>11547.0</td>\n",
- " <td>2671</td>\n",
- " <td>4843.0</td>\n",
- " <td>4843.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-05-22</td>\n",
- " <td>13839.0</td>\n",
- " <td>11281.0</td>\n",
- " <td>2075</td>\n",
- " <td>2558.0</td>\n",
- " <td>2558.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-05-29</td>\n",
- " <td>11265.0</td>\n",
- " <td>9448.0</td>\n",
- " <td>1890</td>\n",
- " <td>1817.0</td>\n",
- " <td>1890.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-06-05</td>\n",
- " <td>12106.0</td>\n",
- " <td>11325.6</td>\n",
- " <td>1207</td>\n",
- " <td>780.4</td>\n",
- " <td>1207.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-06-12</td>\n",
- " <td>11302.0</td>\n",
- " <td>10703.6</td>\n",
- " <td>937</td>\n",
- " <td>598.4</td>\n",
- " <td>937.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-06-19</td>\n",
- " <td>10694.0</td>\n",
- " <td>10698.2</td>\n",
- " <td>591</td>\n",
- " <td>-4.2</td>\n",
- " <td>591.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-06-26</td>\n",
- " <td>10282.0</td>\n",
- " <td>10605.6</td>\n",
- " <td>480</td>\n",
- " <td>-323.6</td>\n",
- " <td>480.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-07-03</td>\n",
- " <td>10412.0</td>\n",
- " <td>10483.0</td>\n",
- " <td>360</td>\n",
- " <td>-71.0</td>\n",
- " <td>360.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-07-10</td>\n",
- " <td>9941.0</td>\n",
- " <td>10509.4</td>\n",
- " <td>253</td>\n",
- " <td>-568.4</td>\n",
- " <td>253.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-07-17</td>\n",
- " <td>10096.0</td>\n",
- " <td>10360.6</td>\n",
- " <td>164</td>\n",
- " <td>-264.6</td>\n",
- " <td>164.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-07-24</td>\n",
- " <td>10159.0</td>\n",
- " <td>10311.6</td>\n",
- " <td>107</td>\n",
- " <td>-152.6</td>\n",
- " <td>107.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-07-31</td>\n",
- " <td>10262.0</td>\n",
- " <td>10307.4</td>\n",
- " <td>113</td>\n",
- " <td>-45.4</td>\n",
- " <td>113.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-08-07</td>\n",
- " <td>10236.0</td>\n",
- " <td>10363.6</td>\n",
- " <td>89</td>\n",
- " <td>-127.6</td>\n",
- " <td>89.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-08-14</td>\n",
- " <td>10592.0</td>\n",
- " <td>10345.8</td>\n",
- " <td>89</td>\n",
- " <td>246.2</td>\n",
- " <td>246.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-08-21</td>\n",
- " <td>10990.0</td>\n",
- " <td>10433.4</td>\n",
- " <td>56</td>\n",
- " <td>556.6</td>\n",
- " <td>556.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-08-28</td>\n",
- " <td>9023.0</td>\n",
- " <td>9472.2</td>\n",
- " <td>74</td>\n",
- " <td>-449.2</td>\n",
- " <td>74.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-09-04</td>\n",
- " <td>10364.0</td>\n",
- " <td>10430.4</td>\n",
- " <td>50</td>\n",
- " <td>-66.4</td>\n",
- " <td>50.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-09-11</td>\n",
- " <td>11176.0</td>\n",
- " <td>10610.8</td>\n",
- " <td>81</td>\n",
- " <td>565.2</td>\n",
- " <td>565.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-09-18</td>\n",
- " <td>10797.0</td>\n",
- " <td>10545.8</td>\n",
- " <td>97</td>\n",
- " <td>251.2</td>\n",
- " <td>251.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-09-25</td>\n",
- " <td>10890.0</td>\n",
- " <td>10709.6</td>\n",
- " <td>197</td>\n",
- " <td>180.4</td>\n",
- " <td>197.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-10-02</td>\n",
- " <td>11468.0</td>\n",
- " <td>10890.8</td>\n",
- " <td>300</td>\n",
- " <td>577.2</td>\n",
- " <td>577.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-10-09</td>\n",
- " <td>11373.0</td>\n",
- " <td>11186.4</td>\n",
- " <td>390</td>\n",
- " <td>186.6</td>\n",
- " <td>390.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-10-16</td>\n",
- " <td>11943.0</td>\n",
- " <td>11224.8</td>\n",
- " <td>701</td>\n",
- " <td>718.2</td>\n",
- " <td>718.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-10-23</td>\n",
- " <td>12317.0</td>\n",
- " <td>11093.2</td>\n",
- " <td>1054</td>\n",
- " <td>1223.8</td>\n",
- " <td>1223.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-10-30</td>\n",
- " <td>12517.0</td>\n",
- " <td>11257.6</td>\n",
- " <td>1608</td>\n",
- " <td>1259.4</td>\n",
- " <td>1608.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-11-06</td>\n",
- " <td>13448.0</td>\n",
- " <td>11729.4</td>\n",
- " <td>2165</td>\n",
- " <td>1718.6</td>\n",
- " <td>2165.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-11-13</td>\n",
- " <td>13798.0</td>\n",
- " <td>11803.6</td>\n",
- " <td>2808</td>\n",
- " <td>1994.4</td>\n",
- " <td>2808.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-11-20</td>\n",
- " <td>14291.0</td>\n",
- " <td>11821.0</td>\n",
- " <td>2847</td>\n",
- " <td>2470.0</td>\n",
- " <td>2847.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-11-27</td>\n",
- " <td>14132.0</td>\n",
- " <td>11802.0</td>\n",
- " <td>3256</td>\n",
- " <td>2330.0</td>\n",
- " <td>3256.0</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " total_2020 previous_mean covid_deaths excess attributable\n",
- "2020-03-20 12112.0 12007.4 153 104.6 153.0\n",
- "2020-03-27 12507.0 11549.6 722 957.4 957.4\n",
- "2020-04-03 18565.0 11681.4 2898 6883.6 6883.6\n",
- "2020-04-10 20929.0 11919.4 5909 9009.6 9009.6\n",
- "2020-04-17 24691.0 11850.6 6338 12840.4 12840.4\n",
- "2020-04-24 24303.0 11844.4 5773 12458.6 12458.6\n",
- "2020-05-01 20059.0 11318.4 4881 8740.6 8740.6\n",
- "2020-05-08 14428.0 10887.2 3638 3540.8 3638.0\n",
- "2020-05-15 16390.0 11547.0 2671 4843.0 4843.0\n",
- "2020-05-22 13839.0 11281.0 2075 2558.0 2558.0\n",
- "2020-05-29 11265.0 9448.0 1890 1817.0 1890.0\n",
- "2020-06-05 12106.0 11325.6 1207 780.4 1207.0\n",
- "2020-06-12 11302.0 10703.6 937 598.4 937.0\n",
- "2020-06-19 10694.0 10698.2 591 -4.2 591.0\n",
- "2020-06-26 10282.0 10605.6 480 -323.6 480.0\n",
- "2020-07-03 10412.0 10483.0 360 -71.0 360.0\n",
- "2020-07-10 9941.0 10509.4 253 -568.4 253.0\n",
- "2020-07-17 10096.0 10360.6 164 -264.6 164.0\n",
- "2020-07-24 10159.0 10311.6 107 -152.6 107.0\n",
- "2020-07-31 10262.0 10307.4 113 -45.4 113.0\n",
- "2020-08-07 10236.0 10363.6 89 -127.6 89.0\n",
- "2020-08-14 10592.0 10345.8 89 246.2 246.2\n",
- "2020-08-21 10990.0 10433.4 56 556.6 556.6\n",
- "2020-08-28 9023.0 9472.2 74 -449.2 74.0\n",
- "2020-09-04 10364.0 10430.4 50 -66.4 50.0\n",
- "2020-09-11 11176.0 10610.8 81 565.2 565.2\n",
- "2020-09-18 10797.0 10545.8 97 251.2 251.2\n",
- "2020-09-25 10890.0 10709.6 197 180.4 197.0\n",
- "2020-10-02 11468.0 10890.8 300 577.2 577.2\n",
- "2020-10-09 11373.0 11186.4 390 186.6 390.0\n",
- "2020-10-16 11943.0 11224.8 701 718.2 718.2\n",
- "2020-10-23 12317.0 11093.2 1054 1223.8 1223.8\n",
- "2020-10-30 12517.0 11257.6 1608 1259.4 1608.0\n",
- "2020-11-06 13448.0 11729.4 2165 1718.6 2165.0\n",
- "2020-11-13 13798.0 11803.6 2808 1994.4 2808.0\n",
- "2020-11-20 14291.0 11821.0 2847 2470.0 2847.0\n",
- "2020-11-27 14132.0 11802.0 3256 2330.0 3256.0"
- ]
- },
- "execution_count": 72,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "excess_deaths['excess'] = excess_deaths.total_2020 - excess_deaths.previous_mean\n",
- "excess_deaths['attributable'] = excess_deaths[['covid_deaths', 'excess']].max(axis=1)\n",
- "excess_deaths"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 73,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<matplotlib.axes._subplots.AxesSubplot at 0x7f41c44a9610>"
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- "metadata": {},
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\n",
- "text/plain": [
- "<Figure size 432x288 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "excess_deaths[['covid_deaths', 'excess']].plot()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 74,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "1.3562695100136786"
- ]
- },
- "execution_count": 74,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "excess_deaths.excess.sum() / excess_deaths.covid_deaths.sum()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 75,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
- " .dataframe tbody tr th:only-of-type {\n",
- " vertical-align: middle;\n",
- " }\n",
- "\n",
- " .dataframe tbody tr th {\n",
- " vertical-align: top;\n",
- " }\n",
- "\n",
- " .dataframe thead th {\n",
- " text-align: right;\n",
- " }\n",
- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>total_2020</th>\n",
- " <th>previous_mean</th>\n",
- " <th>covid_deaths</th>\n",
- " <th>excess</th>\n",
- " <th>attributable</th>\n",
- " <th>accounted_fraction</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <td>2020-03-20</td>\n",
- " <td>12112.0</td>\n",
- " <td>12007.4</td>\n",
- " <td>153</td>\n",
- " <td>104.6</td>\n",
- " <td>153.0</td>\n",
- " <td>1.462715</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-03-27</td>\n",
- " <td>12507.0</td>\n",
- " <td>11549.6</td>\n",
- " <td>722</td>\n",
- " <td>957.4</td>\n",
- " <td>957.4</td>\n",
- " <td>0.754126</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-04-03</td>\n",
- " <td>18565.0</td>\n",
- " <td>11681.4</td>\n",
- " <td>2898</td>\n",
- " <td>6883.6</td>\n",
- " <td>6883.6</td>\n",
- " <td>0.421001</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-04-10</td>\n",
- " <td>20929.0</td>\n",
- " <td>11919.4</td>\n",
- " <td>5909</td>\n",
- " <td>9009.6</td>\n",
- " <td>9009.6</td>\n",
- " <td>0.655856</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-04-17</td>\n",
- " <td>24691.0</td>\n",
- " <td>11850.6</td>\n",
- " <td>6338</td>\n",
- " <td>12840.4</td>\n",
- " <td>12840.4</td>\n",
- " <td>0.493598</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-04-24</td>\n",
- " <td>24303.0</td>\n",
- " <td>11844.4</td>\n",
- " <td>5773</td>\n",
- " <td>12458.6</td>\n",
- " <td>12458.6</td>\n",
- " <td>0.463375</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-05-01</td>\n",
- " <td>20059.0</td>\n",
- " <td>11318.4</td>\n",
- " <td>4881</td>\n",
- " <td>8740.6</td>\n",
- " <td>8740.6</td>\n",
- " <td>0.558428</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-05-08</td>\n",
- " <td>14428.0</td>\n",
- " <td>10887.2</td>\n",
- " <td>3638</td>\n",
- " <td>3540.8</td>\n",
- " <td>3638.0</td>\n",
- " <td>1.027451</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-05-15</td>\n",
- " <td>16390.0</td>\n",
- " <td>11547.0</td>\n",
- " <td>2671</td>\n",
- " <td>4843.0</td>\n",
- " <td>4843.0</td>\n",
- " <td>0.551518</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-05-22</td>\n",
- " <td>13839.0</td>\n",
- " <td>11281.0</td>\n",
- " <td>2075</td>\n",
- " <td>2558.0</td>\n",
- " <td>2558.0</td>\n",
- " <td>0.811181</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-05-29</td>\n",
- " <td>11265.0</td>\n",
- " <td>9448.0</td>\n",
- " <td>1890</td>\n",
- " <td>1817.0</td>\n",
- " <td>1890.0</td>\n",
- " <td>1.040176</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-06-05</td>\n",
- " <td>12106.0</td>\n",
- " <td>11325.6</td>\n",
- " <td>1207</td>\n",
- " <td>780.4</td>\n",
- " <td>1207.0</td>\n",
- " <td>1.546643</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-06-12</td>\n",
- " <td>11302.0</td>\n",
- " <td>10703.6</td>\n",
- " <td>937</td>\n",
- " <td>598.4</td>\n",
- " <td>937.0</td>\n",
- " <td>1.565842</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-06-19</td>\n",
- " <td>10694.0</td>\n",
- " <td>10698.2</td>\n",
- " <td>591</td>\n",
- " <td>-4.2</td>\n",
- " <td>591.0</td>\n",
- " <td>-140.714286</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-06-26</td>\n",
- " <td>10282.0</td>\n",
- " <td>10605.6</td>\n",
- " <td>480</td>\n",
- " <td>-323.6</td>\n",
- " <td>480.0</td>\n",
- " <td>-1.483313</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-07-03</td>\n",
- " <td>10412.0</td>\n",
- " <td>10483.0</td>\n",
- " <td>360</td>\n",
- " <td>-71.0</td>\n",
- " <td>360.0</td>\n",
- " <td>-5.070423</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-07-10</td>\n",
- " <td>9941.0</td>\n",
- " <td>10509.4</td>\n",
- " <td>253</td>\n",
- " <td>-568.4</td>\n",
- " <td>253.0</td>\n",
- " <td>-0.445109</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-07-17</td>\n",
- " <td>10096.0</td>\n",
- " <td>10360.6</td>\n",
- " <td>164</td>\n",
- " <td>-264.6</td>\n",
- " <td>164.0</td>\n",
- " <td>-0.619803</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-07-24</td>\n",
- " <td>10159.0</td>\n",
- " <td>10311.6</td>\n",
- " <td>107</td>\n",
- " <td>-152.6</td>\n",
- " <td>107.0</td>\n",
- " <td>-0.701180</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-07-31</td>\n",
- " <td>10262.0</td>\n",
- " <td>10307.4</td>\n",
- " <td>113</td>\n",
- " <td>-45.4</td>\n",
- " <td>113.0</td>\n",
- " <td>-2.488987</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-08-07</td>\n",
- " <td>10236.0</td>\n",
- " <td>10363.6</td>\n",
- " <td>89</td>\n",
- " <td>-127.6</td>\n",
- " <td>89.0</td>\n",
- " <td>-0.697492</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-08-14</td>\n",
- " <td>10592.0</td>\n",
- " <td>10345.8</td>\n",
- " <td>89</td>\n",
- " <td>246.2</td>\n",
- " <td>246.2</td>\n",
- " <td>0.361495</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-08-21</td>\n",
- " <td>10990.0</td>\n",
- " <td>10433.4</td>\n",
- " <td>56</td>\n",
- " <td>556.6</td>\n",
- " <td>556.6</td>\n",
- " <td>0.100611</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-08-28</td>\n",
- " <td>9023.0</td>\n",
- " <td>9472.2</td>\n",
- " <td>74</td>\n",
- " <td>-449.2</td>\n",
- " <td>74.0</td>\n",
- " <td>-0.164737</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-09-04</td>\n",
- " <td>10364.0</td>\n",
- " <td>10430.4</td>\n",
- " <td>50</td>\n",
- " <td>-66.4</td>\n",
- " <td>50.0</td>\n",
- " <td>-0.753012</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-09-11</td>\n",
- " <td>11176.0</td>\n",
- " <td>10610.8</td>\n",
- " <td>81</td>\n",
- " <td>565.2</td>\n",
- " <td>565.2</td>\n",
- " <td>0.143312</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-09-18</td>\n",
- " <td>10797.0</td>\n",
- " <td>10545.8</td>\n",
- " <td>97</td>\n",
- " <td>251.2</td>\n",
- " <td>251.2</td>\n",
- " <td>0.386146</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-09-25</td>\n",
- " <td>10890.0</td>\n",
- " <td>10709.6</td>\n",
- " <td>197</td>\n",
- " <td>180.4</td>\n",
- " <td>197.0</td>\n",
- " <td>1.092018</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-10-02</td>\n",
- " <td>11468.0</td>\n",
- " <td>10890.8</td>\n",
- " <td>300</td>\n",
- " <td>577.2</td>\n",
- " <td>577.2</td>\n",
- " <td>0.519751</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-10-09</td>\n",
- " <td>11373.0</td>\n",
- " <td>11186.4</td>\n",
- " <td>390</td>\n",
- " <td>186.6</td>\n",
- " <td>390.0</td>\n",
- " <td>2.090032</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-10-16</td>\n",
- " <td>11943.0</td>\n",
- " <td>11224.8</td>\n",
- " <td>701</td>\n",
- " <td>718.2</td>\n",
- " <td>718.2</td>\n",
- " <td>0.976051</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-10-23</td>\n",
- " <td>12317.0</td>\n",
- " <td>11093.2</td>\n",
- " <td>1054</td>\n",
- " <td>1223.8</td>\n",
- " <td>1223.8</td>\n",
- " <td>0.861252</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-10-30</td>\n",
- " <td>12517.0</td>\n",
- " <td>11257.6</td>\n",
- " <td>1608</td>\n",
- " <td>1259.4</td>\n",
- " <td>1608.0</td>\n",
- " <td>1.276798</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-11-06</td>\n",
- " <td>13448.0</td>\n",
- " <td>11729.4</td>\n",
- " <td>2165</td>\n",
- " <td>1718.6</td>\n",
- " <td>2165.0</td>\n",
- " <td>1.259746</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-11-13</td>\n",
- " <td>13798.0</td>\n",
- " <td>11803.6</td>\n",
- " <td>2808</td>\n",
- " <td>1994.4</td>\n",
- " <td>2808.0</td>\n",
- " <td>1.407942</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-11-20</td>\n",
- " <td>14291.0</td>\n",
- " <td>11821.0</td>\n",
- " <td>2847</td>\n",
- " <td>2470.0</td>\n",
- " <td>2847.0</td>\n",
- " <td>1.152632</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-11-27</td>\n",
- " <td>14132.0</td>\n",
- " <td>11802.0</td>\n",
- " <td>3256</td>\n",
- " <td>2330.0</td>\n",
- " <td>3256.0</td>\n",
- " <td>1.397425</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " total_2020 previous_mean covid_deaths excess attributable \\\n",
- "2020-03-20 12112.0 12007.4 153 104.6 153.0 \n",
- "2020-03-27 12507.0 11549.6 722 957.4 957.4 \n",
- "2020-04-03 18565.0 11681.4 2898 6883.6 6883.6 \n",
- "2020-04-10 20929.0 11919.4 5909 9009.6 9009.6 \n",
- "2020-04-17 24691.0 11850.6 6338 12840.4 12840.4 \n",
- "2020-04-24 24303.0 11844.4 5773 12458.6 12458.6 \n",
- "2020-05-01 20059.0 11318.4 4881 8740.6 8740.6 \n",
- "2020-05-08 14428.0 10887.2 3638 3540.8 3638.0 \n",
- "2020-05-15 16390.0 11547.0 2671 4843.0 4843.0 \n",
- "2020-05-22 13839.0 11281.0 2075 2558.0 2558.0 \n",
- "2020-05-29 11265.0 9448.0 1890 1817.0 1890.0 \n",
- "2020-06-05 12106.0 11325.6 1207 780.4 1207.0 \n",
- "2020-06-12 11302.0 10703.6 937 598.4 937.0 \n",
- "2020-06-19 10694.0 10698.2 591 -4.2 591.0 \n",
- "2020-06-26 10282.0 10605.6 480 -323.6 480.0 \n",
- "2020-07-03 10412.0 10483.0 360 -71.0 360.0 \n",
- "2020-07-10 9941.0 10509.4 253 -568.4 253.0 \n",
- "2020-07-17 10096.0 10360.6 164 -264.6 164.0 \n",
- "2020-07-24 10159.0 10311.6 107 -152.6 107.0 \n",
- "2020-07-31 10262.0 10307.4 113 -45.4 113.0 \n",
- "2020-08-07 10236.0 10363.6 89 -127.6 89.0 \n",
- "2020-08-14 10592.0 10345.8 89 246.2 246.2 \n",
- "2020-08-21 10990.0 10433.4 56 556.6 556.6 \n",
- "2020-08-28 9023.0 9472.2 74 -449.2 74.0 \n",
- "2020-09-04 10364.0 10430.4 50 -66.4 50.0 \n",
- "2020-09-11 11176.0 10610.8 81 565.2 565.2 \n",
- "2020-09-18 10797.0 10545.8 97 251.2 251.2 \n",
- "2020-09-25 10890.0 10709.6 197 180.4 197.0 \n",
- "2020-10-02 11468.0 10890.8 300 577.2 577.2 \n",
- "2020-10-09 11373.0 11186.4 390 186.6 390.0 \n",
- "2020-10-16 11943.0 11224.8 701 718.2 718.2 \n",
- "2020-10-23 12317.0 11093.2 1054 1223.8 1223.8 \n",
- "2020-10-30 12517.0 11257.6 1608 1259.4 1608.0 \n",
- "2020-11-06 13448.0 11729.4 2165 1718.6 2165.0 \n",
- "2020-11-13 13798.0 11803.6 2808 1994.4 2808.0 \n",
- "2020-11-20 14291.0 11821.0 2847 2470.0 2847.0 \n",
- "2020-11-27 14132.0 11802.0 3256 2330.0 3256.0 \n",
- "\n",
- " accounted_fraction \n",
- "2020-03-20 1.462715 \n",
- "2020-03-27 0.754126 \n",
- "2020-04-03 0.421001 \n",
- "2020-04-10 0.655856 \n",
- "2020-04-17 0.493598 \n",
- "2020-04-24 0.463375 \n",
- "2020-05-01 0.558428 \n",
- "2020-05-08 1.027451 \n",
- "2020-05-15 0.551518 \n",
- "2020-05-22 0.811181 \n",
- "2020-05-29 1.040176 \n",
- "2020-06-05 1.546643 \n",
- "2020-06-12 1.565842 \n",
- "2020-06-19 -140.714286 \n",
- "2020-06-26 -1.483313 \n",
- "2020-07-03 -5.070423 \n",
- "2020-07-10 -0.445109 \n",
- "2020-07-17 -0.619803 \n",
- "2020-07-24 -0.701180 \n",
- "2020-07-31 -2.488987 \n",
- "2020-08-07 -0.697492 \n",
- "2020-08-14 0.361495 \n",
- "2020-08-21 0.100611 \n",
- "2020-08-28 -0.164737 \n",
- "2020-09-04 -0.753012 \n",
- "2020-09-11 0.143312 \n",
- "2020-09-18 0.386146 \n",
- "2020-09-25 1.092018 \n",
- "2020-10-02 0.519751 \n",
- "2020-10-09 2.090032 \n",
- "2020-10-16 0.976051 \n",
- "2020-10-23 0.861252 \n",
- "2020-10-30 1.276798 \n",
- "2020-11-06 1.259746 \n",
- "2020-11-13 1.407942 \n",
- "2020-11-20 1.152632 \n",
- "2020-11-27 1.397425 "
- ]
- },
- "execution_count": 75,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "excess_deaths['accounted_fraction'] = excess_deaths.covid_deaths / excess_deaths.excess\n",
- "excess_deaths"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 76,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/html": [
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- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>total_2020</th>\n",
- " <th>previous_mean</th>\n",
- " <th>covid_deaths</th>\n",
- " <th>excess</th>\n",
- " <th>attributable</th>\n",
- " <th>accounted_fraction</th>\n",
- " <th>covid_deaths_m2</th>\n",
- " <th>excess_m2</th>\n",
- " <th>accounted_fraction_m2</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <td>2020-03-20</td>\n",
- " <td>12112.0</td>\n",
- " <td>12007.4</td>\n",
- " <td>153</td>\n",
- " <td>104.6</td>\n",
- " <td>153.0</td>\n",
- " <td>1.462715</td>\n",
- " <td>153.0</td>\n",
- " <td>104.6</td>\n",
- " <td>1.462715</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-03-27</td>\n",
- " <td>12507.0</td>\n",
- " <td>11549.6</td>\n",
- " <td>722</td>\n",
- " <td>957.4</td>\n",
- " <td>957.4</td>\n",
- " <td>0.754126</td>\n",
- " <td>437.5</td>\n",
- " <td>531.0</td>\n",
- " <td>0.823917</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-04-03</td>\n",
- " <td>18565.0</td>\n",
- " <td>11681.4</td>\n",
- " <td>2898</td>\n",
- " <td>6883.6</td>\n",
- " <td>6883.6</td>\n",
- " <td>0.421001</td>\n",
- " <td>1810.0</td>\n",
- " <td>3920.5</td>\n",
- " <td>0.461676</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-04-10</td>\n",
- " <td>20929.0</td>\n",
- " <td>11919.4</td>\n",
- " <td>5909</td>\n",
- " <td>9009.6</td>\n",
- " <td>9009.6</td>\n",
- " <td>0.655856</td>\n",
- " <td>4403.5</td>\n",
- " <td>7946.6</td>\n",
- " <td>0.554136</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-04-17</td>\n",
- " <td>24691.0</td>\n",
- " <td>11850.6</td>\n",
- " <td>6338</td>\n",
- " <td>12840.4</td>\n",
- " <td>12840.4</td>\n",
- " <td>0.493598</td>\n",
- " <td>6123.5</td>\n",
- " <td>10925.0</td>\n",
- " <td>0.560503</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-04-24</td>\n",
- " <td>24303.0</td>\n",
- " <td>11844.4</td>\n",
- " <td>5773</td>\n",
- " <td>12458.6</td>\n",
- " <td>12458.6</td>\n",
- " <td>0.463375</td>\n",
- " <td>6055.5</td>\n",
- " <td>12649.5</td>\n",
- " <td>0.478715</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-05-01</td>\n",
- " <td>20059.0</td>\n",
- " <td>11318.4</td>\n",
- " <td>4881</td>\n",
- " <td>8740.6</td>\n",
- " <td>8740.6</td>\n",
- " <td>0.558428</td>\n",
- " <td>5327.0</td>\n",
- " <td>10599.6</td>\n",
- " <td>0.502566</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-05-08</td>\n",
- " <td>14428.0</td>\n",
- " <td>10887.2</td>\n",
- " <td>3638</td>\n",
- " <td>3540.8</td>\n",
- " <td>3638.0</td>\n",
- " <td>1.027451</td>\n",
- " <td>4259.5</td>\n",
- " <td>6140.7</td>\n",
- " <td>0.693651</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-05-15</td>\n",
- " <td>16390.0</td>\n",
- " <td>11547.0</td>\n",
- " <td>2671</td>\n",
- " <td>4843.0</td>\n",
- " <td>4843.0</td>\n",
- " <td>0.551518</td>\n",
- " <td>3154.5</td>\n",
- " <td>4191.9</td>\n",
- " <td>0.752523</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-05-22</td>\n",
- " <td>13839.0</td>\n",
- " <td>11281.0</td>\n",
- " <td>2075</td>\n",
- " <td>2558.0</td>\n",
- " <td>2558.0</td>\n",
- " <td>0.811181</td>\n",
- " <td>2373.0</td>\n",
- " <td>3700.5</td>\n",
- " <td>0.641265</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-05-29</td>\n",
- " <td>11265.0</td>\n",
- " <td>9448.0</td>\n",
- " <td>1890</td>\n",
- " <td>1817.0</td>\n",
- " <td>1890.0</td>\n",
- " <td>1.040176</td>\n",
- " <td>1982.5</td>\n",
- " <td>2187.5</td>\n",
- " <td>0.906286</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-06-05</td>\n",
- " <td>12106.0</td>\n",
- " <td>11325.6</td>\n",
- " <td>1207</td>\n",
- " <td>780.4</td>\n",
- " <td>1207.0</td>\n",
- " <td>1.546643</td>\n",
- " <td>1548.5</td>\n",
- " <td>1298.7</td>\n",
- " <td>1.192346</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-06-12</td>\n",
- " <td>11302.0</td>\n",
- " <td>10703.6</td>\n",
- " <td>937</td>\n",
- " <td>598.4</td>\n",
- " <td>937.0</td>\n",
- " <td>1.565842</td>\n",
- " <td>1072.0</td>\n",
- " <td>689.4</td>\n",
- " <td>1.554975</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-06-19</td>\n",
- " <td>10694.0</td>\n",
- " <td>10698.2</td>\n",
- " <td>591</td>\n",
- " <td>-4.2</td>\n",
- " <td>591.0</td>\n",
- " <td>-140.714286</td>\n",
- " <td>764.0</td>\n",
- " <td>297.1</td>\n",
- " <td>2.571525</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-06-26</td>\n",
- " <td>10282.0</td>\n",
- " <td>10605.6</td>\n",
- " <td>480</td>\n",
- " <td>-323.6</td>\n",
- " <td>480.0</td>\n",
- " <td>-1.483313</td>\n",
- " <td>535.5</td>\n",
- " <td>-163.9</td>\n",
- " <td>-3.267236</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-07-03</td>\n",
- " <td>10412.0</td>\n",
- " <td>10483.0</td>\n",
- " <td>360</td>\n",
- " <td>-71.0</td>\n",
- " <td>360.0</td>\n",
- " <td>-5.070423</td>\n",
- " <td>420.0</td>\n",
- " <td>-197.3</td>\n",
- " <td>-2.128738</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-07-10</td>\n",
- " <td>9941.0</td>\n",
- " <td>10509.4</td>\n",
- " <td>253</td>\n",
- " <td>-568.4</td>\n",
- " <td>253.0</td>\n",
- " <td>-0.445109</td>\n",
- " <td>306.5</td>\n",
- " <td>-319.7</td>\n",
- " <td>-0.958711</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-07-17</td>\n",
- " <td>10096.0</td>\n",
- " <td>10360.6</td>\n",
- " <td>164</td>\n",
- " <td>-264.6</td>\n",
- " <td>164.0</td>\n",
- " <td>-0.619803</td>\n",
- " <td>208.5</td>\n",
- " <td>-416.5</td>\n",
- " <td>-0.500600</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-07-24</td>\n",
- " <td>10159.0</td>\n",
- " <td>10311.6</td>\n",
- " <td>107</td>\n",
- " <td>-152.6</td>\n",
- " <td>107.0</td>\n",
- " <td>-0.701180</td>\n",
- " <td>135.5</td>\n",
- " <td>-208.6</td>\n",
- " <td>-0.649569</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-07-31</td>\n",
- " <td>10262.0</td>\n",
- " <td>10307.4</td>\n",
- " <td>113</td>\n",
- " <td>-45.4</td>\n",
- " <td>113.0</td>\n",
- " <td>-2.488987</td>\n",
- " <td>110.0</td>\n",
- " <td>-99.0</td>\n",
- " <td>-1.111111</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-08-07</td>\n",
- " <td>10236.0</td>\n",
- " <td>10363.6</td>\n",
- " <td>89</td>\n",
- " <td>-127.6</td>\n",
- " <td>89.0</td>\n",
- " <td>-0.697492</td>\n",
- " <td>101.0</td>\n",
- " <td>-86.5</td>\n",
- " <td>-1.167630</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-08-14</td>\n",
- " <td>10592.0</td>\n",
- " <td>10345.8</td>\n",
- " <td>89</td>\n",
- " <td>246.2</td>\n",
- " <td>246.2</td>\n",
- " <td>0.361495</td>\n",
- " <td>89.0</td>\n",
- " <td>59.3</td>\n",
- " <td>1.500843</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-08-21</td>\n",
- " <td>10990.0</td>\n",
- " <td>10433.4</td>\n",
- " <td>56</td>\n",
- " <td>556.6</td>\n",
- " <td>556.6</td>\n",
- " <td>0.100611</td>\n",
- " <td>72.5</td>\n",
- " <td>401.4</td>\n",
- " <td>0.180618</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-08-28</td>\n",
- " <td>9023.0</td>\n",
- " <td>9472.2</td>\n",
- " <td>74</td>\n",
- " <td>-449.2</td>\n",
- " <td>74.0</td>\n",
- " <td>-0.164737</td>\n",
- " <td>65.0</td>\n",
- " <td>53.7</td>\n",
- " <td>1.210428</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-09-04</td>\n",
- " <td>10364.0</td>\n",
- " <td>10430.4</td>\n",
- " <td>50</td>\n",
- " <td>-66.4</td>\n",
- " <td>50.0</td>\n",
- " <td>-0.753012</td>\n",
- " <td>62.0</td>\n",
- " <td>-257.8</td>\n",
- " <td>-0.240497</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-09-11</td>\n",
- " <td>11176.0</td>\n",
- " <td>10610.8</td>\n",
- " <td>81</td>\n",
- " <td>565.2</td>\n",
- " <td>565.2</td>\n",
- " <td>0.143312</td>\n",
- " <td>65.5</td>\n",
- " <td>249.4</td>\n",
- " <td>0.262630</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-09-18</td>\n",
- " <td>10797.0</td>\n",
- " <td>10545.8</td>\n",
- " <td>97</td>\n",
- " <td>251.2</td>\n",
- " <td>251.2</td>\n",
- " <td>0.386146</td>\n",
- " <td>89.0</td>\n",
- " <td>408.2</td>\n",
- " <td>0.218030</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-09-25</td>\n",
- " <td>10890.0</td>\n",
- " <td>10709.6</td>\n",
- " <td>197</td>\n",
- " <td>180.4</td>\n",
- " <td>197.0</td>\n",
- " <td>1.092018</td>\n",
- " <td>147.0</td>\n",
- " <td>215.8</td>\n",
- " <td>0.681186</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-10-02</td>\n",
- " <td>11468.0</td>\n",
- " <td>10890.8</td>\n",
- " <td>300</td>\n",
- " <td>577.2</td>\n",
- " <td>577.2</td>\n",
- " <td>0.519751</td>\n",
- " <td>248.5</td>\n",
- " <td>378.8</td>\n",
- " <td>0.656019</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-10-09</td>\n",
- " <td>11373.0</td>\n",
- " <td>11186.4</td>\n",
- " <td>390</td>\n",
- " <td>186.6</td>\n",
- " <td>390.0</td>\n",
- " <td>2.090032</td>\n",
- " <td>345.0</td>\n",
- " <td>381.9</td>\n",
- " <td>0.903378</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-10-16</td>\n",
- " <td>11943.0</td>\n",
- " <td>11224.8</td>\n",
- " <td>701</td>\n",
- " <td>718.2</td>\n",
- " <td>718.2</td>\n",
- " <td>0.976051</td>\n",
- " <td>545.5</td>\n",
- " <td>452.4</td>\n",
- " <td>1.205791</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-10-23</td>\n",
- " <td>12317.0</td>\n",
- " <td>11093.2</td>\n",
- " <td>1054</td>\n",
- " <td>1223.8</td>\n",
- " <td>1223.8</td>\n",
- " <td>0.861252</td>\n",
- " <td>877.5</td>\n",
- " <td>971.0</td>\n",
- " <td>0.903708</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-10-30</td>\n",
- " <td>12517.0</td>\n",
- " <td>11257.6</td>\n",
- " <td>1608</td>\n",
- " <td>1259.4</td>\n",
- " <td>1608.0</td>\n",
- " <td>1.276798</td>\n",
- " <td>1331.0</td>\n",
- " <td>1241.6</td>\n",
- " <td>1.072004</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-11-06</td>\n",
- " <td>13448.0</td>\n",
- " <td>11729.4</td>\n",
- " <td>2165</td>\n",
- " <td>1718.6</td>\n",
- " <td>2165.0</td>\n",
- " <td>1.259746</td>\n",
- " <td>1886.5</td>\n",
- " <td>1489.0</td>\n",
- " <td>1.266958</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-11-13</td>\n",
- " <td>13798.0</td>\n",
- " <td>11803.6</td>\n",
- " <td>2808</td>\n",
- " <td>1994.4</td>\n",
- " <td>2808.0</td>\n",
- " <td>1.407942</td>\n",
- " <td>2486.5</td>\n",
- " <td>1856.5</td>\n",
- " <td>1.339348</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-11-20</td>\n",
- " <td>14291.0</td>\n",
- " <td>11821.0</td>\n",
- " <td>2847</td>\n",
- " <td>2470.0</td>\n",
- " <td>2847.0</td>\n",
- " <td>1.152632</td>\n",
- " <td>2827.5</td>\n",
- " <td>2232.2</td>\n",
- " <td>1.266688</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-11-27</td>\n",
- " <td>14132.0</td>\n",
- " <td>11802.0</td>\n",
- " <td>3256</td>\n",
- " <td>2330.0</td>\n",
- " <td>3256.0</td>\n",
- " <td>1.397425</td>\n",
- " <td>3051.5</td>\n",
- " <td>2400.0</td>\n",
- " <td>1.271458</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " total_2020 previous_mean covid_deaths excess attributable \\\n",
- "2020-03-20 12112.0 12007.4 153 104.6 153.0 \n",
- "2020-03-27 12507.0 11549.6 722 957.4 957.4 \n",
- "2020-04-03 18565.0 11681.4 2898 6883.6 6883.6 \n",
- "2020-04-10 20929.0 11919.4 5909 9009.6 9009.6 \n",
- "2020-04-17 24691.0 11850.6 6338 12840.4 12840.4 \n",
- "2020-04-24 24303.0 11844.4 5773 12458.6 12458.6 \n",
- "2020-05-01 20059.0 11318.4 4881 8740.6 8740.6 \n",
- "2020-05-08 14428.0 10887.2 3638 3540.8 3638.0 \n",
- "2020-05-15 16390.0 11547.0 2671 4843.0 4843.0 \n",
- "2020-05-22 13839.0 11281.0 2075 2558.0 2558.0 \n",
- "2020-05-29 11265.0 9448.0 1890 1817.0 1890.0 \n",
- "2020-06-05 12106.0 11325.6 1207 780.4 1207.0 \n",
- "2020-06-12 11302.0 10703.6 937 598.4 937.0 \n",
- "2020-06-19 10694.0 10698.2 591 -4.2 591.0 \n",
- "2020-06-26 10282.0 10605.6 480 -323.6 480.0 \n",
- "2020-07-03 10412.0 10483.0 360 -71.0 360.0 \n",
- "2020-07-10 9941.0 10509.4 253 -568.4 253.0 \n",
- "2020-07-17 10096.0 10360.6 164 -264.6 164.0 \n",
- "2020-07-24 10159.0 10311.6 107 -152.6 107.0 \n",
- "2020-07-31 10262.0 10307.4 113 -45.4 113.0 \n",
- "2020-08-07 10236.0 10363.6 89 -127.6 89.0 \n",
- "2020-08-14 10592.0 10345.8 89 246.2 246.2 \n",
- "2020-08-21 10990.0 10433.4 56 556.6 556.6 \n",
- "2020-08-28 9023.0 9472.2 74 -449.2 74.0 \n",
- "2020-09-04 10364.0 10430.4 50 -66.4 50.0 \n",
- "2020-09-11 11176.0 10610.8 81 565.2 565.2 \n",
- "2020-09-18 10797.0 10545.8 97 251.2 251.2 \n",
- "2020-09-25 10890.0 10709.6 197 180.4 197.0 \n",
- "2020-10-02 11468.0 10890.8 300 577.2 577.2 \n",
- "2020-10-09 11373.0 11186.4 390 186.6 390.0 \n",
- "2020-10-16 11943.0 11224.8 701 718.2 718.2 \n",
- "2020-10-23 12317.0 11093.2 1054 1223.8 1223.8 \n",
- "2020-10-30 12517.0 11257.6 1608 1259.4 1608.0 \n",
- "2020-11-06 13448.0 11729.4 2165 1718.6 2165.0 \n",
- "2020-11-13 13798.0 11803.6 2808 1994.4 2808.0 \n",
- "2020-11-20 14291.0 11821.0 2847 2470.0 2847.0 \n",
- "2020-11-27 14132.0 11802.0 3256 2330.0 3256.0 \n",
- "\n",
- " accounted_fraction covid_deaths_m2 excess_m2 \\\n",
- "2020-03-20 1.462715 153.0 104.6 \n",
- "2020-03-27 0.754126 437.5 531.0 \n",
- "2020-04-03 0.421001 1810.0 3920.5 \n",
- "2020-04-10 0.655856 4403.5 7946.6 \n",
- "2020-04-17 0.493598 6123.5 10925.0 \n",
- "2020-04-24 0.463375 6055.5 12649.5 \n",
- "2020-05-01 0.558428 5327.0 10599.6 \n",
- "2020-05-08 1.027451 4259.5 6140.7 \n",
- "2020-05-15 0.551518 3154.5 4191.9 \n",
- "2020-05-22 0.811181 2373.0 3700.5 \n",
- "2020-05-29 1.040176 1982.5 2187.5 \n",
- "2020-06-05 1.546643 1548.5 1298.7 \n",
- "2020-06-12 1.565842 1072.0 689.4 \n",
- "2020-06-19 -140.714286 764.0 297.1 \n",
- "2020-06-26 -1.483313 535.5 -163.9 \n",
- "2020-07-03 -5.070423 420.0 -197.3 \n",
- "2020-07-10 -0.445109 306.5 -319.7 \n",
- "2020-07-17 -0.619803 208.5 -416.5 \n",
- "2020-07-24 -0.701180 135.5 -208.6 \n",
- "2020-07-31 -2.488987 110.0 -99.0 \n",
- "2020-08-07 -0.697492 101.0 -86.5 \n",
- "2020-08-14 0.361495 89.0 59.3 \n",
- "2020-08-21 0.100611 72.5 401.4 \n",
- "2020-08-28 -0.164737 65.0 53.7 \n",
- "2020-09-04 -0.753012 62.0 -257.8 \n",
- "2020-09-11 0.143312 65.5 249.4 \n",
- "2020-09-18 0.386146 89.0 408.2 \n",
- "2020-09-25 1.092018 147.0 215.8 \n",
- "2020-10-02 0.519751 248.5 378.8 \n",
- "2020-10-09 2.090032 345.0 381.9 \n",
- "2020-10-16 0.976051 545.5 452.4 \n",
- "2020-10-23 0.861252 877.5 971.0 \n",
- "2020-10-30 1.276798 1331.0 1241.6 \n",
- "2020-11-06 1.259746 1886.5 1489.0 \n",
- "2020-11-13 1.407942 2486.5 1856.5 \n",
- "2020-11-20 1.152632 2827.5 2232.2 \n",
- "2020-11-27 1.397425 3051.5 2400.0 \n",
- "\n",
- " accounted_fraction_m2 \n",
- "2020-03-20 1.462715 \n",
- "2020-03-27 0.823917 \n",
- "2020-04-03 0.461676 \n",
- "2020-04-10 0.554136 \n",
- "2020-04-17 0.560503 \n",
- "2020-04-24 0.478715 \n",
- "2020-05-01 0.502566 \n",
- "2020-05-08 0.693651 \n",
- "2020-05-15 0.752523 \n",
- "2020-05-22 0.641265 \n",
- "2020-05-29 0.906286 \n",
- "2020-06-05 1.192346 \n",
- "2020-06-12 1.554975 \n",
- "2020-06-19 2.571525 \n",
- "2020-06-26 -3.267236 \n",
- "2020-07-03 -2.128738 \n",
- "2020-07-10 -0.958711 \n",
- "2020-07-17 -0.500600 \n",
- "2020-07-24 -0.649569 \n",
- "2020-07-31 -1.111111 \n",
- "2020-08-07 -1.167630 \n",
- "2020-08-14 1.500843 \n",
- "2020-08-21 0.180618 \n",
- "2020-08-28 1.210428 \n",
- "2020-09-04 -0.240497 \n",
- "2020-09-11 0.262630 \n",
- "2020-09-18 0.218030 \n",
- "2020-09-25 0.681186 \n",
- "2020-10-02 0.656019 \n",
- "2020-10-09 0.903378 \n",
- "2020-10-16 1.205791 \n",
- "2020-10-23 0.903708 \n",
- "2020-10-30 1.072004 \n",
- "2020-11-06 1.266958 \n",
- "2020-11-13 1.339348 \n",
- "2020-11-20 1.266688 \n",
- "2020-11-27 1.271458 "
- ]
- },
- "execution_count": 76,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "excess_deaths['covid_deaths_m2'] = excess_deaths.covid_deaths.transform(lambda x: x.rolling(2, 1).mean())\n",
- "excess_deaths['excess_m2'] = excess_deaths.excess.transform(lambda x: x.rolling(2, 1).mean())\n",
- "excess_deaths['accounted_fraction_m2'] = excess_deaths.covid_deaths_m2 / excess_deaths.excess_m2\n",
- "excess_deaths"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 77,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<matplotlib.axes._subplots.AxesSubplot at 0x7f41bf8727d0>"
- ]
- },
- "execution_count": 77,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 432x288 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "excess_deaths[['covid_deaths', 'excess', 'covid_deaths_m2', 'excess_m2']].plot()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 78,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<matplotlib.axes._subplots.AxesSubplot at 0x7f41bf7b8e10>"
- ]
- },
- "execution_count": 78,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 432x288 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "excess_deaths[['accounted_fraction', 'accounted_fraction_m2']].plot()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 79,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "9772.4"
- ]
- },
- "execution_count": 79,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "excess_deaths.tail(5).excess.sum()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 80,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "12684"
- ]
- },
- "execution_count": 80,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "excess_deaths.tail(5).covid_deaths.sum()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 81,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "0.7704509618416903"
- ]
- },
- "execution_count": 81,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "excess_deaths.tail(5).excess.sum() / excess_deaths.tail(5).covid_deaths.sum()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 82,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "0.7624733475479744"
- ]
- },
- "execution_count": 82,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "excess_deaths.tail(3).excess.sum() / excess_deaths.tail(3).covid_deaths.sum()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 83,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "1"
- ]
- },
- "execution_count": 83,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "max(1, excess_deaths.tail(3).excess.sum() / excess_deaths.tail(3).covid_deaths.sum())"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 84,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# with open('excess_death_accuracy.json', 'w') as f:\n",
- "# # json.dump(max(1, excess_deaths.tail(3).excess.sum() / excess_deaths.tail(3).covid_deaths.sum()), f)\n",
- "# json.dump(1, f)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 85,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "'85807'"
- ]
- },
- "execution_count": 85,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "f'{excess_deaths.attributable.sum():.0f}'"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 86,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "excess_death_data = {\n",
- " 'start_date': str(excess_deaths.index[0]),\n",
- " 'end_date': str(excess_deaths.index[-1]),\n",
- " 'excess_deaths': f'{excess_deaths.attributable.sum():.0f}'\n",
- "}\n",
- "\n",
- "with open('excess_deaths.json', 'w') as f:\n",
- " json.dump(excess_death_data, f)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": []
- }
- ],
- "metadata": {
- "kernelspec": {
- "display_name": "Python 3",
- "language": "python",
- "name": "python3"
- },
- "language_info": {
- "codemirror_mode": {
- "name": "ipython",
- "version": 3
- },
- "file_extension": ".py",
- "mimetype": "text/x-python",
- "name": "python",
- "nbconvert_exporter": "python",
- "pygments_lexer": "ipython3",
- "version": "3.8.5"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
+++ /dev/null
-{
- "cells": [
- {
- "cell_type": "markdown",
- "metadata": {
- "Collapsed": "false"
- },
- "source": [
- "Data from:\n",
- "\n",
- "* [Office of National Statistics](https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/datasets/weeklyprovisionalfiguresondeathsregisteredinenglandandwales) (Endland and Wales) Weeks start on a Saturday.\n",
- "* [Northern Ireland Statistics and Research Agency](https://www.nisra.gov.uk/publications/weekly-deaths) (Northern Ireland). Weeks start on a Saturday. Note that the week numbers don't match the England and Wales data.\n",
- "* [National Records of Scotland](https://www.nrscotland.gov.uk/statistics-and-data/statistics/statistics-by-theme/vital-events/general-publications/weekly-and-monthly-data-on-births-and-deaths/weekly-data-on-births-and-deaths) (Scotland). Note that Scotland uses ISO8601 week numbers, which start on a Monday.\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 1,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "import itertools\n",
- "import collections\n",
- "import json\n",
- "import pandas as pd\n",
- "import numpy as np\n",
- "from scipy.stats import gmean\n",
- "import datetime\n",
- "\n",
- "import matplotlib as mpl\n",
- "import matplotlib.pyplot as plt\n",
- "%matplotlib inline\n",
- "\n",
- "from sqlalchemy.types import Integer, Text, String, DateTime, Float\n",
- "from sqlalchemy import create_engine\n",
- "%load_ext sql"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 2,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "connection_string = 'postgresql://covid:3NbjJTkT63@localhost/covid'"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 3,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "'Connected: covid@covid'"
- ]
- },
- "execution_count": 3,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "%sql $connection_string"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 4,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "conn = create_engine(connection_string)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 6,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "england_wales_filename = 'uk-deaths-data/publishedweek532020.xlsx'"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 7,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "Done.\n",
- "Done.\n"
- ]
- },
- {
- "data": {
- "text/plain": [
- "[]"
- ]
- },
- "execution_count": 7,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "%%sql\n",
- "drop table if exists all_causes_deaths;\n",
- "create table all_causes_deaths (\n",
- " week integer,\n",
- " year integer,\n",
- " date_up_to date,\n",
- " nation varchar(20),\n",
- " deaths integer,\n",
- " CONSTRAINT week_nation PRIMARY KEY(year, week, nation)\n",
- ");"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 8,
- "metadata": {
- "Collapsed": "false"
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- "outputs": [
- {
- "data": {
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- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>total_2015</th>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>(Registration Week, Unnamed: 0_level_1)</th>\n",
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- " </tr>\n",
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- "text/plain": [
- " total_2015\n",
- "(Registration Week, Unnamed: 0_level_1) \n",
- "49 294\n",
- "50 343\n",
- "51 301\n",
- "52 232\n",
- "53 232"
- ]
- },
- "execution_count": 8,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "raw_data_2015 = pd.read_csv('uk-deaths-data/Weekly_Deaths_NI_2015.csv', \n",
- " parse_dates=[1, 2], dayfirst=True,\n",
- "# index_col=0,\n",
- " header=[0, 1]\n",
- " )\n",
- "dh15i = raw_data_2015.iloc[:, [0, 3]]\n",
- "dh15i.set_index(dh15i.columns[0], inplace=True)\n",
- "dh15i.columns = ['total_2015']\n",
- "dh15i.tail()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 9,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
- " .dataframe tbody tr th:only-of-type {\n",
- " vertical-align: middle;\n",
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- "\n",
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- " text-align: left;\n",
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- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr>\n",
- " <th></th>\n",
- " <th>Registration Week</th>\n",
- " <th>Week Starts (Saturday)</th>\n",
- " <th>Week Ends (Friday)</th>\n",
- " <th>Total Number of Deaths Registered in Week (2015P)</th>\n",
- " <th>Average number of deaths registered in corresponding week in previous 5 years (2010 to 2014P)</th>\n",
- " <th>Range</th>\n",
- " <th>Unnamed: 6_level_0</th>\n",
- " </tr>\n",
- " <tr>\n",
- " <th></th>\n",
- " <th>Unnamed: 0_level_1</th>\n",
- " <th>Unnamed: 1_level_1</th>\n",
- " <th>Unnamed: 2_level_1</th>\n",
- " <th>Unnamed: 3_level_1</th>\n",
- " <th>Unnamed: 4_level_1</th>\n",
- " <th>Minimum in Previous 5 years</th>\n",
- " <th>Maximum in Previous 5 years</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>0</th>\n",
- " <td>1</td>\n",
- " <td>2014-12-29</td>\n",
- " <td>2015-01-02</td>\n",
- " <td>319</td>\n",
- " <td>317.2</td>\n",
- " <td>248</td>\n",
- " <td>372</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>2</td>\n",
- " <td>2015-01-03</td>\n",
- " <td>2015-01-09</td>\n",
- " <td>373</td>\n",
- " <td>384.0</td>\n",
- " <td>344</td>\n",
- " <td>421</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>3</td>\n",
- " <td>2015-01-10</td>\n",
- " <td>2015-01-16</td>\n",
- " <td>383</td>\n",
- " <td>347.8</td>\n",
- " <td>319</td>\n",
- " <td>373</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>4</td>\n",
- " <td>2015-01-17</td>\n",
- " <td>2015-01-23</td>\n",
- " <td>397</td>\n",
- " <td>319.0</td>\n",
- " <td>282</td>\n",
- " <td>353</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>5</td>\n",
- " <td>2015-01-24</td>\n",
- " <td>2015-01-30</td>\n",
- " <td>374</td>\n",
- " <td>309.2</td>\n",
- " <td>284</td>\n",
- " <td>336</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " Registration Week Week Starts (Saturday) Week Ends (Friday) \\\n",
- " Unnamed: 0_level_1 Unnamed: 1_level_1 Unnamed: 2_level_1 \n",
- "0 1 2014-12-29 2015-01-02 \n",
- "1 2 2015-01-03 2015-01-09 \n",
- "2 3 2015-01-10 2015-01-16 \n",
- "3 4 2015-01-17 2015-01-23 \n",
- "4 5 2015-01-24 2015-01-30 \n",
- "\n",
- " Total Number of Deaths Registered in Week (2015P) \\\n",
- " Unnamed: 3_level_1 \n",
- "0 319 \n",
- "1 373 \n",
- "2 383 \n",
- "3 397 \n",
- "4 374 \n",
- "\n",
- " Average number of deaths registered in corresponding week in previous 5 years (2010 to 2014P) \\\n",
- " Unnamed: 4_level_1 \n",
- "0 317.2 \n",
- "1 384.0 \n",
- "2 347.8 \n",
- "3 319.0 \n",
- "4 309.2 \n",
- "\n",
- " Range Unnamed: 6_level_0 \n",
- " Minimum in Previous 5 years Maximum in Previous 5 years \n",
- "0 248 372 \n",
- "1 344 421 \n",
- "2 319 373 \n",
- "3 282 353 \n",
- "4 284 336 "
- ]
- },
- "execution_count": 9,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "raw_data_2015.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 10,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
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- " <td>Northern Ireland</td>\n",
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- " <th>2</th>\n",
- " <td>3</td>\n",
- " <td>2015-01-16</td>\n",
- " <td>383</td>\n",
- " <td>2015</td>\n",
- " <td>Northern Ireland</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>4</td>\n",
- " <td>2015-01-23</td>\n",
- " <td>397</td>\n",
- " <td>2015</td>\n",
- " <td>Northern Ireland</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>5</td>\n",
- " <td>2015-01-30</td>\n",
- " <td>374</td>\n",
- " <td>2015</td>\n",
- " <td>Northern Ireland</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " week date_up_to deaths year nation\n",
- "0 1 2015-01-02 319 2015 Northern Ireland\n",
- "1 2 2015-01-09 373 2015 Northern Ireland\n",
- "2 3 2015-01-16 383 2015 Northern Ireland\n",
- "3 4 2015-01-23 397 2015 Northern Ireland\n",
- "4 5 2015-01-30 374 2015 Northern Ireland"
- ]
- },
- "execution_count": 10,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "rd = raw_data_2015.iloc[:, [0, 2, 3]].droplevel(1, axis=1).rename(\n",
- " columns={'Week Ends (Friday)': 'date_up_to', 'Total Number of Deaths Registered in Week (2015P)': 'deaths',\n",
- " 'Registration Week': 'week'}\n",
- " )\n",
- "rd['year'] = 2015\n",
- "rd['nation'] = 'Northern Ireland'\n",
- "rd.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 11,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "rd.to_sql(\n",
- " 'all_causes_deaths',\n",
- " conn,\n",
- " if_exists='append',\n",
- " index=False)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 6,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "10 rows affected.\n"
- ]
- },
- {
- "data": {
- "text/html": [
- "<table>\n",
- " <thead>\n",
- " <tr>\n",
- " <th>week</th>\n",
- " <th>year</th>\n",
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- " <th>nation</th>\n",
- " <th>deaths</th>\n",
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- " </thead>\n",
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- " <tr>\n",
- " <td>1</td>\n",
- " <td>2015</td>\n",
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- " <tr>\n",
- " <td>7</td>\n",
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- " <td>Northern Ireland</td>\n",
- " <td>328</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>8</td>\n",
- " <td>2015</td>\n",
- " <td>2015-02-20</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>317</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>9</td>\n",
- " <td>2015</td>\n",
- " <td>2015-02-27</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>401</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>10</td>\n",
- " <td>2015</td>\n",
- " <td>2015-03-06</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>346</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>"
- ],
- "text/plain": [
- "[(1, 2015, datetime.date(2015, 1, 2), 'Northern Ireland', 319),\n",
- " (2, 2015, datetime.date(2015, 1, 9), 'Northern Ireland', 373),\n",
- " (3, 2015, datetime.date(2015, 1, 16), 'Northern Ireland', 383),\n",
- " (4, 2015, datetime.date(2015, 1, 23), 'Northern Ireland', 397),\n",
- " (5, 2015, datetime.date(2015, 1, 30), 'Northern Ireland', 374),\n",
- " (6, 2015, datetime.date(2015, 2, 6), 'Northern Ireland', 347),\n",
- " (7, 2015, datetime.date(2015, 2, 13), 'Northern Ireland', 328),\n",
- " (8, 2015, datetime.date(2015, 2, 20), 'Northern Ireland', 317),\n",
- " (9, 2015, datetime.date(2015, 2, 27), 'Northern Ireland', 401),\n",
- " (10, 2015, datetime.date(2015, 3, 6), 'Northern Ireland', 346)]"
- ]
- },
- "execution_count": 6,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "%sql select * from all_causes_deaths limit 10"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 13,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
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- " <tr>\n",
- " <th>(Registration Week, Unnamed: 0_level_1)</th>\n",
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- "text/plain": [
- " total_2016\n",
- "(Registration Week, Unnamed: 0_level_1) \n",
- "48 303\n",
- "49 322\n",
- "50 324\n",
- "51 360\n",
- "52 199"
- ]
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- "execution_count": 13,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "raw_data_2016 = pd.read_csv('uk-deaths-data/Weekly_Deaths_NI_2016.csv', \n",
- " parse_dates=[1, 2], dayfirst=True,\n",
- "# index_col=0,\n",
- " header=[0, 1]\n",
- " )\n",
- "raw_data_2016.head()\n",
- "# dh16i = raw_data_2016.iloc[:, [2]]\n",
- "# dh16i.columns = ['total_2016']\n",
- "# # dh16i.head()\n",
- "dh16i = raw_data_2016.iloc[:, [0, 3]]\n",
- "dh16i.set_index(dh16i.columns[0], inplace=True)\n",
- "dh16i.columns = ['total_2016']\n",
- "dh16i.tail()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 14,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
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- " <th></th>\n",
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- " <th>date_up_to</th>\n",
- " <th>deaths</th>\n",
- " <th>year</th>\n",
- " <th>nation</th>\n",
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- " <tbody>\n",
- " <tr>\n",
- " <th>0</th>\n",
- " <td>1</td>\n",
- " <td>2016-01-08</td>\n",
- " <td>424</td>\n",
- " <td>2016</td>\n",
- " <td>Northern Ireland</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>2</td>\n",
- " <td>2016-01-15</td>\n",
- " <td>348</td>\n",
- " <td>2016</td>\n",
- " <td>Northern Ireland</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>3</td>\n",
- " <td>2016-01-22</td>\n",
- " <td>372</td>\n",
- " <td>2016</td>\n",
- " <td>Northern Ireland</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>4</td>\n",
- " <td>2016-01-29</td>\n",
- " <td>355</td>\n",
- " <td>2016</td>\n",
- " <td>Northern Ireland</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>5</td>\n",
- " <td>2016-02-05</td>\n",
- " <td>314</td>\n",
- " <td>2016</td>\n",
- " <td>Northern Ireland</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " week date_up_to deaths year nation\n",
- "0 1 2016-01-08 424 2016 Northern Ireland\n",
- "1 2 2016-01-15 348 2016 Northern Ireland\n",
- "2 3 2016-01-22 372 2016 Northern Ireland\n",
- "3 4 2016-01-29 355 2016 Northern Ireland\n",
- "4 5 2016-02-05 314 2016 Northern Ireland"
- ]
- },
- "execution_count": 14,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "rd = raw_data_2016.iloc[:, [0, 2, 3]].droplevel(1, axis=1).rename(\n",
- " columns={'Week Ends (Friday)': 'date_up_to', 'Total Number of Deaths Registered in Week (2016P)': 'deaths',\n",
- " 'Registration Week': 'week'}\n",
- " )\n",
- "rd['year'] = 2016\n",
- "rd['nation'] = 'Northern Ireland'\n",
- "rd.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 15,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "rd.to_sql(\n",
- " 'all_causes_deaths',\n",
- " conn,\n",
- " if_exists='append',\n",
- " index=False)"
- ]
- },
- {
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- "raw_data_2017 = pd.read_csv('uk-deaths-data/Weekly_Deaths_NI_2017.csv', \n",
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- "rd = raw_data_2017.iloc[:, [0, 2, 3]].droplevel(1, axis=1).rename(\n",
- " columns={'Week Ends (Friday)': 'date_up_to', 'Total Number of Deaths Registered in Week (2017P)': 'deaths',\n",
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- "rd.to_sql(\n",
- " 'all_causes_deaths',\n",
- " conn,\n",
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- " index=False)"
- ]
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- "raw_data_2018 = pd.read_csv('uk-deaths-data/Weekly_Deaths_NI_2018.csv', \n",
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- " )\n",
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- " 'all_causes_deaths',\n",
- " conn,\n",
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- " index=False)"
- ]
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- " parse_dates=[1, 2], dayfirst=True,\n",
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- " header=[0, 1]\n",
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- "2 3 2019-01-18 332 2019 Northern Ireland\n",
- "3 4 2019-01-25 335 2019 Northern Ireland\n",
- "4 5 2019-02-01 296 2019 Northern Ireland"
- ]
- },
- "execution_count": 26,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "rd = raw_data_2019.iloc[:, [0, 2, 3]].droplevel(1, axis=1).rename(\n",
- " columns={'Week Ends (Friday)': 'date_up_to', 'Total Number of Deaths Registered in Week (2019P)': 'deaths',\n",
- " 'Registration Week': 'week'}\n",
- " )\n",
- "rd['year'] = 2019\n",
- "rd['nation'] = 'Northern Ireland'\n",
- "rd.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 27,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "rd.to_sql(\n",
- " 'all_causes_deaths',\n",
- " conn,\n",
- " if_exists='append',\n",
- " index=False)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 28,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "5 rows affected.\n"
- ]
- },
- {
- "data": {
- "text/html": [
- "<table>\n",
- " <thead>\n",
- " <tr>\n",
- " <th>year</th>\n",
- " <th>nation</th>\n",
- " <th>count</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <td>2015</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>53</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2018</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2019</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2017</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2016</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>52</td>\n",
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- "text/plain": [
- "[(2015, 'Northern Ireland', 53),\n",
- " (2018, 'Northern Ireland', 52),\n",
- " (2019, 'Northern Ireland', 52),\n",
- " (2017, 'Northern Ireland', 52),\n",
- " (2016, 'Northern Ireland', 52)]"
- ]
- },
- "execution_count": 28,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "%sql select year, nation, count(date_up_to) from all_causes_deaths group by (year, nation)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 29,
- "metadata": {
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- " <th>Average number of deaths registered in corresponding week over previous 5 years (2015 to 2019P)</th>\n",
- " <th>Range</th>\n",
- " <th>Unnamed: 5_level_0</th>\n",
- " <th>Respiratory2 deaths registered in week (2020P)</th>\n",
- " <th>Average number of respiratory2 deaths registered in corresponding week over previous 5 years (2015 to 2019P)</th>\n",
- " <th>Covid-193 deaths registered in week (2020P)</th>\n",
- " <th>Unnamed: 9_level_0</th>\n",
- " <th>Unnamed: 10_level_0</th>\n",
- " <th>Unnamed: 11_level_0</th>\n",
- " <th>Unnamed: 12_level_0</th>\n",
- " </tr>\n",
- " <tr>\n",
- " <th></th>\n",
- " <th>Unnamed: 0_level_1</th>\n",
- " <th>Unnamed: 1_level_1</th>\n",
- " <th>Unnamed: 2_level_1</th>\n",
- " <th>Unnamed: 3_level_1</th>\n",
- " <th>Minimum in Previous 5 years</th>\n",
- " <th>Maximum in Previous 5 years</th>\n",
- " <th>Unnamed: 6_level_1</th>\n",
- " <th>Unnamed: 7_level_1</th>\n",
- " <th>Unnamed: 8_level_1</th>\n",
- " <th>Unnamed: 9_level_1</th>\n",
- " <th>Unnamed: 10_level_1</th>\n",
- " <th>Unnamed: 11_level_1</th>\n",
- " <th>Unnamed: 12_level_1</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>0</th>\n",
- " <td>1</td>\n",
- " <td>2020-01-03</td>\n",
- " <td>353</td>\n",
- " <td>250.0</td>\n",
- " <td>199</td>\n",
- " <td>365</td>\n",
- " <td>0</td>\n",
- " <td>0</td>\n",
- " <td>0</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>2</td>\n",
- " <td>2020-01-10</td>\n",
- " <td>395</td>\n",
- " <td>402.2</td>\n",
- " <td>319</td>\n",
- " <td>481</td>\n",
- " <td>131</td>\n",
- " <td>144</td>\n",
- " <td>0</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>3</td>\n",
- " <td>2020-01-17</td>\n",
- " <td>411</td>\n",
- " <td>391.4</td>\n",
- " <td>332</td>\n",
- " <td>470</td>\n",
- " <td>116</td>\n",
- " <td>127.6</td>\n",
- " <td>0</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>4</td>\n",
- " <td>2020-01-24</td>\n",
- " <td>347</td>\n",
- " <td>382.6</td>\n",
- " <td>335</td>\n",
- " <td>426</td>\n",
- " <td>113</td>\n",
- " <td>123.8</td>\n",
- " <td>0</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>5</td>\n",
- " <td>2020-01-31</td>\n",
- " <td>323</td>\n",
- " <td>373.6</td>\n",
- " <td>296</td>\n",
- " <td>433</td>\n",
- " <td>78</td>\n",
- " <td>124</td>\n",
- " <td>0</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " Registration Week Week Ending (Friday) \\\n",
- " Unnamed: 0_level_1 Unnamed: 1_level_1 \n",
- "0 1 2020-01-03 \n",
- "1 2 2020-01-10 \n",
- "2 3 2020-01-17 \n",
- "3 4 2020-01-24 \n",
- "4 5 2020-01-31 \n",
- "\n",
- " Total Number of Deaths Registered in Week (2020P) \\\n",
- " Unnamed: 2_level_1 \n",
- "0 353 \n",
- "1 395 \n",
- "2 411 \n",
- "3 347 \n",
- "4 323 \n",
- "\n",
- " Average number of deaths registered in corresponding week over previous 5 years (2015 to 2019P) \\\n",
- " Unnamed: 3_level_1 \n",
- "0 250.0 \n",
- "1 402.2 \n",
- "2 391.4 \n",
- "3 382.6 \n",
- "4 373.6 \n",
- "\n",
- " Range Unnamed: 5_level_0 \\\n",
- " Minimum in Previous 5 years Maximum in Previous 5 years \n",
- "0 199 365 \n",
- "1 319 481 \n",
- "2 332 470 \n",
- "3 335 426 \n",
- "4 296 433 \n",
- "\n",
- " Respiratory2 deaths registered in week (2020P) \\\n",
- " Unnamed: 6_level_1 \n",
- "0 0 \n",
- "1 131 \n",
- "2 116 \n",
- "3 113 \n",
- "4 78 \n",
- "\n",
- " Average number of respiratory2 deaths registered in corresponding week over previous 5 years (2015 to 2019P) \\\n",
- " Unnamed: 7_level_1 \n",
- "0 0 \n",
- "1 144 \n",
- "2 127.6 \n",
- "3 123.8 \n",
- "4 124 \n",
- "\n",
- " Covid-193 deaths registered in week (2020P) Unnamed: 9_level_0 \\\n",
- " Unnamed: 8_level_1 Unnamed: 9_level_1 \n",
- "0 0 NaN \n",
- "1 0 NaN \n",
- "2 0 NaN \n",
- "3 0 NaN \n",
- "4 0 NaN \n",
- "\n",
- " Unnamed: 10_level_0 Unnamed: 11_level_0 Unnamed: 12_level_0 \n",
- " Unnamed: 10_level_1 Unnamed: 11_level_1 Unnamed: 12_level_1 \n",
- "0 NaN NaN NaN \n",
- "1 NaN NaN NaN \n",
- "2 NaN NaN NaN \n",
- "3 NaN NaN NaN \n",
- "4 NaN NaN NaN "
- ]
- },
- "execution_count": 29,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "raw_data_2020_i = pd.read_csv('uk-deaths-data/Weekly_Deaths_NI_2020.csv', \n",
- " parse_dates=[1], dayfirst=True,\n",
- " header=[0, 1]\n",
- " )\n",
- "raw_data_2020_i.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 30,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
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- " <th>1</th>\n",
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- " <td>2020-01-31</td>\n",
- " <td>323</td>\n",
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- "text/plain": [
- " week date_up_to deaths year nation\n",
- "0 1 2020-01-03 353 2020 Northern Ireland\n",
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- "2 3 2020-01-17 411 2020 Northern Ireland\n",
- "3 4 2020-01-24 347 2020 Northern Ireland\n",
- "4 5 2020-01-31 323 2020 Northern Ireland"
- ]
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- "execution_count": 30,
- "metadata": {},
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- }
- ],
- "source": [
- "rd = raw_data_2020_i.iloc[:, [0, 1, 2]].droplevel(1, axis=1).rename(\n",
- " columns={'Week Ending (Friday)': 'date_up_to', 'Total Number of Deaths Registered in Week (2020P)': 'deaths',\n",
- " 'Registration Week': 'week'}\n",
- " )\n",
- "rd['year'] = 2020\n",
- "rd['nation'] = 'Northern Ireland'\n",
- "rd.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 31,
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- " <th>48</th>\n",
- " <td>49</td>\n",
- " <td>2020-12-04</td>\n",
- " <td>387</td>\n",
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- " <th>49</th>\n",
- " <td>50</td>\n",
- " <td>2020-12-11</td>\n",
- " <td>366</td>\n",
- " <td>2020</td>\n",
- " <td>Northern Ireland</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>50</th>\n",
- " <td>51</td>\n",
- " <td>2020-12-18</td>\n",
- " <td>350</td>\n",
- " <td>2020</td>\n",
- " <td>Northern Ireland</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>51</th>\n",
- " <td>52</td>\n",
- " <td>2020-12-25</td>\n",
- " <td>310</td>\n",
- " <td>2020</td>\n",
- " <td>Northern Ireland</td>\n",
- " </tr>\n",
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- " <td>53</td>\n",
- " <td>2021-01-01</td>\n",
- " <td>333</td>\n",
- " <td>2020</td>\n",
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- " week date_up_to deaths year nation\n",
- "48 49 2020-12-04 387 2020 Northern Ireland\n",
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- "50 51 2020-12-18 350 2020 Northern Ireland\n",
- "51 52 2020-12-25 310 2020 Northern Ireland\n",
- "52 53 2021-01-01 333 2020 Northern Ireland"
- ]
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- "execution_count": 31,
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- "source": [
- "rd.tail()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 32,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "rd.to_sql(\n",
- " 'all_causes_deaths',\n",
- " conn,\n",
- " if_exists='append',\n",
- " index=False)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 33,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
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- " * postgresql://covid:***@localhost/covid\n",
- "6 rows affected.\n"
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- " <td>2015</td>\n",
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- " <th>Minimum in Previous 5 years</th>\n",
- " <th>Maximum in Previous 5 years</th>\n",
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- " <th>Unnamed: 12_level_1</th>\n",
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- " <tr>\n",
- " <th>(Registration Week, Unnamed: 0_level_1)</th>\n",
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- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>49</th>\n",
- " <td>2020-12-04</td>\n",
- " <td>387</td>\n",
- " <td>322.0</td>\n",
- " <td>279</td>\n",
- " <td>355</td>\n",
- " <td>-</td>\n",
- " <td>-</td>\n",
- " <td>-</td>\n",
- " <td>155.0</td>\n",
- " <td>87.0</td>\n",
- " <td>-</td>\n",
- " <td>98.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>50</th>\n",
- " <td>2020-12-11</td>\n",
- " <td>366</td>\n",
- " <td>322.0</td>\n",
- " <td>294</td>\n",
- " <td>353</td>\n",
- " <td>-</td>\n",
- " <td>-</td>\n",
- " <td>-</td>\n",
- " <td>138.0</td>\n",
- " <td>93.0</td>\n",
- " <td>-</td>\n",
- " <td>87.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>51</th>\n",
- " <td>2020-12-18</td>\n",
- " <td>350</td>\n",
- " <td>344.0</td>\n",
- " <td>317</td>\n",
- " <td>372</td>\n",
- " <td>-</td>\n",
- " <td>-</td>\n",
- " <td>-</td>\n",
- " <td>140.0</td>\n",
- " <td>102.0</td>\n",
- " <td>-</td>\n",
- " <td>82.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>52</th>\n",
- " <td>2020-12-25</td>\n",
- " <td>310</td>\n",
- " <td>281.0</td>\n",
- " <td>194</td>\n",
- " <td>360</td>\n",
- " <td>-</td>\n",
- " <td>-</td>\n",
- " <td>-</td>\n",
- " <td>132.0</td>\n",
- " <td>92.0</td>\n",
- " <td>-</td>\n",
- " <td>88.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>53</th>\n",
- " <td>2021-01-01</td>\n",
- " <td>333</td>\n",
- " <td>280.0</td>\n",
- " <td>199</td>\n",
- " <td>365</td>\n",
- " <td>-</td>\n",
- " <td>-</td>\n",
- " <td>-</td>\n",
- " <td>146.0</td>\n",
- " <td>97.0</td>\n",
- " <td>-</td>\n",
- " <td>94.0</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " Week Ending (Friday) \\\n",
- " Unnamed: 1_level_1 \n",
- "(Registration Week, Unnamed: 0_level_1) \n",
- "49 2020-12-04 \n",
- "50 2020-12-11 \n",
- "51 2020-12-18 \n",
- "52 2020-12-25 \n",
- "53 2021-01-01 \n",
- "\n",
- " Total Number of Deaths Registered in Week (2020P) \\\n",
- " Unnamed: 2_level_1 \n",
- "(Registration Week, Unnamed: 0_level_1) \n",
- "49 387 \n",
- "50 366 \n",
- "51 350 \n",
- "52 310 \n",
- "53 333 \n",
- "\n",
- " Average number of deaths registered in corresponding week over previous 5 years (2015 to 2019P) \\\n",
- " Unnamed: 3_level_1 \n",
- "(Registration Week, Unnamed: 0_level_1) \n",
- "49 322.0 \n",
- "50 322.0 \n",
- "51 344.0 \n",
- "52 281.0 \n",
- "53 280.0 \n",
- "\n",
- " Range \\\n",
- " Minimum in Previous 5 years \n",
- "(Registration Week, Unnamed: 0_level_1) \n",
- "49 279 \n",
- "50 294 \n",
- "51 317 \n",
- "52 194 \n",
- "53 199 \n",
- "\n",
- " Unnamed: 5_level_0 \\\n",
- " Maximum in Previous 5 years \n",
- "(Registration Week, Unnamed: 0_level_1) \n",
- "49 355 \n",
- "50 353 \n",
- "51 372 \n",
- "52 360 \n",
- "53 365 \n",
- "\n",
- " Respiratory2 deaths registered in week (2020P) \\\n",
- " Unnamed: 6_level_1 \n",
- "(Registration Week, Unnamed: 0_level_1) \n",
- "49 - \n",
- "50 - \n",
- "51 - \n",
- "52 - \n",
- "53 - \n",
- "\n",
- " Average number of respiratory2 deaths registered in corresponding week over previous 5 years (2015 to 2019P) \\\n",
- " Unnamed: 7_level_1 \n",
- "(Registration Week, Unnamed: 0_level_1) \n",
- "49 - \n",
- "50 - \n",
- "51 - \n",
- "52 - \n",
- "53 - \n",
- "\n",
- " Covid-193 deaths registered in week (2020P) \\\n",
- " Unnamed: 8_level_1 \n",
- "(Registration Week, Unnamed: 0_level_1) \n",
- "49 - \n",
- "50 - \n",
- "51 - \n",
- "52 - \n",
- "53 - \n",
- "\n",
- " Unnamed: 9_level_0 \\\n",
- " Unnamed: 9_level_1 \n",
- "(Registration Week, Unnamed: 0_level_1) \n",
- "49 155.0 \n",
- "50 138.0 \n",
- "51 140.0 \n",
- "52 132.0 \n",
- "53 146.0 \n",
- "\n",
- " Unnamed: 10_level_0 \\\n",
- " Unnamed: 10_level_1 \n",
- "(Registration Week, Unnamed: 0_level_1) \n",
- "49 87.0 \n",
- "50 93.0 \n",
- "51 102.0 \n",
- "52 92.0 \n",
- "53 97.0 \n",
- "\n",
- " Unnamed: 11_level_0 \\\n",
- " Unnamed: 11_level_1 \n",
- "(Registration Week, Unnamed: 0_level_1) \n",
- "49 - \n",
- "50 - \n",
- "51 - \n",
- "52 - \n",
- "53 - \n",
- "\n",
- " Unnamed: 12_level_0 \n",
- " Unnamed: 12_level_1 \n",
- "(Registration Week, Unnamed: 0_level_1) \n",
- "49 98.0 \n",
- "50 87.0 \n",
- "51 82.0 \n",
- "52 88.0 \n",
- "53 94.0 "
- ]
- },
- "execution_count": 34,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "raw_data_2020_i.set_index(raw_data_2020_i.columns[0], inplace=True)\n",
- "raw_data_2020_i.tail()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 35,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "(2021, 3, 3)"
- ]
- },
- "execution_count": 35,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "datetime.datetime.now().isocalendar()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 36,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "datetime.datetime(2021, 1, 18, 0, 0)"
- ]
- },
- "execution_count": 36,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "datetime.datetime.fromisocalendar(2021, 3, 1)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": 37,
- "metadata": {
- "Collapsed": "false",
- "scrolled": true
- },
- "outputs": [],
- "source": [
- "raw_data_s = pd.read_csv('uk-deaths-data/weekly-deaths-scotland.csv', \n",
- " index_col=0,\n",
- " header=0,\n",
- " skiprows=2\n",
- " )\n",
- "# raw_data_s"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 38,
- "metadata": {
- "Collapsed": "false",
- "scrolled": true
- },
- "outputs": [
- {
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- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>total_2020</th>\n",
- " <th>total_2019</th>\n",
- " <th>total_2018</th>\n",
- " <th>total_2017</th>\n",
- " <th>total_2016</th>\n",
- " <th>total_2015</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>1161</td>\n",
- " <td>1104.0</td>\n",
- " <td>1531.0</td>\n",
- " <td>1205.0</td>\n",
- " <td>1394.0</td>\n",
- " <td>1146</td>\n",
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- " <tr>\n",
- " <th>2</th>\n",
- " <td>1567</td>\n",
- " <td>1507.0</td>\n",
- " <td>1899.0</td>\n",
- " <td>1379.0</td>\n",
- " <td>1305.0</td>\n",
- " <td>1708</td>\n",
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- " <tr>\n",
- " <th>3</th>\n",
- " <td>1322</td>\n",
- " <td>1353.0</td>\n",
- " <td>1629.0</td>\n",
- " <td>1224.0</td>\n",
- " <td>1215.0</td>\n",
- " <td>1489</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>1226</td>\n",
- " <td>1208.0</td>\n",
- " <td>1610.0</td>\n",
- " <td>1197.0</td>\n",
- " <td>1187.0</td>\n",
- " <td>1381</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>5</th>\n",
- " <td>1188</td>\n",
- " <td>1206.0</td>\n",
- " <td>1369.0</td>\n",
- " <td>1332.0</td>\n",
- " <td>1205.0</td>\n",
- " <td>1286</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>6</th>\n",
- " <td>1216</td>\n",
- " <td>1243.0</td>\n",
- " <td>1265.0</td>\n",
- " <td>1200.0</td>\n",
- " <td>1217.0</td>\n",
- " <td>1344</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>7</th>\n",
- " <td>1162</td>\n",
- " <td>1181.0</td>\n",
- " <td>1315.0</td>\n",
- " <td>1231.0</td>\n",
- " <td>1209.0</td>\n",
- " <td>1360</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>8</th>\n",
- " <td>1162</td>\n",
- " <td>1245.0</td>\n",
- " <td>1245.0</td>\n",
- " <td>1185.0</td>\n",
- " <td>1239.0</td>\n",
- " <td>1320</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>9</th>\n",
- " <td>1171</td>\n",
- " <td>1125.0</td>\n",
- " <td>1022.0</td>\n",
- " <td>1219.0</td>\n",
- " <td>1150.0</td>\n",
- " <td>1308</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>10</th>\n",
- " <td>1208</td>\n",
- " <td>1156.0</td>\n",
- " <td>1475.0</td>\n",
- " <td>1146.0</td>\n",
- " <td>1174.0</td>\n",
- " <td>1192</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>11</th>\n",
- " <td>1156</td>\n",
- " <td>1108.0</td>\n",
- " <td>1220.0</td>\n",
- " <td>1141.0</td>\n",
- " <td>1175.0</td>\n",
- " <td>1201</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>12</th>\n",
- " <td>1196</td>\n",
- " <td>1101.0</td>\n",
- " <td>1158.0</td>\n",
- " <td>1152.0</td>\n",
- " <td>1042.0</td>\n",
- " <td>1149</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>13</th>\n",
- " <td>1079</td>\n",
- " <td>1086.0</td>\n",
- " <td>1050.0</td>\n",
- " <td>1112.0</td>\n",
- " <td>1172.0</td>\n",
- " <td>1171</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>14</th>\n",
- " <td>1744</td>\n",
- " <td>1032.0</td>\n",
- " <td>1192.0</td>\n",
- " <td>1060.0</td>\n",
- " <td>1166.0</td>\n",
- " <td>1042</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>15</th>\n",
- " <td>1978</td>\n",
- " <td>1069.0</td>\n",
- " <td>1192.0</td>\n",
- " <td>998.0</td>\n",
- " <td>1048.0</td>\n",
- " <td>1192</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>16</th>\n",
- " <td>1916</td>\n",
- " <td>902.0</td>\n",
- " <td>1136.0</td>\n",
- " <td>1111.0</td>\n",
- " <td>1092.0</td>\n",
- " <td>1095</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>17</th>\n",
- " <td>1836</td>\n",
- " <td>1121.0</td>\n",
- " <td>1008.0</td>\n",
- " <td>1121.0</td>\n",
- " <td>1076.0</td>\n",
- " <td>1108</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>18</th>\n",
- " <td>1679</td>\n",
- " <td>1131.0</td>\n",
- " <td>1093.0</td>\n",
- " <td>1050.0</td>\n",
- " <td>1006.0</td>\n",
- " <td>1117</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>19</th>\n",
- " <td>1435</td>\n",
- " <td>1018.0</td>\n",
- " <td>967.0</td>\n",
- " <td>1119.0</td>\n",
- " <td>1047.0</td>\n",
- " <td>1020</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>20</th>\n",
- " <td>1421</td>\n",
- " <td>1115.0</td>\n",
- " <td>977.0</td>\n",
- " <td>1115.0</td>\n",
- " <td>1010.0</td>\n",
- " <td>1103</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>21</th>\n",
- " <td>1226</td>\n",
- " <td>1061.0</td>\n",
- " <td>1070.0</td>\n",
- " <td>1063.0</td>\n",
- " <td>994.0</td>\n",
- " <td>1039</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>22</th>\n",
- " <td>1125</td>\n",
- " <td>1029.0</td>\n",
- " <td>998.0</td>\n",
- " <td>1015.0</td>\n",
- " <td>999.0</td>\n",
- " <td>1043</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>23</th>\n",
- " <td>1093</td>\n",
- " <td>1042.0</td>\n",
- " <td>1033.0</td>\n",
- " <td>1076.0</td>\n",
- " <td>1023.0</td>\n",
- " <td>1106</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>24</th>\n",
- " <td>1034</td>\n",
- " <td>1028.0</td>\n",
- " <td>915.0</td>\n",
- " <td>1031.0</td>\n",
- " <td>988.0</td>\n",
- " <td>1038</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>25</th>\n",
- " <td>1065</td>\n",
- " <td>1053.0</td>\n",
- " <td>993.0</td>\n",
- " <td>1032.0</td>\n",
- " <td>994.0</td>\n",
- " <td>1025</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>26</th>\n",
- " <td>1008</td>\n",
- " <td>1051.0</td>\n",
- " <td>1046.0</td>\n",
- " <td>994.0</td>\n",
- " <td>1007.0</td>\n",
- " <td>1032</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>27</th>\n",
- " <td>983</td>\n",
- " <td>981.0</td>\n",
- " <td>1041.0</td>\n",
- " <td>1040.0</td>\n",
- " <td>988.0</td>\n",
- " <td>1040</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>28</th>\n",
- " <td>976</td>\n",
- " <td>1077.0</td>\n",
- " <td>1002.0</td>\n",
- " <td>1014.0</td>\n",
- " <td>1022.0</td>\n",
- " <td>1011</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>29</th>\n",
- " <td>1033</td>\n",
- " <td>964.0</td>\n",
- " <td>928.0</td>\n",
- " <td>1025.0</td>\n",
- " <td>1041.0</td>\n",
- " <td>1023</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>30</th>\n",
- " <td>961</td>\n",
- " <td>1041.0</td>\n",
- " <td>933.0</td>\n",
- " <td>978.0</td>\n",
- " <td>979.0</td>\n",
- " <td>956</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>31</th>\n",
- " <td>1043</td>\n",
- " <td>1020.0</td>\n",
- " <td>969.0</td>\n",
- " <td>1011.0</td>\n",
- " <td>987.0</td>\n",
- " <td>985</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>32</th>\n",
- " <td>1011</td>\n",
- " <td>1018.0</td>\n",
- " <td>953.0</td>\n",
- " <td>1002.0</td>\n",
- " <td>997.0</td>\n",
- " <td>1043</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>33</th>\n",
- " <td>922</td>\n",
- " <td>1028.0</td>\n",
- " <td>978.0</td>\n",
- " <td>1004.0</td>\n",
- " <td>982.0</td>\n",
- " <td>969</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>34</th>\n",
- " <td>1046</td>\n",
- " <td>1011.0</td>\n",
- " <td>941.0</td>\n",
- " <td>1045.0</td>\n",
- " <td>1017.0</td>\n",
- " <td>982</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>35</th>\n",
- " <td>1029</td>\n",
- " <td>1013.0</td>\n",
- " <td>930.0</td>\n",
- " <td>980.0</td>\n",
- " <td>1039.0</td>\n",
- " <td>954</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>36</th>\n",
- " <td>1050</td>\n",
- " <td>980.0</td>\n",
- " <td>970.0</td>\n",
- " <td>1006.0</td>\n",
- " <td>1007.0</td>\n",
- " <td>977</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>37</th>\n",
- " <td>1069</td>\n",
- " <td>1074.0</td>\n",
- " <td>1020.0</td>\n",
- " <td>972.0</td>\n",
- " <td>983.0</td>\n",
- " <td>991</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>38</th>\n",
- " <td>952</td>\n",
- " <td>1071.0</td>\n",
- " <td>946.0</td>\n",
- " <td>1049.0</td>\n",
- " <td>966.0</td>\n",
- " <td>1001</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>39</th>\n",
- " <td>933</td>\n",
- " <td>1142.0</td>\n",
- " <td>1015.0</td>\n",
- " <td>1056.0</td>\n",
- " <td>1009.0</td>\n",
- " <td>1010</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>40</th>\n",
- " <td>1195</td>\n",
- " <td>1051.0</td>\n",
- " <td>1042.0</td>\n",
- " <td>1016.0</td>\n",
- " <td>1072.0</td>\n",
- " <td>1008</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>41</th>\n",
- " <td>1071</td>\n",
- " <td>1143.0</td>\n",
- " <td>1081.0</td>\n",
- " <td>1133.0</td>\n",
- " <td>1009.0</td>\n",
- " <td>1028</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>42</th>\n",
- " <td>1131</td>\n",
- " <td>1153.0</td>\n",
- " <td>1031.0</td>\n",
- " <td>1067.0</td>\n",
- " <td>1070.0</td>\n",
- " <td>989</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>43</th>\n",
- " <td>1187</td>\n",
- " <td>1115.0</td>\n",
- " <td>1019.0</td>\n",
- " <td>1095.0</td>\n",
- " <td>1052.0</td>\n",
- " <td>981</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>44</th>\n",
- " <td>1262</td>\n",
- " <td>1101.0</td>\n",
- " <td>1085.0</td>\n",
- " <td>1062.0</td>\n",
- " <td>1032.0</td>\n",
- " <td>1116</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>45</th>\n",
- " <td>1250</td>\n",
- " <td>1184.0</td>\n",
- " <td>1144.0</td>\n",
- " <td>1126.0</td>\n",
- " <td>1043.0</td>\n",
- " <td>1028</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>46</th>\n",
- " <td>1138</td>\n",
- " <td>1160.0</td>\n",
- " <td>1084.0</td>\n",
- " <td>1175.0</td>\n",
- " <td>1174.0</td>\n",
- " <td>1103</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>47</th>\n",
- " <td>1360</td>\n",
- " <td>1229.0</td>\n",
- " <td>1058.0</td>\n",
- " <td>1178.0</td>\n",
- " <td>1132.0</td>\n",
- " <td>1054</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>48</th>\n",
- " <td>1328</td>\n",
- " <td>1163.0</td>\n",
- " <td>1062.0</td>\n",
- " <td>1153.0</td>\n",
- " <td>1159.0</td>\n",
- " <td>1115</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>49</th>\n",
- " <td>1296</td>\n",
- " <td>1108.0</td>\n",
- " <td>1076.0</td>\n",
- " <td>1237.0</td>\n",
- " <td>1188.0</td>\n",
- " <td>1089</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>50</th>\n",
- " <td>1284</td>\n",
- " <td>1312.0</td>\n",
- " <td>1212.0</td>\n",
- " <td>1335.0</td>\n",
- " <td>1219.0</td>\n",
- " <td>1101</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>51</th>\n",
- " <td>1297</td>\n",
- " <td>1277.0</td>\n",
- " <td>1216.0</td>\n",
- " <td>1437.0</td>\n",
- " <td>1284.0</td>\n",
- " <td>1146</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>52</th>\n",
- " <td>1205</td>\n",
- " <td>1000.0</td>\n",
- " <td>1058.0</td>\n",
- " <td>1168.0</td>\n",
- " <td>1133.0</td>\n",
- " <td>944</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>53</th>\n",
- " <td>1178</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>1018</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " total_2020 total_2019 total_2018 total_2017 total_2016 total_2015\n",
- "1 1161 1104.0 1531.0 1205.0 1394.0 1146\n",
- "2 1567 1507.0 1899.0 1379.0 1305.0 1708\n",
- "3 1322 1353.0 1629.0 1224.0 1215.0 1489\n",
- "4 1226 1208.0 1610.0 1197.0 1187.0 1381\n",
- "5 1188 1206.0 1369.0 1332.0 1205.0 1286\n",
- "6 1216 1243.0 1265.0 1200.0 1217.0 1344\n",
- "7 1162 1181.0 1315.0 1231.0 1209.0 1360\n",
- "8 1162 1245.0 1245.0 1185.0 1239.0 1320\n",
- "9 1171 1125.0 1022.0 1219.0 1150.0 1308\n",
- "10 1208 1156.0 1475.0 1146.0 1174.0 1192\n",
- "11 1156 1108.0 1220.0 1141.0 1175.0 1201\n",
- "12 1196 1101.0 1158.0 1152.0 1042.0 1149\n",
- "13 1079 1086.0 1050.0 1112.0 1172.0 1171\n",
- "14 1744 1032.0 1192.0 1060.0 1166.0 1042\n",
- "15 1978 1069.0 1192.0 998.0 1048.0 1192\n",
- "16 1916 902.0 1136.0 1111.0 1092.0 1095\n",
- "17 1836 1121.0 1008.0 1121.0 1076.0 1108\n",
- "18 1679 1131.0 1093.0 1050.0 1006.0 1117\n",
- "19 1435 1018.0 967.0 1119.0 1047.0 1020\n",
- "20 1421 1115.0 977.0 1115.0 1010.0 1103\n",
- "21 1226 1061.0 1070.0 1063.0 994.0 1039\n",
- "22 1125 1029.0 998.0 1015.0 999.0 1043\n",
- "23 1093 1042.0 1033.0 1076.0 1023.0 1106\n",
- "24 1034 1028.0 915.0 1031.0 988.0 1038\n",
- "25 1065 1053.0 993.0 1032.0 994.0 1025\n",
- "26 1008 1051.0 1046.0 994.0 1007.0 1032\n",
- "27 983 981.0 1041.0 1040.0 988.0 1040\n",
- "28 976 1077.0 1002.0 1014.0 1022.0 1011\n",
- "29 1033 964.0 928.0 1025.0 1041.0 1023\n",
- "30 961 1041.0 933.0 978.0 979.0 956\n",
- "31 1043 1020.0 969.0 1011.0 987.0 985\n",
- "32 1011 1018.0 953.0 1002.0 997.0 1043\n",
- "33 922 1028.0 978.0 1004.0 982.0 969\n",
- "34 1046 1011.0 941.0 1045.0 1017.0 982\n",
- "35 1029 1013.0 930.0 980.0 1039.0 954\n",
- "36 1050 980.0 970.0 1006.0 1007.0 977\n",
- "37 1069 1074.0 1020.0 972.0 983.0 991\n",
- "38 952 1071.0 946.0 1049.0 966.0 1001\n",
- "39 933 1142.0 1015.0 1056.0 1009.0 1010\n",
- "40 1195 1051.0 1042.0 1016.0 1072.0 1008\n",
- "41 1071 1143.0 1081.0 1133.0 1009.0 1028\n",
- "42 1131 1153.0 1031.0 1067.0 1070.0 989\n",
- "43 1187 1115.0 1019.0 1095.0 1052.0 981\n",
- "44 1262 1101.0 1085.0 1062.0 1032.0 1116\n",
- "45 1250 1184.0 1144.0 1126.0 1043.0 1028\n",
- "46 1138 1160.0 1084.0 1175.0 1174.0 1103\n",
- "47 1360 1229.0 1058.0 1178.0 1132.0 1054\n",
- "48 1328 1163.0 1062.0 1153.0 1159.0 1115\n",
- "49 1296 1108.0 1076.0 1237.0 1188.0 1089\n",
- "50 1284 1312.0 1212.0 1335.0 1219.0 1101\n",
- "51 1297 1277.0 1216.0 1437.0 1284.0 1146\n",
- "52 1205 1000.0 1058.0 1168.0 1133.0 944\n",
- "53 1178 NaN NaN NaN NaN 1018"
- ]
- },
- "execution_count": 38,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "deaths_headlines_s = raw_data_s[reversed('2015 2016 2017 2018 2019 2020'.split())]\n",
- "deaths_headlines_s.columns = ['total_' + c for c in deaths_headlines_s.columns]\n",
- "deaths_headlines_s.reset_index(drop=True, inplace=True)\n",
- "deaths_headlines_s.index = deaths_headlines_s.index + 1\n",
- "deaths_headlines_s"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 39,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "5 rows affected.\n"
- ]
- },
- {
- "data": {
- "text/html": [
- "<table>\n",
- " <thead>\n",
- " <tr>\n",
- " <th>week</th>\n",
- " <th>year</th>\n",
- " <th>date_up_to</th>\n",
- " <th>nation</th>\n",
- " <th>deaths</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <td>1</td>\n",
- " <td>2015</td>\n",
- " <td>2015-01-02</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>319</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2</td>\n",
- " <td>2015</td>\n",
- " <td>2015-01-09</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>373</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>3</td>\n",
- " <td>2015</td>\n",
- " <td>2015-01-16</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>383</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>4</td>\n",
- " <td>2015</td>\n",
- " <td>2015-01-23</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>397</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>5</td>\n",
- " <td>2015</td>\n",
- " <td>2015-01-30</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>374</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>"
- ],
- "text/plain": [
- "[(1, 2015, datetime.date(2015, 1, 2), 'Northern Ireland', 319),\n",
- " (2, 2015, datetime.date(2015, 1, 9), 'Northern Ireland', 373),\n",
- " (3, 2015, datetime.date(2015, 1, 16), 'Northern Ireland', 383),\n",
- " (4, 2015, datetime.date(2015, 1, 23), 'Northern Ireland', 397),\n",
- " (5, 2015, datetime.date(2015, 1, 30), 'Northern Ireland', 374)]"
- ]
- },
- "execution_count": 39,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "%sql select * from all_causes_deaths limit 5"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 40,
- "metadata": {
- "Collapsed": "false",
- "scrolled": true
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
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- "1 rows affected.\n",
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- "1 rows affected.\n",
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- "1 rows affected.\n",
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- "1 rows affected.\n",
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- "1 rows affected.\n",
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- "1 rows affected.\n",
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- "1 rows affected.\n",
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- "1 rows affected.\n",
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- "1 rows affected.\n",
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- "1 rows affected.\n",
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- "1 rows affected.\n",
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- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n"
- ]
- }
- ],
- "source": [
- "for year, ser in deaths_headlines_s.items():\n",
- " year_i = int(year[-4:])\n",
- "# print(year_i)\n",
- " for week, deaths in ser.dropna().iteritems():\n",
- "# print(datetime.date.fromisocalendar(year_i, week, 7), deaths)\n",
- " dut = datetime.date.fromisocalendar(year_i, week, 7)\n",
- " %sql insert into all_causes_deaths(week, year, date_up_to, nation, deaths) values ({week}, {year_i}, :dut, 'Scotland', {deaths})"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 41,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "12 rows affected.\n"
- ]
- },
- {
- "data": {
- "text/html": [
- "<table>\n",
- " <thead>\n",
- " <tr>\n",
- " <th>year</th>\n",
- " <th>nation</th>\n",
- " <th>count</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <td>2015</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>53</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2016</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2017</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2018</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2019</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>53</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2015</td>\n",
- " <td>Scotland</td>\n",
- " <td>53</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2016</td>\n",
- " <td>Scotland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2017</td>\n",
- " <td>Scotland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2018</td>\n",
- " <td>Scotland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2019</td>\n",
- " <td>Scotland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020</td>\n",
- " <td>Scotland</td>\n",
- " <td>53</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>"
- ],
- "text/plain": [
- "[(2015, 'Northern Ireland', 53),\n",
- " (2016, 'Northern Ireland', 52),\n",
- " (2017, 'Northern Ireland', 52),\n",
- " (2018, 'Northern Ireland', 52),\n",
- " (2019, 'Northern Ireland', 52),\n",
- " (2020, 'Northern Ireland', 53),\n",
- " (2015, 'Scotland', 53),\n",
- " (2016, 'Scotland', 52),\n",
- " (2017, 'Scotland', 52),\n",
- " (2018, 'Scotland', 52),\n",
- " (2019, 'Scotland', 52),\n",
- " (2020, 'Scotland', 53)]"
- ]
- },
- "execution_count": 41,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "%sql select year, nation, count(date_up_to) from all_causes_deaths group by (year, nation) order by nation, year"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 42,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "12 rows affected.\n"
- ]
- },
- {
- "data": {
- "text/html": [
- "<table>\n",
- " <thead>\n",
- " <tr>\n",
- " <th>year</th>\n",
- " <th>nation</th>\n",
- " <th>date_up_to</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <td>2015</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>2015-01-16</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2015</td>\n",
- " <td>Scotland</td>\n",
- " <td>2015-01-18</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2016</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>2016-01-22</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2016</td>\n",
- " <td>Scotland</td>\n",
- " <td>2016-01-24</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2017</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>2017-01-20</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2017</td>\n",
- " <td>Scotland</td>\n",
- " <td>2017-01-22</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2018</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>2018-01-19</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2018</td>\n",
- " <td>Scotland</td>\n",
- " <td>2018-01-21</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2019</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>2019-01-18</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2019</td>\n",
- " <td>Scotland</td>\n",
- " <td>2019-01-20</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>2020-01-17</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020</td>\n",
- " <td>Scotland</td>\n",
- " <td>2020-01-19</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>"
- ],
- "text/plain": [
- "[(2015, 'Northern Ireland', datetime.date(2015, 1, 16)),\n",
- " (2015, 'Scotland', datetime.date(2015, 1, 18)),\n",
- " (2016, 'Northern Ireland', datetime.date(2016, 1, 22)),\n",
- " (2016, 'Scotland', datetime.date(2016, 1, 24)),\n",
- " (2017, 'Northern Ireland', datetime.date(2017, 1, 20)),\n",
- " (2017, 'Scotland', datetime.date(2017, 1, 22)),\n",
- " (2018, 'Northern Ireland', datetime.date(2018, 1, 19)),\n",
- " (2018, 'Scotland', datetime.date(2018, 1, 21)),\n",
- " (2019, 'Northern Ireland', datetime.date(2019, 1, 18)),\n",
- " (2019, 'Scotland', datetime.date(2019, 1, 20)),\n",
- " (2020, 'Northern Ireland', datetime.date(2020, 1, 17)),\n",
- " (2020, 'Scotland', datetime.date(2020, 1, 19))]"
- ]
- },
- "execution_count": 42,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "%sql select year, nation, date_up_to from all_causes_deaths where week=3 order by year, nation"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 43,
- "metadata": {
- "Collapsed": "false",
- "scrolled": true
- },
- "outputs": [
- {
- "data": {
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- " <td>9941</td>\n",
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- " <td>9289</td>\n",
- " <td>NaN</td>\n",
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- " <td>2503</td>\n",
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- " <td>1418</td>\n",
- " <td>1975</td>\n",
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- " <th>19</th>\n",
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- " <td>1449</td>\n",
- " <td>772</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>21</th>\n",
- " <td>2020-05-22 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>12288</td>\n",
- " <td>NaN</td>\n",
- " <td>9940</td>\n",
- " <td>NaN</td>\n",
- " <td>9299</td>\n",
- " <td>NaN</td>\n",
- " <td>614</td>\n",
- " <td>...</td>\n",
- " <td>718</td>\n",
- " <td>1636</td>\n",
- " <td>1236</td>\n",
- " <td>1041</td>\n",
- " <td>1319</td>\n",
- " <td>1397</td>\n",
- " <td>1125</td>\n",
- " <td>1937</td>\n",
- " <td>1177</td>\n",
- " <td>692</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>22</th>\n",
- " <td>2020-05-29 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9824</td>\n",
- " <td>NaN</td>\n",
- " <td>8171</td>\n",
- " <td>NaN</td>\n",
- " <td>7607</td>\n",
- " <td>NaN</td>\n",
- " <td>546</td>\n",
- " <td>...</td>\n",
- " <td>550</td>\n",
- " <td>1337</td>\n",
- " <td>1046</td>\n",
- " <td>863</td>\n",
- " <td>970</td>\n",
- " <td>1095</td>\n",
- " <td>841</td>\n",
- " <td>1515</td>\n",
- " <td>1011</td>\n",
- " <td>587</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>23</th>\n",
- " <td>2020-06-05 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10709</td>\n",
- " <td>NaN</td>\n",
- " <td>9977</td>\n",
- " <td>NaN</td>\n",
- " <td>9346</td>\n",
- " <td>NaN</td>\n",
- " <td>610</td>\n",
- " <td>...</td>\n",
- " <td>576</td>\n",
- " <td>1478</td>\n",
- " <td>1090</td>\n",
- " <td>931</td>\n",
- " <td>1172</td>\n",
- " <td>1131</td>\n",
- " <td>891</td>\n",
- " <td>1610</td>\n",
- " <td>1116</td>\n",
- " <td>700</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>24</th>\n",
- " <td>2020-06-12 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9976</td>\n",
- " <td>NaN</td>\n",
- " <td>9417</td>\n",
- " <td>NaN</td>\n",
- " <td>8803</td>\n",
- " <td>NaN</td>\n",
- " <td>588</td>\n",
- " <td>...</td>\n",
- " <td>478</td>\n",
- " <td>1374</td>\n",
- " <td>980</td>\n",
- " <td>967</td>\n",
- " <td>1096</td>\n",
- " <td>1048</td>\n",
- " <td>883</td>\n",
- " <td>1530</td>\n",
- " <td>1035</td>\n",
- " <td>574</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>25</th>\n",
- " <td>2020-06-19 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9339</td>\n",
- " <td>NaN</td>\n",
- " <td>9404</td>\n",
- " <td>NaN</td>\n",
- " <td>8810</td>\n",
- " <td>NaN</td>\n",
- " <td>573</td>\n",
- " <td>...</td>\n",
- " <td>498</td>\n",
- " <td>1234</td>\n",
- " <td>952</td>\n",
- " <td>835</td>\n",
- " <td>973</td>\n",
- " <td>927</td>\n",
- " <td>896</td>\n",
- " <td>1411</td>\n",
- " <td>990</td>\n",
- " <td>617</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>26</th>\n",
- " <td>2020-06-26 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>8979</td>\n",
- " <td>NaN</td>\n",
- " <td>9293</td>\n",
- " <td>NaN</td>\n",
- " <td>8695</td>\n",
- " <td>NaN</td>\n",
- " <td>571</td>\n",
- " <td>...</td>\n",
- " <td>485</td>\n",
- " <td>1300</td>\n",
- " <td>922</td>\n",
- " <td>800</td>\n",
- " <td>946</td>\n",
- " <td>880</td>\n",
- " <td>791</td>\n",
- " <td>1311</td>\n",
- " <td>979</td>\n",
- " <td>552</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>27</th>\n",
- " <td>2020-07-03 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9140</td>\n",
- " <td>NaN</td>\n",
- " <td>9183</td>\n",
- " <td>NaN</td>\n",
- " <td>8606</td>\n",
- " <td>NaN</td>\n",
- " <td>555</td>\n",
- " <td>...</td>\n",
- " <td>515</td>\n",
- " <td>1225</td>\n",
- " <td>875</td>\n",
- " <td>827</td>\n",
- " <td>949</td>\n",
- " <td>922</td>\n",
- " <td>837</td>\n",
- " <td>1454</td>\n",
- " <td>938</td>\n",
- " <td>584</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>28</th>\n",
- " <td>2020-07-10 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>8690</td>\n",
- " <td>NaN</td>\n",
- " <td>9250</td>\n",
- " <td>NaN</td>\n",
- " <td>8648</td>\n",
- " <td>NaN</td>\n",
- " <td>578</td>\n",
- " <td>...</td>\n",
- " <td>468</td>\n",
- " <td>1154</td>\n",
- " <td>848</td>\n",
- " <td>771</td>\n",
- " <td>902</td>\n",
- " <td>999</td>\n",
- " <td>803</td>\n",
- " <td>1228</td>\n",
- " <td>930</td>\n",
- " <td>572</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>29</th>\n",
- " <td>2020-07-17 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>8823</td>\n",
- " <td>NaN</td>\n",
- " <td>9093</td>\n",
- " <td>NaN</td>\n",
- " <td>8502</td>\n",
- " <td>NaN</td>\n",
- " <td>557</td>\n",
- " <td>...</td>\n",
- " <td>445</td>\n",
- " <td>1159</td>\n",
- " <td>843</td>\n",
- " <td>816</td>\n",
- " <td>956</td>\n",
- " <td>945</td>\n",
- " <td>806</td>\n",
- " <td>1339</td>\n",
- " <td>953</td>\n",
- " <td>550</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>30</th>\n",
- " <td>2020-07-24 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>8891</td>\n",
- " <td>NaN</td>\n",
- " <td>9052</td>\n",
- " <td>NaN</td>\n",
- " <td>8452</td>\n",
- " <td>NaN</td>\n",
- " <td>566</td>\n",
- " <td>...</td>\n",
- " <td>493</td>\n",
- " <td>1197</td>\n",
- " <td>817</td>\n",
- " <td>798</td>\n",
- " <td>964</td>\n",
- " <td>951</td>\n",
- " <td>816</td>\n",
- " <td>1340</td>\n",
- " <td>941</td>\n",
- " <td>565</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>31</th>\n",
- " <td>2020-07-31 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>8946</td>\n",
- " <td>NaN</td>\n",
- " <td>9036</td>\n",
- " <td>NaN</td>\n",
- " <td>8436</td>\n",
- " <td>NaN</td>\n",
- " <td>572</td>\n",
- " <td>...</td>\n",
- " <td>507</td>\n",
- " <td>1272</td>\n",
- " <td>837</td>\n",
- " <td>729</td>\n",
- " <td>902</td>\n",
- " <td>949</td>\n",
- " <td>773</td>\n",
- " <td>1447</td>\n",
- " <td>988</td>\n",
- " <td>531</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>32</th>\n",
- " <td>2020-08-07 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>8945</td>\n",
- " <td>NaN</td>\n",
- " <td>9102</td>\n",
- " <td>NaN</td>\n",
- " <td>8502</td>\n",
- " <td>NaN</td>\n",
- " <td>571</td>\n",
- " <td>...</td>\n",
- " <td>486</td>\n",
- " <td>1211</td>\n",
- " <td>851</td>\n",
- " <td>798</td>\n",
- " <td>933</td>\n",
- " <td>955</td>\n",
- " <td>832</td>\n",
- " <td>1370</td>\n",
- " <td>929</td>\n",
- " <td>563</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>33</th>\n",
- " <td>2020-08-14 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9392</td>\n",
- " <td>NaN</td>\n",
- " <td>9085</td>\n",
- " <td>NaN</td>\n",
- " <td>8494</td>\n",
- " <td>NaN</td>\n",
- " <td>564</td>\n",
- " <td>...</td>\n",
- " <td>520</td>\n",
- " <td>1304</td>\n",
- " <td>853</td>\n",
- " <td>829</td>\n",
- " <td>923</td>\n",
- " <td>1006</td>\n",
- " <td>928</td>\n",
- " <td>1395</td>\n",
- " <td>1009</td>\n",
- " <td>617</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>34</th>\n",
- " <td>2020-08-21 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9631</td>\n",
- " <td>NaN</td>\n",
- " <td>9157</td>\n",
- " <td>NaN</td>\n",
- " <td>8560</td>\n",
- " <td>NaN</td>\n",
- " <td>573</td>\n",
- " <td>...</td>\n",
- " <td>479</td>\n",
- " <td>1269</td>\n",
- " <td>870</td>\n",
- " <td>780</td>\n",
- " <td>1028</td>\n",
- " <td>1024</td>\n",
- " <td>920</td>\n",
- " <td>1608</td>\n",
- " <td>1043</td>\n",
- " <td>594</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>35</th>\n",
- " <td>2020-08-28 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9032</td>\n",
- " <td>NaN</td>\n",
- " <td>8241</td>\n",
- " <td>NaN</td>\n",
- " <td>7674</td>\n",
- " <td>NaN</td>\n",
- " <td>539</td>\n",
- " <td>...</td>\n",
- " <td>455</td>\n",
- " <td>1148</td>\n",
- " <td>922</td>\n",
- " <td>724</td>\n",
- " <td>945</td>\n",
- " <td>951</td>\n",
- " <td>810</td>\n",
- " <td>1511</td>\n",
- " <td>959</td>\n",
- " <td>591</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>36</th>\n",
- " <td>2020-09-04 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>7739</td>\n",
- " <td>NaN</td>\n",
- " <td>9182</td>\n",
- " <td>NaN</td>\n",
- " <td>8604</td>\n",
- " <td>NaN</td>\n",
- " <td>552</td>\n",
- " <td>...</td>\n",
- " <td>431</td>\n",
- " <td>1057</td>\n",
- " <td>780</td>\n",
- " <td>640</td>\n",
- " <td>770</td>\n",
- " <td>806</td>\n",
- " <td>737</td>\n",
- " <td>1208</td>\n",
- " <td>803</td>\n",
- " <td>488</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>37</th>\n",
- " <td>2020-09-11 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9811</td>\n",
- " <td>NaN</td>\n",
- " <td>9306</td>\n",
- " <td>NaN</td>\n",
- " <td>8708</td>\n",
- " <td>NaN</td>\n",
- " <td>577</td>\n",
- " <td>...</td>\n",
- " <td>502</td>\n",
- " <td>1229</td>\n",
- " <td>952</td>\n",
- " <td>867</td>\n",
- " <td>1021</td>\n",
- " <td>1052</td>\n",
- " <td>898</td>\n",
- " <td>1610</td>\n",
- " <td>1084</td>\n",
- " <td>578</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>38</th>\n",
- " <td>2020-09-18 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9523</td>\n",
- " <td>NaN</td>\n",
- " <td>9264</td>\n",
- " <td>NaN</td>\n",
- " <td>8663</td>\n",
- " <td>NaN</td>\n",
- " <td>575</td>\n",
- " <td>...</td>\n",
- " <td>465</td>\n",
- " <td>1287</td>\n",
- " <td>939</td>\n",
- " <td>795</td>\n",
- " <td>1051</td>\n",
- " <td>1023</td>\n",
- " <td>844</td>\n",
- " <td>1530</td>\n",
- " <td>1021</td>\n",
- " <td>555</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>39</th>\n",
- " <td>2020-09-25 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9634</td>\n",
- " <td>NaN</td>\n",
- " <td>9377</td>\n",
- " <td>NaN</td>\n",
- " <td>8744</td>\n",
- " <td>NaN</td>\n",
- " <td>604</td>\n",
- " <td>...</td>\n",
- " <td>514</td>\n",
- " <td>1271</td>\n",
- " <td>965</td>\n",
- " <td>825</td>\n",
- " <td>1036</td>\n",
- " <td>963</td>\n",
- " <td>869</td>\n",
- " <td>1521</td>\n",
- " <td>1041</td>\n",
- " <td>617</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>40</th>\n",
- " <td>2020-10-02 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9945</td>\n",
- " <td>NaN</td>\n",
- " <td>9555</td>\n",
- " <td>NaN</td>\n",
- " <td>8942</td>\n",
- " <td>NaN</td>\n",
- " <td>587</td>\n",
- " <td>...</td>\n",
- " <td>558</td>\n",
- " <td>1301</td>\n",
- " <td>978</td>\n",
- " <td>842</td>\n",
- " <td>1045</td>\n",
- " <td>1054</td>\n",
- " <td>899</td>\n",
- " <td>1577</td>\n",
- " <td>1003</td>\n",
- " <td>671</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>41</th>\n",
- " <td>2020-10-09 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9954</td>\n",
- " <td>NaN</td>\n",
- " <td>9811</td>\n",
- " <td>NaN</td>\n",
- " <td>9168</td>\n",
- " <td>NaN</td>\n",
- " <td>615</td>\n",
- " <td>...</td>\n",
- " <td>544</td>\n",
- " <td>1367</td>\n",
- " <td>1067</td>\n",
- " <td>884</td>\n",
- " <td>1053</td>\n",
- " <td>1019</td>\n",
- " <td>902</td>\n",
- " <td>1462</td>\n",
- " <td>1010</td>\n",
- " <td>638</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>42</th>\n",
- " <td>2020-10-16 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10534</td>\n",
- " <td>NaN</td>\n",
- " <td>9865</td>\n",
- " <td>NaN</td>\n",
- " <td>9215</td>\n",
- " <td>NaN</td>\n",
- " <td>630</td>\n",
- " <td>...</td>\n",
- " <td>606</td>\n",
- " <td>1553</td>\n",
- " <td>1001</td>\n",
- " <td>904</td>\n",
- " <td>1154</td>\n",
- " <td>1056</td>\n",
- " <td>923</td>\n",
- " <td>1462</td>\n",
- " <td>1174</td>\n",
- " <td>688</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>43</th>\n",
- " <td>2020-10-23 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10739</td>\n",
- " <td>NaN</td>\n",
- " <td>9759</td>\n",
- " <td>NaN</td>\n",
- " <td>9104</td>\n",
- " <td>NaN</td>\n",
- " <td>628</td>\n",
- " <td>...</td>\n",
- " <td>600</td>\n",
- " <td>1714</td>\n",
- " <td>1111</td>\n",
- " <td>891</td>\n",
- " <td>1124</td>\n",
- " <td>1154</td>\n",
- " <td>922</td>\n",
- " <td>1510</td>\n",
- " <td>1044</td>\n",
- " <td>661</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>44</th>\n",
- " <td>2020-10-30 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10887</td>\n",
- " <td>NaN</td>\n",
- " <td>9891</td>\n",
- " <td>NaN</td>\n",
- " <td>9248</td>\n",
- " <td>NaN</td>\n",
- " <td>616</td>\n",
- " <td>...</td>\n",
- " <td>591</td>\n",
- " <td>1754</td>\n",
- " <td>1168</td>\n",
- " <td>882</td>\n",
- " <td>1102</td>\n",
- " <td>1089</td>\n",
- " <td>888</td>\n",
- " <td>1563</td>\n",
- " <td>1129</td>\n",
- " <td>712</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>45</th>\n",
- " <td>2020-11-06 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>11812</td>\n",
- " <td>NaN</td>\n",
- " <td>10331</td>\n",
- " <td>NaN</td>\n",
- " <td>9675</td>\n",
- " <td>NaN</td>\n",
- " <td>625</td>\n",
- " <td>...</td>\n",
- " <td>675</td>\n",
- " <td>1900</td>\n",
- " <td>1294</td>\n",
- " <td>990</td>\n",
- " <td>1186</td>\n",
- " <td>1177</td>\n",
- " <td>952</td>\n",
- " <td>1614</td>\n",
- " <td>1174</td>\n",
- " <td>832</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>46</th>\n",
- " <td>2020-11-13 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>12254</td>\n",
- " <td>NaN</td>\n",
- " <td>10350</td>\n",
- " <td>NaN</td>\n",
- " <td>9662</td>\n",
- " <td>NaN</td>\n",
- " <td>658</td>\n",
- " <td>...</td>\n",
- " <td>711</td>\n",
- " <td>1950</td>\n",
- " <td>1350</td>\n",
- " <td>1099</td>\n",
- " <td>1317</td>\n",
- " <td>1172</td>\n",
- " <td>1112</td>\n",
- " <td>1616</td>\n",
- " <td>1168</td>\n",
- " <td>742</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>47</th>\n",
- " <td>2020-11-20 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>12535</td>\n",
- " <td>NaN</td>\n",
- " <td>10380</td>\n",
- " <td>NaN</td>\n",
- " <td>9701</td>\n",
- " <td>NaN</td>\n",
- " <td>653</td>\n",
- " <td>...</td>\n",
- " <td>691</td>\n",
- " <td>1935</td>\n",
- " <td>1441</td>\n",
- " <td>1105</td>\n",
- " <td>1385</td>\n",
- " <td>1186</td>\n",
- " <td>1086</td>\n",
- " <td>1687</td>\n",
- " <td>1159</td>\n",
- " <td>848</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>48</th>\n",
- " <td>2020-11-27 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>12456</td>\n",
- " <td>NaN</td>\n",
- " <td>10357</td>\n",
- " <td>NaN</td>\n",
- " <td>9690</td>\n",
- " <td>NaN</td>\n",
- " <td>646</td>\n",
- " <td>...</td>\n",
- " <td>679</td>\n",
- " <td>1791</td>\n",
- " <td>1501</td>\n",
- " <td>1218</td>\n",
- " <td>1358</td>\n",
- " <td>1159</td>\n",
- " <td>1012</td>\n",
- " <td>1655</td>\n",
- " <td>1272</td>\n",
- " <td>797</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>49</th>\n",
- " <td>2020-12-04 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>12303</td>\n",
- " <td>NaN</td>\n",
- " <td>10695</td>\n",
- " <td>NaN</td>\n",
- " <td>9995</td>\n",
- " <td>NaN</td>\n",
- " <td>679</td>\n",
- " <td>...</td>\n",
- " <td>645</td>\n",
- " <td>1679</td>\n",
- " <td>1403</td>\n",
- " <td>1121</td>\n",
- " <td>1340</td>\n",
- " <td>1229</td>\n",
- " <td>1029</td>\n",
- " <td>1720</td>\n",
- " <td>1284</td>\n",
- " <td>836</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>50</th>\n",
- " <td>2020-12-11 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>12292</td>\n",
- " <td>NaN</td>\n",
- " <td>10750</td>\n",
- " <td>NaN</td>\n",
- " <td>10034</td>\n",
- " <td>NaN</td>\n",
- " <td>693</td>\n",
- " <td>...</td>\n",
- " <td>661</td>\n",
- " <td>1691</td>\n",
- " <td>1326</td>\n",
- " <td>1199</td>\n",
- " <td>1432</td>\n",
- " <td>1224</td>\n",
- " <td>1065</td>\n",
- " <td>1706</td>\n",
- " <td>1156</td>\n",
- " <td>814</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>51</th>\n",
- " <td>2020-12-18 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>13011</td>\n",
- " <td>NaN</td>\n",
- " <td>11548</td>\n",
- " <td>NaN</td>\n",
- " <td>10804</td>\n",
- " <td>NaN</td>\n",
- " <td>718</td>\n",
- " <td>...</td>\n",
- " <td>689</td>\n",
- " <td>1718</td>\n",
- " <td>1380</td>\n",
- " <td>1199</td>\n",
- " <td>1385</td>\n",
- " <td>1317</td>\n",
- " <td>1167</td>\n",
- " <td>1947</td>\n",
- " <td>1311</td>\n",
- " <td>882</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>52</th>\n",
- " <td>2020-12-25 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>11520</td>\n",
- " <td>NaN</td>\n",
- " <td>7954</td>\n",
- " <td>NaN</td>\n",
- " <td>7421</td>\n",
- " <td>NaN</td>\n",
- " <td>518</td>\n",
- " <td>...</td>\n",
- " <td>669</td>\n",
- " <td>1463</td>\n",
- " <td>1130</td>\n",
- " <td>1097</td>\n",
- " <td>1217</td>\n",
- " <td>1198</td>\n",
- " <td>1090</td>\n",
- " <td>1701</td>\n",
- " <td>1115</td>\n",
- " <td>825</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>53</th>\n",
- " <td>2021-01-01 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10069</td>\n",
- " <td>NaN</td>\n",
- " <td>7954</td>\n",
- " <td>NaN</td>\n",
- " <td>7421</td>\n",
- " <td>NaN</td>\n",
- " <td>518</td>\n",
- " <td>...</td>\n",
- " <td>547</td>\n",
- " <td>1346</td>\n",
- " <td>886</td>\n",
- " <td>842</td>\n",
- " <td>1024</td>\n",
- " <td>997</td>\n",
- " <td>1159</td>\n",
- " <td>1595</td>\n",
- " <td>929</td>\n",
- " <td>727</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "<p>54 rows × 91 columns</p>\n",
- "</div>"
- ],
- "text/plain": [
- " NaN NaN NaN NaN \\\n",
- "Week number Week ended NaN NaN Total deaths, all ages \n",
- "1 2020-01-03 00:00:00 NaN NaN 12254 \n",
- "2 2020-01-10 00:00:00 NaN NaN 14058 \n",
- "3 2020-01-17 00:00:00 NaN NaN 12990 \n",
- "4 2020-01-24 00:00:00 NaN NaN 11856 \n",
- "5 2020-01-31 00:00:00 NaN NaN 11612 \n",
- "6 2020-02-07 00:00:00 NaN NaN 10986 \n",
- "7 2020-02-14 00:00:00 NaN NaN 10944 \n",
- "8 2020-02-21 00:00:00 NaN NaN 10841 \n",
- "9 2020-02-28 00:00:00 NaN NaN 10816 \n",
- "10 2020-03-06 00:00:00 NaN NaN 10895 \n",
- "11 2020-03-13 00:00:00 NaN NaN 11019 \n",
- "12 2020-03-20 00:00:00 NaN NaN 10645 \n",
- "13 2020-03-27 00:00:00 NaN NaN 11141 \n",
- "14 2020-04-03 00:00:00 NaN NaN 16387 \n",
- "15 2020-04-10 00:00:00 NaN NaN 18516 \n",
- "16 2020-04-17 00:00:00 NaN NaN 22351 \n",
- "17 2020-04-24 00:00:00 NaN NaN 21997 \n",
- "18 2020-05-01 00:00:00 NaN NaN 17953 \n",
- "19 2020-05-08 00:00:00 NaN NaN 12657 \n",
- "20 2020-05-15 00:00:00 NaN NaN 14573 \n",
- "21 2020-05-22 00:00:00 NaN NaN 12288 \n",
- "22 2020-05-29 00:00:00 NaN NaN 9824 \n",
- "23 2020-06-05 00:00:00 NaN NaN 10709 \n",
- "24 2020-06-12 00:00:00 NaN NaN 9976 \n",
- "25 2020-06-19 00:00:00 NaN NaN 9339 \n",
- "26 2020-06-26 00:00:00 NaN NaN 8979 \n",
- "27 2020-07-03 00:00:00 NaN NaN 9140 \n",
- "28 2020-07-10 00:00:00 NaN NaN 8690 \n",
- "29 2020-07-17 00:00:00 NaN NaN 8823 \n",
- "30 2020-07-24 00:00:00 NaN NaN 8891 \n",
- "31 2020-07-31 00:00:00 NaN NaN 8946 \n",
- "32 2020-08-07 00:00:00 NaN NaN 8945 \n",
- "33 2020-08-14 00:00:00 NaN NaN 9392 \n",
- "34 2020-08-21 00:00:00 NaN NaN 9631 \n",
- "35 2020-08-28 00:00:00 NaN NaN 9032 \n",
- "36 2020-09-04 00:00:00 NaN NaN 7739 \n",
- "37 2020-09-11 00:00:00 NaN NaN 9811 \n",
- "38 2020-09-18 00:00:00 NaN NaN 9523 \n",
- "39 2020-09-25 00:00:00 NaN NaN 9634 \n",
- "40 2020-10-02 00:00:00 NaN NaN 9945 \n",
- "41 2020-10-09 00:00:00 NaN NaN 9954 \n",
- "42 2020-10-16 00:00:00 NaN NaN 10534 \n",
- "43 2020-10-23 00:00:00 NaN NaN 10739 \n",
- "44 2020-10-30 00:00:00 NaN NaN 10887 \n",
- "45 2020-11-06 00:00:00 NaN NaN 11812 \n",
- "46 2020-11-13 00:00:00 NaN NaN 12254 \n",
- "47 2020-11-20 00:00:00 NaN NaN 12535 \n",
- "48 2020-11-27 00:00:00 NaN NaN 12456 \n",
- "49 2020-12-04 00:00:00 NaN NaN 12303 \n",
- "50 2020-12-11 00:00:00 NaN NaN 12292 \n",
- "51 2020-12-18 00:00:00 NaN NaN 13011 \n",
- "52 2020-12-25 00:00:00 NaN NaN 11520 \n",
- "53 2021-01-01 00:00:00 NaN NaN 10069 \n",
- "\n",
- " NaN \\\n",
- "Week number Total deaths: average of corresponding \n",
- "1 NaN \n",
- "2 NaN \n",
- "3 NaN \n",
- "4 NaN \n",
- "5 NaN \n",
- "6 NaN \n",
- "7 NaN \n",
- "8 NaN \n",
- "9 NaN \n",
- "10 NaN \n",
- "11 NaN \n",
- "12 NaN \n",
- "13 NaN \n",
- "14 NaN \n",
- "15 NaN \n",
- "16 NaN \n",
- "17 NaN \n",
- "18 NaN \n",
- "19 NaN \n",
- "20 NaN \n",
- "21 NaN \n",
- "22 NaN \n",
- "23 NaN \n",
- "24 NaN \n",
- "25 NaN \n",
- "26 NaN \n",
- "27 NaN \n",
- "28 NaN \n",
- "29 NaN \n",
- "30 NaN \n",
- "31 NaN \n",
- "32 NaN \n",
- "33 NaN \n",
- "34 NaN \n",
- "35 NaN \n",
- "36 NaN \n",
- "37 NaN \n",
- "38 NaN \n",
- "39 NaN \n",
- "40 NaN \n",
- "41 NaN \n",
- "42 NaN \n",
- "43 NaN \n",
- "44 NaN \n",
- "45 NaN \n",
- "46 NaN \n",
- "47 NaN \n",
- "48 NaN \n",
- "49 NaN \n",
- "50 NaN \n",
- "51 NaN \n",
- "52 NaN \n",
- "53 NaN \n",
- "\n",
- " NaN \\\n",
- "Week number week over the previous 5 years 1, 10, 11 (Engl... \n",
- "1 12175 \n",
- "2 13822 \n",
- "3 13216 \n",
- "4 12760 \n",
- "5 12206 \n",
- "6 11925 \n",
- "7 11627 \n",
- "8 11548 \n",
- "9 11183 \n",
- "10 11498 \n",
- "11 11205 \n",
- "12 10573 \n",
- "13 10130 \n",
- "14 10305 \n",
- "15 10520 \n",
- "16 10497 \n",
- "17 10458 \n",
- "18 9941 \n",
- "19 9576 \n",
- "20 10188 \n",
- "21 9940 \n",
- "22 8171 \n",
- "23 9977 \n",
- "24 9417 \n",
- "25 9404 \n",
- "26 9293 \n",
- "27 9183 \n",
- "28 9250 \n",
- "29 9093 \n",
- "30 9052 \n",
- "31 9036 \n",
- "32 9102 \n",
- "33 9085 \n",
- "34 9157 \n",
- "35 8241 \n",
- "36 9182 \n",
- "37 9306 \n",
- "38 9264 \n",
- "39 9377 \n",
- "40 9555 \n",
- "41 9811 \n",
- "42 9865 \n",
- "43 9759 \n",
- "44 9891 \n",
- "45 10331 \n",
- "46 10350 \n",
- "47 10380 \n",
- "48 10357 \n",
- "49 10695 \n",
- "50 10750 \n",
- "51 11548 \n",
- "52 7954 \n",
- "53 7954 \n",
- "\n",
- " NaN \\\n",
- "Week number Total deaths: average of corresponding \n",
- "1 NaN \n",
- "2 NaN \n",
- "3 NaN \n",
- "4 NaN \n",
- "5 NaN \n",
- "6 NaN \n",
- "7 NaN \n",
- "8 NaN \n",
- "9 NaN \n",
- "10 NaN \n",
- "11 NaN \n",
- "12 NaN \n",
- "13 NaN \n",
- "14 NaN \n",
- "15 NaN \n",
- "16 NaN \n",
- "17 NaN \n",
- "18 NaN \n",
- "19 NaN \n",
- "20 NaN \n",
- "21 NaN \n",
- "22 NaN \n",
- "23 NaN \n",
- "24 NaN \n",
- "25 NaN \n",
- "26 NaN \n",
- "27 NaN \n",
- "28 NaN \n",
- "29 NaN \n",
- "30 NaN \n",
- "31 NaN \n",
- "32 NaN \n",
- "33 NaN \n",
- "34 NaN \n",
- "35 NaN \n",
- "36 NaN \n",
- "37 NaN \n",
- "38 NaN \n",
- "39 NaN \n",
- "40 NaN \n",
- "41 NaN \n",
- "42 NaN \n",
- "43 NaN \n",
- "44 NaN \n",
- "45 NaN \n",
- "46 NaN \n",
- "47 NaN \n",
- "48 NaN \n",
- "49 NaN \n",
- "50 NaN \n",
- "51 NaN \n",
- "52 NaN \n",
- "53 NaN \n",
- "\n",
- " NaN \\\n",
- "Week number week over the previous 5 years 1, 10, 11 (Engl... \n",
- "1 11412 \n",
- "2 12933 \n",
- "3 12370 \n",
- "4 11933 \n",
- "5 11419 \n",
- "6 11154 \n",
- "7 10876 \n",
- "8 10790 \n",
- "9 10448 \n",
- "10 10745 \n",
- "11 10447 \n",
- "12 9841 \n",
- "13 9414 \n",
- "14 9601 \n",
- "15 9807 \n",
- "16 9787 \n",
- "17 9768 \n",
- "18 9289 \n",
- "19 8937 \n",
- "20 9526 \n",
- "21 9299 \n",
- "22 7607 \n",
- "23 9346 \n",
- "24 8803 \n",
- "25 8810 \n",
- "26 8695 \n",
- "27 8606 \n",
- "28 8648 \n",
- "29 8502 \n",
- "30 8452 \n",
- "31 8436 \n",
- "32 8502 \n",
- "33 8494 \n",
- "34 8560 \n",
- "35 7674 \n",
- "36 8604 \n",
- "37 8708 \n",
- "38 8663 \n",
- "39 8744 \n",
- "40 8942 \n",
- "41 9168 \n",
- "42 9215 \n",
- "43 9104 \n",
- "44 9248 \n",
- "45 9675 \n",
- "46 9662 \n",
- "47 9701 \n",
- "48 9690 \n",
- "49 9995 \n",
- "50 10034 \n",
- "51 10804 \n",
- "52 7421 \n",
- "53 7421 \n",
- "\n",
- " NaN \\\n",
- "Week number Total deaths: average of corresponding \n",
- "1 NaN \n",
- "2 NaN \n",
- "3 NaN \n",
- "4 NaN \n",
- "5 NaN \n",
- "6 NaN \n",
- "7 NaN \n",
- "8 NaN \n",
- "9 NaN \n",
- "10 NaN \n",
- "11 NaN \n",
- "12 NaN \n",
- "13 NaN \n",
- "14 NaN \n",
- "15 NaN \n",
- "16 NaN \n",
- "17 NaN \n",
- "18 NaN \n",
- "19 NaN \n",
- "20 NaN \n",
- "21 NaN \n",
- "22 NaN \n",
- "23 NaN \n",
- "24 NaN \n",
- "25 NaN \n",
- "26 NaN \n",
- "27 NaN \n",
- "28 NaN \n",
- "29 NaN \n",
- "30 NaN \n",
- "31 NaN \n",
- "32 NaN \n",
- "33 NaN \n",
- "34 NaN \n",
- "35 NaN \n",
- "36 NaN \n",
- "37 NaN \n",
- "38 NaN \n",
- "39 NaN \n",
- "40 NaN \n",
- "41 NaN \n",
- "42 NaN \n",
- "43 NaN \n",
- "44 NaN \n",
- "45 NaN \n",
- "46 NaN \n",
- "47 NaN \n",
- "48 NaN \n",
- "49 NaN \n",
- "50 NaN \n",
- "51 NaN \n",
- "52 NaN \n",
- "53 NaN \n",
- "\n",
- " NaN ... North East \\\n",
- "Week number week over the previous 5 years 1, 10, 11 (Wales) ... E12000001 \n",
- "1 756 ... 673 \n",
- "2 856 ... 707 \n",
- "3 812 ... 647 \n",
- "4 802 ... 612 \n",
- "5 760 ... 561 \n",
- "6 729 ... 564 \n",
- "7 722 ... 573 \n",
- "8 724 ... 539 \n",
- "9 698 ... 572 \n",
- "10 720 ... 568 \n",
- "11 727 ... 590 \n",
- "12 677 ... 522 \n",
- "13 665 ... 542 \n",
- "14 667 ... 770 \n",
- "15 671 ... 849 \n",
- "16 661 ... 1155 \n",
- "17 662 ... 1103 \n",
- "18 624 ... 922 \n",
- "19 612 ... 769 \n",
- "20 635 ... 845 \n",
- "21 614 ... 718 \n",
- "22 546 ... 550 \n",
- "23 610 ... 576 \n",
- "24 588 ... 478 \n",
- "25 573 ... 498 \n",
- "26 571 ... 485 \n",
- "27 555 ... 515 \n",
- "28 578 ... 468 \n",
- "29 557 ... 445 \n",
- "30 566 ... 493 \n",
- "31 572 ... 507 \n",
- "32 571 ... 486 \n",
- "33 564 ... 520 \n",
- "34 573 ... 479 \n",
- "35 539 ... 455 \n",
- "36 552 ... 431 \n",
- "37 577 ... 502 \n",
- "38 575 ... 465 \n",
- "39 604 ... 514 \n",
- "40 587 ... 558 \n",
- "41 615 ... 544 \n",
- "42 630 ... 606 \n",
- "43 628 ... 600 \n",
- "44 616 ... 591 \n",
- "45 625 ... 675 \n",
- "46 658 ... 711 \n",
- "47 653 ... 691 \n",
- "48 646 ... 679 \n",
- "49 679 ... 645 \n",
- "50 693 ... 661 \n",
- "51 718 ... 689 \n",
- "52 518 ... 669 \n",
- "53 518 ... 547 \n",
- "\n",
- " North West Yorkshire and The Humber East Midlands West Midlands \\\n",
- "Week number E12000002 E12000003 E12000004 E12000005 \n",
- "1 1806 1240 1060 1349 \n",
- "2 1932 1339 1195 1450 \n",
- "3 1696 1278 1106 1407 \n",
- "4 1529 1187 1024 1231 \n",
- "5 1461 1136 1015 1262 \n",
- "6 1529 1072 922 1052 \n",
- "7 1427 1059 976 1159 \n",
- "8 1477 1087 924 1116 \n",
- "9 1476 1078 919 1174 \n",
- "10 1490 1112 930 1098 \n",
- "11 1472 1053 915 1187 \n",
- "12 1443 1012 947 1115 \n",
- "13 1538 982 922 1035 \n",
- "14 2137 1436 1246 1812 \n",
- "15 2597 1503 1452 2182 \n",
- "16 3195 1960 1632 2536 \n",
- "17 3109 2095 1711 2481 \n",
- "18 2503 1844 1418 1975 \n",
- "19 1790 1328 1094 1326 \n",
- "20 1992 1589 1283 1502 \n",
- "21 1636 1236 1041 1319 \n",
- "22 1337 1046 863 970 \n",
- "23 1478 1090 931 1172 \n",
- "24 1374 980 967 1096 \n",
- "25 1234 952 835 973 \n",
- "26 1300 922 800 946 \n",
- "27 1225 875 827 949 \n",
- "28 1154 848 771 902 \n",
- "29 1159 843 816 956 \n",
- "30 1197 817 798 964 \n",
- "31 1272 837 729 902 \n",
- "32 1211 851 798 933 \n",
- "33 1304 853 829 923 \n",
- "34 1269 870 780 1028 \n",
- "35 1148 922 724 945 \n",
- "36 1057 780 640 770 \n",
- "37 1229 952 867 1021 \n",
- "38 1287 939 795 1051 \n",
- "39 1271 965 825 1036 \n",
- "40 1301 978 842 1045 \n",
- "41 1367 1067 884 1053 \n",
- "42 1553 1001 904 1154 \n",
- "43 1714 1111 891 1124 \n",
- "44 1754 1168 882 1102 \n",
- "45 1900 1294 990 1186 \n",
- "46 1950 1350 1099 1317 \n",
- "47 1935 1441 1105 1385 \n",
- "48 1791 1501 1218 1358 \n",
- "49 1679 1403 1121 1340 \n",
- "50 1691 1326 1199 1432 \n",
- "51 1718 1380 1199 1385 \n",
- "52 1463 1130 1097 1217 \n",
- "53 1346 886 842 1024 \n",
- "\n",
- " East London South East South West Wales \n",
- "Week number E12000006 E12000007 E12000008 E12000009 W92000004 \n",
- "1 1162 1113 1814 1225 787 \n",
- "2 1573 1272 2132 1487 939 \n",
- "3 1457 1073 2064 1466 767 \n",
- "4 1410 1028 1833 1253 723 \n",
- "5 1286 1092 1820 1233 727 \n",
- "6 1259 987 1729 1157 690 \n",
- "7 1172 967 1688 1169 728 \n",
- "8 1167 1032 1675 1118 679 \n",
- "9 1115 1085 1587 1133 651 \n",
- "10 1149 982 1726 1170 652 \n",
- "11 1211 964 1751 1174 675 \n",
- "12 1043 1008 1657 1156 719 \n",
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- "19 1321 1213 1887 1218 692 \n",
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- "21 1397 1125 1937 1177 692 \n",
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- "24 1048 883 1530 1035 574 \n",
- "25 927 896 1411 990 617 \n",
- "26 880 791 1311 979 552 \n",
- "27 922 837 1454 938 584 \n",
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- "29 945 806 1339 953 550 \n",
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- "39 963 869 1521 1041 617 \n",
- "40 1054 899 1577 1003 671 \n",
- "41 1019 902 1462 1010 638 \n",
- "42 1056 923 1462 1174 688 \n",
- "43 1154 922 1510 1044 661 \n",
- "44 1089 888 1563 1129 712 \n",
- "45 1177 952 1614 1174 832 \n",
- "46 1172 1112 1616 1168 742 \n",
- "47 1186 1086 1687 1159 848 \n",
- "48 1159 1012 1655 1272 797 \n",
- "49 1229 1029 1720 1284 836 \n",
- "50 1224 1065 1706 1156 814 \n",
- "51 1317 1167 1947 1311 882 \n",
- "52 1198 1090 1701 1115 825 \n",
- "53 997 1159 1595 929 727 \n",
- "\n",
- "[54 rows x 91 columns]"
- ]
- },
- "execution_count": 43,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "eng_xls = pd.read_excel(england_wales_filename, \n",
- " sheet_name=\"Weekly figures 2020\",\n",
- " skiprows=[0, 1, 2, 3],\n",
- " header=0,\n",
- " index_col=[1]\n",
- " ).iloc[:91].T\n",
- "eng_xls"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 44,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# eng_xls_columns"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 45,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "eng_xls_columns = list(eng_xls.columns)\n",
- "\n",
- "for i, c in enumerate(eng_xls_columns):\n",
- "# print(i, c, type(c), isinstance(c, float))\n",
- " if isinstance(c, float) and np.isnan(c):\n",
- " if eng_xls.iloc[0].iloc[i] is not pd.NaT:\n",
- " eng_xls_columns[i] = eng_xls.iloc[0].iloc[i]\n",
- "\n",
- "# np.isnan(eng_xls_columns[0])\n",
- "# eng_xls_columns\n",
- "\n",
- "eng_xls.columns = eng_xls_columns\n",
- "# eng_xls.columns"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 46,
- "metadata": {
- "scrolled": true
- },
- "outputs": [
- {
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- " <td>1751</td>\n",
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- " <td>1008</td>\n",
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- " <td>10130</td>\n",
- " <td>NaN</td>\n",
- " <td>9414</td>\n",
- " <td>NaN</td>\n",
- " <td>665</td>\n",
- " <td>...</td>\n",
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- " <td>1538</td>\n",
- " <td>982</td>\n",
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- " <td>1182</td>\n",
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- " <tr>\n",
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- " <td>9941</td>\n",
- " <td>NaN</td>\n",
- " <td>9289</td>\n",
- " <td>NaN</td>\n",
- " <td>624</td>\n",
- " <td>...</td>\n",
- " <td>922</td>\n",
- " <td>2503</td>\n",
- " <td>1844</td>\n",
- " <td>1418</td>\n",
- " <td>1975</td>\n",
- " <td>1982</td>\n",
- " <td>1953</td>\n",
- " <td>2853</td>\n",
- " <td>1554</td>\n",
- " <td>929</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>19</th>\n",
- " <td>2020-05-08 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>12657</td>\n",
- " <td>NaN</td>\n",
- " <td>9576</td>\n",
- " <td>NaN</td>\n",
- " <td>8937</td>\n",
- " <td>NaN</td>\n",
- " <td>612</td>\n",
- " <td>...</td>\n",
- " <td>769</td>\n",
- " <td>1790</td>\n",
- " <td>1328</td>\n",
- " <td>1094</td>\n",
- " <td>1326</td>\n",
- " <td>1321</td>\n",
- " <td>1213</td>\n",
- " <td>1887</td>\n",
- " <td>1218</td>\n",
- " <td>692</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>20</th>\n",
- " <td>2020-05-15 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>14573</td>\n",
- " <td>NaN</td>\n",
- " <td>10188</td>\n",
- " <td>NaN</td>\n",
- " <td>9526</td>\n",
- " <td>NaN</td>\n",
- " <td>635</td>\n",
- " <td>...</td>\n",
- " <td>845</td>\n",
- " <td>1992</td>\n",
- " <td>1589</td>\n",
- " <td>1283</td>\n",
- " <td>1502</td>\n",
- " <td>1543</td>\n",
- " <td>1329</td>\n",
- " <td>2251</td>\n",
- " <td>1449</td>\n",
- " <td>772</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>21</th>\n",
- " <td>2020-05-22 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>12288</td>\n",
- " <td>NaN</td>\n",
- " <td>9940</td>\n",
- " <td>NaN</td>\n",
- " <td>9299</td>\n",
- " <td>NaN</td>\n",
- " <td>614</td>\n",
- " <td>...</td>\n",
- " <td>718</td>\n",
- " <td>1636</td>\n",
- " <td>1236</td>\n",
- " <td>1041</td>\n",
- " <td>1319</td>\n",
- " <td>1397</td>\n",
- " <td>1125</td>\n",
- " <td>1937</td>\n",
- " <td>1177</td>\n",
- " <td>692</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>22</th>\n",
- " <td>2020-05-29 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9824</td>\n",
- " <td>NaN</td>\n",
- " <td>8171</td>\n",
- " <td>NaN</td>\n",
- " <td>7607</td>\n",
- " <td>NaN</td>\n",
- " <td>546</td>\n",
- " <td>...</td>\n",
- " <td>550</td>\n",
- " <td>1337</td>\n",
- " <td>1046</td>\n",
- " <td>863</td>\n",
- " <td>970</td>\n",
- " <td>1095</td>\n",
- " <td>841</td>\n",
- " <td>1515</td>\n",
- " <td>1011</td>\n",
- " <td>587</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>23</th>\n",
- " <td>2020-06-05 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10709</td>\n",
- " <td>NaN</td>\n",
- " <td>9977</td>\n",
- " <td>NaN</td>\n",
- " <td>9346</td>\n",
- " <td>NaN</td>\n",
- " <td>610</td>\n",
- " <td>...</td>\n",
- " <td>576</td>\n",
- " <td>1478</td>\n",
- " <td>1090</td>\n",
- " <td>931</td>\n",
- " <td>1172</td>\n",
- " <td>1131</td>\n",
- " <td>891</td>\n",
- " <td>1610</td>\n",
- " <td>1116</td>\n",
- " <td>700</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>24</th>\n",
- " <td>2020-06-12 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9976</td>\n",
- " <td>NaN</td>\n",
- " <td>9417</td>\n",
- " <td>NaN</td>\n",
- " <td>8803</td>\n",
- " <td>NaN</td>\n",
- " <td>588</td>\n",
- " <td>...</td>\n",
- " <td>478</td>\n",
- " <td>1374</td>\n",
- " <td>980</td>\n",
- " <td>967</td>\n",
- " <td>1096</td>\n",
- " <td>1048</td>\n",
- " <td>883</td>\n",
- " <td>1530</td>\n",
- " <td>1035</td>\n",
- " <td>574</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>25</th>\n",
- " <td>2020-06-19 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9339</td>\n",
- " <td>NaN</td>\n",
- " <td>9404</td>\n",
- " <td>NaN</td>\n",
- " <td>8810</td>\n",
- " <td>NaN</td>\n",
- " <td>573</td>\n",
- " <td>...</td>\n",
- " <td>498</td>\n",
- " <td>1234</td>\n",
- " <td>952</td>\n",
- " <td>835</td>\n",
- " <td>973</td>\n",
- " <td>927</td>\n",
- " <td>896</td>\n",
- " <td>1411</td>\n",
- " <td>990</td>\n",
- " <td>617</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>26</th>\n",
- " <td>2020-06-26 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>8979</td>\n",
- " <td>NaN</td>\n",
- " <td>9293</td>\n",
- " <td>NaN</td>\n",
- " <td>8695</td>\n",
- " <td>NaN</td>\n",
- " <td>571</td>\n",
- " <td>...</td>\n",
- " <td>485</td>\n",
- " <td>1300</td>\n",
- " <td>922</td>\n",
- " <td>800</td>\n",
- " <td>946</td>\n",
- " <td>880</td>\n",
- " <td>791</td>\n",
- " <td>1311</td>\n",
- " <td>979</td>\n",
- " <td>552</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>27</th>\n",
- " <td>2020-07-03 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9140</td>\n",
- " <td>NaN</td>\n",
- " <td>9183</td>\n",
- " <td>NaN</td>\n",
- " <td>8606</td>\n",
- " <td>NaN</td>\n",
- " <td>555</td>\n",
- " <td>...</td>\n",
- " <td>515</td>\n",
- " <td>1225</td>\n",
- " <td>875</td>\n",
- " <td>827</td>\n",
- " <td>949</td>\n",
- " <td>922</td>\n",
- " <td>837</td>\n",
- " <td>1454</td>\n",
- " <td>938</td>\n",
- " <td>584</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>28</th>\n",
- " <td>2020-07-10 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>8690</td>\n",
- " <td>NaN</td>\n",
- " <td>9250</td>\n",
- " <td>NaN</td>\n",
- " <td>8648</td>\n",
- " <td>NaN</td>\n",
- " <td>578</td>\n",
- " <td>...</td>\n",
- " <td>468</td>\n",
- " <td>1154</td>\n",
- " <td>848</td>\n",
- " <td>771</td>\n",
- " <td>902</td>\n",
- " <td>999</td>\n",
- " <td>803</td>\n",
- " <td>1228</td>\n",
- " <td>930</td>\n",
- " <td>572</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>29</th>\n",
- " <td>2020-07-17 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>8823</td>\n",
- " <td>NaN</td>\n",
- " <td>9093</td>\n",
- " <td>NaN</td>\n",
- " <td>8502</td>\n",
- " <td>NaN</td>\n",
- " <td>557</td>\n",
- " <td>...</td>\n",
- " <td>445</td>\n",
- " <td>1159</td>\n",
- " <td>843</td>\n",
- " <td>816</td>\n",
- " <td>956</td>\n",
- " <td>945</td>\n",
- " <td>806</td>\n",
- " <td>1339</td>\n",
- " <td>953</td>\n",
- " <td>550</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>30</th>\n",
- " <td>2020-07-24 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>8891</td>\n",
- " <td>NaN</td>\n",
- " <td>9052</td>\n",
- " <td>NaN</td>\n",
- " <td>8452</td>\n",
- " <td>NaN</td>\n",
- " <td>566</td>\n",
- " <td>...</td>\n",
- " <td>493</td>\n",
- " <td>1197</td>\n",
- " <td>817</td>\n",
- " <td>798</td>\n",
- " <td>964</td>\n",
- " <td>951</td>\n",
- " <td>816</td>\n",
- " <td>1340</td>\n",
- " <td>941</td>\n",
- " <td>565</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>31</th>\n",
- " <td>2020-07-31 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>8946</td>\n",
- " <td>NaN</td>\n",
- " <td>9036</td>\n",
- " <td>NaN</td>\n",
- " <td>8436</td>\n",
- " <td>NaN</td>\n",
- " <td>572</td>\n",
- " <td>...</td>\n",
- " <td>507</td>\n",
- " <td>1272</td>\n",
- " <td>837</td>\n",
- " <td>729</td>\n",
- " <td>902</td>\n",
- " <td>949</td>\n",
- " <td>773</td>\n",
- " <td>1447</td>\n",
- " <td>988</td>\n",
- " <td>531</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>32</th>\n",
- " <td>2020-08-07 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>8945</td>\n",
- " <td>NaN</td>\n",
- " <td>9102</td>\n",
- " <td>NaN</td>\n",
- " <td>8502</td>\n",
- " <td>NaN</td>\n",
- " <td>571</td>\n",
- " <td>...</td>\n",
- " <td>486</td>\n",
- " <td>1211</td>\n",
- " <td>851</td>\n",
- " <td>798</td>\n",
- " <td>933</td>\n",
- " <td>955</td>\n",
- " <td>832</td>\n",
- " <td>1370</td>\n",
- " <td>929</td>\n",
- " <td>563</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>33</th>\n",
- " <td>2020-08-14 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9392</td>\n",
- " <td>NaN</td>\n",
- " <td>9085</td>\n",
- " <td>NaN</td>\n",
- " <td>8494</td>\n",
- " <td>NaN</td>\n",
- " <td>564</td>\n",
- " <td>...</td>\n",
- " <td>520</td>\n",
- " <td>1304</td>\n",
- " <td>853</td>\n",
- " <td>829</td>\n",
- " <td>923</td>\n",
- " <td>1006</td>\n",
- " <td>928</td>\n",
- " <td>1395</td>\n",
- " <td>1009</td>\n",
- " <td>617</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>34</th>\n",
- " <td>2020-08-21 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9631</td>\n",
- " <td>NaN</td>\n",
- " <td>9157</td>\n",
- " <td>NaN</td>\n",
- " <td>8560</td>\n",
- " <td>NaN</td>\n",
- " <td>573</td>\n",
- " <td>...</td>\n",
- " <td>479</td>\n",
- " <td>1269</td>\n",
- " <td>870</td>\n",
- " <td>780</td>\n",
- " <td>1028</td>\n",
- " <td>1024</td>\n",
- " <td>920</td>\n",
- " <td>1608</td>\n",
- " <td>1043</td>\n",
- " <td>594</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>35</th>\n",
- " <td>2020-08-28 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9032</td>\n",
- " <td>NaN</td>\n",
- " <td>8241</td>\n",
- " <td>NaN</td>\n",
- " <td>7674</td>\n",
- " <td>NaN</td>\n",
- " <td>539</td>\n",
- " <td>...</td>\n",
- " <td>455</td>\n",
- " <td>1148</td>\n",
- " <td>922</td>\n",
- " <td>724</td>\n",
- " <td>945</td>\n",
- " <td>951</td>\n",
- " <td>810</td>\n",
- " <td>1511</td>\n",
- " <td>959</td>\n",
- " <td>591</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>36</th>\n",
- " <td>2020-09-04 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>7739</td>\n",
- " <td>NaN</td>\n",
- " <td>9182</td>\n",
- " <td>NaN</td>\n",
- " <td>8604</td>\n",
- " <td>NaN</td>\n",
- " <td>552</td>\n",
- " <td>...</td>\n",
- " <td>431</td>\n",
- " <td>1057</td>\n",
- " <td>780</td>\n",
- " <td>640</td>\n",
- " <td>770</td>\n",
- " <td>806</td>\n",
- " <td>737</td>\n",
- " <td>1208</td>\n",
- " <td>803</td>\n",
- " <td>488</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>37</th>\n",
- " <td>2020-09-11 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9811</td>\n",
- " <td>NaN</td>\n",
- " <td>9306</td>\n",
- " <td>NaN</td>\n",
- " <td>8708</td>\n",
- " <td>NaN</td>\n",
- " <td>577</td>\n",
- " <td>...</td>\n",
- " <td>502</td>\n",
- " <td>1229</td>\n",
- " <td>952</td>\n",
- " <td>867</td>\n",
- " <td>1021</td>\n",
- " <td>1052</td>\n",
- " <td>898</td>\n",
- " <td>1610</td>\n",
- " <td>1084</td>\n",
- " <td>578</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>38</th>\n",
- " <td>2020-09-18 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9523</td>\n",
- " <td>NaN</td>\n",
- " <td>9264</td>\n",
- " <td>NaN</td>\n",
- " <td>8663</td>\n",
- " <td>NaN</td>\n",
- " <td>575</td>\n",
- " <td>...</td>\n",
- " <td>465</td>\n",
- " <td>1287</td>\n",
- " <td>939</td>\n",
- " <td>795</td>\n",
- " <td>1051</td>\n",
- " <td>1023</td>\n",
- " <td>844</td>\n",
- " <td>1530</td>\n",
- " <td>1021</td>\n",
- " <td>555</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>39</th>\n",
- " <td>2020-09-25 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9634</td>\n",
- " <td>NaN</td>\n",
- " <td>9377</td>\n",
- " <td>NaN</td>\n",
- " <td>8744</td>\n",
- " <td>NaN</td>\n",
- " <td>604</td>\n",
- " <td>...</td>\n",
- " <td>514</td>\n",
- " <td>1271</td>\n",
- " <td>965</td>\n",
- " <td>825</td>\n",
- " <td>1036</td>\n",
- " <td>963</td>\n",
- " <td>869</td>\n",
- " <td>1521</td>\n",
- " <td>1041</td>\n",
- " <td>617</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>40</th>\n",
- " <td>2020-10-02 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9945</td>\n",
- " <td>NaN</td>\n",
- " <td>9555</td>\n",
- " <td>NaN</td>\n",
- " <td>8942</td>\n",
- " <td>NaN</td>\n",
- " <td>587</td>\n",
- " <td>...</td>\n",
- " <td>558</td>\n",
- " <td>1301</td>\n",
- " <td>978</td>\n",
- " <td>842</td>\n",
- " <td>1045</td>\n",
- " <td>1054</td>\n",
- " <td>899</td>\n",
- " <td>1577</td>\n",
- " <td>1003</td>\n",
- " <td>671</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>41</th>\n",
- " <td>2020-10-09 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9954</td>\n",
- " <td>NaN</td>\n",
- " <td>9811</td>\n",
- " <td>NaN</td>\n",
- " <td>9168</td>\n",
- " <td>NaN</td>\n",
- " <td>615</td>\n",
- " <td>...</td>\n",
- " <td>544</td>\n",
- " <td>1367</td>\n",
- " <td>1067</td>\n",
- " <td>884</td>\n",
- " <td>1053</td>\n",
- " <td>1019</td>\n",
- " <td>902</td>\n",
- " <td>1462</td>\n",
- " <td>1010</td>\n",
- " <td>638</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>42</th>\n",
- " <td>2020-10-16 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10534</td>\n",
- " <td>NaN</td>\n",
- " <td>9865</td>\n",
- " <td>NaN</td>\n",
- " <td>9215</td>\n",
- " <td>NaN</td>\n",
- " <td>630</td>\n",
- " <td>...</td>\n",
- " <td>606</td>\n",
- " <td>1553</td>\n",
- " <td>1001</td>\n",
- " <td>904</td>\n",
- " <td>1154</td>\n",
- " <td>1056</td>\n",
- " <td>923</td>\n",
- " <td>1462</td>\n",
- " <td>1174</td>\n",
- " <td>688</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>43</th>\n",
- " <td>2020-10-23 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10739</td>\n",
- " <td>NaN</td>\n",
- " <td>9759</td>\n",
- " <td>NaN</td>\n",
- " <td>9104</td>\n",
- " <td>NaN</td>\n",
- " <td>628</td>\n",
- " <td>...</td>\n",
- " <td>600</td>\n",
- " <td>1714</td>\n",
- " <td>1111</td>\n",
- " <td>891</td>\n",
- " <td>1124</td>\n",
- " <td>1154</td>\n",
- " <td>922</td>\n",
- " <td>1510</td>\n",
- " <td>1044</td>\n",
- " <td>661</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>44</th>\n",
- " <td>2020-10-30 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10887</td>\n",
- " <td>NaN</td>\n",
- " <td>9891</td>\n",
- " <td>NaN</td>\n",
- " <td>9248</td>\n",
- " <td>NaN</td>\n",
- " <td>616</td>\n",
- " <td>...</td>\n",
- " <td>591</td>\n",
- " <td>1754</td>\n",
- " <td>1168</td>\n",
- " <td>882</td>\n",
- " <td>1102</td>\n",
- " <td>1089</td>\n",
- " <td>888</td>\n",
- " <td>1563</td>\n",
- " <td>1129</td>\n",
- " <td>712</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>45</th>\n",
- " <td>2020-11-06 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>11812</td>\n",
- " <td>NaN</td>\n",
- " <td>10331</td>\n",
- " <td>NaN</td>\n",
- " <td>9675</td>\n",
- " <td>NaN</td>\n",
- " <td>625</td>\n",
- " <td>...</td>\n",
- " <td>675</td>\n",
- " <td>1900</td>\n",
- " <td>1294</td>\n",
- " <td>990</td>\n",
- " <td>1186</td>\n",
- " <td>1177</td>\n",
- " <td>952</td>\n",
- " <td>1614</td>\n",
- " <td>1174</td>\n",
- " <td>832</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>46</th>\n",
- " <td>2020-11-13 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>12254</td>\n",
- " <td>NaN</td>\n",
- " <td>10350</td>\n",
- " <td>NaN</td>\n",
- " <td>9662</td>\n",
- " <td>NaN</td>\n",
- " <td>658</td>\n",
- " <td>...</td>\n",
- " <td>711</td>\n",
- " <td>1950</td>\n",
- " <td>1350</td>\n",
- " <td>1099</td>\n",
- " <td>1317</td>\n",
- " <td>1172</td>\n",
- " <td>1112</td>\n",
- " <td>1616</td>\n",
- " <td>1168</td>\n",
- " <td>742</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>47</th>\n",
- " <td>2020-11-20 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>12535</td>\n",
- " <td>NaN</td>\n",
- " <td>10380</td>\n",
- " <td>NaN</td>\n",
- " <td>9701</td>\n",
- " <td>NaN</td>\n",
- " <td>653</td>\n",
- " <td>...</td>\n",
- " <td>691</td>\n",
- " <td>1935</td>\n",
- " <td>1441</td>\n",
- " <td>1105</td>\n",
- " <td>1385</td>\n",
- " <td>1186</td>\n",
- " <td>1086</td>\n",
- " <td>1687</td>\n",
- " <td>1159</td>\n",
- " <td>848</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>48</th>\n",
- " <td>2020-11-27 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>12456</td>\n",
- " <td>NaN</td>\n",
- " <td>10357</td>\n",
- " <td>NaN</td>\n",
- " <td>9690</td>\n",
- " <td>NaN</td>\n",
- " <td>646</td>\n",
- " <td>...</td>\n",
- " <td>679</td>\n",
- " <td>1791</td>\n",
- " <td>1501</td>\n",
- " <td>1218</td>\n",
- " <td>1358</td>\n",
- " <td>1159</td>\n",
- " <td>1012</td>\n",
- " <td>1655</td>\n",
- " <td>1272</td>\n",
- " <td>797</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>49</th>\n",
- " <td>2020-12-04 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>12303</td>\n",
- " <td>NaN</td>\n",
- " <td>10695</td>\n",
- " <td>NaN</td>\n",
- " <td>9995</td>\n",
- " <td>NaN</td>\n",
- " <td>679</td>\n",
- " <td>...</td>\n",
- " <td>645</td>\n",
- " <td>1679</td>\n",
- " <td>1403</td>\n",
- " <td>1121</td>\n",
- " <td>1340</td>\n",
- " <td>1229</td>\n",
- " <td>1029</td>\n",
- " <td>1720</td>\n",
- " <td>1284</td>\n",
- " <td>836</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>50</th>\n",
- " <td>2020-12-11 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>12292</td>\n",
- " <td>NaN</td>\n",
- " <td>10750</td>\n",
- " <td>NaN</td>\n",
- " <td>10034</td>\n",
- " <td>NaN</td>\n",
- " <td>693</td>\n",
- " <td>...</td>\n",
- " <td>661</td>\n",
- " <td>1691</td>\n",
- " <td>1326</td>\n",
- " <td>1199</td>\n",
- " <td>1432</td>\n",
- " <td>1224</td>\n",
- " <td>1065</td>\n",
- " <td>1706</td>\n",
- " <td>1156</td>\n",
- " <td>814</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>51</th>\n",
- " <td>2020-12-18 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>13011</td>\n",
- " <td>NaN</td>\n",
- " <td>11548</td>\n",
- " <td>NaN</td>\n",
- " <td>10804</td>\n",
- " <td>NaN</td>\n",
- " <td>718</td>\n",
- " <td>...</td>\n",
- " <td>689</td>\n",
- " <td>1718</td>\n",
- " <td>1380</td>\n",
- " <td>1199</td>\n",
- " <td>1385</td>\n",
- " <td>1317</td>\n",
- " <td>1167</td>\n",
- " <td>1947</td>\n",
- " <td>1311</td>\n",
- " <td>882</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>52</th>\n",
- " <td>2020-12-25 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>11520</td>\n",
- " <td>NaN</td>\n",
- " <td>7954</td>\n",
- " <td>NaN</td>\n",
- " <td>7421</td>\n",
- " <td>NaN</td>\n",
- " <td>518</td>\n",
- " <td>...</td>\n",
- " <td>669</td>\n",
- " <td>1463</td>\n",
- " <td>1130</td>\n",
- " <td>1097</td>\n",
- " <td>1217</td>\n",
- " <td>1198</td>\n",
- " <td>1090</td>\n",
- " <td>1701</td>\n",
- " <td>1115</td>\n",
- " <td>825</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>53</th>\n",
- " <td>2021-01-01 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10069</td>\n",
- " <td>NaN</td>\n",
- " <td>7954</td>\n",
- " <td>NaN</td>\n",
- " <td>7421</td>\n",
- " <td>NaN</td>\n",
- " <td>518</td>\n",
- " <td>...</td>\n",
- " <td>547</td>\n",
- " <td>1346</td>\n",
- " <td>886</td>\n",
- " <td>842</td>\n",
- " <td>1024</td>\n",
- " <td>997</td>\n",
- " <td>1159</td>\n",
- " <td>1595</td>\n",
- " <td>929</td>\n",
- " <td>727</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "<p>54 rows × 91 columns</p>\n",
- "</div>"
- ],
- "text/plain": [
- " Week ended NaN NaN Total deaths, all ages \\\n",
- "Week number Week ended NaN NaN Total deaths, all ages \n",
- "1 2020-01-03 00:00:00 NaN NaN 12254 \n",
- "2 2020-01-10 00:00:00 NaN NaN 14058 \n",
- "3 2020-01-17 00:00:00 NaN NaN 12990 \n",
- "4 2020-01-24 00:00:00 NaN NaN 11856 \n",
- "5 2020-01-31 00:00:00 NaN NaN 11612 \n",
- "6 2020-02-07 00:00:00 NaN NaN 10986 \n",
- "7 2020-02-14 00:00:00 NaN NaN 10944 \n",
- "8 2020-02-21 00:00:00 NaN NaN 10841 \n",
- "9 2020-02-28 00:00:00 NaN NaN 10816 \n",
- "10 2020-03-06 00:00:00 NaN NaN 10895 \n",
- "11 2020-03-13 00:00:00 NaN NaN 11019 \n",
- "12 2020-03-20 00:00:00 NaN NaN 10645 \n",
- "13 2020-03-27 00:00:00 NaN NaN 11141 \n",
- "14 2020-04-03 00:00:00 NaN NaN 16387 \n",
- "15 2020-04-10 00:00:00 NaN NaN 18516 \n",
- "16 2020-04-17 00:00:00 NaN NaN 22351 \n",
- "17 2020-04-24 00:00:00 NaN NaN 21997 \n",
- "18 2020-05-01 00:00:00 NaN NaN 17953 \n",
- "19 2020-05-08 00:00:00 NaN NaN 12657 \n",
- "20 2020-05-15 00:00:00 NaN NaN 14573 \n",
- "21 2020-05-22 00:00:00 NaN NaN 12288 \n",
- "22 2020-05-29 00:00:00 NaN NaN 9824 \n",
- "23 2020-06-05 00:00:00 NaN NaN 10709 \n",
- "24 2020-06-12 00:00:00 NaN NaN 9976 \n",
- "25 2020-06-19 00:00:00 NaN NaN 9339 \n",
- "26 2020-06-26 00:00:00 NaN NaN 8979 \n",
- "27 2020-07-03 00:00:00 NaN NaN 9140 \n",
- "28 2020-07-10 00:00:00 NaN NaN 8690 \n",
- "29 2020-07-17 00:00:00 NaN NaN 8823 \n",
- "30 2020-07-24 00:00:00 NaN NaN 8891 \n",
- "31 2020-07-31 00:00:00 NaN NaN 8946 \n",
- "32 2020-08-07 00:00:00 NaN NaN 8945 \n",
- "33 2020-08-14 00:00:00 NaN NaN 9392 \n",
- "34 2020-08-21 00:00:00 NaN NaN 9631 \n",
- "35 2020-08-28 00:00:00 NaN NaN 9032 \n",
- "36 2020-09-04 00:00:00 NaN NaN 7739 \n",
- "37 2020-09-11 00:00:00 NaN NaN 9811 \n",
- "38 2020-09-18 00:00:00 NaN NaN 9523 \n",
- "39 2020-09-25 00:00:00 NaN NaN 9634 \n",
- "40 2020-10-02 00:00:00 NaN NaN 9945 \n",
- "41 2020-10-09 00:00:00 NaN NaN 9954 \n",
- "42 2020-10-16 00:00:00 NaN NaN 10534 \n",
- "43 2020-10-23 00:00:00 NaN NaN 10739 \n",
- "44 2020-10-30 00:00:00 NaN NaN 10887 \n",
- "45 2020-11-06 00:00:00 NaN NaN 11812 \n",
- "46 2020-11-13 00:00:00 NaN NaN 12254 \n",
- "47 2020-11-20 00:00:00 NaN NaN 12535 \n",
- "48 2020-11-27 00:00:00 NaN NaN 12456 \n",
- "49 2020-12-04 00:00:00 NaN NaN 12303 \n",
- "50 2020-12-11 00:00:00 NaN NaN 12292 \n",
- "51 2020-12-18 00:00:00 NaN NaN 13011 \n",
- "52 2020-12-25 00:00:00 NaN NaN 11520 \n",
- "53 2021-01-01 00:00:00 NaN NaN 10069 \n",
- "\n",
- " Total deaths: average of corresponding \\\n",
- "Week number Total deaths: average of corresponding \n",
- "1 NaN \n",
- "2 NaN \n",
- "3 NaN \n",
- "4 NaN \n",
- "5 NaN \n",
- "6 NaN \n",
- "7 NaN \n",
- "8 NaN \n",
- "9 NaN \n",
- "10 NaN \n",
- "11 NaN \n",
- "12 NaN \n",
- "13 NaN \n",
- "14 NaN \n",
- "15 NaN \n",
- "16 NaN \n",
- "17 NaN \n",
- "18 NaN \n",
- "19 NaN \n",
- "20 NaN \n",
- "21 NaN \n",
- "22 NaN \n",
- "23 NaN \n",
- "24 NaN \n",
- "25 NaN \n",
- "26 NaN \n",
- "27 NaN \n",
- "28 NaN \n",
- "29 NaN \n",
- "30 NaN \n",
- "31 NaN \n",
- "32 NaN \n",
- "33 NaN \n",
- "34 NaN \n",
- "35 NaN \n",
- "36 NaN \n",
- "37 NaN \n",
- "38 NaN \n",
- "39 NaN \n",
- "40 NaN \n",
- "41 NaN \n",
- "42 NaN \n",
- "43 NaN \n",
- "44 NaN \n",
- "45 NaN \n",
- "46 NaN \n",
- "47 NaN \n",
- "48 NaN \n",
- "49 NaN \n",
- "50 NaN \n",
- "51 NaN \n",
- "52 NaN \n",
- "53 NaN \n",
- "\n",
- " week over the previous 5 years 1, 10, 11 (England and Wales) \\\n",
- "Week number week over the previous 5 years 1, 10, 11 (Engl... \n",
- "1 12175 \n",
- "2 13822 \n",
- "3 13216 \n",
- "4 12760 \n",
- "5 12206 \n",
- "6 11925 \n",
- "7 11627 \n",
- "8 11548 \n",
- "9 11183 \n",
- "10 11498 \n",
- "11 11205 \n",
- "12 10573 \n",
- "13 10130 \n",
- "14 10305 \n",
- "15 10520 \n",
- "16 10497 \n",
- "17 10458 \n",
- "18 9941 \n",
- "19 9576 \n",
- "20 10188 \n",
- "21 9940 \n",
- "22 8171 \n",
- "23 9977 \n",
- "24 9417 \n",
- "25 9404 \n",
- "26 9293 \n",
- "27 9183 \n",
- "28 9250 \n",
- "29 9093 \n",
- "30 9052 \n",
- "31 9036 \n",
- "32 9102 \n",
- "33 9085 \n",
- "34 9157 \n",
- "35 8241 \n",
- "36 9182 \n",
- "37 9306 \n",
- "38 9264 \n",
- "39 9377 \n",
- "40 9555 \n",
- "41 9811 \n",
- "42 9865 \n",
- "43 9759 \n",
- "44 9891 \n",
- "45 10331 \n",
- "46 10350 \n",
- "47 10380 \n",
- "48 10357 \n",
- "49 10695 \n",
- "50 10750 \n",
- "51 11548 \n",
- "52 7954 \n",
- "53 7954 \n",
- "\n",
- " Total deaths: average of corresponding \\\n",
- "Week number Total deaths: average of corresponding \n",
- "1 NaN \n",
- "2 NaN \n",
- "3 NaN \n",
- "4 NaN \n",
- "5 NaN \n",
- "6 NaN \n",
- "7 NaN \n",
- "8 NaN \n",
- "9 NaN \n",
- "10 NaN \n",
- "11 NaN \n",
- "12 NaN \n",
- "13 NaN \n",
- "14 NaN \n",
- "15 NaN \n",
- "16 NaN \n",
- "17 NaN \n",
- "18 NaN \n",
- "19 NaN \n",
- "20 NaN \n",
- "21 NaN \n",
- "22 NaN \n",
- "23 NaN \n",
- "24 NaN \n",
- "25 NaN \n",
- "26 NaN \n",
- "27 NaN \n",
- "28 NaN \n",
- "29 NaN \n",
- "30 NaN \n",
- "31 NaN \n",
- "32 NaN \n",
- "33 NaN \n",
- "34 NaN \n",
- "35 NaN \n",
- "36 NaN \n",
- "37 NaN \n",
- "38 NaN \n",
- "39 NaN \n",
- "40 NaN \n",
- "41 NaN \n",
- "42 NaN \n",
- "43 NaN \n",
- "44 NaN \n",
- "45 NaN \n",
- "46 NaN \n",
- "47 NaN \n",
- "48 NaN \n",
- "49 NaN \n",
- "50 NaN \n",
- "51 NaN \n",
- "52 NaN \n",
- "53 NaN \n",
- "\n",
- " week over the previous 5 years 1, 10, 11 (England) \\\n",
- "Week number week over the previous 5 years 1, 10, 11 (Engl... \n",
- "1 11412 \n",
- "2 12933 \n",
- "3 12370 \n",
- "4 11933 \n",
- "5 11419 \n",
- "6 11154 \n",
- "7 10876 \n",
- "8 10790 \n",
- "9 10448 \n",
- "10 10745 \n",
- "11 10447 \n",
- "12 9841 \n",
- "13 9414 \n",
- "14 9601 \n",
- "15 9807 \n",
- "16 9787 \n",
- "17 9768 \n",
- "18 9289 \n",
- "19 8937 \n",
- "20 9526 \n",
- "21 9299 \n",
- "22 7607 \n",
- "23 9346 \n",
- "24 8803 \n",
- "25 8810 \n",
- "26 8695 \n",
- "27 8606 \n",
- "28 8648 \n",
- "29 8502 \n",
- "30 8452 \n",
- "31 8436 \n",
- "32 8502 \n",
- "33 8494 \n",
- "34 8560 \n",
- "35 7674 \n",
- "36 8604 \n",
- "37 8708 \n",
- "38 8663 \n",
- "39 8744 \n",
- "40 8942 \n",
- "41 9168 \n",
- "42 9215 \n",
- "43 9104 \n",
- "44 9248 \n",
- "45 9675 \n",
- "46 9662 \n",
- "47 9701 \n",
- "48 9690 \n",
- "49 9995 \n",
- "50 10034 \n",
- "51 10804 \n",
- "52 7421 \n",
- "53 7421 \n",
- "\n",
- " Total deaths: average of corresponding \\\n",
- "Week number Total deaths: average of corresponding \n",
- "1 NaN \n",
- "2 NaN \n",
- "3 NaN \n",
- "4 NaN \n",
- "5 NaN \n",
- "6 NaN \n",
- "7 NaN \n",
- "8 NaN \n",
- "9 NaN \n",
- "10 NaN \n",
- "11 NaN \n",
- "12 NaN \n",
- "13 NaN \n",
- "14 NaN \n",
- "15 NaN \n",
- "16 NaN \n",
- "17 NaN \n",
- "18 NaN \n",
- "19 NaN \n",
- "20 NaN \n",
- "21 NaN \n",
- "22 NaN \n",
- "23 NaN \n",
- "24 NaN \n",
- "25 NaN \n",
- "26 NaN \n",
- "27 NaN \n",
- "28 NaN \n",
- "29 NaN \n",
- "30 NaN \n",
- "31 NaN \n",
- "32 NaN \n",
- "33 NaN \n",
- "34 NaN \n",
- "35 NaN \n",
- "36 NaN \n",
- "37 NaN \n",
- "38 NaN \n",
- "39 NaN \n",
- "40 NaN \n",
- "41 NaN \n",
- "42 NaN \n",
- "43 NaN \n",
- "44 NaN \n",
- "45 NaN \n",
- "46 NaN \n",
- "47 NaN \n",
- "48 NaN \n",
- "49 NaN \n",
- "50 NaN \n",
- "51 NaN \n",
- "52 NaN \n",
- "53 NaN \n",
- "\n",
- " week over the previous 5 years 1, 10, 11 (Wales) ... North East \\\n",
- "Week number week over the previous 5 years 1, 10, 11 (Wales) ... E12000001 \n",
- "1 756 ... 673 \n",
- "2 856 ... 707 \n",
- "3 812 ... 647 \n",
- "4 802 ... 612 \n",
- "5 760 ... 561 \n",
- "6 729 ... 564 \n",
- "7 722 ... 573 \n",
- "8 724 ... 539 \n",
- "9 698 ... 572 \n",
- "10 720 ... 568 \n",
- "11 727 ... 590 \n",
- "12 677 ... 522 \n",
- "13 665 ... 542 \n",
- "14 667 ... 770 \n",
- "15 671 ... 849 \n",
- "16 661 ... 1155 \n",
- "17 662 ... 1103 \n",
- "18 624 ... 922 \n",
- "19 612 ... 769 \n",
- "20 635 ... 845 \n",
- "21 614 ... 718 \n",
- "22 546 ... 550 \n",
- "23 610 ... 576 \n",
- "24 588 ... 478 \n",
- "25 573 ... 498 \n",
- "26 571 ... 485 \n",
- "27 555 ... 515 \n",
- "28 578 ... 468 \n",
- "29 557 ... 445 \n",
- "30 566 ... 493 \n",
- "31 572 ... 507 \n",
- "32 571 ... 486 \n",
- "33 564 ... 520 \n",
- "34 573 ... 479 \n",
- "35 539 ... 455 \n",
- "36 552 ... 431 \n",
- "37 577 ... 502 \n",
- "38 575 ... 465 \n",
- "39 604 ... 514 \n",
- "40 587 ... 558 \n",
- "41 615 ... 544 \n",
- "42 630 ... 606 \n",
- "43 628 ... 600 \n",
- "44 616 ... 591 \n",
- "45 625 ... 675 \n",
- "46 658 ... 711 \n",
- "47 653 ... 691 \n",
- "48 646 ... 679 \n",
- "49 679 ... 645 \n",
- "50 693 ... 661 \n",
- "51 718 ... 689 \n",
- "52 518 ... 669 \n",
- "53 518 ... 547 \n",
- "\n",
- " North West Yorkshire and The Humber East Midlands West Midlands \\\n",
- "Week number E12000002 E12000003 E12000004 E12000005 \n",
- "1 1806 1240 1060 1349 \n",
- "2 1932 1339 1195 1450 \n",
- "3 1696 1278 1106 1407 \n",
- "4 1529 1187 1024 1231 \n",
- "5 1461 1136 1015 1262 \n",
- "6 1529 1072 922 1052 \n",
- "7 1427 1059 976 1159 \n",
- "8 1477 1087 924 1116 \n",
- "9 1476 1078 919 1174 \n",
- "10 1490 1112 930 1098 \n",
- "11 1472 1053 915 1187 \n",
- "12 1443 1012 947 1115 \n",
- "13 1538 982 922 1035 \n",
- "14 2137 1436 1246 1812 \n",
- "15 2597 1503 1452 2182 \n",
- "16 3195 1960 1632 2536 \n",
- "17 3109 2095 1711 2481 \n",
- "18 2503 1844 1418 1975 \n",
- "19 1790 1328 1094 1326 \n",
- "20 1992 1589 1283 1502 \n",
- "21 1636 1236 1041 1319 \n",
- "22 1337 1046 863 970 \n",
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- "24 1374 980 967 1096 \n",
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- "\n",
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- "14 1717 2511 2294 1520 920 \n",
- "15 1984 2832 2604 1560 928 \n",
- "16 2466 3275 3084 1854 1169 \n",
- "17 2299 2785 3334 1924 1124 \n",
- "18 1982 1953 2853 1554 929 \n",
- "19 1321 1213 1887 1218 692 \n",
- "20 1543 1329 2251 1449 772 \n",
- "21 1397 1125 1937 1177 692 \n",
- "22 1095 841 1515 1011 587 \n",
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- "\n",
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- },
- "execution_count": 46,
- "metadata": {},
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- " week date_up_to deaths year nation\n",
- "0 1 2020-01-03 00:00:00 787 2020 Wales\n",
- "1 2 2020-01-10 00:00:00 939 2020 Wales\n",
- "2 3 2020-01-17 00:00:00 767 2020 Wales\n",
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- "4 5 2020-01-31 00:00:00 727 2020 Wales"
- ]
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- "execution_count": 47,
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- "output_type": "execute_result"
- }
- ],
- "source": [
- "rd = eng_xls.iloc[1:][['Week ended', 'Wales']].reset_index(level=0).rename(\n",
- " columns={'Week ended': 'date_up_to', 'Wales': 'deaths',\n",
- " 'index': 'week'}\n",
- " )\n",
- "rd['year'] = 2020\n",
- "rd['nation'] = 'Wales'\n",
- "rd.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 48,
- "metadata": {},
- "outputs": [],
- "source": [
- "rd.to_sql(\n",
- " 'all_causes_deaths',\n",
- " conn,\n",
- " if_exists='append',\n",
- " index=False)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 49,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "<ipython-input-49-7dd1e0e9987b>:2: SettingWithCopyWarning: \n",
- "A value is trying to be set on a copy of a slice from a DataFrame.\n",
- "Try using .loc[row_indexer,col_indexer] = value instead\n",
- "\n",
- "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
- " eng_xls['England deaths'] = eng_xls.loc[:, 'Total deaths, all ages'] - eng_xls.loc[:, 'Wales']\n"
- ]
- }
- ],
- "source": [
- "eng_xls = eng_xls.iloc[1:]\n",
- "eng_xls['England deaths'] = eng_xls.loc[:, 'Total deaths, all ages'] - eng_xls.loc[:, 'Wales']"
- ]
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- "2 2020-01-10 00:00:00 NaN NaN 14058 \n",
- "3 2020-01-17 00:00:00 NaN NaN 12990 \n",
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- "2 NaN \n",
- "3 NaN \n",
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- "2 13822 \n",
- "3 13216 \n",
- "4 12760 \n",
- "5 12206 \n",
- "\n",
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- "1 NaN \n",
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- "4 NaN \n",
- "5 NaN \n",
- "\n",
- " week over the previous 5 years 1, 10, 11 (England) \\\n",
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- "2 12933 \n",
- "3 12370 \n",
- "4 11933 \n",
- "5 11419 \n",
- "\n",
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- "3 NaN \n",
- "4 NaN \n",
- "5 NaN \n",
- "\n",
- " week over the previous 5 years 1, 10, 11 (Wales) ... North West \\\n",
- "1 756 ... 1806 \n",
- "2 856 ... 1932 \n",
- "3 812 ... 1696 \n",
- "4 802 ... 1529 \n",
- "5 760 ... 1461 \n",
- "\n",
- " Yorkshire and The Humber East Midlands West Midlands East London \\\n",
- "1 1240 1060 1349 1162 1113 \n",
- "2 1339 1195 1450 1573 1272 \n",
- "3 1278 1106 1407 1457 1073 \n",
- "4 1187 1024 1231 1410 1028 \n",
- "5 1136 1015 1262 1286 1092 \n",
- "\n",
- " South East South West Wales England deaths \n",
- "1 1814 1225 787 11467 \n",
- "2 2132 1487 939 13119 \n",
- "3 2064 1466 767 12223 \n",
- "4 1833 1253 723 11133 \n",
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- "\n",
- "[5 rows x 92 columns]"
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- "execution_count": 50,
- "metadata": {},
- "output_type": "execute_result"
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- "source": [
- "eng_xls.head()"
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- " week date_up_to deaths year nation\n",
- "0 1 2020-01-03 00:00:00 11467 2020 England\n",
- "1 2 2020-01-10 00:00:00 13119 2020 England\n",
- "2 3 2020-01-17 00:00:00 12223 2020 England\n",
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- ]
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- "execution_count": 51,
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- }
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- "source": [
- "rd = eng_xls[['Week ended', 'England deaths']].reset_index(level=0).rename(\n",
- " columns={'Week ended': 'date_up_to', 'England deaths': 'deaths',\n",
- " 'index': 'week'}\n",
- " )\n",
- "rd['year'] = 2020\n",
- "rd['nation'] = 'England'\n",
- "rd.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 52,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "0 rows affected.\n"
- ]
- },
- {
- "data": {
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- "[]"
- ]
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- "execution_count": 52,
- "metadata": {},
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- }
- ],
- "source": [
- "%sql delete from all_causes_deaths where nation = 'England'"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 53,
- "metadata": {},
- "outputs": [],
- "source": [
- "rd.to_sql(\n",
- " 'all_causes_deaths',\n",
- " conn,\n",
- " if_exists='append',\n",
- " index=False)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 54,
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- " .dataframe thead th {\n",
- " text-align: right;\n",
- " }\n",
- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>week</th>\n",
- " <th>date_up_to</th>\n",
- " <th>deaths</th>\n",
- " <th>year</th>\n",
- " <th>nation</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>48</th>\n",
- " <td>49</td>\n",
- " <td>2020-12-04 00:00:00</td>\n",
- " <td>11467</td>\n",
- " <td>2020</td>\n",
- " <td>England</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>49</th>\n",
- " <td>50</td>\n",
- " <td>2020-12-11 00:00:00</td>\n",
- " <td>11478</td>\n",
- " <td>2020</td>\n",
- " <td>England</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>50</th>\n",
- " <td>51</td>\n",
- " <td>2020-12-18 00:00:00</td>\n",
- " <td>12129</td>\n",
- " <td>2020</td>\n",
- " <td>England</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>51</th>\n",
- " <td>52</td>\n",
- " <td>2020-12-25 00:00:00</td>\n",
- " <td>10695</td>\n",
- " <td>2020</td>\n",
- " <td>England</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>52</th>\n",
- " <td>53</td>\n",
- " <td>2021-01-01 00:00:00</td>\n",
- " <td>9342</td>\n",
- " <td>2020</td>\n",
- " <td>England</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " week date_up_to deaths year nation\n",
- "48 49 2020-12-04 00:00:00 11467 2020 England\n",
- "49 50 2020-12-11 00:00:00 11478 2020 England\n",
- "50 51 2020-12-18 00:00:00 12129 2020 England\n",
- "51 52 2020-12-25 00:00:00 10695 2020 England\n",
- "52 53 2021-01-01 00:00:00 9342 2020 England"
- ]
- },
- "execution_count": 54,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "rd.tail()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 55,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "14 rows affected.\n"
- ]
- },
- {
- "data": {
- "text/html": [
- "<table>\n",
- " <thead>\n",
- " <tr>\n",
- " <th>year</th>\n",
- " <th>nation</th>\n",
- " <th>count</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <td>2020</td>\n",
- " <td>England</td>\n",
- " <td>53</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2015</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>53</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2016</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2017</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2018</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2019</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>53</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2015</td>\n",
- " <td>Scotland</td>\n",
- " <td>53</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2016</td>\n",
- " <td>Scotland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2017</td>\n",
- " <td>Scotland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2018</td>\n",
- " <td>Scotland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2019</td>\n",
- " <td>Scotland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020</td>\n",
- " <td>Scotland</td>\n",
- " <td>53</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020</td>\n",
- " <td>Wales</td>\n",
- " <td>53</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>"
- ],
- "text/plain": [
- "[(2020, 'England', 53),\n",
- " (2015, 'Northern Ireland', 53),\n",
- " (2016, 'Northern Ireland', 52),\n",
- " (2017, 'Northern Ireland', 52),\n",
- " (2018, 'Northern Ireland', 52),\n",
- " (2019, 'Northern Ireland', 52),\n",
- " (2020, 'Northern Ireland', 53),\n",
- " (2015, 'Scotland', 53),\n",
- " (2016, 'Scotland', 52),\n",
- " (2017, 'Scotland', 52),\n",
- " (2018, 'Scotland', 52),\n",
- " (2019, 'Scotland', 52),\n",
- " (2020, 'Scotland', 53),\n",
- " (2020, 'Wales', 53)]"
- ]
- },
- "execution_count": 55,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "%sql select year, nation, count(date_up_to) from all_causes_deaths group by (year, nation) order by nation, year"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 56,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# raw_data_2020 = pd.read_csv('uk-deaths-data/publishedweek272020.csv', \n",
- "# parse_dates=[1], dayfirst=True,\n",
- "# index_col=0,\n",
- "# header=[0, 1])"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": 57,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# raw_data_2020.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 58,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# raw_data_2020['W92000004', 'Wales']"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 59,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "raw_data_2019 = pd.read_csv('uk-deaths-data/publishedweek522019.csv', \n",
- " parse_dates=[1], dayfirst=True,\n",
- "# index_col=0,\n",
- " header=[0, 1])\n",
- "# raw_data_2019.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 60,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
- " .dataframe tbody tr th:only-of-type {\n",
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- "\n",
- " .dataframe thead th {\n",
- " text-align: right;\n",
- " }\n",
- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>Week number</th>\n",
- " <th>Week ended</th>\n",
- " <th>Total deaths, all ages</th>\n",
- " <th>W92000004</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>0</th>\n",
- " <td>1</td>\n",
- " <td>2019-01-04</td>\n",
- " <td>10955</td>\n",
- " <td>718</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>2</td>\n",
- " <td>2019-01-11</td>\n",
- " <td>12609</td>\n",
- " <td>809</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>3</td>\n",
- " <td>2019-01-18</td>\n",
- " <td>11860</td>\n",
- " <td>683</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>4</td>\n",
- " <td>2019-01-25</td>\n",
- " <td>11740</td>\n",
- " <td>734</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>5</td>\n",
- " <td>2019-02-01</td>\n",
- " <td>11297</td>\n",
- " <td>745</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " Week number Week ended Total deaths, all ages W92000004\n",
- "0 1 2019-01-04 10955 718\n",
- "1 2 2019-01-11 12609 809\n",
- "2 3 2019-01-18 11860 683\n",
- "3 4 2019-01-25 11740 734\n",
- "4 5 2019-02-01 11297 745"
- ]
- },
- "execution_count": 60,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "rdew = raw_data_2019.iloc[:, [0, 1, 2, -1]].droplevel(axis=1, level=1)\n",
- "rdew.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 61,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
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- " <th>date_up_to</th>\n",
- " <th>deaths</th>\n",
- " <th>year</th>\n",
- " <th>nation</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>0</th>\n",
- " <td>1</td>\n",
- " <td>2019-01-04</td>\n",
- " <td>718</td>\n",
- " <td>2019</td>\n",
- " <td>Wales</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>2</td>\n",
- " <td>2019-01-11</td>\n",
- " <td>809</td>\n",
- " <td>2019</td>\n",
- " <td>Wales</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>3</td>\n",
- " <td>2019-01-18</td>\n",
- " <td>683</td>\n",
- " <td>2019</td>\n",
- " <td>Wales</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>4</td>\n",
- " <td>2019-01-25</td>\n",
- " <td>734</td>\n",
- " <td>2019</td>\n",
- " <td>Wales</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>5</td>\n",
- " <td>2019-02-01</td>\n",
- " <td>745</td>\n",
- " <td>2019</td>\n",
- " <td>Wales</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " week date_up_to deaths year nation\n",
- "0 1 2019-01-04 718 2019 Wales\n",
- "1 2 2019-01-11 809 2019 Wales\n",
- "2 3 2019-01-18 683 2019 Wales\n",
- "3 4 2019-01-25 734 2019 Wales\n",
- "4 5 2019-02-01 745 2019 Wales"
- ]
- },
- "execution_count": 61,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "rd = rdew.drop(columns=['Total deaths, all ages']).rename(\n",
- " columns={'Week ended': 'date_up_to', 'W92000004': 'deaths',\n",
- " 'Week number': 'week'}\n",
- " )\n",
- "rd['year'] = 2019\n",
- "rd['nation'] = 'Wales'\n",
- "rd.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 62,
- "metadata": {},
- "outputs": [],
- "source": [
- "rd.to_sql(\n",
- " 'all_causes_deaths',\n",
- " conn,\n",
- " if_exists='append',\n",
- " index=False)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 63,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
- " .dataframe tbody tr th:only-of-type {\n",
- " vertical-align: middle;\n",
- " }\n",
- "\n",
- " .dataframe tbody tr th {\n",
- " vertical-align: top;\n",
- " }\n",
- "\n",
- " .dataframe thead th {\n",
- " text-align: right;\n",
- " }\n",
- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>date_up_to</th>\n",
- " <th>week</th>\n",
- " <th>deaths</th>\n",
- " <th>year</th>\n",
- " <th>nation</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>0</th>\n",
- " <td>2019-01-04</td>\n",
- " <td>1</td>\n",
- " <td>10237</td>\n",
- " <td>2019</td>\n",
- " <td>England</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>2019-01-11</td>\n",
- " <td>2</td>\n",
- " <td>11800</td>\n",
- " <td>2019</td>\n",
- " <td>England</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>2019-01-18</td>\n",
- " <td>3</td>\n",
- " <td>11177</td>\n",
- " <td>2019</td>\n",
- " <td>England</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>2019-01-25</td>\n",
- " <td>4</td>\n",
- " <td>11006</td>\n",
- " <td>2019</td>\n",
- " <td>England</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>2019-02-01</td>\n",
- " <td>5</td>\n",
- " <td>10552</td>\n",
- " <td>2019</td>\n",
- " <td>England</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " date_up_to week deaths year nation\n",
- "0 2019-01-04 1 10237 2019 England\n",
- "1 2019-01-11 2 11800 2019 England\n",
- "2 2019-01-18 3 11177 2019 England\n",
- "3 2019-01-25 4 11006 2019 England\n",
- "4 2019-02-01 5 10552 2019 England"
- ]
- },
- "execution_count": 63,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "rd = rdew.loc[:, ['Week ended','Week number']]\n",
- "rd['deaths'] = rdew['Total deaths, all ages'] - rdew['W92000004']\n",
- "rd = rd.rename(\n",
- " columns={'Week ended': 'date_up_to', 'Week number': 'week'}\n",
- " )\n",
- "rd['year'] = 2019\n",
- "rd['nation'] = 'England'\n",
- "rd.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 64,
- "metadata": {},
- "outputs": [],
- "source": [
- "rd.to_sql(\n",
- " 'all_causes_deaths',\n",
- " conn,\n",
- " if_exists='append',\n",
- " index=False)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 65,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "16 rows affected.\n"
- ]
- },
- {
- "data": {
- "text/html": [
- "<table>\n",
- " <thead>\n",
- " <tr>\n",
- " <th>year</th>\n",
- " <th>nation</th>\n",
- " <th>count</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <td>2019</td>\n",
- " <td>England</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020</td>\n",
- " <td>England</td>\n",
- " <td>53</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2015</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>53</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2016</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2017</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2018</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2019</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>53</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2015</td>\n",
- " <td>Scotland</td>\n",
- " <td>53</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2016</td>\n",
- " <td>Scotland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2017</td>\n",
- " <td>Scotland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2018</td>\n",
- " <td>Scotland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2019</td>\n",
- " <td>Scotland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020</td>\n",
- " <td>Scotland</td>\n",
- " <td>53</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2019</td>\n",
- " <td>Wales</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020</td>\n",
- " <td>Wales</td>\n",
- " <td>53</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>"
- ],
- "text/plain": [
- "[(2019, 'England', 52),\n",
- " (2020, 'England', 53),\n",
- " (2015, 'Northern Ireland', 53),\n",
- " (2016, 'Northern Ireland', 52),\n",
- " (2017, 'Northern Ireland', 52),\n",
- " (2018, 'Northern Ireland', 52),\n",
- " (2019, 'Northern Ireland', 52),\n",
- " (2020, 'Northern Ireland', 53),\n",
- " (2015, 'Scotland', 53),\n",
- " (2016, 'Scotland', 52),\n",
- " (2017, 'Scotland', 52),\n",
- " (2018, 'Scotland', 52),\n",
- " (2019, 'Scotland', 52),\n",
- " (2020, 'Scotland', 53),\n",
- " (2019, 'Wales', 52),\n",
- " (2020, 'Wales', 53)]"
- ]
- },
- "execution_count": 65,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "%sql select year, nation, count(date_up_to) from all_causes_deaths group by (year, nation) order by nation, year"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 66,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "raw_data_2018 = pd.read_csv('uk-deaths-data/publishedweek522018.csv', \n",
- " parse_dates=[1], dayfirst=True,\n",
- "# index_col=0,\n",
- " header=[0, 1])\n",
- "# raw_data_2018.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 67,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
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- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>Week number</th>\n",
- " <th>Week ended</th>\n",
- " <th>Total deaths, all ages</th>\n",
- " <th>W92000004</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>0</th>\n",
- " <td>1</td>\n",
- " <td>2018-01-05</td>\n",
- " <td>12723</td>\n",
- " <td>783</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>2</td>\n",
- " <td>2018-01-12</td>\n",
- " <td>15050</td>\n",
- " <td>904</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>3</td>\n",
- " <td>2018-01-19</td>\n",
- " <td>14256</td>\n",
- " <td>885</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>4</td>\n",
- " <td>2018-01-26</td>\n",
- " <td>13935</td>\n",
- " <td>850</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>5</td>\n",
- " <td>2018-02-02</td>\n",
- " <td>13285</td>\n",
- " <td>815</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " Week number Week ended Total deaths, all ages W92000004\n",
- "0 1 2018-01-05 12723 783\n",
- "1 2 2018-01-12 15050 904\n",
- "2 3 2018-01-19 14256 885\n",
- "3 4 2018-01-26 13935 850\n",
- "4 5 2018-02-02 13285 815"
- ]
- },
- "execution_count": 67,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "rdew = raw_data_2018.iloc[:, [0, 1, 2, -1]].droplevel(axis=1, level=1)\n",
- "rdew.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 68,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
- " .dataframe tbody tr th:only-of-type {\n",
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- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>week</th>\n",
- " <th>date_up_to</th>\n",
- " <th>deaths</th>\n",
- " <th>year</th>\n",
- " <th>nation</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>0</th>\n",
- " <td>1</td>\n",
- " <td>2018-01-05</td>\n",
- " <td>783</td>\n",
- " <td>2018</td>\n",
- " <td>Wales</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>2</td>\n",
- " <td>2018-01-12</td>\n",
- " <td>904</td>\n",
- " <td>2018</td>\n",
- " <td>Wales</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>3</td>\n",
- " <td>2018-01-19</td>\n",
- " <td>885</td>\n",
- " <td>2018</td>\n",
- " <td>Wales</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>4</td>\n",
- " <td>2018-01-26</td>\n",
- " <td>850</td>\n",
- " <td>2018</td>\n",
- " <td>Wales</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>5</td>\n",
- " <td>2018-02-02</td>\n",
- " <td>815</td>\n",
- " <td>2018</td>\n",
- " <td>Wales</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " week date_up_to deaths year nation\n",
- "0 1 2018-01-05 783 2018 Wales\n",
- "1 2 2018-01-12 904 2018 Wales\n",
- "2 3 2018-01-19 885 2018 Wales\n",
- "3 4 2018-01-26 850 2018 Wales\n",
- "4 5 2018-02-02 815 2018 Wales"
- ]
- },
- "execution_count": 68,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "rd = rdew.drop(columns=['Total deaths, all ages']).rename(\n",
- " columns={'Week ended': 'date_up_to', 'W92000004': 'deaths',\n",
- " 'Week number': 'week'}\n",
- " )\n",
- "rd['year'] = 2018\n",
- "rd['nation'] = 'Wales'\n",
- "rd.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 69,
- "metadata": {},
- "outputs": [],
- "source": [
- "rd.to_sql(\n",
- " 'all_causes_deaths',\n",
- " conn,\n",
- " if_exists='append',\n",
- " index=False)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 70,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
- " .dataframe tbody tr th:only-of-type {\n",
- " vertical-align: middle;\n",
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- " <th>week</th>\n",
- " <th>deaths</th>\n",
- " <th>year</th>\n",
- " <th>nation</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>0</th>\n",
- " <td>2018-01-05</td>\n",
- " <td>1</td>\n",
- " <td>11940</td>\n",
- " <td>2018</td>\n",
- " <td>England</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>2018-01-12</td>\n",
- " <td>2</td>\n",
- " <td>14146</td>\n",
- " <td>2018</td>\n",
- " <td>England</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>2018-01-19</td>\n",
- " <td>3</td>\n",
- " <td>13371</td>\n",
- " <td>2018</td>\n",
- " <td>England</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>2018-01-26</td>\n",
- " <td>4</td>\n",
- " <td>13085</td>\n",
- " <td>2018</td>\n",
- " <td>England</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>2018-02-02</td>\n",
- " <td>5</td>\n",
- " <td>12470</td>\n",
- " <td>2018</td>\n",
- " <td>England</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " date_up_to week deaths year nation\n",
- "0 2018-01-05 1 11940 2018 England\n",
- "1 2018-01-12 2 14146 2018 England\n",
- "2 2018-01-19 3 13371 2018 England\n",
- "3 2018-01-26 4 13085 2018 England\n",
- "4 2018-02-02 5 12470 2018 England"
- ]
- },
- "execution_count": 70,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "rd = rdew.loc[:, ['Week ended','Week number']]\n",
- "rd['deaths'] = rdew['Total deaths, all ages'] - rdew['W92000004']\n",
- "rd = rd.rename(\n",
- " columns={'Week ended': 'date_up_to', 'Week number': 'week'}\n",
- " )\n",
- "rd['year'] = 2018\n",
- "rd['nation'] = 'England'\n",
- "rd.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 71,
- "metadata": {},
- "outputs": [],
- "source": [
- "rd.to_sql(\n",
- " 'all_causes_deaths',\n",
- " conn,\n",
- " if_exists='append',\n",
- " index=False)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 72,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "18 rows affected.\n"
- ]
- },
- {
- "data": {
- "text/html": [
- "<table>\n",
- " <thead>\n",
- " <tr>\n",
- " <th>year</th>\n",
- " <th>nation</th>\n",
- " <th>count</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <td>2018</td>\n",
- " <td>England</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2019</td>\n",
- " <td>England</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020</td>\n",
- " <td>England</td>\n",
- " <td>53</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2015</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>53</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2016</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2017</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2018</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2019</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>53</td>\n",
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- " <td>2015</td>\n",
- " <td>Scotland</td>\n",
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- " <td>2018</td>\n",
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- " <td>2019</td>\n",
- " <td>Scotland</td>\n",
- " <td>52</td>\n",
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- " <tr>\n",
- " <td>2020</td>\n",
- " <td>Scotland</td>\n",
- " <td>53</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2018</td>\n",
- " <td>Wales</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2019</td>\n",
- " <td>Wales</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020</td>\n",
- " <td>Wales</td>\n",
- " <td>53</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>"
- ],
- "text/plain": [
- "[(2018, 'England', 52),\n",
- " (2019, 'England', 52),\n",
- " (2020, 'England', 53),\n",
- " (2015, 'Northern Ireland', 53),\n",
- " (2016, 'Northern Ireland', 52),\n",
- " (2017, 'Northern Ireland', 52),\n",
- " (2018, 'Northern Ireland', 52),\n",
- " (2019, 'Northern Ireland', 52),\n",
- " (2020, 'Northern Ireland', 53),\n",
- " (2015, 'Scotland', 53),\n",
- " (2016, 'Scotland', 52),\n",
- " (2017, 'Scotland', 52),\n",
- " (2018, 'Scotland', 52),\n",
- " (2019, 'Scotland', 52),\n",
- " (2020, 'Scotland', 53),\n",
- " (2018, 'Wales', 52),\n",
- " (2019, 'Wales', 52),\n",
- " (2020, 'Wales', 53)]"
- ]
- },
- "execution_count": 72,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "%sql select year, nation, count(date_up_to) from all_causes_deaths group by (year, nation) order by nation, year"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 73,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "raw_data_2017 = pd.read_csv('uk-deaths-data/publishedweek522017.csv', \n",
- " parse_dates=[1], dayfirst=True,\n",
- "# index_col=0,\n",
- " header=[0, 1])\n",
- "# raw_data_2017.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 74,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
- " .dataframe tbody tr th:only-of-type {\n",
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- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>Week number</th>\n",
- " <th>Week ended</th>\n",
- " <th>Total deaths, all ages</th>\n",
- " <th>W92000004</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>0</th>\n",
- " <td>1</td>\n",
- " <td>2017-01-06</td>\n",
- " <td>11991</td>\n",
- " <td>744</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>2</td>\n",
- " <td>2017-01-13</td>\n",
- " <td>13715</td>\n",
- " <td>825</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>3</td>\n",
- " <td>2017-01-20</td>\n",
- " <td>13610</td>\n",
- " <td>835</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>4</td>\n",
- " <td>2017-01-27</td>\n",
- " <td>12877</td>\n",
- " <td>881</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>5</td>\n",
- " <td>2017-02-03</td>\n",
- " <td>12485</td>\n",
- " <td>749</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " Week number Week ended Total deaths, all ages W92000004\n",
- "0 1 2017-01-06 11991 744\n",
- "1 2 2017-01-13 13715 825\n",
- "2 3 2017-01-20 13610 835\n",
- "3 4 2017-01-27 12877 881\n",
- "4 5 2017-02-03 12485 749"
- ]
- },
- "execution_count": 74,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "rdew = raw_data_2017.iloc[:, [0, 1, 2, -1]].droplevel(axis=1, level=1)\n",
- "rdew.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 75,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
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- " <td>Wales</td>\n",
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- " <th>1</th>\n",
- " <td>2</td>\n",
- " <td>2017-01-13</td>\n",
- " <td>825</td>\n",
- " <td>2017</td>\n",
- " <td>Wales</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>3</td>\n",
- " <td>2017-01-20</td>\n",
- " <td>835</td>\n",
- " <td>2017</td>\n",
- " <td>Wales</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>4</td>\n",
- " <td>2017-01-27</td>\n",
- " <td>881</td>\n",
- " <td>2017</td>\n",
- " <td>Wales</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>5</td>\n",
- " <td>2017-02-03</td>\n",
- " <td>749</td>\n",
- " <td>2017</td>\n",
- " <td>Wales</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " week date_up_to deaths year nation\n",
- "0 1 2017-01-06 744 2017 Wales\n",
- "1 2 2017-01-13 825 2017 Wales\n",
- "2 3 2017-01-20 835 2017 Wales\n",
- "3 4 2017-01-27 881 2017 Wales\n",
- "4 5 2017-02-03 749 2017 Wales"
- ]
- },
- "execution_count": 75,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "rd = rdew.drop(columns=['Total deaths, all ages']).rename(\n",
- " columns={'Week ended': 'date_up_to', 'W92000004': 'deaths',\n",
- " 'Week number': 'week'}\n",
- " )\n",
- "rd['year'] = 2017\n",
- "rd['nation'] = 'Wales'\n",
- "rd.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 76,
- "metadata": {},
- "outputs": [],
- "source": [
- "rd.to_sql(\n",
- " 'all_causes_deaths',\n",
- " conn,\n",
- " if_exists='append',\n",
- " index=False)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 77,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
- " .dataframe tbody tr th:only-of-type {\n",
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- " <th></th>\n",
- " <th>date_up_to</th>\n",
- " <th>week</th>\n",
- " <th>deaths</th>\n",
- " <th>year</th>\n",
- " <th>nation</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>0</th>\n",
- " <td>2017-01-06</td>\n",
- " <td>1</td>\n",
- " <td>11247</td>\n",
- " <td>2017</td>\n",
- " <td>England</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>2017-01-13</td>\n",
- " <td>2</td>\n",
- " <td>12890</td>\n",
- " <td>2017</td>\n",
- " <td>England</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>2017-01-20</td>\n",
- " <td>3</td>\n",
- " <td>12775</td>\n",
- " <td>2017</td>\n",
- " <td>England</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>2017-01-27</td>\n",
- " <td>4</td>\n",
- " <td>11996</td>\n",
- " <td>2017</td>\n",
- " <td>England</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>2017-02-03</td>\n",
- " <td>5</td>\n",
- " <td>11736</td>\n",
- " <td>2017</td>\n",
- " <td>England</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " date_up_to week deaths year nation\n",
- "0 2017-01-06 1 11247 2017 England\n",
- "1 2017-01-13 2 12890 2017 England\n",
- "2 2017-01-20 3 12775 2017 England\n",
- "3 2017-01-27 4 11996 2017 England\n",
- "4 2017-02-03 5 11736 2017 England"
- ]
- },
- "execution_count": 77,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "rd = rdew.loc[:, ['Week ended','Week number']]\n",
- "rd['deaths'] = rdew['Total deaths, all ages'] - rdew['W92000004']\n",
- "rd = rd.rename(\n",
- " columns={'Week ended': 'date_up_to', 'Week number': 'week'}\n",
- " )\n",
- "rd['year'] = 2017\n",
- "rd['nation'] = 'England'\n",
- "rd.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 78,
- "metadata": {},
- "outputs": [],
- "source": [
- "rd.to_sql(\n",
- " 'all_causes_deaths',\n",
- " conn,\n",
- " if_exists='append',\n",
- " index=False)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 79,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "20 rows affected.\n"
- ]
- },
- {
- "data": {
- "text/html": [
- "<table>\n",
- " <thead>\n",
- " <tr>\n",
- " <th>year</th>\n",
- " <th>nation</th>\n",
- " <th>count</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <td>2017</td>\n",
- " <td>England</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2018</td>\n",
- " <td>England</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2019</td>\n",
- " <td>England</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020</td>\n",
- " <td>England</td>\n",
- " <td>53</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2015</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>53</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2016</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2017</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2018</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2019</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>53</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2015</td>\n",
- " <td>Scotland</td>\n",
- " <td>53</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2016</td>\n",
- " <td>Scotland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2017</td>\n",
- " <td>Scotland</td>\n",
- " <td>52</td>\n",
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- " <tr>\n",
- " <td>2018</td>\n",
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- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2019</td>\n",
- " <td>Scotland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020</td>\n",
- " <td>Scotland</td>\n",
- " <td>53</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2017</td>\n",
- " <td>Wales</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2018</td>\n",
- " <td>Wales</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2019</td>\n",
- " <td>Wales</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020</td>\n",
- " <td>Wales</td>\n",
- " <td>53</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>"
- ],
- "text/plain": [
- "[(2017, 'England', 52),\n",
- " (2018, 'England', 52),\n",
- " (2019, 'England', 52),\n",
- " (2020, 'England', 53),\n",
- " (2015, 'Northern Ireland', 53),\n",
- " (2016, 'Northern Ireland', 52),\n",
- " (2017, 'Northern Ireland', 52),\n",
- " (2018, 'Northern Ireland', 52),\n",
- " (2019, 'Northern Ireland', 52),\n",
- " (2020, 'Northern Ireland', 53),\n",
- " (2015, 'Scotland', 53),\n",
- " (2016, 'Scotland', 52),\n",
- " (2017, 'Scotland', 52),\n",
- " (2018, 'Scotland', 52),\n",
- " (2019, 'Scotland', 52),\n",
- " (2020, 'Scotland', 53),\n",
- " (2017, 'Wales', 52),\n",
- " (2018, 'Wales', 52),\n",
- " (2019, 'Wales', 52),\n",
- " (2020, 'Wales', 53)]"
- ]
- },
- "execution_count": 79,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "%sql select year, nation, count(date_up_to) from all_causes_deaths group by (year, nation) order by nation, year"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": 80,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "raw_data_2016 = pd.read_csv('uk-deaths-data/publishedweek522016.csv', \n",
- " parse_dates=[1], dayfirst=True,\n",
- "# index_col=0,\n",
- " header=[0, 1])\n",
- "# raw_data_2016.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 81,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
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- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr>\n",
- " <th></th>\n",
- " <th>Week number</th>\n",
- " <th>Week ended</th>\n",
- " <th>Total deaths, all ages</th>\n",
- " <th>Total deaths: average of corresponding</th>\n",
- " <th>Unnamed: 4_level_0</th>\n",
- " <th>Unnamed: 5_level_0</th>\n",
- " <th>Persons</th>\n",
- " <th>Unnamed: 7_level_0</th>\n",
- " <th>Unnamed: 8_level_0</th>\n",
- " <th>Unnamed: 9_level_0</th>\n",
- " <th>...</th>\n",
- " <th>E12000001</th>\n",
- " <th>E12000002</th>\n",
- " <th>E12000003</th>\n",
- " <th>E12000004</th>\n",
- " <th>E12000005</th>\n",
- " <th>E12000006</th>\n",
- " <th>E12000007</th>\n",
- " <th>E12000008</th>\n",
- " <th>E12000009</th>\n",
- " <th>W92000004</th>\n",
- " </tr>\n",
- " <tr>\n",
- " <th></th>\n",
- " <th>Unnamed: 0_level_1</th>\n",
- " <th>Unnamed: 1_level_1</th>\n",
- " <th>Unnamed: 2_level_1</th>\n",
- " <th>Unnamed: 3_level_1</th>\n",
- " <th>Deaths by underlying cause</th>\n",
- " <th>All respiratory diseases (ICD-10 J00-J99)\\nICD-10 v 2013 (IRIS)</th>\n",
- " <th>Deaths by age group</th>\n",
- " <th>Under 1 year</th>\n",
- " <th>01-14</th>\n",
- " <th>15-44</th>\n",
- " <th>...</th>\n",
- " <th>North East</th>\n",
- " <th>North West</th>\n",
- " <th>Yorkshire and The Humber</th>\n",
- " <th>East Midlands</th>\n",
- " <th>West Midlands</th>\n",
- " <th>East</th>\n",
- " <th>London</th>\n",
- " <th>South East</th>\n",
- " <th>South West</th>\n",
- " <th>Wales</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>0</th>\n",
- " <td>1</td>\n",
- " <td>2016-01-08</td>\n",
- " <td>13045</td>\n",
- " <td>11701.4</td>\n",
- " <td>NaN</td>\n",
- " <td>2046</td>\n",
- " <td>NaN</td>\n",
- " <td>49</td>\n",
- " <td>17</td>\n",
- " <td>299</td>\n",
- " <td>...</td>\n",
- " <td>705</td>\n",
- " <td>1748</td>\n",
- " <td>1284</td>\n",
- " <td>1067</td>\n",
- " <td>1396</td>\n",
- " <td>1401</td>\n",
- " <td>1226</td>\n",
- " <td>1951</td>\n",
- " <td>1424</td>\n",
- " <td>809</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>2</td>\n",
- " <td>2016-01-15</td>\n",
- " <td>11501</td>\n",
- " <td>13016.4</td>\n",
- " <td>NaN</td>\n",
- " <td>1835</td>\n",
- " <td>NaN</td>\n",
- " <td>64</td>\n",
- " <td>24</td>\n",
- " <td>326</td>\n",
- " <td>...</td>\n",
- " <td>600</td>\n",
- " <td>1532</td>\n",
- " <td>1148</td>\n",
- " <td>956</td>\n",
- " <td>1208</td>\n",
- " <td>1237</td>\n",
- " <td>1048</td>\n",
- " <td>1771</td>\n",
- " <td>1263</td>\n",
- " <td>711</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>3</td>\n",
- " <td>2016-01-22</td>\n",
- " <td>11473</td>\n",
- " <td>11765.4</td>\n",
- " <td>NaN</td>\n",
- " <td>1775</td>\n",
- " <td>NaN</td>\n",
- " <td>50</td>\n",
- " <td>18</td>\n",
- " <td>345</td>\n",
- " <td>...</td>\n",
- " <td>612</td>\n",
- " <td>1602</td>\n",
- " <td>1119</td>\n",
- " <td>929</td>\n",
- " <td>1209</td>\n",
- " <td>1253</td>\n",
- " <td>1068</td>\n",
- " <td>1710</td>\n",
- " <td>1219</td>\n",
- " <td>720</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>4</td>\n",
- " <td>2016-01-29</td>\n",
- " <td>11317</td>\n",
- " <td>11289.0</td>\n",
- " <td>NaN</td>\n",
- " <td>1810</td>\n",
- " <td>NaN</td>\n",
- " <td>47</td>\n",
- " <td>14</td>\n",
- " <td>324</td>\n",
- " <td>...</td>\n",
- " <td>631</td>\n",
- " <td>1516</td>\n",
- " <td>1131</td>\n",
- " <td>858</td>\n",
- " <td>1195</td>\n",
- " <td>1236</td>\n",
- " <td>1065</td>\n",
- " <td>1730</td>\n",
- " <td>1207</td>\n",
- " <td>717</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>5</td>\n",
- " <td>2016-02-05</td>\n",
- " <td>11052</td>\n",
- " <td>10965.6</td>\n",
- " <td>NaN</td>\n",
- " <td>1748</td>\n",
- " <td>NaN</td>\n",
- " <td>60</td>\n",
- " <td>22</td>\n",
- " <td>314</td>\n",
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- " <td>1459</td>\n",
- " <td>1109</td>\n",
- " <td>954</td>\n",
- " <td>1197</td>\n",
- " <td>1160</td>\n",
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- " <td>1604</td>\n",
- " <td>1169</td>\n",
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- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "<p>5 rows × 41 columns</p>\n",
- "</div>"
- ],
- "text/plain": [
- " Week number Week ended Total deaths, all ages \\\n",
- " Unnamed: 0_level_1 Unnamed: 1_level_1 Unnamed: 2_level_1 \n",
- "0 1 2016-01-08 13045 \n",
- "1 2 2016-01-15 11501 \n",
- "2 3 2016-01-22 11473 \n",
- "3 4 2016-01-29 11317 \n",
- "4 5 2016-02-05 11052 \n",
- "\n",
- " Total deaths: average of corresponding Unnamed: 4_level_0 \\\n",
- " Unnamed: 3_level_1 Deaths by underlying cause \n",
- "0 11701.4 NaN \n",
- "1 13016.4 NaN \n",
- "2 11765.4 NaN \n",
- "3 11289.0 NaN \n",
- "4 10965.6 NaN \n",
- "\n",
- " Unnamed: 5_level_0 \\\n",
- " All respiratory diseases (ICD-10 J00-J99)\\nICD-10 v 2013 (IRIS) \n",
- "0 2046 \n",
- "1 1835 \n",
- "2 1775 \n",
- "3 1810 \n",
- "4 1748 \n",
- "\n",
- " Persons Unnamed: 7_level_0 Unnamed: 8_level_0 \\\n",
- " Deaths by age group Under 1 year 01-14 \n",
- "0 NaN 49 17 \n",
- "1 NaN 64 24 \n",
- "2 NaN 50 18 \n",
- "3 NaN 47 14 \n",
- "4 NaN 60 22 \n",
- "\n",
- " Unnamed: 9_level_0 ... E12000001 E12000002 E12000003 \\\n",
- " 15-44 ... North East North West Yorkshire and The Humber \n",
- "0 299 ... 705 1748 1284 \n",
- "1 326 ... 600 1532 1148 \n",
- "2 345 ... 612 1602 1119 \n",
- "3 324 ... 631 1516 1131 \n",
- "4 314 ... 620 1459 1109 \n",
- "\n",
- " E12000004 E12000005 E12000006 E12000007 E12000008 E12000009 \\\n",
- " East Midlands West Midlands East London South East South West \n",
- "0 1067 1396 1401 1226 1951 1424 \n",
- "1 956 1208 1237 1048 1771 1263 \n",
- "2 929 1209 1253 1068 1710 1219 \n",
- "3 858 1195 1236 1065 1730 1207 \n",
- "4 954 1197 1160 1059 1604 1169 \n",
- "\n",
- " W92000004 \n",
- " Wales \n",
- "0 809 \n",
- "1 711 \n",
- "2 720 \n",
- "3 717 \n",
- "4 690 \n",
- "\n",
- "[5 rows x 41 columns]"
- ]
- },
- "execution_count": 81,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "raw_data_2016.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 82,
- "metadata": {},
- "outputs": [
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- "data": {
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- " <th>Total deaths, all ages</th>\n",
- " <th>W92000004</th>\n",
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- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
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- " <tr>\n",
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- " <tr>\n",
- " <th>2</th>\n",
- " <td>3</td>\n",
- " <td>2016-01-22</td>\n",
- " <td>11473</td>\n",
- " <td>720</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>4</td>\n",
- " <td>2016-01-29</td>\n",
- " <td>11317</td>\n",
- " <td>717</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>5</td>\n",
- " <td>2016-02-05</td>\n",
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- ],
- "text/plain": [
- " Week number Week ended Total deaths, all ages W92000004\n",
- "0 1 2016-01-08 13045 809\n",
- "1 2 2016-01-15 11501 711\n",
- "2 3 2016-01-22 11473 720\n",
- "3 4 2016-01-29 11317 717\n",
- "4 5 2016-02-05 11052 690"
- ]
- },
- "execution_count": 82,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "rdew = raw_data_2016.iloc[:, [0, 1, 2, -1]].droplevel(axis=1, level=1)\n",
- "rdew.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 83,
- "metadata": {},
- "outputs": [
- {
- "data": {
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- " <th>date_up_to</th>\n",
- " <th>deaths</th>\n",
- " <th>year</th>\n",
- " <th>nation</th>\n",
- " </tr>\n",
- " </thead>\n",
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- " <tr>\n",
- " <th>2</th>\n",
- " <td>3</td>\n",
- " <td>2016-01-22</td>\n",
- " <td>720</td>\n",
- " <td>2016</td>\n",
- " <td>Wales</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>4</td>\n",
- " <td>2016-01-29</td>\n",
- " <td>717</td>\n",
- " <td>2016</td>\n",
- " <td>Wales</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>5</td>\n",
- " <td>2016-02-05</td>\n",
- " <td>690</td>\n",
- " <td>2016</td>\n",
- " <td>Wales</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " week date_up_to deaths year nation\n",
- "0 1 2016-01-08 809 2016 Wales\n",
- "1 2 2016-01-15 711 2016 Wales\n",
- "2 3 2016-01-22 720 2016 Wales\n",
- "3 4 2016-01-29 717 2016 Wales\n",
- "4 5 2016-02-05 690 2016 Wales"
- ]
- },
- "execution_count": 83,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "rd = rdew.drop(columns=['Total deaths, all ages']).rename(\n",
- " columns={'Week ended': 'date_up_to', 'W92000004': 'deaths',\n",
- " 'Week number': 'week'}\n",
- " )\n",
- "rd['year'] = 2016\n",
- "rd['nation'] = 'Wales'\n",
- "rd.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 84,
- "metadata": {},
- "outputs": [],
- "source": [
- "rd.to_sql(\n",
- " 'all_causes_deaths',\n",
- " conn,\n",
- " if_exists='append',\n",
- " index=False)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 85,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
- " .dataframe tbody tr th:only-of-type {\n",
- " vertical-align: middle;\n",
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- " }\n",
- "\n",
- " .dataframe thead th {\n",
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- " }\n",
- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>date_up_to</th>\n",
- " <th>week</th>\n",
- " <th>deaths</th>\n",
- " <th>year</th>\n",
- " <th>nation</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>0</th>\n",
- " <td>2016-01-08</td>\n",
- " <td>1</td>\n",
- " <td>12236</td>\n",
- " <td>2016</td>\n",
- " <td>England</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>2016-01-15</td>\n",
- " <td>2</td>\n",
- " <td>10790</td>\n",
- " <td>2016</td>\n",
- " <td>England</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>2016-01-22</td>\n",
- " <td>3</td>\n",
- " <td>10753</td>\n",
- " <td>2016</td>\n",
- " <td>England</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>2016-01-29</td>\n",
- " <td>4</td>\n",
- " <td>10600</td>\n",
- " <td>2016</td>\n",
- " <td>England</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>2016-02-05</td>\n",
- " <td>5</td>\n",
- " <td>10362</td>\n",
- " <td>2016</td>\n",
- " <td>England</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " date_up_to week deaths year nation\n",
- "0 2016-01-08 1 12236 2016 England\n",
- "1 2016-01-15 2 10790 2016 England\n",
- "2 2016-01-22 3 10753 2016 England\n",
- "3 2016-01-29 4 10600 2016 England\n",
- "4 2016-02-05 5 10362 2016 England"
- ]
- },
- "execution_count": 85,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "rd = rdew.loc[:, ['Week ended','Week number']]\n",
- "rd['deaths'] = rdew['Total deaths, all ages'] - rdew['W92000004']\n",
- "rd = rd.rename(\n",
- " columns={'Week ended': 'date_up_to', 'Week number': 'week'}\n",
- " )\n",
- "rd['year'] = 2016\n",
- "rd['nation'] = 'England'\n",
- "rd.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 86,
- "metadata": {},
- "outputs": [],
- "source": [
- "rd.to_sql(\n",
- " 'all_causes_deaths',\n",
- " conn,\n",
- " if_exists='append',\n",
- " index=False)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 87,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "22 rows affected.\n"
- ]
- },
- {
- "data": {
- "text/html": [
- "<table>\n",
- " <thead>\n",
- " <tr>\n",
- " <th>year</th>\n",
- " <th>nation</th>\n",
- " <th>count</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <td>2016</td>\n",
- " <td>England</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2017</td>\n",
- " <td>England</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2018</td>\n",
- " <td>England</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2019</td>\n",
- " <td>England</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020</td>\n",
- " <td>England</td>\n",
- " <td>53</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2015</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>53</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2016</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2017</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2018</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>52</td>\n",
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- " <td>2019</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>53</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2015</td>\n",
- " <td>Scotland</td>\n",
- " <td>53</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2016</td>\n",
- " <td>Scotland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2017</td>\n",
- " <td>Scotland</td>\n",
- " <td>52</td>\n",
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- " <tr>\n",
- " <td>2018</td>\n",
- " <td>Scotland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2019</td>\n",
- " <td>Scotland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020</td>\n",
- " <td>Scotland</td>\n",
- " <td>53</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2016</td>\n",
- " <td>Wales</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2017</td>\n",
- " <td>Wales</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2018</td>\n",
- " <td>Wales</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2019</td>\n",
- " <td>Wales</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020</td>\n",
- " <td>Wales</td>\n",
- " <td>53</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>"
- ],
- "text/plain": [
- "[(2016, 'England', 52),\n",
- " (2017, 'England', 52),\n",
- " (2018, 'England', 52),\n",
- " (2019, 'England', 52),\n",
- " (2020, 'England', 53),\n",
- " (2015, 'Northern Ireland', 53),\n",
- " (2016, 'Northern Ireland', 52),\n",
- " (2017, 'Northern Ireland', 52),\n",
- " (2018, 'Northern Ireland', 52),\n",
- " (2019, 'Northern Ireland', 52),\n",
- " (2020, 'Northern Ireland', 53),\n",
- " (2015, 'Scotland', 53),\n",
- " (2016, 'Scotland', 52),\n",
- " (2017, 'Scotland', 52),\n",
- " (2018, 'Scotland', 52),\n",
- " (2019, 'Scotland', 52),\n",
- " (2020, 'Scotland', 53),\n",
- " (2016, 'Wales', 52),\n",
- " (2017, 'Wales', 52),\n",
- " (2018, 'Wales', 52),\n",
- " (2019, 'Wales', 52),\n",
- " (2020, 'Wales', 53)]"
- ]
- },
- "execution_count": 87,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- " %sql select year, nation, count(date_up_to) from all_causes_deaths group by (year, nation) order by nation, year"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 88,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "raw_data_2015 = pd.read_csv('uk-deaths-data/publishedweek2015.csv', \n",
- " parse_dates=[1], dayfirst=True,\n",
- "# index_col=0,\n",
- " header=[0, 1])\n",
- "# raw_data_2015.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 89,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
- " .dataframe tbody tr th:only-of-type {\n",
- " vertical-align: middle;\n",
- " }\n",
- "\n",
- " .dataframe tbody tr th {\n",
- " vertical-align: top;\n",
- " }\n",
- "\n",
- " .dataframe thead th {\n",
- " text-align: right;\n",
- " }\n",
- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>Week number</th>\n",
- " <th>Week ended</th>\n",
- " <th>Total deaths, all ages</th>\n",
- " <th>W92000004</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>0</th>\n",
- " <td>1</td>\n",
- " <td>2015-01-02</td>\n",
- " <td>12286</td>\n",
- " <td>725</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>2</td>\n",
- " <td>2015-01-09</td>\n",
- " <td>16237</td>\n",
- " <td>1031</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>3</td>\n",
- " <td>2015-01-16</td>\n",
- " <td>14866</td>\n",
- " <td>936</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>4</td>\n",
- " <td>2015-01-23</td>\n",
- " <td>13934</td>\n",
- " <td>828</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>5</td>\n",
- " <td>2015-01-30</td>\n",
- " <td>12900</td>\n",
- " <td>801</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " Week number Week ended Total deaths, all ages W92000004\n",
- "0 1 2015-01-02 12286 725\n",
- "1 2 2015-01-09 16237 1031\n",
- "2 3 2015-01-16 14866 936\n",
- "3 4 2015-01-23 13934 828\n",
- "4 5 2015-01-30 12900 801"
- ]
- },
- "execution_count": 89,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "rdew = raw_data_2015.iloc[:, [0, 1, 2, -1]].droplevel(axis=1, level=1)\n",
- "rdew.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 90,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
- " .dataframe tbody tr th:only-of-type {\n",
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- "\n",
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- "</style>\n",
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- " <th></th>\n",
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- " <th>date_up_to</th>\n",
- " <th>deaths</th>\n",
- " <th>year</th>\n",
- " <th>nation</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>0</th>\n",
- " <td>1</td>\n",
- " <td>2015-01-02</td>\n",
- " <td>725</td>\n",
- " <td>2015</td>\n",
- " <td>Wales</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>2</td>\n",
- " <td>2015-01-09</td>\n",
- " <td>1031</td>\n",
- " <td>2015</td>\n",
- " <td>Wales</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>3</td>\n",
- " <td>2015-01-16</td>\n",
- " <td>936</td>\n",
- " <td>2015</td>\n",
- " <td>Wales</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>4</td>\n",
- " <td>2015-01-23</td>\n",
- " <td>828</td>\n",
- " <td>2015</td>\n",
- " <td>Wales</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>5</td>\n",
- " <td>2015-01-30</td>\n",
- " <td>801</td>\n",
- " <td>2015</td>\n",
- " <td>Wales</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " week date_up_to deaths year nation\n",
- "0 1 2015-01-02 725 2015 Wales\n",
- "1 2 2015-01-09 1031 2015 Wales\n",
- "2 3 2015-01-16 936 2015 Wales\n",
- "3 4 2015-01-23 828 2015 Wales\n",
- "4 5 2015-01-30 801 2015 Wales"
- ]
- },
- "execution_count": 90,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "rd = rdew.drop(columns=['Total deaths, all ages']).rename(\n",
- " columns={'Week ended': 'date_up_to', 'W92000004': 'deaths',\n",
- " 'Week number': 'week'}\n",
- " )\n",
- "rd['year'] = 2015\n",
- "rd['nation'] = 'Wales'\n",
- "rd.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 91,
- "metadata": {},
- "outputs": [],
- "source": [
- "rd.to_sql(\n",
- " 'all_causes_deaths',\n",
- " conn,\n",
- " if_exists='append',\n",
- " index=False)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 92,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
- " .dataframe tbody tr th:only-of-type {\n",
- " vertical-align: middle;\n",
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- " .dataframe tbody tr th {\n",
- " vertical-align: top;\n",
- " }\n",
- "\n",
- " .dataframe thead th {\n",
- " text-align: right;\n",
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- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
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- " <th></th>\n",
- " <th>date_up_to</th>\n",
- " <th>week</th>\n",
- " <th>deaths</th>\n",
- " <th>year</th>\n",
- " <th>nation</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>0</th>\n",
- " <td>2015-01-02</td>\n",
- " <td>1</td>\n",
- " <td>11561</td>\n",
- " <td>2015</td>\n",
- " <td>England</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>2015-01-09</td>\n",
- " <td>2</td>\n",
- " <td>15206</td>\n",
- " <td>2015</td>\n",
- " <td>England</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>2015-01-16</td>\n",
- " <td>3</td>\n",
- " <td>13930</td>\n",
- " <td>2015</td>\n",
- " <td>England</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>2015-01-23</td>\n",
- " <td>4</td>\n",
- " <td>13106</td>\n",
- " <td>2015</td>\n",
- " <td>England</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>2015-01-30</td>\n",
- " <td>5</td>\n",
- " <td>12099</td>\n",
- " <td>2015</td>\n",
- " <td>England</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " date_up_to week deaths year nation\n",
- "0 2015-01-02 1 11561 2015 England\n",
- "1 2015-01-09 2 15206 2015 England\n",
- "2 2015-01-16 3 13930 2015 England\n",
- "3 2015-01-23 4 13106 2015 England\n",
- "4 2015-01-30 5 12099 2015 England"
- ]
- },
- "execution_count": 92,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "rd = rdew.loc[:, ['Week ended','Week number']]\n",
- "rd['deaths'] = rdew['Total deaths, all ages'] - rdew['W92000004']\n",
- "rd = rd.rename(\n",
- " columns={'Week ended': 'date_up_to', 'Week number': 'week'}\n",
- " )\n",
- "rd['year'] = 2015\n",
- "rd['nation'] = 'England'\n",
- "rd.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 93,
- "metadata": {},
- "outputs": [],
- "source": [
- "rd.to_sql(\n",
- " 'all_causes_deaths',\n",
- " conn,\n",
- " if_exists='append',\n",
- " index=False)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 94,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "24 rows affected.\n"
- ]
- },
- {
- "data": {
- "text/html": [
- "<table>\n",
- " <thead>\n",
- " <tr>\n",
- " <th>year</th>\n",
- " <th>nation</th>\n",
- " <th>count</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <td>2015</td>\n",
- " <td>England</td>\n",
- " <td>53</td>\n",
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- " <td>2015</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>53</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2015</td>\n",
- " <td>Scotland</td>\n",
- " <td>53</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2015</td>\n",
- " <td>Wales</td>\n",
- " <td>53</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2016</td>\n",
- " <td>England</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2016</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2016</td>\n",
- " <td>Scotland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2016</td>\n",
- " <td>Wales</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2017</td>\n",
- " <td>England</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2017</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2017</td>\n",
- " <td>Scotland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2017</td>\n",
- " <td>Wales</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2018</td>\n",
- " <td>England</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2018</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2018</td>\n",
- " <td>Scotland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2018</td>\n",
- " <td>Wales</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2019</td>\n",
- " <td>England</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2019</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2019</td>\n",
- " <td>Scotland</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2019</td>\n",
- " <td>Wales</td>\n",
- " <td>52</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020</td>\n",
- " <td>England</td>\n",
- " <td>53</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>53</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020</td>\n",
- " <td>Scotland</td>\n",
- " <td>53</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020</td>\n",
- " <td>Wales</td>\n",
- " <td>53</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>"
- ],
- "text/plain": [
- "[(2015, 'England', 53),\n",
- " (2015, 'Northern Ireland', 53),\n",
- " (2015, 'Scotland', 53),\n",
- " (2015, 'Wales', 53),\n",
- " (2016, 'England', 52),\n",
- " (2016, 'Northern Ireland', 52),\n",
- " (2016, 'Scotland', 52),\n",
- " (2016, 'Wales', 52),\n",
- " (2017, 'England', 52),\n",
- " (2017, 'Northern Ireland', 52),\n",
- " (2017, 'Scotland', 52),\n",
- " (2017, 'Wales', 52),\n",
- " (2018, 'England', 52),\n",
- " (2018, 'Northern Ireland', 52),\n",
- " (2018, 'Scotland', 52),\n",
- " (2018, 'Wales', 52),\n",
- " (2019, 'England', 52),\n",
- " (2019, 'Northern Ireland', 52),\n",
- " (2019, 'Scotland', 52),\n",
- " (2019, 'Wales', 52),\n",
- " (2020, 'England', 53),\n",
- " (2020, 'Northern Ireland', 53),\n",
- " (2020, 'Scotland', 53),\n",
- " (2020, 'Wales', 53)]"
- ]
- },
- "execution_count": 94,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "%sql select year, nation, count(date_up_to) from all_causes_deaths group by (year, nation) order by year, nation"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 95,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "314 rows affected.\n",
- "Returning data to local variable res\n"
- ]
- }
- ],
- "source": [
- "%%sql res << select week, year, deaths\n",
- "from all_causes_deaths\n",
- "where nation = 'England'"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 96,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
- " .dataframe tbody tr th:only-of-type {\n",
- " vertical-align: middle;\n",
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- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th>year</th>\n",
- " <th>2015</th>\n",
- " <th>2016</th>\n",
- " <th>2017</th>\n",
- " <th>2018</th>\n",
- " <th>2019</th>\n",
- " <th>2020</th>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>week</th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>11561.0</td>\n",
- " <td>12236.0</td>\n",
- " <td>11247.0</td>\n",
- " <td>11940.0</td>\n",
- " <td>10237.0</td>\n",
- " <td>11467.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>15206.0</td>\n",
- " <td>10790.0</td>\n",
- " <td>12890.0</td>\n",
- " <td>14146.0</td>\n",
- " <td>11800.0</td>\n",
- " <td>13119.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>13930.0</td>\n",
- " <td>10753.0</td>\n",
- " <td>12775.0</td>\n",
- " <td>13371.0</td>\n",
- " <td>11177.0</td>\n",
- " <td>12223.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>13106.0</td>\n",
- " <td>10600.0</td>\n",
- " <td>11996.0</td>\n",
- " <td>13085.0</td>\n",
- " <td>11006.0</td>\n",
- " <td>11133.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>5</th>\n",
- " <td>12099.0</td>\n",
- " <td>10362.0</td>\n",
- " <td>11736.0</td>\n",
- " <td>12470.0</td>\n",
- " <td>10552.0</td>\n",
- " <td>10885.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>6</th>\n",
- " <td>11319.0</td>\n",
- " <td>10470.0</td>\n",
- " <td>11546.0</td>\n",
- " <td>11694.0</td>\n",
- " <td>10959.0</td>\n",
- " <td>10296.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>7</th>\n",
- " <td>11112.0</td>\n",
- " <td>9933.0</td>\n",
- " <td>10954.0</td>\n",
- " <td>11443.0</td>\n",
- " <td>11076.0</td>\n",
- " <td>10216.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>8</th>\n",
- " <td>10695.0</td>\n",
- " <td>10360.0</td>\n",
- " <td>11093.0</td>\n",
- " <td>11353.0</td>\n",
- " <td>10600.0</td>\n",
- " <td>10162.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>9</th>\n",
- " <td>10736.0</td>\n",
- " <td>10564.0</td>\n",
- " <td>10533.0</td>\n",
- " <td>10220.0</td>\n",
- " <td>10360.0</td>\n",
- " <td>10165.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>10</th>\n",
- " <td>10757.0</td>\n",
- " <td>10276.0</td>\n",
- " <td>10443.0</td>\n",
- " <td>12101.0</td>\n",
- " <td>10276.0</td>\n",
- " <td>10243.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>11</th>\n",
- " <td>10290.0</td>\n",
- " <td>10284.0</td>\n",
- " <td>10044.0</td>\n",
- " <td>11870.0</td>\n",
- " <td>9901.0</td>\n",
- " <td>10344.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>12</th>\n",
- " <td>9888.0</td>\n",
- " <td>8967.0</td>\n",
- " <td>9690.0</td>\n",
- " <td>11139.0</td>\n",
- " <td>9774.0</td>\n",
- " <td>9926.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>13</th>\n",
- " <td>9827.0</td>\n",
- " <td>9574.0</td>\n",
- " <td>9369.0</td>\n",
- " <td>9308.0</td>\n",
- " <td>9213.0</td>\n",
- " <td>10422.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>14</th>\n",
- " <td>8482.0</td>\n",
- " <td>10857.0</td>\n",
- " <td>9297.0</td>\n",
- " <td>10064.0</td>\n",
- " <td>9484.0</td>\n",
- " <td>15467.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>15</th>\n",
- " <td>9429.0</td>\n",
- " <td>10679.0</td>\n",
- " <td>7916.0</td>\n",
- " <td>11558.0</td>\n",
- " <td>9654.0</td>\n",
- " <td>17588.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>16</th>\n",
- " <td>10968.0</td>\n",
- " <td>10211.0</td>\n",
- " <td>8990.0</td>\n",
- " <td>10535.0</td>\n",
- " <td>8445.0</td>\n",
- " <td>21182.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>17</th>\n",
- " <td>9937.0</td>\n",
- " <td>9784.0</td>\n",
- " <td>10181.0</td>\n",
- " <td>9692.0</td>\n",
- " <td>9381.0</td>\n",
- " <td>20873.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>18</th>\n",
- " <td>9506.0</td>\n",
- " <td>8568.0</td>\n",
- " <td>8464.0</td>\n",
- " <td>9520.0</td>\n",
- " <td>10519.0</td>\n",
- " <td>17024.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>19</th>\n",
- " <td>8273.0</td>\n",
- " <td>9985.0</td>\n",
- " <td>10006.0</td>\n",
- " <td>8094.0</td>\n",
- " <td>8455.0</td>\n",
- " <td>11965.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>20</th>\n",
- " <td>9668.0</td>\n",
- " <td>9342.0</td>\n",
- " <td>9673.0</td>\n",
- " <td>9474.0</td>\n",
- " <td>9614.0</td>\n",
- " <td>13801.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>21</th>\n",
- " <td>9391.0</td>\n",
- " <td>9115.0</td>\n",
- " <td>9438.0</td>\n",
- " <td>9033.0</td>\n",
- " <td>9657.0</td>\n",
- " <td>11596.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>22</th>\n",
- " <td>7625.0</td>\n",
- " <td>7409.0</td>\n",
- " <td>7746.0</td>\n",
- " <td>7609.0</td>\n",
- " <td>7742.0</td>\n",
- " <td>9237.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>23</th>\n",
- " <td>9509.0</td>\n",
- " <td>9289.0</td>\n",
- " <td>9182.0</td>\n",
- " <td>9343.0</td>\n",
- " <td>9514.0</td>\n",
- " <td>10009.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>24</th>\n",
- " <td>8942.0</td>\n",
- " <td>8808.0</td>\n",
- " <td>8768.0</td>\n",
- " <td>8782.0</td>\n",
- " <td>8847.0</td>\n",
- " <td>9402.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>25</th>\n",
- " <td>8717.0</td>\n",
- " <td>8807.0</td>\n",
- " <td>9019.0</td>\n",
- " <td>8694.0</td>\n",
- " <td>8916.0</td>\n",
- " <td>8722.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>26</th>\n",
- " <td>8593.0</td>\n",
- " <td>8679.0</td>\n",
- " <td>8788.0</td>\n",
- " <td>8613.0</td>\n",
- " <td>8947.0</td>\n",
- " <td>8427.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>27</th>\n",
- " <td>8670.0</td>\n",
- " <td>8614.0</td>\n",
- " <td>8707.0</td>\n",
- " <td>8633.0</td>\n",
- " <td>8528.0</td>\n",
- " <td>8556.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>28</th>\n",
- " <td>8461.0</td>\n",
- " <td>8789.0</td>\n",
- " <td>8812.0</td>\n",
- " <td>8710.0</td>\n",
- " <td>8591.0</td>\n",
- " <td>8118.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>29</th>\n",
- " <td>8228.0</td>\n",
- " <td>8790.0</td>\n",
- " <td>8562.0</td>\n",
- " <td>8579.0</td>\n",
- " <td>8527.0</td>\n",
- " <td>8273.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>30</th>\n",
- " <td>8262.0</td>\n",
- " <td>8725.0</td>\n",
- " <td>8296.0</td>\n",
- " <td>8581.0</td>\n",
- " <td>8569.0</td>\n",
- " <td>8326.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>31</th>\n",
- " <td>8071.0</td>\n",
- " <td>8602.0</td>\n",
- " <td>8351.0</td>\n",
- " <td>8587.0</td>\n",
- " <td>8701.0</td>\n",
- " <td>8415.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>32</th>\n",
- " <td>8298.0</td>\n",
- " <td>8531.0</td>\n",
- " <td>8466.0</td>\n",
- " <td>8782.0</td>\n",
- " <td>8580.0</td>\n",
- " <td>8382.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>33</th>\n",
- " <td>8600.0</td>\n",
- " <td>8496.0</td>\n",
- " <td>8707.0</td>\n",
- " <td>8312.0</td>\n",
- " <td>8504.0</td>\n",
- " <td>8775.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>34</th>\n",
- " <td>8564.0</td>\n",
- " <td>8700.0</td>\n",
- " <td>8812.0</td>\n",
- " <td>8413.0</td>\n",
- " <td>8441.0</td>\n",
- " <td>9037.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>35</th>\n",
- " <td>8423.0</td>\n",
- " <td>7453.0</td>\n",
- " <td>7594.0</td>\n",
- " <td>7354.0</td>\n",
- " <td>7684.0</td>\n",
- " <td>8441.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>36</th>\n",
- " <td>7389.0</td>\n",
- " <td>8847.0</td>\n",
- " <td>8955.0</td>\n",
- " <td>8851.0</td>\n",
- " <td>9113.0</td>\n",
- " <td>7251.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>37</th>\n",
- " <td>8704.0</td>\n",
- " <td>8548.0</td>\n",
- " <td>8845.0</td>\n",
- " <td>8612.0</td>\n",
- " <td>8946.0</td>\n",
- " <td>9233.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>38</th>\n",
- " <td>8542.0</td>\n",
- " <td>8382.0</td>\n",
- " <td>8949.0</td>\n",
- " <td>8707.0</td>\n",
- " <td>8868.0</td>\n",
- " <td>8968.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>39</th>\n",
- " <td>8865.0</td>\n",
- " <td>8402.0</td>\n",
- " <td>9096.0</td>\n",
- " <td>8590.0</td>\n",
- " <td>8906.0</td>\n",
- " <td>9017.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>40</th>\n",
- " <td>8858.0</td>\n",
- " <td>8729.0</td>\n",
- " <td>9147.0</td>\n",
- " <td>8908.0</td>\n",
- " <td>9202.0</td>\n",
- " <td>9274.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>41</th>\n",
- " <td>9124.0</td>\n",
- " <td>9132.0</td>\n",
- " <td>9300.0</td>\n",
- " <td>9043.0</td>\n",
- " <td>9383.0</td>\n",
- " <td>9316.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>42</th>\n",
- " <td>8899.0</td>\n",
- " <td>9144.0</td>\n",
- " <td>9381.0</td>\n",
- " <td>9224.0</td>\n",
- " <td>9534.0</td>\n",
- " <td>9846.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>43</th>\n",
- " <td>9104.0</td>\n",
- " <td>9100.0</td>\n",
- " <td>9131.0</td>\n",
- " <td>8970.0</td>\n",
- " <td>9351.0</td>\n",
- " <td>10078.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>44</th>\n",
- " <td>9025.0</td>\n",
- " <td>9508.0</td>\n",
- " <td>9389.0</td>\n",
- " <td>8925.0</td>\n",
- " <td>9522.0</td>\n",
- " <td>10175.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>45</th>\n",
- " <td>9388.0</td>\n",
- " <td>9844.0</td>\n",
- " <td>9748.0</td>\n",
- " <td>9509.0</td>\n",
- " <td>10044.0</td>\n",
- " <td>10980.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>46</th>\n",
- " <td>9325.0</td>\n",
- " <td>10013.0</td>\n",
- " <td>9609.0</td>\n",
- " <td>9537.0</td>\n",
- " <td>9976.0</td>\n",
- " <td>11512.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>47</th>\n",
- " <td>9219.0</td>\n",
- " <td>9942.0</td>\n",
- " <td>9982.0</td>\n",
- " <td>9300.0</td>\n",
- " <td>10183.0</td>\n",
- " <td>11687.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>48</th>\n",
- " <td>9233.0</td>\n",
- " <td>9796.0</td>\n",
- " <td>9902.0</td>\n",
- " <td>9360.0</td>\n",
- " <td>10269.0</td>\n",
- " <td>11659.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>49</th>\n",
- " <td>9706.0</td>\n",
- " <td>10530.0</td>\n",
- " <td>10151.0</td>\n",
- " <td>9613.0</td>\n",
- " <td>10079.0</td>\n",
- " <td>11467.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>50</th>\n",
- " <td>9581.0</td>\n",
- " <td>9870.0</td>\n",
- " <td>10509.0</td>\n",
- " <td>9842.0</td>\n",
- " <td>10489.0</td>\n",
- " <td>11478.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>51</th>\n",
- " <td>10043.0</td>\n",
- " <td>10802.0</td>\n",
- " <td>11755.0</td>\n",
- " <td>10392.0</td>\n",
- " <td>11159.0</td>\n",
- " <td>12129.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>52</th>\n",
- " <td>8095.0</td>\n",
- " <td>7445.0</td>\n",
- " <td>7946.0</td>\n",
- " <td>6670.0</td>\n",
- " <td>7037.0</td>\n",
- " <td>10695.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>53</th>\n",
- " <td>7008.0</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9342.0</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- "year 2015 2016 2017 2018 2019 2020\n",
- "week \n",
- "1 11561.0 12236.0 11247.0 11940.0 10237.0 11467.0\n",
- "2 15206.0 10790.0 12890.0 14146.0 11800.0 13119.0\n",
- "3 13930.0 10753.0 12775.0 13371.0 11177.0 12223.0\n",
- "4 13106.0 10600.0 11996.0 13085.0 11006.0 11133.0\n",
- "5 12099.0 10362.0 11736.0 12470.0 10552.0 10885.0\n",
- "6 11319.0 10470.0 11546.0 11694.0 10959.0 10296.0\n",
- "7 11112.0 9933.0 10954.0 11443.0 11076.0 10216.0\n",
- "8 10695.0 10360.0 11093.0 11353.0 10600.0 10162.0\n",
- "9 10736.0 10564.0 10533.0 10220.0 10360.0 10165.0\n",
- "10 10757.0 10276.0 10443.0 12101.0 10276.0 10243.0\n",
- "11 10290.0 10284.0 10044.0 11870.0 9901.0 10344.0\n",
- "12 9888.0 8967.0 9690.0 11139.0 9774.0 9926.0\n",
- "13 9827.0 9574.0 9369.0 9308.0 9213.0 10422.0\n",
- "14 8482.0 10857.0 9297.0 10064.0 9484.0 15467.0\n",
- "15 9429.0 10679.0 7916.0 11558.0 9654.0 17588.0\n",
- "16 10968.0 10211.0 8990.0 10535.0 8445.0 21182.0\n",
- "17 9937.0 9784.0 10181.0 9692.0 9381.0 20873.0\n",
- "18 9506.0 8568.0 8464.0 9520.0 10519.0 17024.0\n",
- "19 8273.0 9985.0 10006.0 8094.0 8455.0 11965.0\n",
- "20 9668.0 9342.0 9673.0 9474.0 9614.0 13801.0\n",
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- "26 8593.0 8679.0 8788.0 8613.0 8947.0 8427.0\n",
- "27 8670.0 8614.0 8707.0 8633.0 8528.0 8556.0\n",
- "28 8461.0 8789.0 8812.0 8710.0 8591.0 8118.0\n",
- "29 8228.0 8790.0 8562.0 8579.0 8527.0 8273.0\n",
- "30 8262.0 8725.0 8296.0 8581.0 8569.0 8326.0\n",
- "31 8071.0 8602.0 8351.0 8587.0 8701.0 8415.0\n",
- "32 8298.0 8531.0 8466.0 8782.0 8580.0 8382.0\n",
- "33 8600.0 8496.0 8707.0 8312.0 8504.0 8775.0\n",
- "34 8564.0 8700.0 8812.0 8413.0 8441.0 9037.0\n",
- "35 8423.0 7453.0 7594.0 7354.0 7684.0 8441.0\n",
- "36 7389.0 8847.0 8955.0 8851.0 9113.0 7251.0\n",
- "37 8704.0 8548.0 8845.0 8612.0 8946.0 9233.0\n",
- "38 8542.0 8382.0 8949.0 8707.0 8868.0 8968.0\n",
- "39 8865.0 8402.0 9096.0 8590.0 8906.0 9017.0\n",
- "40 8858.0 8729.0 9147.0 8908.0 9202.0 9274.0\n",
- "41 9124.0 9132.0 9300.0 9043.0 9383.0 9316.0\n",
- "42 8899.0 9144.0 9381.0 9224.0 9534.0 9846.0\n",
- "43 9104.0 9100.0 9131.0 8970.0 9351.0 10078.0\n",
- "44 9025.0 9508.0 9389.0 8925.0 9522.0 10175.0\n",
- "45 9388.0 9844.0 9748.0 9509.0 10044.0 10980.0\n",
- "46 9325.0 10013.0 9609.0 9537.0 9976.0 11512.0\n",
- "47 9219.0 9942.0 9982.0 9300.0 10183.0 11687.0\n",
- "48 9233.0 9796.0 9902.0 9360.0 10269.0 11659.0\n",
- "49 9706.0 10530.0 10151.0 9613.0 10079.0 11467.0\n",
- "50 9581.0 9870.0 10509.0 9842.0 10489.0 11478.0\n",
- "51 10043.0 10802.0 11755.0 10392.0 11159.0 12129.0\n",
- "52 8095.0 7445.0 7946.0 6670.0 7037.0 10695.0\n",
- "53 7008.0 NaN NaN NaN NaN 9342.0"
- ]
- },
- "execution_count": 96,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "deaths_headlines_e = res.DataFrame().pivot(index='week', columns='year', values='deaths')\n",
- "deaths_headlines_e"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": 97,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "314 rows affected.\n",
- "Returning data to local variable res\n"
- ]
- }
- ],
- "source": [
- "%%sql res << select week, year, deaths\n",
- "from all_causes_deaths\n",
- "where nation = 'Scotland'"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 98,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
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- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th>year</th>\n",
- " <th>2015</th>\n",
- " <th>2016</th>\n",
- " <th>2017</th>\n",
- " <th>2018</th>\n",
- " <th>2019</th>\n",
- " <th>2020</th>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>week</th>\n",
- " <th></th>\n",
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- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
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- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>1146.0</td>\n",
- " <td>1394.0</td>\n",
- " <td>1205.0</td>\n",
- " <td>1531.0</td>\n",
- " <td>1104.0</td>\n",
- " <td>1161.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>1708.0</td>\n",
- " <td>1305.0</td>\n",
- " <td>1379.0</td>\n",
- " <td>1899.0</td>\n",
- " <td>1507.0</td>\n",
- " <td>1567.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>1489.0</td>\n",
- " <td>1215.0</td>\n",
- " <td>1224.0</td>\n",
- " <td>1629.0</td>\n",
- " <td>1353.0</td>\n",
- " <td>1322.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>1381.0</td>\n",
- " <td>1187.0</td>\n",
- " <td>1197.0</td>\n",
- " <td>1610.0</td>\n",
- " <td>1208.0</td>\n",
- " <td>1226.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>5</th>\n",
- " <td>1286.0</td>\n",
- " <td>1205.0</td>\n",
- " <td>1332.0</td>\n",
- " <td>1369.0</td>\n",
- " <td>1206.0</td>\n",
- " <td>1188.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>6</th>\n",
- " <td>1344.0</td>\n",
- " <td>1217.0</td>\n",
- " <td>1200.0</td>\n",
- " <td>1265.0</td>\n",
- " <td>1243.0</td>\n",
- " <td>1216.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>7</th>\n",
- " <td>1360.0</td>\n",
- " <td>1209.0</td>\n",
- " <td>1231.0</td>\n",
- " <td>1315.0</td>\n",
- " <td>1181.0</td>\n",
- " <td>1162.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>8</th>\n",
- " <td>1320.0</td>\n",
- " <td>1239.0</td>\n",
- " <td>1185.0</td>\n",
- " <td>1245.0</td>\n",
- " <td>1245.0</td>\n",
- " <td>1162.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>9</th>\n",
- " <td>1308.0</td>\n",
- " <td>1150.0</td>\n",
- " <td>1219.0</td>\n",
- " <td>1022.0</td>\n",
- " <td>1125.0</td>\n",
- " <td>1171.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>10</th>\n",
- " <td>1192.0</td>\n",
- " <td>1174.0</td>\n",
- " <td>1146.0</td>\n",
- " <td>1475.0</td>\n",
- " <td>1156.0</td>\n",
- " <td>1208.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>11</th>\n",
- " <td>1201.0</td>\n",
- " <td>1175.0</td>\n",
- " <td>1141.0</td>\n",
- " <td>1220.0</td>\n",
- " <td>1108.0</td>\n",
- " <td>1156.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>12</th>\n",
- " <td>1149.0</td>\n",
- " <td>1042.0</td>\n",
- " <td>1152.0</td>\n",
- " <td>1158.0</td>\n",
- " <td>1101.0</td>\n",
- " <td>1196.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>13</th>\n",
- " <td>1171.0</td>\n",
- " <td>1172.0</td>\n",
- " <td>1112.0</td>\n",
- " <td>1050.0</td>\n",
- " <td>1086.0</td>\n",
- " <td>1079.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>14</th>\n",
- " <td>1042.0</td>\n",
- " <td>1166.0</td>\n",
- " <td>1060.0</td>\n",
- " <td>1192.0</td>\n",
- " <td>1032.0</td>\n",
- " <td>1744.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>15</th>\n",
- " <td>1192.0</td>\n",
- " <td>1048.0</td>\n",
- " <td>998.0</td>\n",
- " <td>1192.0</td>\n",
- " <td>1069.0</td>\n",
- " <td>1978.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>16</th>\n",
- " <td>1095.0</td>\n",
- " <td>1092.0</td>\n",
- " <td>1111.0</td>\n",
- " <td>1136.0</td>\n",
- " <td>902.0</td>\n",
- " <td>1916.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>17</th>\n",
- " <td>1108.0</td>\n",
- " <td>1076.0</td>\n",
- " <td>1121.0</td>\n",
- " <td>1008.0</td>\n",
- " <td>1121.0</td>\n",
- " <td>1836.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>18</th>\n",
- " <td>1117.0</td>\n",
- " <td>1006.0</td>\n",
- " <td>1050.0</td>\n",
- " <td>1093.0</td>\n",
- " <td>1131.0</td>\n",
- " <td>1679.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>19</th>\n",
- " <td>1020.0</td>\n",
- " <td>1047.0</td>\n",
- " <td>1119.0</td>\n",
- " <td>967.0</td>\n",
- " <td>1018.0</td>\n",
- " <td>1435.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>20</th>\n",
- " <td>1103.0</td>\n",
- " <td>1010.0</td>\n",
- " <td>1115.0</td>\n",
- " <td>977.0</td>\n",
- " <td>1115.0</td>\n",
- " <td>1421.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>21</th>\n",
- " <td>1039.0</td>\n",
- " <td>994.0</td>\n",
- " <td>1063.0</td>\n",
- " <td>1070.0</td>\n",
- " <td>1061.0</td>\n",
- " <td>1226.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>22</th>\n",
- " <td>1043.0</td>\n",
- " <td>999.0</td>\n",
- " <td>1015.0</td>\n",
- " <td>998.0</td>\n",
- " <td>1029.0</td>\n",
- " <td>1125.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>23</th>\n",
- " <td>1106.0</td>\n",
- " <td>1023.0</td>\n",
- " <td>1076.0</td>\n",
- " <td>1033.0</td>\n",
- " <td>1042.0</td>\n",
- " <td>1093.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>24</th>\n",
- " <td>1038.0</td>\n",
- " <td>988.0</td>\n",
- " <td>1031.0</td>\n",
- " <td>915.0</td>\n",
- " <td>1028.0</td>\n",
- " <td>1034.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>25</th>\n",
- " <td>1025.0</td>\n",
- " <td>994.0</td>\n",
- " <td>1032.0</td>\n",
- " <td>993.0</td>\n",
- " <td>1053.0</td>\n",
- " <td>1065.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>26</th>\n",
- " <td>1032.0</td>\n",
- " <td>1007.0</td>\n",
- " <td>994.0</td>\n",
- " <td>1046.0</td>\n",
- " <td>1051.0</td>\n",
- " <td>1008.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>27</th>\n",
- " <td>1040.0</td>\n",
- " <td>988.0</td>\n",
- " <td>1040.0</td>\n",
- " <td>1041.0</td>\n",
- " <td>981.0</td>\n",
- " <td>983.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>28</th>\n",
- " <td>1011.0</td>\n",
- " <td>1022.0</td>\n",
- " <td>1014.0</td>\n",
- " <td>1002.0</td>\n",
- " <td>1077.0</td>\n",
- " <td>976.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>29</th>\n",
- " <td>1023.0</td>\n",
- " <td>1041.0</td>\n",
- " <td>1025.0</td>\n",
- " <td>928.0</td>\n",
- " <td>964.0</td>\n",
- " <td>1033.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>30</th>\n",
- " <td>956.0</td>\n",
- " <td>979.0</td>\n",
- " <td>978.0</td>\n",
- " <td>933.0</td>\n",
- " <td>1041.0</td>\n",
- " <td>961.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>31</th>\n",
- " <td>985.0</td>\n",
- " <td>987.0</td>\n",
- " <td>1011.0</td>\n",
- " <td>969.0</td>\n",
- " <td>1020.0</td>\n",
- " <td>1043.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>32</th>\n",
- " <td>1043.0</td>\n",
- " <td>997.0</td>\n",
- " <td>1002.0</td>\n",
- " <td>953.0</td>\n",
- " <td>1018.0</td>\n",
- " <td>1011.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>33</th>\n",
- " <td>969.0</td>\n",
- " <td>982.0</td>\n",
- " <td>1004.0</td>\n",
- " <td>978.0</td>\n",
- " <td>1028.0</td>\n",
- " <td>922.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>34</th>\n",
- " <td>982.0</td>\n",
- " <td>1017.0</td>\n",
- " <td>1045.0</td>\n",
- " <td>941.0</td>\n",
- " <td>1011.0</td>\n",
- " <td>1046.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>35</th>\n",
- " <td>954.0</td>\n",
- " <td>1039.0</td>\n",
- " <td>980.0</td>\n",
- " <td>930.0</td>\n",
- " <td>1013.0</td>\n",
- " <td>1029.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>36</th>\n",
- " <td>977.0</td>\n",
- " <td>1007.0</td>\n",
- " <td>1006.0</td>\n",
- " <td>970.0</td>\n",
- " <td>980.0</td>\n",
- " <td>1050.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>37</th>\n",
- " <td>991.0</td>\n",
- " <td>983.0</td>\n",
- " <td>972.0</td>\n",
- " <td>1020.0</td>\n",
- " <td>1074.0</td>\n",
- " <td>1069.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>38</th>\n",
- " <td>1001.0</td>\n",
- " <td>966.0</td>\n",
- " <td>1049.0</td>\n",
- " <td>946.0</td>\n",
- " <td>1071.0</td>\n",
- " <td>952.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>39</th>\n",
- " <td>1010.0</td>\n",
- " <td>1009.0</td>\n",
- " <td>1056.0</td>\n",
- " <td>1015.0</td>\n",
- " <td>1142.0</td>\n",
- " <td>933.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>40</th>\n",
- " <td>1008.0</td>\n",
- " <td>1072.0</td>\n",
- " <td>1016.0</td>\n",
- " <td>1042.0</td>\n",
- " <td>1051.0</td>\n",
- " <td>1195.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>41</th>\n",
- " <td>1028.0</td>\n",
- " <td>1009.0</td>\n",
- " <td>1133.0</td>\n",
- " <td>1081.0</td>\n",
- " <td>1143.0</td>\n",
- " <td>1071.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>42</th>\n",
- " <td>989.0</td>\n",
- " <td>1070.0</td>\n",
- " <td>1067.0</td>\n",
- " <td>1031.0</td>\n",
- " <td>1153.0</td>\n",
- " <td>1131.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>43</th>\n",
- " <td>981.0</td>\n",
- " <td>1052.0</td>\n",
- " <td>1095.0</td>\n",
- " <td>1019.0</td>\n",
- " <td>1115.0</td>\n",
- " <td>1187.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>44</th>\n",
- " <td>1116.0</td>\n",
- " <td>1032.0</td>\n",
- " <td>1062.0</td>\n",
- " <td>1085.0</td>\n",
- " <td>1101.0</td>\n",
- " <td>1262.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>45</th>\n",
- " <td>1028.0</td>\n",
- " <td>1043.0</td>\n",
- " <td>1126.0</td>\n",
- " <td>1144.0</td>\n",
- " <td>1184.0</td>\n",
- " <td>1250.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>46</th>\n",
- " <td>1103.0</td>\n",
- " <td>1174.0</td>\n",
- " <td>1175.0</td>\n",
- " <td>1084.0</td>\n",
- " <td>1160.0</td>\n",
- " <td>1138.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>47</th>\n",
- " <td>1054.0</td>\n",
- " <td>1132.0</td>\n",
- " <td>1178.0</td>\n",
- " <td>1058.0</td>\n",
- " <td>1229.0</td>\n",
- " <td>1360.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>48</th>\n",
- " <td>1115.0</td>\n",
- " <td>1159.0</td>\n",
- " <td>1153.0</td>\n",
- " <td>1062.0</td>\n",
- " <td>1163.0</td>\n",
- " <td>1328.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>49</th>\n",
- " <td>1089.0</td>\n",
- " <td>1188.0</td>\n",
- " <td>1237.0</td>\n",
- " <td>1076.0</td>\n",
- " <td>1108.0</td>\n",
- " <td>1296.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>50</th>\n",
- " <td>1101.0</td>\n",
- " <td>1219.0</td>\n",
- " <td>1335.0</td>\n",
- " <td>1212.0</td>\n",
- " <td>1312.0</td>\n",
- " <td>1284.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>51</th>\n",
- " <td>1146.0</td>\n",
- " <td>1284.0</td>\n",
- " <td>1437.0</td>\n",
- " <td>1216.0</td>\n",
- " <td>1277.0</td>\n",
- " <td>1297.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>52</th>\n",
- " <td>944.0</td>\n",
- " <td>1133.0</td>\n",
- " <td>1168.0</td>\n",
- " <td>1058.0</td>\n",
- " <td>1000.0</td>\n",
- " <td>1205.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>53</th>\n",
- " <td>1018.0</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>1178.0</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- "year 2015 2016 2017 2018 2019 2020\n",
- "week \n",
- "1 1146.0 1394.0 1205.0 1531.0 1104.0 1161.0\n",
- "2 1708.0 1305.0 1379.0 1899.0 1507.0 1567.0\n",
- "3 1489.0 1215.0 1224.0 1629.0 1353.0 1322.0\n",
- "4 1381.0 1187.0 1197.0 1610.0 1208.0 1226.0\n",
- "5 1286.0 1205.0 1332.0 1369.0 1206.0 1188.0\n",
- "6 1344.0 1217.0 1200.0 1265.0 1243.0 1216.0\n",
- "7 1360.0 1209.0 1231.0 1315.0 1181.0 1162.0\n",
- "8 1320.0 1239.0 1185.0 1245.0 1245.0 1162.0\n",
- "9 1308.0 1150.0 1219.0 1022.0 1125.0 1171.0\n",
- "10 1192.0 1174.0 1146.0 1475.0 1156.0 1208.0\n",
- "11 1201.0 1175.0 1141.0 1220.0 1108.0 1156.0\n",
- "12 1149.0 1042.0 1152.0 1158.0 1101.0 1196.0\n",
- "13 1171.0 1172.0 1112.0 1050.0 1086.0 1079.0\n",
- "14 1042.0 1166.0 1060.0 1192.0 1032.0 1744.0\n",
- "15 1192.0 1048.0 998.0 1192.0 1069.0 1978.0\n",
- "16 1095.0 1092.0 1111.0 1136.0 902.0 1916.0\n",
- "17 1108.0 1076.0 1121.0 1008.0 1121.0 1836.0\n",
- "18 1117.0 1006.0 1050.0 1093.0 1131.0 1679.0\n",
- "19 1020.0 1047.0 1119.0 967.0 1018.0 1435.0\n",
- "20 1103.0 1010.0 1115.0 977.0 1115.0 1421.0\n",
- "21 1039.0 994.0 1063.0 1070.0 1061.0 1226.0\n",
- "22 1043.0 999.0 1015.0 998.0 1029.0 1125.0\n",
- "23 1106.0 1023.0 1076.0 1033.0 1042.0 1093.0\n",
- "24 1038.0 988.0 1031.0 915.0 1028.0 1034.0\n",
- "25 1025.0 994.0 1032.0 993.0 1053.0 1065.0\n",
- "26 1032.0 1007.0 994.0 1046.0 1051.0 1008.0\n",
- "27 1040.0 988.0 1040.0 1041.0 981.0 983.0\n",
- "28 1011.0 1022.0 1014.0 1002.0 1077.0 976.0\n",
- "29 1023.0 1041.0 1025.0 928.0 964.0 1033.0\n",
- "30 956.0 979.0 978.0 933.0 1041.0 961.0\n",
- "31 985.0 987.0 1011.0 969.0 1020.0 1043.0\n",
- "32 1043.0 997.0 1002.0 953.0 1018.0 1011.0\n",
- "33 969.0 982.0 1004.0 978.0 1028.0 922.0\n",
- "34 982.0 1017.0 1045.0 941.0 1011.0 1046.0\n",
- "35 954.0 1039.0 980.0 930.0 1013.0 1029.0\n",
- "36 977.0 1007.0 1006.0 970.0 980.0 1050.0\n",
- "37 991.0 983.0 972.0 1020.0 1074.0 1069.0\n",
- "38 1001.0 966.0 1049.0 946.0 1071.0 952.0\n",
- "39 1010.0 1009.0 1056.0 1015.0 1142.0 933.0\n",
- "40 1008.0 1072.0 1016.0 1042.0 1051.0 1195.0\n",
- "41 1028.0 1009.0 1133.0 1081.0 1143.0 1071.0\n",
- "42 989.0 1070.0 1067.0 1031.0 1153.0 1131.0\n",
- "43 981.0 1052.0 1095.0 1019.0 1115.0 1187.0\n",
- "44 1116.0 1032.0 1062.0 1085.0 1101.0 1262.0\n",
- "45 1028.0 1043.0 1126.0 1144.0 1184.0 1250.0\n",
- "46 1103.0 1174.0 1175.0 1084.0 1160.0 1138.0\n",
- "47 1054.0 1132.0 1178.0 1058.0 1229.0 1360.0\n",
- "48 1115.0 1159.0 1153.0 1062.0 1163.0 1328.0\n",
- "49 1089.0 1188.0 1237.0 1076.0 1108.0 1296.0\n",
- "50 1101.0 1219.0 1335.0 1212.0 1312.0 1284.0\n",
- "51 1146.0 1284.0 1437.0 1216.0 1277.0 1297.0\n",
- "52 944.0 1133.0 1168.0 1058.0 1000.0 1205.0\n",
- "53 1018.0 NaN NaN NaN NaN 1178.0"
- ]
- },
- "execution_count": 98,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "deaths_headlines_s = res.DataFrame().pivot(index='week', columns='year', values='deaths')\n",
- "deaths_headlines_s"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 99,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "314 rows affected.\n",
- "Returning data to local variable res\n"
- ]
- }
- ],
- "source": [
- "%%sql res << select week, year, deaths\n",
- "from all_causes_deaths\n",
- "where nation = 'Wales'"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 100,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
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- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th>year</th>\n",
- " <th>2015</th>\n",
- " <th>2016</th>\n",
- " <th>2017</th>\n",
- " <th>2018</th>\n",
- " <th>2019</th>\n",
- " <th>2020</th>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>week</th>\n",
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- " <th></th>\n",
- " <th></th>\n",
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- " <tbody>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>725.0</td>\n",
- " <td>809.0</td>\n",
- " <td>744.0</td>\n",
- " <td>783.0</td>\n",
- " <td>718.0</td>\n",
- " <td>787.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>1031.0</td>\n",
- " <td>711.0</td>\n",
- " <td>825.0</td>\n",
- " <td>904.0</td>\n",
- " <td>809.0</td>\n",
- " <td>939.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>936.0</td>\n",
- " <td>720.0</td>\n",
- " <td>835.0</td>\n",
- " <td>885.0</td>\n",
- " <td>683.0</td>\n",
- " <td>767.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>828.0</td>\n",
- " <td>717.0</td>\n",
- " <td>881.0</td>\n",
- " <td>850.0</td>\n",
- " <td>734.0</td>\n",
- " <td>723.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>5</th>\n",
- " <td>801.0</td>\n",
- " <td>690.0</td>\n",
- " <td>749.0</td>\n",
- " <td>815.0</td>\n",
- " <td>745.0</td>\n",
- " <td>727.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>6</th>\n",
- " <td>720.0</td>\n",
- " <td>700.0</td>\n",
- " <td>723.0</td>\n",
- " <td>801.0</td>\n",
- " <td>701.0</td>\n",
- " <td>690.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>7</th>\n",
- " <td>710.0</td>\n",
- " <td>657.0</td>\n",
- " <td>690.0</td>\n",
- " <td>803.0</td>\n",
- " <td>748.0</td>\n",
- " <td>728.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>8</th>\n",
- " <td>739.0</td>\n",
- " <td>696.0</td>\n",
- " <td>701.0</td>\n",
- " <td>789.0</td>\n",
- " <td>695.0</td>\n",
- " <td>679.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>9</th>\n",
- " <td>736.0</td>\n",
- " <td>721.0</td>\n",
- " <td>715.0</td>\n",
- " <td>634.0</td>\n",
- " <td>684.0</td>\n",
- " <td>651.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>10</th>\n",
- " <td>712.0</td>\n",
- " <td>734.0</td>\n",
- " <td>634.0</td>\n",
- " <td>896.0</td>\n",
- " <td>622.0</td>\n",
- " <td>652.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>11</th>\n",
- " <td>661.0</td>\n",
- " <td>738.0</td>\n",
- " <td>653.0</td>\n",
- " <td>918.0</td>\n",
- " <td>666.0</td>\n",
- " <td>675.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>12</th>\n",
- " <td>680.0</td>\n",
- " <td>668.0</td>\n",
- " <td>635.0</td>\n",
- " <td>774.0</td>\n",
- " <td>628.0</td>\n",
- " <td>719.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>13</th>\n",
- " <td>666.0</td>\n",
- " <td>712.0</td>\n",
- " <td>658.0</td>\n",
- " <td>633.0</td>\n",
- " <td>654.0</td>\n",
- " <td>719.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>14</th>\n",
- " <td>580.0</td>\n",
- " <td>742.0</td>\n",
- " <td>642.0</td>\n",
- " <td>730.0</td>\n",
- " <td>642.0</td>\n",
- " <td>920.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>15</th>\n",
- " <td>660.0</td>\n",
- " <td>738.0</td>\n",
- " <td>577.0</td>\n",
- " <td>743.0</td>\n",
- " <td>637.0</td>\n",
- " <td>928.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>16</th>\n",
- " <td>671.0</td>\n",
- " <td>714.0</td>\n",
- " <td>654.0</td>\n",
- " <td>688.0</td>\n",
- " <td>580.0</td>\n",
- " <td>1169.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>17</th>\n",
- " <td>662.0</td>\n",
- " <td>629.0</td>\n",
- " <td>727.0</td>\n",
- " <td>614.0</td>\n",
- " <td>678.0</td>\n",
- " <td>1124.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>18</th>\n",
- " <td>628.0</td>\n",
- " <td>569.0</td>\n",
- " <td>600.0</td>\n",
- " <td>633.0</td>\n",
- " <td>688.0</td>\n",
- " <td>929.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>19</th>\n",
- " <td>589.0</td>\n",
- " <td>652.0</td>\n",
- " <td>687.0</td>\n",
- " <td>530.0</td>\n",
- " <td>600.0</td>\n",
- " <td>692.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>20</th>\n",
- " <td>622.0</td>\n",
- " <td>611.0</td>\n",
- " <td>615.0</td>\n",
- " <td>667.0</td>\n",
- " <td>658.0</td>\n",
- " <td>772.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>21</th>\n",
- " <td>614.0</td>\n",
- " <td>624.0</td>\n",
- " <td>602.0</td>\n",
- " <td>603.0</td>\n",
- " <td>627.0</td>\n",
- " <td>692.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>22</th>\n",
- " <td>588.0</td>\n",
- " <td>500.0</td>\n",
- " <td>586.0</td>\n",
- " <td>538.0</td>\n",
- " <td>518.0</td>\n",
- " <td>587.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>23</th>\n",
- " <td>648.0</td>\n",
- " <td>584.0</td>\n",
- " <td>584.0</td>\n",
- " <td>607.0</td>\n",
- " <td>626.0</td>\n",
- " <td>700.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>24</th>\n",
- " <td>606.0</td>\n",
- " <td>578.0</td>\n",
- " <td>599.0</td>\n",
- " <td>561.0</td>\n",
- " <td>598.0</td>\n",
- " <td>574.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>25</th>\n",
- " <td>595.0</td>\n",
- " <td>558.0</td>\n",
- " <td>608.0</td>\n",
- " <td>562.0</td>\n",
- " <td>542.0</td>\n",
- " <td>617.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>26</th>\n",
- " <td>597.0</td>\n",
- " <td>549.0</td>\n",
- " <td>546.0</td>\n",
- " <td>599.0</td>\n",
- " <td>564.0</td>\n",
- " <td>552.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>27</th>\n",
- " <td>535.0</td>\n",
- " <td>524.0</td>\n",
- " <td>556.0</td>\n",
- " <td>625.0</td>\n",
- " <td>534.0</td>\n",
- " <td>584.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>28</th>\n",
- " <td>554.0</td>\n",
- " <td>599.0</td>\n",
- " <td>564.0</td>\n",
- " <td>583.0</td>\n",
- " <td>588.0</td>\n",
- " <td>572.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>29</th>\n",
- " <td>574.0</td>\n",
- " <td>560.0</td>\n",
- " <td>551.0</td>\n",
- " <td>548.0</td>\n",
- " <td>553.0</td>\n",
- " <td>550.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>30</th>\n",
- " <td>529.0</td>\n",
- " <td>610.0</td>\n",
- " <td>586.0</td>\n",
- " <td>560.0</td>\n",
- " <td>543.0</td>\n",
- " <td>565.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>31</th>\n",
- " <td>546.0</td>\n",
- " <td>580.0</td>\n",
- " <td>590.0</td>\n",
- " <td>574.0</td>\n",
- " <td>570.0</td>\n",
- " <td>531.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>32</th>\n",
- " <td>564.0</td>\n",
- " <td>641.0</td>\n",
- " <td>572.0</td>\n",
- " <td>537.0</td>\n",
- " <td>542.0</td>\n",
- " <td>563.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>33</th>\n",
- " <td>548.0</td>\n",
- " <td>574.0</td>\n",
- " <td>592.0</td>\n",
- " <td>518.0</td>\n",
- " <td>589.0</td>\n",
- " <td>617.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>34</th>\n",
- " <td>557.0</td>\n",
- " <td>619.0</td>\n",
- " <td>570.0</td>\n",
- " <td>565.0</td>\n",
- " <td>553.0</td>\n",
- " <td>594.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>35</th>\n",
- " <td>603.0</td>\n",
- " <td>470.0</td>\n",
- " <td>555.0</td>\n",
- " <td>511.0</td>\n",
- " <td>558.0</td>\n",
- " <td>591.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>36</th>\n",
- " <td>489.0</td>\n",
- " <td>552.0</td>\n",
- " <td>542.0</td>\n",
- " <td>594.0</td>\n",
- " <td>582.0</td>\n",
- " <td>488.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>37</th>\n",
- " <td>554.0</td>\n",
- " <td>576.0</td>\n",
- " <td>609.0</td>\n",
- " <td>579.0</td>\n",
- " <td>567.0</td>\n",
- " <td>578.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>38</th>\n",
- " <td>555.0</td>\n",
- " <td>563.0</td>\n",
- " <td>585.0</td>\n",
- " <td>598.0</td>\n",
- " <td>572.0</td>\n",
- " <td>555.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>39</th>\n",
- " <td>664.0</td>\n",
- " <td>592.0</td>\n",
- " <td>593.0</td>\n",
- " <td>560.0</td>\n",
- " <td>611.0</td>\n",
- " <td>617.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>40</th>\n",
- " <td>552.0</td>\n",
- " <td>562.0</td>\n",
- " <td>631.0</td>\n",
- " <td>595.0</td>\n",
- " <td>597.0</td>\n",
- " <td>671.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>41</th>\n",
- " <td>652.0</td>\n",
- " <td>587.0</td>\n",
- " <td>640.0</td>\n",
- " <td>606.0</td>\n",
- " <td>590.0</td>\n",
- " <td>638.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>42</th>\n",
- " <td>612.0</td>\n",
- " <td>624.0</td>\n",
- " <td>650.0</td>\n",
- " <td>640.0</td>\n",
- " <td>622.0</td>\n",
- " <td>688.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>43</th>\n",
- " <td>607.0</td>\n",
- " <td>624.0</td>\n",
- " <td>608.0</td>\n",
- " <td>633.0</td>\n",
- " <td>670.0</td>\n",
- " <td>661.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>44</th>\n",
- " <td>593.0</td>\n",
- " <td>644.0</td>\n",
- " <td>595.0</td>\n",
- " <td>604.0</td>\n",
- " <td>642.0</td>\n",
- " <td>712.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>45</th>\n",
- " <td>606.0</td>\n",
- " <td>626.0</td>\n",
- " <td>598.0</td>\n",
- " <td>642.0</td>\n",
- " <td>653.0</td>\n",
- " <td>832.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>46</th>\n",
- " <td>613.0</td>\n",
- " <td>681.0</td>\n",
- " <td>666.0</td>\n",
- " <td>656.0</td>\n",
- " <td>674.0</td>\n",
- " <td>742.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>47</th>\n",
- " <td>611.0</td>\n",
- " <td>661.0</td>\n",
- " <td>639.0</td>\n",
- " <td>657.0</td>\n",
- " <td>699.0</td>\n",
- " <td>848.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>48</th>\n",
- " <td>589.0</td>\n",
- " <td>643.0</td>\n",
- " <td>636.0</td>\n",
- " <td>673.0</td>\n",
- " <td>689.0</td>\n",
- " <td>797.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>49</th>\n",
- " <td>659.0</td>\n",
- " <td>693.0</td>\n",
- " <td>630.0</td>\n",
- " <td>674.0</td>\n",
- " <td>737.0</td>\n",
- " <td>836.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>50</th>\n",
- " <td>688.0</td>\n",
- " <td>663.0</td>\n",
- " <td>708.0</td>\n",
- " <td>708.0</td>\n",
- " <td>699.0</td>\n",
- " <td>814.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>51</th>\n",
- " <td>646.0</td>\n",
- " <td>691.0</td>\n",
- " <td>762.0</td>\n",
- " <td>724.0</td>\n",
- " <td>767.0</td>\n",
- " <td>882.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>52</th>\n",
- " <td>535.0</td>\n",
- " <td>558.0</td>\n",
- " <td>541.0</td>\n",
- " <td>461.0</td>\n",
- " <td>496.0</td>\n",
- " <td>825.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>53</th>\n",
- " <td>516.0</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>727.0</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- "year 2015 2016 2017 2018 2019 2020\n",
- "week \n",
- "1 725.0 809.0 744.0 783.0 718.0 787.0\n",
- "2 1031.0 711.0 825.0 904.0 809.0 939.0\n",
- "3 936.0 720.0 835.0 885.0 683.0 767.0\n",
- "4 828.0 717.0 881.0 850.0 734.0 723.0\n",
- "5 801.0 690.0 749.0 815.0 745.0 727.0\n",
- "6 720.0 700.0 723.0 801.0 701.0 690.0\n",
- "7 710.0 657.0 690.0 803.0 748.0 728.0\n",
- "8 739.0 696.0 701.0 789.0 695.0 679.0\n",
- "9 736.0 721.0 715.0 634.0 684.0 651.0\n",
- "10 712.0 734.0 634.0 896.0 622.0 652.0\n",
- "11 661.0 738.0 653.0 918.0 666.0 675.0\n",
- "12 680.0 668.0 635.0 774.0 628.0 719.0\n",
- "13 666.0 712.0 658.0 633.0 654.0 719.0\n",
- "14 580.0 742.0 642.0 730.0 642.0 920.0\n",
- "15 660.0 738.0 577.0 743.0 637.0 928.0\n",
- "16 671.0 714.0 654.0 688.0 580.0 1169.0\n",
- "17 662.0 629.0 727.0 614.0 678.0 1124.0\n",
- "18 628.0 569.0 600.0 633.0 688.0 929.0\n",
- "19 589.0 652.0 687.0 530.0 600.0 692.0\n",
- "20 622.0 611.0 615.0 667.0 658.0 772.0\n",
- "21 614.0 624.0 602.0 603.0 627.0 692.0\n",
- "22 588.0 500.0 586.0 538.0 518.0 587.0\n",
- "23 648.0 584.0 584.0 607.0 626.0 700.0\n",
- "24 606.0 578.0 599.0 561.0 598.0 574.0\n",
- "25 595.0 558.0 608.0 562.0 542.0 617.0\n",
- "26 597.0 549.0 546.0 599.0 564.0 552.0\n",
- "27 535.0 524.0 556.0 625.0 534.0 584.0\n",
- "28 554.0 599.0 564.0 583.0 588.0 572.0\n",
- "29 574.0 560.0 551.0 548.0 553.0 550.0\n",
- "30 529.0 610.0 586.0 560.0 543.0 565.0\n",
- "31 546.0 580.0 590.0 574.0 570.0 531.0\n",
- "32 564.0 641.0 572.0 537.0 542.0 563.0\n",
- "33 548.0 574.0 592.0 518.0 589.0 617.0\n",
- "34 557.0 619.0 570.0 565.0 553.0 594.0\n",
- "35 603.0 470.0 555.0 511.0 558.0 591.0\n",
- "36 489.0 552.0 542.0 594.0 582.0 488.0\n",
- "37 554.0 576.0 609.0 579.0 567.0 578.0\n",
- "38 555.0 563.0 585.0 598.0 572.0 555.0\n",
- "39 664.0 592.0 593.0 560.0 611.0 617.0\n",
- "40 552.0 562.0 631.0 595.0 597.0 671.0\n",
- "41 652.0 587.0 640.0 606.0 590.0 638.0\n",
- "42 612.0 624.0 650.0 640.0 622.0 688.0\n",
- "43 607.0 624.0 608.0 633.0 670.0 661.0\n",
- "44 593.0 644.0 595.0 604.0 642.0 712.0\n",
- "45 606.0 626.0 598.0 642.0 653.0 832.0\n",
- "46 613.0 681.0 666.0 656.0 674.0 742.0\n",
- "47 611.0 661.0 639.0 657.0 699.0 848.0\n",
- "48 589.0 643.0 636.0 673.0 689.0 797.0\n",
- "49 659.0 693.0 630.0 674.0 737.0 836.0\n",
- "50 688.0 663.0 708.0 708.0 699.0 814.0\n",
- "51 646.0 691.0 762.0 724.0 767.0 882.0\n",
- "52 535.0 558.0 541.0 461.0 496.0 825.0\n",
- "53 516.0 NaN NaN NaN NaN 727.0"
- ]
- },
- "execution_count": 100,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "deaths_headlines_w = res.DataFrame().pivot(index='week', columns='year', values='deaths')\n",
- "deaths_headlines_w"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 101,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "314 rows affected.\n",
- "Returning data to local variable res\n"
- ]
- }
- ],
- "source": [
- "%%sql res << select week, year, deaths\n",
- "from all_causes_deaths\n",
- "where nation = 'Northern Ireland'"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 102,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
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- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th>year</th>\n",
- " <th>2015</th>\n",
- " <th>2016</th>\n",
- " <th>2017</th>\n",
- " <th>2018</th>\n",
- " <th>2019</th>\n",
- " <th>2020</th>\n",
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- " <tr>\n",
- " <th>week</th>\n",
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- " <tbody>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>319.0</td>\n",
- " <td>424.0</td>\n",
- " <td>416.0</td>\n",
- " <td>447.0</td>\n",
- " <td>365.0</td>\n",
- " <td>353.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>373.0</td>\n",
- " <td>348.0</td>\n",
- " <td>434.0</td>\n",
- " <td>481.0</td>\n",
- " <td>371.0</td>\n",
- " <td>395.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>383.0</td>\n",
- " <td>372.0</td>\n",
- " <td>397.0</td>\n",
- " <td>470.0</td>\n",
- " <td>332.0</td>\n",
- " <td>411.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>397.0</td>\n",
- " <td>355.0</td>\n",
- " <td>387.0</td>\n",
- " <td>426.0</td>\n",
- " <td>335.0</td>\n",
- " <td>347.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>5</th>\n",
- " <td>374.0</td>\n",
- " <td>314.0</td>\n",
- " <td>371.0</td>\n",
- " <td>433.0</td>\n",
- " <td>296.0</td>\n",
- " <td>323.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>6</th>\n",
- " <td>347.0</td>\n",
- " <td>310.0</td>\n",
- " <td>336.0</td>\n",
- " <td>351.0</td>\n",
- " <td>319.0</td>\n",
- " <td>332.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>7</th>\n",
- " <td>328.0</td>\n",
- " <td>217.0</td>\n",
- " <td>337.0</td>\n",
- " <td>364.0</td>\n",
- " <td>342.0</td>\n",
- " <td>306.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>8</th>\n",
- " <td>317.0</td>\n",
- " <td>423.0</td>\n",
- " <td>351.0</td>\n",
- " <td>366.0</td>\n",
- " <td>337.0</td>\n",
- " <td>297.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>9</th>\n",
- " <td>401.0</td>\n",
- " <td>298.0</td>\n",
- " <td>352.0</td>\n",
- " <td>314.0</td>\n",
- " <td>310.0</td>\n",
- " <td>347.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>10</th>\n",
- " <td>346.0</td>\n",
- " <td>309.0</td>\n",
- " <td>357.0</td>\n",
- " <td>387.0</td>\n",
- " <td>342.0</td>\n",
- " <td>312.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>11</th>\n",
- " <td>323.0</td>\n",
- " <td>292.0</td>\n",
- " <td>251.0</td>\n",
- " <td>359.0</td>\n",
- " <td>343.0</td>\n",
- " <td>324.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>12</th>\n",
- " <td>310.0</td>\n",
- " <td>306.0</td>\n",
- " <td>356.0</td>\n",
- " <td>326.0</td>\n",
- " <td>294.0</td>\n",
- " <td>271.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>13</th>\n",
- " <td>323.0</td>\n",
- " <td>280.0</td>\n",
- " <td>314.0</td>\n",
- " <td>319.0</td>\n",
- " <td>307.0</td>\n",
- " <td>287.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>14</th>\n",
- " <td>221.0</td>\n",
- " <td>295.0</td>\n",
- " <td>306.0</td>\n",
- " <td>286.0</td>\n",
- " <td>287.0</td>\n",
- " <td>434.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>15</th>\n",
- " <td>294.0</td>\n",
- " <td>292.0</td>\n",
- " <td>270.0</td>\n",
- " <td>350.0</td>\n",
- " <td>301.0</td>\n",
- " <td>435.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>16</th>\n",
- " <td>327.0</td>\n",
- " <td>293.0</td>\n",
- " <td>245.0</td>\n",
- " <td>280.0</td>\n",
- " <td>316.0</td>\n",
- " <td>424.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>17</th>\n",
- " <td>316.0</td>\n",
- " <td>306.0</td>\n",
- " <td>327.0</td>\n",
- " <td>282.0</td>\n",
- " <td>272.0</td>\n",
- " <td>470.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>18</th>\n",
- " <td>335.0</td>\n",
- " <td>258.0</td>\n",
- " <td>258.0</td>\n",
- " <td>292.0</td>\n",
- " <td>357.0</td>\n",
- " <td>427.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>19</th>\n",
- " <td>256.0</td>\n",
- " <td>318.0</td>\n",
- " <td>302.0</td>\n",
- " <td>230.0</td>\n",
- " <td>288.0</td>\n",
- " <td>336.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>20</th>\n",
- " <td>299.0</td>\n",
- " <td>259.0</td>\n",
- " <td>315.0</td>\n",
- " <td>268.0</td>\n",
- " <td>330.0</td>\n",
- " <td>396.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>21</th>\n",
- " <td>290.0</td>\n",
- " <td>280.0</td>\n",
- " <td>328.0</td>\n",
- " <td>268.0</td>\n",
- " <td>308.0</td>\n",
- " <td>325.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>22</th>\n",
- " <td>258.0</td>\n",
- " <td>284.0</td>\n",
- " <td>256.0</td>\n",
- " <td>252.0</td>\n",
- " <td>245.0</td>\n",
- " <td>316.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>23</th>\n",
- " <td>340.0</td>\n",
- " <td>275.0</td>\n",
- " <td>292.0</td>\n",
- " <td>276.0</td>\n",
- " <td>279.0</td>\n",
- " <td>304.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>24</th>\n",
- " <td>272.0</td>\n",
- " <td>299.0</td>\n",
- " <td>300.0</td>\n",
- " <td>277.0</td>\n",
- " <td>281.0</td>\n",
- " <td>292.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>25</th>\n",
- " <td>292.0</td>\n",
- " <td>252.0</td>\n",
- " <td>271.0</td>\n",
- " <td>265.0</td>\n",
- " <td>296.0</td>\n",
- " <td>290.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>26</th>\n",
- " <td>303.0</td>\n",
- " <td>291.0</td>\n",
- " <td>296.0</td>\n",
- " <td>271.0</td>\n",
- " <td>262.0</td>\n",
- " <td>295.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>27</th>\n",
- " <td>300.0</td>\n",
- " <td>286.0</td>\n",
- " <td>262.0</td>\n",
- " <td>266.0</td>\n",
- " <td>285.0</td>\n",
- " <td>289.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>28</th>\n",
- " <td>252.0</td>\n",
- " <td>237.0</td>\n",
- " <td>253.0</td>\n",
- " <td>172.0</td>\n",
- " <td>256.0</td>\n",
- " <td>275.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>29</th>\n",
- " <td>203.0</td>\n",
- " <td>281.0</td>\n",
- " <td>288.0</td>\n",
- " <td>298.0</td>\n",
- " <td>280.0</td>\n",
- " <td>240.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>30</th>\n",
- " <td>274.0</td>\n",
- " <td>298.0</td>\n",
- " <td>287.0</td>\n",
- " <td>282.0</td>\n",
- " <td>269.0</td>\n",
- " <td>307.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>31</th>\n",
- " <td>291.0</td>\n",
- " <td>264.0</td>\n",
- " <td>287.0</td>\n",
- " <td>278.0</td>\n",
- " <td>273.0</td>\n",
- " <td>273.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>32</th>\n",
- " <td>248.0</td>\n",
- " <td>270.0</td>\n",
- " <td>238.0</td>\n",
- " <td>270.0</td>\n",
- " <td>266.0</td>\n",
- " <td>280.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>33</th>\n",
- " <td>235.0</td>\n",
- " <td>260.0</td>\n",
- " <td>266.0</td>\n",
- " <td>283.0</td>\n",
- " <td>284.0</td>\n",
- " <td>278.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>34</th>\n",
- " <td>251.0</td>\n",
- " <td>301.0</td>\n",
- " <td>271.0</td>\n",
- " <td>280.0</td>\n",
- " <td>274.0</td>\n",
- " <td>313.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>35</th>\n",
- " <td>259.0</td>\n",
- " <td>264.0</td>\n",
- " <td>243.0</td>\n",
- " <td>251.0</td>\n",
- " <td>223.0</td>\n",
- " <td>303.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>36</th>\n",
- " <td>237.0</td>\n",
- " <td>275.0</td>\n",
- " <td>278.0</td>\n",
- " <td>265.0</td>\n",
- " <td>243.0</td>\n",
- " <td>234.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>37</th>\n",
- " <td>324.0</td>\n",
- " <td>294.0</td>\n",
- " <td>266.0</td>\n",
- " <td>285.0</td>\n",
- " <td>305.0</td>\n",
- " <td>296.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>38</th>\n",
- " <td>283.0</td>\n",
- " <td>272.0</td>\n",
- " <td>292.0</td>\n",
- " <td>247.0</td>\n",
- " <td>281.0</td>\n",
- " <td>322.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>39</th>\n",
- " <td>287.0</td>\n",
- " <td>275.0</td>\n",
- " <td>282.0</td>\n",
- " <td>298.0</td>\n",
- " <td>295.0</td>\n",
- " <td>323.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>40</th>\n",
- " <td>282.0</td>\n",
- " <td>308.0</td>\n",
- " <td>307.0</td>\n",
- " <td>324.0</td>\n",
- " <td>263.0</td>\n",
- " <td>328.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>41</th>\n",
- " <td>304.0</td>\n",
- " <td>288.0</td>\n",
- " <td>284.0</td>\n",
- " <td>318.0</td>\n",
- " <td>287.0</td>\n",
- " <td>348.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>42</th>\n",
- " <td>299.0</td>\n",
- " <td>296.0</td>\n",
- " <td>291.0</td>\n",
- " <td>282.0</td>\n",
- " <td>316.0</td>\n",
- " <td>278.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>43</th>\n",
- " <td>274.0</td>\n",
- " <td>272.0</td>\n",
- " <td>318.0</td>\n",
- " <td>263.0</td>\n",
- " <td>279.0</td>\n",
- " <td>391.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>44</th>\n",
- " <td>292.0</td>\n",
- " <td>279.0</td>\n",
- " <td>320.0</td>\n",
- " <td>252.0</td>\n",
- " <td>302.0</td>\n",
- " <td>368.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>45</th>\n",
- " <td>290.0</td>\n",
- " <td>290.0</td>\n",
- " <td>295.0</td>\n",
- " <td>293.0</td>\n",
- " <td>296.0</td>\n",
- " <td>386.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>46</th>\n",
- " <td>297.0</td>\n",
- " <td>341.0</td>\n",
- " <td>323.0</td>\n",
- " <td>275.0</td>\n",
- " <td>336.0</td>\n",
- " <td>406.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>47</th>\n",
- " <td>294.0</td>\n",
- " <td>329.0</td>\n",
- " <td>303.0</td>\n",
- " <td>274.0</td>\n",
- " <td>361.0</td>\n",
- " <td>396.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>48</th>\n",
- " <td>279.0</td>\n",
- " <td>303.0</td>\n",
- " <td>355.0</td>\n",
- " <td>297.0</td>\n",
- " <td>334.0</td>\n",
- " <td>348.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>49</th>\n",
- " <td>294.0</td>\n",
- " <td>322.0</td>\n",
- " <td>324.0</td>\n",
- " <td>324.0</td>\n",
- " <td>351.0</td>\n",
- " <td>387.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>50</th>\n",
- " <td>343.0</td>\n",
- " <td>324.0</td>\n",
- " <td>372.0</td>\n",
- " <td>316.0</td>\n",
- " <td>353.0</td>\n",
- " <td>366.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>51</th>\n",
- " <td>301.0</td>\n",
- " <td>360.0</td>\n",
- " <td>354.0</td>\n",
- " <td>317.0</td>\n",
- " <td>363.0</td>\n",
- " <td>350.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>52</th>\n",
- " <td>232.0</td>\n",
- " <td>199.0</td>\n",
- " <td>249.0</td>\n",
- " <td>195.0</td>\n",
- " <td>194.0</td>\n",
- " <td>310.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>53</th>\n",
- " <td>232.0</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>333.0</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- "year 2015 2016 2017 2018 2019 2020\n",
- "week \n",
- "1 319.0 424.0 416.0 447.0 365.0 353.0\n",
- "2 373.0 348.0 434.0 481.0 371.0 395.0\n",
- "3 383.0 372.0 397.0 470.0 332.0 411.0\n",
- "4 397.0 355.0 387.0 426.0 335.0 347.0\n",
- "5 374.0 314.0 371.0 433.0 296.0 323.0\n",
- "6 347.0 310.0 336.0 351.0 319.0 332.0\n",
- "7 328.0 217.0 337.0 364.0 342.0 306.0\n",
- "8 317.0 423.0 351.0 366.0 337.0 297.0\n",
- "9 401.0 298.0 352.0 314.0 310.0 347.0\n",
- "10 346.0 309.0 357.0 387.0 342.0 312.0\n",
- "11 323.0 292.0 251.0 359.0 343.0 324.0\n",
- "12 310.0 306.0 356.0 326.0 294.0 271.0\n",
- "13 323.0 280.0 314.0 319.0 307.0 287.0\n",
- "14 221.0 295.0 306.0 286.0 287.0 434.0\n",
- "15 294.0 292.0 270.0 350.0 301.0 435.0\n",
- "16 327.0 293.0 245.0 280.0 316.0 424.0\n",
- "17 316.0 306.0 327.0 282.0 272.0 470.0\n",
- "18 335.0 258.0 258.0 292.0 357.0 427.0\n",
- "19 256.0 318.0 302.0 230.0 288.0 336.0\n",
- "20 299.0 259.0 315.0 268.0 330.0 396.0\n",
- "21 290.0 280.0 328.0 268.0 308.0 325.0\n",
- "22 258.0 284.0 256.0 252.0 245.0 316.0\n",
- "23 340.0 275.0 292.0 276.0 279.0 304.0\n",
- "24 272.0 299.0 300.0 277.0 281.0 292.0\n",
- "25 292.0 252.0 271.0 265.0 296.0 290.0\n",
- "26 303.0 291.0 296.0 271.0 262.0 295.0\n",
- "27 300.0 286.0 262.0 266.0 285.0 289.0\n",
- "28 252.0 237.0 253.0 172.0 256.0 275.0\n",
- "29 203.0 281.0 288.0 298.0 280.0 240.0\n",
- "30 274.0 298.0 287.0 282.0 269.0 307.0\n",
- "31 291.0 264.0 287.0 278.0 273.0 273.0\n",
- "32 248.0 270.0 238.0 270.0 266.0 280.0\n",
- "33 235.0 260.0 266.0 283.0 284.0 278.0\n",
- "34 251.0 301.0 271.0 280.0 274.0 313.0\n",
- "35 259.0 264.0 243.0 251.0 223.0 303.0\n",
- "36 237.0 275.0 278.0 265.0 243.0 234.0\n",
- "37 324.0 294.0 266.0 285.0 305.0 296.0\n",
- "38 283.0 272.0 292.0 247.0 281.0 322.0\n",
- "39 287.0 275.0 282.0 298.0 295.0 323.0\n",
- "40 282.0 308.0 307.0 324.0 263.0 328.0\n",
- "41 304.0 288.0 284.0 318.0 287.0 348.0\n",
- "42 299.0 296.0 291.0 282.0 316.0 278.0\n",
- "43 274.0 272.0 318.0 263.0 279.0 391.0\n",
- "44 292.0 279.0 320.0 252.0 302.0 368.0\n",
- "45 290.0 290.0 295.0 293.0 296.0 386.0\n",
- "46 297.0 341.0 323.0 275.0 336.0 406.0\n",
- "47 294.0 329.0 303.0 274.0 361.0 396.0\n",
- "48 279.0 303.0 355.0 297.0 334.0 348.0\n",
- "49 294.0 322.0 324.0 324.0 351.0 387.0\n",
- "50 343.0 324.0 372.0 316.0 353.0 366.0\n",
- "51 301.0 360.0 354.0 317.0 363.0 350.0\n",
- "52 232.0 199.0 249.0 195.0 194.0 310.0\n",
- "53 232.0 NaN NaN NaN NaN 333.0"
- ]
- },
- "execution_count": 102,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "deaths_headlines_i = res.DataFrame().pivot(index='week', columns='year', values='deaths')\n",
- "deaths_headlines_i"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 103,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
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- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th>year</th>\n",
- " <th>2015</th>\n",
- " <th>2016</th>\n",
- " <th>2017</th>\n",
- " <th>2018</th>\n",
- " <th>2019</th>\n",
- " <th>2020</th>\n",
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- " <th>week</th>\n",
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- " <tbody>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>13751.0</td>\n",
- " <td>14863.0</td>\n",
- " <td>13612.0</td>\n",
- " <td>14701.0</td>\n",
- " <td>12424.0</td>\n",
- " <td>13768.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>18318.0</td>\n",
- " <td>13154.0</td>\n",
- " <td>15528.0</td>\n",
- " <td>17430.0</td>\n",
- " <td>14487.0</td>\n",
- " <td>16020.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>16738.0</td>\n",
- " <td>13060.0</td>\n",
- " <td>15231.0</td>\n",
- " <td>16355.0</td>\n",
- " <td>13545.0</td>\n",
- " <td>14723.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>15712.0</td>\n",
- " <td>12859.0</td>\n",
- " <td>14461.0</td>\n",
- " <td>15971.0</td>\n",
- " <td>13283.0</td>\n",
- " <td>13429.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>5</th>\n",
- " <td>14560.0</td>\n",
- " <td>12571.0</td>\n",
- " <td>14188.0</td>\n",
- " <td>15087.0</td>\n",
- " <td>12799.0</td>\n",
- " <td>13123.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>6</th>\n",
- " <td>13730.0</td>\n",
- " <td>12697.0</td>\n",
- " <td>13805.0</td>\n",
- " <td>14111.0</td>\n",
- " <td>13222.0</td>\n",
- " <td>12534.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>7</th>\n",
- " <td>13510.0</td>\n",
- " <td>12016.0</td>\n",
- " <td>13212.0</td>\n",
- " <td>13925.0</td>\n",
- " <td>13347.0</td>\n",
- " <td>12412.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>8</th>\n",
- " <td>13071.0</td>\n",
- " <td>12718.0</td>\n",
- " <td>13330.0</td>\n",
- " <td>13753.0</td>\n",
- " <td>12877.0</td>\n",
- " <td>12300.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>9</th>\n",
- " <td>13181.0</td>\n",
- " <td>12733.0</td>\n",
- " <td>12819.0</td>\n",
- " <td>12190.0</td>\n",
- " <td>12479.0</td>\n",
- " <td>12334.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>10</th>\n",
- " <td>13007.0</td>\n",
- " <td>12493.0</td>\n",
- " <td>12580.0</td>\n",
- " <td>14859.0</td>\n",
- " <td>12396.0</td>\n",
- " <td>12415.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>11</th>\n",
- " <td>12475.0</td>\n",
- " <td>12489.0</td>\n",
- " <td>12089.0</td>\n",
- " <td>14367.0</td>\n",
- " <td>12018.0</td>\n",
- " <td>12499.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>12</th>\n",
- " <td>12027.0</td>\n",
- " <td>10983.0</td>\n",
- " <td>11833.0</td>\n",
- " <td>13397.0</td>\n",
- " <td>11797.0</td>\n",
- " <td>12112.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>13</th>\n",
- " <td>11987.0</td>\n",
- " <td>11738.0</td>\n",
- " <td>11453.0</td>\n",
- " <td>11310.0</td>\n",
- " <td>11260.0</td>\n",
- " <td>12507.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>14</th>\n",
- " <td>10325.0</td>\n",
- " <td>13060.0</td>\n",
- " <td>11305.0</td>\n",
- " <td>12272.0</td>\n",
- " <td>11445.0</td>\n",
- " <td>18565.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>15</th>\n",
- " <td>11575.0</td>\n",
- " <td>12757.0</td>\n",
- " <td>9761.0</td>\n",
- " <td>13843.0</td>\n",
- " <td>11661.0</td>\n",
- " <td>20929.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>16</th>\n",
- " <td>13061.0</td>\n",
- " <td>12310.0</td>\n",
- " <td>11000.0</td>\n",
- " <td>12639.0</td>\n",
- " <td>10243.0</td>\n",
- " <td>24691.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>17</th>\n",
- " <td>12023.0</td>\n",
- " <td>11795.0</td>\n",
- " <td>12356.0</td>\n",
- " <td>11596.0</td>\n",
- " <td>11452.0</td>\n",
- " <td>24303.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>18</th>\n",
- " <td>11586.0</td>\n",
- " <td>10401.0</td>\n",
- " <td>10372.0</td>\n",
- " <td>11538.0</td>\n",
- " <td>12695.0</td>\n",
- " <td>20059.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>19</th>\n",
- " <td>10138.0</td>\n",
- " <td>12002.0</td>\n",
- " <td>12114.0</td>\n",
- " <td>9821.0</td>\n",
- " <td>10361.0</td>\n",
- " <td>14428.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>20</th>\n",
- " <td>11692.0</td>\n",
- " <td>11222.0</td>\n",
- " <td>11718.0</td>\n",
- " <td>11386.0</td>\n",
- " <td>11717.0</td>\n",
- " <td>16390.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>21</th>\n",
- " <td>11334.0</td>\n",
- " <td>11013.0</td>\n",
- " <td>11431.0</td>\n",
- " <td>10974.0</td>\n",
- " <td>11653.0</td>\n",
- " <td>13839.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>22</th>\n",
- " <td>9514.0</td>\n",
- " <td>9192.0</td>\n",
- " <td>9603.0</td>\n",
- " <td>9397.0</td>\n",
- " <td>9534.0</td>\n",
- " <td>11265.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>23</th>\n",
- " <td>11603.0</td>\n",
- " <td>11171.0</td>\n",
- " <td>11134.0</td>\n",
- " <td>11259.0</td>\n",
- " <td>11461.0</td>\n",
- " <td>12106.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>24</th>\n",
- " <td>10858.0</td>\n",
- " <td>10673.0</td>\n",
- " <td>10698.0</td>\n",
- " <td>10535.0</td>\n",
- " <td>10754.0</td>\n",
- " <td>11302.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>25</th>\n",
- " <td>10629.0</td>\n",
- " <td>10611.0</td>\n",
- " <td>10930.0</td>\n",
- " <td>10514.0</td>\n",
- " <td>10807.0</td>\n",
- " <td>10694.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>26</th>\n",
- " <td>10525.0</td>\n",
- " <td>10526.0</td>\n",
- " <td>10624.0</td>\n",
- " <td>10529.0</td>\n",
- " <td>10824.0</td>\n",
- " <td>10282.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>27</th>\n",
- " <td>10545.0</td>\n",
- " <td>10412.0</td>\n",
- " <td>10565.0</td>\n",
- " <td>10565.0</td>\n",
- " <td>10328.0</td>\n",
- " <td>10412.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>28</th>\n",
- " <td>10278.0</td>\n",
- " <td>10647.0</td>\n",
- " <td>10643.0</td>\n",
- " <td>10467.0</td>\n",
- " <td>10512.0</td>\n",
- " <td>9941.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>29</th>\n",
- " <td>10028.0</td>\n",
- " <td>10672.0</td>\n",
- " <td>10426.0</td>\n",
- " <td>10353.0</td>\n",
- " <td>10324.0</td>\n",
- " <td>10096.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>30</th>\n",
- " <td>10021.0</td>\n",
- " <td>10612.0</td>\n",
- " <td>10147.0</td>\n",
- " <td>10356.0</td>\n",
- " <td>10422.0</td>\n",
- " <td>10159.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>31</th>\n",
- " <td>9893.0</td>\n",
- " <td>10433.0</td>\n",
- " <td>10239.0</td>\n",
- " <td>10408.0</td>\n",
- " <td>10564.0</td>\n",
- " <td>10262.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>32</th>\n",
- " <td>10153.0</td>\n",
- " <td>10439.0</td>\n",
- " <td>10278.0</td>\n",
- " <td>10542.0</td>\n",
- " <td>10406.0</td>\n",
- " <td>10236.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>33</th>\n",
- " <td>10352.0</td>\n",
- " <td>10312.0</td>\n",
- " <td>10569.0</td>\n",
- " <td>10091.0</td>\n",
- " <td>10405.0</td>\n",
- " <td>10592.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>34</th>\n",
- " <td>10354.0</td>\n",
- " <td>10637.0</td>\n",
- " <td>10698.0</td>\n",
- " <td>10199.0</td>\n",
- " <td>10279.0</td>\n",
- " <td>10990.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>35</th>\n",
- " <td>10239.0</td>\n",
- " <td>9226.0</td>\n",
- " <td>9372.0</td>\n",
- " <td>9046.0</td>\n",
- " <td>9478.0</td>\n",
- " <td>10364.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>36</th>\n",
- " <td>9092.0</td>\n",
- " <td>10681.0</td>\n",
- " <td>10781.0</td>\n",
- " <td>10680.0</td>\n",
- " <td>10918.0</td>\n",
- " <td>9023.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>37</th>\n",
- " <td>10573.0</td>\n",
- " <td>10401.0</td>\n",
- " <td>10692.0</td>\n",
- " <td>10496.0</td>\n",
- " <td>10892.0</td>\n",
- " <td>11176.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>38</th>\n",
- " <td>10381.0</td>\n",
- " <td>10183.0</td>\n",
- " <td>10875.0</td>\n",
- " <td>10498.0</td>\n",
- " <td>10792.0</td>\n",
- " <td>10797.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>39</th>\n",
- " <td>10826.0</td>\n",
- " <td>10278.0</td>\n",
- " <td>11027.0</td>\n",
- " <td>10463.0</td>\n",
- " <td>10954.0</td>\n",
- " <td>10890.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>40</th>\n",
- " <td>10700.0</td>\n",
- " <td>10671.0</td>\n",
- " <td>11101.0</td>\n",
- " <td>10869.0</td>\n",
- " <td>11113.0</td>\n",
- " <td>11468.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>41</th>\n",
- " <td>11108.0</td>\n",
- " <td>11016.0</td>\n",
- " <td>11357.0</td>\n",
- " <td>11048.0</td>\n",
- " <td>11403.0</td>\n",
- " <td>11373.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>42</th>\n",
- " <td>10799.0</td>\n",
- " <td>11134.0</td>\n",
- " <td>11389.0</td>\n",
- " <td>11177.0</td>\n",
- " <td>11625.0</td>\n",
- " <td>11943.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>43</th>\n",
- " <td>10966.0</td>\n",
- " <td>11048.0</td>\n",
- " <td>11152.0</td>\n",
- " <td>10885.0</td>\n",
- " <td>11415.0</td>\n",
- " <td>12317.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>44</th>\n",
- " <td>11026.0</td>\n",
- " <td>11463.0</td>\n",
- " <td>11366.0</td>\n",
- " <td>10866.0</td>\n",
- " <td>11567.0</td>\n",
- " <td>12517.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>45</th>\n",
- " <td>11312.0</td>\n",
- " <td>11803.0</td>\n",
- " <td>11767.0</td>\n",
- " <td>11588.0</td>\n",
- " <td>12177.0</td>\n",
- " <td>13448.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>46</th>\n",
- " <td>11338.0</td>\n",
- " <td>12209.0</td>\n",
- " <td>11773.0</td>\n",
- " <td>11552.0</td>\n",
- " <td>12146.0</td>\n",
- " <td>13798.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>47</th>\n",
- " <td>11178.0</td>\n",
- " <td>12064.0</td>\n",
- " <td>12102.0</td>\n",
- " <td>11289.0</td>\n",
- " <td>12472.0</td>\n",
- " <td>14291.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>48</th>\n",
- " <td>11216.0</td>\n",
- " <td>11901.0</td>\n",
- " <td>12046.0</td>\n",
- " <td>11392.0</td>\n",
- " <td>12455.0</td>\n",
- " <td>14132.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>49</th>\n",
- " <td>11748.0</td>\n",
- " <td>12733.0</td>\n",
- " <td>12342.0</td>\n",
- " <td>11687.0</td>\n",
- " <td>12275.0</td>\n",
- " <td>13986.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>50</th>\n",
- " <td>11713.0</td>\n",
- " <td>12076.0</td>\n",
- " <td>12924.0</td>\n",
- " <td>12078.0</td>\n",
- " <td>12853.0</td>\n",
- " <td>13942.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>51</th>\n",
- " <td>12136.0</td>\n",
- " <td>13137.0</td>\n",
- " <td>14308.0</td>\n",
- " <td>12649.0</td>\n",
- " <td>13566.0</td>\n",
- " <td>14658.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>52</th>\n",
- " <td>9806.0</td>\n",
- " <td>9335.0</td>\n",
- " <td>9904.0</td>\n",
- " <td>8384.0</td>\n",
- " <td>8727.0</td>\n",
- " <td>13035.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>53</th>\n",
- " <td>8774.0</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>11580.0</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- "year 2015 2016 2017 2018 2019 2020\n",
- "week \n",
- "1 13751.0 14863.0 13612.0 14701.0 12424.0 13768.0\n",
- "2 18318.0 13154.0 15528.0 17430.0 14487.0 16020.0\n",
- "3 16738.0 13060.0 15231.0 16355.0 13545.0 14723.0\n",
- "4 15712.0 12859.0 14461.0 15971.0 13283.0 13429.0\n",
- "5 14560.0 12571.0 14188.0 15087.0 12799.0 13123.0\n",
- "6 13730.0 12697.0 13805.0 14111.0 13222.0 12534.0\n",
- "7 13510.0 12016.0 13212.0 13925.0 13347.0 12412.0\n",
- "8 13071.0 12718.0 13330.0 13753.0 12877.0 12300.0\n",
- "9 13181.0 12733.0 12819.0 12190.0 12479.0 12334.0\n",
- "10 13007.0 12493.0 12580.0 14859.0 12396.0 12415.0\n",
- "11 12475.0 12489.0 12089.0 14367.0 12018.0 12499.0\n",
- "12 12027.0 10983.0 11833.0 13397.0 11797.0 12112.0\n",
- "13 11987.0 11738.0 11453.0 11310.0 11260.0 12507.0\n",
- "14 10325.0 13060.0 11305.0 12272.0 11445.0 18565.0\n",
- "15 11575.0 12757.0 9761.0 13843.0 11661.0 20929.0\n",
- "16 13061.0 12310.0 11000.0 12639.0 10243.0 24691.0\n",
- "17 12023.0 11795.0 12356.0 11596.0 11452.0 24303.0\n",
- "18 11586.0 10401.0 10372.0 11538.0 12695.0 20059.0\n",
- "19 10138.0 12002.0 12114.0 9821.0 10361.0 14428.0\n",
- "20 11692.0 11222.0 11718.0 11386.0 11717.0 16390.0\n",
- "21 11334.0 11013.0 11431.0 10974.0 11653.0 13839.0\n",
- "22 9514.0 9192.0 9603.0 9397.0 9534.0 11265.0\n",
- "23 11603.0 11171.0 11134.0 11259.0 11461.0 12106.0\n",
- "24 10858.0 10673.0 10698.0 10535.0 10754.0 11302.0\n",
- "25 10629.0 10611.0 10930.0 10514.0 10807.0 10694.0\n",
- "26 10525.0 10526.0 10624.0 10529.0 10824.0 10282.0\n",
- "27 10545.0 10412.0 10565.0 10565.0 10328.0 10412.0\n",
- "28 10278.0 10647.0 10643.0 10467.0 10512.0 9941.0\n",
- "29 10028.0 10672.0 10426.0 10353.0 10324.0 10096.0\n",
- "30 10021.0 10612.0 10147.0 10356.0 10422.0 10159.0\n",
- "31 9893.0 10433.0 10239.0 10408.0 10564.0 10262.0\n",
- "32 10153.0 10439.0 10278.0 10542.0 10406.0 10236.0\n",
- "33 10352.0 10312.0 10569.0 10091.0 10405.0 10592.0\n",
- "34 10354.0 10637.0 10698.0 10199.0 10279.0 10990.0\n",
- "35 10239.0 9226.0 9372.0 9046.0 9478.0 10364.0\n",
- "36 9092.0 10681.0 10781.0 10680.0 10918.0 9023.0\n",
- "37 10573.0 10401.0 10692.0 10496.0 10892.0 11176.0\n",
- "38 10381.0 10183.0 10875.0 10498.0 10792.0 10797.0\n",
- "39 10826.0 10278.0 11027.0 10463.0 10954.0 10890.0\n",
- "40 10700.0 10671.0 11101.0 10869.0 11113.0 11468.0\n",
- "41 11108.0 11016.0 11357.0 11048.0 11403.0 11373.0\n",
- "42 10799.0 11134.0 11389.0 11177.0 11625.0 11943.0\n",
- "43 10966.0 11048.0 11152.0 10885.0 11415.0 12317.0\n",
- "44 11026.0 11463.0 11366.0 10866.0 11567.0 12517.0\n",
- "45 11312.0 11803.0 11767.0 11588.0 12177.0 13448.0\n",
- "46 11338.0 12209.0 11773.0 11552.0 12146.0 13798.0\n",
- "47 11178.0 12064.0 12102.0 11289.0 12472.0 14291.0\n",
- "48 11216.0 11901.0 12046.0 11392.0 12455.0 14132.0\n",
- "49 11748.0 12733.0 12342.0 11687.0 12275.0 13986.0\n",
- "50 11713.0 12076.0 12924.0 12078.0 12853.0 13942.0\n",
- "51 12136.0 13137.0 14308.0 12649.0 13566.0 14658.0\n",
- "52 9806.0 9335.0 9904.0 8384.0 8727.0 13035.0\n",
- "53 8774.0 NaN NaN NaN NaN 11580.0"
- ]
- },
- "execution_count": 103,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "deaths_headlines = deaths_headlines_e + deaths_headlines_w + deaths_headlines_i + deaths_headlines_s\n",
- "deaths_headlines"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 104,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "Int64Index([2015, 2016, 2017, 2018, 2019, 2020], dtype='int64', name='year')"
- ]
- },
- "execution_count": 104,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "deaths_headlines_e.columns"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 105,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
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- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th>year</th>\n",
- " <th>2015</th>\n",
- " <th>2016</th>\n",
- " <th>2017</th>\n",
- " <th>2018</th>\n",
- " <th>2019</th>\n",
- " <th>2020</th>\n",
- " <th>previous_mean</th>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>week</th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>13751.0</td>\n",
- " <td>14863.0</td>\n",
- " <td>13612.0</td>\n",
- " <td>14701.0</td>\n",
- " <td>12424.0</td>\n",
- " <td>13768.0</td>\n",
- " <td>13870.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>18318.0</td>\n",
- " <td>13154.0</td>\n",
- " <td>15528.0</td>\n",
- " <td>17430.0</td>\n",
- " <td>14487.0</td>\n",
- " <td>16020.0</td>\n",
- " <td>15783.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>16738.0</td>\n",
- " <td>13060.0</td>\n",
- " <td>15231.0</td>\n",
- " <td>16355.0</td>\n",
- " <td>13545.0</td>\n",
- " <td>14723.0</td>\n",
- " <td>14985.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>15712.0</td>\n",
- " <td>12859.0</td>\n",
- " <td>14461.0</td>\n",
- " <td>15971.0</td>\n",
- " <td>13283.0</td>\n",
- " <td>13429.0</td>\n",
- " <td>14457.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>5</th>\n",
- " <td>14560.0</td>\n",
- " <td>12571.0</td>\n",
- " <td>14188.0</td>\n",
- " <td>15087.0</td>\n",
- " <td>12799.0</td>\n",
- " <td>13123.0</td>\n",
- " <td>13841.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>6</th>\n",
- " <td>13730.0</td>\n",
- " <td>12697.0</td>\n",
- " <td>13805.0</td>\n",
- " <td>14111.0</td>\n",
- " <td>13222.0</td>\n",
- " <td>12534.0</td>\n",
- " <td>13513.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>7</th>\n",
- " <td>13510.0</td>\n",
- " <td>12016.0</td>\n",
- " <td>13212.0</td>\n",
- " <td>13925.0</td>\n",
- " <td>13347.0</td>\n",
- " <td>12412.0</td>\n",
- " <td>13202.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>8</th>\n",
- " <td>13071.0</td>\n",
- " <td>12718.0</td>\n",
- " <td>13330.0</td>\n",
- " <td>13753.0</td>\n",
- " <td>12877.0</td>\n",
- " <td>12300.0</td>\n",
- " <td>13149.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>9</th>\n",
- " <td>13181.0</td>\n",
- " <td>12733.0</td>\n",
- " <td>12819.0</td>\n",
- " <td>12190.0</td>\n",
- " <td>12479.0</td>\n",
- " <td>12334.0</td>\n",
- " <td>12680.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>10</th>\n",
- " <td>13007.0</td>\n",
- " <td>12493.0</td>\n",
- " <td>12580.0</td>\n",
- " <td>14859.0</td>\n",
- " <td>12396.0</td>\n",
- " <td>12415.0</td>\n",
- " <td>13067.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>11</th>\n",
- " <td>12475.0</td>\n",
- " <td>12489.0</td>\n",
- " <td>12089.0</td>\n",
- " <td>14367.0</td>\n",
- " <td>12018.0</td>\n",
- " <td>12499.0</td>\n",
- " <td>12687.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>12</th>\n",
- " <td>12027.0</td>\n",
- " <td>10983.0</td>\n",
- " <td>11833.0</td>\n",
- " <td>13397.0</td>\n",
- " <td>11797.0</td>\n",
- " <td>12112.0</td>\n",
- " <td>12007.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>13</th>\n",
- " <td>11987.0</td>\n",
- " <td>11738.0</td>\n",
- " <td>11453.0</td>\n",
- " <td>11310.0</td>\n",
- " <td>11260.0</td>\n",
- " <td>12507.0</td>\n",
- " <td>11549.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>14</th>\n",
- " <td>10325.0</td>\n",
- " <td>13060.0</td>\n",
- " <td>11305.0</td>\n",
- " <td>12272.0</td>\n",
- " <td>11445.0</td>\n",
- " <td>18565.0</td>\n",
- " <td>11681.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>15</th>\n",
- " <td>11575.0</td>\n",
- " <td>12757.0</td>\n",
- " <td>9761.0</td>\n",
- " <td>13843.0</td>\n",
- " <td>11661.0</td>\n",
- " <td>20929.0</td>\n",
- " <td>11919.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>16</th>\n",
- " <td>13061.0</td>\n",
- " <td>12310.0</td>\n",
- " <td>11000.0</td>\n",
- " <td>12639.0</td>\n",
- " <td>10243.0</td>\n",
- " <td>24691.0</td>\n",
- " <td>11850.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>17</th>\n",
- " <td>12023.0</td>\n",
- " <td>11795.0</td>\n",
- " <td>12356.0</td>\n",
- " <td>11596.0</td>\n",
- " <td>11452.0</td>\n",
- " <td>24303.0</td>\n",
- " <td>11844.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>18</th>\n",
- " <td>11586.0</td>\n",
- " <td>10401.0</td>\n",
- " <td>10372.0</td>\n",
- " <td>11538.0</td>\n",
- " <td>12695.0</td>\n",
- " <td>20059.0</td>\n",
- " <td>11318.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>19</th>\n",
- " <td>10138.0</td>\n",
- " <td>12002.0</td>\n",
- " <td>12114.0</td>\n",
- " <td>9821.0</td>\n",
- " <td>10361.0</td>\n",
- " <td>14428.0</td>\n",
- " <td>10887.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>20</th>\n",
- " <td>11692.0</td>\n",
- " <td>11222.0</td>\n",
- " <td>11718.0</td>\n",
- " <td>11386.0</td>\n",
- " <td>11717.0</td>\n",
- " <td>16390.0</td>\n",
- " <td>11547.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>21</th>\n",
- " <td>11334.0</td>\n",
- " <td>11013.0</td>\n",
- " <td>11431.0</td>\n",
- " <td>10974.0</td>\n",
- " <td>11653.0</td>\n",
- " <td>13839.0</td>\n",
- " <td>11281.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>22</th>\n",
- " <td>9514.0</td>\n",
- " <td>9192.0</td>\n",
- " <td>9603.0</td>\n",
- " <td>9397.0</td>\n",
- " <td>9534.0</td>\n",
- " <td>11265.0</td>\n",
- " <td>9448.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>23</th>\n",
- " <td>11603.0</td>\n",
- " <td>11171.0</td>\n",
- " <td>11134.0</td>\n",
- " <td>11259.0</td>\n",
- " <td>11461.0</td>\n",
- " <td>12106.0</td>\n",
- " <td>11325.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>24</th>\n",
- " <td>10858.0</td>\n",
- " <td>10673.0</td>\n",
- " <td>10698.0</td>\n",
- " <td>10535.0</td>\n",
- " <td>10754.0</td>\n",
- " <td>11302.0</td>\n",
- " <td>10703.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>25</th>\n",
- " <td>10629.0</td>\n",
- " <td>10611.0</td>\n",
- " <td>10930.0</td>\n",
- " <td>10514.0</td>\n",
- " <td>10807.0</td>\n",
- " <td>10694.0</td>\n",
- " <td>10698.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>26</th>\n",
- " <td>10525.0</td>\n",
- " <td>10526.0</td>\n",
- " <td>10624.0</td>\n",
- " <td>10529.0</td>\n",
- " <td>10824.0</td>\n",
- " <td>10282.0</td>\n",
- " <td>10605.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>27</th>\n",
- " <td>10545.0</td>\n",
- " <td>10412.0</td>\n",
- " <td>10565.0</td>\n",
- " <td>10565.0</td>\n",
- " <td>10328.0</td>\n",
- " <td>10412.0</td>\n",
- " <td>10483.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>28</th>\n",
- " <td>10278.0</td>\n",
- " <td>10647.0</td>\n",
- " <td>10643.0</td>\n",
- " <td>10467.0</td>\n",
- " <td>10512.0</td>\n",
- " <td>9941.0</td>\n",
- " <td>10509.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>29</th>\n",
- " <td>10028.0</td>\n",
- " <td>10672.0</td>\n",
- " <td>10426.0</td>\n",
- " <td>10353.0</td>\n",
- " <td>10324.0</td>\n",
- " <td>10096.0</td>\n",
- " <td>10360.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>30</th>\n",
- " <td>10021.0</td>\n",
- " <td>10612.0</td>\n",
- " <td>10147.0</td>\n",
- " <td>10356.0</td>\n",
- " <td>10422.0</td>\n",
- " <td>10159.0</td>\n",
- " <td>10311.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>31</th>\n",
- " <td>9893.0</td>\n",
- " <td>10433.0</td>\n",
- " <td>10239.0</td>\n",
- " <td>10408.0</td>\n",
- " <td>10564.0</td>\n",
- " <td>10262.0</td>\n",
- " <td>10307.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>32</th>\n",
- " <td>10153.0</td>\n",
- " <td>10439.0</td>\n",
- " <td>10278.0</td>\n",
- " <td>10542.0</td>\n",
- " <td>10406.0</td>\n",
- " <td>10236.0</td>\n",
- " <td>10363.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>33</th>\n",
- " <td>10352.0</td>\n",
- " <td>10312.0</td>\n",
- " <td>10569.0</td>\n",
- " <td>10091.0</td>\n",
- " <td>10405.0</td>\n",
- " <td>10592.0</td>\n",
- " <td>10345.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>34</th>\n",
- " <td>10354.0</td>\n",
- " <td>10637.0</td>\n",
- " <td>10698.0</td>\n",
- " <td>10199.0</td>\n",
- " <td>10279.0</td>\n",
- " <td>10990.0</td>\n",
- " <td>10433.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>35</th>\n",
- " <td>10239.0</td>\n",
- " <td>9226.0</td>\n",
- " <td>9372.0</td>\n",
- " <td>9046.0</td>\n",
- " <td>9478.0</td>\n",
- " <td>10364.0</td>\n",
- " <td>9472.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>36</th>\n",
- " <td>9092.0</td>\n",
- " <td>10681.0</td>\n",
- " <td>10781.0</td>\n",
- " <td>10680.0</td>\n",
- " <td>10918.0</td>\n",
- " <td>9023.0</td>\n",
- " <td>10430.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>37</th>\n",
- " <td>10573.0</td>\n",
- " <td>10401.0</td>\n",
- " <td>10692.0</td>\n",
- " <td>10496.0</td>\n",
- " <td>10892.0</td>\n",
- " <td>11176.0</td>\n",
- " <td>10610.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>38</th>\n",
- " <td>10381.0</td>\n",
- " <td>10183.0</td>\n",
- " <td>10875.0</td>\n",
- " <td>10498.0</td>\n",
- " <td>10792.0</td>\n",
- " <td>10797.0</td>\n",
- " <td>10545.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>39</th>\n",
- " <td>10826.0</td>\n",
- " <td>10278.0</td>\n",
- " <td>11027.0</td>\n",
- " <td>10463.0</td>\n",
- " <td>10954.0</td>\n",
- " <td>10890.0</td>\n",
- " <td>10709.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>40</th>\n",
- " <td>10700.0</td>\n",
- " <td>10671.0</td>\n",
- " <td>11101.0</td>\n",
- " <td>10869.0</td>\n",
- " <td>11113.0</td>\n",
- " <td>11468.0</td>\n",
- " <td>10890.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>41</th>\n",
- " <td>11108.0</td>\n",
- " <td>11016.0</td>\n",
- " <td>11357.0</td>\n",
- " <td>11048.0</td>\n",
- " <td>11403.0</td>\n",
- " <td>11373.0</td>\n",
- " <td>11186.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>42</th>\n",
- " <td>10799.0</td>\n",
- " <td>11134.0</td>\n",
- " <td>11389.0</td>\n",
- " <td>11177.0</td>\n",
- " <td>11625.0</td>\n",
- " <td>11943.0</td>\n",
- " <td>11224.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>43</th>\n",
- " <td>10966.0</td>\n",
- " <td>11048.0</td>\n",
- " <td>11152.0</td>\n",
- " <td>10885.0</td>\n",
- " <td>11415.0</td>\n",
- " <td>12317.0</td>\n",
- " <td>11093.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>44</th>\n",
- " <td>11026.0</td>\n",
- " <td>11463.0</td>\n",
- " <td>11366.0</td>\n",
- " <td>10866.0</td>\n",
- " <td>11567.0</td>\n",
- " <td>12517.0</td>\n",
- " <td>11257.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>45</th>\n",
- " <td>11312.0</td>\n",
- " <td>11803.0</td>\n",
- " <td>11767.0</td>\n",
- " <td>11588.0</td>\n",
- " <td>12177.0</td>\n",
- " <td>13448.0</td>\n",
- " <td>11729.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>46</th>\n",
- " <td>11338.0</td>\n",
- " <td>12209.0</td>\n",
- " <td>11773.0</td>\n",
- " <td>11552.0</td>\n",
- " <td>12146.0</td>\n",
- " <td>13798.0</td>\n",
- " <td>11803.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>47</th>\n",
- " <td>11178.0</td>\n",
- " <td>12064.0</td>\n",
- " <td>12102.0</td>\n",
- " <td>11289.0</td>\n",
- " <td>12472.0</td>\n",
- " <td>14291.0</td>\n",
- " <td>11821.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>48</th>\n",
- " <td>11216.0</td>\n",
- " <td>11901.0</td>\n",
- " <td>12046.0</td>\n",
- " <td>11392.0</td>\n",
- " <td>12455.0</td>\n",
- " <td>14132.0</td>\n",
- " <td>11802.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>49</th>\n",
- " <td>11748.0</td>\n",
- " <td>12733.0</td>\n",
- " <td>12342.0</td>\n",
- " <td>11687.0</td>\n",
- " <td>12275.0</td>\n",
- " <td>13986.0</td>\n",
- " <td>12157.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>50</th>\n",
- " <td>11713.0</td>\n",
- " <td>12076.0</td>\n",
- " <td>12924.0</td>\n",
- " <td>12078.0</td>\n",
- " <td>12853.0</td>\n",
- " <td>13942.0</td>\n",
- " <td>12328.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>51</th>\n",
- " <td>12136.0</td>\n",
- " <td>13137.0</td>\n",
- " <td>14308.0</td>\n",
- " <td>12649.0</td>\n",
- " <td>13566.0</td>\n",
- " <td>14658.0</td>\n",
- " <td>13159.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>52</th>\n",
- " <td>9806.0</td>\n",
- " <td>9335.0</td>\n",
- " <td>9904.0</td>\n",
- " <td>8384.0</td>\n",
- " <td>8727.0</td>\n",
- " <td>13035.0</td>\n",
- " <td>9231.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>53</th>\n",
- " <td>8774.0</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>11580.0</td>\n",
- " <td>8774.0</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- "year 2015 2016 2017 2018 2019 2020 previous_mean\n",
- "week \n",
- "1 13751.0 14863.0 13612.0 14701.0 12424.0 13768.0 13870.2\n",
- "2 18318.0 13154.0 15528.0 17430.0 14487.0 16020.0 15783.4\n",
- "3 16738.0 13060.0 15231.0 16355.0 13545.0 14723.0 14985.8\n",
- "4 15712.0 12859.0 14461.0 15971.0 13283.0 13429.0 14457.2\n",
- "5 14560.0 12571.0 14188.0 15087.0 12799.0 13123.0 13841.0\n",
- "6 13730.0 12697.0 13805.0 14111.0 13222.0 12534.0 13513.0\n",
- "7 13510.0 12016.0 13212.0 13925.0 13347.0 12412.0 13202.0\n",
- "8 13071.0 12718.0 13330.0 13753.0 12877.0 12300.0 13149.8\n",
- "9 13181.0 12733.0 12819.0 12190.0 12479.0 12334.0 12680.4\n",
- "10 13007.0 12493.0 12580.0 14859.0 12396.0 12415.0 13067.0\n",
- "11 12475.0 12489.0 12089.0 14367.0 12018.0 12499.0 12687.6\n",
- "12 12027.0 10983.0 11833.0 13397.0 11797.0 12112.0 12007.4\n",
- "13 11987.0 11738.0 11453.0 11310.0 11260.0 12507.0 11549.6\n",
- "14 10325.0 13060.0 11305.0 12272.0 11445.0 18565.0 11681.4\n",
- "15 11575.0 12757.0 9761.0 13843.0 11661.0 20929.0 11919.4\n",
- "16 13061.0 12310.0 11000.0 12639.0 10243.0 24691.0 11850.6\n",
- "17 12023.0 11795.0 12356.0 11596.0 11452.0 24303.0 11844.4\n",
- "18 11586.0 10401.0 10372.0 11538.0 12695.0 20059.0 11318.4\n",
- "19 10138.0 12002.0 12114.0 9821.0 10361.0 14428.0 10887.2\n",
- "20 11692.0 11222.0 11718.0 11386.0 11717.0 16390.0 11547.0\n",
- "21 11334.0 11013.0 11431.0 10974.0 11653.0 13839.0 11281.0\n",
- "22 9514.0 9192.0 9603.0 9397.0 9534.0 11265.0 9448.0\n",
- "23 11603.0 11171.0 11134.0 11259.0 11461.0 12106.0 11325.6\n",
- "24 10858.0 10673.0 10698.0 10535.0 10754.0 11302.0 10703.6\n",
- "25 10629.0 10611.0 10930.0 10514.0 10807.0 10694.0 10698.2\n",
- "26 10525.0 10526.0 10624.0 10529.0 10824.0 10282.0 10605.6\n",
- "27 10545.0 10412.0 10565.0 10565.0 10328.0 10412.0 10483.0\n",
- "28 10278.0 10647.0 10643.0 10467.0 10512.0 9941.0 10509.4\n",
- "29 10028.0 10672.0 10426.0 10353.0 10324.0 10096.0 10360.6\n",
- "30 10021.0 10612.0 10147.0 10356.0 10422.0 10159.0 10311.6\n",
- "31 9893.0 10433.0 10239.0 10408.0 10564.0 10262.0 10307.4\n",
- "32 10153.0 10439.0 10278.0 10542.0 10406.0 10236.0 10363.6\n",
- "33 10352.0 10312.0 10569.0 10091.0 10405.0 10592.0 10345.8\n",
- "34 10354.0 10637.0 10698.0 10199.0 10279.0 10990.0 10433.4\n",
- "35 10239.0 9226.0 9372.0 9046.0 9478.0 10364.0 9472.2\n",
- "36 9092.0 10681.0 10781.0 10680.0 10918.0 9023.0 10430.4\n",
- "37 10573.0 10401.0 10692.0 10496.0 10892.0 11176.0 10610.8\n",
- "38 10381.0 10183.0 10875.0 10498.0 10792.0 10797.0 10545.8\n",
- "39 10826.0 10278.0 11027.0 10463.0 10954.0 10890.0 10709.6\n",
- "40 10700.0 10671.0 11101.0 10869.0 11113.0 11468.0 10890.8\n",
- "41 11108.0 11016.0 11357.0 11048.0 11403.0 11373.0 11186.4\n",
- "42 10799.0 11134.0 11389.0 11177.0 11625.0 11943.0 11224.8\n",
- "43 10966.0 11048.0 11152.0 10885.0 11415.0 12317.0 11093.2\n",
- "44 11026.0 11463.0 11366.0 10866.0 11567.0 12517.0 11257.6\n",
- "45 11312.0 11803.0 11767.0 11588.0 12177.0 13448.0 11729.4\n",
- "46 11338.0 12209.0 11773.0 11552.0 12146.0 13798.0 11803.6\n",
- "47 11178.0 12064.0 12102.0 11289.0 12472.0 14291.0 11821.0\n",
- "48 11216.0 11901.0 12046.0 11392.0 12455.0 14132.0 11802.0\n",
- "49 11748.0 12733.0 12342.0 11687.0 12275.0 13986.0 12157.0\n",
- "50 11713.0 12076.0 12924.0 12078.0 12853.0 13942.0 12328.8\n",
- "51 12136.0 13137.0 14308.0 12649.0 13566.0 14658.0 13159.2\n",
- "52 9806.0 9335.0 9904.0 8384.0 8727.0 13035.0 9231.2\n",
- "53 8774.0 NaN NaN NaN NaN 11580.0 8774.0"
- ]
- },
- "execution_count": 105,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "deaths_headlines_e['previous_mean'] = deaths_headlines_e[[int(y) for y in '2019 2018 2017 2016 2015'.split()]].apply(np.mean, axis=1)\n",
- "deaths_headlines_w['previous_mean'] = deaths_headlines_w[[int(y) for y in '2019 2018 2017 2016 2015'.split()]].apply(np.mean, axis=1)\n",
- "deaths_headlines_s['previous_mean'] = deaths_headlines_s[[int(y) for y in '2019 2018 2017 2016 2015'.split()]].apply(np.mean, axis=1)\n",
- "deaths_headlines_i['previous_mean'] = deaths_headlines_i[[int(y) for y in '2019 2018 2017 2016 2015'.split()]].apply(np.mean, axis=1)\n",
- "deaths_headlines['previous_mean'] = deaths_headlines[[int(y) for y in '2019 2018 2017 2016 2015'.split()]].apply(np.mean, axis=1)\n",
- "deaths_headlines"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 106,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<AxesSubplot:xlabel='week'>"
- ]
- },
- "execution_count": 106,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 1008x576 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "deaths_headlines[[2020, 2019, 2018, 2017, 2016, 2015]].plot(figsize=(14, 8))"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 107,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<AxesSubplot:xlabel='week'>"
- ]
- },
- "execution_count": 107,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 720x576 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "deaths_headlines[[2020, 'previous_mean']].plot(figsize=(10, 8))"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 108,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<AxesSubplot:xlabel='week'>"
- ]
- },
- "execution_count": 108,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 432x288 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "deaths_headlines_i.plot()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 109,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "83207.6000000001"
- ]
- },
- "execution_count": 109,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "deaths_headlines[2020].sum() - deaths_headlines.previous_mean.sum()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 115,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 720x720 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "# Radar plot code taken from example at https://stackoverflow.com/questions/42878485/getting-matplotlib-radar-plot-with-pandas#\n",
- "\n",
- "dhna = deaths_headlines.dropna()\n",
- "\n",
- "fig = plt.figure(figsize=(10, 10))\n",
- "ax = fig.add_subplot(111, projection=\"polar\")\n",
- "\n",
- "theta = np.roll(\n",
- " np.flip(\n",
- " np.arange(len(dhna))/float(len(dhna))*2.*np.pi),\n",
- " 14)\n",
- "# l15, = ax.plot(theta, deaths_headlines['total_2015'], color=\"#b56363\", label=\"2015\") # 0\n",
- "# l16, = ax.plot(theta, deaths_headlines['total_2016'], color=\"#a4b563\", label=\"2016\") # 72\n",
- "# l17, = ax.plot(theta, deaths_headlines['total_2017'], color=\"#63b584\", label=\"2017\") # 144\n",
- "# l18, = ax.plot(theta, deaths_headlines['total_2018'], color=\"#6384b5\", label=\"2018\") # 216\n",
- "# l19, = ax.plot(theta, deaths_headlines['total_2019'], color=\"#a4635b\", label=\"2019\") # 288\n",
- "l15, = ax.plot(theta, dhna[2015], color=\"#e47d7d\", label=\"2015\") # 0\n",
- "l16, = ax.plot(theta, dhna[2016], color=\"#afc169\", label=\"2016\") # 72 , d0e47d\n",
- "l17, = ax.plot(theta, dhna[2017], color=\"#7de4a6\", label=\"2017\") # 144\n",
- "l18, = ax.plot(theta, dhna[2018], color=\"#7da6e4\", label=\"2018\") # 216\n",
- "l19, = ax.plot(theta, dhna[2019], color=\"#d07de4\", label=\"2019\") # 288\n",
- "\n",
- "lmean, = ax.plot(theta, dhna['previous_mean'], color=\"black\", linestyle='dashed', label=\"mean\")\n",
- "\n",
- "l20, = ax.plot(theta, dhna[2020], color=\"red\", label=\"2020\")\n",
- "\n",
- "# deaths_headlines.total_2019.plot(ax=ax)\n",
- "\n",
- "def _closeline(line):\n",
- " x, y = line.get_data()\n",
- " x = np.concatenate((x, [x[0]]))\n",
- " y = np.concatenate((y, [y[0]]))\n",
- " line.set_data(x, y)\n",
- "\n",
- "[_closeline(l) for l in [l19, l18, l17, l16, l15, lmean]]\n",
- "\n",
- "\n",
- "ax.set_xticks(theta)\n",
- "ax.set_xticklabels(dhna.index)\n",
- "plt.legend()\n",
- "plt.title(\"Deaths by week over years, all UK\")\n",
- "plt.savefig('deaths-radar-2020.png')\n",
- "plt.show()"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "Collapsed": "false"
- },
- "source": [
- "# Plots for UK nations"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 116,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 720x720 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "# Radar plot code taken from example at https://stackoverflow.com/questions/42878485/getting-matplotlib-radar-plot-with-pandas#\n",
- "\n",
- "fig = plt.figure(figsize=(10, 10))\n",
- "ax = fig.add_subplot(111, projection=\"polar\")\n",
- "\n",
- "theta = np.roll(\n",
- " np.flip(\n",
- " np.arange(len(deaths_headlines_e))/float(len(deaths_headlines_e))*2.*np.pi),\n",
- " 14)\n",
- "l15, = ax.plot(theta, deaths_headlines_e[2015], color=\"#e47d7d\", label=\"2015\") # 0\n",
- "l16, = ax.plot(theta, deaths_headlines_e[2016], color=\"#afc169\", label=\"2016\") # 72 , d0e47d\n",
- "l17, = ax.plot(theta, deaths_headlines_e[2017], color=\"#7de4a6\", label=\"2017\") # 144\n",
- "l18, = ax.plot(theta, deaths_headlines_e[2018], color=\"#7da6e4\", label=\"2018\") # 216\n",
- "l19, = ax.plot(theta, deaths_headlines_e[2019], color=\"#d07de4\", label=\"2019\") # 288\n",
- "\n",
- "lmean, = ax.plot(theta, deaths_headlines_e['previous_mean'], color=\"black\", linestyle='dashed', label=\"mean\")\n",
- "\n",
- "l20, = ax.plot(theta, deaths_headlines_e[2020], color=\"red\", label=\"2020\")\n",
- "\n",
- "# deaths_headlines.total_2019.plot(ax=ax)\n",
- "\n",
- "def _closeline(line):\n",
- " x, y = line.get_data()\n",
- " x = np.concatenate((x, [x[0]]))\n",
- " y = np.concatenate((y, [y[0]]))\n",
- " line.set_data(x, y)\n",
- "\n",
- "[_closeline(l) for l in [l19, l18, l17, l16, l15, lmean]]\n",
- "\n",
- "\n",
- "ax.set_xticks(theta)\n",
- "ax.set_xticklabels(deaths_headlines_e.index)\n",
- "plt.legend()\n",
- "plt.title(\"Deaths by week over years, England\")\n",
- "plt.savefig('deaths-radar-2020-england.png')\n",
- "plt.show()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 117,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 720x720 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "# Radar plot code taken from example at https://stackoverflow.com/questions/42878485/getting-matplotlib-radar-plot-with-pandas#\n",
- "\n",
- "fig = plt.figure(figsize=(10, 10))\n",
- "ax = fig.add_subplot(111, projection=\"polar\")\n",
- "\n",
- "theta = np.roll(\n",
- " np.flip(\n",
- " np.arange(len(deaths_headlines_w))/float(len(deaths_headlines_w))*2.*np.pi),\n",
- " 14)\n",
- "l15, = ax.plot(theta, deaths_headlines_w[2015], color=\"#e47d7d\", label=\"2015\") # 0\n",
- "l16, = ax.plot(theta, deaths_headlines_w[2016], color=\"#afc169\", label=\"2016\") # 72 , d0e47d\n",
- "l17, = ax.plot(theta, deaths_headlines_w[2017], color=\"#7de4a6\", label=\"2017\") # 144\n",
- "l18, = ax.plot(theta, deaths_headlines_w[2018], color=\"#7da6e4\", label=\"2018\") # 216\n",
- "l19, = ax.plot(theta, deaths_headlines_w[2019], color=\"#d07de4\", label=\"2019\") # 288\n",
- "\n",
- "lmean, = ax.plot(theta, deaths_headlines_w['previous_mean'], color=\"black\", linestyle='dashed', label=\"mean\")\n",
- "\n",
- "l20, = ax.plot(theta, deaths_headlines_w[2020], color=\"red\", label=\"2020\")\n",
- "\n",
- "\n",
- "def _closeline(line):\n",
- " x, y = line.get_data()\n",
- " x = np.concatenate((x, [x[0]]))\n",
- " y = np.concatenate((y, [y[0]]))\n",
- " line.set_data(x, y)\n",
- "\n",
- "[_closeline(l) for l in [l19, l18, l17, l16, l15, lmean]]\n",
- "\n",
- "\n",
- "ax.set_xticks(theta)\n",
- "ax.set_xticklabels(deaths_headlines_w.index)\n",
- "plt.legend()\n",
- "plt.title(\"Deaths by week over years, Wales\")\n",
- "plt.savefig('deaths-radar-2020-wales.png')\n",
- "plt.show()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 118,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 720x720 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "# Radar plot code taken from example at https://stackoverflow.com/questions/42878485/getting-matplotlib-radar-plot-with-pandas#\n",
- "\n",
- "fig = plt.figure(figsize=(10, 10))\n",
- "ax = fig.add_subplot(111, projection=\"polar\")\n",
- "\n",
- "theta = np.roll(\n",
- " np.flip(\n",
- " np.arange(len(deaths_headlines_s))/float(len(deaths_headlines_s))*2.*np.pi),\n",
- " 14)\n",
- "l15, = ax.plot(theta, deaths_headlines_s[2015], color=\"#e47d7d\", label=\"2015\") # 0\n",
- "l16, = ax.plot(theta, deaths_headlines_s[2016], color=\"#afc169\", label=\"2016\") # 72 , d0e47d\n",
- "l17, = ax.plot(theta, deaths_headlines_s[2017], color=\"#7de4a6\", label=\"2017\") # 144\n",
- "l18, = ax.plot(theta, deaths_headlines_s[2018], color=\"#7da6e4\", label=\"2018\") # 216\n",
- "l19, = ax.plot(theta, deaths_headlines_s[2019], color=\"#d07de4\", label=\"2019\") # 288\n",
- "\n",
- "lmean, = ax.plot(theta, deaths_headlines_s['previous_mean'], color=\"black\", linestyle='dashed', label=\"mean\")\n",
- "\n",
- "l20, = ax.plot(theta, deaths_headlines_s[2020], color=\"red\", label=\"2020\")\n",
- "\n",
- "\n",
- "def _closeline(line):\n",
- " x, y = line.get_data()\n",
- " x = np.concatenate((x, [x[0]]))\n",
- " y = np.concatenate((y, [y[0]]))\n",
- " line.set_data(x, y)\n",
- "\n",
- "[_closeline(l) for l in [l19, l18, l17, l16, l15, lmean]]\n",
- "\n",
- "\n",
- "ax.set_xticks(theta)\n",
- "ax.set_xticklabels(deaths_headlines_s.index)\n",
- "plt.legend()\n",
- "plt.title(\"Deaths by week over years, Scotland\")\n",
- "plt.savefig('deaths-radar-2020-scotland.png')\n",
- "plt.show()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 119,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 720x720 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "# Radar plot code taken from example at https://stackoverflow.com/questions/42878485/getting-matplotlib-radar-plot-with-pandas#\n",
- "\n",
- "fig = plt.figure(figsize=(10, 10))\n",
- "ax = fig.add_subplot(111, projection=\"polar\")\n",
- "\n",
- "theta = np.roll(\n",
- " np.flip(\n",
- " np.arange(len(deaths_headlines_i))/float(len(deaths_headlines_i))*2.*np.pi),\n",
- " 14)\n",
- "l15, = ax.plot(theta, deaths_headlines_i[2015], color=\"#e47d7d\", label=\"2015\") # 0\n",
- "l16, = ax.plot(theta, deaths_headlines_i[2016], color=\"#afc169\", label=\"2016\") # 72 , d0e47d\n",
- "l17, = ax.plot(theta, deaths_headlines_i[2017], color=\"#7de4a6\", label=\"2017\") # 144\n",
- "l18, = ax.plot(theta, deaths_headlines_i[2018], color=\"#7da6e4\", label=\"2018\") # 216\n",
- "l19, = ax.plot(theta, deaths_headlines_i[2019], color=\"#d07de4\", label=\"2019\") # 288\n",
- "\n",
- "lmean, = ax.plot(theta, deaths_headlines_i['previous_mean'], color=\"black\", linestyle='dashed', label=\"mean\")\n",
- "\n",
- "l20, = ax.plot(theta, deaths_headlines_i[2020], color=\"red\", label=\"2020\")\n",
- "\n",
- "\n",
- "def _closeline(line):\n",
- " x, y = line.get_data()\n",
- " x = np.concatenate((x, [x[0]]))\n",
- " y = np.concatenate((y, [y[0]]))\n",
- " line.set_data(x, y)\n",
- "\n",
- "[_closeline(l) for l in [l19, l18, l17, l16, l15, lmean]]\n",
- "\n",
- "\n",
- "ax.set_xticks(theta)\n",
- "ax.set_xticklabels(deaths_headlines_i.index)\n",
- "plt.legend()\n",
- "plt.title(\"Deaths by week over years, Northern Ireland\")\n",
- "plt.savefig('deaths-radar-2020-northern-ireland.png')\n",
- "plt.show()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": []
- }
- ],
- "metadata": {
- "jupytext": {
- "formats": "ipynb,md"
- },
- "kernelspec": {
- "display_name": "Python 3",
- "language": "python",
- "name": "python3"
- },
- "language_info": {
- "codemirror_mode": {
- "name": "ipython",
- "version": 3
- },
- "file_extension": ".py",
- "mimetype": "text/x-python",
- "name": "python",
- "nbconvert_exporter": "python",
- "pygments_lexer": "ipython3",
- "version": "3.8.5"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
+++ /dev/null
-{
- "cells": [
- {
- "cell_type": "code",
- "execution_count": 11,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "import itertools\n",
- "import collections\n",
- "import json\n",
- "import pandas as pd\n",
- "import numpy as np\n",
- "from scipy.stats import gmean\n",
- "import datetime\n",
- "\n",
- "import matplotlib as mpl\n",
- "import matplotlib.pyplot as plt\n",
- "%matplotlib inline\n",
- "%load_ext sql"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 12,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "connection_string = 'postgresql://covid:3NbjJTkT63@localhost/covid'"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 13,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "'Connected: covid@covid'"
- ]
- },
- "execution_count": 13,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "%sql $connection_string"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 14,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "normalisation_date = '2020-08-01' # '2020-05-15'\n",
- "\n",
- "hospital_normalisation_date = {\n",
- " 'hospital_normalisation_date': normalisation_date\n",
- "}\n",
- "\n",
- "with open('hospital_normalisation_date.json', 'w') as f:\n",
- " json.dump(hospital_normalisation_date, f)\n",
- " \n",
- "hnd = pd.to_datetime(normalisation_date).strftime(\"%d %B %Y\")\n",
- "with open('hospital_normalisation_date.js', 'w') as f:\n",
- " f.write(f\"document.write('{hnd}');\")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 19,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "377 rows affected.\n",
- "Returning data to local variable res\n"
- ]
- }
- ],
- "source": [
- "%%sql res << select uk_data.date, uk_data.new_admissions, uk_data_7.new_admissions as admissions7\n",
- " from uk_data join uk_data_7 using (date)\n",
- " order by uk_data.date"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 20,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
- " .dataframe tbody tr th:only-of-type {\n",
- " vertical-align: middle;\n",
- " }\n",
- "\n",
- " .dataframe tbody tr th {\n",
- " vertical-align: top;\n",
- " }\n",
- "\n",
- " .dataframe thead th {\n",
- " text-align: right;\n",
- " }\n",
- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>date</th>\n",
- " <th>new_admissions</th>\n",
- " <th>admissions7</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <td>0</td>\n",
- " <td>2020-01-03</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>1</td>\n",
- " <td>2020-01-04</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2</td>\n",
- " <td>2020-01-05</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>3</td>\n",
- " <td>2020-01-06</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>4</td>\n",
- " <td>2020-01-07</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>372</td>\n",
- " <td>2021-01-09</td>\n",
- " <td>NaN</td>\n",
- " <td>4042.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>373</td>\n",
- " <td>2021-01-10</td>\n",
- " <td>NaN</td>\n",
- " <td>4148.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>374</td>\n",
- " <td>2021-01-11</td>\n",
- " <td>NaN</td>\n",
- " <td>4231.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>375</td>\n",
- " <td>2021-01-12</td>\n",
- " <td>NaN</td>\n",
- " <td>4310.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>376</td>\n",
- " <td>2021-01-13</td>\n",
- " <td>NaN</td>\n",
- " <td>4253.0</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "<p>377 rows × 3 columns</p>\n",
- "</div>"
- ],
- "text/plain": [
- " date new_admissions admissions7\n",
- "0 2020-01-03 NaN NaN\n",
- "1 2020-01-04 NaN NaN\n",
- "2 2020-01-05 NaN NaN\n",
- "3 2020-01-06 NaN NaN\n",
- "4 2020-01-07 NaN NaN\n",
- ".. ... ... ...\n",
- "372 2021-01-09 NaN 4042.8\n",
- "373 2021-01-10 NaN 4148.0\n",
- "374 2021-01-11 NaN 4231.0\n",
- "375 2021-01-12 NaN 4310.0\n",
- "376 2021-01-13 NaN 4253.0\n",
- "\n",
- "[377 rows x 3 columns]"
- ]
- },
- "execution_count": 20,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "hospital_data = res.DataFrame()\n",
- "hospital_data"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 475,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
- " .dataframe tbody tr th:only-of-type {\n",
- " vertical-align: middle;\n",
- " }\n",
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- " .dataframe tbody tr th {\n",
- " vertical-align: top;\n",
- " }\n",
- "\n",
- " .dataframe thead th {\n",
- " text-align: right;\n",
- " }\n",
- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>areaName</th>\n",
- " <th>areaType</th>\n",
- " <th>newAdmissions</th>\n",
- " <th>cumAdmissions</th>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>date</th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <td>2020-03-23</td>\n",
- " <td>United Kingdom</td>\n",
- " <td>overview</td>\n",
- " <td>1271</td>\n",
- " <td>4860</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-03-24</td>\n",
- " <td>United Kingdom</td>\n",
- " <td>overview</td>\n",
- " <td>1719</td>\n",
- " <td>6579</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-03-25</td>\n",
- " <td>United Kingdom</td>\n",
- " <td>overview</td>\n",
- " <td>2084</td>\n",
- " <td>8663</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-03-26</td>\n",
- " <td>United Kingdom</td>\n",
- " <td>overview</td>\n",
- " <td>1929</td>\n",
- " <td>10592</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-03-27</td>\n",
- " <td>United Kingdom</td>\n",
- " <td>overview</td>\n",
- " <td>2224</td>\n",
- " <td>12816</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-12-07</td>\n",
- " <td>United Kingdom</td>\n",
- " <td>overview</td>\n",
- " <td>1626</td>\n",
- " <td>233132</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-12-08</td>\n",
- " <td>United Kingdom</td>\n",
- " <td>overview</td>\n",
- " <td>1729</td>\n",
- " <td>234861</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-12-09</td>\n",
- " <td>United Kingdom</td>\n",
- " <td>overview</td>\n",
- " <td>1705</td>\n",
- " <td>236566</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-12-10</td>\n",
- " <td>United Kingdom</td>\n",
- " <td>overview</td>\n",
- " <td>1707</td>\n",
- " <td>238273</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-12-11</td>\n",
- " <td>United Kingdom</td>\n",
- " <td>overview</td>\n",
- " <td>1637</td>\n",
- " <td>239910</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "<p>264 rows × 4 columns</p>\n",
- "</div>"
- ],
- "text/plain": [
- " areaName areaType newAdmissions cumAdmissions\n",
- "date \n",
- "2020-03-23 United Kingdom overview 1271 4860\n",
- "2020-03-24 United Kingdom overview 1719 6579\n",
- "2020-03-25 United Kingdom overview 2084 8663\n",
- "2020-03-26 United Kingdom overview 1929 10592\n",
- "2020-03-27 United Kingdom overview 2224 12816\n",
- "... ... ... ... ...\n",
- "2020-12-07 United Kingdom overview 1626 233132\n",
- "2020-12-08 United Kingdom overview 1729 234861\n",
- "2020-12-09 United Kingdom overview 1705 236566\n",
- "2020-12-10 United Kingdom overview 1707 238273\n",
- "2020-12-11 United Kingdom overview 1637 239910\n",
- "\n",
- "[264 rows x 4 columns]"
- ]
- },
- "execution_count": 475,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "hospital_data = raw_data.dropna().set_index('date').astype({'newAdmissions': np.int64, 'cumAdmissions': np.int64}).sort_index()\n",
- "hospital_data"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 476,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<matplotlib.axes._subplots.AxesSubplot at 0x7f41899bac50>"
- ]
- },
- "execution_count": 476,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
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\n",
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- "<Figure size 432x288 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "hospital_data.newAdmissions.plot()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 477,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# data_by_day.newAdmissions.dropna()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 478,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
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- "execution_count": 478,
- "metadata": {},
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- "source": [
- "data_by_day = pd.read_csv('data_by_day_uk.csv', index_col='dateRep', parse_dates=True)\n",
- "data_by_day"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 479,
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- "data_by_day.loc['2020-07-03', 'cases'] = 576\n",
- "data_by_day"
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- },
- {
- "cell_type": "code",
- "execution_count": 480,
- "metadata": {
- "Collapsed": "false"
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- "data_by_day = data_by_day.merge(hospital_data[['newAdmissions', 'cumAdmissions']], how='outer',\n",
- " left_index=True, right_index=True)"
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- "cell_type": "code",
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- "data_by_day['deaths_m7'] = data_by_day.deaths.transform(lambda x: x.rolling(7, 1).mean())\n",
- "data_by_day['cases_m7'] = data_by_day.cases.transform(lambda x: x.rolling(7, 1).mean())\n",
- "data_by_day['admissions_m7'] = data_by_day.newAdmissions.transform(lambda x: x.rolling(7).mean())"
- ]
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- "execution_count": 482,
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- " <td>-66.0</td>\n",
- " <td>15366.142857</td>\n",
- " <td>409.571429</td>\n",
- " <td>343.603005</td>\n",
- " <td>380.495816</td>\n",
- " <td>126.560073</td>\n",
- " <td>114.322369</td>\n",
- " <td>1707.0</td>\n",
- " <td>238273.0</td>\n",
- " <td>1568.428571</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-12-11</td>\n",
- " <td>20964</td>\n",
- " <td>516</td>\n",
- " <td>1787783</td>\n",
- " <td>63082</td>\n",
- " <td>4386.0</td>\n",
- " <td>-17.0</td>\n",
- " <td>16235.571429</td>\n",
- " <td>424.142857</td>\n",
- " <td>420.064891</td>\n",
- " <td>392.657665</td>\n",
- " <td>104.437514</td>\n",
- " <td>111.703039</td>\n",
- " <td>1637.0</td>\n",
- " <td>239910.0</td>\n",
- " <td>1601.714286</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-12-12</td>\n",
- " <td>21672</td>\n",
- " <td>424</td>\n",
- " <td>1809455</td>\n",
- " <td>63506</td>\n",
- " <td>708.0</td>\n",
- " <td>-92.0</td>\n",
- " <td>17003.285714</td>\n",
- " <td>412.714286</td>\n",
- " <td>514.093837</td>\n",
- " <td>383.080949</td>\n",
- " <td>85.970563</td>\n",
- " <td>115.254067</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-12-13</td>\n",
- " <td>21501</td>\n",
- " <td>520</td>\n",
- " <td>1830956</td>\n",
- " <td>64026</td>\n",
- " <td>-171.0</td>\n",
- " <td>96.0</td>\n",
- " <td>17855.000000</td>\n",
- " <td>430.285714</td>\n",
- " <td>496.234012</td>\n",
- " <td>398.139480</td>\n",
- " <td>89.778614</td>\n",
- " <td>111.813286</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-12-14</td>\n",
- " <td>18447</td>\n",
- " <td>144</td>\n",
- " <td>1849403</td>\n",
- " <td>64170</td>\n",
- " <td>-3054.0</td>\n",
- " <td>-376.0</td>\n",
- " <td>18023.000000</td>\n",
- " <td>417.857143</td>\n",
- " <td>357.762938</td>\n",
- " <td>372.146458</td>\n",
- " <td>124.672307</td>\n",
- " <td>119.867072</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "<p>350 rows × 15 columns</p>\n",
- "</div>"
- ],
- "text/plain": [
- " cases deaths cases_culm deaths_culm cases_diff deaths_diff \\\n",
- "2019-12-31 0 0 0 0 NaN NaN \n",
- "2020-01-01 0 0 0 0 0.0 0.0 \n",
- "2020-01-02 0 0 0 0 0.0 0.0 \n",
- "2020-01-03 0 0 0 0 0.0 0.0 \n",
- "2020-01-04 0 0 0 0 0.0 0.0 \n",
- "... ... ... ... ... ... ... \n",
- "2020-12-10 16578 533 1766819 62566 4297.0 -66.0 \n",
- "2020-12-11 20964 516 1787783 63082 4386.0 -17.0 \n",
- "2020-12-12 21672 424 1809455 63506 708.0 -92.0 \n",
- "2020-12-13 21501 520 1830956 64026 -171.0 96.0 \n",
- "2020-12-14 18447 144 1849403 64170 -3054.0 -376.0 \n",
- "\n",
- " cases_m7 deaths_m7 deaths_g4 deaths_g7 doubling_time \\\n",
- "2019-12-31 0.000000 0.000000 0.000000 0.000000 NaN \n",
- "2020-01-01 0.000000 0.000000 0.000000 0.000000 NaN \n",
- "2020-01-02 0.000000 0.000000 0.000000 0.000000 NaN \n",
- "2020-01-03 0.000000 0.000000 0.000000 0.000000 NaN \n",
- "2020-01-04 0.000000 0.000000 0.000000 0.000000 NaN \n",
- "... ... ... ... ... ... \n",
- "2020-12-10 15366.142857 409.571429 343.603005 380.495816 126.560073 \n",
- "2020-12-11 16235.571429 424.142857 420.064891 392.657665 104.437514 \n",
- "2020-12-12 17003.285714 412.714286 514.093837 383.080949 85.970563 \n",
- "2020-12-13 17855.000000 430.285714 496.234012 398.139480 89.778614 \n",
- "2020-12-14 18023.000000 417.857143 357.762938 372.146458 124.672307 \n",
- "\n",
- " doubling_time_7 newAdmissions cumAdmissions admissions_m7 \n",
- "2019-12-31 NaN NaN NaN NaN \n",
- "2020-01-01 NaN NaN NaN NaN \n",
- "2020-01-02 NaN NaN NaN NaN \n",
- "2020-01-03 NaN NaN NaN NaN \n",
- "2020-01-04 NaN NaN NaN NaN \n",
- "... ... ... ... ... \n",
- "2020-12-10 114.322369 1707.0 238273.0 1568.428571 \n",
- "2020-12-11 111.703039 1637.0 239910.0 1601.714286 \n",
- "2020-12-12 115.254067 NaN NaN NaN \n",
- "2020-12-13 111.813286 NaN NaN NaN \n",
- "2020-12-14 119.867072 NaN NaN NaN \n",
- "\n",
- "[350 rows x 15 columns]"
- ]
- },
- "execution_count": 482,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "data_by_day"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 483,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "cases 687.000000\n",
- "deaths 31.000000\n",
- "cases_culm 277855.000000\n",
- "deaths_culm 39878.000000\n",
- "cases_diff -299.000000\n",
- "deaths_diff -40.000000\n",
- "cases_m7 954.285714\n",
- "deaths_m7 73.142857\n",
- "deaths_g4 59.325790\n",
- "deaths_g7 64.691830\n",
- "doubling_time 466.270719\n",
- "doubling_time_7 427.623359\n",
- "newAdmissions 393.000000\n",
- "cumAdmissions 124711.000000\n",
- "admissions_m7 366.000000\n",
- "Name: 2020-06-22 00:00:00, dtype: float64"
- ]
- },
- "execution_count": 483,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "data_by_day.loc['2020-06-22']"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 484,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<matplotlib.axes._subplots.AxesSubplot at 0x7f41899ed7d0>"
- ]
- },
- "execution_count": 484,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
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\n",
- "text/plain": [
- "<Figure size 432x288 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "data_by_day[['cases_culm', 'cumAdmissions', 'deaths_culm']].plot()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 485,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<matplotlib.axes._subplots.AxesSubplot at 0x7f418c0c2250>"
- ]
- },
- "execution_count": 485,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
- "image/png": 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9MXRLjG7xfVoCMcaYds7rVW6dvYJvtxfwr1+MYWh66/xeypqwjDGmnfvH/O/5YPVOfn/a0UwZcmSr7dcSiDHGtGOLN+3ln59uZFpmT65u5I2hGssSiDHGtFPFZZXc9t+V9EqJ4U9nDq7zShMtwRJIGzN9+nQefPDBw17v008/5auvvqp6XvOKvq3Bd9VgY0zr+Ov7a8neV8KDF44gNrL1u7QtgXQQNROIMaZje3vFdl5Z/CPXHteXsRl1X4S1pTTklrbPA2cAu1V1qFs2HbgWyHWr/U5V33eX3QVcjXNL21+r6jy3/BTgUSAUeFZV73PL+wCzgBTgG+BSVS0XkUhgJjAG2AtMU9Utde2jKe5fcj/r8tY1dTPVHJVyFHeMu6Peen/961+ZOXMmPXv2JC0tjTFjxrBx40Z+9atfkZubS0xMDM888wxHHXUU77zzDvfeey/l5eV06dKFl19+mZKSEp5++mlCQ0P5z3/+w+OPPw44lzV56KGH2LlzJw888AAXXHABOTk5TJs2jf3791NZWclTTz3FcccdFzCuDz/8kN/97nd4PB5SU1NZsGAB06dPJy4urur+H0OHDuXdd9+tunAjOMns7rvv5ogjjmDFihWcd955DBs2jEcffZSSkhLeeust+vVrnvsRGNMZzc7axh1vfMu4jBRu/Wnj72neVA05A3kBOCVA+cOqOtJ9+JLHYJx7pQ9x1/mniISKSCjwJHAqMBi4xK0LcL+7rQHAPpzEgDvdp6r9gYfderXu4/BedtuxbNkyZs2axfLly3nzzTdZutS51ft1113H448/zrJly3jwwQe58cYbATj22GNZtGgRy5cv5+KLL+aBBx4gIyOD66+/nt/+9resWLGiKiHk5OTwxRdf8O6773LnnXcCzo2mpk6dyooVK1i5ciUjR44MGFdubi7XXnstb7zxBitXruT1118/rNe1cuVKHn30UVatWsVLL73EDz/8wJIlS7jmmmuqEpwx5vAt25rH795cxbH9U5l59TiiwoN3+GvIPdEXikhGA7d3NjBLVcuAzSKyARjnLtugqpsARGQWcLaIrAVOAn7m1nkRmA485W5rulv+X+AJcXqIatvH1w2MMaCGnCm0hM8//5xzzz236n4aZ511FqWlpXz11VdceOGFVfXKysoAyM7OZtq0aeTk5FBeXk6fPrWPujjnnHMICQlh8ODB7Nq1C3DuJ3LVVVdRUVHBOeecU2sCWbRoEZMmTarafn33KanJd98S4JD7lnzyySeHtS1jjKOgpIIbX/6G9ORonvjZ6KAmD2haH8hNIvKtiDwvIsluWTrgf/3ubLestvIuQL6qVtYor7Ytd3mBW7+2bbVbNUdOeL1ekpKSWLFiRdVj7dq1ANx8883cdNNNrFq1in/961+UlpbWul3/+2v4Lpo5adKkqiv2XnrppcycOTPguoHuUwLV71UC1Lr/w7m3iDGmYf4+bx25hWU8cUnz3hiqsRqbQJ4C+gEjgRzgH255oDFk2ojyxmzrECJynYhkiUhWbm5uoCpBN2nSJObMmUNJSQmFhYW88847xMTE0KdPn6pmI1Vl5cqVgHNLV9+l2v0vhR4fH09hYWG9+9u6dStdu3bl2muv5eqrr671/hrHHHMMn332GZs3bwaouid6RkZG1TrffPNN1XJjTMta/uM+Xl78I5f/JINhPdrGnTkblUBUdZeqelTVCzzDwWaqbMD/riU9gB11lO8BkkQkrEZ5tW25yxOBvDq2FSjOGaqaqaqZaWlpjXmpLW706NFMmzaNkSNHcv7551f1X7z88ss899xzjBgxgiFDhvD2228DzjDfCy+8kOOOO67qNrgAZ555JnPmzGHkyJF8/vnnte7v008/ZeTIkYwaNYo33niDW265JWC9tLQ0ZsyYwXnnnceIESOYNm0aAOeffz55eXmMHDmSp556ioEDg9eBZ0xnUenx8rs5qzkiPor/mzIo2OEcpKr1PoAMYLXf825+87/F6ZMAp2N7JRAJ9AE24Yy6CnPn+wARbp0h7jqvAxe7808DN7rzvwKeducvBmbXtY/6XsOYMWO0pu++++6QMtM+2f+l6cieWbhRe9/xrn6waker7xvI0lqOqw0ZxvsqcAKQKiLZwN3ACSIyEqfpaAvwSzcZrRGR2cB3QCXwK1X1uNu5CZjnJpTnVXWNu4s7gFkici+wHHjOLX8OeMntJM9zk0id+zDGmI5me34JD83/gZOO6srUVrzOVUM0ZBTWJQGKnwtQ5qv/V+CvAcrfB94PUL6Jg01g/uWlwIU1y+vah2mc8ePHV43y8nnppZcYNmxYkCIyxvj8ee4avKr8+awhrX6pkvrY5dwNixcvDnYIxpgAlmzO46PvdnH71EH0TIkJdjiH6PSXMtFOck/4jsz+D01HpKo88OE6usZHctXE1r3KbkN16gQSFRXF3r177QDUjqkqe/fuJSoqKtihGNOs3l+1k6yt+7jl5AFER7TNi2106iasHj16kJ2dTVv9jYhpmKioKHr06BHsMIxpNvtLK/jzO2sYmp7AxWN7BTucWnXqBBIeHl7npUCMMSYYHp7/A7lFZTx7eSahIW2r49xfp27CMsaYtuaHXYXM/HorPxvXi+E9koIdTp0sgRhjTBuhqkyfu4a4yDBua0u/OK+FJRBjjGkjPly9k6827uW2KQNJjo0Idjj1sgRijDFtQGmFh3vfW8vR3RL42fjewQ6nQSyBGGNMGzA7axvb80v44+lHt+mOc3+WQIwxJsjKK708/elGxmYkc0y/LsEOp8EsgRhjTJDNWZ7NjoJSbj5pQJu73lVdLIEYY0wQeb3KM59vZkj3BI4bkFr/Cm2IJRBjjAmiz37IZcPuIq49rm+7OvsASyDGGBNUz3y+iSMTojh9eLdgh3LYLIEYY0yQrNlRwFcb93LFxAzCQ9vf4bj9RWyMMR3Es59vJjYilEvGtd0LJtbFEogxxgTB3qIy3lm5gwsze5IYHR7scBql3gQiIs+LyG4RWe1X9ncRWSci34rIHBFJcsszRKRERFa4j6f91hkjIqtEZIOIPCZub5GIpIjIfBFZ706T3XJx621w9zPab1uXu/XXi8jlzfmGGGNMa3hn5Q4qvcrF43oGO5RGa8gZyAvAKTXK5gNDVXU48ANwl9+yjao60n1c71f+FHAdMMB9+LZ5J7BAVQcAC9znAKf61b3OXR8RSQHuBsbj3Ev9bl/SMcaY9mLO8u0c3S2Bo45MCHYojVZvAlHVhUBejbKPVLXSfboIqPNuPiLSDUhQ1a/Vuf3fTOAcd/HZwIvu/Is1ymeqYxGQ5G5nKjBfVfNUdR9OMquZ4Iwxps3asLuQldkFnD86PdihNElz9IFcBXzg97yPiCwXkc9E5Di3LB3I9quT7ZYBHKGqOQDutKvfOtsCrFNbuTHGtAsPz19PdHgoZ49s34euJt2RUER+D1QCL7tFOUAvVd0rImOAt0RkCBDo1zH13Yi8tnUavC0RuQ6n+YtevdrnKAdjTMeydEse763K4bcnDyQtPjLY4TRJo89A3M7rM4Cfu81SqGqZqu5155cBG4GBOGcJ/s1cPYAd7vwut2nK19S12y3PBnoGWKe28kOo6gxVzVTVzLS0tMa+VGOMaRZer3Lvu99xZEIU105q/7fTblQCEZFTgDuAs1T1gF95moiEuvN9cTrAN7lNU4UiMsEdfXUZ8La72lzAN5Lq8hrll7mjsSYABe525gFTRCTZ7Tyf4pYZY0yb9vbK7azMLuD2qYOIiWhSA1CbUO8rEJFXgROAVBHJxhkBdRcQCcx3R+MuckdcTQLuEZFKwANcr6q+DvgbcEZ0ReP0mfj6Te4DZovI1cCPwIVu+fvAacAG4ABwJYCq5onIX4Clbr17/PZhjDFtUkm5hwc+/J5h6YmcO6p99334iNv61OFlZmZqVlZWsMMwxnRSjy1Yz0Pzf2D2L49hXJ+UYIfTYCKyTFUzAy2zX6IbY0wL272/lKc/28ipQ49sV8mjPpZAjDGmhT328XrKK73cccpRwQ6lWVkCMcaYFrRlTzGzlmzjknG9yEiNDXY4zcoSiDHGtKCH5v9AeGgIN5/UP9ihNDtLIMYY00LW7Chg7sodXHVsBl0TooIdTrOzBGKMMS3k7/O+JzE6nOsm9Qt2KC3CEogxxrSAxZv28un3udx4Qr92e7+P+lgCMcaYZqaqPDDve45IiOTyn2QEO5wWYwnEGGOa2ac/5LJs6z5+PXkAUeGhwQ6nxVgCMcaYZqSqPPq/9aQnRXPhmPZ7t8GGsARijDHN6IsNe1ixLZ8bT+xHRFjHPsR27FdnjDGtyHf20S0xigvG1Hmj1g7BEogxxjSTrzfuJWvrPm44oR+RYR2378PHEogxxjQDr1d58CNn5NVFmR2778PHEogxxjSD/y7L5psf8/m/KYM69Mgrf5ZAjDGmiQoOVPD/fbCWsRnJXDC64/d9+FgCMcaYJnp0wXoKSir481lDCQmRYIfTaiyBGGNME2zMLWLm11uYNrYXg7snBDucVtWgBCIiz4vIbhFZ7VeWIiLzRWS9O012y0VEHhORDSLyrYiM9lvncrf+ehG53K98jIisctd5TNwbrTdmH8YY05r+9t5aosJD+b8pA4MdSqtr6BnIC8ApNcruBBao6gBggfsc4FRggPu4DngKnGQA3A2MB8YBd/sSglvnOr/1TmnMPowxpjV9vj6XBet2c9NJ/UmNiwx2OK2uQQlEVRcCeTWKzwZedOdfBM7xK5+pjkVAkoh0A6YC81U1T1X3AfOBU9xlCar6taoqMLPGtg5nH8YY0yoqPV7ufXctvVJiuHJiRrDDCYqm9IEcoao5AO60q1ueDmzzq5ftltVVnh2gvDH7MMaYVjFr6Ta+31XI7047qlP8aDCQluhEDzQEQRtR3ph9VK8kcp2IZIlIVm5ubj2bNMaYhikuq+Th+T8wvk8KU4ccGexwgqYpCWSXr9nIne52y7MB/59h9gB21FPeI0B5Y/ZRjarOUNVMVc1MS0s77BdojDGBvPj1FvYWl3PHqUfhjvnplJqSQOYCvpFUlwNv+5Vf5o6UmgAUuM1P84ApIpLsdp5PAea5ywpFZII7+uqyGts6nH0YY0yLKiytYMbCTZw4KI3RvZLrX6EDC2tIJRF5FTgBSBWRbJzRVPcBs0XkauBH4EK3+vvAacAG4ABwJYCq5onIX4Clbr17VNXXMX8DzkivaOAD98Hh7sMYY1rai19tIf9ABb85ufMN261JnIFPHV9mZqZmZWUFOwxjTDu2v7SCY+/7mHF9Unj28rHBDqdViMgyVc0MtMx+iW6MMQ307y+2sL+00s4+XJZAjDGmAQpKKnj2i01MGXwEQ9MTgx1Om2AJxBhjGuC5LzZTaGcf1VgCMcaYeuwuLOW5zzdx6tAjO90FE+tiCcQYY+rxj3k/UO7x8v9OOSrYobQplkCMMaYOq7cXMHvZNi4/JoM+qbHBDqdNsQRijDG1UFX+8u53JEWHc/PkAcEOp82xBGKMMbWYt2YXizfncetPB5IYHR7scNocSyDGGBNAWaWHv72/lgFd47hkXK9gh9MmWQIxxpgAXvxqCz/mHeCPZwwmLNQOlYHYu2KMMTXsKSrj8QUbOHFQGpMG2pW8a2MJxBhjanho/g8cqPDw+9MHBzuUNs0SiDHG+Fm3cz+zlvzIpRN6079rXLDDadMsgRhjjMs3bDc+KpzfnGzDdutjCcQYY1wL1u7myw17+c3JA0iKiQh2OG2eJRBjjAHKK7387f219E2L5RcTegc7nHbBEogxxgD/WbSVTXuK+cPpRxNuw3YbxN4lY0ynV1bp4anPNnJM3y6cOKhrsMNpNxqdQERkkIis8HvsF5HfiMh0EdnuV36a3zp3icgGEfleRKb6lZ/ilm0QkTv9yvuIyGIRWS8ir4lIhFse6T7f4C7PaOzrMMaYt1fsILewjBtO6IeIBDucdqPRCURVv1fVkao6EhgDHADmuIsf9i1T1fcBRGQwcDEwBDgF+KeIhIpIKPAkcCowGLjErQtwv7utAcA+4Gq3/Gpgn6r2Bx526xljzGHzeJUZCzdxdLcEjhuQGuxw2pXmasKaDGxU1a111DkbmKWqZaq6GdgAjHMfG1R1kyyKSmkAACAASURBVKqWA7OAs8X5GnAS8F93/ReBc/y29aI7/19gstjXBmNMI7yetY0Nu4u46cT+dvZxmJorgVwMvOr3/CYR+VZEnheRZLcsHdjmVyfbLautvAuQr6qVNcqrbctdXuDWr0ZErhORLBHJys3NbcrrM8Z0QIWlFTz40fdk9k7mtGFHBjucdqfJCcTtlzgLeN0tegroB4wEcoB/+KoGWF0bUV7XtqoXqM5Q1UxVzUxLs+vZGGOqe+DD79lbXM6fzhxsZx+N0BxnIKcC36jqLgBV3aWqHlX1As/gNFGBcwbR02+9HsCOOsr3AEkiElajvNq23OWJQF4zvBZjTCexZHMeLy3aypU/6cPwHknBDqddao4Ecgl+zVci0s1v2bnAand+LnCxO4KqDzAAWAIsBQa4I64icJrD5qqqAp8AF7jrXw687bety935C4CP3frGGFOv/aUV3Dp7BT1Torlt6sBgh9NuhdVfpXYiEgP8FPilX/EDIjISp0lpi2+Zqq4RkdnAd0Al8CtV9bjbuQmYB4QCz6vqGndbdwCzROReYDnwnFv+HPCSiGzAOfO4uCmvwxjTeagqf3xrNTkFpcz+5THERDTpMNipSWf54p6ZmalZWVnBDsMYE2SvLP6R381Zxa0/Hciv7T7n9RKRZaqaGWiZ/RLdGNNprMouYPrcNUwamMZNJ/YPdjjtniUQY0ynUHCgghtfWUZqXASPTBtJSIiNumoqa/wzxnQK099ZQ05+KbOvP4aUWLtUe3OwMxBjTIf3+fpc5izfzo0n9GN0r+T6VzANYgnEGNOhlVZ4+MNbq+mbGsuN1u/RrKwJyxjToT22YD1b9x7glWvHExUeGuxwOhQ7AzHGdFirtxcwY+EmLhjTg5/0syvtNjdLIMaYDqmk3MOvZy0nNS6SP5x+dLDD6ZCsCcsY0+F4vcpt/13JptxiXr5mPEkxNuqqJdgZiDGmw7n/w3W8920OvzvtKCb2t6arlmIJxBjToby0aCv/WriJSyf05trj+gY7nA7NEogxpsNYsHYXd7+9mslHdeVuu8dHi7MEYozpEL7NzuemV5YzpHsij/9sFGGhdnhrafYOG2PavW15B7jqhSxSYiN47opMu0R7K7F32RjTrlV4vNz0yjeUVXp49drxdI2PCnZInYYlEGNMu/bExxtYmV3AP38+mgFHxAc7nE7FmrCMMe3W/O928djH6zlvVDqnDetW/wqmWVkCMca0S2t2FHDLrOUMS0/kr+cOC3Y4nVKTE4iIbBGRVSKyQkSy3LIUEZkvIuvdabJbLiLymIhsEJFvRWS033Yud+uvF5HL/crHuNvf4K4rde3DGNPx7dpfytUvZJEYHc6zl2USHWEXSQyG5joDOVFVR/rdN/dOYIGqDgAWuM8BTgUGuI/rgKfASQbA3cB4YBxwt19CeMqt61vvlHr2YYzpwPYWlfGLZxezv7SC5y4fS9cE6zQPlpZqwjobeNGdfxE4x698pjoWAUki0g2YCsxX1TxV3QfMB05xlyWo6teqqsDMGtsKtA9jTAelqlz/n2X8mHeA5y4fy+DuCcEOqVNrjgSiwEciskxErnPLjlDVHAB32tUtTwe2+a2b7ZbVVZ4doLyufVQRketEJEtEsnJzc5vwEo0xbcG8NbtYumUf088awjH9ugQ7nE6vOYbxTlTVHSLSFZgvIuvqqBvougLaiPIGUdUZwAyAzMzMBq9njGl7yio9PPjR9/RLi+XCMT2CHY6hGc5AVHWHO90NzMHpw9jlNj/hTne71bOBnn6r9wB21FPeI0A5dezDGNPBVHq8/GbWCjbsLuKuU4+2y5S0EU36XxCRWBGJ980DU4DVwFzAN5LqcuBtd34ucJk7GmsCUOA2P80DpohIstt5PgWY5y4rFJEJ7uiry2psK9A+jDEdyNIteZzzzy/5YPVO/njGYE4efESwQzKupjZhHQHMcUfWhgGvqOqHIrIUmC0iVwM/Ahe69d8HTgM2AAeAKwFUNU9E/gIsdevdo6p57vwNwAtANPCB+wC4r5Z9GGM6gO35Jdz3wTreWbmDbolRPH7JKM4c0T3YYRk/4gxu6vgyMzM1Kysr2GEYY+pxoLySGQs38fRnG1GF64/vxy+P72sXSAwSEVnm9xONaux/xBjTJmzYXcSTn2zgw9U7KanwcMbwbtx56lH0SI4JdmimFpZAjDFB9ePeAzy6YD1zlmcTHR7KeaPTOX9MD0b3sotLtHWWQIwxQZFTUMLjH29g9tJthIYI1xzXl19O6kuXuMhgh2YayBKIMaZV7cgv4dnPN/OfxVtRVX42vhe/OrE/R9glSdodSyDGmBZXcKCCed/t5L1vc/h8fS4iwgWje3Dz5P7Wx9GOWQIxxrQIX9J4f1UOX27YQ4VHSU+K5oYT+nHx2F70TLHE0d5ZAjHGNJs9RWV8sm4376/K4Qu/pHHVxD6cNqwbw3sk4v5uzHQAlkCMMY22u7CUxZvyWLRpL4s357FhdxEA6UnRXDmxD6db0ujQLIEYYxpsZ0EpizfvdRLGpjw27SkGIDYilLF9Ujh/dA8m9u/CsHRLGp2BJRBjTK2255eweNPeqjOMrXsPABAfGcbYPilcPK4n4/t0YUj3BLvAYSdkCcSYTqzS42V3YRk5BSXsyC8le18Jm3KL2LSnmM17iskrLgcgMTqcsRkpXDqhNxP6duHobgmEhtgZRmdnCcSYDkhV2V9SSW5RKbsLy8h1H7sLy9iRX8KO/BJyCpxlHm/16+F1jY+kT2osU4ccyaAj4hjXpwtHHRlPiCUMU4MlEGPaiQqPlz1FZezeX8be4jLyiivYV1xO3oFy9hWXs7e4vCpR5BaVUV7pPWQbkWEhdE+KpltiFD/pl0r3pCi6JUbTLSmK7onRpCdHExdphwXTMPZJMSYIyiu95JeUk3/ASQL7DlSQf8CdlpSTX1zBvgPu8gPl5LmJItDFs8NDheSYCFJiI0iLj6RvWixp8ZF0jY8iLT6StLhIuiZEkhYfSXxkmHVum2ZjCcSYw+D1KgcqPBSXVVJYWklxWSUlFR5KKjyUlrvTCi8lFR4KSvySgl8yyD9QQVFZZa37iAgNISkmnOSYCJJiwumXFkdmRgRd451E0DU+itS4CLrERpIcG06cJQUTJJZATIfn8SrF5c7Bvqi0kqKySorLPO7Uee6bd557Dikv8q1bXhnwLCAQEUiICic5JpykmAhS4yIY0DWORDc5+Mp9iSI51imLDg+1hGDaBUsgpk1SVQrLKtlfUsH+kkoKSyvYX+o8LyytcL79l3s4UO4kgwPl7vMyZ1pcVlm1rKTC06B9hoYIsRGhxEWGERcVRmxkGPFRYXRLjKoqi3encZHhTp2IUKIjQokOPziNCg8lMiyE+KhwG6lkOrRGJxAR6QnMBI4EvMAMVX1URKYD1wK5btXfqer77jp3AVcDHuDXqjrPLT8FeBQIBZ5V1fvc8j7ALCAF+Aa4VFXLRSTS3fcYYC8wTVW3NPa1mJblSwZ5RU5Hr6/j19e84/QB+M87TT6V3rq/6keEhRAbEUpMRBixkQenybERTnlkGDHhocRGhlVLCnGRocRGHEwQvuWRYSH2zd+Yw9CUM5BK4P9U9RsRiQeWich8d9nDqvqgf2URGQxcDAwBugP/E5GB7uIngZ8C2cBSEZmrqt8B97vbmiUiT+Mkn6fc6T5V7S8iF7v1pjXhtZjDVFbpYU/RwVE/e4rK2FNYxt5it8PXHRWUV1zGvuIKyj2HjggCpwM4yW3OSY6JoF9aXFVTTnJMBInR4SREh5EQFU581MH5uKgwwu2Ha8YEVaMTiKrmADnufKGIrAXS61jlbGCWqpYBm0VkAzDOXbZBVTcBiMgs4Gx3eycBP3PrvAhMx0kgZ7vzAP8FnhAR0c5yg/cWVuHxsrPA+VHZ9qrfDDi/G9hZUEpOQSkFJRUB142PDCMlzmnX754YxdDuCaTERdAlNoKU2Eh36jySYqwD2Jj2rFn6QEQkAxgFLAYmAjeJyGVAFs5Zyj6c5LLIb7VsDiacbTXKxwNdgHxVrQxQP923jqpWikiBW39Pc7yezuBAeSWb3V8b/5h3gB/3HnCmeQfYkV9Czdaj1LhIuiVG0TMlhrEZKRzhDgtNjTs47RIXQWRYaHBekDGm1TU5gYhIHPAG8BtV3S8iTwF/AdSd/gO4Cgj0NVOBQO0QWkd96lnmH9t1wHUAvXr1qvuFdGAer7JhdxFZW/NYtnUfy7buq7qmkU9qXAQ9U2IY0zuZc0am0zMlmvSkGNKTnR+dRYVbYjCmw/B6oTgX8n+E/K2Qtxn2bYa8TVC6H278qkGbaVICEZFwnOTxsqq+CaCqu/yWPwO86z7NBnr6rd4D2OHOByrfAySJSJh7FuJf37etbBEJAxKBvJrxqeoMYAZAZmZmp2jeKq3wsG5nIau2F7BmewFrc/bz/a5CSiucPojUuAjG9E7mosye9EmNJaNLLL27xBBrvz42puPwVELhDsjfBgXb3OmPbsLYBgXZ4Cmrvk7ckZDSF7qPdNYPrf+Y0JRRWAI8B6xV1Yf8yru5/SMA5wKr3fm5wCsi8hBOJ/oAYAnO2cQAd8TVdpyO9p+pqorIJ8AFOCOxLgfe9tvW5cDX7vKPO2v/R3mll2Vb9/HpD7v5Yv0evt9ZWDV6KSkmnMHdEvjZuN4MTU9gTO9keqXEWJ+DMe1dWaGTBAqynQThm/clh/3bQWsMX4/tCkk94chhcNRpkNQbEntCUi9IzoCIw79DZFO+dk4ELgVWicgKt+x3wCUiMhKnSWkL8EsAVV0jIrOB73BGcP1K1XmFInITMA9nGO/zqrrG3d4dwCwRuRdYjpOwcKcvuR3xeThJp1PYvb+UrK37WJuznzU79rN4016Kyz2EhQhjeifzy+P7Miw9kSHdE+mRHG3Jwpj2qLQA9m50mpXy/RJEQbZzJlFaUL1+SBgkdHcSQu9j3MTQ0532hsR0CI9u9jCls3xxz8zM1KysrGCHcdi8XuXb7QV8vG43H6/bxert+wEIEeibFsf4PikcPzCNn/RPtYvgGdOelBU6fQ57N0LeRti7yZ1uhAM1xgNFJTrJILEnJPbwe7jP44+EkJbppxSRZaqaGWiZHXHaoJ0FpXy5YQ9fbtzDwh/2sKeojBCBUb2SuX3qII7tn8qgI+OtY9uYtkwVSvY5ZxH7tjgPX5LI2wRFu6rXj+8GKf2c5qWUfk5/RJd+TpKISgjGK6iXJZA2orC0gne/zeH1rG1882M+AMkx4Uzsn8rko7ty/MCupMRGBDlKY0w1Jflux7Tfo2Ab7NvqJIzywur1445wksOAnzrTLm6iSOkLEbFBeQlNYQkkiLxeZdHmvbyelc0Hq3MorfAyoGsc/++UQRw/MI2jj0ywm/gYEyy+oa4F2w7tqPYli7IafRHhsU6ndFIv6P0Tp3M6ubczTeoNkXHBeCUtxhJIK1NVfthVxHurcnjzm2yy95UQHxXG+aN7cGFmT0b0SLSOb2Nakq9pqWg3FO92kkRRrjO/P+dgsti/HTzl1deNiHc6p5N6OZ3VvmSR1MtJENHJzmWYOwlLIK3k+52FvLNyB++vzmFTbjEiMLFfKrdPHcTUIUdaf4YxjeGphLL9TkIoLYDSfGdaku/Ml+w7mByK3GRRnAveAPdjkVCniSmpJ6SPhsFnHdpxHZ3U+q+xDbME0oLKK718sDqHl77eStbWfYSGCBP6pnDVxD5MGXIEXeOjgh2iMc1L1fnWXlnmTktrzJc7P2CrdJ9Xm3fXqyyDyhIoPwDlRVBe7Pfwe15WeGgfQ00h4RDXFWLTnJFKRw6HuDTnNxG+8riuzvPoZAixC3QeDksgLWBnQSmvLN7KK0u2saeojIwuMfzh9KM5d1Q6XeIigx2eAad921sBngpn6vWAet2p5+DzqjJvjXKPsw2tsZ56A5fXu71Adf32UW1ZgHL/7R5St5Zy1YbXres1+T/3Br7I5mGTEKe5KCLW7xHnnCH4P49OgqgkZ5jrIfOJEB7TqZqUWpslkGZSXFbJh6t38taK7Xy5YQ8KnDSoK5ce05tJA9I6V2e41+t+2yyFihK/+VLnm2XVvH8d91uqt/LgQd1TUX2+2rLKWurUWOZbp+a2NfDl5ds0CXXG+lebhvg9DwlQVltdt35IKEh4/XWr1pEAdf22FRrhPMIiITTSmYZFumVREBZRozzSKQuLOjgfGgmh4XbgbwcsgTTRup37+c+irby1fAdFZZX0SI7mxhP6M21sT3qmHP6lAVqV1+M0A/ge5UXVp2VFThNBWZFb5k7Li5yDvu/AX1niJgR3vmbHY2OEhDsHEd+0aj7Mb1mYu8w9AEXGB6jjPg+NqH39EHc+JMTvIBwaYD4kwME3pJa6oQG256sfUmMb9W0v1JpWTJtkCaQRSso9fLA6h1cW/0jW1n1EhIVwxvBuXDKuF5m9k1t3FJWn8mBn4YE8Z1rim/qVleY7V9ksK3Q6HX2JoiFCwp3hhxHx7jTOuSxCdLL7TTIawqPcb5hRzrIGlbvPfeW+g3xIqH37NKYdsATSQBUeL0s25/HeqhzeWbGDwrJKMrrE8PvTjuaCMT1Ibq4f+ak6o0iKcw8OMyxyR45UzbujSQ7sO3Qcuj8JcQ7y0clu23CCc02cyAT3Ee+URcY7ScF/6p8wwqzfxhhzKEsgdSit8LDwh1w+XL2TBet2U1BSQVR4CKcN7cZFY3syvk/K4Z1teL3O5Qv2b3fHmm93x5tnO/NFu5zEELAJSCA21RktEpsK6ZkQ08VJDjEpbqJIgZjkg/ORCdb0YYxpMZZAAli3cz8vfrWVuSu2U1zuITE6nMlHd2XqkCOZNCCN6IhafrPh9UDhzoM3afFN97nz+3ccOkolIg4S0p0zg7SjDh1i6BtmGNOlxS6WZowxjWEJxFXp8TL/u128+PUWFm3KIzIshLNGdOfMEd05pl8XwkPdb/Jer5MQ9vwAuetgz/qDSaIg+9AEEXek8yvVHmPdyyv3gATflTTTnaYla+83xrQxqkploB9c+unUCURVWbEtn/nf7eKt5dvZUVBKelI0d556FNPGpJNcmg25i+HLddUTRoXf7WBjUp3r3HQfBUPO8busQYaTJMLtx4LGmKZTVSq8FZRUllDmKaO0spRSTymllaWUecrqLq8sqyor9ZRWPffVL/eUVz0v85RR7imn3FOOHnqn8Go6ZQLZkV/CG8uyeXP5djbvKSY0RDipTzSPji9nTMhqQrY9CV8trd5BndAD0gbBmInONHWQM41JCd4LMca0KI/XQ4W3ggpvBZXeyqr5Ck+N5/7LPQHKfOtoJRWeCsq95VUHeP+p/0G96oDvN1/fAT0QQYgKiyIqNMqZuvORoZFEhkYSHxNfNe//iAiNICI0gl869wQMqNMkEFX4YFUOs5ZuY+H63aSTy7QjdnDqoB/pU7KG0B1rYLsXEOg6GIaeBz0yoevRkDrQGZnUAakqXvXiUY/z8DrTSm8lHvXgVW/VvMfroVIrnfruvK9+oHX9yzxeD4qiqvj++fbvH0vNZf5/MP7P61zmtx//5YGWKYqvWtXea9St2kbNZTXXrbGs5rrVXqNf3UPiC1DWpNevh263Ie+r7/XV3G5dr7/Z3lf/uA/jvWno58p/377PeKCDvbeFfnAaIiFEhkY6B/KwyIMH9LBIokOjSYhJcJYHOPBHhTl1o8Oiq+r4z9esEx4S3qSfFtSVQDrNHQmT0vvoL684nxMjv2di2Driy3c7CyLinETRczz0HOf0VUQltnp8ld5KiiuKOVBxwJlWHjj4vNKZ+k4tyzxllHudU0zf6WfNZTW/CVWbd78Z+ZKAOZTg/MGJCL5/7oKDy5Cq5b66/utXW+asWOuyQOtWzQdY139ZzXWrxe1Xt6pOjddUVafmPv3q1lw30Ouo6705ZN0A702g96O+ZYe8NzWX1/e+unGHh4QffISGExYSVr0sxC0LDVDmrlPtuf+25ND1QtvRgJgOe0dCETkFeBTnXurPqup9tdXtrz9yf/gzaHQaknEs9J4IvSY4ZxtN+M/0qpcDFQcoLC9kf/l+8svyKSgrIL8sn6KKompJobiiuCoZ1EwUZZ6yw9pvREgEkWHVTzf9p3HhcYRHVv8g1/xQh4WEERoSSoiEECbOfKiEEhYSRoiEVM2HSmjVMt+8r/7hrBsiB4cUN+YPvbYDXZ0HyVoOGLUdJO1S+sY0XLtNICISCjwJ/BTIBpaKyFxV/S7gCok94VfzkNSBtY56qvRWUlheWJUE9pXuI78sn31lzjS/NN+Z+h6l+RSUF9R5misIseGxxITHEBseS2xYLLHhsSTGJVZ7XrXcN++Wx4bHEhMWQ3R4dNVpblhImB3ojDFB124TCDAO2KCqmwBEZBZwNhAwgewNER7P/ojCTW9QWF5Y9dhfvr9q/kDlgUCrAs4pbnJkMolRiSRHJtM/qT9JkUkkRSaREJFAQmQCCREJJEYmOo+IROIj4okOi7aDvTGmQ2rPCSQd2Ob3PBsYX1vlnQd28sy3zxAfEU98RDwJEQnER8TTO6F3VZmvPDHSSRJJUU6CSI5MtkRgjDE1tOcEEuhoXm1EgIhcB1wH0LNXT1ZctqJaO7wxxpjGa89H02ygp9/zHsAO/wqqOkNVM1U1s2taV0sexhjTjNrzEXUpMEBE+ohIBHAxMDfIMRljTKfRbpuwVLVSRG4C5uEM431eVdcEOSxjjOk02m0CAVDV94H3gx2HMcZ0Ru25CcsYY0wQWQIxxhjTKJZAjDHGNIolEGOMMY3Saa7GKyKFwPe1LE4ECmpZ1hp1UoE9LbCv5txWzRhbcl+HW6e22Fr7Paqtjn98wf6s1Vanrv/fYL+PgWJrS+9jKlDRgO20Zky+OuHU/XfbkO0MUtXA97NQ1U7xALLqWDajAeu3WJ2asTXXvpo57lrfv2C/j7XFFoT3KGAd//iC/VmrrU5T/z5aMu5AsbWl9xHICvZ7VFud+v5um/q3b01Yjnc6aJ3m3lZr7au9vkeduU5r76891mnt/bX4335nasLK0lpuihJsbTk2n7YcY1uODdp+fNC2Y2zLsUHbjq85YqtrG53pDGRGsAOoQ1uOzactx9iWY4O2Hx+07RjbcmzQtuNrjthq3UanOQMxxhjTvDrTGYgxxphmZAnEGGNMo3S4BCIi54qIishRwY4FwI3lJb/nYSKSKyLvBjOuQESkKNgx1Ke+GEXkUxFp9Q7Ntva5q0lEfi8ia0TkWxFZISK13r0zGESkh4i8LSLrRWSjiDzq3qahtvq/EZGYVohLReQffs9vE5HpLb3fhhIRj/v/uUZEVorIrSKtd+OjDpdAgEuAL3DuD9JgIhLaMuFQDAwVkWj3+U+B7S20LxM8jfrctQYROQY4AxitqsOBk6l+O+igEude0W8Cb6nqAGAgEAf8tY7VfgO0eAIByoDzRCS1FfbVGCWqOlJVh+AcW04D7m6tnXeoBCIiccBE4GrcP2QROUFEForIHBH5TkSe9mVoESkSkXtEZDFwTAuG9gFwujt/CfCqX8zjROQrEVnuTge55Z+LyEi/el+KyPAWjNG3nxP8z45E5AkRucKd3yIifxaRb0RkVbC+bdcVY5Diqe1zV9v7eJqIrBORL0TksVY4G+0G7FHVMgBV3aOqO0RkjIh8JiLLRGSeiHRz4/tURB5xP4+rRWRcC8d3ElCqqv924/MAvwWuEpFYEXnQ/bx9KyI3i8ivge7AJyLySQvHVokzCum3NReISG8RWeDGtUBEeolIovt34jvGxIjINhEJb+E4UdXdOLfwvkkcoSLydxFZ6sb4S7/Y/5/7nq4Ukfsau88OlUCAc4APVfUHIE9ERrvl44D/A4YB/YDz3PJYYLWqjlfVL1owrlnAxSISBQwHFvstWwdMUtVRwJ+Av7nlzwJXAIjIQCBSVb9twRgbao+qjgaeAm4LdjBtRG2fu0O4n4F/Aaeq6rFAWivE9xHQU0R+EJF/isjx7gHtceACVR0DPE/1b/yxqvoT4EZ3WUsaAizzL1DV/cCPwDVAH2CUe/b0sqo+hnP76hNV9cQWjg3gSeDnIpJYo/wJYKYvLuAxVS0AVgLHu3XOBOapakUrxImqbsI5rnfF+UJToKpjgbHAteLcwfVUnM/seFUdATzQ2P11tARyCc7BGnd6iTu/RFU3ud9sXgWOdcs9wBstHZR74M9w46l5A6xE4HURWQ08jPPHBPA6cIb7h34V8EJLx9lAb7rTZTivydT+uQvkKGCTqm52n79aR91moapFwBicb6e5wGvAL4GhwHwRWQH8Aejht9qr7roLgQQRSWrBEAUI9HsCASYBT6tqpRtPXgvGEZCbzGYCv66x6BjgFXf+JQ4eV14DprnzF7vPW5O40ynAZe7/72KgCzAApwnz36p6AJr2nrbrOxL6E5EuOKfCQ0VEcW5zqzgH7JofTt/zUjeptIa5wIPACTj/kT5/AT5R1XNFJAP4FEBVD4jIfOBs4CKgtTqGK6n+xSKqxvIyd+oheJ+f+mJsNXV87uYSOEYhCNzP+afApyKyCvgVsEZVa2u6re1vpiWsAc73LxCRBKAnsKmF991QjwDfAP+uo44vzrnA/yciKTiJ++MWjq2KiPTF+dvcjfNZu1lV59WocwrN9J52pDOQC3BOJ3uraoaq9gQ243wrGOeeuoXgfDNoyeaq2jwP3KOqq2qUJ3KwU/2KGsueBR4DlrbiN6+twGARiXRP2Se30n4PR1uKsbbPHQSOcR3Q1/2yAAe/qbYYERkkIgP8ikYCa4E0cTrYEZFwERniV2eaW34sTjNIQ64021gLgBgRuczdZyjwD5yz7o+A60UkzF2W4q5TCAS+QmwLcP/+ZuM0C/l8xcFBEz/HPa64Z3xLgEeBd1vrS6qIpAFPA0+o8wvxecANvv4XERkoIrE47+lV4o5i83tPD1uHOQPBaTao2Rn0BnADo/xnygAAA2VJREFU8LW7bBiwEJjTuqGBqmbjfKBqegB4UURupcY3FVVdJiL7qftbT7Nw/0DLVHWbiMwGvgXWA8tbet8N1UZjrO1z9zOcA061GFW1RERuBD4UkT04B5qWFgc87jZDVQIbcJqzZgCPuQkuDOdb9hp3nX0i8hWQgNOE2mJUVUXkXOCfIvJHnC+27wO/w/k2PRD4VkQqgGdw+h5mAB+ISE4r9YOAk9Ru8nv+a+B5Ebkdp2nwSr9lr+E0Q5/QwjFFu01U4Tj/ty8BD7nLnsVpZv5GRMSN8RxV/VCcATpZ8v+3d/egUURRFIDPQbDSIjYSf9IJVgZBFMRCOxEhNhYikkIEOy0ERS0srbSyEH8grZDCtCkUBFEiKRQNahphIViYgFoF8VjcO+wisrgjs+Nbzlcts7O7bwLL3ffm3RNyHd2/9cBGPsqE5GEAlyQdb3ssgyK5DbHssFvSz4Y/axLAPUlN77iprYQx/g2SmyR9zy/1HQAfJd1ue1wVkk8R35lXbY/F/m+jtIQ1UnI6/xLAtSEUj/OIm6bXm/ycf1HCGAdwLn81vkUsYd5teTxmtYz8DMTMzJpR7AyE5E6ST0guMdr4L+TxLSTnGZEI8yTH8vjpbKZ5zWiQmux5r6Mk35NcJnmlrWsyMytJsTMQRtfsuKRFkpsRfQknEDuZViXdzGIwJukyyYMAliStZSPNDUkHcsfHB0QMQAfAAoBTkt61cV1mZqUodgYiaUXSYj7+htiWuB3RNzGTp80gigokPZe0lsdfoNs0tR/AcjYariMawaaGcxVmZuUqtoD0yj31exE3nbdKWgGiyCBa+n93FpFPBUTR6Q2W6+QxMzPro/g+EEaQ3SyAi5K+xs7IvucfQRSQKnbgTy8oc13PzGyIip6BZIflLCJgrcpo+sxuqug4oqW/On8PorlmStKXPNxBRCZUdiCC2szMrI9iC0g2YT1A3Bi/1fPUHIDpfDwN4HGeP4EIAjyTqamVBQC7MupkIyKaYK7p8ZuZla7kXViHADwD8AZA1Wh3FXEf5BGACUQc9ElJqyTvIwLbPuW5PyTty/c6hohx2ADgoaR+/8jGzMxQcAExM7N2FbuEZWZm7XIBMTOzWlxAzMysFhcQMzOrxQXEzMxqcQExM7NaXEDMzKwWFxAzM6vlFwMXjqR50bHfAAAAAElFTkSuQmCC\n",
- "text/plain": [
- "<Figure size 432x288 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "data_by_day.loc['2020-04-01':, ['cases_culm', 'cumAdmissions', 'deaths_culm']].plot()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 486,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<matplotlib.axes._subplots.AxesSubplot at 0x7f418b055e90>"
- ]
- },
- "execution_count": 486,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 432x288 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "data_by_day.loc['2020-03-01':'2020-07-02', ['cases', 'newAdmissions', 'deaths']].plot()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 487,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<matplotlib.axes._subplots.AxesSubplot at 0x7f4189834d90>"
- ]
- },
- "execution_count": 487,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 432x288 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "data_by_day.loc['2020-03-01':'2020-07-02', ['cases_m7', 'admissions_m7', 'deaths_m7']].plot()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 488,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "data_by_day['cases_m7n'] = data_by_day.cases_m7 / data_by_day.cases_m7.max()\n",
- "data_by_day['deaths_m7n'] = data_by_day.deaths_m7 / data_by_day.deaths_m7.max()\n",
- "data_by_day['admissions_m7n'] = data_by_day.admissions_m7 / data_by_day.admissions_m7.max()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 489,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "data_by_day['cases_m7nd'] = data_by_day.cases_m7 / data_by_day.cases_m7.loc[normalisation_date]\n",
- "data_by_day['deaths_m7nd'] = data_by_day.deaths_m7 / data_by_day.deaths_m7.loc[normalisation_date]\n",
- "data_by_day['admissions_m7nd'] = data_by_day.admissions_m7 / data_by_day.admissions_m7.loc[normalisation_date]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 490,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "data_by_day['cases_nd'] = data_by_day.cases / data_by_day.cases_m7.loc[normalisation_date]\n",
- "data_by_day['deaths_nd'] = data_by_day.deaths / data_by_day.deaths_m7.loc[normalisation_date]\n",
- "data_by_day['admissions_nd'] = data_by_day.newAdmissions / data_by_day.admissions_m7.loc[normalisation_date]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 491,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<matplotlib.axes._subplots.AxesSubplot at 0x7f4189772650>"
- ]
- },
- "execution_count": 491,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
- "image/png": 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- "text/plain": [
- "<Figure size 432x288 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "data_by_day.loc['2020-03-01':'2020-07-02', ['cases_m7n', 'admissions_m7n', 'deaths_m7n']].plot()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 492,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
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- " <th>deaths</th>\n",
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- " <td>2019-12-31</td>\n",
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- " <td>2020-01-03</td>\n",
- " <td>0</td>\n",
- " <td>0</td>\n",
- " <td>0</td>\n",
- " <td>0</td>\n",
- " <td>0.0</td>\n",
- " <td>0.0</td>\n",
- " <td>0.000000</td>\n",
- " <td>0.000000</td>\n",
- " <td>0.000000</td>\n",
- " <td>0.000000</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>0.000000</td>\n",
- " <td>0.000000</td>\n",
- " <td>NaN</td>\n",
- " <td>0.000000</td>\n",
- " <td>0.000000</td>\n",
- " <td>NaN</td>\n",
- " <td>0.000000</td>\n",
- " <td>0.000000</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-01-04</td>\n",
- " <td>0</td>\n",
- " <td>0</td>\n",
- " <td>0</td>\n",
- " <td>0</td>\n",
- " <td>0.0</td>\n",
- " <td>0.0</td>\n",
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- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>0.000000</td>\n",
- " <td>0.000000</td>\n",
- " <td>NaN</td>\n",
- " <td>0.000000</td>\n",
- " <td>0.000000</td>\n",
- " <td>NaN</td>\n",
- " <td>0.000000</td>\n",
- " <td>0.000000</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-12-10</td>\n",
- " <td>16578</td>\n",
- " <td>533</td>\n",
- " <td>1766819</td>\n",
- " <td>62566</td>\n",
- " <td>4297.0</td>\n",
- " <td>-66.0</td>\n",
- " <td>15366.142857</td>\n",
- " <td>409.571429</td>\n",
- " <td>343.603005</td>\n",
- " <td>380.495816</td>\n",
- " <td>...</td>\n",
- " <td>1568.428571</td>\n",
- " <td>0.606611</td>\n",
- " <td>0.434591</td>\n",
- " <td>0.503370</td>\n",
- " <td>26.770284</td>\n",
- " <td>28.386139</td>\n",
- " <td>12.796037</td>\n",
- " <td>28.881533</td>\n",
- " <td>36.940594</td>\n",
- " <td>13.926573</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-12-11</td>\n",
- " <td>20964</td>\n",
- " <td>516</td>\n",
- " <td>1787783</td>\n",
- " <td>63082</td>\n",
- " <td>4386.0</td>\n",
- " <td>-17.0</td>\n",
- " <td>16235.571429</td>\n",
- " <td>424.142857</td>\n",
- " <td>420.064891</td>\n",
- " <td>392.657665</td>\n",
- " <td>...</td>\n",
- " <td>1601.714286</td>\n",
- " <td>0.640933</td>\n",
- " <td>0.450053</td>\n",
- " <td>0.514053</td>\n",
- " <td>28.284968</td>\n",
- " <td>29.396040</td>\n",
- " <td>13.067599</td>\n",
- " <td>36.522648</td>\n",
- " <td>35.762376</td>\n",
- " <td>13.355478</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-12-12</td>\n",
- " <td>21672</td>\n",
- " <td>424</td>\n",
- " <td>1809455</td>\n",
- " <td>63506</td>\n",
- " <td>708.0</td>\n",
- " <td>-92.0</td>\n",
- " <td>17003.285714</td>\n",
- " <td>412.714286</td>\n",
- " <td>514.093837</td>\n",
- " <td>383.080949</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>0.671240</td>\n",
- " <td>0.437926</td>\n",
- " <td>NaN</td>\n",
- " <td>29.622449</td>\n",
- " <td>28.603960</td>\n",
- " <td>NaN</td>\n",
- " <td>37.756098</td>\n",
- " <td>29.386139</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-12-13</td>\n",
- " <td>21501</td>\n",
- " <td>520</td>\n",
- " <td>1830956</td>\n",
- " <td>64026</td>\n",
- " <td>-171.0</td>\n",
- " <td>96.0</td>\n",
- " <td>17855.000000</td>\n",
- " <td>430.285714</td>\n",
- " <td>496.234012</td>\n",
- " <td>398.139480</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>0.704864</td>\n",
- " <td>0.456571</td>\n",
- " <td>NaN</td>\n",
- " <td>31.106272</td>\n",
- " <td>29.821782</td>\n",
- " <td>NaN</td>\n",
- " <td>37.458188</td>\n",
- " <td>36.039604</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-12-14</td>\n",
- " <td>18447</td>\n",
- " <td>144</td>\n",
- " <td>1849403</td>\n",
- " <td>64170</td>\n",
- " <td>-3054.0</td>\n",
- " <td>-376.0</td>\n",
- " <td>18023.000000</td>\n",
- " <td>417.857143</td>\n",
- " <td>357.762938</td>\n",
- " <td>372.146458</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>0.711496</td>\n",
- " <td>0.443383</td>\n",
- " <td>NaN</td>\n",
- " <td>31.398955</td>\n",
- " <td>28.960396</td>\n",
- " <td>NaN</td>\n",
- " <td>32.137631</td>\n",
- " <td>9.980198</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "<p>350 rows × 24 columns</p>\n",
- "</div>"
- ],
- "text/plain": [
- " cases deaths cases_culm deaths_culm cases_diff deaths_diff \\\n",
- "2019-12-31 0 0 0 0 NaN NaN \n",
- "2020-01-01 0 0 0 0 0.0 0.0 \n",
- "2020-01-02 0 0 0 0 0.0 0.0 \n",
- "2020-01-03 0 0 0 0 0.0 0.0 \n",
- "2020-01-04 0 0 0 0 0.0 0.0 \n",
- "... ... ... ... ... ... ... \n",
- "2020-12-10 16578 533 1766819 62566 4297.0 -66.0 \n",
- "2020-12-11 20964 516 1787783 63082 4386.0 -17.0 \n",
- "2020-12-12 21672 424 1809455 63506 708.0 -92.0 \n",
- "2020-12-13 21501 520 1830956 64026 -171.0 96.0 \n",
- "2020-12-14 18447 144 1849403 64170 -3054.0 -376.0 \n",
- "\n",
- " cases_m7 deaths_m7 deaths_g4 deaths_g7 ... \\\n",
- "2019-12-31 0.000000 0.000000 0.000000 0.000000 ... \n",
- "2020-01-01 0.000000 0.000000 0.000000 0.000000 ... \n",
- "2020-01-02 0.000000 0.000000 0.000000 0.000000 ... \n",
- "2020-01-03 0.000000 0.000000 0.000000 0.000000 ... \n",
- "2020-01-04 0.000000 0.000000 0.000000 0.000000 ... \n",
- "... ... ... ... ... ... \n",
- "2020-12-10 15366.142857 409.571429 343.603005 380.495816 ... \n",
- "2020-12-11 16235.571429 424.142857 420.064891 392.657665 ... \n",
- "2020-12-12 17003.285714 412.714286 514.093837 383.080949 ... \n",
- "2020-12-13 17855.000000 430.285714 496.234012 398.139480 ... \n",
- "2020-12-14 18023.000000 417.857143 357.762938 372.146458 ... \n",
- "\n",
- " admissions_m7 cases_m7n deaths_m7n admissions_m7n cases_m7nd \\\n",
- "2019-12-31 NaN 0.000000 0.000000 NaN 0.000000 \n",
- "2020-01-01 NaN 0.000000 0.000000 NaN 0.000000 \n",
- "2020-01-02 NaN 0.000000 0.000000 NaN 0.000000 \n",
- "2020-01-03 NaN 0.000000 0.000000 NaN 0.000000 \n",
- "2020-01-04 NaN 0.000000 0.000000 NaN 0.000000 \n",
- "... ... ... ... ... ... \n",
- "2020-12-10 1568.428571 0.606611 0.434591 0.503370 26.770284 \n",
- "2020-12-11 1601.714286 0.640933 0.450053 0.514053 28.284968 \n",
- "2020-12-12 NaN 0.671240 0.437926 NaN 29.622449 \n",
- "2020-12-13 NaN 0.704864 0.456571 NaN 31.106272 \n",
- "2020-12-14 NaN 0.711496 0.443383 NaN 31.398955 \n",
- "\n",
- " deaths_m7nd admissions_m7nd cases_nd deaths_nd admissions_nd \n",
- "2019-12-31 0.000000 NaN 0.000000 0.000000 NaN \n",
- "2020-01-01 0.000000 NaN 0.000000 0.000000 NaN \n",
- "2020-01-02 0.000000 NaN 0.000000 0.000000 NaN \n",
- "2020-01-03 0.000000 NaN 0.000000 0.000000 NaN \n",
- "2020-01-04 0.000000 NaN 0.000000 0.000000 NaN \n",
- "... ... ... ... ... ... \n",
- "2020-12-10 28.386139 12.796037 28.881533 36.940594 13.926573 \n",
- "2020-12-11 29.396040 13.067599 36.522648 35.762376 13.355478 \n",
- "2020-12-12 28.603960 NaN 37.756098 29.386139 NaN \n",
- "2020-12-13 29.821782 NaN 37.458188 36.039604 NaN \n",
- "2020-12-14 28.960396 NaN 32.137631 9.980198 NaN \n",
- "\n",
- "[350 rows x 24 columns]"
- ]
- },
- "execution_count": 492,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "data_by_day"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 493,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<matplotlib.axes._subplots.AxesSubplot at 0x7f41898eded0>"
- ]
- },
- "execution_count": 493,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
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\n",
- "text/plain": [
- "<Figure size 432x288 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "data_by_day.loc['2020-10-01':, ['cases_m7n', 'admissions_m7n', 'deaths_m7n']].plot()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 494,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
- " .dataframe tbody tr th:only-of-type {\n",
- " vertical-align: middle;\n",
- " }\n",
- "\n",
- " .dataframe tbody tr th {\n",
- " vertical-align: top;\n",
- " }\n",
- "\n",
- " .dataframe thead th {\n",
- " text-align: right;\n",
- " }\n",
- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>cases</th>\n",
- " <th>deaths</th>\n",
- " <th>cases_culm</th>\n",
- " <th>deaths_culm</th>\n",
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- ],
- "text/plain": [
- " cases cases_culm deaths deaths_culm newAdmissions \\\n",
- "2019-12-31 0.0 0.0 0 0 NaN \n",
- "2020-01-01 0.0 0.0 0 0 NaN \n",
- "2020-01-02 0.0 0.0 0 0 NaN \n",
- "2020-01-03 0.0 0.0 0 0 NaN \n",
- "2020-01-04 0.0 0.0 0 0 NaN \n",
- "... ... ... ... ... ... \n",
- "2020-12-10 NaN NaN 533 62566 NaN \n",
- "2020-12-11 NaN NaN 516 63082 NaN \n",
- "2020-12-12 NaN NaN 424 63506 NaN \n",
- "2020-12-13 NaN NaN 520 64026 NaN \n",
- "2020-12-14 NaN NaN 144 64170 NaN \n",
- "\n",
- " cumAdmissions deaths_m7 cases_m7 admissions_m7 cases_m7n \\\n",
- "2019-12-31 NaN NaN NaN NaN NaN \n",
- "2020-01-01 NaN NaN NaN NaN NaN \n",
- "2020-01-02 NaN NaN NaN NaN NaN \n",
- "2020-01-03 NaN NaN NaN NaN NaN \n",
- "2020-01-04 NaN NaN NaN NaN NaN \n",
- "... ... ... ... ... ... \n",
- "2020-12-10 NaN 409.571429 NaN NaN NaN \n",
- "2020-12-11 NaN 424.142857 NaN NaN NaN \n",
- "2020-12-12 NaN 412.714286 NaN NaN NaN \n",
- "2020-12-13 NaN 430.285714 NaN NaN NaN \n",
- "2020-12-14 NaN 417.857143 NaN NaN NaN \n",
- "\n",
- " deaths_m7n admissions_m7n \n",
- "2019-12-31 NaN NaN \n",
- "2020-01-01 NaN NaN \n",
- "2020-01-02 NaN NaN \n",
- "2020-01-03 NaN NaN \n",
- "2020-01-04 NaN NaN \n",
- "... ... ... \n",
- "2020-12-10 28.386139 NaN \n",
- "2020-12-11 29.396040 NaN \n",
- "2020-12-12 28.603960 NaN \n",
- "2020-12-13 29.821782 NaN \n",
- "2020-12-14 28.960396 NaN \n",
- "\n",
- "[350 rows x 12 columns]"
- ]
- },
- "execution_count": 495,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "dbds = pd.read_csv('data_by_day_uk.csv', index_col='dateRep', parse_dates=True)\n",
- "# dbds.loc['2020-07-03', 'cases'] = 576\n",
- "\n",
- "dbds = dbds[['cases', 'cases_culm']].shift(-25).merge(dbds[['deaths', 'deaths_culm']], left_index=True, right_index=True, how='outer')\n",
- "dbds = dbds.merge(hospital_data[['newAdmissions', 'cumAdmissions']].shift(-14), how='outer',\n",
- " left_index=True, right_index=True)\n",
- "\n",
- "dbds['deaths_m7'] = dbds.deaths.transform(lambda x: x.rolling(7).mean())\n",
- "dbds['cases_m7'] = dbds.cases.transform(lambda x: x.rolling(7).mean())\n",
- "dbds['admissions_m7'] = dbds.newAdmissions.transform(lambda x: x.rolling(7).mean())\n",
- "\n",
- "dbds['cases_m7n'] = dbds.cases_m7 / dbds.cases_m7.loc[normalisation_date]\n",
- "dbds['deaths_m7n'] = dbds.deaths_m7 / dbds.deaths_m7.loc[normalisation_date]\n",
- "dbds['admissions_m7n'] = dbds.admissions_m7 / dbds.admissions_m7.loc[normalisation_date]\n",
- "\n",
- "dbds"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 496,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<matplotlib.axes._subplots.AxesSubplot at 0x7f418958dd50>"
- ]
- },
- "execution_count": 496,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 432x288 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "dbds.loc['2020-03-01':, ['cases_m7n', 'admissions_m7n', 'deaths_m7n']].plot()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 497,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "Timestamp('2020-12-14 00:00:00')"
- ]
- },
- "execution_count": 497,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "dbds.last_valid_index()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 498,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "34.6"
- ]
- },
- "execution_count": 498,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "(int(dbds.loc[normalisation_date:, ['cases_m7n', 'admissions_m7n', 'deaths_m7n']].max().max() * 10) + 1) / 10.0"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 499,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<matplotlib.legend.Legend at 0x7f41893f0890>"
- ]
- },
- "execution_count": 499,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 720x576 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "ymax = (int(dbds.loc[normalisation_date:, ['cases_m7n', 'admissions_m7n', 'deaths_m7n']].max().max() * 10) + 1) / 10.0\n",
- "ax = dbds.loc[normalisation_date:, ['cases_m7n', 'admissions_m7n', 'deaths_m7n']].plot(ylim=(0, ymax), \n",
- "# xlim=('2020-05-15', dbds.last_valid_index()), \n",
- " figsize=(10, 8),\n",
- " title=\"Cases, hospital admissions, and deaths\\n(7-day moving averages, time-shifted data)\")\n",
- "\n",
- "lvi = dbds.cases_m7n.last_valid_index()\n",
- "ax.text(x = lvi + pd.Timedelta(days=1), y = dbds.cases_m7n[lvi], s = f'{dbds.cases_m7n[lvi]:.2f}')\n",
- "\n",
- "lvi = dbds.admissions_m7n.last_valid_index()\n",
- "ax.text(x = lvi + pd.Timedelta(days=1), y = dbds.admissions_m7n[lvi], s = f'{dbds.admissions_m7n[lvi]:.2f}')\n",
- "\n",
- "lvi = dbds.deaths_m7n.last_valid_index()\n",
- "ax.text(x = lvi + pd.Timedelta(days=1), y = dbds.deaths_m7n[lvi], s = f'{dbds.deaths_m7n[lvi]:.2f}')\n",
- "\n",
- "\n",
- "ax.set_xlabel(\"Date\")\n",
- "ax.set_ylabel(f'Normalised units, scaled from {normalisation_date}')\n",
- "ax.legend(['Cases', 'Admissions', 'Deaths'])\n",
- "# for c in COUNTRIES_FRIENDS:\n",
- "# lvi = cases_m7[c].last_valid_index()\n",
- "# ax.text(x = lvi + 1, y = cases_m7[c][lvi], s = f\"{c}: {cases_m7[c][lvi]:.0f}\")\n",
- "\n",
- "# plt.savefig('cases_admissions_deaths.png')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 500,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "['#1f77b4', '#ff7f0e', '#2ca02c']"
- ]
- },
- "execution_count": 500,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "[l.get_color() for l in ax.lines]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 501,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 720x576 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "ymax = (int(data_by_day.loc[normalisation_date:, ['cases_m7nd', 'admissions_m7nd', 'deaths_m7nd']].max().max() * 10) + 1) / 10.0\n",
- "# ymax = (int(data_by_day.loc[normalisation_date:, ['cases_m7nd', 'admissions_m7nd', 'deaths_m7nd',\n",
- "# 'cases_nd', 'admissions_nd', 'deaths_nd']].max().max() * 10) + 1) / 10.0\n",
- "ax = data_by_day.loc[normalisation_date:, ['cases_m7nd', 'admissions_m7nd', 'deaths_m7nd']].plot(\n",
- "# ax = data_by_day.loc[normalisation_date:, ['cases_m7nd', 'admissions_m7nd', 'deaths_m7nd',\n",
- "# 'cases_nd', 'admissions_nd', 'deaths_nd']].plot(\n",
- " ylim=(0, ymax), \n",
- "# xlim=('2020-05-15', dbds.last_valid_index()), \n",
- "# style={'cases_nd': '#1f77b4', 'admissions_nd': '#ff7f0e', 'deaths_nd': '#2ca02c'},\n",
- "# style={'cases_nd': ':', 'admissions_nd': ':', 'deaths_nd': ':'},\n",
- " figsize=(10, 8),\n",
- " title=\"Cases, hospital admissions, and deaths\\n(7-day moving averages)\")\n",
- "\n",
- "lvi = data_by_day.cases_m7nd.last_valid_index()\n",
- "ax.text(x = lvi + pd.Timedelta(days=1), y = data_by_day.cases_m7nd[lvi], s = f'{data_by_day.cases_m7nd[lvi]:.2f}')\n",
- "\n",
- "lvi = data_by_day.admissions_m7nd.last_valid_index()\n",
- "ax.text(x = lvi + pd.Timedelta(days=1), y = data_by_day.admissions_m7nd[lvi], s = f'{data_by_day.admissions_m7nd[lvi]:.2f}')\n",
- "\n",
- "lvi = data_by_day.deaths_m7nd.last_valid_index()\n",
- "ax.text(x = lvi + pd.Timedelta(days=1), y = data_by_day.deaths_m7nd[lvi], s = f'{data_by_day.deaths_m7nd[lvi]:.2f}')\n",
- "\n",
- "\n",
- "ax.set_xlabel(\"Date\")\n",
- "ax.set_ylabel(f'Normalised units, scaled from {normalisation_date}')\n",
- "ax.legend(['Cases', 'Admissions', 'Deaths'])\n",
- "# for c in COUNTRIES_FRIENDS:\n",
- "# lvi = cases_m7[c].last_valid_index()\n",
- "# ax.text(x = lvi + 1, y = cases_m7[c][lvi], s = f\"{c}: {cases_m7[c][lvi]:.0f}\")\n",
- "\n",
- "plt.savefig('cases_admissions_deaths.png')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 502,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
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- " <td>2020-12-14</td>\n",
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- ],
- "text/plain": [
- " cases deaths cases_culm deaths_culm cases_diff deaths_diff \\\n",
- "2019-12-31 0 0 0 0 NaN NaN \n",
- "2020-01-01 0 0 0 0 0.0 0.0 \n",
- "2020-01-02 0 0 0 0 0.0 0.0 \n",
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- "... ... ... ... ... ... ... \n",
- "2020-12-10 16578 533 1766819 62566 4297.0 -66.0 \n",
- "2020-12-11 20964 516 1787783 63082 4386.0 -17.0 \n",
- "2020-12-12 21672 424 1809455 63506 708.0 -92.0 \n",
- "2020-12-13 21501 520 1830956 64026 -171.0 96.0 \n",
- "2020-12-14 18447 144 1849403 64170 -3054.0 -376.0 \n",
- "\n",
- " cases_m7 deaths_m7 deaths_g4 deaths_g7 ... \\\n",
- "2019-12-31 0.000000 0.000000 0.000000 0.000000 ... \n",
- "2020-01-01 0.000000 0.000000 0.000000 0.000000 ... \n",
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- "2020-01-04 0.000000 0.000000 0.000000 0.000000 ... \n",
- "... ... ... ... ... ... \n",
- "2020-12-10 15366.142857 409.571429 343.603005 380.495816 ... \n",
- "2020-12-11 16235.571429 424.142857 420.064891 392.657665 ... \n",
- "2020-12-12 17003.285714 412.714286 514.093837 383.080949 ... \n",
- "2020-12-13 17855.000000 430.285714 496.234012 398.139480 ... \n",
- "2020-12-14 18023.000000 417.857143 357.762938 372.146458 ... \n",
- "\n",
- " admissions_m7 cases_m7n deaths_m7n admissions_m7n cases_m7nd \\\n",
- "2019-12-31 NaN 0.000000 0.000000 NaN 0.000000 \n",
- "2020-01-01 NaN 0.000000 0.000000 NaN 0.000000 \n",
- "2020-01-02 NaN 0.000000 0.000000 NaN 0.000000 \n",
- "2020-01-03 NaN 0.000000 0.000000 NaN 0.000000 \n",
- "2020-01-04 NaN 0.000000 0.000000 NaN 0.000000 \n",
- "... ... ... ... ... ... \n",
- "2020-12-10 1568.428571 0.606611 0.434591 0.503370 26.770284 \n",
- "2020-12-11 1601.714286 0.640933 0.450053 0.514053 28.284968 \n",
- "2020-12-12 NaN 0.671240 0.437926 NaN 29.622449 \n",
- "2020-12-13 NaN 0.704864 0.456571 NaN 31.106272 \n",
- "2020-12-14 NaN 0.711496 0.443383 NaN 31.398955 \n",
- "\n",
- " deaths_m7nd admissions_m7nd cases_nd deaths_nd admissions_nd \n",
- "2019-12-31 0.000000 NaN 0.000000 0.000000 NaN \n",
- "2020-01-01 0.000000 NaN 0.000000 0.000000 NaN \n",
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- "... ... ... ... ... ... \n",
- "2020-12-10 28.386139 12.796037 28.881533 36.940594 13.926573 \n",
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- "2020-12-14 28.960396 NaN 32.137631 9.980198 NaN \n",
- "\n",
- "[350 rows x 24 columns]"
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- "execution_count": 502,
- "metadata": {},
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- "source": [
- "data_by_day"
- ]
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- {
- "cell_type": "code",
- "execution_count": 503,
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- "source": [
- "lvi + pd.Timedelta(days=1)"
- ]
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MfPTRR7zxxhsAxMbG8o9//IOTJ0/yyiuvcP3115ORkcGsWbMoKiqipqaGf//734wdO7beuDw8PHjwwQf56aef8PX15e9//zu///3vOXbsGK+//jrTpk07o35rrdvfWmQ10CbKK63igaU7GP3yWt5Ym0RGYQXp+WXEpeZz30c7+DU5p+GTtJBai+aBpTtYuOEwtwyP5MO7hp/x4f9bLmYT/zOpJ4nHC/k2MeOixSnE+ezYsYNly5axa9cuvvzyS7ZvNwYKzp07lzfeeIMdO3Ywf/58HnjgAYC6jVR27drFjTfeyCuvvEJUVBT33Xcfjz/+OPHx8XUf6BkZGWzcuJFvvvmGZ555BoCPP/6YyZMnEx8fz+7du8/7bb20tJTx48ezY8cOPD09+eMf/8iaNWtYsWJFvWv9fPrpp20qAcgVQBO9+N1+1uzL5O6xXc7oUC0sr2bmwl+598MdfHb/SHqHeLV6LP9Yc5DVezP54+/6cPfYro06ZvrAMBbFpvDq6oOM7xWIp4u5laMUbUVjvqm3hl9++YVrrrkGNzfj/9K0adOoqKjg119/PWMN/srKSgDS09OZNWsWGRkZVFVV0aVLl3Oee8aMGTg4ONC3b18yMzMBGDp0KHfeeSfV1dXMmDHjvAnAycmpbqno6OhonJ2dMZvN9a7bv3XrVtzc3Ojfv3+zfg+2IFcATbDneCGf70xnzuguPHtlnzNG03i7mnl/zjDcnE3csXg7aXllrRrLmn2ZvLnuMDcOjWj0hz+AyUHxp6l9Sc8v43cLNrLrmCzGKmzvt8OVLRYLPj4+xMfH1932798PwMMPP8xDDz1EYmIib7/9NhUVFec87+nr7p9a+HLcuHHExsYSFhbGbbfddt5N4M1mc11stly3v7VIAmgkrTXzvt2Pj6uZByd0r7dOJx9X3rtjGGVVNcx4cxNxqa0zzy01p5QnlscTHebN89P6Nfn40d0DWH7vSGotmpkLN/PS9wdITC/EYpGVN8TFN27cOFasWEF5eTnFxcWsWrUKNzc3unTpUrcPgNaa3bt3A8Ya+WFhxjqSS5YsqTuPp6cnxcXFDb7e0aNHCQoK4p577uGuu+5i586dF/weLBYLn332GTfeeOMFn+tikiagRvp5fxabU3L5y7R+eLueu9mkbycvVjw4mruXxHHzf7by/LR+XBUdgo/budvmm2LNvkye/TIBB6V465bBuJhNzTpPTJQf3z06lj99tYeFGw6zcMNh/N2d6B7kgaeLGS8XR/zcnfD3cCbc15UJvYPwcJY/F9HyBg8ezKxZsxg4cCCdO3eua79funQp999/Py+88ALV1dXceOONXHLJJTz//PPMnDmTsLAwRowYwZEjRwBjm8jrr7+er7/+uq4TuD7r16/n1VdfxWw24+Hhcd4rgMaKjY0lPDycrl0bfzVuDxq1H4Ct2Mt+ANW1Fia/FgsKVj82DrOp4QungrIq7v9oJ5tTcgEI93Vl9sgo7hnXvD+Qiupa/vz1HpbHpdM31IvXbxxIz2DPZp3rt3JKKvklKZvYQzkcLyinuKKGovJqcksrqai2AOBidmBKvxBuiIlgZDd/mWHcTsh+AG3fhewHIF/pGuGLHemk5JSy6LYhjfrwB/Bxc+LDu4axJSWPxOOFrNl3kpd+OMCU/iFE+DV9Ju5b6w+zPC6dB8Z347HLe+Lk2HKtdwEezlwzKJxrBoWf9VxZVQ17TxSxYtdxvtl9gq/iT9A7xJM7x3RhxsCwFo1DCHFxyf/eBlRU1/LPn5MYGOHDFX2bNsbf0eTAmB4B3D++G2/dMgQHBYtiU5ocQ1lVDR9sTuWKvsH8fkrvi/qh6+bkyNAoP/5+TTTb/vdyXrl+AFrD7z9P4M73t1Ne1bxt+oSwJ8OHD2fgwIFn3BITE20dVquTK4AGfLz1GBmFFcyfeckFNXuEeLtw/ZBwPo1L4+GJ3QnydGn0scu3p1FQVs19l9q2fdHFbOKGmAhmDgnn0+1pPLsikbuWbOed2TG4OcmfUlulte7wTXpbt261dQjNcqFN+HIFcB6llTW8uS6ZUd38Gd39wpdOuHdcN2pqLby78Uijj6mptfDOxiPEdPZlSGe/C46hJSiluHFYJP+44RK2pORy5/vbKa2safhAYXdcXFzIzc294A8ScfFprcnNzcXFpfFfJn9Lvradx3ubjpBbWsWTk3u1yPmiAtyZOqATH20+ygOXdsfbreFJWN/tOUl6fjnPXd304Z6t7ZpB4TgoxRPLd3PLO1t5f87QFhvtJC6O8PBw0tPTyc7OtnUoohlcXFwIDz+7766xJAGcQ1JmMW+sTWZS32AGR/q22HnvH9+NlbtPsGRzKo9M7HHeulpr3t5wmG6B7kzsHdRiMbSk6QPDcDGbePjjXcx6ewsf3jWMIK/mfyMRF5fZbD7vTFrRvkkTUD0qqmt5ZFk8Hs6OvHBNy07r7hPqxWW9g3j/19QGO1DfXJfM3hNF3D++u10v3Da5XwjvzxlKWn4ZN7+zlVqZUCZEmyAJoB6v/HCQ/RlFvDpzQJM6axvr/vHdyCutYnlc2jnr/Lj3JPN/PMSMgZ24bnBYi8fQ0kZ1D+Dl6waQnFXChkNZtg5HCNEIkgB+Y1NyDos3HWH2yM5c1rt1lnYeGuVHTGdfFsWmUF1rOev5gyeLefzTeAaEe/PSdQPazAiNKf1DCPBw5uOt505sQgj7IQngN17/6RBhPq48e1Xrzo6879JuHC8o55uEE2eUJ6QXcPvirbg5O/L2bUOavdSDLZhNDtwQE87aA5mcLDz3Al1CCPsgCeA0CekFbE/NZ87oqFb/4L2sdxA9gz1YuD6FrOIKtNas2n2CmQs34+jgwId3DSPU27VVY2gNNw6NxKI5b/OWEMI+yCig07y3KRV3JxM3DI1o9ddycFA8ML47j30az7B5P+Ps6EBljYVhUX68detgAjycGz6JHYr0d2NsjwCWbTvGgxO6Y7LjzmshOjpJAFaZRRV8k3CCW4Z3xusibZIyY1AYwV4uHMosJj2/DC8XM/de2q3Nr69z87BI7l+6k9hD2Uyw0+GrQghJAHU+2nKUGotmzuioi/q6I7v5M7Kb/0V9zdZ2ed9gAjycef/XVEkAQtixtv1Vs4VUVNeydOsxLu8TTGd/d1uH0+aZTQ7cOSaKDYeyZccxIeyYJABg/cEs8kqrmD0yytahtBuzR0bh62bm9Z+SbB2KEOIcJAEAP+7LxNvVzIiu9rHYWnvg7uzI3HHd2HAom51yFSCEXerwCaCm1sK6A1lc1jsIx0Zu9iIa5/aRnfFzd5KrACHsVKM/8ZRSJqXULqXUN9bHXZRSW5VSSUqpT5VSTtZyZ+vjZOvzUaed41lr+UGl1OSWfjPNseNoPvll1U3e7EU0zLgK6EqsXAUIYZea8pX3UWD/aY9fBl7TWvcA8oG7rOV3Afla6+7Aa9Z6KKX6AjcC/YApwFtKKZtPc/1pfyZOJgfG9Qy0dSjt0m0jOuNqNvHlznRbhyKE+I1GJQClVDjwO+Ad62MFXAZ8bq2yBJhhvT/d+hjr8xOt9acDy7TWlVrrI0AyMKwl3kRzaa1Zsy+Tkd388XCWEbGtwd3Zkct6B/HDnkxZJVQIO9PYK4DXgd8Dp1Yu8wcKtNantoFKB04tWRkGpAFYny+01q8rr+eYOkqpuUqpOKVUXGtvUnE4u4TU3DJp/mllU/qHkFNSyY6j0gwkhD1pMAEopaYCWVrrHacX11NVN/Dc+Y75b4HWi7TWMVrrmMDA1m2W+XFfJgCX95EE0Jom9A7CydGB7/dk2DoUIcRpGnMFMBqYppRKBZZhNP28DvgopU61m4QDp5a1TAciAKzPewN5p5fXc4xN/LQvkwHh3oR4yw5WrcnD2ZFLewbyw56TWKQZSAi70WAC0Fo/q7UO11pHYXTirtVa3wKsA663VpsNfG29v9L6GOvza7Wx4/RK4EbrKKEuQA9gW4u9kybKKalkV1qBfPu/SK7sH0JGYQW70wtsHYoQwupCBr4/DTyhlErGaON/11r+LuBvLX8CeAZAa70XWA7sA34AHtRan39PxFa0/mA2WhvLMovWN7FPMGaT4oc9J20dihDCqklDX7TW64H11vsp1DOKR2tdAcw8x/HzgHlNDbI1rDuQRbCXM/06edk6lA7B29XM6O4BfLcng2eu7N1mdjkToj3rkFNfq2osxB7K5rLeQfJBdBFdFR1KWl4521NlNJAQ9qBDJoC41DyKK2uY0Euafy6mqwd0wtvVzHubjtg6FCEEHTQBrD2QhZOjA6O7B9g6lA7F1cnEzcMjWb33JGl5ZbYOR4gOr8MmgJFd/XGX2b8X3e0jO6OUYsmvqbYORYgOr8MlgCM5paTklMroHxsJ9XblquhQPt2eRkllTcMHCCFaTYdLAGsPZAEy/NOW7hrTheLKGj6PS2u4shCi1XS4BBB7KJtuge5E+LnZOpQOa2CED4Miffhwy1FbhyJEh9ahEkCtRbPzaD7Du7avTdjbomsHhXE4u5TkrBJbhyJEh9WhEsCBk0UUV9YwLEq2frS1y60rsK7eKzODhbCVDpUA4qwTkGKifG0ciQj1duWScO+6FVmFEBdfh0oA21Lz6OTtQrivtP/bg0n9QtidVsDJwgpbhyJEh9RhEoDWmu1H8oiR5h+7Mbmf0Qy0Zp80AwlhCx0mAaTllZNVXMnQLpIA7EX3IE+6Brqzeq80AwlhCx0mAWxLzQNgqLT/25VJfUPYkpJLYVm1rUMRosPpMAkgLjUPLxdHegZ52joUcZrJ/YKpsWjWHpSrACEutg6TALalGu3/Dg6y/LM9uSTchzAfV5ZuOYaxcZwQ4mLpEAkgp6SSlOxShkoHsN1xcFDce2lX4o7mszkl19bhCNGhdIgEcGr8v7T/26cbYiII8nTmjZ+TbR2KEB1Kh0gAW4/k4uzoQHS4t61DEfVwMZu499JubE7JZduRPFuHI0SH0TESQEoegyN9cXY02ToUcQ43D4skwMOJN9Ym2ToUITqMdp8ACsuq2X+yiOFdpf3fnrk6mbhnbFd+Scoh9lC2rcMRokNo9wlge2oeWsPwLrICqL27bWRnegR58OiyXbJlpBAXQbtPAFuP5OJkcmBQpI+tQxENcHNy5D+3x1Br0cz9cAdlVTVkFVeweOMRPotLo7rWYusQhWhX2v2muFuP5DEwwgcXs7T/twVRAe4suGkQd76/nSmv/8LxgnJqLcb8gLfWH+Z/JvXkqv6hMp9DiBbQrq8Aiiuq2XO8UNr/25jxvYL44+/6ohTMHdeVn54Yxzu3x2A2KR76eBdPfra7LikIIZqvXV8B7Diaj0Xa/9ukO8d04c4xXeoedw/yZELvIN5Ym8TrPyVh0Zr/u2EgJrkSEKLZ2nUC2HokD0cHxeDO0v7fHpgcFI9d3hOzyYFXVx/EouH1WQOlOUiIZmqwCUgp5aKU2qaU2q2U2quU+ou1vItSaqtSKkkp9alSysla7mx9nGx9Puq0cz1rLT+olJrcWm/qlK0puQwI98bNqV3nuQ7nwQndeXJST1buPsH3e2QvASGaqzF9AJXAZVrrS4CBwBSl1AjgZeA1rXUPIB+4y1r/LiBfa90deM1aD6VUX+BGoB8wBXhLKdVqPbNlVTUkpBfKBvDt1P3ju9MlwJ1FsYdlETkhmqnBBKANJdaHZutNA5cBn1vLlwAzrPenWx9jfX6iUkpZy5dprSu11keAZGBYi7yLemw9kkeNRTNSEkC7ZHJQ3DO2K7vTC2UROSGaqVGjgJRSJqVUPJAFrAEOAwVa6xprlXQgzHo/DEgDsD5fCPifXl7PMae/1lylVJxSKi47u/kzQn85lIOTowPDZAewduvawWEEeDjz9oYUW4ciRJvUqASgta7VWg8EwjG+tfepr5r1Z309cvo85b99rUVa6xitdUxgYGBjwqvXxuRshnfxk/H/7ZiL2cSc0VFsOJTN/owiW4cjRJvTpHkAWusCYD0wAvBRSp3qXQ0HTljvpwMRANbnvYG808vrOaZFnSys4FBmCWO6B7TG6YUduXV4Z9ydTLy1/rCtQxGizWnMKKBApZSP9b4rcDmwH1gHXG+tNhv42np/pfUx1ufXaqOXbiVwo3WUUBegB7Ctpd7I6TYm50vw7wkAACAASURBVAAwtkfzryBE2+DtZmbO6C6s2n2CN9fJfgJCNEVjxkeGAkusI3YcgOVa62+UUvuAZUqpF4BdwLvW+u8CHyqlkjG++d8IoLXeq5RaDuwDaoAHtda1Lft2DL8kZRPg4UTvENn/tyN4/IqeHC8o59XVBzGbFHPHdbN1SEK0CQ0mAK11AjConvIU6hnFo7WuAGae41zzgHlND7PxLBbNpuQcxnQPkAlCHYTJQfHq9QOorrXw9+8OsO1IHj2DPeke5MFV0aHSDyTEObS7GVL7TxaRU1LFGGn+6VAcTQ68NmsgAR7OxCZls/5gNjUWzafb03hndgyeLmZbhyiE3Wl3CWBj0qn2f+kA7mjMJgeen9YPgJpaC1/Hn+D3XyRwyztbeX/OMPzcnWwcoRD2pd2tBhqblE3PYA+CvVxsHYqwIUeTA9cNCWfRbUM4eLKYGxdtpqK6VbqchGiz2lUCyCmpZEtKHhP7BNs6FGEnJvYJZuGtQziUWcIHm1NtHY4QdqVdJYBvdp+g1qKZMfCsCcaiA5vQO4hxPQN5a/1hiiqqbR2OEHajXSWAr+JP0DvEk14y/FP8xu8n96KgrJp3YmXZCCFOaTcJIDWnlPi0AmYM6qDf/rWGg9+DRdq569M/zJvfRYfyzsYj5JRU2jocIexCu0kAK3efQCmYdkknW4diG4fXwic3wo73bR2J3XpiUk8qayz8/dv9ssG8ELSTBKC15qv44wyL8qOTj6utw7GNbpdB1FhY+zcoy7N1NHapW6AHc8d15ctdx5nx5iZZQE50eO0iAew5XkRKdmnHbf4BUAqufAUqiuDnv9o6Grv19JTeLLx1CJlFFUz710aWx6U1fJAQ7VS7SAArdx/HbFJc1T/U1qHYVnBfGDbXaAY6scvW0ditKf1DWPP4pQzv4s8zXyTw8/5MW4ckhE20+QSgtea7xJOM7RGIt5tM92f8M+AeAN/93ugYFvXydXfi7duG0D/Mmwc/3snOY/m2DkmIi67NJ4A9x4s4XlDOlP4htg7FPrj6wGV/gvRtcGi1raOxa+7Ojiy+YyjBXi7csXgb93wQxx+/SuSzuDTZZ1h0CG0+AfywNwOTg+IKmf37XwNvBp/OsOEluQpoQICHMx/cOYwRXf1Jyytj1e4Mnvo8gWe+SJSRQqLda9OLwWmt+X7PSUZ09cNXFvr6L5MZxv4PrHoEktZAz0m2jsiudfZ3Z9HtMYDxN/XamkMsWJvMyaIK3rplMO7Obfq/iRDn1KavAJKySkjJLmVKR+/8rc8lN4F3JGx4Wa4CmkApxROTevHitdFsTM7h1ne3UlpZY+uwhGgVbToBfJ94EqVgcj9p/jmLoxOMfRyOx8Hhn20dTZtz07BI3rx5EAnphdy9JE5WEhXtUttOAHsyiOnsS5CnLP1cr4G3glc4bHhFrgKaYUr/UObPHMCWI7k8sHQnVTXSJyDalzabAFJzSjlwsliaf87H0QnGPAZpWyF1o62jaZOuGRTOCzP6s/ZAFvd8ECfNQaJdabMJYP3BLAAZ/dOQQbeBRzDEvmrrSNqsW4Z35qVro/klKZub/7OFXFlMTrQTbTYBbEzOobO/G5H+brYOxb6ZXWDUw3BkA6Rts3U0bdaNwyJ5+7YYDpwsZubCzRTLvgKiHWiTCaC61sLmw7mM6S77/jbKkDng6gex820dSZt2Rd9g3pszlJScUt7eIPsKiLavTSaAXccKKK2qZWyPQFuH0jY4e8DIByBptawRdIFGdQvg6ks68c7GFDKLKmwdjhAXpE0mgI1J2TgoGNnN39ahtB3D5oJbAHx+lywXfYGemtSLWosxYUyItqxNJoDYpBwuifDB21UWf2s0F2+4cSkUpsGnt0JNla0jarMi/d24dURnlselkZRZbOtwhGi2NpcACsuqSUgvkOaf5ogcAdPfgqObYNWjMjfgAjx8WQ/cnRx5dfVBW4ciRLO1uQSwOSUHi4axPaQDuFkGzITxz8Luj+Gbx2UP4Wbyc3di9qgoftqfSUZhua3DEaJZGkwASqkIpdQ6pdR+pdRepdSj1nI/pdQapVSS9aevtVwppRYopZKVUglKqcGnnWu2tX6SUmp2cwKOTcrBw9mRgRE+zTlcAFz6NIx5Ana8B1/OhVoZ0tgcM2PCsWj4cudxW4ciRLM05gqgBvgfrXUfYATwoFKqL/AM8LPWugfws/UxwJVAD+ttLvBvMBIG8BwwHBgGPHcqaTTFxqQcRnT1x2xqcxcv9kMpuPw5uPx52PM5fHob1Mjkpqbq7O/O8C5+sn+AaLMa/BTVWmdorXda7xcD+4EwYDqwxFptCTDDen868IE2bAF8lFKhwGRgjdY6T2udD6wBpjQl2LS8Mo7llTGmu4z+aRFjHoer5sOh7+GzOdIx3Aw3xESQmlvG9lTZUUy0PU36Gq2UigIGAVuBYK11BhhJAgiyVgsDTt9pO91adq7yRvv1cA4Ao2UCWMsZdo+RBA5+C1/cKc1BTXRldAgezo58JpvLizao0QlAKeUBfAE8prUuOl/Vesr0ecp/+zpzlVJxSqm47OzsM5779XAuAR7OdA/yaGzYojGG3QNTXoL9q+CTG2WeQBO4OTkydUAo3yZmyEJxos1pVAJQSpkxPvyXaq2/tBZnWpt2sP7MspanAxGnHR4OnDhP+Rm01ou01jFa65jAwMDTy/n1cC6juvmjVH25RFyQEffD1NchZQMsGg8Zu20dUZsxMyacsqpavkk4689ZCLvWmFFACngX2K+1/sdpT60ETo3kmQ18fVr57dbRQCOAQmsT0WpgklLK19r5O8la1iiHs0vILq5klMz+bT0xc2DO90Yz0LuTYPcyW0fUJgyO9KVfJy/++VMS5VUyrFa0HY25AhgN3AZcppSKt96uAl4CrlBKJQFXWB8DfAekAMnAf4AHALTWecDfgO3W21+tZY3y6+FcIxhp/29dEUPh3lgIHwor7oUf/gC10rRxPkopnp/WjxOFFby5LtnW4QjRaA3udq213kj97fcAE+upr4EHz3GuxcDipgR4yqbkHMJ9XYnwk+WfW51HINy2An78E2x5EzIT4dr/gGeIrSOzW0Oj/LhmUBiLYlO4fkg4UQHutg5JiAa1icH0tRbNlpQ8af65mExmuPIlY+mItO3w71Fw8HtbR2XXnr2yN06ODvxl1V6ZFyDahDaRAPZnFFFYXs2obtL8c9ENugXu3QCenYwRQqseg0pZAK0+QV4uPHZ5D9YdzGb13kxbhyNEg9pEAjg1/l+Wf7aRwF5wz88w8iHY8b5xNZCywdZR2aXZo6LoE+rFn7/eQ2G5zKkQ9q1NJIBfknLoFuhOsJeLrUPpuBydYfI8Y5SQgxk+mAbrXpQVRX/DbHLglesGkFNSyYvf7bd1OEKcl90ngKKKarak5DJRNn+3D51Hwn0b4ZKbYcNLsPoPkgR+Izrcm3vGdmXZ9jR+Tc6xdThCnJPdJ4D1B7OprtVM6isJwG44ucH0N2H4/bDlLVj5sCwr/RuPXd6TKH83nv4ygexiWWhP2Ce7TwBr9mXi7+7EoMgmLxwqWpODA0x5EcY9Bbs+NDqIK863QkjH4upk4h+zBpJTXMXN/9lCbokkAWF/7DoBaA3rD2RxeZ9gTA6y/IPdUQou+yNMfQ2Sf4bFkyH/qK2jshuDI31ZfMdQ0vLLuOWdreSVymqrwr7YdQIorayhuLKGK6T5x77F3Am3fQlFx411hA58Z+uI7MbIbv68c/tQjuSUcv3CXzkkewgLO2LXCaCoohpXs4kxsv2j/es6Hu5eC97hsOwmY7vJqjJbR2UXxvQI4IM7h1FUXsP0f23iy53ptg5JCMDeE0B5DeN6BuBiNtk6FNEYAd3h7p9g1MMQtxjeGg57v5JRQsDwrv5898gYBoR788Ty3dzzQRzJWXI1IGxL2fOUdefQHvrjb9Zx3ZBwW4cimip1I3z/NGTugchRxu5j3S4DU4PLT7VrNbUWFv2SwlvrDlNWVcP1Q8K5eXhnLgn3lmXORYtRSu3QWsc0WM/eE8DJ5L34ujvZOhTRHJZa2LkE1v0dSrPBIwQG3AADb4agPraOzqbySqt4Y20SS7cco6rWQmd/N64e0IkZg8JkwyNxwdpFAhgwcLBOiN9p6zDEhaqpgqTVEP8xHFoNuhZCB0LPyeAeCG7+Rt+Bb5TxuAN9Ey4sr2b13pOs2n2CTck5WDT0D/Pi8ct7yuRH0WztIgHExMTouLg4W4chWlJJNiR+Brs/hpOJZz/v7AWDb4dRj4Bnx/oAzCqqYFVCBp9sO0ZKdgnzronmpmGRtg5LtEGSAIT9q6029h8uy4HCdMhPhbRtsPdLMDkZzUXB0eDXFUIvMfYp6ADKqmp4YOlO1h/M5n+u6MlDl3WX/gHRJJIARNuVexhi58O+r6G61FqoIHIk9LkaLrkR3PxsGmJrq6618PTnCXy56zhzx3Xl2St7SxIQjSYJQLR9WkNJFuQmw5FY2L8KsvaCizeMfRKGzQVz+10h1mLRPL9qLx9sPsqdo7vwp6l9JAmIRmlsAujYY/KEfVPK6AfwDIao0TDhWaPf4KfnYc2fYPt/jEXpuoyzdaStwsFB8Zdp/TA5KBZvOkKNxcJzV/eTZVFEi7HriWBCnCUkGm79Am77yugnWDLN2Lu4pn2us6OU4s9T+zJ3XFc+2HyU2Yu3ycJyosVIAhBtU7cJcG8sDLkDfl0Aiy6FQz+2y1nHSin+cFUfXr4umm2peUx9YyM7jubZOizRDkgCEG2Xkztc/TrctAyqy+HjmfD+74yRRO3QrKGRfHn/KBxNiusXbuZPX8m2k+LCSAIQbV+vK+HBbXDVfMhJgnevgE9ugsx9to6sxfUP8+a7R8Zyx6golm49ysT/28D3iRm2Dku0UTIKSLQvlSWw9d+waQFUFsPw+2Din41dzNqZPccLefbLRBKPFzJ9YCf+Oq0/3m5mW4cl7IAMAxUdW1kerJsH298Bv24w4y2IHGHrqFpcda2Ff68/zIKfk/Bzd2LeNdGyf4ZodAKQJiDRPrn5we/+D25facw4XjwZPrzG2LnMjr/0NJXZ5MAjE3vw1YOj8XN34p4P4nj4k10yUkg0ilwBiPavshi2vg3bFkFJJoQMgAn/ayxG144mVlXVWFi44TBvrE3Cw9mRZ6/qw8wh4TJ5rANqsSsApdRipVSWUmrPaWV+Sqk1Sqkk609fa7lSSi1QSiUrpRKUUoNPO2a2tX6SUmp2c9+YEE3m7AnjnoTHEo2JY5XF8MkseOdyOPCtsWx1O+DkaFwNfPvIWLoHefD7zxOYtWgL247kUWux3y96wnYavAJQSo0DSoAPtNb9rWWvAHla65eUUs8Avlrrp5VSVwEPA1cBw4F/aq2HK6X8gDggBtDADmCI1jr/fK8tVwCiVdRWG0tTx74KhWngHWHMJ+h/rbHwXDtgsWg+25HG3787QGF5Nb5uZib0CuL6mHBGdvVv8KpAay1XDm1Yi3YCK6WigG9OSwAHgfFa6wylVCiwXmvdSyn1tvX+J6fXO3XTWt9rLT+j3rlIAhCtqrYGDn5nLClxJNYoC+wD/WZAzF3tYvXRoopqNhzMZu2BLNYeyKKwvJpewZ7cNCyCXiFeRPi5ApCUWcKhzGL2ZRSx90QRR3JK8XJxJMTblRAvZ0K8XQj2ciE6zJuxPQJxcpTuQ3vW2msBBWutMwCsSSDIWh4GpJ1WL91adq5yIWzH5Ah9pxm3/FQ48J2RENa/BL/8AwbeZOxL4N/N1pE2m5eLmasv6cTVl3SiorqWlfEneO/XVJ5fVf8ciU7eLvTt5MXEPkEUV9SQWVjByaIKEo8XklNiLLfh62ZmSv9QQrxcqLFYUECItyvhvq70DvEkyKv9LtDX3rT0YnD1XTPq85SffQKl5gJzASIjZTMMcZH4RsHIB4xbThL8+gbEfwI7P4D+1xt9CIG9bB3lBXExm7hhaAQzY8I5llfGsbwy0vLKsWhNrxBPegZ5nnceQUV1LZuSc/gq/gQrdqVTUW2p60M/1ZDgoGBcz0BuiIng8j7BcqVg56QJSFxU1bXVxGXGEZsey4mSE3g4eeBudqeXby/GhI0h2N2OxrAXnzQSQdxiqC4DFx9j+0rPUIgYZqxQGjECnDveHr6nOpVNDoqaWguZxZWk55WxMTmHz3ekk1FYgZeLI1f2D2XawE4M6+KH2STJ4GJp7T6AV4Hc0zqB/bTWv1dK/Q54iP92Ai/QWg+zdgLvAE6NCtqJ0Ql83hWtJAG0XaXVpezL3cfhgsMcKTzCidITZJZmcrToKGU1ZTibnInwjKCsuoyiqiJKqksA6O7TnZ6+PYnyjqKPXx9Gh43G7GB8Kz1adJQvkr6gh08PJkdNxsnkdJHeTA7ELzV2LSvLhfyjkBEPlhpQJmOF0siR0OMK6HKp0bTUgdVaNL8kZbMy/gSr956ktKoWT2dHRnX357LeQfxuQCc8nDv276i1tVgCUEp9gvENPgDIBJ4DvgKWA5HAMWCm1jpPGcMG/gVMAcqAOVrrOOt57gT+YD3tPK31ew0FJwmgbfol/Rf+uOmP5FUY+d3d7E6YRxjBbsGEeYQxOmw0w0OH4+podEBqrUkuSOaX47+wLWMbKYUpZJQa69v4u/gzvft0cspz+CblG7TWaDR+Ln5c1+M6ruh8Bb39jN2ycspz2HxiM+U15Xg6eeLr4suQ4CF1CaRFVZVC2lY4uhmObYb0OKgpB7cAo08hcqSxjaV/d3AwtfzrtxHlVbVsOJTFhkPZxB7K4XhBOR7OjswY1InbR0bRM9jT1iG2S7IUhLjoqmurWbBrAe/vfZ8evj14bPBj9PTtSbBbcJOHFJbXlLP95HY+P/Q5semxmB3MzOo1izv638Gh/EN8vP9jYtNj0WgCXQPxdfHlUP6hs87T178v80bPo7tv95Z6m/WrroDkn2DPF3DoB6PJCMDJAzoNgvChENzP6Gvw6dwuRhg1ldaaXWkFfLTlKN8kZFBVY2Fcz0DuHtOFsT0CZNhpC5IEIC6qwspCHlv3GHGZcczqNYsnY57ExbFlRoPklufi6OCIt7P3GeU55TlsPL6R2PRYiiqLGNFpBKM6jSLQNZDiqmL25u5lftx8iquKubbHteRV5HEw7yABrgE8POhhYkIa/P/RPLU1kHPIaCY6vhOOxxk7mVlq/lvHOwI6j4KoMdBzCngEnft87VBeaRWfbDvG+7+mkl1cSUxnX56f1o/+Yd4NHywaJAlAXDTHS47zwE8PkFacxl9H/5WpXafaOqQ6ueW5zNs6j5+P/Uy4Rzg9fXuSkJNAVlkWEyImMDlqMmEeYUR6ReLn0oobzVeXQ94RKDgGeSnW5qNNUJoNysFoMup3DURfD66+rReHnamsqeWLHcf5x5qD5JZWMSsmgqcm98Lfw9nWobVpkgDERbElYwvPxD5DlaWKBRMWtN636gtUY6nB0cHoeCyvKeejfR/x7p53Ka0uratzWcRl3DPgHvoH9L84QWkNmXtg/zewfyVk7QNHF+gzDYbdY4w06iCKKqpZ8FMS7/+aipuTiacm9+Lm4Z1l/+NmkgQgWlVZdRmv7XiNZQeXEeUVxT8n/JOuPm1rGYXK2krSi9M5XnKc+Kx4Pj34KUVVRYwIHcHcAXMZGjL04gaUsRt2fggJy6GyECJHwZjHoPsV4NAxhlAmZRbz3Mq9/Ho4l2AvZ0K8XfF1MxMd5s01g8LoGtjxhtw2hyQA0WqKqoq47bvbSClM4dY+t/Lo4EdbrL3flkqrS1l+cDlL9i4htyKXwUGDmdptKlFeUXT26oy/iz+mizGip6rUmID267+gKB08OxnrFPW7FjoNbPejirTWfJd4ktV7T5JfVkVeaRX7M4qwaBgY4cPUAaFM7hdChF/72+SnpUgCEK1Ca80T659gfdp6/jXxX4wOG23rkFpcRU0FXyZ9yeI9i8ksy6wrd1AO+Dr7EukVyX2X3MeoTqNaN5DaaqNpKOEzY4SRpdqYjNZlHHQdb9z8urarJa3PJbOogq/jj7Ni1wn2ZxQB0D/MiwfGd2dKvxAcpKnoDJIARKtYun8pL217iSdjnmR2v/a9qrdFWzhZepLUolSOFR0juzyb3PJctp3cRlpxGpdHXs6TQ58kzOMiLGtVlmckgZQNkLLeuDIAYzRR1Bhjt7OIEca6Rab2vS3ksdwyftx3kmXb00jOKqFPqBd3j+nCqO7+hHq72jq8i0prTVpeOfsyCknPLyfU25XO/m5Eh/tIAhAtKz4rnjmr5zCm0xgWXLagw47brqqtYsneJSxKWES1pZpJnSdxa99bGRA44OIEoDXkHoYj641kcHQzlOUYzykT+ESAbxfwDgOvMGMuwqmlt8xu4OxljDTy62LMSXC8SDOqW1itRbNy93H++VMSqbnGvIsIP1eGdvZjcGdfBkf60iPYo00tQVFdayG7uJITBeWk5ZeRnmf9mV9OXmkVFq3RGqpqLZRW1lBcUUNljeWs8xx9eaokAHHhKmoqWJWyilWHV7Eraxeh7qF8dvVnZ43J74hOlp7ko30f8UXSF5RUlxDiHkJ0QDT9/PsR4h6Cv6s/nT07E+oR2rqBnEoIx+MgN9kYZpqfCoXHjR3Q6l930aBMENgbul5qLGMRNdrYQKcNqbVo9mcUsfVIHtuO5LLjaH7dyqVmk6JboAeDIn24Y1QXeoU07b1lFVWwK62grg/C2bq4XUFZFXml1QR7OTNjUNhZM5otFs3xgnKSs0tIyS7lSE4JZVW1OJkccDQZX5wsGiqrLWSXVJJdXEl2cQW5pVVn7Vga6OlMuK8rgR7OOCiFUsbmP+7Ojng6O9IlwJ0+oV5E+rmRUVjBsbxSrozuJAlAXJjk/GSein2K5IJkunp35epuVzOj+wwCXANsHZpdKa0u5duUb4k7GUdiTiLpJelnPD8hYgJ39r+TgUEDL35wtdVQc9r+wNVlxo5opTlGoshNguM74NgWqKkAB0cIizH6F3pONmYxt7ErvVPNIrvS8jlwspiDJ4vZkpJLWVUtl/cJomewJwnphezLKEJrjbuzIx7OjriYTbiYHbBoyC+tIrfU6ICuj6vZhK+bmaziSmosmv5hXoR4uVBeXUtheTUp2aWUVf13pzlPF0e8XMxU11qosWgUoJTCbFIEejoT5OlMoKcLQZ7OBHk508nHlQhfN8J9XXExN73TX/oAxAX54tAXvLTtJdzMbvxt9N8YGza2wzb5NFVxVXFdf8HWjK0sO7iMwspCunl3Y1DwIAYHDWZUp1H4u/rbOtT/qq4wJqcdsfYxnNgF2mKMQOo5yRiSGjncaDJqg38H+aVVLNmcyvu/plJSUUOvEE+iw7wxmxworayhtKqG8moLFVW1oMDf3QkfNye6BbozKNKHfp28cTI5UFVrNLec+lDOKalkZfwJvkk4QXm1BTcnEx7Wb+U9gz3pHuRB10B3/N2dLur/H0kAollqLbXMj5vPR/s/YkToCF4c+6J8479AZdVlfJX8FbHHY0nISqC4uhgH5cDQ4KFc0fkKhoYMJco7CgdlR23VpbmQ9CMc/BYOr4eqYqPcvzsMmAUDbjDWNWpjqmosWLRu1rfqtkQSgGiyipoK/rDxD6w5uoZb+9zKkzFPXpxx7x1IraWWQ/mH+OnYT6xOXc3RoqMAeDl5MSZsDI8MfuTijCpqCkutMUv56GbY9zUc3WiUhw8zlq/oO93ocBZ2QxKAaJK8ijweXfsou7N382TMk9ze73Zbh9Tuaa1JLUolPiue+Ox4vj/yPRZtYU7/OUzrNg1vZ288zB72dWUAxnpGCcth71eQmWiU+XU11jOKGG7cAnp2mNnL9kgSgGi0lMIUHvzpQbLLs5k3Zh6ToybbOqQO6WTpSf6x4x98f+T7ujKTMhHhGUEX7y509+lO/4D+DAgcYD/NcjlJcPB7oxM5bYuxYQ6AizeEDDASQUAPYwKb2dUYkurmZ+ysZjIbHdJVJeDoCq4+4OoH5rY/q9zWJAGIRtmWsY3H1j+G2cHMG5e9cfHGsotz2pu7l6T8JIoqi8ivzOdo0VEOFxzmaNFRarUxsqSbdzemd5/O1d2utp9koPV/VzpN2wqZ+yDnIFQUNu08np2MCW2+UeAeCO4B4BFsbMXp1cnoiJari/OSBCAa9EPqD/zhlz8Q6RnJm5e/aX9tz+IMFTUVHMg7wO7s3fx87Gd2Ze3CpEz09utNP/9+9A/ozxWdr8DDyY4WTNPauCqoLDKWxK4sNmY1l+UYfQvOnsZVQU05lBdYh6ceNq4sCtOMY0/fRwGMSWynRiUF9DKShU8kOMoS0qdIAhDntXT/Ul7e9jKDggax4LIFMrGrDTpSeIRvUr5hd9Zu9uXuo7i6GHezOzO6z2BI8BB2Zu5kR+YOXB1dGRM2hlFho4j0jMTD7NF2hvRqDRUFUJIFRSeM/of0bZC6CfKPnFnXxdu4YvDrZuy+FtTXugNbpLHhTlt5zy1AEoCol9aaf8X/i0UJi5gQMYFXxr3SLlby7Ogs2sLenL18fOBjfkj9gRpLDc4mZwYGDqS4uph9ufvq6joqRwLcAujn34/ogGgGBA6gf0D/uj2a24yyPGMGdG4yFKZDaZYx8zkn2Wh6Ov3KwdHFSAz+3Yw+CDCSy6mJcbVVRtNSQA+j7yJyJJja7sb1kgDEWWottczbOo/PDn3GtT2u5U8j/lS3SYpoP7LLskkvSaevf1+cTUazSE55DtsytpFdnk1+RT4ZpRnsydnDseJjgJEUevv1ppdfLzp7daazV2dC3UMJcQ/Bx9nnjCuGnPIcPtr3EdWWanxdfAl1D2VS1CTMDna0CF1NlZEYCo4ZTUn5qdZkkWR84J/i5G40QymTcUVRnm+UuwVAn6lGIvCJNJKDV6c2cxUhCUCc4UTJCV7a9hLr0tZxd/TdPDLokbbTDCBaTX5FPok5iXVDUQ8XHCavIu+MOj7OPkyOmszUrlNJ7I1NxwAADMZJREFUzEnkrfi3qKipwGwyU15TDkB0QDQvjn2Rzl6d644rrCwkvSSdkyUnUUrhbHLG3exOqHsogW6B9je8FYwJcEc3GkNcD62G03aMw9kbQv6/vbMPjuq6Dvjv7IdW2tW3kABFCDwYTMB2g1uDAxkHh0kmdTN2nDiuSRPM1DOe/uGmnXEm9rSdpo2nrafp1E3bTBrquo3bjBMIZXA8bm3/YaYmjgP+SPiyrcgkIAmQQB/srj728/SP+yQvAgkJpN3V7vnN7Lz37r17dd7V3Xfeveeec2+EJTe5EBmttzjHuCI0SJsCMADoinax88hOnn//eRB45Dcf4Utrv1RosYwi5kLiAl2xLs4Mn6F3uJdfnPsFr3S9QiLjYgpt/tBmHrv1MVbUrWAsPcb+rv08/vrjpLIp7rzuTrpiXXQMdjCUGJrybwR9QW5dciuP3vpo8e4kl066EcTQSTc66D3utvA8e/QDxVBZ58Jwt9/mpo6ab4C6toKPFEwBlDkXEhf47uHv8uy7z+IXP/euvpcd63awJLKk0KIZC5BYMsb+rv00VjayqXXTJaPH3uFevv7Tr/N279tcX389qxpWcV3ddbRVt7GkegmCkMwkiSVjnI6f5lTsFHs79zKaGmX7uu1sWbaFCn8F2WyWY/3H+Pm5nzOSGuHjbR/njvY7aKxsLNCdX4ZsBs69B6ffcstdT70O5zs+yPeHnM+Dv8J9AiH3qV7sbAxNq6BhudvLoWaJt8ObODvFHIXmNgVQhqgq7w68y4u/fpEf/fJHRBNR7ll1Dw9/5GGaw82FFs8oA1R1xlOL/aP9PPnmk+x7f98leYuqFhHyh+iJ9+ATH7ctvY37Vt/H7ctuLy5bwzgjA9D3jjM+D/zKRWDNJL1jwh2jPc5AnYxNXU9FtXOGq6z17BO1bt+GplUfLHUNVEJF2NkuQrXOyW6SwdoUQBkRT8bZ27mXH773Q05GT+IXP5taN/GVW77CmsY1hRbPMKblxIUTnI2fZSwzhqKsaVxDa6QVgI7BDl46+RL7OvfRO9JLU2UTbTVthPwhgv4gQQkS8AXw+/z4xEdAAoSDYepD9TRUNrCoahEt4RaWRpayOLy48HYvVbdSadw4He9zUVc16/wkRgedMknGnbF6bAj6T0yvNMD5RoSbINICkUXI/f9lCqDUOT96nmeOPcPujt3EU3HWt6znrpV3sbV9Kw2VDYUWzzDmjHQ2zYGeA7xw4gWGEkMkMgmSmSRpTZPOuk9Ws2Q0QzwVJ5qIopM2wqkOVrOyfiXtNe00h5tpCbewrmkd65rWESzmbTTHlcaFHm80MQZJb/lqIuo51vXD8Dl3jPchf3jIFEApoqq8P/Q+uzp2sadjD2lN86nln2L72u3c1HxTocUzjKIgk80QTUY5N3qOvpE+emI9dA510jnUyen4afpG+0h7fgIhf4i1TWtZVLWI2opaaipqCAfDRAIRqoJVhPwhqgJVtEZaaa9tp6ai+HdMm+kUkC0CXwAMjg1yoOcAr/a8ysEzB+kf6ycgAe66/i4evPFB2mvbCy2iYRQVfp+fhsoGGiobWN2w+pL8rGbpH+3n8LnDvNH7Bsf7j3Ni6ATRZJRoMjqx4uly1IfqaQm30BxupjZYOzEFVVdRR1NVE42VjdSF6qgL1VEVqEJVyZLFL34q/BUTCiUcCBPyhy6ZlkplU2TVlfeLf16nrfKuAETk08C3AD/wlKo+kW8ZihlVJZaKcez8MQ6dPcTBswc5cv4IWc3SVNnExqUb2bh0I5tbN7M4srjQ4hrGgsQnPprDzWxdvpWty7dekp/OphlODTOWHiORSTCSHqEn1sOp2Cm6Y930jfbRN9JHd6ybdDZNKpsimogylhmblRx+8VMVqHKKAiWejF9SRyQYoTpYTVWgChFBVVGUTDaDokSCERpCDdRU1JDRzETAwJmQVwUgIn7g28AngW7gkIg8p6rHp//mwiOrWWLJGNFElIHEAINjgwwlhogn48RSLn0oMUQ0GWUkNcJoenRiK8Fx5xq/+FnbtJaHbn6ILW1b+HDTh4vTecYwSoyALzDxFj/OlRZUqCoj6REGRge4kLxANBFlND2KiCAIWc2SzCadQkmNMJIemfjtj//maypqqA5W4/f5yWQzpLIphlPDxFPxiTIAPnz4fD58+IilYgyNDdEf7XeG8Fl49+d7BLAB6FTVEwAi8gPgbuCyCuDs8Fm+eeibs/oDuYaf6ewbik5o0qxmL87z0ifXlcqmSGQSEwaoZCZJMptkND068aaQzqZJZpIMp4YvMULlEglGqA/VU1tRSzgYpqGy4SLj1Mr6laxvWU8kGJnV/RuGURhEhEgwQiQYYRnLCirLLnbNqFy+FcCHgK6c625gY24BEXkIeMi7THxtw9eOeud1wCwDi09JOde1CDg/R3VdDaVQ10zasBTuM591XU2/nIpivcf5riu3DW+YUS2qmrcP8AXcvP/49ZeBf5qm/Bs55zvnUI6yrSu3TYtJroVU10zasBTuM891zbpfLsB7nNe6Jj0vZ9Se+Z5Q7oaLxkZtwOkZfvfHcyiH1WV1zWddc11fOdQ1lxTrPRZdXXn1AxCRANABbAV6gEPAF1X12BTl39AZrGU1Zo616bVjbTj3WJteO7ltONP2zKsNQFXTIvIw8CJuGejTUz38PXbmR7Kywtr02rE2nHusTa+dnVOcT0lRewIbhmEY84ctKjcMwyhTTAEYhmGUKQVVACKiIvKfOdcBETknIs8XUq6Fjojc47WtxYKeJdYn5w8RiRdahlLiSu0pIvtFZFpDcKFHAMPAjSJS5V1/Erc6aMZ4K4uMi9kGHADun82XvFAd5c4190nDWCgUWgEA/A/wO975NuDZ8QwR2SAir4nI297xBi99h4jsFpEfAy/lX+TiRUSqgc3Ag3gKQES2iMj/icheETkuIv8i4oI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- "dbds.loc['2020-03-01':'2020-07-02', ['cases_m7', 'admissions_m7', 'deaths_m7']].plot(ylim=(0, 6000))"
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- "cell_type": "code",
- "execution_count": 506,
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- "execution_count": 507,
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- " <td>0.000000</td>\n",
- " <td>NaN</td>\n",
- " <td>0.000000</td>\n",
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- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-01-01</td>\n",
- " <td>0</td>\n",
- " <td>0</td>\n",
- " <td>0</td>\n",
- " <td>0</td>\n",
- " <td>0.0</td>\n",
- " <td>0.0</td>\n",
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- " <td>0.000000</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>0.000000</td>\n",
- " <td>0.000000</td>\n",
- " <td>NaN</td>\n",
- " <td>0.000000</td>\n",
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- " <td>NaN</td>\n",
- " <td>0.000000</td>\n",
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- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-01-02</td>\n",
- " <td>0</td>\n",
- " <td>0</td>\n",
- " <td>0</td>\n",
- " <td>0</td>\n",
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- " <td>0.000000</td>\n",
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- " <td>0.000000</td>\n",
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- " <td>0.000000</td>\n",
- " <td>0.000000</td>\n",
- " <td>NaN</td>\n",
- " <td>0.000000</td>\n",
- " <td>0.000000</td>\n",
- " <td>NaN</td>\n",
- " <td>0.000000</td>\n",
- " <td>0.000000</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-01-03</td>\n",
- " <td>0</td>\n",
- " <td>0</td>\n",
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- " <td>0.000000</td>\n",
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- " </tr>\n",
- " <tr>\n",
- " <td>2020-01-04</td>\n",
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- " <td>0.000000</td>\n",
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- " </tr>\n",
- " <tr>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-12-10</td>\n",
- " <td>16578</td>\n",
- " <td>533</td>\n",
- " <td>1766819</td>\n",
- " <td>62566</td>\n",
- " <td>4297.0</td>\n",
- " <td>-66.0</td>\n",
- " <td>15366.142857</td>\n",
- " <td>409.571429</td>\n",
- " <td>343.603005</td>\n",
- " <td>380.495816</td>\n",
- " <td>...</td>\n",
- " <td>1568.428571</td>\n",
- " <td>0.606611</td>\n",
- " <td>0.434591</td>\n",
- " <td>0.503370</td>\n",
- " <td>26.770284</td>\n",
- " <td>28.386139</td>\n",
- " <td>12.796037</td>\n",
- " <td>28.881533</td>\n",
- " <td>36.940594</td>\n",
- " <td>13.926573</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-12-11</td>\n",
- " <td>20964</td>\n",
- " <td>516</td>\n",
- " <td>1787783</td>\n",
- " <td>63082</td>\n",
- " <td>4386.0</td>\n",
- " <td>-17.0</td>\n",
- " <td>16235.571429</td>\n",
- " <td>424.142857</td>\n",
- " <td>420.064891</td>\n",
- " <td>392.657665</td>\n",
- " <td>...</td>\n",
- " <td>1601.714286</td>\n",
- " <td>0.640933</td>\n",
- " <td>0.450053</td>\n",
- " <td>0.514053</td>\n",
- " <td>28.284968</td>\n",
- " <td>29.396040</td>\n",
- " <td>13.067599</td>\n",
- " <td>36.522648</td>\n",
- " <td>35.762376</td>\n",
- " <td>13.355478</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-12-12</td>\n",
- " <td>21672</td>\n",
- " <td>424</td>\n",
- " <td>1809455</td>\n",
- " <td>63506</td>\n",
- " <td>708.0</td>\n",
- " <td>-92.0</td>\n",
- " <td>17003.285714</td>\n",
- " <td>412.714286</td>\n",
- " <td>514.093837</td>\n",
- " <td>383.080949</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>0.671240</td>\n",
- " <td>0.437926</td>\n",
- " <td>NaN</td>\n",
- " <td>29.622449</td>\n",
- " <td>28.603960</td>\n",
- " <td>NaN</td>\n",
- " <td>37.756098</td>\n",
- " <td>29.386139</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-12-13</td>\n",
- " <td>21501</td>\n",
- " <td>520</td>\n",
- " <td>1830956</td>\n",
- " <td>64026</td>\n",
- " <td>-171.0</td>\n",
- " <td>96.0</td>\n",
- " <td>17855.000000</td>\n",
- " <td>430.285714</td>\n",
- " <td>496.234012</td>\n",
- " <td>398.139480</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>0.704864</td>\n",
- " <td>0.456571</td>\n",
- " <td>NaN</td>\n",
- " <td>31.106272</td>\n",
- " <td>29.821782</td>\n",
- " <td>NaN</td>\n",
- " <td>37.458188</td>\n",
- " <td>36.039604</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-12-14</td>\n",
- " <td>18447</td>\n",
- " <td>144</td>\n",
- " <td>1849403</td>\n",
- " <td>64170</td>\n",
- " <td>-3054.0</td>\n",
- " <td>-376.0</td>\n",
- " <td>18023.000000</td>\n",
- " <td>417.857143</td>\n",
- " <td>357.762938</td>\n",
- " <td>372.146458</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>0.711496</td>\n",
- " <td>0.443383</td>\n",
- " <td>NaN</td>\n",
- " <td>31.398955</td>\n",
- " <td>28.960396</td>\n",
- " <td>NaN</td>\n",
- " <td>32.137631</td>\n",
- " <td>9.980198</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "<p>350 rows × 24 columns</p>\n",
- "</div>"
- ],
- "text/plain": [
- " cases deaths cases_culm deaths_culm cases_diff deaths_diff \\\n",
- "2019-12-31 0 0 0 0 NaN NaN \n",
- "2020-01-01 0 0 0 0 0.0 0.0 \n",
- "2020-01-02 0 0 0 0 0.0 0.0 \n",
- "2020-01-03 0 0 0 0 0.0 0.0 \n",
- "2020-01-04 0 0 0 0 0.0 0.0 \n",
- "... ... ... ... ... ... ... \n",
- "2020-12-10 16578 533 1766819 62566 4297.0 -66.0 \n",
- "2020-12-11 20964 516 1787783 63082 4386.0 -17.0 \n",
- "2020-12-12 21672 424 1809455 63506 708.0 -92.0 \n",
- "2020-12-13 21501 520 1830956 64026 -171.0 96.0 \n",
- "2020-12-14 18447 144 1849403 64170 -3054.0 -376.0 \n",
- "\n",
- " cases_m7 deaths_m7 deaths_g4 deaths_g7 ... \\\n",
- "2019-12-31 0.000000 0.000000 0.000000 0.000000 ... \n",
- "2020-01-01 0.000000 0.000000 0.000000 0.000000 ... \n",
- "2020-01-02 0.000000 0.000000 0.000000 0.000000 ... \n",
- "2020-01-03 0.000000 0.000000 0.000000 0.000000 ... \n",
- "2020-01-04 0.000000 0.000000 0.000000 0.000000 ... \n",
- "... ... ... ... ... ... \n",
- "2020-12-10 15366.142857 409.571429 343.603005 380.495816 ... \n",
- "2020-12-11 16235.571429 424.142857 420.064891 392.657665 ... \n",
- "2020-12-12 17003.285714 412.714286 514.093837 383.080949 ... \n",
- "2020-12-13 17855.000000 430.285714 496.234012 398.139480 ... \n",
- "2020-12-14 18023.000000 417.857143 357.762938 372.146458 ... \n",
- "\n",
- " admissions_m7 cases_m7n deaths_m7n admissions_m7n cases_m7nd \\\n",
- "2019-12-31 NaN 0.000000 0.000000 NaN 0.000000 \n",
- "2020-01-01 NaN 0.000000 0.000000 NaN 0.000000 \n",
- "2020-01-02 NaN 0.000000 0.000000 NaN 0.000000 \n",
- "2020-01-03 NaN 0.000000 0.000000 NaN 0.000000 \n",
- "2020-01-04 NaN 0.000000 0.000000 NaN 0.000000 \n",
- "... ... ... ... ... ... \n",
- "2020-12-10 1568.428571 0.606611 0.434591 0.503370 26.770284 \n",
- "2020-12-11 1601.714286 0.640933 0.450053 0.514053 28.284968 \n",
- "2020-12-12 NaN 0.671240 0.437926 NaN 29.622449 \n",
- "2020-12-13 NaN 0.704864 0.456571 NaN 31.106272 \n",
- "2020-12-14 NaN 0.711496 0.443383 NaN 31.398955 \n",
- "\n",
- " deaths_m7nd admissions_m7nd cases_nd deaths_nd admissions_nd \n",
- "2019-12-31 0.000000 NaN 0.000000 0.000000 NaN \n",
- "2020-01-01 0.000000 NaN 0.000000 0.000000 NaN \n",
- "2020-01-02 0.000000 NaN 0.000000 0.000000 NaN \n",
- "2020-01-03 0.000000 NaN 0.000000 0.000000 NaN \n",
- "2020-01-04 0.000000 NaN 0.000000 0.000000 NaN \n",
- "... ... ... ... ... ... \n",
- "2020-12-10 28.386139 12.796037 28.881533 36.940594 13.926573 \n",
- "2020-12-11 29.396040 13.067599 36.522648 35.762376 13.355478 \n",
- "2020-12-12 28.603960 NaN 37.756098 29.386139 NaN \n",
- "2020-12-13 29.821782 NaN 37.458188 36.039604 NaN \n",
- "2020-12-14 28.960396 NaN 32.137631 9.980198 NaN \n",
- "\n",
- "[350 rows x 24 columns]"
- ]
- },
- "execution_count": 507,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "data_by_day"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 508,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "data_by_day['cases_m7n_date'] = data_by_day.cases_m7 / data_by_day.cases_m7.loc[normalisation_date]\n",
- "data_by_day['deaths_m7n_date'] = data_by_day.deaths_m7 / data_by_day.deaths_m7.loc[normalisation_date]\n",
- "data_by_day['admissions_m7n_date'] = data_by_day.admissions_m7 / data_by_day.admissions_m7.loc[normalisation_date]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 509,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<matplotlib.axes._subplots.AxesSubplot at 0x7f418923ee50>"
- ]
- },
- "execution_count": 509,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
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\n",
- "text/plain": [
- "<Figure size 432x288 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "data_by_day.loc[normalisation_date:, ['cases_m7n_date', 'admissions_m7n_date', 'deaths_m7n_date']].plot()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": []
- }
- ],
- "metadata": {
- "kernelspec": {
- "display_name": "Python 3",
- "language": "python",
- "name": "python3"
- },
- "language_info": {
- "codemirror_mode": {
- "name": "ipython",
- "version": 3
- },
- "file_extension": ".py",
- "mimetype": "text/x-python",
- "name": "python",
- "nbconvert_exporter": "python",
- "pygments_lexer": "ipython3",
- "version": "3.7.4"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
+++ /dev/null
-{
- "cells": [
- {
- "cell_type": "code",
- "execution_count": 91,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "The sql extension is already loaded. To reload it, use:\n",
- " %reload_ext sql\n"
- ]
- }
- ],
- "source": [
- "import itertools\n",
- "import collections\n",
- "import json\n",
- "import pandas as pd\n",
- "import numpy as np\n",
- "from scipy.stats import gmean\n",
- "import datetime\n",
- "\n",
- "import sqlalchemy\n",
- "\n",
- "import matplotlib as mpl\n",
- "import matplotlib.pyplot as plt\n",
- "%matplotlib inline\n",
- "%load_ext sql"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 92,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "connection_string = 'postgresql://covid:3NbjJTkT63@localhost/covid'"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 93,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "'Connected: covid@covid'"
- ]
- },
- "execution_count": 93,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "%sql $connection_string"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 94,
- "metadata": {},
- "outputs": [],
- "source": [
- "conn = sqlalchemy.create_engine(connection_string)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 95,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "normalisation_date = '2020-08-01' # '2020-05-15'\n",
- "\n",
- "hospital_normalisation_date = {\n",
- " 'hospital_normalisation_date': normalisation_date\n",
- "}\n",
- "\n",
- "with open('hospital_normalisation_date.json', 'w') as f:\n",
- " json.dump(hospital_normalisation_date, f)\n",
- " \n",
- "hnd = pd.to_datetime(normalisation_date).strftime(\"%d %B %Y\")\n",
- "with open('hospital_normalisation_date.js', 'w') as f:\n",
- " f.write(f\"document.write('{hnd}');\")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 109,
- "metadata": {},
- "outputs": [
- {
- "data": {
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- " <th>new_admissions</th>\n",
- " <th>new_admissions_7</th>\n",
- " <th>new_cases</th>\n",
- " <th>new_cases_7</th>\n",
- " <th>new_deaths</th>\n",
- " <th>new_deaths_7</th>\n",
- " <th>hospital_cases</th>\n",
- " <th>hospital_cases_7</th>\n",
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- " <tr>\n",
- " <th>2021-01-22</th>\n",
- " <td>3341.0</td>\n",
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- " <td>4076.0</td>\n",
- " <td>4015.8572</td>\n",
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- " <th>2021-01-23</th>\n",
- " <td>NaN</td>\n",
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- " <td>22463.666</td>\n",
- " <td>1348</td>\n",
- " <td>1241.7142</td>\n",
- " <td>37266.0</td>\n",
- " <td>37915.600</td>\n",
- " <td>4066.0</td>\n",
- " <td>4027.3333</td>\n",
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- " <th>2021-01-24</th>\n",
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- " <td>NaN</td>\n",
- " <td>610</td>\n",
- " <td>NaN</td>\n",
- " <td>37561.0</td>\n",
- " <td>NaN</td>\n",
- " <td>4077.0</td>\n",
- " <td>NaN</td>\n",
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- " <th>2021-01-25</th>\n",
- " <td>NaN</td>\n",
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- " <th>2021-01-26</th>\n",
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- " new_admissions new_admissions_7 new_cases new_cases_7 \\\n",
- "date \n",
- "2021-01-22 3341.0 3771.7500 29094.0 24870.428 \n",
- "2021-01-23 NaN 3651.6667 20495.0 22463.666 \n",
- "2021-01-24 NaN NaN 14266.0 NaN \n",
- "2021-01-25 NaN NaN 4482.0 NaN \n",
- "2021-01-26 NaN NaN NaN NaN \n",
- "\n",
- " new_deaths new_deaths_7 hospital_cases hospital_cases_7 \\\n",
- "date \n",
- "2021-01-22 1401 1238.7142 38144.0 38057.168 \n",
- "2021-01-23 1348 1241.7142 37266.0 37915.600 \n",
- "2021-01-24 610 NaN 37561.0 NaN \n",
- "2021-01-25 592 NaN NaN NaN \n",
- "2021-01-26 1631 NaN NaN NaN \n",
- "\n",
- " ventilator_beds ventilator_beds_7 \n",
- "date \n",
- "2021-01-22 4076.0 4015.8572 \n",
- "2021-01-23 4066.0 4027.3333 \n",
- "2021-01-24 4077.0 NaN \n",
- "2021-01-25 4032.0 NaN \n",
- "2021-01-26 NaN NaN "
- ]
- },
- "execution_count": 109,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "qstr = '''select uk_data.date\n",
- " , uk_data.new_admissions, uk_data_7.new_admissions as new_admissions_7\n",
- " , uk_data.new_cases, uk_data_7.new_cases as new_cases_7\n",
- " , uk_data.new_deaths, uk_data_7.new_deaths as new_deaths_7\n",
- " , uk_data.hospital_cases, uk_data_7.hospital_cases as hospital_cases_7\n",
- " , uk_data.ventilator_beds, uk_data_7.ventilator_beds as ventilator_beds_7\n",
- " from uk_data left outer join uk_data_7 using (date)\n",
- " order by uk_data.date'''\n",
- "hd2 = pd.read_sql_query(qstr, conn)\n",
- "hd2['date'] = hd2.date.astype('datetime64[ns]')\n",
- "hd2.set_index('date', inplace=True)\n",
- "hd2.tail()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 111,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "390 rows affected.\n",
- "Returning data to local variable res\n"
- ]
- }
- ],
- "source": [
- "%%sql res << select uk_data.date\n",
- " , uk_data.new_admissions, uk_data_7.new_admissions as new_admissions_7\n",
- " , uk_data.new_cases, uk_data_7.new_cases as new_cases_7\n",
- " , uk_data.new_deaths, uk_data_7.new_deaths as new_deaths_7\n",
- " , uk_data.hospital_cases, uk_data_7.hospital_cases as hospital_cases_7\n",
- " , uk_data.ventilator_beds, uk_data_7.ventilator_beds as ventilator_beds_7\n",
- " from uk_data left outer join uk_data_7 using (date)\n",
- " order by uk_data.date"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 112,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
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- " <th>new_cases</th>\n",
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- " <th>2021-01-17</th>\n",
- " <td>3725.0</td>\n",
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- " <th>2021-01-18</th>\n",
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- " <th>2021-01-19</th>\n",
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- " <td>39311.0</td>\n",
- " <td>34143.285</td>\n",
- " <td>1610</td>\n",
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- " <td>38765.0</td>\n",
- " <td>38348.430</td>\n",
- " <td>3947.0</td>\n",
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- " </tr>\n",
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- " <th>2021-01-20</th>\n",
- " <td>4016.0</td>\n",
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- " <td>32707.428</td>\n",
- " <td>1820</td>\n",
- " <td>1248.4286</td>\n",
- " <td>38650.0</td>\n",
- " <td>38294.000</td>\n",
- " <td>3953.0</td>\n",
- " <td>3969.8572</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2021-01-21</th>\n",
- " <td>3598.0</td>\n",
- " <td>3828.2000</td>\n",
- " <td>31430.0</td>\n",
- " <td>30620.428</td>\n",
- " <td>1290</td>\n",
- " <td>1239.7142</td>\n",
- " <td>37957.0</td>\n",
- " <td>38217.715</td>\n",
- " <td>3960.0</td>\n",
- " <td>3999.2856</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2021-01-22</th>\n",
- " <td>3341.0</td>\n",
- " <td>3771.7500</td>\n",
- " <td>29094.0</td>\n",
- " <td>24870.428</td>\n",
- " <td>1401</td>\n",
- " <td>1238.7142</td>\n",
- " <td>38144.0</td>\n",
- " <td>38057.168</td>\n",
- " <td>4076.0</td>\n",
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- " <th>2021-01-23</th>\n",
- " <td>NaN</td>\n",
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- " <td>22463.666</td>\n",
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- " <td>1241.7142</td>\n",
- " <td>37266.0</td>\n",
- " <td>37915.600</td>\n",
- " <td>4066.0</td>\n",
- " <td>4027.3333</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2021-01-24</th>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>14266.0</td>\n",
- " <td>NaN</td>\n",
- " <td>610</td>\n",
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- " <tr>\n",
- " <th>2021-01-25</th>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>4482.0</td>\n",
- " <td>NaN</td>\n",
- " <td>592</td>\n",
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- " new_admissions new_admissions_7 new_cases new_cases_7 \\\n",
- "date \n",
- "2021-01-17 3725.0 3939.0000 28875.0 37337.855 \n",
- "2021-01-18 4054.0 3872.8572 44732.0 35766.570 \n",
- "2021-01-19 4132.0 3825.8572 39311.0 34143.285 \n",
- "2021-01-20 4016.0 3811.0000 35015.0 32707.428 \n",
- "2021-01-21 3598.0 3828.2000 31430.0 30620.428 \n",
- "2021-01-22 3341.0 3771.7500 29094.0 24870.428 \n",
- "2021-01-23 NaN 3651.6667 20495.0 22463.666 \n",
- "2021-01-24 NaN NaN 14266.0 NaN \n",
- "2021-01-25 NaN NaN 4482.0 NaN \n",
- "2021-01-26 NaN NaN NaN NaN \n",
- "\n",
- " new_deaths new_deaths_7 hospital_cases hospital_cases_7 \\\n",
- "date \n",
- "2021-01-17 671 1217.5714 38095.0 38292.285 \n",
- "2021-01-18 599 1223.5714 39181.0 38338.145 \n",
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- "2021-01-22 1401 1238.7142 38144.0 38057.168 \n",
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- "2021-01-24 610 NaN 37561.0 NaN \n",
- "2021-01-25 592 NaN NaN NaN \n",
- "2021-01-26 1631 NaN NaN NaN \n",
- "\n",
- " ventilator_beds ventilator_beds_7 \n",
- "date \n",
- "2021-01-17 3871.0 3857.4285 \n",
- "2021-01-18 3916.0 3898.5715 \n",
- "2021-01-19 3947.0 3939.5715 \n",
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- "2021-01-21 3960.0 3999.2856 \n",
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- "2021-01-24 4077.0 NaN \n",
- "2021-01-25 4032.0 NaN \n",
- "2021-01-26 NaN NaN "
- ]
- },
- "execution_count": 112,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "hospital_data = res.DataFrame()\n",
- "hospital_data['date'] = hospital_data.date.astype('datetime64[ns]')\n",
- "hospital_data.set_index('date', inplace=True)\n",
- "hospital_data.tail(10)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 113,
- "metadata": {},
- "outputs": [
- {
- "data": {
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- " <td>True</td>\n",
- " <td>True</td>\n",
- " <td>True</td>\n",
- " <td>True</td>\n",
- " <td>True</td>\n",
- " <td>True</td>\n",
- " <td>True</td>\n",
- " <td>True</td>\n",
- " <td>True</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2021-01-24</th>\n",
- " <td>False</td>\n",
- " <td>False</td>\n",
- " <td>True</td>\n",
- " <td>False</td>\n",
- " <td>True</td>\n",
- " <td>False</td>\n",
- " <td>True</td>\n",
- " <td>False</td>\n",
- " <td>True</td>\n",
- " <td>False</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2021-01-25</th>\n",
- " <td>False</td>\n",
- " <td>False</td>\n",
- " <td>True</td>\n",
- " <td>False</td>\n",
- " <td>True</td>\n",
- " <td>False</td>\n",
- " <td>False</td>\n",
- " <td>False</td>\n",
- " <td>True</td>\n",
- " <td>False</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2021-01-26</th>\n",
- " <td>False</td>\n",
- " <td>False</td>\n",
- " <td>False</td>\n",
- " <td>False</td>\n",
- " <td>True</td>\n",
- " <td>False</td>\n",
- " <td>False</td>\n",
- " <td>False</td>\n",
- " <td>False</td>\n",
- " <td>False</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "<p>390 rows × 10 columns</p>\n",
- "</div>"
- ],
- "text/plain": [
- " new_admissions new_admissions_7 new_cases new_cases_7 \\\n",
- "date \n",
- "2020-01-03 False False False False \n",
- "2020-01-04 False False False False \n",
- "2020-01-05 False False False False \n",
- "2020-01-06 False False False False \n",
- "2020-01-07 False False False False \n",
- "... ... ... ... ... \n",
- "2021-01-22 True True True True \n",
- "2021-01-23 False True True True \n",
- "2021-01-24 False False True False \n",
- "2021-01-25 False False True False \n",
- "2021-01-26 False False False False \n",
- "\n",
- " new_deaths new_deaths_7 hospital_cases hospital_cases_7 \\\n",
- "date \n",
- "2020-01-03 True False False False \n",
- "2020-01-04 True False False False \n",
- "2020-01-05 True False False False \n",
- "2020-01-06 True True False False \n",
- "2020-01-07 True True False False \n",
- "... ... ... ... ... \n",
- "2021-01-22 True True True True \n",
- "2021-01-23 True True True True \n",
- "2021-01-24 True False True False \n",
- "2021-01-25 True False False False \n",
- "2021-01-26 True False False False \n",
- "\n",
- " ventilator_beds ventilator_beds_7 \n",
- "date \n",
- "2020-01-03 False False \n",
- "2020-01-04 False False \n",
- "2020-01-05 False False \n",
- "2020-01-06 False False \n",
- "2020-01-07 False False \n",
- "... ... ... \n",
- "2021-01-22 True True \n",
- "2021-01-23 True True \n",
- "2021-01-24 True False \n",
- "2021-01-25 True False \n",
- "2021-01-26 False False \n",
- "\n",
- "[390 rows x 10 columns]"
- ]
- },
- "execution_count": 113,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "hospital_data == hd2"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 114,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "new_admissions float64\n",
- "new_admissions_7 float64\n",
- "new_cases float64\n",
- "new_cases_7 float64\n",
- "new_deaths int64\n",
- "new_deaths_7 float64\n",
- "hospital_cases float64\n",
- "hospital_cases_7 float64\n",
- "ventilator_beds float64\n",
- "ventilator_beds_7 float64\n",
- "dtype: object"
- ]
- },
- "execution_count": 114,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "hospital_data.dtypes"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 115,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "new_admissions float64\n",
- "new_admissions_7 float64\n",
- "new_cases float64\n",
- "new_cases_7 float64\n",
- "new_deaths int64\n",
- "new_deaths_7 float64\n",
- "hospital_cases float64\n",
- "hospital_cases_7 float64\n",
- "ventilator_beds float64\n",
- "ventilator_beds_7 float64\n",
- "dtype: object"
- ]
- },
- "execution_count": 115,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "hd2.dtypes"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 116,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<AxesSubplot:xlabel='date'>"
- ]
- },
- "execution_count": 116,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 432x288 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "hospital_data[['new_admissions', 'new_admissions_7']].plot()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 117,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<AxesSubplot:xlabel='date'>"
- ]
- },
- "execution_count": 117,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 432x288 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "hospital_data[['hospital_cases', 'hospital_cases_7']].plot()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 118,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<AxesSubplot:xlabel='date'>"
- ]
- },
- "execution_count": 118,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 432x288 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "hospital_data[['ventilator_beds', 'ventilator_beds_7']].plot()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 119,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<Figure size 720x576 with 0 Axes>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 720x576 with 2 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "fig = plt.figure(figsize=(10, 8))\n",
- "ax = hospital_data.loc['2020-03-20':, ['hospital_cases', 'ventilator_beds']].plot(\n",
- " secondary_y='ventilator_beds',\n",
- " figsize=(10, 8),\n",
- " title=\"People in hospital, and on mechanical ventilation\")\n",
- "# axl.legend(['Number in hospital', 'Number on ventilator'])\n",
- "plt.savefig('people_in_hospital.png')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 120,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "hospital_data['cases_m7nd'] = hospital_data.new_cases_7 / hospital_data.new_cases_7.loc[normalisation_date]\n",
- "hospital_data['deaths_m7nd'] = hospital_data.new_deaths_7 / hospital_data.new_deaths_7.loc[normalisation_date]\n",
- "hospital_data['admissions_m7nd'] = hospital_data.new_admissions_7 / hospital_data.new_admissions_7.loc[normalisation_date]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 121,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "96.1"
- ]
- },
- "execution_count": 121,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "(int(hospital_data.loc[normalisation_date:, ['cases_m7nd', 'admissions_m7nd', 'deaths_m7nd']].max().max() * 10) + 1) / 10.0"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 122,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 720x576 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "ymax = (int(hospital_data.loc[normalisation_date:, ['cases_m7nd', 'admissions_m7nd', 'deaths_m7nd']].max().max() * 10) + 1) / 10.0\n",
- "ax = hospital_data.loc[normalisation_date:, ['cases_m7nd', 'admissions_m7nd', 'deaths_m7nd']].plot(\n",
- " ylim=(0, ymax), \n",
- " figsize=(10, 8),\n",
- " title=\"Cases, hospital admissions, and deaths\\n(7-day moving averages)\")\n",
- "\n",
- "lvi = hospital_data.cases_m7nd.last_valid_index()\n",
- "ax.text(x = lvi + pd.Timedelta(days=1), y = hospital_data.cases_m7nd[lvi], s = f'{hospital_data.cases_m7nd[lvi]:.2f}')\n",
- "\n",
- "lvi = hospital_data.admissions_m7nd.last_valid_index()\n",
- "ax.text(x = lvi + pd.Timedelta(days=1), y = hospital_data.admissions_m7nd[lvi], s = f'{hospital_data.admissions_m7nd[lvi]:.2f}')\n",
- "\n",
- "lvi = hospital_data.deaths_m7nd.last_valid_index()\n",
- "ax.text(x = lvi + pd.Timedelta(days=1), y = hospital_data.deaths_m7nd[lvi], s = f'{hospital_data.deaths_m7nd[lvi]:.2f}')\n",
- "\n",
- "\n",
- "ax.set_xlabel(\"Date\")\n",
- "ax.set_ylabel(f'Normalised units, scaled from {normalisation_date}')\n",
- "ax.legend(['Cases', 'Admissions', 'Deaths'])\n",
- "\n",
- "plt.savefig('cases_admissions_deaths.png')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": []
- }
- ],
- "metadata": {
- "kernelspec": {
- "display_name": "Python 3",
- "language": "python",
- "name": "python3"
- },
- "language_info": {
- "codemirror_mode": {
- "name": "ipython",
- "version": 3
- },
- "file_extension": ".py",
- "mimetype": "text/x-python",
- "name": "python",
- "nbconvert_exporter": "python",
- "pygments_lexer": "ipython3",
- "version": "3.8.5"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
+++ /dev/null
-{
- "cells": [
- {
- "cell_type": "markdown",
- "metadata": {
- "Collapsed": "false"
- },
- "source": [
- "Data from [European Centre for Disease Prevention and Control](https://www.ecdc.europa.eu/en/publications-data/download-todays-data-geographic-distribution-covid-19-cases-worldwide)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 94,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "The sql extension is already loaded. To reload it, use:\n",
- " %reload_ext sql\n"
- ]
- }
- ],
- "source": [
- "import itertools\n",
- "import collections\n",
- "import json\n",
- "import pandas as pd\n",
- "import numpy as np\n",
- "from scipy.stats import gmean\n",
- "import datetime\n",
- "\n",
- "from sqlalchemy.types import Integer, Text, String, DateTime, Date, Float\n",
- "from sqlalchemy import create_engine\n",
- "\n",
- "import matplotlib as mpl\n",
- "import matplotlib.pyplot as plt\n",
- "%matplotlib inline\n",
- "%load_ext sql"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 95,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "connection_string = 'postgresql://covid:3NbjJTkT63@localhost/covid'"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 96,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "'Connected: covid@covid'"
- ]
- },
- "execution_count": 96,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "%sql $connection_string"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 97,
- "metadata": {},
- "outputs": [],
- "source": [
- "engine = create_engine(connection_string)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 98,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "DEATH_COUNT_THRESHOLD = 10\n",
- "COUNTRIES_CORE = tuple(sorted('IT DE UK ES IE FR BE'.split()))\n",
- "COUNTRIES_NORDIC = tuple('SE NO DK FI UK'.split())\n",
- "COUNTRIES_FRIENDS = tuple('IT UK ES BE SI MX'.split())\n",
- "# COUNTRIES_FRIENDS = 'IT UK ES BE SI PT'.split()\n",
- "\n",
- "COUNTRIES_AMERICAS = ('AG', 'AR', 'AW', 'BS', 'BB', 'BZ', 'BM', 'BO', 'BR', 'VG', 'KY', # excluding Canada and USA\n",
- " 'CL', 'CO', 'CR', 'CU', 'CW', 'DM', 'DO', 'EC', 'SV', 'GL', 'GD', 'GT',\n",
- " 'GY', 'HT', 'HN', 'JM', 'MX', 'MS', 'NI', 'PA', 'PY', 'PE', 'PR', 'KN',\n",
- " 'LC', 'VC', 'SX', 'SR', 'TT', 'TC', 'VI', 'UY', 'VE')\n",
- "COUNTRIES_OF_INTEREST = tuple(set(COUNTRIES_CORE + COUNTRIES_FRIENDS))\n",
- "COUNTRIES_ALL = tuple(set(COUNTRIES_CORE + COUNTRIES_FRIENDS + COUNTRIES_NORDIC + COUNTRIES_AMERICAS))"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 84,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# res = %sql select report_date, geo_id, deaths_weekly, culm_deaths from weekly_cases where geo_id in $COUNTRIES_CORE order by report_date, geo_id"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 85,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# country_data = res.DataFrame()\n",
- "# country_data['report_date'] = country_data.report_date.astype('datetime64[ns]')\n",
- "# country_data.set_index('report_date', inplace=True)\n",
- "# country_data.tail(10)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 86,
- "metadata": {},
- "outputs": [],
- "source": [
- "query_string = f'''select report_date, geo_id, deaths_weekly, culm_deaths \n",
- "from weekly_cases \n",
- "where geo_id in {COUNTRIES_CORE} \n",
- "order by report_date, geo_id'''\n",
- "\n",
- "country_data = pd.read_sql_query(query_string,\n",
- " engine,\n",
- " index_col = 'report_date',\n",
- " parse_dates = ['report_date']\n",
- " )"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 87,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
- " .dataframe tbody tr th:only-of-type {\n",
- " vertical-align: middle;\n",
- " }\n",
- "\n",
- " .dataframe tbody tr th {\n",
- " vertical-align: top;\n",
- " }\n",
- "\n",
- " .dataframe thead th {\n",
- " text-align: right;\n",
- " }\n",
- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th>geo_id</th>\n",
- " <th>BE</th>\n",
- " <th>DE</th>\n",
- " <th>ES</th>\n",
- " <th>FR</th>\n",
- " <th>IE</th>\n",
- " <th>IT</th>\n",
- " <th>UK</th>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>report_date</th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>2020-12-21</th>\n",
- " <td>18789</td>\n",
- " <td>26275</td>\n",
- " <td>49260</td>\n",
- " <td>60549</td>\n",
- " <td>2158</td>\n",
- " <td>68799</td>\n",
- " <td>67401</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2020-12-28</th>\n",
- " <td>19319</td>\n",
- " <td>30126</td>\n",
- " <td>50122</td>\n",
- " <td>63109</td>\n",
- " <td>2204</td>\n",
- " <td>71925</td>\n",
- " <td>71109</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2021-01-04</th>\n",
- " <td>19774</td>\n",
- " <td>34574</td>\n",
- " <td>51078</td>\n",
- " <td>65037</td>\n",
- " <td>2259</td>\n",
- " <td>75332</td>\n",
- " <td>75024</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2021-01-11</th>\n",
- " <td>20156</td>\n",
- " <td>40686</td>\n",
- " <td>52275</td>\n",
- " <td>67750</td>\n",
- " <td>2344</td>\n",
- " <td>78755</td>\n",
- " <td>81431</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2021-01-18</th>\n",
- " <td>20491</td>\n",
- " <td>46633</td>\n",
- " <td>53769</td>\n",
- " <td>70283</td>\n",
- " <td>2608</td>\n",
- " <td>82177</td>\n",
- " <td>89261</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- "geo_id BE DE ES FR IE IT UK\n",
- "report_date \n",
- "2020-12-21 18789 26275 49260 60549 2158 68799 67401\n",
- "2020-12-28 19319 30126 50122 63109 2204 71925 71109\n",
- "2021-01-04 19774 34574 51078 65037 2259 75332 75024\n",
- "2021-01-11 20156 40686 52275 67750 2344 78755 81431\n",
- "2021-01-18 20491 46633 53769 70283 2608 82177 89261"
- ]
- },
- "execution_count": 87,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "deaths_culm = country_data.pivot(columns='geo_id', values='culm_deaths')\n",
- "deaths_culm.tail()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 88,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<AxesSubplot:xlabel='report_date'>"
- ]
- },
- "execution_count": 88,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 432x288 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "deaths_culm.plot()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 89,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 720x432 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "ax = deaths_culm.loc['2020-03-15':].plot(figsize=(10, 6), title=\"Total deaths, linear\")\n",
- "ax.set_xlabel(f\"Date\")\n",
- "for c in COUNTRIES_CORE:\n",
- " lvi = deaths_culm[c].last_valid_index()\n",
- " ax.text(x = lvi + pd.Timedelta(days=1), y = deaths_culm[c][lvi], s = f\"{c}: {deaths_culm[c][lvi]:.0f}\")\n",
- "plt.savefig('covid_deaths_total_linear.png') "
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 90,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/html": [
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- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th>geo_id</th>\n",
- " <th>BE</th>\n",
- " <th>DE</th>\n",
- " <th>ES</th>\n",
- " <th>FR</th>\n",
- " <th>IE</th>\n",
- " <th>IT</th>\n",
- " <th>UK</th>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>report_date</th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>2020-12-21</th>\n",
- " <td>653</td>\n",
- " <td>4300</td>\n",
- " <td>1247</td>\n",
- " <td>2638</td>\n",
- " <td>34</td>\n",
- " <td>4279</td>\n",
- " <td>3231</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2020-12-28</th>\n",
- " <td>530</td>\n",
- " <td>3851</td>\n",
- " <td>862</td>\n",
- " <td>2560</td>\n",
- " <td>46</td>\n",
- " <td>3126</td>\n",
- " <td>3708</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2021-01-04</th>\n",
- " <td>455</td>\n",
- " <td>4448</td>\n",
- " <td>956</td>\n",
- " <td>1928</td>\n",
- " <td>55</td>\n",
- " <td>3407</td>\n",
- " <td>3915</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2021-01-11</th>\n",
- " <td>382</td>\n",
- " <td>6112</td>\n",
- " <td>1197</td>\n",
- " <td>2713</td>\n",
- " <td>85</td>\n",
- " <td>3423</td>\n",
- " <td>6407</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2021-01-18</th>\n",
- " <td>335</td>\n",
- " <td>5947</td>\n",
- " <td>1494</td>\n",
- " <td>2533</td>\n",
- " <td>264</td>\n",
- " <td>3422</td>\n",
- " <td>7830</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- "geo_id BE DE ES FR IE IT UK\n",
- "report_date \n",
- "2020-12-21 653 4300 1247 2638 34 4279 3231\n",
- "2020-12-28 530 3851 862 2560 46 3126 3708\n",
- "2021-01-04 455 4448 956 1928 55 3407 3915\n",
- "2021-01-11 382 6112 1197 2713 85 3423 6407\n",
- "2021-01-18 335 5947 1494 2533 264 3422 7830"
- ]
- },
- "execution_count": 90,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "deaths_weekly = country_data.pivot(columns='geo_id', values='deaths_weekly')\n",
- "deaths_weekly.tail()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 91,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<AxesSubplot:xlabel='report_date'>"
- ]
- },
- "execution_count": 91,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
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\n",
- "text/plain": [
- "<Figure size 432x288 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "deaths_weekly.plot()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 92,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 720x432 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "ax = deaths_weekly.loc['2020-03-01':, COUNTRIES_CORE].plot(figsize=(10, 6), title=\"Deaths per week\")\n",
- "ax.set_xlabel('Date')\n",
- "for c in COUNTRIES_CORE:\n",
- " lvi = deaths_weekly[c].last_valid_index()\n",
- " ax.text(x = lvi + pd.Timedelta(days=1), y = deaths_weekly[c][lvi], s = c)\n",
- "plt.savefig('covid_deaths_per_week.png') "
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 93,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 720x432 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "ax = deaths_weekly.iloc[-6:].plot(figsize=(10, 6), title=\"Deaths per week\")#, ylim=(-10, 100))\n",
- "ax.set_xlabel(\"Date\")\n",
- "\n",
- "text_x_pos = deaths_weekly.last_valid_index() + pd.Timedelta(days=0.5)\n",
- "\n",
- "for c in COUNTRIES_CORE:\n",
- " lvi = deaths_weekly[c].last_valid_index()\n",
- "# if c != 'ES':\n",
- " ax.text(x = text_x_pos, y = deaths_weekly[c][lvi], s = f\"{c}: {deaths_weekly[c][lvi]:.0f}\")\n",
- "plt.savefig('deaths_by_date_last_6_weeks.png') "
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 109,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
- " .dataframe tbody tr th:only-of-type {\n",
- " vertical-align: middle;\n",
- " }\n",
- "\n",
- " .dataframe tbody tr th {\n",
- " vertical-align: top;\n",
- " }\n",
- "\n",
- " .dataframe thead th {\n",
- " text-align: right;\n",
- " }\n",
- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>geo_id</th>\n",
- " <th>deaths_weekly_pc</th>\n",
- " <th>culm_deaths_pc</th>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>report_date</th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>2021-01-18</th>\n",
- " <td>ES</td>\n",
- " <td>0.000032</td>\n",
- " <td>0.001146</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2021-01-18</th>\n",
- " <td>FR</td>\n",
- " <td>0.000038</td>\n",
- " <td>0.001049</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2021-01-18</th>\n",
- " <td>IE</td>\n",
- " <td>0.000054</td>\n",
- " <td>0.000532</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2021-01-18</th>\n",
- " <td>IT</td>\n",
- " <td>0.000057</td>\n",
- " <td>0.001361</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2021-01-18</th>\n",
- " <td>UK</td>\n",
- " <td>0.000117</td>\n",
- " <td>0.001339</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " geo_id deaths_weekly_pc culm_deaths_pc\n",
- "report_date \n",
- "2021-01-18 ES 0.000032 0.001146\n",
- "2021-01-18 FR 0.000038 0.001049\n",
- "2021-01-18 IE 0.000054 0.000532\n",
- "2021-01-18 IT 0.000057 0.001361\n",
- "2021-01-18 UK 0.000117 0.001339"
- ]
- },
- "execution_count": 109,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "query_string = f'''select report_date, geo_id, \n",
- "(cast(deaths_weekly as float) / population_2019) deaths_weekly_pc,\n",
- "(cast(culm_deaths as float) / population_2019) as culm_deaths_pc\n",
- "from weekly_cases join countries using (geo_id)\n",
- "where geo_id in {COUNTRIES_CORE} \n",
- "order by report_date, geo_id'''\n",
- "\n",
- "deaths_pc_data = pd.read_sql_query(query_string,\n",
- " engine,\n",
- " index_col = 'report_date',\n",
- " parse_dates = ['report_date']\n",
- " )\n",
- "deaths_pc_data.tail()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 110,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
- " .dataframe tbody tr th:only-of-type {\n",
- " vertical-align: middle;\n",
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- " vertical-align: top;\n",
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- " .dataframe thead th {\n",
- " text-align: right;\n",
- " }\n",
- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th>geo_id</th>\n",
- " <th>BE</th>\n",
- " <th>DE</th>\n",
- " <th>ES</th>\n",
- " <th>FR</th>\n",
- " <th>IE</th>\n",
- " <th>IT</th>\n",
- " <th>UK</th>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>report_date</th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>2020-12-21</th>\n",
- " <td>0.001640</td>\n",
- " <td>0.000316</td>\n",
- " <td>0.001049</td>\n",
- " <td>0.000904</td>\n",
- " <td>0.000440</td>\n",
- " <td>0.001140</td>\n",
- " <td>0.001011</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2020-12-28</th>\n",
- " <td>0.001686</td>\n",
- " <td>0.000363</td>\n",
- " <td>0.001068</td>\n",
- " <td>0.000942</td>\n",
- " <td>0.000449</td>\n",
- " <td>0.001192</td>\n",
- " <td>0.001067</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2021-01-04</th>\n",
- " <td>0.001726</td>\n",
- " <td>0.000416</td>\n",
- " <td>0.001088</td>\n",
- " <td>0.000971</td>\n",
- " <td>0.000461</td>\n",
- " <td>0.001248</td>\n",
- " <td>0.001126</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2021-01-11</th>\n",
- " <td>0.001760</td>\n",
- " <td>0.000490</td>\n",
- " <td>0.001114</td>\n",
- " <td>0.001011</td>\n",
- " <td>0.000478</td>\n",
- " <td>0.001305</td>\n",
- " <td>0.001222</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2021-01-18</th>\n",
- " <td>0.001789</td>\n",
- " <td>0.000562</td>\n",
- " <td>0.001146</td>\n",
- " <td>0.001049</td>\n",
- " <td>0.000532</td>\n",
- " <td>0.001361</td>\n",
- " <td>0.001339</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- "geo_id BE DE ES FR IE IT \\\n",
- "report_date \n",
- "2020-12-21 0.001640 0.000316 0.001049 0.000904 0.000440 0.001140 \n",
- "2020-12-28 0.001686 0.000363 0.001068 0.000942 0.000449 0.001192 \n",
- "2021-01-04 0.001726 0.000416 0.001088 0.000971 0.000461 0.001248 \n",
- "2021-01-11 0.001760 0.000490 0.001114 0.001011 0.000478 0.001305 \n",
- "2021-01-18 0.001789 0.000562 0.001146 0.001049 0.000532 0.001361 \n",
- "\n",
- "geo_id UK \n",
- "report_date \n",
- "2020-12-21 0.001011 \n",
- "2020-12-28 0.001067 \n",
- "2021-01-04 0.001126 \n",
- "2021-01-11 0.001222 \n",
- "2021-01-18 0.001339 "
- ]
- },
- "execution_count": 110,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "deaths_pc_culm = deaths_pc_data.pivot(columns='geo_id', values='culm_deaths_pc')\n",
- "deaths_pc_culm.tail()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 115,
- "metadata": {},
- "outputs": [
- {
- "data": {
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BqFJKKdVMGeMfun/r93R+WZNNsN3GaQPbcMWRnejXNibQzTts1Sc4zcC/p1WVdsD2et4TXI+8e7Pnc1sxxmRaxxIR+RD/lIO/BKfGmNeA18A/57Se9SmllFJK1cnp8vJVWiZv/b6ZdTtLSYwM5p8ndOeiER1JigoJdPMOe/UJThcA3UWkM5CJP2i8cI97pgI3WHNKRwBFxpgsEcmpR96/EBEbMBE4ukaaA4g1xuSKSBAwHvipHu1XSimllDpoWUVO3pu3hQ//3EphuZs+KdH8d+JAThuYokP3DajO4NTa+f8G4Hv820G9aYxZKSLXWNdfAabjX6m/Af9WUlfsKy+AiEwAXsD/7NdvRSTNGFO1l9LRQEbVQipLCPC9FZja8Qemrx/Up1dKKaWUqsOq7cW8/OtGpi/PwhjDSX1ac8WRnRjeOV4fptMI6rXPqTFmOv4AtGbaKzXODXB9ffNa6bU+TcC6NgsYuUdaGTCkPu09HNjtdvr3748xBrvdzosvvsioUaNIT0+nd+/e9OzZs/reW2+9lUsvvTSArVVKKaVano05pTz74zqmLcsiKsTBFaM6cdmoTrSPDw9005o1fXxpgISFhVU/BvX777/nrrvu4tdf/Y+q7dq1a70ekaqUUkqphrctv5xJP6/ni8UZhAbZuf64rlw9uisx4UGBblqLoMFpE1BcXExcXFygm6GUUkq1aNnFFbw4cwMf/bkVEeHyUZ257riuJEbqIqdDqcUHpw9+s5JV24sbtMw+baK5/7S++7zH6XSSmppKRUUFWVlZ/PLLL9XXNm7cSGpqavX7F154gdGjRzdoG5VSSinlV1Dm4pVfN/LOvHQ8XsPEoe25aUw3UmLCAt20FqnFB6eBUnNYf968eVx66aWsWOHf0lWH9ZVSSqnGV1Lh5o3Zm/m/OZspc3mYkNqWm0/oTseEiEA3rUVr8cFpXT2ch8IRRxxBbm4uOTk5gW6KUkop1ew5XV7emZfOK79upLDczcn9WnPriT3o3ioq0E1TaHDaJKxZswav10tCQgLl5eWBbo5SSinVLBlj+DptO49NX012SSXH9kziXyf2pH87fZpTU6LBaYBUzTkF/38s77zzDna7fwPfPeecXnnlldx0000BaKVSSinVPKzfWcK9X69g/qZ8BraLYfJFgxnWKT7QzVK10OA0QLxeb63pnTp1wul0HuLWKKWUUs1TWaWHST+v5//mbCYixMFjE/pz/rD22Gy6eX5TpcGpUkoppZodYwzTl+/g4Wmr2FFcwXlD23PHyb2IjwgOdNNUHTQ4VUoppVSzsimnlPunrmT2+lz6pEQz+aLBDOmo+4kfLjQ4VUoppVSz4HR5mTxzA6/9tomQIBsPnt6Xi0d2xK5D+IcVDU6VUkopddj7cdVOHpi6ksxCJ2cNastdp/QmKUqf7HQ40uBUKaWUUoetbfnlPDB1JT+vyaZnqyg+uXokI7okBLpZ6iBocKqUUkqpw9LXaZn858vlANxzam8uG9WJILstwK1SB0v/BAPEbreTmppK3759GThwIM888ww+nw+AWbNmERMTQ2pqavXrp59+CnCLlVJKqaahwu3lri+XcfPHafROieaHW4/hqtFdNDBtJrTnNEDCwsJIS0sDIDs7mwsvvJCioiIefPBBAEaPHs20adMC2EKllFKq6dmQXcr1Hyxm7c4Srju2K7ee2AOHBqXNiv5pNgHJycm89tprvPjiixhjAt0cpZRSqkn6YlEGp70wh5zSSt65cjj/HtdLA9NmSHtOZ9wJO5Y3bJmt+8PJT+xXli5duuDz+cjOzgZg9uzZuz3C9IsvvqBr164N2UqllFLqsFDu8nDf1yv5fFEGIzrHM+mCQbSKDg10s1Qj0eC0CanZa6rD+koppRSs21nC9R8sZkNOKTcd342bxnTX3tJmToPT/ezhbCybNm3CbreTnJzM6tWrA90cpZRSKqCMMXy6cBv3T11JZEgQ7105gqO6Jwa6WeoQ0OC0CcjJyeGaa67hhhtuQESfYqGUUqplK630cM+U5XyVtp0juyXw7HmpJEfpMH5LocFpgDidTlJTU3G73TgcDi655BJuvfXW6ut7zjm95557OOeccwLQUqWUUurQWbW9mBs+XEx6Xhm3ntiD64/rpo8fbWE0OA0Qr9e712vHHnssRUVFh7A1SimlVGAZY/joz2088M1KYsOC+OCqkRzRVZ/01BJpcKqUUkqpgCqr9HC3NYw/unsiz56XSmJkSKCbpQJEg1OllFJKBcy6nSVc+/4iNueW8S9rGN+mw/gtmganSimllAqIzxdlcM9Xy4kMCeL9v41gVDddja80OFVKKaXUIeZ0ebl/6go+XZjByC7+TfV1Nb6qosGpUkoppQ6ZjTmlXP/BYtbsKOHG47txs26qr/agwalSSimlDolvlm7nzi+WEeyw8fYVwzi2Z3Kgm6SaIP1VJUDsdjupqanVryee8D+patq0aQwaNIiBAwfSp08fXn311QC3VCmllDo4lR4v9361ghs/WkKvlGi+vWm0BqZqr7TnNEDCwsJIS0vbLc3tdnP11Vfz559/0q5dOyorK0lPTw9I+5RSSqmGsDWvnOs/XMzyzCKuProLt4/tSZAO46t90OC0CSkpKcHj8ZCQ4N90OCQkhJ49ewa4VUoppdSB+X7lDm77bCkCvHbJEE7q2zrQTVKHgRYfnD7555OsyV/ToGX2iu/FHcPv2Oc9VY8vrXLXXXdx3nnncfrpp9OxY0fGjBnD+PHjueCCC7DZ9DdMpZRShw+vz/C/H9by0qyNDGgXw+QLB9M+PjzQzVKHiXpFPSIyTkTWisgGEbmzlusiIpOs68tEZHBdeUVkooisFBGfiAytkd5JRJwikma9XqlxbYiILLfKmiQih+0uvVXD+lWv8847D4A33niDn3/+meHDh/Pf//6XK6+8MsAtVUoppeqvqNzNlW8v4KVZG7lgeHs+u+YIDUzVfqmz51RE7MBk4EQgA1ggIlONMatq3HYy0N16jQBeBkbUkXcFcBZQ24qfjcaY1FrSXwauBuYD04FxwIx6fM69qquHMxD69+9P//79ueSSS+jcuTNvv/12oJuklFJK1WntjhKufm8h2wudPDqhHxeN6BjoJqnDUH16TocDG4wxm4wxLuBj4Iw97jkDeNf4zQdiRSRlX3mNMauNMWvr21CrvGhjzDxjjAHeBc6sb/7DQWlpKbNmzap+n5aWRseO+h+2Ukqppm/G8iwmvPQ75S4vH/19pAam6oDVZ85pW2BbjfcZ+HtH67qnbT3z1qaziCwBioF7jDGzrbIyaqnjsLTnnNNx48Zx991389RTT/GPf/yDsLAwIiIitNdUKaVUk+b1GZ75cS2TZ24ktX0sr14yhFbR+rQndeDqE5zWNq/T1POe+uTdUxbQwRiTJyJDgK9EpO/+lCUiV+Mf/qdDhw51VBcYXq+31vTp06cf4pYopZRSB6bI6ebmj5cwa20O5w9rz4Nn9CXEYQ90s9Rhrj7BaQbQvsb7dsD2et4TXI+8uzHGVAKV1vkiEdkI9LDqaFefsowxrwGvAQwdOrSuYFgppZRS+2ndzhKufnchGQVOHjmzHxeN6MBhvE5ZNSH1mXO6AOguIp1FJBg4H5i6xz1TgUutVfsjgSJjTFY98+5GRJKshVSISBf8i6w2WeWViMhIa5X+pcDX9f+oSimllGoI363IYsLk3ymt9PLR1SO5eGRHDUxVg6mz59QY4xGRG4DvATvwpjFmpYhcY11/Bf/K+VOADUA5cMW+8gKIyATgBSAJ+FZE0owxY4GjgYdExAN4gWuMMflWc64F3gbC8K/SP6iV+koppZSqP5/P8OxP63jhlw0MbB/LqxcPoXWMzi9VDUv8C9+br6FDh5qFCxfulrZ69Wp69+4doBY1nObyOZRSSjV9RU43t3ySxi9rsjl3aDseOqMfoUE6v7ShicgiY8zQuu9svlr8E6KUUkoptW85JZVc+Pp8NueW8fAZfXUYXzUqDU6VUkoptVc5JZVc8Pp8MgucvHvlcEZ1Swx0k1Qzpw9tDxC73U5qamr1Kz09nVmzZhETE8OgQYPo1asXt912W6CbqZRSqgXLLqmoDkzfumKYBqbqkNCe0wAJCwsjLS1tt7T09HRGjx7NtGnTcDqdDBo0iAkTJnDkkUcGppFKKaVarOySCi58/Y/qwHRkl4RAN0m1EBqcNlFhYWGkpqaSmZkZ6KYopZRqYbJLKrjgtflsL6zg7SuGMUIDU3UItfjgdMdjj1G5ek2DlhnSuxet//Offd5T8/GlnTt3ZsqUKbtdLygoYP369Rx99NEN2jallFJqXzQwVYHW4oPTQKltWB9g9uzZDBgwgLVr13LnnXfSunXrQ984pZRSLVJ2sX+OaVaRBqYqcFp8cFpXD+ehVjXndN26dRx11FFMmDChuodVKaWUaiw1A9O3LtfAVAWOrtZvonr06MFdd93Fk08+GeimKKWUauayiys4v7rHdLgGpiqgNDhtwq655hp+++03Nm/eHOimKKWUaqaqAtMdVmA6vHN8oJukWjgNTgOktLT0L2nHHnss06ZNq34fFhZGZmYmnTt3PpRNU0op1UJoYNo8iEipiPQXkTTrlS8im63zn/aR71ER2SYipXukXyMiy638c0SkT41rHUTkBxFZLSKrRKSTlX6DiGwQESMiB7UhrganSimlVAuUXVzB+a9pYNpcGGOWG2NSjTGpwFTgduv9CfvI9g0wvJb0D40x/a2yngKeqXHtXeBpY0xvK2+2lf47cAKw5eA+iS6IUkoppVqc6sC0uIJ3rhzOsE4amLZExpj5ACKyZ3pxjbcRgLHu6wM4jDE/WveV1sizpLayDoT2nCqllFItSKXHy9/fW6SBaQshIm1EZPoB5LteRDbi7zm9yUruARSKyJciskREnhYRe0O2FzQ4VUoppVqUh6etYum2Qv43caAGps2ANeczbI/kVOA06/wx4E3r3ngrqLyijjJvAG4BugAPA/dYl44ATgZ6AV5gGHC5iISKyJ8ishRoA/y7RlkDRWSeNYf1GxGJruszaXCqlFJKtRBfLMrg/flbufroLpzcPyXQzVGHkIjEAN8Drxlj3qrj9przR6cAZ1rp3wGzjTF9gCvx96QOBiqB440xA4HtwBgRGWnleQO40xjT3yrr9rraqsGpUkop1QKs2l7Mf6YsZ2SXeP49tmegm6NqUZyTXfdNByYSmIF/odPL9bi/1BiTbp2fCKy3zn8D4kQkCf9c1HBglfGrmn8q+Nc0Get9TysfwI/A2XVVrsFpgERGRgKQnp5OWFgYqamp1a933303wK1TSinVnBSVu7nm/UXEhgfxwgWDcdj1x39Ts/r3X3n7tusbo+gw4DVgjjHm2ZoXRGSniGQA4SKSISIPWJduEJGV+IforwMuAzDGePH3fm4DZuPvYX3dKutmEXEBHfBPB/i7VdYK4HTrfCLQvq4G62r9JqBr166kpaUFuhlKKaWaIZ/PcOunaWwvdPLJP0aSFBUS6CapGtyVFcx8+zWW//IDbXr2qTvDXxlg9R5pXwEl1rkT/9ZSZ4jIf40x1d2zxphWtRZozM0AIpIOnGmMya1x7QHgARE5GrjPGOOy0p8HnheRWPwB7HNWliuBSSJyn9UOV10fSH91UkoppZqxl2Zt4Oc12dxzam+GdNQFUE1J7rYtfPCfW1k+80dGTDiX8+5//ECKyQPi9kiLB3JrvP8YeBmYLiJRB9ba3RljfgO67rnhvjGmEJgFjLPerzHGnGSMGQJ8BGysq+wW33M6+9N15G7769OaDkZi+0hGn9uj3vdv3LiR1NTU6vcvvPACo0ePbtA2KaWUanl+W5fD/35cx+kD23DZqE6Bbo6yGGNYMetHfnnzVYLDwjj7Pw/RacAgSv/IOpCySkUkS0TGGGN+FpF4/IHh83vc95yIpABTROSUqh7P/SEi3YCNxhgjIoOBYCDPmoPqNsYUikgY/sVUT1p5ko0x2SJiw7/q/5W66mnxwWlToMP6SimlGlpGQTk3f7yEHslRPHF2/wbZHF0dPJeznB9fn8ya33+lQ7+BnHLjbUTExuFcm0/hlA0HWuylwGQR+Z/1/kFjzF96KI0xd4jIW8B7InIBsNh6CtRuROQm/NtBtQaWich0Y8xV+BczXSoibvzTBc6zAtUU4B1rz1Mb8Kkxpup57BeISNVk2i+BunYK0OB0f3o4lVJKqcNBhdvLdR8sxuM1vHzxYMKDW/yP+yZh5+aNfPv8kxTu2MGR513C8DPPwWaz46vwUPjlBhzJe25XWj/GmFXAcXu5dvke72vucZq6lzyTgEm1pD+J1SO6R/oyYNBeynqePXpx66J/W5VSSqlm5sFvVrEso4hXLh5Cl6TIQDenxTPGkPbDt/z67huERcdw7n2P0a5Pv+rrRd+l4y2uJOnagfCvADa0idDgtAnYc87plVdeyU033bT3DEoppdRefLZwGx/9uZVrjunKuH6tA92cFq+itJTvX3meDQvm0WXwMMZe+0/Co2Oqr1duKqJsfhaRR7YhpEOdD09qETQ4DZDSUv8irE6dOuF0OgPcGqWUUs3Biswi7vlqBUd0SeC2k3TaWqBtX7eGbyc9RWl+HsdcfCVDTj0Tse3aKMm4vRR8uR57fCjRYzsFrqFNjAanSimlVDNQVO7m2g8WERcezAsXDtKN9gPI+Hws/PYr5nz0DpHxiZz/4FOkdP/rU7mKftqKJ9dJ4lX9sQXbA9DSpkmDU6WUUuow5/MZ/vnJEnYUVfDJP44gMVI32g+U8uIivpv8DJvTFtF9xChO+sdNhEb8dd6vK6OE0t8yiBjWmtBusYe+oU2YBqdKKaXUYe7FmRuYuTaHh87oy+AOe+7Hrg6VbauWM33S0zhLSxhz5bUMPOmUWrfwMh4fBZ+vwxYVTMypnQPQ0qZNg1OllFLqMPbHpjye/WkdEwa15ZKRHQPdnBbJ5/Pyx5RPmffZR8S2TmHCnQ+Q3KnLXu8v+TUD945yEi7tgy1UQ7E96TeilFJKHaacLi93fLGMdnFhPHJmP91oPwBKC/KZ8eJ/2bpiGb2POpYTrrqO4LDwvd7v3llG8S9bCRuYRFifhEPY0sOHBqdKKaXUYeqZH9eSnlfOh1eNICJEf6QfaulLFzNj8jO4KpyMveZm+h57wj5/QTA+Q8Hn67GF2ok9be89qy1dvZbyicg4EVkrIhtE5M5arouITLKuL7Oet7rPvCIyUURWiohPRIbWSD9RRBaJyHLreHyNa7OsstKsV/KBf/TAioyMZPny5aSmppKamkp8fDydO3cmNTWVE044IdDNU0op1cQt3lrA/83ZzIUjOjCqW2Kgm9Oi+LxeZn/0Dl88dh/h0TFc/Niz9DvuxDp7rkt/345rWwmxp3XFHhl8iFp7+Knz1yzrOamTgROBDGCBiEy1HpVV5WSgu/UaAbwMjKgj7wrgLODVParMBU4zxmwXkX7A90DbGtcvMsYs3P+P2vT079+ftLQ0AC6//HLGjx/POeecE9hGKaWUavIqPV7+/fkyWkWHctfJvQLdnBalODeHbyc9zfa1q+g/ZizHXfZ3gkJC68znyXNS/EM6ob3iCRuYdAhaeviqzxjAcGCDMWYTgIh8DJwB1AxOzwDeNcYYYL6IxIpICtBpb3mNMauttN0qM8YsqfF2JRAqIiHGmMoD+HxKKaVUs/PCzxvYkF3KW1cMIyo0KNDNaTE2LvqD7156Dp/Xw6k33U6vI4+pVz5jDAVfrAebEDehm84NrkN9gtO2wLYa7zPw947WdU/beubdl7OBJXsEpm+JiBf4AnjECogP2My3XyN7y6aDKeIvkjt24bjLr27QMpVSSinwPwXq5V83cvbgdhzX87Cd3XZY8XrczP7wbRZ9+zXJnbsy/p93ENe6Tb3zly3YQeWmImLP6oY9RvegrUt9gtPawvs9A8K93VOfvLVXKtIXeBI4qUbyRcaYTBGJwh+cXgK8W0veq4GrATp06FCf6pRSSqkmz+31cfvny4iPCObe8b0D3ZwWoXBHFtOef5KdmzYw6OTTOPqiK3EE1b+32lNUSdG3mwnpEkPEsNaN2NLmoz7BaQbQvsb7dsD2et4TXI+8fyEi7YApwKXGmI1V6caYTOtYIiIf4p9y8Jfg1BjzGvAawNChQ/cZDGsPp1JKqcPFK7M2sjqrmFcvGUJsuC6oaWxrfv+VH19/EZvNzum33U33YUfsV35jDIVTNoDPEHd2dx3Or6f6BKcLgO4i0hnIBM4HLtzjnqnADdac0hFAkTEmS0Ry6pF3NyISC3wL3GWM+b1GugOINcbkikgQMB74qR7tV0oppQ5763aWMOmX9YwfkMLYvtoD15jclRXMfPs1lv/yA2169ObUm28nOnH/p1A4l+ZQsSafmFO74EgIa4SWNk91BqfGGI+I3IB/1bwdeNMYs1JErrGuvwJMB04BNgDlwBX7ygsgIhOAF4Ak4FsRSTPGjAVuALoB94rIvVYzTgLKgO+twNSOPzB9vQG+A6WUUqpJ83h93P7ZUqJCg3jw9L6Bbk6zlrttC9Oee5K8zG2MmHAuR5xzIXbH/u8h6y11UfjNRoLbRxF5ZP3npyqQg1xP1OQNHTrULFy4+85Tq1evpnfvw3+uTnP5HEoppfbttd828tj0NUy6YBCnD9RApzEYY1j+yw/MfPs1gsPCOPmGf9FpwKADLiv//dU41+TT6qZBBLWKqHdeEVlkjBla953Nlz5OQimllGrCNuWU8r8f1nFin1acNiAl0M1plirLy/nx9RdZO/c3Og4YxMnX30pEbNwBl1f6WwbOlXnEnNJ5vwJT5afBqVJKKdVE+XyGO75YRojDxiNn9tMFNY1gx8b1fPv8UxTl7OSo8y9l+BnnILZ6PUCzVhXrCyj6Lp2wAYlEjm5bdwb1FxqcKqWUUk3Ue/O3sCC9gKfPGUCr6LqfQqTqzxjD4ulT+e2Dt4iIjeO8+5+gba8+B1WmJ7+C/I/W4EgOJ+6cHvrLxAHS4FQppZRqgrbll/Pkd2s4pkcS5wxpF+jmNCvOkmK+e+lZNi1eQLdhIznpmpsJi4w6qDJ9Li95763C+CDxkj7Ygu0N1NqWR4NTpZRSqokxxnDnl8uwifDYWf21B64BpS9dzPevPI+zuIjjr/gHqWPHH/T3a4yh4Mv1uHeUkXB5XxyJum3UwTjwSRVKKaWUahSfLNjG7xvyuOuUXrSN1UCnIbic/kVPXzx2H8Fh4VzwyP8YNO60Bgn8S3/fjjMth+iTOhLWM74BWrt/RMQrImk1Xnda6eNFZImILBWRVSLyj3qU9Z2IFIrItD3SbxCRDSJiRCSxlnzDrHacUyMtVkQ+F5E1IrJaROr1FAPtOQ2Q9PR0xo8fz4oVK6rTHnjgASIjI1mxYgXjx4/nnHPOIT8/nzFjxnDTTTdxxRVXBLDFSimlDoWsIiePfruaI7okcMEwfQR3Q9i2ajnfv/wcRTnZDD3tLI4892IcwQ3zhK2KjYUUTd9EWN8Eoo5tX3eGxuE0xqTWTLD2hX8NGG6MyRCREKBTPcp6GggH9gxkfwemAbP2zCAidvyPnP9+j0vPA98ZY84RkWCr3DppcNqEFRUVMXbsWK6++moNTJVSqgUwxnDPlBV4fIYnzu6PzabD+QfDXVnBnI/eZfGMqcS2TuH8B5486EVPNXkKK8j/cDWOxDDizm1yC6Ci8Md5eQDGmEpgbV2ZjDE/i8ixtaQvAfb2GW8EvgCGVSWISDRwNHC5ld8FuOrTcA1Om6jS0lJOPvlkLrzwQq699tpAN0cppdQh8N2KHfy8Jpt7Tu1NxwTdH/NgbF+3mu9eepaCrO2kjh3P0RdeTlBow+14YNxe8t5bjfEYEi7pgy0koCFVmIik1Xj/uDHmExGZCmwRkZ/x93p+ZIzxicjpwFBjzH0HW7GItAUmAMdTIzgFugA5wFsiMhBYBNxsjCmrq8wWH5wWfrMR1/Y6v6f9EtwmgtjTuh5UGbfeeitXXXUVt9xySwO1SimlVFNWUuHmgW9W0iclmstHdQp0cw5bHrebuZ99wMKpXxKVmMjEex+lQ7+BDVqHMYaCKRtwZ5aScGkfgpLqNVrdmP4yrA9gjLlKRPoDJwC3AScClxtjpgJTG6ju54A7jDHePXpVHcBg4EZjzB8i8jxwJ3DvX4vYXYsPTgNlb13/VenHH388X3/9NbfddhvJycmHsmlKKaUC4Jkf15FdUsmrlwzFYdf1ygdi56YNzJj8DHkZW+k/ZizHXPw3QsIbPnAsm59F+eJsok/oQFifhAYvvyEZY5YDy0XkPWAz1jB7AxoKfGzFL4nAKSLiAeYDGcaYP6z7PscfnNapxQenB9vDeaASEhIoKCjYLS0/P5/OnTsDcP7553PUUUdxyimnMHPmTKKiDm7/NaWUUk3Xiswi3pmbzsUjOpLaPjbQzTnseD1u5n/5KX9M+YSImFjOuvMBOg9qnMfTV24uovCbTYT2jifq+IZbsGaMYXH24gYrT0Qi8Q/dz7KSUoEtDVaBxRjTuUadbwPTjDFfWe+3iUhPY8xaYAywqj5l6q9mARIZGUlKSgo///wz4A9Mv/vuO4466qjqe/75z38yZswYJkyYgMtVrznESimlDjNen+E/U5aTEBnCbWN7Bro5h53crel8ePdtzP/iI3ofeQyX/felRgtMvUWV5H2wGkd8KPHn9UQaYMFambuMT9Z8wllTz+Ly7y4/0GLC9thK6glAgH+LyFprPuqDWL2mInK6iDxUW0EiMhv4DBgjIhkiMtZKv0lEMoB2wDIReaMe7boR+EBEluEPjh+rz4dp8T2ngfTuu+9y/fXX869//QuA+++/n65dd+/JffLJJ7niiiu45JJL+Oijj7AdxPN+lVJKNT3vz9/CsowiJl0wiJiwoEA357CydcUyvnr6YYJCQjj9trvpPqxe22geEOPxkff+aozLR8Lfe2MLPbgQamPhRj5e8zHfbPqGMncZveN78+CoBzmbs/e/bcbs7XFUp+zl/r3OOTXGjN5L+iRgUh3tuHyP92n4h/33iwanAdSnTx9mzpz5l/S33357t/dvvfXWIWqRUkqpQ2lncQVPf7+W0d0TOW1ASqCbc1jZsGA+055/kthWKZx990NExf9lX/gGVTh1I65tJSRc3JugVge2k4Lb52bm1pl8vPZjFuxYQJAtiLGdxnJ+r/MZkDigqW1FFTAanCqllFIB8tC0Vbi8Ph4+o58GJvth5a8/8/0rz9O6S3cm3Hk/YVHRjVaX8RqKf0in7M8dRB3XnrB++x8E55Tn8Pm6z/l83edkO7NpE9GGmwffzFndzyI+9NA/Uaqp0+BUKaWUCoBZa7P5dlkWt57Yg06JuqdpfS369itmvfsGHfqncsZtdxMc2niPd/WWuMj/aA2Vm4qIGN6a6BM71juvMYaFOxfy8ZqP+WXrL3iMhyPbHsm9Pe9ldNvR2G17G4lXGpwqpZRSh1iF28t9X6+kS1IE/zimS6Cbc1gwxvD7J+/zx5RP6D5iFKfceDuOoMabo1u5uYi8D9dgKjzETexBxJBW9WrjuoJ1fJ/+PT9s+YEtxVuIDo7mot4XcW7Pc+kQrY+jrY8WG5waYw7rIRRjTKCboJRS6gC9+MsGtuaX8+HfRxDi0B60uhifj5/ffIWlP06n//EnccLfr8fWSD2PxhhKZ2dS9N1mHPFhxF/Zj+CUvfds1xaQ2sTG8NbD+Vu/vzGu8zjCHI3Xu9sctcjgNDQ0lLy8PBISEg7LANUYQ15eHqEN+Bg2pZRSh8aG7BJe/W0jZw1uy6iujbuIpznwetzMmPwsa+f+xrAzzmH0BZc12s9uX4WH/M/WUbEyj7C+CcRN7FHrqvx9BaSX9b2MMR3G6FzSg9Aig9N27dqRkZFBTk5OoJtywEJDQ2nXrl2gm6GUUmo/GGO4e8oKwoMd/OeU3oFuTpPnrqzgm2ceZ3PaIkZfeDnDzzin0epybS8l/4PVeAoqiTm1C5FHtdktCNaA9NBpkcFpUFBQ9ZOYlFJKqUPli8WZ/LE5n8fP6k9iZEigm9OkVZSWMuXJB8lav5YTr76RAWPGNlpdZQt3UPDVRmzhDpKu7k9Ipxh/uruMRTsXMW/7PGZnzm6yAamIeIHlNZLOBDoBXwObgDD8T266rY5yEvA/ZnQY8LYx5oYa14YAb1tlTQduNjXmGIrIOfg37x9mjFlopT0JnGrd8rAx5pP6fJ4WGZwqpZRSh1pBmYvHpq9mSMc4zhvaPtDNadLKCgv44tF7yd+ewfhb7qDHiCMbpR7j9lLw9UbKF+4kpGsM0ed1Y1XFWuanzWd+1nyW5SzDYzyE2EMY0mpIkwpI9+A0xqTWTBCRTsBsY8x4EQkDlojIFGPM7/sopwK4F+hnvWp6GbgamI8/OB0HzLDqigJuAv6oUf+pwGD8T4YKAX4VkRnGmOK6PowGp0oppdQh8MSMNRQ73Tw6oR+2BnjsZXNVlL2Dzx+5l7LCAibc8QAdB6Q2Sj2ePCd576/GnVXGlv5FfNzqU/785k/KPeUIQt+Evlze73JGpowkNTmVEPvh29NtjHFajzBtW8d9ZcAcEelWM11EUoBoY8w86/27+HtnZ1i3PAw8BdTsme0D/GqM8QAeEVmKP6D9tK72anCqlFJKNbI/N+fzycJt/OOYLvRq3Xgbxh/ucrdt4fNH78XrcjHx3kdJ6d6zQcs3xrC9bDvr5y+l/axQ3MbNU+3eZoFnBR2KOzC+y3hGthnJ8NbDiQmJadC6G1mYFXwCbDbGTKh5UUTigO7Ab9b7awCMMa/Us/y2QEaN9xlWGiIyCGhvjJkmIjWD06XA/SLyDBAOHAesqk9lGpwqpZRSjcjl8XHPV8tpGxvGzWO6B7o5TdbOzRv5/NF7sTscnPfgkyS2r/+G93vjMz42FW5icfZiFu1cxLKsNE5NP5IzC45jY1gGvw1fw/huE3k45b+0jdxnp2JT95dhfctoEVkG9ASeMMbsgP0KSqvU1tVvRMQGPAtc/peLxvwgIsOAuUAOMA/w1KcyDU6VUkqpRvTGnE2s21nK/102lPBg/bFbm+3r1vDl4/cTHB7Oufc+RmzrlAMqx+PzsCZ/DYt2LmLRzkUsyV5CYWUhAAOkN49tu5GkkhjcQ8I46syJHBPU7P88quac9sA/XD/FGJN2AOVkADW3CGoHbAei8M9NnWXtbNAamCoipxtjFhpjHgUeBRCRD4H19ams2f+pKKWUUoGyLb+cST+vZ2zfVozpXfcThlqijFUr+PLJB4mIiWXifY8SnZhc77zGGJbnLmfe9nks2rmIpTlLKfeUA9A+qj3Htj+WwUmDGbqjJ7YfC5BgG3GX9SCsd0JjfZyD4ly2rFHKNcasE5HHgTuACw4gf5aIlIjISPyLni4FXjDGFAHVm/WKyCzgNmPMQhGxA7HGmDwRGQAMAH6oT30anCqllFKNoMLt5aaPl2AX4YHT+wa6OU1S+rIlfP30I0QnJTPxnkeIjK9f0LiuYB0zNs9gxuYZZJZmIgjd4rpxetfTGdJqCINbDSY5PBmf00PBlPU4l+US3DWG+PN6Yo9uegubypcsIfellymbPbsxq3kFuE1EOgNjofbhfRFJB6KBYBE5EzjJGLMKuJZdW0nNYNdiqL0JAmZbParFwMXW4qg6SXN/DObQoUPNwoULA90MpZRSLYgxhn99tpQvF2fy8kWDObn/gQ1TN2cbF/3BN888Tnzb9pxzzyOER+97AdK24m3MSPcHpBsKN2AXOyNTRjKu8ziOa3/cXxYwVW4pJv/jNXiLKok+qRNRR7dDmtguCeWLFpE7eTJlc+dhj4sj/sorSLr66kXGmKGBblsgac+pUkop1cBe+20TXy7O5JYTemhgWou18+Yw/YWnSe7clbPveojQyMha78suz+b79O+ZsXkGy3P9e8wPTh7M3SPu5sSOJ5IQ9teeVuMzlPy6jeIft2CPCSHpmoGEdGhaOySU/fknuZNfovyPP7AnJJB8++3EXXA+tvBwuPrqQDcv4DQ4VUoppRrQz6t38sR3azh1QAo3jelWd4YWZtXsmXw3+Vna9OzFhDseICQ8fLfrRZVF/LjlR2ZsnsGCHQswGHrH9+bWIbcyrtM4UiL3Hux7iyrJ/2QtlZuKCBuQSNxZ3bGFNo1QxxhD+R9/kPviZMoXLsSelEjynXcQd9552MLCAt28JqVp/IkppZRSzcC6nSXc/HEafdtE899zBu72bHYFy376jh/fmEyHvgM48/Z7CQoNBfyr7OdkzmHK+in8lvkbHp+HTtGduGbgNYzrPI4uMV3qLNu5Oo+Cz9Zh3D7izulO+JBWTeL7N8ZQNncuuS+9jHPRIhzJybT6z3+IPXciNuvzq93VKzgVkXHA84AdeMMY88Qe18W6fgpQDlxujFm8r7wiMhF4AOgNDK96Dqt17S7gb4AXuMkY872Vvs/nuiqllFKBkl/m4qp3FhIWbOf1S4cSFmwPdJOalMXTv2bmO6/TZfAwTrvlLhzBwWwq3MRXG75i6sap5FXkER8az4W9LuTULqfSO753vYJL4/ZRNGMzpXO3E5QSQfyFvQhKCq8zX2MzxlA2Zw65k1/CmZaGo3VrWt17D7HnnIMtpOktympK6gxOra0AJgMn4t/naoGITLVWblU5Gf+TB7oDI/A/f3VEHXlXAGcBr+5RXx/gfKAv0Ab4SUR6GGO87OO5rkoppVSguL0+rvtgETuKK/jk6pGkxOgwbU1/fPUZcz56h+4jRnH0NdcyJf1rvtrwFctyluEQB6PbjWZCtwkc1e4ogmxB9S63cksxBV+ux7OznMgj2xBzcmfEYWvET1I/ZfP/IOfZZ3EuXYqjTQqtH7ifmLPOwhYcHOimHRbq03M6HNhgjNkEICIfA2ew+yOozgDetXox54tIrPUc1k57y2uMWW2l7VnfGcDHxphKYLOIbACGV21tsI/nuiqllFKHnDGG+6euZP6mfJ49byCDOsQFuklNhjGGuZ99wPwvPiZpSD/mDSnm4S9PosJbQbfYbtw29DbGdxlf68KmffFVeCj6Pp2y+VnYo4NJuLwvYb3iG+lT1J9zxUpynn2Wst9/x9G6Na0ffJDYCWciGpTul/oEp22BbTXeZ+DvHa3rnrb1zFtbffNrKcvNXp7rqpRSSgXKe/O38OEfW7nmmK5MGNSu7gwthDGG6W+9wJrvfyCzs493kr8lMjOK07uezoTuE+ib0PeA5oQ6V+ZS+PVGvCUuIo9oQ/TYjthCAruEpnLTZnImTaLku++wx8aS/O9/E3fhBTqn9ADV50+z1uep1vOe+uStb331LktErsY//E+HDh3qqE4ppZQ6ML9vyOXBb1ZxQu9kbh/bM9DNaRKMMSzcuZCp700idmEBqzuWIMd15/Hu1zOmwxhCHQcWsHmLKimYupGKlXkEtY4g4ZI+BLePauDW7x/3jh3kTp5M4ZdTkJAQEq+7jvgrr8C+l62xVP3UJzjNANrXeF/1PNX63BNcj7z1rW9vz3X9C2PMa8Br4N+Ev476lFJKqf22ObeM6z5YTNekCJ47fxD2JrbB+6Hm8rr4Lv073l/1Pp6l2zhyeQLSrw0P/vN+2kYd+ECn8RnK/syiaEY6xmuIHteJqNFtEXvg5pZ6CgrIe+11Cj74AIwh7qILSfzHP3AkNM3Hoh5u6hOcLgC6W4+7ysS/WOnCPe6ZCtxgzSkdARRZz2HNqUfePU0FPhSRZ/AviOoO/GmM8db2XNd6fUqllFKqARVXuLnqnQXYBN64dBiRAR5WDqQ8Zx6frfuMT9Z+Qq4zl6Glnem3MpEOAwZy1h0PYHcc+Hfj3llGwZcbcG0pJqRbLHFndsORGLjFZr6yMvLeeYf8N9/CV15OzOmnk3jDDQS301mGDanOvzHGGI+I3AB8j387qDeNMStF5Brr+iv4V86fAmzAv5XUFfvKCyAiE/AHl0nAtyKSZowZa5X9Kf4FVx7gemulPuz/c12VUkqpBuX1GW78cAlb8sp5/6oRdEgI/LZFgbCuYB3vr3qfbzd9i8vn4qi2R3Fm+PGsefkjEjp14Ix/3X3Agalx+yieuZWSXzOwhdiJm9iD8MHJAdu31Od0UvjZ5+S+8gre/HyiTjyBpJtvJqSbPmShMUhz3yZ06NChZuHChXXfqJRSStXDI9NW8caczTw2oT8XjmhZ6xp8xsfsjNm8t/o9/sj6g1B7KKd3PZ2Lel9EbHkIH993OyHhEZz/0FNExB7YrgWVmwop+HIDnlwn4YOSiTm1M/bIQ7/a3RiDc8kSiqZMoXj6DHxlZYSPGEHyrbcQNnBgo9UrIouMMUMbrYLDQMsdh1BKKaX206cLtvHGnM1cPqpTiwpM3T43X234indWvsOW4i0khydz8+CbOaf7OcSGxlJWWMBHj98GIpz1nwcPKDD1FlVS9F065UuysceHknhlP0J7HPptudxZWRR9PZWiKVNwbdmChIcTPXYssWefRdiQIU3iqVPNnQanSimlVB0q3F7emL2J539ez1HdErnn1N6BbtIhYYzhxy0/MmnJJLYUb6FvQl+eHP0kJ3Y6sXqzfJeznC+feICyokLOve8x4lq32b863F5KfsukZNY2jM8QdWw7oo7vgO0QPmHLV1FByU8/UzRlCmVz54IxhA8bRsI//kH02JOwRUQcsrYoDU6VUkqpvTLG8O3yLB6fvobMQidj+7biqbMH4gjgSvFDZcGOBTy76FmW5y6na0xXXjj+BY5pd8xuPYdej4epzzxOzpbNnPnve0npVv/ttIwxOJfnUjR9M97CSsL6JhBzSmccCYdmwZMxhoqlSymc8hXF06fjKykhqE0bEq+9lpgzzyBYt6IMGA1OlVJKqVoszyjioWkrWZBeQO+UaJ6eOIBRXRMD3axGtzZ/Lc8vfp7ZmbNpFd6Kh0Y9xOldT8du270n0xjDD69OYsuyJYy95ma6DBpW7zpcGSUUTtuEK72YoJQI4ib2ILRrbAN/ktp5S0sp/OQTCr/4EtemTUhoKNFjTyJmwgTChw9HbM3/F4+mToNTpZRSqoadxRU8/f1avlicQXx4MI+f1Z9zh7Zv9vuYbi/dzuS0yXyz8RsigyO5ZcgtXNjrwr1umj/n43dZ9dsvHHnuxfQ77sR61eEtcfnnlS7eiS08iNizuhExtDVyCL5bb0kJBe+/T97b7+ArKiJsyBBSHnmYqHHjdNP8JkaDU6WUUgr/vNL/m7OZyTM34PEarj66C9cf143o0KBAN61RFVYU8vry1/lozUcIwuV9L+dv/f9GTEjMXvMs+e4b/vzqMwacMI4RZ51XZx3G7aPk90xKftmG8fqIHN2W6OM7YAtt/DDEW1JC/nvvkf/2O/iKi4k8/ngSr7uOsH59G71udWA0OFVKKdWiGWOYvnwHj01fXT2v9D+n9KZjQvNeBOP0OPlg9Qe8ufxNSt2lnNHtDK5PvZ7WEa33mW/9H3P55e3X6Dp0JGP+du0+V68bY6hYmUfh9M148ysI7eOfVxp0CDbS16D08KXBqVJKqRarJc4rdfvcfL3ha15e+jLZ5dkc2+5Ybhp8E93juteZN2P1Cr594WlSuvfk1Jtuw2bb+4p6V1YZRd9spHJTEY5W4SRe1Y/Qbo2/NZS3pIT8d98l/513dwWl119HWF8NSg8XGpwqpZRqUbKLK5izIZefV2czfUVWi5lX6jM+vtv8HZPTJrO1ZCsDkgbw5OgnGdq6fvu952Vs5aunHyY6qRUT/n0fQSG1z0X1lbsp+nELZfOzsIU5iD2zKxHDUhB743633uJif09pVVA6ZgyJ112rQelhSINTpZRSzVq5y8Mfm/OZsz6XOetzWbuzBID4iOAWMa/UGMOvGb/ywpIXWFewjh5xPXjx+Bc5ut3R9d5Qvjg3hy8eux9HUDBn3/UgYVHRf63HZyhbsIPi79PxOT1EjEwh5sSO2MIb97vVoLT50eBUKaVUs+L1GZZnFjFnfQ6z1+eyeGsBbq8h2GFjeKd4Jgxuy1HdEumTEo2tGfeUAvyZ9SfPL3meZTnL6BDVgaeOfoqxncZik/pvl+QsLeHLx++nsryM8x54gpjkVn+5p3JLMYVTN+LOLCW4czSxp3UluE3jroD3lpZR8P575L35VnVQmnT9dYT26dOo9arGp8GpUkqpw1qF28vGnFLSthUyZ30uczfmUeR0A9AnJZorj+zMUd0TGdYpntCgQ/fUoUBalrOMSUsm8UfWH7QKb8UDRzzA6d1Or36qU325KyuY8uSDFO7M4uz/PERypy67XfcWuyiasdn/yNHoYOIv6EnYgKRGfcSnz+mk4KOPyXv9dbwFBUQeeyyJN96gPaXNiAanSimlDgv5ZS425pSyIbuUjdmlbLDOMwudGOO/p01MKGP7tuLIbokc2S2RxMiQwDb6EFtXsI4Xl7zIzG0ziQ+N545hdzCx50RC7Pv/PXg9HqY99yQ71q/jtFvupH2f/tXXjMdH6e/bKf55K8brI+q49kQd175RHznqc7ko/PQzcl99BW9OLhGjRpF0802EDRzYaHWqwNDgVCmlVJPg8xnyy13klFSyo6iCjTml/ld2GRtySskvc1XfGxpko0tiJIM7xDFxSHu6JUfSOyWKzokRjdpr11RtK97G5KWTmb5pOpFBkdw46EYu7n0x4UHhB1SeMYYfX3uBTYsXcMJV19N9xKjqaxVr8yn8ZhOeXCehveOJHd+lUR85atxuCr/6ityXXsaTlUXY0CEkP/MM4cPq/0QqdXjR4FQppVSjMcbgdHvJK3WRXVJJTkkFOSWV1nnNYwW5pS68PrNb/viIYLomRTC2byu6JkXSNTmSbkmRtI0Na/bzResjpzyHV5e9yhfrvsBhc3Blvyu5ot8V+9xAvz5+++AtVv76M6MmXsTAE08GwJPnpHDaJipW5+NIDCPhir6E9YxviI9RK+P1UjxtGjmTX8K9dSuhAwaQ8sjDRIwa1SJ/AWlJNDhVSqkWxOszuL0+6+U/d3l8VHq8VLh9VFrnlR4flW4fLq+PSrf1vuo+l5dyl5dyt5fySo//3OWl3FX7eW1EICEihOSoEJKjQ+jVOork6BCSIkNIjg6lVXQInRMjiY8IPsTf0OGh2FXMWyve4v1V7+PxeTi7x9lcM/AaEsMOfo/Whd98ycJvviR17KmMPPt8jDGUzc+iaPpmECHm5E5EHtkWcTTOM+iNz0fJDz+Q88KLuDZuJKRXL9q9/BKRxx6rQWkLocGpUko1AmMMlR4fZVbwVubyUFkj+PMHgt7a06oDQy8er8HtNXh8Puvch8cKMD1W+p7X3V6Dx+vDVXXd48Nt5TGm7rbXRQTCg+yEBTsID7bXeDlIjAwhPNh/LcJKDwt2EB8RRHJUKElR/oA0PiIYh71xgpvmzOlx8tGaj/i/5f9HiauEU7qcwvWp19M+qn2DlL/qt1/49f036THyKI67/Gq8xS4KPl9H5fpCQnrEEXd2dxwxjTOP1xhD6a+/kvPc81SuWUNw1660fe45ok46EbHp35WWRINTpZTaiwq3l9zSSvJKXeSVVZJb6iK/zEVeaSWllR7KKr2UVXoos3oJSys9lFd6q9/vOURdX8F2GyEOG0EOGw6bEGS34bDLHuc2gqxjaJCVbl0PslfdZyPYLjjsNoL2ON91jxDqsBMSZCPEYSfY4a/b/6pK33Ve1TbtwTq03D43X234ilfSXiHbmc3R7Y7mpkE30TO+Z4PVsXnJQr5/5Xk69BvAuOtvxbk0j8KvN4DXEDuhGxHDWzfan3v5kiVk/+9/OBcuIqhDB9o8/RTRp5yC2FvG7gpqdxqcKqWaBZ/P4LZ6ESvcXuvlo6JqSNrtpaJG72TVtQq3j5IK924BaF5ZJfmlLsr2MiQdGmQjOjSIiBB/z2FEiIOEiGDax4cTGewgPMROhHWMDHEQbvUwhloBYNWxtgAw2GFr1k8pUvvHZ3z8kP4DLyx5ga0lWxmUPIinjnmKIa2GNGg9WevXMvXZx0ls34nx19xB8acbcK7II7hjNPHn9mi0BU+VmzaR8+yzlPz4E/bERFrddy9xEyciQc33oQiqbhqcKtWCebz+IWWXxz9U7PX5h4F9PvD4fNZ7f3rN8+prXoPLmr9Ydb5raHnX8LLb6x9W9lhpVWV5vP5y3D6D11c1TL3rWs3ha7fXV12X2/PXeZOeA+ylBLDbhISIYBIiQ0iMDKZTQjgJkSEkRAb70yP854lWWniw/tOpGpcxhrnb5/L84udZnb+abrHd9vupTvWVl7GNL594gMjYeMafcysFr67G5/T455aOboc0wi9L7p07yX3xRQq/+BJbWBhJN99E/KWXYouIaPC61OFH/4VVqgnyeH2UubzWfEX/8HG5y4vT7T93unYNHVctPPGneXG6PNW9gy7PruCz0rNrcYvLWgRzEPHcfqsaRrbb/MPTDmsYumqIele6/73DJthtQmSIY7dh6GBrKDqoaqjaseta1X2hQfbdhqpDg2z+tCB/b6X/vMY1h11XfqsmY2XuSv636H8s2LGAtpFteeyoxzil8ynYbQ0/xF2Sl8sXj91HsD2UU4fdQNkXWwlKiSDpqv4EtW74QNFbVETeG2+Q/+57GJ+PuIsvIvGaa3DEN96qf3X40eBUqQbk8xlKKj0UO90U1fIqdropq/RQWukPKkurFstY8xar5jBWenz1rtNuE2txin94OaxG4BUe7qieQxjs2H3ouGruYLD1ctht2EWqg0KH3X+0S833/qDRJlIdIDps4s9v2z1AdFiBZJBVjs5RVKpuX2/4mgfmPUB0cDR3Db+LiT0mEmRvnCFuZ2kJXzx2H1GeWEZ3mIhnVTFRx7UnekyHBl+J76uspOD9D8h97TV8xcVEnzaepJtuIrhduwatRzUPGpwqVQ8er4+sogq25ZezNb+cbQXlZBQ4yS2trBF4eiiucO9zNbTDJkSEOIgMcRAR4l/dHGnNV4wMseYqhjiICHZYRzvh1jEs2JrHaKVVBaS6OEWpw58xhslpk3l12auMSBnBM8c+Q3RwdKPV566sYOoTj9Cxogfd44fgCA0m7tIehHRo2DqN10vRV1+T88ILeHbsIGL0aJJvvYXQ3r0btB7VvGhwqhT+Hww5pZVsyy9nW77TfyywzgvKySqq2G3ltd0mpMT4t8VJjAyha1IkMWFB1a/oGuc1X+HBdg0klVK7cXld3Pv7vUzfPJ2zup/FPSPvIcjWeAuC3K5KfnliMv3LjyA6KoGII1KIOblzgz56tHpbqP/9j8r1Gwjt3582TzxBxMgRDVaHar40OFUtToXby7qdJazOKmZ1VgmrsopZk1VMcYVnt/uSokJoHxfGkI5xtI8Lp318mHUMJyUmVPdoVEodtIKKAv45858szl7MzYNv5m/9/taov8A6MwtZ/9JP9PUOxxdtSLyoH6Hd4xq2jpUryX7qacr/+IOgjh38e5WOPUl/MVf1psGparaMMWSXVLIqq7g6EF2dVczm3LLqXtDwYDu9Wkdx2sA29GgVRYd4fxDaLi6c0CDdX08p1Xi2FG/hup+uY0fZDp4++mnGdR7XaHV5S10U/rCZsj93EOWLpaKXhy4XH92gvaXu7dvJfu45iqd+gz0ujlb33EPceefqtlBqv2lwqpoNr8+wPLOI3zfkMn9THiu3F5Nf5qq+3jY2jN4p0ZzSrzW9U6LpnRJNh/hwXaWtlDrkFu1cxM0zb8aGjf8b+3+kJqc2Sj3G7aVkznZKZm3FV+lhY3Earc7sR5+TjmuwOrwlJeS99hr577wLIiT8/e8kXP137FFRDVaHalk0OFWHLWMMm3PL+H1DLnM25DJ3Yx4l1tB8r9ZRnNA7md4p0fRJiaZXSjQxYfrbu1Iq8L7d9C33/n4vbSPb8tKYl2gf3TCPHq3J+AzlS7Ip/iEdb5GLPPtO/sycxpFXX0af0Q0TmBqXi4KPPyH3pZfwFhURc/ppJN18M0Ft2jRI+arl0uBUHVZySiqZuzGXOetz+X1DLtuLKgB/r+ip/VM4slsio7omkBDZOM9+VkqpA2WM4dVlrzI5bTJDWw3lueOeIyYkpsHrqVhfQNH0zbizynC0iWCF81dWrZvDydffQu8GCEyNMZT88CPZz/wP95athB8xkla3305onz4N0HqlNDhVTZzH62Puxjx+XZfD7xtyWbOjBICYsCCO7JbA9d0SOapbIh3iw3WyvVKqyXJ73Tww7wGmbpzK6V1P54EjHmjw/UvdO8oomrGZirUF2ONCiDm7C9O/fYHMdas4+YZb6X3UsQddR/mSJWQ/9TTOJUsI6d6N9q+9SsTo0frvr2pQGpyqJscYw4rMYqYsyWTq0u3kllYS7LAxvFM8d4xry1HdEunTJlqfP66UOiwUVRZxy6xbWLBjAdenXs8/BvyjQYM5b7GL4h+3ULZwBxLiIOaUzgQPjuOr/z5M5ppVnHzjv+h95DEHV0dhITseeZTiadOwJyXS+uGHiJ0wAXFoGKEanv6tUk3Gtvxyvk7LZMqSTDbmlBFst3F8r2TOHNSWY3sm6ep5pdRhxRjD0pyl3Pv7vWSWZvL46McZ32V8w5Xv9lIyO5OSWdswXkPkkW2JPr49HpuHLx9/gO1rV3PKjf+i10EGpmVz57L9zrvwFBSQeN11JPztSmwRDf9oU6Wq1Cs4FZFxwPOAHXjDGPPEHtfFun4KUA5cboxZvK+8IhIPfAJ0AtKBc40xBSJyEXB7jeIHAIONMWkiMgtIAZzWtZOMMdn7+ZlVE1JY7uLb5Vl8tSSTBekFAAzvHM9Vo7twSr8UYsJ1EZNS6vBhjGFN/hq+S/+O79O/J7M0k5iQGF4/6XWGtBrSYHU4l+VQNCMdb2EloX0TiD25M47EMFzOcn9gum4Np9x0G71GHX3A9fgqKsh+5hkK3n2P4K5d6fTyS4T17dsgn0GpfakzOBUROzAZOBHIABaIyFRjzKoat50MdLdeI4CXgRF15L0T+NkY84SI3Gm9v8MY8wHwgVV3f+BrY0xajbouMsYsPJgPrQKrwu1l5ppspizJZObabNxeQ7fkSG4f25MzUtvQLi480E1USqn9srFwIzM2z+D79O9JL07HIQ5GthnJtQOv5fgOxxMV3DDbKlVuLaZo2iZcW0sIahNB3MQehHaNBcDlLOeLxx8ga/0aTr3p3/Q84qgDrqdizRq23347les3EHfxxSTf9i9soaEN8hmUqkt9ek6HAxuMMZsARORj4AygZnB6BvCuMcYA80UkVkRS8PeK7i3vGcCxVv53gFnAHXvUfQHw0X5/KtUkOV1eXpy5nnfnbaGkwkNSVAiXHdGJMwe1pW+baJ1Qr5Q6rGwp3sJ3m7/ju/Tv2FC4AZvYGNZqGJf1vYwTOpxAbGhsg9XlKayg6Lt0nGk52KKCiDunO+GDWyHW3PvK8nK+fPx+sjasPajA1Hi95L/9NtnPPY8jNpb2r79O5OgDD3KVOhD1CU7bAttqvM/A3zta1z1t68jbyhiTBWCMyRKR5FrqPg9/EFvTWyLiBb4AHrECYtXEzVyTzb1fryCjwMmp/VM4b1h7RnVN0EeAKqUOK9tLt/N9+vfM2DyD1fmrARicPJj/jPgPJ3Y8kcSwxAatz1fppeTXbZT8lglA1HHtiTq2PbaQXXPwK0pLmfLkg+zYuI7x/7yDHiOOPKC63JmZbL/zLsoXLCDqxBNp/dCDOOIa9tGmStVHfYLT2rqz9gwI93ZPffLWXqnICKDcGLOiRvJFxphMEYnCH5xeArxbS96rgasBOnToUJ/qVCPJKnLy0DermLFiB12TIvjo7yM5omtCoJullFL14vF5WJqzlNkZs5mdOZt1BesA6J/Yn9uH3s5JnU6idUTrBq/X+Azli3dS9P0WfCUuwgYmEXNyJxyxuw+t52/P4KunHqIoO5vxN99B9xGj9r8uYyieNo0dDz4EPh8pjz1GzIQzdTRLBUx9gtMMoObjK9oB2+t5T/A+8u4UkRSr1zQF2HNh0/nsMaRvjMm0jiUi8iH+KQd/CU6NMa8BrwEMHTpUe1YDwOP18fbcdJ79cR0en+H2sT35++guBDu0p1Qp1bTlOfOYkzmH2Zmzmbt9LiWuEhziYHCrwdw65FZO6HgC7aMa/qlO4A8UKzcWUTRjM+7MUoLbRxFzSW9COkT/5d70pYuZ9tyT2BwOzr3vMdr22v9N8L1FRex48EGKp88gbPBg2jz5BMHtG+ezKVVf9QlOFwDdRaQzkIk/aLxwj3umAjdYc0pHAEVW0Jmzj7xTgcuAJ6zj11WFiYgNmAgcXSPNAcQaY3JFJAgYD/y0n59XHQJLthbwnykrWJ1VzLE9k3jo9H50SNBFTkqppslnfKzMXcnszNnMzpjNijz/gF1iWCIndDiB0e1Gc0TKEUQGRzZaG4zX4FyZS8lvGbgzSrHHhBB/fk/CBib9pQfTGMOS775h1jtvkNi+A2f++z6ik2qbGbdvZfPmsf2u/+DJzSXpn/8k4e9XIXbdsk8FXp3BqTHGIyI3AN/j3w7qTWPMShG5xrr+CjAd/zZSG/BvJXXFvvJaRT8BfCoifwO24g9GqxwNZFQtpLKEAN9bgakdf2D6+oF9bNUYisrdPPX9Gj78cyvJUSG8fNFgxvVrrUNDSqkmZ0fZDhbuXMjczLn8vv138ivysYmNAYkDuHHQjYxuO5pe8b0a/d8vn8tL+cKdlMzJxJtfgSMxjNgJ3YgYnIzUsrez1+PhlzdfYdnP39F16EhOufFfBIeG7VedxucjZ9Ik8l55leDOnen08ceE9dMtolTTIc19PdHQoUPNwoW681RjMsbwVVomj367mvwyF5eP6sytJ/UgMkSf8aCUCjxjDNtKtrFo5yIW7lzIop2LyCz1LzCKDYnlqLZHMbrtaEa1GdWgK+z3xVvqonTudsrmZ+Er9xDcIYqoo9sR2iehegX+npwlxXzzzONsW7Wc4WdO5KjzLkFs+zdVyltayvbb/03pzJnEnHM2re++G1vY/gW3qnGJyCJjzNBAtyOQNHpQB2VDdin3frWCeZvyGNg+lrevGE6/tjGBbpZSqgXzGR8bCjewaOciFu1cxOKdi8lx5gAQFxLHkFZDuLj3xQxpNYQecT2w2w7dULY7p5zS2ZmULd4JXkNo7wSijm5LSKd9/7uZl7GVKU89RGl+Hqfc8C96jz5uv+t2bdnCtuuvx7U5nVb33kPchRfqyJZqkjQ4VQfEGMP7f2zl4W9WERJk45Ez+3HB8A76vHul1CHn8XlYm7+WhTsXsnDnQhbvXEyxqxiAVuGtGNZ6GENaDWFoq6F0jukckICscksxJb9mULE6D+xCxOBWRI5uS1BS3fPxNy9ZyLTnn8IRHMy59z1Omx699rv+0t9/J/PWfyEidPi//yNi5J47QirVdGhwqvZbpcfLfV+t5JOF2ziuZxJPnTOQpKiQQDdLKdVCVAWjC3YsYMHOBSzeuZhSdykAHaM7ckLHExjSaghDWg2hTUSbgPUO+lxeKlbmUTo/C9eWYmzhDqKOa0/kEW2wRwXXmd8Yw+LpX/Pre2+S1LEzZ9x+D9GJSfvVBmMMBe++y84nnyKkWzfavTSZ4HbtDvQjKXVIaHCq9suOogqueX8RadsKufH4btxyQg9s2luqlGpE+wpGO0V34uTOJzOs9TCGthpKUvj+BW8NzXgNFRsKcC7JxrkqD+PyYY8PJfa0LoQPa40tuH5TCLweNz+98RIrZv5I9xGjOPm6Wwnaz8eH+lwudtz/AEVTphB14gm0eeIJbBERB/KxlDqkNDhV9bYgPZ9r31+M0+XhlYsHM65fSqCbpJRqhg6nYBT8vZPujFLKl2RTviwHX6kbCXMQnppM+KBkgjtG73WRU23Ki4uY+r/HyFyzkpFnn8+ocy7c74VP7uxsMm+8CefSpSRefz2J11+332UoFSganKo6GWN4f/4WHvxmFe3jw/no7yPo3ioq0M1SSjUTRZVFLM1ZSlp2GktzlrI8dzlOjxPwB6PjOo9jeOvhTSYYreLOdVK+JBtnWjaevApwCGG9EwhPTSa0Zxyynw8d8fm8rPz1Z37/5H0qS0s59eZ/02vU0XVn3INz+XIybrgRb0kJbZ9/nuixJ+13GUoFkganap8q3F7u+3oFny7M4LieSTx3/iBiwoIC3Syl1GHKGEN6cTpp2Wmk5aSRlp3GpiL/ltZ2sdMzvicTuk0gNTmVIa2GkBy+/5vLNyZviYvyZTmUp+Xg3lYCAiFdYog6tj1h/ROxhR7Yj9X0ZUv47b3/I2drOindezLm3/fRqku3/S6naOpUsu65F0dSEp0++pDQnj0PqD1KBZIGp2qvdhRV8I/3F7FU55cqpQ5QmbuMVXmrqntG03LSKKosAiA6OJrU5FTGdxlPanIqfRP6Eh7UtJ4m5y1z40ovonJTEZWbi3BnlYGBoJQIYk7pTPjAJOwxB74gNHdrOr9+8BbpaYuISW7F+H/eQY+RR+33Ii7j9ZL9zDPk/9+bhA8fTtvnn8MRF3fA7VIqkDQ4VbXafX7pEMb1ax3oJimlmjiX18W6gnUsz13OitwVrMxdyaaiTRj8D3vpEtOFMR3GkJqUysDkgXSK7oRNmtY8SG+Ji8rN/kC0clMRnp3l/gsOGyEdooge04Gw/okEtTq4hUVlhQX8/un7rPjlR4LDwzjm4itJHXcajqD9H5nyFheTedttlP02m7gLL6TVXXciB1COUk2FBqdqNzq/VClVH16fl81Fm1mRt4IVuf7X2oK1eHweAOJD4+mf2J+xncfSL6Ef/RP7H7KnL+0Pb1FldSBaubkIT45/rqsE2QjuFE34wCRCusQQ3C5qv+eQ1sZdUcHCaVNYMPULvB4Pg04+jZFnnUdYVPQBlVe5fj3bbrgB9/YsWj/4IHHnnXvQbVQq0DQ4VdVqzi89vlcyz56XqvNLlVIA5FfkszR7KWk5aSzLWcaqvFWUe/y9ihFBEfRN6MslfS6hf2J/+iX0o3VE6yb19CFfuRt3djmebCfu7HLrvBxvYSUAEmInpFM0EUNbEdw5huC2kYi94Xp1fT4vq379hd8/eY/Sgny6jxjF6AsvJ651mwMus/iHH8i68y4kIpyO77xN+ODBDdZepQJJg1MF+DfWv/iNP1i4pYCbju/GP3V+qVItls/42Fi4sXrB0tKcpWwp3gKAw+agd3xvzuh2Bv0S+9EvsV+TGZ43xuArceHe6Q883TlO/zG7HF+pe9eNDhtBSWEEd4wm+MhIQjrHENQmcr+2e9ofuy126taT8f+8k7a9+hxwecbnI+eFF8h7+RVCBw6g3aRJBLVq1YAtViqwNDhVADw+fQ0LtxTw/PmpnJHaNtDNUUodQmXuMpblLCMtJ42l2UtZlrOMEncJ4B+eH5g0kLO7n01qcip9EvoQYj+0T4QzxuAr9+ArdeEtceErdeMtceEtceMrceEtdeErceMpqMBUeqvzSaidoORwQnvFE5QcjiM5nKDkcOyxIY0WiFbJy9jG+j/nsv6PuWSnbyQ6qRWn3vxveh4x+qB6lL3FxWy//d+U/vorMeecTev77sMWXPfTppQ6nGhwqvhx1U7enpvOlUd21sBUqWam3F1OnjOP3Ipccp25/nOndV6RR2ZpJhsLN+IzPgShW1w3xnUeR2pyKqlJqbSPat+gw/PGGEyl1x9slrv9R6d1rEpz+s/9gagLb6kbvOavhTkEe2Qw9qhg7PGhBHeO9gehSf4g1BYVdMimFhhjyE7fxPo/5rL+z7nkZ24DIKVHL467/B8MGDMWx0EGkZUbNpBx/Q24MjNpff99xJ5/fpOaOqFUQ9HgtIXLKnJy++dL6dsmmjtO1v3wlDpceH1ecp25ZJVlsaNsB1llWWSVZVUHnlWvqs3saxKEuNA4EsMSSQ5Prl5B3z+pP1H2KIzHh/H4wOPDm19hvTfV6cbjw7i8GJcP47aOLi8+d+3pxu3DV7Er8MS3988lwXZs4Q7/KzKYoNYR2KOCsFUFoTXOJdQe0ODM+HxsX7+W9X/OZcOfcynK3omIjXZ9+pE69lS6DRtJVHxig9RV8tNPbP/3HUi4Nb90yJAGKVeppkiD0xbM6zP88+M0XB4fL1wwiBBH/Z75rFRzYXwGfGbX0VvjvXdf13wYH/73xp+ODzA17jdY6VX3sFt5u+7lL2k+rxeX20WFu4JyVznl7nIq3E6cbicVbieV7koqPZWIARuCzdiIwka8JBJma0eILYQQCSZYggmWIIIIwoEDB3Yc2LEZGxjAazA+f+CJx0exZynFtXRQ1ptDkCA7tmAbEmxHgqxjmIOguBBs4UHYwqzAMyxoVxBalR7maJAV8Y3J5/WSsXqFFZDOo7QgH5vdQccBqYyYcB5dh44gPDqmweozPh+5L75I7ksvEzpgAO0mPU9Qa93aTzVvGpy2YC/+soE/NufzzLkD6ZIUGejmqMOU8Zrdetp29a7tmW4wXp8/yKs6evzHmmm7nXt8uweG1UefFViZPY6+XcGet2bgWCNotIJEfAcThTU8Hz684rOOXrwYfNb7IPHhwE6ULQqbLQabzYbNbsduc+Cw+19B9iBsdjvYxD+f0oZ1lN2P9r+micPmDywdNsRu8weVdgGHzZ9W/bLSgmzYagafwTbEYffnaUYqy8vJy9hK7rYt5G3bQu62dLI3b6KirBRHcAidU4fQfcQougweRkj4we17WhtvSYl/fumsWcScdRat778PW8ihne+rVCBocNpC/bEpj+d/XsdZg9py1uB2gW6OOgSMMf6h1wovxunxD7PWODcuL75ahmP96bUP1RqPDxoyxrPh377HLruONvEHPXZBbLvSqo9BNv/OEnYroKoReGGrEfSJDy/+o8d/hke8ePD6/ydevFIVGPrv8Yq3+h4PHjziwY0HD17KveWUecoo9ZZR5imjxFNKqbuUEk8J5T5ndWDpE+Nvg1W3V7wgNiKCwwkPiSAiJIKI4EiiQ6KJCo4iKiiKqOAoIoMjiQ+NJyWiLSkRKSSGJWK36ehGY/C4XORvzyB325YagegWinOyq+8JCgkloX0Hug0fRZdBQ+mUOpigkNBGa1Plpk3++aXbttHq3nuIu/BCnV+qWgwNTluggjIX//wkjY4JETx0Zr9AN0fthTGGtQVrWZm7Eq/xr0D2GR8Gg8/rw1EhBFXYcDhtBFfYCHLaCKqwE1RhI6jSjsMlONx2glw2/9Ftx2bq/uHmtnvw2L24rZf/3IPL7sFj8+IO9+CO8uC2eXHb/Pd6xec/Fy8eW82XB7f4jx6bF4/48Ih1jrf66LPtCiCNMVT9D+P/zF7jxWDwGi8+X433Pi8+YwWBVrrXeHF5XLh8ruoN4Ruaw+YgMijSH0yGRBEVFUV0cDQdg1Oqg8uqV3RwNNEh0dX3RwdHE+YI00DjEHBXVFBeXISzuAhnSXH1eXlJsf9YXERB1nYKs7ZjjH8irM3uIKFtO9r06M2AMeNI7NCRxPYdiU5M9v9ydAiU/PQT2++4EwkNpeNbbxI+bNghqVcdvkTECywHggAP8A7wnDHGJyLHAl8Dm2tkuc0Y89M+ynsA+DuQYyX9xxgz3bo2AHgViMY/YWkYYAM+A7oCXuAbY8ydB/p5NDhtYYwx3P75MnJLK5ly3ZFEhuhfgabCGIO3zM3GjLUs3rSAjdvWYUo9xHuiifVGEeOJIs4TRaw3mihvBDb++oPSg5ciRwnF9mLKbE7K7P5XeXAF5fYKnI5KnPYKyh2VVDhcOO2VVDrcOB2VuOwevDavv8cRsIkNQRCR3Y5V+1lWp+8lrerc///d79vtXuvoqPrnqMb9Iv6XXezYxIYNG3bbrnObzbbrmvWyi51gezDBtmBC7CEE2YMIsYcQbAv2p9v96VXnwbZggmxBOGyO3V7VabJ7ul0CuwinuTHG4PV48Lgq8brdeFwu/8vtwlNZidtVufuxshKPa4+jdV7pLK8OOp3FxXhclbXWabM7CI+OJiw6hoS27el5xFEktvcHobGt22B3BObfRW9RETsff4Kir74itF8/2r0wiaCUlIC0RR12nMaYVAARSQY+BGKA+63rs40x4/ezzGeNMf+tmSAiDuB94BJjzFIRSQDcQAjwX2PMTBEJBn4WkZONMTMO5MNoZNLCvDtvCz+t3sm94/vQr23DTdpvLMYYtpVsqx7iPFwZn8FbWIknz4m32IW32OXfn7G4Em+xi4qiMkyJB7vPRgQwmu6Mprs/b4ggkQ4k1oFEOLBFWMfIIP8rIgh7ZDC2CP8Ck9aye8CmgVTLZHw+fD4vPq/Xf+7d9b46req9x4PP68XrcePzePF6Pfg8HrxeLz6P2zp68Ho81Uevx43X7cbrceNx7zr3ulx4PJ5d761rHrfLCj4r/ffXCEIPlCMkhKDgkOpjUGgY4dExJLTrQFh0DOHRMYRFR/uPUdHVacFh4U3uv4uSWbPYcd/9ePLySLj2GhKvvVb3L1UHxBiTLSJXAwusHtCGdBKwzBiz1Korz0ovB2ZaaS4RWQwc8JxBDU5bkJXbi3j029WM6ZXMlUd2CnRz9irPmcf8rPnM2z6P+Vnz2Vm+E4AuMV0Y0moIQ1sNZUirIbSKaFpPRKl6Oo0n14k714kntwJPrtP/ynP+ZZ9GEyIUB5eTKTvIIpuCuBKi4mPp0rY7/TunEpuYgD06GAnSeYYNzR+Y+fwr1Y0Pr9uDu7ICd2Ul7soKq4euwt9bV1GVbl2zeut8Xg/GZzDGmorg8+1676uRVn2seZ91Xts9e5S5K7j04vPtCjSNzz/FwefzYbzeGkf/uX+7gMYnNhv2oCAcjiDsQdbLEYQjaNd7R3AwoZGR1nmIdS0YR7D1ss6r04KCsAcHExQSuiv4DAnBEWwdQ0JwBAU3uQDzQHiLi/29pVOmENK9O+1eeomwfn0D3Sx1mDPGbBIRG5BsJY0WkbQat5xtjNkoItOBq4wx22sp5gYRuRRYCPzLGFMA9ACMiHwPJAEfG2OeqplJRGKB04DnD7T9Gpy2EGWVHm78aAlxEUE8PXFgk/pHvcJTweKdi5mXNY952+extmAtANHB0YxIGcGI1iMocZewaOcipm+ezmfrPgOgfVR7hrQaUh2wto1se0Cfy+V1kV+RT5m7zL+6G3bNeYTqtKp0AIo82DM92PI82PK92Aq82Ap8iLvGvXbwxdrxxdkxHUPxxdspi6xkXukCvs3+jvSKrTjEwcg2Izmp40mc0f44YkNjD+Qr3G/GmOqeMq/Vy+XvKfPg83jxeat60jx/Pa/qWavZ41ZrPqsnzuutzrcruPLuHlSZ3YOw6l69qkCuKvDzef1trxFYVgV3u9/r2z0ArarDOj8YYrMRFBKCze7wTzuw2fyvqnOx+RdxiSA2e/XUhN3uq7qn6n7xL+Ky2x0gNcsSbHY7NpsdsVbo22w2xGbHZrdVp4nNtvs9Vp5d16z7dsu/67rd4cBmd1hH++7vq9OCqq/ZHUHYgxzYg4Kw6SKtA1b6669k3Xufv7f0mn+QeN112luqGlLNH4i1DusbY07ZS96XgYfxL3l9GPgfcCX+uPEo/PNMy/EP3y8yxvwM1cP+HwGTjDGbDrjh5hD9dh0oQ4cONQsXLgx0MwLuts+W8sXiDD64agSjujbMptAHymd8rM5f7e8Z3T6fJdlLcPlcBNmCGJQ8iJEpIzmizRH0ju/9l9XJHp+HtQVrWbRjEYt2LmJR9iKKKosAaBXeiqGt/b2qAxIH4PK6KKgsIL8in4KKAgoqrPPKAgorCqvPy9xl+2yvzdjoXNGWvs6u9HF2oU95V5I8cQB48bIjKI/twdlk7vHKDSrAJ3/978thc3BEyhGc1Okkjmt/HNHB0bicTirLS6ksK6OyrIyK8jIqy0qpLC/D5XRaw6nu3YK+6iHWqqHXqmFXrzWk6q459OrZfYjV4270njURGzaHfbegpzpYqhkk2WzVQVPNAKsqmLNVBXVWIGerGQjWuAcR65qt1ry1lmO97I4ggkKtIeJQf29dUEio1WMXal3zH6uCUqUO1O69pd1Ieexxwvrr4lTlZwV7Q/czjzHGiIh0AlbjX/zUA1gBTAcG7G3OqYhcDjwNZFpJLxpj3hCRjsCXQBjQBfgnUAiMw7/waigQC2wBjjTGuEXkTaDUGHPT/rT/L23S4LT5+2pJJv/8JI2bju/GrScF5ilQPuNj4Y6FTN04lV8zfqWwshCAHnE9qoPRwcmDCQ8K3+9yNxZuZNHORSzcuZBFOxeR68yt9d5gWzBxoXHEh8YTGxJbfR4XGkdcaByRQZH+xTeVQli2jYgddsJ32AjbacPm8Qcj7giDM8WHs7WhIsVQGQ/s0XFkvD48ZeW4i8twl5ThLi7DYx29ZU5C3Q68zspdwWh5efVK4X2pCvKqe7Osc7t9jzS7wxpadVQPsdbs6aoecnUEYXM4qodfq/La7Hart8yB3e4PLm2OXb1pu3rWalyzO6rPq/IdqpXNSh1OSn/9laz77seTm0vCVVeReL32lqrdNUBwOgPYBswzxtxvrda/rY7gdKgx5oYaaSlAHv7e1+uAI/EHoycDH+DvTf0G+A5/oPox0BboDUw09fmhtg86rN/MpeeWcfeU5QzrFMdNY7of8vo3FW1i2sZpTNs0jayyLCKCIji+/fGMajuKkSkjSQw7uF5cm9joHted7nHdOb/X+Rhj2FqylVV5qwh3hFcHnvGh8YQ7al8E4avwULG+kMpVhbjSi3HvLPMPZAgEpUQQPCyakE7RBLWLpELKKc3PIyg/D1tuPmZ9PqUF+ZQXFlBaWEBZQT7O4uJag83QyCgiYuOwRUYSFh9PQvsOhIRHEBoRQUh4BCERkYRY56ERkVZaBMFhYdpbp9Rhbs/e0nYvvqi9pWp3Ph/89lTd9+2FNac0HGgP/B/wTI3Le845fcQY87k15/SHWop7CkjF/9MwHbgTfyBaZJX7CP4AdTqQhT8ovRFYAyy2fl69aIx544A+i/acNl8uj4+zX57L1vxypt88mraxYYek3oKKAmZsnsE3G79hRd4KbGJjVJtRnN71dI5tfyxhjkPTjr0xxuDJcVKxJp+KtflUphf7FysFCb4EG5WRlZTaCynwZFNcmENpfh6lBXmUFxb+JegUm42ImFgi4uKJiI2zjlXncUTGxhMRF0d4TByOoKAAfWKlVCCV/vabf26p9paqvfF6YOqNsPRD5MHiA+k5LTXGRNYY1l9b4/KNxpjZIvIG8IoxZuEeeS8HHse/p+k64BZjzDbrWnvgW6AbcLsxZvIeeYOAP4CbjTGz96fN+6I9p83YU9+tYXlmEa9eMqTRA1OX18VvGb8xdeNUZmfMxmM89IrvxW1Db+PULqcedA/pwfK5vBSv2E7p8h34tjixlft7IcsoJsu5ia2FK8mt2I5hV/AZGhlFZHwCkXHxJHXsZJ0nEBkfbx0TCI+O0eFrpdRfGGMo/+NP8t95h9KZM7W3VO2dpxI+vxLWTINj74IH7zrYEjdW7XlakzHmqr3c/w3wkTGmUkSuwb+B//FWnm3AABFpA3wlIp8bY3bWyPsS8FtDBqagwWmzNXNtNm/M2cwlIzsytm/rRqnDGMOy3GV8s/EbZmyeQbGrmMSwRC7uczHju4ynZ/yhn9/qrqwgZ0s6uVvTKd6ajW27h7CScOJMMg5bEB6fm+yKLWx3bqI4uIDQ5ChiOqXQs9XxDEtuRZQVgEbExxMUrM+wVkrtH5/LRfG0b8l/910q16zBHhdH4k03knDVVdpbqv6qshQ+uQg2zYJxT8DIa4GDDk73S429SgFeB56s5Z7tIrISGA18DiAi9+PfTuofDd0mDU6bIbfXxwNTV9I9OZK7T+3dKHVklWbx2B+PMStjFqH2UMZ0HMNpXU5jRMoIHLZD89eqvLiI7PRNZG/eSM6WzWRv3kjpjlw6RvalS+QAOoV0BqDS7qQ0ugTaBRHeI5GubU9gcFIrHPqDQinVQDx5eRR8/DEFH32MNzfXvwr/kYeJHj8eW2hooJunmiJnAXwwETIXwZkvQ+qFAWmGiKQYY7Kst6fjnxaAiLQD8owxThGJw78o6hnr2lXAWGDMwS5+qo0Gp83Qpwu3sSWvnDcvH0poA2/g7vF5+GD1B0xO8087uWXILZzX8zwigiIatJ6ajDEU5+wke/Mmsrf4g9Hs9E2U5u/6Za9Ncg8Gxh9HYlhrbD4bttahRA5qTVjvBBxJ+hxzpVTjqFi3jvx336V46jcYl4uIo0cTf9llRIwapf/uqL0r2QnvTYC89TDxHehzOl63jz+/3dwQpXfdY/HTm8aYSXubcwrcJCKnAx4gH7jcSu8N/E9ErCXC/NcYs9y69gr+LaTmWX/PvzTGPNQQjQcNTpudCreXST+vZ0jHOI7rmVx3hv2wPGc5D81/iDX5azi63dHcPeJu2kS2adA6qlSUlZK+dDGbFy9g89LFOIv9e5mK2Ihv2472ffqT3KELyY4OBG+x4dlaBl4b4YOSiDwiheB2UY3SLqWUMj4fZbNnk//OO5TNnYeEhhJz1gTiL7mEkK5dA9081dQVbIH3zoSSHXDhp9D1OPK2l/Ljm6vIyyg9oCKNMZHWMR3/vqS13VPrnFNjzF3UMpfAGPMjMGAveRo1ftTgtJl5d146O4srmXT+oAb7rb3EVcKkxZP4ZO0nJIUl8cyxz3BChxMatFfAGEPeti1sWrKQTYsXsH3daozPR2hUNJ0HDqZd734kd+pCQoeO2CqEsj+zKP1zB75iJyY+lJiTOxM+tBX2CF0Rr5RqHO6sLEpmzqTgvfdxbd6MIzmZpFtuIfbciTji4gLdPHU4yFkL754J7jK49GtM22Es+2Ub877cSHCYnVOuGwCvBrqRgVev4FRExuF/RqodeMMY88Qe18W6fgr+x1ldboxZvK+8IhIPfAJ0wr+H1rnGmIJatkGYb4y5xsozBHgb/28F0/FvXdC898LaD8UVbl6atZFjeiQxokvCQZdnjOGHLT/w5J9PkuvM5YJeF3DjoBuJDI5sgNb6Fy9tXbGMzUsWsGnJQkpycwBI6tSF4WdMpMvgobTu1gObzY4xBld6McWfb8K5Ig98hpAecURO6EZoz3jEpsNnSqmG5c7KovzPPyn780/K/1yAe9s2AEL79aPN008TPW4solvEqfravgTePxvEDpdPpyy0O7+8uJStq/Lp2D+B4y/pTXi0roWAegSnImIHJgMnAhnAAhGZaoxZVeO2k4Hu1msE/meyjqgj753Az8aYJ0TkTuv9HVZ5tW6DYJV7NTAff3A6Dv+TEBTwxuzNFJa7uX3swa+SzyzN5NH5jzI7cza943sz6fhJ9Es8+C1QSvJz2bBgPpsXL2DbyuV43C6CQkLpOCCVkWedR+dBQ4mK37XtlPH4KFu4g9K5mbh3lCOhDiJHtSFyZAqOxMDul6qUal7cO3bsHoxu3QqAPSaG8OHDiL/kEsJHDCekRw+dT6r2T/rv8OF5EBYLl37Nxq1RzHr/TzwuL8dc2JO+o9vo36ka6tNzOhzYYIzZBCAiHwNnADWD0zOAd61ezPkiEms9+qrTPvKeARxr5X8HmMWu4PQvrPKijTHzrPfvAmeiwSkAeaWV/N/sTZzaP4V+bWMOuBy3z817q97j5bSXERFuH3o7F/a+8KBW4Luc5az/cx6rfvuFrSuXgTHEtk5hwAnj6Dx4GO169/vLBvW+Si9lf2ZRMjsTX7GLoJQI4s7qTlhqErbghl3kpZRqeYzXi3v7dpxpaZT98cduwagtJobwYUOJv/giwodbwajuZ6wO1Lof4NNLILYDrnO/ZM63payeu4KkDlGceGUf4lo33oLiw1V9Io62+J/RWiUDf+9oXfe0rSNvq6qtC4wxWSJSc/VOZxFZAhQD91ibu7a18u9ZhwImz9yI0+3llhN7HHAZadlpPDT/IdYXrOe49sfxnxH/oXXEge2R6vN62bJsCatmz2TDgvl4XJXEtGrNEWefT68jjyG+Tbva85W7KZ27ndK52/GVewjpEkPUxB6EdIvV3yqVUvvFGINn505c6VtwbdmCKz3df9yyBffWrRi3G9BgVDWiFV/Al1dDq77sOOo9fpy0jZK8Coac3JFh4ztjt+vfs9rUJzitLSLYc57n3u6pT949ZQEdjDF51hzTr0Sk7/6UJSJX4x/+p0OHDnVUd/jLLHTy/vwtnDOkHd2S938+aLm7nElLJvHh6g9JDk/mueOeY0yHMftdjjGG7M0bWTV7Jmt+/5XyokJCIyLpe8zx9B59PG169NprgOktdlEyJ4Oy+TswLi+hveOJOrY9IR2j97sdSqmWwRiDr7gYT04Onpwc3Nuzdg9Ct27FOJ3V90twMMEdOxLSpTNRxx1LUMeOhPXtS0ivXhqMqoa36G345p942x3JwoT/sujFjUTGh3LmvwbTpltsoFvXpNUnOM0A2td43w7YXs97gveRd2fVxq/WkH02gDGmEqi0zheJyEagh1VHu72UtRtjzGvAawBDhw5t9gumJv20HoCbT9j/XtO52+fy0LyHyCzN5Pye5/PPIf/c7z1Li3NzWD1nFqtnzyQvYys2u4Mug4fR5+jj6Dxo2D6fKe/Jc1LyWwZli3aC1xA2MInoY9sTpMMcSrVYxuvFm5+PJze3OvD05OTgyc7Z/X1ODsbl2j2zw0Fwu3YEd+pExMiRBHfqSHCnTgR37IijdWsNQtWhMf9l+O5OCtuew085/2Dnwix6jmzN6PN6EBKmGyXVpT7f0AKgu4h0BjKB84E9H2MwFbjBmlM6Aiiygs6cfeSdClwGPGEdvwYQkSQg3xjjFZEu+BdZbTLG5ItIiYiMBP4ALgVeONAP3lxszCnl88UZXHpER9rG1n+BULGrmP8u+C9TNkyhU3Qn3h73NkNaDal3fmMMmxYvYPH0r9i6cjkYQ5sevTnhquvoccRowiL3vc+oe2cZJbMyKF+aDSJEDGlF1DHtcCToIielmivjdtcr4PTk5YHX+5f8tpgYHEmJOJKSCBsyGEdSEo7EJP8xKYmglNYEtWmDOPSHvwoc1y/PsfPHL9gefT9pywdjd1Rw0lV96T60VaCbdtio879gY4xHRG4Avse/HdSbxpiVInKNdf0V/CvnTwE24N9K6op95bWKfgL4VET+BmwFJlrpRwMPiYgH8ALXGGPyrWvXsmsrqRnoYiie+XEdIQ4b1x/Xrd55ft76M4/Of5T8inz+1u9vXDPwGkId9Xu8nvH5WL9gHvO//ISc9E1EJSZxxNkX0Gf0ccS2TqkzvyurjOIft1CxKg8JshE5qi1Ro9tij9Hn2Ct1OPKVl+PJz8ebl4cnLx9v/u5HT14u3jx/L6g3P/+vBYhgj4+vDjBDevWsPt/1SsaRlIgtRP+dUE2LMYaSvAqyNhaxY2MRWcvWkV/YF8MAKIQOfeI47uKeRMbpI2z3hzT3bUKHDh1qFi7c80ldzcOKzCLGvzCHG4/vxr9Oqnv7qDxnHo//+Tjfp39Pz7iePHjkg/RN6FuvunxeL2vn/sb8KZ+Sn7mNuJQ2DD/zXHofdSz2evRS+Fxein/aSumcDCTE2g5qVBvdNF+pJsIYg6+0FG9REd6CQv+xsBBv0a5zX1ERnsJCf3puHp78/N3mdNZkCw/HnpCAIz7ef0xM3BVsJidbxyQc8fG6V6g6bHjdPnK2lfiD0U3+gLS82D+1JMjhobVtBa07BNN63Hm06hp3QEP4IrLIGDO0odt+ONGxj8PYf39YS2x4EH8/uss+7zPGMG3TNJ5c8CTl7nJuSL2BK/tfSZCt7h8IXo+bVbNn8udXn1G4I4vE9h059abb6XHEUdhs9dvSybk6j8KvN+ItrCRieGtixnXCFq4/jJTakzEG3G6Mx4Pxev1Htxuqzz0YTx3vKyvwlTvx/X979x1fRZX/f/x1bs+96QUCCRA60lEUFAt2Rf2pu3ZXXevX7u5a17Iq6q7r6trXXlfXtWLZVUFZBRUFAenSpSShpZebW+f8/phJchNCCElILsnn+Xjcx8ycKfdMys07Z+acqalBB2rq5o0aP7omYM3HLPv9ZvgsL2/yUnotm8+HPTUVe0oK9tRU8x7O9AzsGen109owmp6OLUFu0RH7rmjYoLyohrJtfsq311C23U9JYRXbN1ViRMxGveRMD7n7pdGrfzLZW14ifeXj2A66FE58COTe5jaRcLqPmvdLCV+v2sEfTxxGsmfXQW9r9Vamfj+Vbwq+YXTWaKYeMpWBqbt/9nMkFGLZV18w7+P3qCzaQc8Bg/h/N93BoAMmtLhDQbQ8SNnH66hZXoyjp5esK0fjzmv9GKyia9Nag9ZgGGAY5nI0ijYMiETQhoGORMyyqAFRM8CZy1F0JGqVGWBEm5hGzeM2mmIY6EgUHbWOHa49bsQsj0TMdZHa9wmb85FIXXg0y2rDYm2ZFRxry+peDfcnZh2GsVe+tiohAZvHgy0hAeVNwOZJwJaQgC0zA2dCn7rAWTdNTWlYlpIirZuiyzGiBpUlAcq2Nwyh5dv9VBYHiL2w7El0kpbtZfSRfeg1IIWeA5LxpbjBiMIn18OqN2DSdXDsfSDDHraZhNN9kNaav01fSY8kNxcenNfkNoY2eG/1e/x9wd8xtMEtB97CecPOw76b1s5wIMDiLz9j/n+mUV1aQu8h+3Hs5deSN2b/Fo8zqg1N1feFVMzYiI5qko/PI+mwHJRD/pPsCNowzHAU8yJ2uTY81b1iliPW9nXbRBruE7PeCIXQoRA6FEYHg9Z80CqPKQsGMcJmGeGwGToNA7Sun7eW45bNhrLbwelE2e3WvAPlcKIcDvPlNOdjy20ez05l5rYOsNtjyuzgqN3Gbu5jr9+28bK5r7W902HWx1q2edyoBC+2BCuMejzSQ110S4ah8ZcHqSwOUFkSoMKaVhabr4qiGoxo/eeO02MntYeXnnnJDJmQTWoPL6k9vKT0SMDT1C1o0TBMuxKWvQdH3AqT/yjBtJ1ION0Hfb1qBz9uKOX+00aS0MTTkqJGlFu/uZXpG6YzIXsCdx9yN32S+jRxpJh9ImEW/Pcj5n/yATWVFfQdOZop195EnxGj9mjw+1BBFaXT1hDOr8I9JI20UwdKD3zMwGj4azD81Wi/H8PvNy+t+v0Y1bXz1Rh+P7qmxiyr3aamxgp+ITMg1oVC81Ub/GrXEYnsvROpDUVWEFNuN8rlQrldKJcLm8tctqV4zXKXs65MuVxmyLLZwKbMwKSam7ehbApsdjO82e0ouwPsNpTdCnSN1im7zSyLndrt5jHt9vqQudPUXh/y7Hbz/GpDqMMh4U6IOKMNTcAfxl8ewl8Zoro0WB9AiwNUFtdQVRpsED7BbAFNzvCQ0dvHgLGZpFgBNLWnl4QkZ8v/3kVC8N7FsPI/cPTdcNgf9sJZdl8STvcxhqF5aPoq+qZ7OWv8zoFTa83UH6YyfcN0btj/Bi4deeluf9m2rF3FjGefoGjzRvqPPYAJvzqHnKH77Vm9ghEqZmykak4htkQn6ecOI2F05j7/VCetNToQqLsnr/ZlVFQQLSvHqK7CqK62QmY10epqdLWfqL9+alT70X5/y99UKbPFy+fFluA1W99qw53LhS3RZwVBF8pplTudDbapDYLK6Yx5NVwmdr3DiXI560NnzJTadRLShBB7UTRiEKgOE6gK468M4S8PUVMZwl8RoqbCDKH+Cmu5Mow2dr7a4k1xkZzhoWdeMoMO8JCUkUBSuoekDA9J6R6c7nZ4/HW4Bt65ENbMgBP+ChOvbPsxRQMSTvcx/126hZ+3VPDY2WNxNXGZ/NGFj/LBmg+4YvQVXDbqsmaPFQ4E+O6dN1j46cf40tI47Za7GHhA4yfT7l7N8iLKPl5HtCKEb0IvUo7PwxangwwbNTUxw9wUEy0pJVJSTLS4hGhpqRk+KyqsaTlGWXndIw6bpBQ2rxebz1c/9flw9ui5U5k5by0nJJjLXq95CdbnrStTHs8+H+qFEN2bYWiqy4JUlQYJVIXM0FkdIVgdrp/3186by5Fg0x3ybA6FN8mFN9lFYqqbrL5JeJNcJCSbZd4kF75UN4npbhzOdgifzQlVw1vnwC/fwMmPwfiL9+77dVPxmSBEk8JRg79/sZqhPZM4ZUzvnda/vOxlXln2CmcPPZtrx17b7LE2Ll3EF88/Sfn2bYw+5gQOP/9i3N49eypTtCpE6ftrCPxcgjPbR/r5++Hu2zmPGzWCQcIFhYQLCggX5BMuKLTCZ0n9GIzNDHujPB7s6WnYU8wOIO6BA60OISnYkpPN+eSU+o4iycnYUlKw+XwSJIUQ3U4kFDXv37Tu4awqrb+3s7IkQHVpEKOJlk1lU3h8Djw+J26vk8Q0D5k5ibgTnXi8TjyJTjw+J95kJwlWIHUlOOLjczZQAW+eCfnz4PRnYcw5nV2jLkvC6T7k/QX5/FJUzQsXjsdua/iL+v7q93l0waOcmHcit0+4fZe/yIGqKma98RLLvvqC1OxenHX3X+gzfNQe1yVUWEXx6yuIVoVJmdKfxEm9zfv79hIdiRDeuo1wfj7hgnxC+fmE8wvMMJqfT2T79oY7OJ3W+IrpONLSceXFDntjDnXjyMjAnp6BIz0Nm9e71+ouhBDxTmtNOBglUBWmpipsTUPmtDJMoCpETVWY6jLz3s6ayoZXlJQCX6qbpAwPvQamkJhuXkZPSveQkGQGTrfPictjj4+guaeqi+HNM2DrEjjjZRhxemfXqEuTcLqPCISjPD5zDeP6pnLMfj0arPti4xdM/WEqk3Im8cChD2BTTYfENXPnMPPlZ/BXlHPgqWdw8Bnn4nTt+RNXapYXUfL2KpTHQY8rR+PKbf5Rpa0RKS3FP+9H/HN/oHruPEIbNjQcg9Fmw5HdE1dOLr5Jk3Dm5uDKzcWZk4MzNxdHjx5yf6QQQgChQISqkiCVpQGqSsxWzqqSANXlwfogWhkmGml6KDObTeFJcpKQ6MSb4iazT1LMfZxuEtM9JKa6se3FBopOtfZL+PBqqCmFs9+AoSd2do26PAmn+4g3ftjIlvIAj5w1psF/nd8Xfs+ts29ldOZoHp38KE77zsNdVJeVMvPlZ1gzdw5ZeQM4/da76Tmg5Y87raW1pvLrzVRM34gzN5HMC4djT26fxwka1dX4Fyyg+vsfqJ77A8GfV4LWKK8X7/gDSDrmmPoAmpuLMztbxl0UQnRr2tAE/RH8lWaHoarSAJWlwbrwWVUaoLIkSKim4QgeSoE3xW3ep5nqJjM3kYREF55Ep9nKmegiIdFpLbv23dbOtgr54cu7Yd7zkLUfnP8e9Brd2bXqFiSc7gMqA2Ge/mothw3O5JCBmXXlS3cs5YavbiAvJY+njn6KBEfDIZu01iz7+gtm/fMlIqEQh557EeNPPr1FjxttTIejlLy/hppFO0gYk0X6GYNRbbjx3AiFqFm0CP8PP1D9w1xqliyBSATldJIwbhyZ112Lb+LBJIwaKSFUCNEtaK0JB6L4K83L6WavdLNnek2leVndXA7hrzRbPJvqse7xOUlMd5OUkUDvQalmy2a6m8Q08zK7N8WFvau2craXwkXwweVQtBomXm0OF+X0dHatug0Jp/uAf83dRKk/zI3HDa0rW1e2jqtmXkWGJ4PnjnmOFHfDJy+Vb9/GjOefZNPSReQMG8Fx/3cd6b1zW/X+0YoQRf9cQXhzJcnH9yNpcp89/i9aa01o3TqqZs2m+rvv8C9ciA4EwGbDM3IkGRdfjO/giSSMGyePPRRCdBmRcLQ+XFpTf2zgrKwPnM1dWnd57CQkuUhIcpGcmUDP/ikkJFmdhpJceJKcJKV58KW5cTYx/rVoISMK3z0GX/0ZfD3ggg9h4JGdXatuR8JpnAtHDV6bs4GDB2Qwtk8qAIVVhVzxxRW4bC6eP+55srxZDfbZuHQR/3nsrxjRCMdcdjWjjz6h1fdfhvIrKX59BUYgQsZv9iNhZObud7IYNTVUz51L9ezZVM2aTbigAAD34EGknnUmvokT8R54IPak9r9nVQgh9gatNaFAtG7czZq6cTfN1syaylCDdaFA08Mj2R02EpKd5pBISS4yevtIsEKmN9lVHzqtS+17fYgkAaUbzCc+bfre7PB00t/Bm97ZteqWJJzGuc+WbaWwPMDUU0cCUFRTxBVfXEFNpIZXT3i1wZOftNb89PknfP36i6T3zuW0m+8iNbtXq9/bv2QHpe+uxuZzknXlGFy9E3e7T2jTJqpmzaZq9mz8c+eiQyGU14vv4IPJuOIKEg8/DGev1tdJCCHaUzRqEKjrnV7bOcgcl7OmKkyg9nJ6TA92I9LEo3aVeTndHP7IWT8WZ5KrvoUzuX7e6e6m93HGI61h8Vvw6S3mDbmnPw+jz5JHkXYiCadxTGvNS9/+Qv9MH0cN60FlqJKrvryKbdXbeOG4FxiSNqRu20g4zMyX/sGyr75g4PiJTLn2D7gSWjc8kjY0FTM3UTlzE65+yWRcsB/2RFeT2xqhEDXz55uBdNYss1c94Orfn7RzzyXxiMNJGD8em6vp/YUQoq0MQxMJRQnVRAn6w9bg7hEC1WGCfmvgd2tau6522rizUCy312G2XCY6SUr30KNvEp7Ehi2bCdZ4nAmJzq7bW70r85fAJzfAzx9Dv0nm+KWpfTu7Vt2ehNM4tnBTKYs3l3HfqSMIGUGunXkta8vW8uRRTzK2x9i67apKS/j4739my+qVTPz1uRxyxrmtvoxvhKKUvruamqVFeA/oSdrpg1CNnkSltSawdCml77xD5aefYfj9KJcL74QJpJ1/PomHH4arX7+2nLoQYh+gtcYwNNGwgRHRRCNGzKvhshHRGFGz3DBql2PKoppo1DDLIgbRqBk4I8Eo4VCUcNAgEooSDkbrpuFQlEjIIBpu+j7NWrUDv7u9TtxeB95kF2m9vLi9ZvCsbfGsDaIe6yWdhrq4tTPNIaL8xXDMvXDIdWCT2yfigYTTOPbiN7+QkuDk1HE9uWnWTfy0/SceOvwhDs05tG6brWtX89EjDxCoruKU39/GkImHNnPE5kXKghS/vpzwlmpzYP3DchpcdopWVlL+ySeUvfMuwZUrUV4vySeeQNKxx+KbMEE6Mom4orUVeCJG3bQ2JEWjDaeGodFag6Z+CvU9oa1yreuPbZbVlmu0AVjbGIZusE9TPar3zjmb72VErQAYrQ+A9fP1y9GoRhvW18gwQ2HtNrVlUStU1oXL2vBoff3YC6embAq7XeFw2XG4bThddpxuOw6XHW+yC4fLjtMqd1jlTpcdp8duDfbuwOOtnzq761BIomnBSph5H8x7DrKGwfnvQK8xnV0rEUPCaZzaXOJn+vKt/N8RA/nHkseZlT+LuybexQn9T6jbZsU3XzHjuSfwpaZz3n0Pk9Wvf6vfL1ISYPuzi9HBKBkXjSBhmHkTuNaamkWLKHvnXSo++wwdCOAZPpzse+4h+eSTsCfu/j5U0bHqAlHUDF2Goevna0OKoWNCTP28NuqXtUH9OqPxutrjNXoZTYeguhay2GDTRCub0cTynmYfrakLWQJQYLMrbHYbNpuy5lWDMrvDmrfK7U4bTo8dm92GvXZbh7nebm1nd9iwO23mvg6buVz7cprbxS7bYvare+8Gy/XHVjYJkmIv0BpWfAif3w6VhTDhSjjmHnBKw0q8kXAap16dswGbUuTkruCvC97kguEXcNbQswAwjCjf/Os15n/yAX2Gj+Lk39+GNzllN0fctWhliB0vLUWHDbPjUy8f0fJyyj/6mLJ33yW4Zg02r5eUU08l9cwzSRg5or1Os9sxogaRsLFTi15tK95OLXsR85JlKBAhFIgStqahQISwNQ3VRAkHzWlteVPPtO5QtYHI1ij02G3YHGqnION02esDTkywsTnUnrd4KbMntN0KVLHvWReqYuZtDoVNKcwHqymzD4SqnYKidh1mXZTZT6J+XtUtK1t9uc2mdtqmIyjbzuFTiG6vaC18ehOs/wqyR8FZr0Gfgzq7VmIXJJzGocpAmLd/3MzhI8M8vugvjO85nt8f8HsAAlVV/PeJh9iweCFjjz+ZyRde1qpB9WsZNRGKXl6GURki89KRRApXUvTYO1R8Ph0dDOIZNYrs+6aSMmUKNp+vvU5xn2cY2uxkUW324K3tbBGoezVcDlqdM8LBpoeV2RNOtx2Xx47T48DlseNKcJCQlIArwYHLbZY7XPUtUHWtZTYVE1xsDZbrtrNZAcvWcHszeO28PjZ4SiASQsSdkB++eQTmPAEOD5z4EIy/FOwSf+KZfHfi0Ns/bqYqXMEG+wskO5P52xF/w2lzUpy/mY8evo/y7ds59oprGX30Cbs/WDOMUJSiV5cT3u4n6RAnBTf8luDKldh8PlJ+dTppZ56JZ/jwdjqr+BYKRKguC9YPJ1MbOqvC1NTNh+rWBf2RXd5rpxS4fWYnC4/PgS/VTUZOYt09cHanzWoZrL8cGnt502zZq2/1sztsuBLsuDwOc/gZCX5CCLF7qz6Dz26Bsk0w+mw49j5I6tnZtRItIOE0zkSiBq/MWU/2oPcpDe3g1RNeJTMhk3UL5vHpk3/D4XJz1p/+TM6wtoVGHTUoefNnQhsrUCyk8MZncfbuTa/77yN5yhRs3tYNQxWPjKhBdXmIqpIAlaUBqkqCVJYEzOWSIFWlATNsNsHusFnPmjbDZlZfDwm++t68nkSnFTrrw6jL45AAKYQQnaV0A3x2G6z+zOzwdNF/oP9hnV0rsQcknMaZGSu2scP+CW77cu466C5GZ45m/icfMOvNV+iRN4BTb7qT5Mys3R+oGdrQlLyzisCqUoIr3yW09isyLr+czKuu3GdDqWFoKnbUUFJYTcmWKkq3+qksCVBZEqC6LLRTb2m310FiuoekDA+9B6WQmO7Bl+o2B8hOdOH2OUhIdOFw2aSXrxBC7AsiQfPy/eyHQdnh2Kkw8WqwOzu7ZmIPSTiNM49//yHurP9x2sDT+fXAXzHz5WdZPOO/DJkwiROu+T1Ot6dNx9daU/zafAKrAgSXf4AjtYzcD6fhHjSonc5g7zIMTUVRbQitrpuWbfU3eCZ1Yrqb5IwEcgankZjuJindY4bRNA+J6W5cHvnRF0KILmPd/+DTm6F4LQw/FY7/M6TkdnatRCvJX+g48unKJRQ4XiLbPYhbxv2Bjx95gPULf2T8Kb/i8PN+2+qB9WtFq6rY+tCH6FA/wptnkXHpZFJO/X9x2zIYCUfZsamKrevKKSqopKTQDKGRmAG3E9PcpPf20WdYGum9faT3SiStl1fCpxBCdAfVxfDZzbDsfUgfAL95HwYd09m1Em0kf8HjhD/s5965N6Nw8NiE+/jwvrvZseEXjr70asYeN6VNx9ZaU/nZZxS9OgvXgJNR9kL6PH0tjtTU9ql8O6kuD7J1fTlb15WzdX052zdV1j3D2pdqhtCcIbUh1Hy5EuRHWAghuqWVn5qPHq0phcl/hEm/A2fbri6K+CB/2eOA1pqbvr6dar2F4+3XMufhRwhUVnLaLXcxYP8D23Ts0IYNbL3vfoIbIySMvxRnroMeV52Fsndua6kRNSgurK4LolvXl1NRFADMTkg98pIYc1QfsgekkD0gBW+yq1PrK4QQIk7UlMHnt8Hit6DnKLjgA3PsUtFlSDiNA6+veJ1vCmeStf4w+m38AsPj4ex7HqTngNbfB2oEgxQ//wLFL7yAo/dYEsZfintACpkXj+y0YBr0h1n5w1Y2LCli2y8VdWN+elNc9BqYwqjJuWQPTCErNwm7U55pLYQQopG1X8JH10HVNjj8Zjj8FnBI40VXI+G0k83dMpe/L/g7A9cN5dDV+STn5PKrP95DcmaPVh/TqK5m02WXU/PTTySdfCG4D8PZy0fGRcNRnRD6dmyqZNnsAlbP20okZJCR42PYxGyyB5qtokkZnri971UIIUQcCFbCjDthwauQORTOeQNyDujsWom9RMJpJ9pavZWbv76ZCWtzGboqQNqgEZx7x59we1v/JCajpobNV11NzZIlZE99DP/yJOzJLjIvHonN3XHf7kg4yroF21k6q4Btv1TgcNoYclBPRh6RS1bfpA6rhxBCiH3cL9/AR1dD2WY45Do48k65t7SLk3DaSYLRIH/48neMme8iL1+xrecofnfvVOyO1o/HZoRC5F93Pf4ffyT73oepWZ2CzWMj89JR2H0dM85b+Y4als8u4Oc5WwhUh0nt6eXQMwczdGI2ng6qgxBCiC4g5IeZU2HuM2ZP/Es+h74TO7tWogNIOO0kf5l9H72nF9Gr2MMPqQfy28sub1Mw1eEwBb//A9Xffkv2vQ8Q3JgFOkLmpSNxpLrbseY7MwzNpmXFLJ1VwKYVxSilGDAmkxFH5JA7NE0u2QshhNgzm+fBtCuhZB0cdAUccw+4Wn9VUexbWhROlVInAI8DduBFrfWDjdYra/0UwA/8Vmu9sLl9lVLpwNtAHrABOEtrXaqUOhZ4EHABIeBmrfX/rH2+BnoBNdZbH6e13t6aE+9M/577CpE35tHLn8C6/U6h0DOI40dkt/p4Ohql4JZbqJo5kx533kmkcjCRsnKyrhiNs8fee+JTKBBh6df5LJ9dSGVJAF+KiwOn5DH80BwS0/ZuIBZCCNEFhWvg6wfNJz0l58CFH8OAIzq7VqKD7TacKqXswNPAsUA+8KNS6mOt9YqYzU4EBluvCcAzwITd7HsbMFNr/aBS6jZr+VagCDhFa12olBoJTAdyYt7rfK31/DaddSdavm4Ba55+h2TtZv/Lb+XJGeXceXQeDnvrOippw2DL7XdQ+dnn9LjlFmxJE6hZtoW0M4bg7pfczrWvfU/Nz99v4YeP1lNTESJnaBqTzhhE3phM7K08DyGEEN1YsArmvwxznoTq7bD/hXDcA+DZO3/HRHxrScvpQcBarfV6AKXUv4FTgdhweirwutZaAz8opVKVUr0wW0V3te+pwGRr/9eAr4FbtdY/xRx3OeBRSrm11sFWnWEcqS4r5eMH78NhKE67617+8ZMi0V3NWQf2adXxtNZsvXcq5R99ROb11+EefgJlH64l8bAcfON7tnPtTYVry/j2nTXs2FRJ9oBkTrpqND37y4eHEEKIVqgphbnPm/eV1pTCgMlw+KuQN6mzayY6UUvCaQ6wOWY5H7N1dHfb5Oxm355a6y0AWustSqmmxk76NfBTo2D6ilIqCrwP3G8F4rgXqvHz6tQbsVWF6HHx8SRnD+c/S/7HhQfnkezZ83tNtdZsf/BByt5+m4wrriDp+HMpemk5nqFppJzYv93rX1kS4PsP1rJm/nZ8qW6OvWQ4gw/sKfeTCiGE2HNVO+D7p+DHlyBUCUOnwGE3Qu74zq6ZiAMtCadNpY/GgXBX27Rk36bfVKkRwF+B42KKz9daFyilkjDD6QXA603sewVwBUDfvn1b8nZ7VTQSZtrD9+Mv3Ma6IxK48Zhr+PuMtRhac/GkvFYdc8djj1Py2uukXXgBaRddyY6nF+HI9JB+7jCUrf0CYzgYZeGMjSyasQkNjD8pj/2P64fTbW+39xBCCNFNlOfDd0/AwtcgEoQRp5uhNHtkZ9dMxJGWhNN8IPa6cy5Q2MJtXM3su00p1ctqNe0F1HVsUkrlAtOAC7XW62rLtdYF1rRSKfUvzFsOdgqnWuvngecBxo8f36ktq9ow+Pwfj5G/bAnfjyrhnjOeIxSBN+du4vgR2fRJ3/MOS0XPPEPxc8+RevbZZP3+ZnY8swStIfPCEdg87TMAg9aaNT9u4/tp66gqDTJofA8OPn0gyRkJ7XJ8IYQQ3UjxOvjuMVj0FqBh9Dlw6O8hs/VPQhRdV0uSzI/AYKVUf6AAOAc4r9E2HwPXWveUTgDKrdC5o5l9PwYuwuyZfxHwEYBSKhX4L/BHrfV3tW+glHIAqVrrIqWUEzgZ+HLPT7njaK2Z9cZLrPxuFj8NLWfM0ScwOms0//xhI+U1YS49dM8vvxe//Ao7Hn+ClFNPpeddd1HyxkoiRX4yLxmFI7N9guO2DRV8+84atq4vJ6tvEsdeMoLeg1Pb5dhCCCG6ke0/wzePwLL3weaEAy6CSTdAaudf1RTxa7fhVGsdUUpdi9lr3g68rLVerpS60lr/LPAp5jBSazGHkrq4uX2tQz8IvKOUuhTYBJxplV8LDALuUkrdZZUdB1QD061gascMpi+05eT3tvmffMCC/37Ejv3cbBqqeGrcDUQNzSvf/sKYPqkc0C9tj45X8q9/sf2hh0g68QR6PXA/5V9sIrCyhNTTBuIZlNrm+laXB/lh2jpW/rCVhCQnR14wjGEH98LWjrcJCCGE6OKMKKz+HOY9D+u/BqcPDr4GDr4Wklo/bKLoPlp0DVhr/SlmAI0tezZmXgPXtHRfq7wYOLqJ8vuB+3dRlX3mQbrLZ81k9puv4BvVn1dzv2bq+KmkelJ5+8dNrC+q5pnz99+jzkRl73/Atqn3kXjUUeQ89BD+xcVUzcrHN7EXiRN7t7m+FcU1vPfgfIL+COOO68v4E/NwJcgzGoQQQrRQdREsfN0cEqp8szlO6VF3wvhLwZve2bUT+xBJH3vB+p9+ZPqzj9N7+Aie7T+HcenjOHXQqfhDER6ZsZr9+6ZywsiW//dYOXMmW+68E9+kSeQ89iihwhpKP1iDe0AKqacMaHN9I6Eonz+3jGhEc9YdB5LRO7HNxxRCCNFNFCyAeS/Asg8gGoT+h8PxfzZ74NslZog9Jz817WzLmlV88uiDZPXtz+oj3JRvquSOCXdgUzZemL2O7ZVBnvlNy1tNg2vWUHjzLXhGjiT3qScx/Jrif67Anuom/fz9UG0c9F5rzax/r2bHpkpOunq0BFMhhBC7Fw7A8mnmpfvCheBKhP0vgAMvhx7DOrt2Yh8n4bQdlRTm88Ff7yUxNZ2hV5zF3769iguGX8DQ9KFsrwjw3Ox1TBmVzQH9WnZ5I1pWxuZrrkX5vOQ+9STYXRS/vhgdNsi6fBR2356Pj9rY8m8KWTlnC+On5JE3OrPNxxNCCNGFlW0yL9svfB38xZAxGE78G4w5R57mJNqNhNN2UllSxHsP3IXNZuPUP/6Jq+ffSFZCFlePvRqAR79cTThqcMvxLfuPUkciFPzhRiJbttD39ddwZPWg5K2VhLdUk3HRCJw9fW2u89b15Xzz9mr6jsjgwJPbf+B+IYQQXUCgHFZ9Zl62X/uFWTZ0Chx0OfQ/AuRhLKKdSThtB4HqKj74890Eqqo4++6/ML1sNj+X/MzDRzyMz+lj9bZK3v5xMxcdkkdeZstC5faHH6F6zhx6PXA/3nHjqPhyIzVLi0iZ0p+EYW2/sdxfEeLz55eRmGY+7Ul65AshhKgTrIRVn5uX7td+AdGQ2cFp0u9g/CWQ2rrHbgvREhJO2ygcCvLhQ/dRUljAr267B1t2Ck99+BSH9D6E4/qZD7f6y6c/43M7uP6owS06ZtmHH1Ly6quk/eY3pP7619QsK6Liy014D+hJ4mE5ba6zETWY/sIyAtVhfn3LAXja4fYAIYQQ+7hglTkE1PJpsOYLs3NTUm848DLzSU4548HWtn4OQrSEhNM2MIwonz35CAUrl3PS9TfTb/RYbp19K8FokNsn3I5Siu/WFvHVqh3cPmUYaT7Xbo9Zs2QJW/90N94JE+h56y2Et1VT8s5qXH2SSDt9ULs8y37OtHUUrinjmIuHk9Unqc3HE0IIsY8KVcOaGWYgXT0DIjWQmA0H/BZG/gpyD5JAKjqchNM2mP3Gy6yZN4fJF17GsElHMHfLXD795VOuHHMl/ZL7YRiaB/77MzmpCVx4cN5ujxfevp38a6/DkZVFzmOPoqOK4n/+jHLZSP/NfihH2z8g1szfxuIvNzNqci5DJ8hgyEII0e2UboSN35mhdPV0CPvB1wPG/cZsIe07EWz2zq6l6MYknLbSws8+YcF/P2LciadwwEmnEY6Guf+H++mT1IdLR14KwLSfClixpYLHzxmLx9n8L7oRClFw/Q1EKyvJ+/db2FNSKX7jZyIlAbIuG4Ujxd3mOhcXVPG/138me0AKk86Q5xkLIUSXpzWUrDfD6IbvzGn5ZnOdN9PsZT/idOg3SQKpiBsSTlth7Y8/8NVrzzNw/EQmX3gZAK+teI0NFRv4x9H/wOPwEAhHeXjGKsbkpnDK6Oaf4KS1ZuvUqdQsWkTOY4/iGTqUipmbCKwoJuWUAbgHpLS5zsGaCJ89txSXx8EJV4zE3g6tsEIIIeKM1lC0BjZ+Wx9GK7eY67yZkDcJDrnenGbtJ5fsRVyScLqHtq5dzX+f+BvZAwZx0vU3YbPZya/M57nFz3Fsv2M5LPcwAF769he2lAd47Oyxu+0JX/rmvyh/730yrrqS5BNOoGZVCRVfbsQ7NovEQ9r+aFJtaL58ZQWVRQFO/cM4fKltb4UVQggRB4JVsH0FFC4yg+jGOVC93VyX2NNsEc071HxlDpFhn8Q+QcLpHijfvpVpD03Fl5rKabf8CafbA8Bf5/0VpRS3HHgLAEVVQZ75eh3HDu/JhAEZzR6z+oe5bPvLX0g88kiyrruOSHENJW+twpntI/VXg9ulA9SCzzewYUkRh541mN6DUtt8PCGEEJ2gchtsXQpbl9RPi9cB2lyfnAMDJputov0OhYyBEkbFPknCaQsFqqr44C/3YEQinH73X/ClpgHw1aav+Dr/a2484EayfWYHoydmrqEmHOW2E5sfcD+Un0/B736HKy+P3n97CB0xH02KgowLhmNztf3+n43Li5n7yS8MOagno4/MbfPxhBBC7GVG1LxPtDaEbrGmtS2iAKl9IXs0jDrTnGaPgpRcCaOiS5Bw2gKRcJiPHrmf8u1bOeOO+8nIMQcfLqop4t7v72VQ6iDOH34+AOt2VPHm3E2cd1BfBmbt+jn1ht9P/jXXog2DPk8/hc3no+Tfqwhv85N58Ugc6Z4217t8Rw1fvLScjN6JTP7NsHZphRVCCNFGWkNNKZRugLKN5rR0ozW/0eywFA2Z29oc5r2hg46BXlYI7TkCEtI68wyE2KsknO6G1prpzzxG/oplTLnuJnKHjwQgakS57ZvbqA5X88JxL+C0mQPZP/jZShKcdm44ZtcD7mutKfzj7QTXrKHPc8/hysuj8psCahbvIPn4PDxD2v6hEw5F+fz5pQCceOVInO3QCiuEEGI3wjXgL4Gakvpp1fadA2iosuF+CWmQ2g+yR8KwkyBrqNkimjUUHNJPQHQvEk5347u332Dld7M49JwL2e/QyXXlLyx9gblb5nLvIfcyOM0MonPXF/PFim3cfPxQMhN3/WFS/NxzVE6fTo+bbyLxsEMJrCuj/LP1JIzIIGly2y+911SG+PKVFRTlV3HS1aNJyfK2+ZhCCNGlRSMQrjbDZajaHPszdj7kt6bVDYNn3bTUnIb9TR/f6TXDZ1o/s5NSWr/65dR+4Enu2PMVIo5JOG3GkpnTmTvtbUYddRwHnXZmXfmPW3/kmcXPcNKAkzh90OkAGIbmz5/+TK8UD5ce2n+Xxyyb9iE7Hnuc5JNPJv2SS4iUBSn510ocGQmknTWkzZfeC1aV8sXLy6mpDjP5vKHkjcps0/GEEF2E1uaLXUy1Yc0bMeVGo/2M+m111Lw3UkfBaLzcmnKjie1i5yPWcsTaNnY5Wj8fCZqXxGunsfORIETD5mM5a8vCNWagrL2M3hLKBp5U8KZDQrrZESl7tNn6WVsWO/VlmS+5tUqIFpFwugsbFi3gyxefJm/M/hx96dV1obG4pphbZ99K36S+3DXxrrryT5YUsji/nEfOHLPLAfcrZsxgyx134DvkYHr9+QGIaIrfWIGOGGRcOBybu/XfDiNq8OOnG5j/6QZSe3g56dox8mjSfUntH/zYP7hN/fFt9g9+zLw26l+G0XC5NljUzesm1jd+6aa321XQQVsdiFsaiBqFn9ivyW73iS0j5jjNncsuypoMZE2ta2LbBmWN3qeuvAVfk92e2662NXa9rqtSdnPgeGU378202c1L4HY3OFxgt14Otzn1+hqVOc0WTacXXD5wJsTM15Z7G5a5vOBOkfFBhdiLJJw2YfuG9Xz86INk5vbl5N/dht1hfpkMbXD7t7dTHiznmWOewef0ARAIR3no81UM75XM6eNymjxm1XffUXjjTSSMGkXuk0+inE5K319DOL+KjAuG42zDpfeq0gBfvLyCwjVlDJuYzWHnDMHlkW9tA4ZhPjO6tpWk9hJduLasGsIBq6UlCJFQfatL4xaXaChmfRiMsBkgo42mDebD5mXDxqGzLnhGOvsr1MGU2fqklDVvLdfO77R+F/vsqsxms8p39Yp9v5jlxmV1x3I0vT2q0TF3Vd743BqfV+Py5r4usVNasE1zU3ZxTk18ferKa8tig6HdLGuw3B7lVuDcadkRUy8hRFcjCaaRyuIipv31XtxeL6ffdg9ub31ofGnpS8wpnMOfDv4TQ9OH1pW//v0GCspqeOiM0U0OuO//6Sfyr70OV//+9Hn+OWw+H1Vzt+Cfv42ko/qQMKL5sVCb88uSIma+toJoRHPMb/dj6MRerT5W3IlGwF8M/iIIVECoCoKV1rRq98u1QTTsh0igDRVR9S0vsS0utcs2h/myO82pM8Eqc4Ldmtoc1nzMcu0f3dr9a//gxi7bGv/hbu4Pu8MKUjHbNPeK3aa5QNdU0GoyJLZgKmFCCCHEbkg4jRGormLag/cQqvFzzr0PkZRRf7/mgm0LeGrRU5yYdyJnDD6jrry0OsST/1vLkUOzmDRo5/s7A6tWsfn/rsTRI4u+L72IPSWF4KYKyj5eh2doGsnH9GtVXaNhg++nrWPx/zaT2SeR4y8bSWrPOO/4ZBjmOH2VW6C6uD54VhdZ09jlYgiU7f6YDg+4EsGdCK4k89KbN8PsYBB7mc7pjblkFzPvTABn7XYJMQG09pKg2wpxEqqEEEKIjiDh1FKcv5mPHjbHMj391rvJ6lffqak0UMots28hNzGXPx38p7r7TKOGZup/VlAdjPDHKfvtdMzQhg1suvQybF4v/V5+GUdWFqH8Sor/uQJ7ipv0s4eidvNo06aUbfcz48Xl7NhUyegjcznkV4OwOzv5/ietzTBZng/lBVCRHzNfYM5XFJqXtxtTdjNQ+jLNaa/R5jOga5d9meBJMcOnOzEmjCaarZVCCCGE6DIknAJr5s7hs388itPt5sw7H6gbyxTq7zMtDZTy5pQ3SXSZA+sHwlF+9+9FfL58KzccPZghPRt2Pgpv2cLGSy6BaJS+r7+GMycH/+IdlL63GpvPSeZFw7F59zxYrZ63la/fXIXNrjjxylEMGJvVtpPfE0YUyjaZj8srXmu+StbVh9BwdcPtbQ5I6g0pOZB7oPn0kpRcSMo2e656M8GXYfZ6lZZJIYQQQtDNw6lhRPnu7TeY9+G79Bo0lFNu/CNJ6Q0vzb+6/FW+LfiWOybcwX4ZZutomT/E5a/PZ/7GUu46efhOQ0dFSkrYdMmlGBWV9H3tVVx5/SmfvoHKrzbjyksm4zf7YU907VFdw8Eo37y9mp/nbKHXoBSOvWQESe3wFKmdaA1V2+rDZ/Ha+jBa8kvDlk93MqQPMAeJHnSMOZxKSg4kWyE0sYd5SVwIIYQQooW6bTitqark0yf+xobFCxl19PEcdfGVOJwNWzIXbV/EEwuf4Nh+x3L20LMBKCir4aKX57Gp2M+T547j5NG9G+wTraxk02WXES4spO9LL+IeNIziN34msKIY7/iepJ02COVo+SV4rTUblxUz5/21lG7zM35KHgeelIfN3g6X8Q3DbPnMnw8FC6BwIexYZXYoqmV3mwE0cwgMnQIZg+pfvkxp8RRCCCFEu+qW4XT7hvV8/MgDVJUUc+wV1zL66BN22qYsUMZNs26il68X9x5yL0opft5SwW9fmYc/FOW1Sw7i4IENe9kbNTVsvuoqgqvX0OcfT+MaMJIdzywivM1PyikDSDykd4sH2TeiBmsXbmfh55soLqgiMd3NqTeMJXdYeutPvHKbGUILrDBa8BMEy811rkToPQ7Gnm+Fz4HmNCVXWj+FEEII0WG6XTj9+btZzHj2CTyJiZx194P0HjJsp2201tz53Z0UB4p548Q3SHIlMWddEf/3+gJ8bgfvXnkww7IbPmpOh0Lk33ADNQsWkvP3R3Dmjmb70z+ho5B5yUg8g9NaVL9IKMrK77fw0xebqCgKkJbt5eiL9mPwgT2x70GLK6FqKPzJDKH586FgodlJCcwOSD1HwKhfQ84B5itziIRQIYQQQnS6bhNOjWiU2W++woL/fkjOsBGc8vvb8KU2HRhfX/E6s/JncdtBtzEicwSfLC7kxncW0y/Dy2uXHETv1IQG2+tolIJbb6V69jdk3zcVW/pYdry4DEeGh4wLWzbAftAfZtnsAhbP3ExNZZie/ZOZdMZg+o/ObFmP/nANbJ4LG76FX74xQ2nt/aFpedB3AuRcYwbRXqPNYZOEEEIIIeJMtwin/opy/vPYX9m8fAnjTjiFIy64tO6pT40t3rGYxxY8xtF9j+a8Yefx4jfruf+/P3NgXhovXDieVG/Djkxaa7becw+Vn31O1s23gGscZdPW4h6SRsZ5w7Dt5klN1eVBFs/czLLZBYQDUfqOSGf/4/vRe3Bq87cAhAOQ/yNs+MYMpPk/mk8sUnboPRYOvgb6TTLDqK/1g/wLIYQQQnQkpXUXfu4yMGbUKH3NYeOpqSjnmMuvYcQRR+9y240VG7lixhUopfj3SW/z1JcFvPjtL5wwIpvHzhmLx1l/2VsbBv65cyl5802qvpxJ+v9dgy3xcILrykk8LIeUE/s32+JZtt3PT19sYuX3W9BRzaADejDuuH5k9U1qeodI0GwN/eUbM5Bunmc+SlPZoNcYyDsU8g6HvhPBk9z0MYQQQggR15RSC7TW4zu7Hp2py7eclhTmgxrPOVMfoueAQTutD0fDzNw8k/dWv8fcLXNx2908d8yL/Gnaej5eXMiFB/fj7lNGYLeCZmjTJso//JCyDz8kUrgFW3Iy6VfeiBEaQ3hDBWlnDsF3QM8m6xKoCrNxeTHrF+3gl0U7sNlt7HdIb8Yd24eU2Ev/WptjhxbMj+lJv8h8NjwKskfBQZebgbTvwZCQ2v5fOCGEEEKITtDlW04H5vTSS39eiTc5pUH5xoqNvL/6fT5a9xElgRJ6+3rz6yG/5ug+J3PXe5uYs66YW08YxpVHDED7/VR8Pp3yadPwz58PNhu+SZNIPvF07JkjqJiZj3LayLhgOO5+9a2WWmtKt/jZsLSIDUuL2LquHK0hIcnJsIN7MeboPvhS3Obz4AsWWmHU6k1ftc08iN1ttozmjq8Po9429NgXQgghRNySltNuEE7Hjx+v58+fD0AoGmLmJrOVdN7WediVnSP7HMkZQ85gQOI4ftpUzhMz17B2exUP/Wokx0e3Uj5tGhUzZqD9flwDhpB47Dk4skcQzg8SKQ4A4MxNJOM3w3GkuolGDArXlLFhiRlIK4rMbTL7JJI3KpO8/RLp4StEFf5UH0Z3rASs70P6QPNpSrnjzftFe440n/MuhBBCiC5PwmkLw6lS6gTgccAOvKi1frDRemWtnwL4gd9qrRc2t69SKh14G8gDNgBnaa1LrXV/BC4FosD1WuvpVvkBwKtAAvApcIPezQmMHz9evzvz3bpW0rJgGb19vTks+2TSjEmsKlAs2FhKQVkNAAMj5fw1KZ/Ub74gXFCIo9cwvBNPwZ4+mEiJAQYolw33gFTcg1PxDE4j7LGzaXkJG5YWsWlFCeFAFLtDkdtXk5e9g36+ZSRVL4WiNfXDOQEkpEHOeCuIjoec/aVVVAghhOjGJJy2IJwqpezAauBYIB/4EThXa70iZpspwHWY4XQC8LjWekJz+yqlHgJKtNYPKqVuA9K01rcqpYYDbwEHAb2BL4EhWuuoUmoecAPwA2Y4fUJr/Vlz9c8ckql73dELGzaGRseRunUo/vVOkqrKyagpp0+0kn7aT2agHG9FObaoE0eP/XAPOxTl6wtRc2xR1cNLNCuBap+T8miIqlI/VaVBqsrClJcagMLn9tMvcQV5aha59nk4VcishCsRMgdDxmBzPNHMQZA92nzykjxhSQghhBAWCact6xB1ELBWa70eQCn1b+BUYEXMNqcCr1utmD8opVKVUr0wW0V3te+pwGRr/9eAr4FbrfJ/a62DwC9KqbXAQUqpDUCy1vp761ivA6cBzYfTUh+vzL4eJ3bsNic2mxOby4Ety2HOOxxWuR2l6ge5DxGhOBRkS1CxNWwnXFYOq82nKSmi+GylJNqLyLIXMTRxM3nuBWRmhlGZgyFzFGSebgbRjMGQlC0hVAghhBCiBVoSTnOAzTHL+Zito7vbJmc3+/bUWm8B0FpvUUr1iDnWD00cK2zNNy7fiVLqCuAKgFHZQ8nMHEpEU/cKo+uXDYgamojWRHSUsDaoNiqwOUtJdFeTnhGkrzdMYpJBYrKNxBQn3lQPtoQkcPcG91BI7Gk+7lMGthdCCCGEaJOWhNOmmvwa3wuwq21asm9L36/Fx9JaPw88D7D/mNE6+/cDUHY72Bwomw3sdpTNATY7yu4wW0ztCgUopVr2RCYhhBBCCNHuWhJO84E+Mcu5QGELt3E1s+82pVQvq9W0F7B9N8fKt+abq8dObE4Xnuzc3W0mhBBCCCHigG33m/AjMFgp1V8p5QLOAT5utM3HwIXKNBEoty7ZN7fvx8BF1vxFwEcx5ecopdxKqf7AYGCedbxKpdREa3SAC2P2EUIIIYQQXcBuW0611hGl1LXAdMzhoF7WWi9XSl1prX8Ws+f8FGAt5lBSFze3r3XoB4F3lFKXApuAM619liul3sHsNBUBrtFaR619rqJ+KKnP2E1nKCGEEEIIsW/pVoPwCyGEEELEMxlKqmWX9YUQQgghhOgQEk6FEEIIIUTckHAqhBBCCCHihoRTIYQQQggRNyScCiGEEEKIuCHhVAghhBBCxA0Jp0IIIYQQIm5IOBVCCCGEEHFDwqkQQgghhIgbXf4JUUqpSmDVHuySApTv4du0Zp9MoGgvv0dH7LOn59Ga9+iofeL1XORnUr6Pe0K+j/G3T7yei/xMxuf3cajWOmkP9+latNZd+gXM38Ptn2/Fe7Rmn3it1x7ts6fnIefSqnrJz6R8H+X7GCf16krnIj+Tcft93OP36Wovuay/s086aJ+OeA85l72vI+rVnc+9tft0xHvI93Hv79MR79Gdz6U7n3tr94nH9+hyusNl/fla6/GdXY/G4rVee6qrnAd0rXNpja5y/l3lPFqrq5x/VzkP6Frn0hpd5fw76jy6yterLbpDy+nznV2BXYjXeu2prnIe0LXOpTW6yvl3lfNora5y/l3lPKBrnUtrdJXz76jz6Cpfr1br8i2nQgghhBBi39EdWk6FEEIIIcQ+QsLpXqSUOl0ppZVSwzq7Lq1h1f2fMcsOpdQOpdR/OrNebaWUqursOnS23X0NlFJfK6Xi9p6nff13qy2UUncopZYrpZYopRYppSZ0dp1aSymVq5T6SCm1Rim1Tin1uFLK1cz2v1NKeTuyji1h/Sw+ErN8k1Lqnk6sUodRSkWtn8PlSqnFSqk/KKX26WwhfyM63z79A7QPOBf4FjhnT3ZSStn3TnX2WDUwUimVYC0fCxR0Yn2EqNWq3619nVLqYOBkYH+t9WjgGGBz59aqdZRSCvgA+FBrPRgYAiQCDzSz2++AuAunQBD4lVIqs7Mr0glqtNZjtdYjMP9GTAHu7uQ6iX2chNO9RCmVCEwCLsX6A6qUmqyUmq2UmqaUWqGUerb2P0ylVJVSaqpSai5wcOfVfCefASdZ8+cCb9WuUEodpJSao5T6yZoOtcq/UUqNjdnuO6XU6I6s9O5Y34v/xCw/pZT6rTW/QSl1r1JqoVJqaVdtnWvuaxDPmvnd2tX3c4pSaqVS6lul1BP7eMt/L6BIax0E0FoXaa0LlVIHKKVmKaUWKKWmK6V6QV0L+GPW7+cypdRBnVr7ho4CAlrrVwC01lHg98AlSimfUuph6/dviVLqOqXU9UBv4Cul1FedWO+mRDA7sfy+8QqlVD+l1EzrPGYqpfoqpVKsz5naz3+vUmqzUsrZ0RVvT1rr7cAVwLXKZFdK/U0p9aN1/v9Xu61S6hbr+7tYKfVg59W6aUqpROv7Vft34FSrPE8p9bNS6gWrtXhGTAOOaCcSTvee04DPtdargRKl1P5W+UHAjcAoYCDwK6vcByzTWk/QWn/b0ZVtxr+Bc5RSHmA0MDdm3UrgcK31OOBPwJ+t8heB3wIopYYAbq31kg6rcfso0lrvDzwD3NTZlRENnEbTv1s7sX5unwNO1FofCmR1TBX3mhlAH6XUaqXUP5RSR1iB5kngDK31AcDLNGx99GmtDwGuttbFixHAgtgCrXUFsAm4DOgPjLNaiN/UWj8BFAJHaq2P7OjKtsDTwPlKqZRG5U8Br9eeB/CE1rocWAwcYW1zCjBdax3usNruJVrr9ZjZogfmP5DlWusDgQOBy5VS/ZVSJ2L+Hk/QWo8BHuqs+jYjAJxu/R04EnjEau0HGAw8bbUWlwG/7pwqdl0STveeczGDHdb0XGt+ntZ6vdVK8BZwqFUeBd7v2CrunhUq8zDr/2mj1SnAu0qpZcCjmH9sAN4FTrb+aF4CvNohlW1fH1jTBZjnL+LHrn63mjIMWK+1/sVafquZbeOe1roKOACzdWoH8Dbwf8BI4Aul1CLgTiA3Zre3rH1nA8lKqdQOrHJzFNDUcDEKOBx4VmsdAdBal3RkxVrDCtavA9c3WnUw8C9r/p/Uf+a/DZxtzZ9jLXcVtSHuOOBC6+dyLpCBGeyOAV7RWvshbr+/CvizUmoJ8CWQA/S01v2itV5kzcvfiL3A0dkV6IqUUhmYl6xGKqU0YMf8EP6UnT+Ma5cDVmCNRx8DDwOTMT9cat0HfKW1Pl0plQd8DaC19iulvgBOBc4C4rFjTYSG/5x5Gq0PWtMoXff3ZHdfg7jTzO/WxzR9Loouxvqc+Br4Wim1FLgGWK613tXtQLv6zOlsy2nU4qSUSgb6AOuJn3ruiceAhcArzWxTe14fA39RSqVj/sPxv71btY6hlBqA+bm5HfP37zqt9fRG25xA/H9/z8e80nKA1jqslNpA/edKMGa7KCCX9duZtJzuHWdgXsbpp7XO01r3AX7B/I/5IOuyhg3zv+Z4uoS/Ky8DU7XWSxuVp1DfQeq3jda9CDwB/Bin/xVvBIYrpdzWZbijO7tCnWBf/Brs6ncLmj6XlcAA658nqG+p2icppYYqpQbHFI0FfgaylNlZCqWUUyk1Imabs63yQzEvsZZ3VH13YybgVUpdCHUdQR/BvNIyA7hSKeWw1qVb+1QCSR1f1ZaxPuvewbycXWsO9R33zsf6zLdawecBjwP/iePGiRZTSmUBzwJPaXMQ9enAVbX30iqlhiilfJjf30uUNfJCzPc3nqQA261geiTQr7Mr1J101RahznYu0PgG7/eBq4DvrXWjgNnAtI6t2p7TWudjfoA29hDwmlLqDzT6r19rvUApVUHzLQgdzvpjF9Rab1ZKvQMsAdYAP3VuzTrOPv412NXv1nmYoaDBuWita5RSVwOfK6WKMMPAviwReNK6NB8B1mJe4n8eeMIK5g7MFrzl1j6lSqk5QDLmbTZxQWutlVKnA/9QSt2F2VjyKXA7ZmvUEGCJUioMvIB57+bzwGdKqS1xet8pmAH72pjl64GXlVI3Y96KcXHMurcxb4Oa3GG1a38J1mV7J+bP5D+Bv1vrXsS85L3Qul9zB3Ca1vpzZXaana+UClH/fe90tZ+PmPcHf6KUmg8swvxHV3QQeUJUB1JKTQZu0lqf3MlV2euUUr0xLz0O01obnVydOkqpMcALWut46rXcobrb10Aplai1rrL+OD4NrNFaP9rZ9eoISqmvMT9z5nd2XYTYF3S3z8d4JZf1RbuzLtPNBe6Is2B6JWbnkDs7uy6dpZt+DS63WnaWY16qe65zqyOEiEfd9PMxLknLqRBCCCGEiBvSciqEEEIIIeKGhFMhhBBCdDtKqT5Kqa+sJz4tV0rdYJWnK6W+UEqtsaZpVvmxynwK21JrelTMsR5Q5lO+qjrrfLoSuawvhBBCiG5HmY/57aW1XqiUSsIcUP80zKERS7TWDyqlbgPStNa3KqXGAdusRwaPxHyqV451rImYw/Ot0Vondsb5dCUSToUQQgjR7SmlPsIcsuwpYLLWeosVYL/WWg9ttK0CioDeWutgTHmVhNO2k8v6QgghhOjWrAd1jMMcaaan1noLgDXt0cQuvwZ+ig2mov3IIPxCCCGE6LaUUomYD/P4nda6wmwUbXb7EcBfgeM6oHrdkrScCiGEEKJbsh6t+j7wptb6A6t4m3U5v/a+1O0x2+diPtnxQq31uo6ub3ch4VQIIYQQ3Y513+hLwM9a67/HrPoYuMiavwj4yNo+Ffgv8Eet9XcdWNVuRzpECSGEEKLbUUodCnwDLAVqn2Z4O+Z9p+8AfYFNwJla6xKl1J3AH4E1MYc5Tmu9XSn1EHAe0BsoBF7UWt/TISfSBUk4FUIIIYQQcUMu6wshhBBCiLgh4VQIIYQQQsQNCadCCCGEECJuSDgVQgghhBBxQ8KpEEIIIYSIGxJOhRDCopSKKqUWKaWWK6UWK6X+oJRq9nNSKZWnlDqvo+oohBBdnYRTIYSoV6O1Hqu1HgEcC0wB7t7NPnmY4xsKIYRoBzLOqRBCWJRSVVrrxJjlAcCPQCbQD/gn4LNWX6u1nqOU+gHYD/gFeA14AngQmAy4gae11s912EkIIcQ+TsKpEEJYGodTq6wUGAZUAobWOqCUGgy8pbUer5SaDNyktT7Z2v4KoIfW+n6llBv4DvMJM7905LkIIcS+ytHZFRBCiDinrKkTeEopNRaIAkN2sf1xwGil1BnWcgowGLNlVQghxG5IOBVCiF2wLutHge2Y955uA8Zg3q8f2NVuwHVa6+kdUkkhhOhipEOUEEI0QSmVBTwLPKXN+59SgC1aawO4ALBbm1YCSTG7TgeuUko5reMMUUr5EEII0SLSciqEEPUSlFKLMC/hRzA7QP3dWvcP4H2l1JnAV0C1Vb4EiCilFgOvAo9j9uBfqJRSwA7gtI6pvhBC7PukQ5QQQgghhIgbcllfCCGEEELEDQmnQgghhBAibkg4FUIIIYQQcUPCqRBCCCGEiBsSToUQQgghRNyQcCqEEEIIIeKGhFMhhBBCCBE3JJwKIYQQQoi48f8B6+UaNl18I7YAAAAASUVORK5CYII=\n",
- "text/plain": [
- "<Figure size 720x432 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "ax = deaths_pc_culm.loc['2020-03-15':].plot(figsize=(10, 6), title=\"Deaths per million, linear\")\n",
- "ax.set_xlabel(f\"Date\")\n",
- "for c in COUNTRIES_CORE:\n",
- " lvi = deaths_pc_culm[c].last_valid_index()\n",
- " ax.text(x = lvi + pd.Timedelta(days=1), y = deaths_pc_culm[c][lvi], s = f\"{c}: {deaths_pc_culm[c][lvi]*10**6:.0f}\")\n",
- "# plt.savefig('covid_deaths_total_linear.png') "
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 117,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
- " .dataframe tbody tr th:only-of-type {\n",
- " vertical-align: middle;\n",
- " }\n",
- "\n",
- " .dataframe tbody tr th {\n",
- " vertical-align: top;\n",
- " }\n",
- "\n",
- " .dataframe thead th {\n",
- " text-align: right;\n",
- " }\n",
- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th>geo_id</th>\n",
- " <th>BE</th>\n",
- " <th>DE</th>\n",
- " <th>ES</th>\n",
- " <th>FR</th>\n",
- " <th>IE</th>\n",
- " <th>IT</th>\n",
- " <th>UK</th>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>report_date</th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>2020-12-21</th>\n",
- " <td>0.000057</td>\n",
- " <td>0.000052</td>\n",
- " <td>0.000027</td>\n",
- " <td>0.000039</td>\n",
- " <td>0.000007</td>\n",
- " <td>0.000071</td>\n",
- " <td>0.000048</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2020-12-28</th>\n",
- " <td>0.000046</td>\n",
- " <td>0.000046</td>\n",
- " <td>0.000018</td>\n",
- " <td>0.000038</td>\n",
- " <td>0.000009</td>\n",
- " <td>0.000052</td>\n",
- " <td>0.000056</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2021-01-04</th>\n",
- " <td>0.000040</td>\n",
- " <td>0.000054</td>\n",
- " <td>0.000020</td>\n",
- " <td>0.000029</td>\n",
- " <td>0.000011</td>\n",
- " <td>0.000056</td>\n",
- " <td>0.000059</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2021-01-11</th>\n",
- " <td>0.000033</td>\n",
- " <td>0.000074</td>\n",
- " <td>0.000026</td>\n",
- " <td>0.000040</td>\n",
- " <td>0.000017</td>\n",
- " <td>0.000057</td>\n",
- " <td>0.000096</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2021-01-18</th>\n",
- " <td>0.000029</td>\n",
- " <td>0.000072</td>\n",
- " <td>0.000032</td>\n",
- " <td>0.000038</td>\n",
- " <td>0.000054</td>\n",
- " <td>0.000057</td>\n",
- " <td>0.000117</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- "geo_id BE DE ES FR IE IT \\\n",
- "report_date \n",
- "2020-12-21 0.000057 0.000052 0.000027 0.000039 0.000007 0.000071 \n",
- "2020-12-28 0.000046 0.000046 0.000018 0.000038 0.000009 0.000052 \n",
- "2021-01-04 0.000040 0.000054 0.000020 0.000029 0.000011 0.000056 \n",
- "2021-01-11 0.000033 0.000074 0.000026 0.000040 0.000017 0.000057 \n",
- "2021-01-18 0.000029 0.000072 0.000032 0.000038 0.000054 0.000057 \n",
- "\n",
- "geo_id UK \n",
- "report_date \n",
- "2020-12-21 0.000048 \n",
- "2020-12-28 0.000056 \n",
- "2021-01-04 0.000059 \n",
- "2021-01-11 0.000096 \n",
- "2021-01-18 0.000117 "
- ]
- },
- "execution_count": 117,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "deaths_pc = deaths_pc_data.pivot(columns='geo_id', values='deaths_weekly_pc')\n",
- "deaths_pc.tail()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 118,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 720x432 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "ax = deaths_pc.loc['2020-03-15':].plot(figsize=(10, 6), title=\"Deaths per million, linear\")\n",
- "ax.set_xlabel(f\"Date\")\n",
- "for c in COUNTRIES_CORE:\n",
- " lvi = deaths_pc[c].last_valid_index()\n",
- " ax.text(x = lvi + pd.Timedelta(days=1), y = deaths_pc[c][lvi], s = f\"{c}: {deaths_pc[c][lvi]*10**6:.0f}\")\n",
- "# plt.savefig('covid_deaths_total_linear.png') "
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 123,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "image/png": 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gmhDIddOGnARKIYQQQoizYESTBNcdJ/jGUYxQAs+cUjNITirIddOGjQRKIYQQQogzYMSSdLxzgvbXj2B0JPDMLqHwimpck8dOkEyRQCmEEEIIcRp0PEnwnZNmkAzGcc8spvCKatzVhbluWs5IoMwRu93OwoUL0Vpjt9t5+OGHueiii6itrWXu3LnMnj07fexXvvIV7rzzzhy2VgghhBA6btDx3gnaXjuK0R7DPb2Iwk9V464pynXTck4CZY54vd70LRxfeOEFvva1r/H6668DMH369AHd3lEIIYQQQ08nDDreP0n7q0dItsVwTS2k6PbZuKcV57ppeUMCZR5oa2ujpKQk180QQgghRAadMOjYcIr2V46QbI3iqi6k5NbZuKcXoZTKdfPyypgPlP/0zHZ2HG8b1GvOm1DIN66f3+cx4XCYJUuWEIlEOHHiBK+88kp63/79+1myZEn69fe+9z1Wrlw5qG0UQgghRM900iD0QR1tLx8m2RLFNaWAkr+YiXtmsQTJXoz5QJkrmV3e69at484772Tbtm2AdHkLIYQQuaCTmtDGOtpeOUyyKYJzUoDim2bgmVUiQbIfYz5Q9ldJHA4XXnghDQ0N1NfX57opQgghxJijDU1ocz3tLx0i0RjBOcFP8afn4ZlTKkFygMZ8oMwHu3btIplMUlZWRigUynVzhBBCiDFBG5rwlnraXj5Moj6Mc7yfsjvm4plXJkHyNEmgzJHUGEoArTU/+9nPsNvtQPcxlPfccw9f+tKXctBKIYQQYvTRhia8rYG2lw6TqAvhGOej9JNz8c4vQ9kkSJ4JCZQ5kkwme9xeU1NDOBwe5tYIIYQQo582NJEdjbS+eIjEqRCOSi+ln5iDd0G5BMmzJIFSCCGEEKOa1prIjibaXjpE/EQHjnIvpbfNxruoQoLkIJFAKYQQQohRSWtNZFcTbS8dJn4siL3MQ8mts/AtrkTZJUgOJgmUQgghhBhVtNZE9zTT+uIh4keD2Es9lHxsFr6lEiSHigRKIYQQQowKWmui+1poe/EQscPt2IvdlNw8E9+ySpTdluvmjWoSKIUQQggx4kX2W0Gytg17kYvim2bgXzYO5ZAgORwkUAohhBBixIoeaKX1xUPEDrZiK3RRfON0/OdWSZAcZhIoc8Rut7Nw4ULi8TgOh4NPf/rTfPnLX8Zms/Haa69x4403MnXq1PTx3/nOd7jiiity2GIhhBAif0RrW2l76TDRfS3YCpwUXT+NwHnjUU4JkrkggTJHMu/lXVdXxyc+8QlaW1v5p3/6JwBWrlzJ6tWrc9hCIYQQIv9ED7fR9uIhontbsAWcFF03jcAFVSinPddNG9MkUOaByspKHn30Uc4991y++c1v5ro5QgghRN6JHWmn7aVDRHY3Y/M7KLpmKv4Lx2NzSZDMBxIon3sATm4d3GtWLYRrHjytU6ZNm4ZhGNTV1QHw5ptvZt1+8YknnmD69OmD2UohhBAi78WOBc0gubMJm89B4dU1BC6cgM0tQTKfSKDMI1rr9HPp8hZCCDGWxY4HaXvpMJEdjSiPg8KPVBO4aAI2j0SXfCR/KqdZSRwqBw4cwG63U1lZyc6dO3PdHCGEECIn4ic7aHv5MOGtDSi3ncIrphBYMVGCZJ6TP508UF9fz+c//3nuv/9+lJIV/IUQQow98boQbS8dMoOky07BZZMpWDERm8+Z66aJAZBAmSPhcJglS5aklw264447+MpXvpLe33UM5f/+3/+bj33sYzloqRBCCDF04vUhsyK5uR7ltFFw6WQCKyZi90uQHEkkUOZIMpnsdd+ll15Ka2vrMLZGCCGEGF6JhjBtrxwmtLEO5bAR+NAkClZOxB5w5bpp4gxIoBRCCCHEsEk0hml75QihjafAZiOwYiIFl0ySIDnCSaAUQgghxJBLNEdof+UIHRtOgQ0CF06g4JLJ2AslSI4GEiiFEEIIMWQSLVHaXz1Mx/pTAPjPr6Lw0snYi9w5bpkYTBIohRBCCDHokq1R2l47Qsd7JwHwn1tFwaWTcRRLkByNJFAKIYQQYtAk22K0v36E4LsnwAD/8nEUfHgyjhJPrpsmhpAESiGEEEKctWR7jPbXjxJ85wQYBr5zxlF42RQcpRIkxwIJlDlit9tZuHBh+vVtt93GAw88wOrVq/nHf/xHDMMgHo/z13/913zuc5/LYUuFEEKI3iU74rS/cZSOt4+jEwa+pZVmkCz35rppYhhJoMwRr9fLpk2bsrbF43Huvfde3nvvPSZNmkQ0GqW2tjYn7RNCCCH6kuyIE3zzGMG3j6HjBr7FFRRcPgVnhS/XTRM5YBvIQUqpq5VSu5VS+5RSD/SwXymlHrL2b1FKndPfuUqpUqXUi0qpvdZjibW9TCn1qlIqqJR6uMv7LFNKbbWu9ZAaZfcpbG9vJ5FIUFZWBoDb7Wb27Nk5bpUQQgjRyQjFaf1zLSf/9X3aXz+CZ24Z4/5mGaW3zZEwOYb1W6FUStmB7wNXAkeB95VST2utd2Qcdg0w0/o6H/gBcH4/5z4AvKy1ftAKmg8AXwUiwD8CC6yvTD8A7gXeAdYAVwPPnckHT/n2e99mV9Ous7lEN3NK5/DV877a5zGpWy+mfO1rX+PjH/84N9xwA9XV1Vx++eWsWrWK22+/HZttQLlfCCGEGDJGJEFw7THa3zyGjibxLiyn8IopOMf5c900kQcG0uV9HrBPa30AQCn1W+BGIDNQ3gj8XGutgXeUUsVKqfFATR/n3ghcap3/M+A14Kta6w5grVJqRmYjrOsVaq3XWa9/DnyUswyUudJTlzfAj3/8Y7Zu3cpLL73Ed77zHV588UV++tOfDnv7hBBCCLCC5FvHzSAZSeCZX0bhFdW4xkuQFJ0GEignAkcyXh/FrEL2d8zEfs4dp7U+AaC1PqGUqhxAO4728B5npb9KYi4sXLiQhQsXcscddzB16lQJlEIIIYadEU0SfPs4wTePYoQSeOaWmkFyYiDXTRN5aCCBsqdxinqAxwzk3IEa8LWUUvdido0zZcqUM3y74RcMBlm/fj2XXnopAJs2baK6ujq3jRJCCDGmGLEkHetO0P7GEYyOBJ7ZJRReWY1rUkGumyby2EAC5VFgcsbrScDxAR7j6uPcU0qp8VZ1cjxQN4B2TOqnHQBorR8FHgVYvnz5mQbYIdV1DOXVV1/N17/+df71X/+Vz33uc3i9Xvx+v1QnhRBCDAsjlqTj3RO0v34UIxjHPauEwium4J5SmOumiRFgIIHyfWCmUmoqcAy4DfhEl2OeBu63xkieD7RaQbG+j3OfBj4NPGg9/qmvRljXa1dKXQC8C9wJfG8A7c9LyWSyx+1r1qwZ5pYIIYQYy3TcIPjuCdpfP4LRHsc9o5jCK6txV0uQFAPXb6DUWieUUvcDLwB24Cda6+1Kqc9b+x/BnHF9LbAPCAF393WudekHgceVUp8BDgO3pN5TKVULFAIupdRHgY9YM8O/APwU8GJOxhmRE3KEEEKIXNMJg473T9L26hGMthjuaUUU3l6Ne1pRrpsmRqABLWyutV6DGRoztz2S8VwD9w30XGt7I3B5L+fU9LJ9Pd2XEhJCCCHEAOmEQcf6U7S/ephkawxXTSGFH5+NZ3pxrpsmRjC5U44QQggxBuikQWhDHW2vHCbZEsU1pYCSj83CPaOYUXafEJEDEiiFEEKIUUwnNaGNp2h75QjJpgjOyQWU3DwT90wJkmLwSKAUQgghRiGd1IQ21dH+ymESjRGcEwMU3zUfz+wSCZJi0EmgFEIIIUYRbWjCW+ppe+kwiYYwzvF+yu6ch2duqQRJMWQkUOaI3W5n4cKF6dd//OMfqa2t5cYbb2TatGmEw2FWrVrFd77znRy2UgghxEgS2dtMyzP7SdSFcVb5KPvUXDzzylA2CZJiaEmgzJGe7uVdW1vLypUrWb16NeFwmKVLl3LTTTdx8cUX56aRQgghRoyO90/S/NReHGVeSj8xB++CcgmSYthIoMxTXq+XJUuWcOzYsVw3RQghRB7TWtP20mHaXz6Me1YJZZ+cg80tP97F8Brzf+NO/t//S3TnrkG9pnvuHKr+4R/6PCbz1otTp07lqaeeytrf3NzM3r17+dCHPjSobRNCCDF66KRB81P7CK0/hW/ZOEpunoGy23LdLDEGjflAmSs9dXkDvPnmmyxatIjdu3fzwAMPUFVVNfyNE0IIkfeMaJKmX+8ksruZgssmU3hltUy6ETkz5gNlf5XE4ZYaQ7lnzx5WrFjBTTfdlK5kCiGEEADJ9hgNP9tO/FiQ4ptmEDh/fK6bJMY4qYvnqVmzZvG1r32Nb3/727luihBCiDwSrw9R94PNJE6FKLtjnoRJkRckUOaxz3/+87zxxhscPHgw100RQgiRB6KH26j/wWZ0NEH5Xy7EO68s100SApAu75wJBoPdtl166aVceuml6dder1dmeQshhAAgvKORpt/swlboovzuBTjLvblukhBpEiiFEEKIPBd89wQtf9yHc2KA8rvmYw+4ct0kIbJIoBRCCCHylNaatj8fov3VI3hml1D6ybnYXPZcN0uIbiRQCiGEEHlIJw2an9hL6IM6/OdWUfzRGSi7LAsk8pMESiGEECLPGNEEjb/cSXRvC4VXTKHg8imyxqTIaxIohRBCiDySbI/R8Ng24ic7KPmLmfjPlRtciPwngVIIIYTIE/H6EA0/2YYRjFP26fl4Z5fmuklCDIisQ5kjgUAAgNraWrxeL0uWLEl//fznP89x64QQQgy3aG2rucZk3KDic4skTIoRRSqUeWD69Ok93tdbCCHE2BDe1kDjb3fjKHZTfvd8HGWyxqQYWSRQCiGEEDkUXHeclqf345pUQNld87H7nblukhCnbcwHyjcf30PDke53rTkb5ZMDrLx11oCP379/P0uWLEm//t73vsfKlSsHtU1CCCHyizY0bS/U0v76UTxzSym9fY6sMSlGrDEfKPOBdHkLIcTYohMGzX/YQ2hTPf7zqyi+QdaYFCPbmA+Up1NJFEIIIc6WEbHWmNzXQuFV1RRcOlnWmBQj3pgPlEIIIcRwSbZFafjJduJ1IUpumYV/2bhcN0mIQSGBMg90HUN5zz338KUvfSl3DRJCCDHo4qc6aHhsO0YoQfld8/HMKsl1k4QYNBIocyQYNCcC1dTUEA6Hc9waIYQQQyl6sJWGn+1AORUVn1uEa2Ig100SYlBJoBRCCCGGUGhrPU2/242jxEP53QtwlHpy3SQhBp0ESiGEEGKItK89RuuzB3BNKaTsznmyxqQYtSRQCiGEEINMG5rW5w4SfPMYnvlllN02G+WUNSbF6CWBUgghhBhEOmHQ9Ps9hDfX479wPMXXT0fZZFkgMbpJoBRCCCEGiRFO0PiLHUQPtFJ0TQ2BD02SNSbFmCCBUgghhBgEidYoDT/ZRqIhTOnHZ+NbWpnrJgkxbCRQ5kggEGDdunXccccdABw+fJiioiKKioooLy/npZdeynELhRBCDFT8ZAcNj23DiCQpv3s+nhmyxqQYWyRQ5tDChQvT9/C+6667WLVqFR/72Mdy2yghhBCnJbK/hcZf7EC57OYakxNkjUkx9kigFEIIIc5QaHMdTY/vwVHmpfye+TiKZY1JMTaN+UD56k8fpe7QgUG9ZmX1ND58172Dek0hhBD5Q2tN8M1jtK45iKumkPI752HzyRqTYuwa84FSCCGEOB3a0LQ+e4DgW8fxLiyn9NbZKKct180SIqfGfKCUSqIQQoiB0nGDpsd3E97aQODiCRRdN03WmBQCCZRCCCHEgBihOA0/30Gsto2i66ZSsHJSrpskRN6QQCmEEEL0I9ESMdeYbIxQevtsfItljUkhMkmgzJFgMJj1+qc//WluGiKEEKJPseNBGn66HR1LUn7PAjzTi3PdJCHyjgRKIYQQoheRfc00/mInNo+dis8vxlnlz3WThMhLA5qWppS6Wim1Wym1Tyn1QA/7lVLqIWv/FqXUOf2dq5QqVUq9qJTaaz2WZOz7mnX8bqXUVRnbb1dKbbXe43mlVPmZf3QhhBCid6GNdTQ8th17sZuKLy6RMClEH/oNlEopO/B94BpgHnC7Umpel8OuAWZaX/cCPxjAuQ8AL2utZwIvW6+x9t8GzAeuBv5bKWVXSjmA7wIf1lovArYA95/h5xZCCCF6pLWm7bUjNP1uN+7qQio/vxhHkTvXzRIirw2kQnkesE9rfUBrHQN+C9zY5ZgbgZ9r0ztAsVJqfD/n3gj8zHr+M+CjGdt/q7WOaq0PAvus6yjry6+UUkAhcPy0P7EQQgjRC21oWp7eT9vztXgXV1B+zwJsXhkdJkR/BhIoJwJHMl4ftbYN5Ji+zh2ntT4BYD2mpsz1eI7WOg58AdiKGSTnAf8zgPYLIYQQ/dLxJI2/2knHuhMEPjSR0o/PRjlkwXIhBmIg/1J6WrFVD/CYgZw7oPdTSjkxA+VSYAJml/fXeryAUvcqpdYrpdbX19f383ZCCCHGumRHnPofbyOyo5GiVdMovlYWLBfidAwkUB4FJme8nkT3rubejunr3FNWtzjWY10/11oCoLXer7XWwOPART01WGv9qNZ6udZ6eUVFxQA+4vCrra1lwYIFWdu++c1v8p3vfIe77rqLP/zhDwA0NTWxdOlSHnvssVw0UwghRr1EU4T6RzYTO9ZO6SfmULCiayecEKI/AwmU7wMzlVJTlVIuzAkzT3c55mngTmu29wVAq9WN3de5TwOftp5/GvhTxvbblFJupdRUzIk+7wHHgHlKqVRCvBLYeZqfd0RpbW3lqquu4t577+Xuu+/OdXOEEGLUiR0LUveDTSSDcSo+sxDfwvwsQgiR7/odaay1Tiil7gdeAOzAT7TW25VSn7f2PwKsAa7FnEATAu7u61zr0g8CjyulPgMcBm6xztmulHoc2AEkgPu01knguFLqn4A3lFJx4BBw1yB8D/JSMBjkmmuu4ROf+ARf+MIXct0cIYQYdSJ7mmn85U5sPgcVf7kAZ6Uv100SYsQa0NQ1rfUazNCYue2RjOcauG+g51rbG4HLeznnX4B/6WH7I8Aj3c84cy3P7Cd2vGMwL4lrgp/i66ef1TW+8pWv8NnPfpa/+Zu/GaRWCSGESOnYcIrmJ/biHOej/O752AtlWSAhzoZMX8sRc+Wj3rdfdtll/OlPf6Kurq7H44QQQpw+rTVtrxym+fd7cE8rouJziyRMCjEIxvziWmdbSTxTZWVlNDc3Z21rampi6tSpANx2222sWLGCa6+9lldffZWCgoJcNFMIIUYNndS0PL2PjndP4ltaSclfzJRlgYQYJPIvKUcCgQDjx4/n5ZdfBsww+fzzz7NixYr0MV/+8pe5/PLLuemmm4jFYrlqqhBCjHhGLEnjL3fQ8e5JCi6dRMmtsyRMCjGI5F9TDv385z/nW9/6FkuWLOGyyy7jG9/4BtOnZ1dMv/3tbzN58mTuuOMODMPIUUuFEGLkSgZjNPxoK5FdTRTfOJ2iq6f2OuxICHFmxnyXdy7NmzePV199tdv2n/70p1mvZQ1KIYQ4M4nGMA2PbSfREqXsk3PxLijPdZOEGJUkUAohhBiVYkfbafjpdjA0FX+5EHd1Ya6bJMSoJYFSCCHEqBPe3UTTr3Zi8zspv2cBzgpZY1KIoSSBUgghxKjS8f5Jmp/ai7PKT/ndC7AXuHLdJCFGvTEbKLXWI3pQtrmWvBBCiBStNe0vH6btpcO4Z5VQ9sk52Nxj9secEMNqTM7y9ng8NDY2jthQprWmsbERj8eT66YIIURe0ElNy5P7aHvpML5zKin/9DwJk2LEUkollVKblFLblVKblVJfUUrZrH2XKqVarf2pryv6ud7vMo6tVUptsrZfqZTaoJTaaj1edqZtHpP/2iZNmsTRo0epr6/PdVPOmMfjYdKkSbluhhBC5JwRS9L0q51EdjdTcNlkCq+sHtE9UEIAYa31EgClVCXwa6AI+Ia1/02t9aqBXkxr/fHUc6XUvwOt1ssG4Hqt9XGl1ALgBWDimTR41AfKxqOH+d0/PYDbF8DjD+D2+9OPbp8fTyBgPvoDuK3tTrdH/jMSQogRIBmM0fDT7cSPBSm+aQaB88fnukm5oTUcfB3W/iec2AKuALj8GV89vHYHetjXw3O7C+RnYs5oreuUUvcC7yulvnk211JmuLkVuMy69saM3dsBj1LKrbWOnu61R32gtDucALTVnaQu1EG0I0gsHO7zHJvdnhU23VbY9Pj8uNMB1N9lW8Da5k+/pxBCiKGTaAhT/9g2jLYYZXfMwzuvLNdNGn6GAbvXwJv/Dsc/gEAVzLsBEjGIBSHWYX6FmrJfxzsG/h42Ry9hs7cg2kdIdReYjw6PhNTToLU+YHV5V1qbVqa6rS1/obXer5RaA3xWa328l0utBE5prff2sO8vgI1nEiZhDATK4qrxfPwbD2ZtM5JJouEQ0WCQaKiDSDBINBQk0mEGzs5t5utIR5D2hnoiHUGiHUGSiUSf7+lwu82gmQqiVvjsXhH1m0E00LnP5fGibGNyaKsQQgxY9HAbjT/bDkD5Xy7EPWWMrTGZTMC2J2Dtf0D9LiipgVX/BUs+AQ53/+cbBsRDVsAM9vLY1/MOaD9uPkYzzmOAcxOUbWBV1PTzgv6Pc/pgdP/8zEzgPXZ5a62v7ecatwO/6XZhpeYD3wY+cqaNG/WBsic2ux1voABvoOCMzk/EYla47DAfQ0GiwSCRUEfntnQ4DRJsbqLx6GFzX6jD7JrojVK4fT4zcPoCeAJm6HR3qYj2GFj9fpyuAfxHIoQQI1h4ZyNNv96FrcBlrjFZ7s11k4ZPPAKbfglvfRdaDkPlPLj5xzD/JrCfxo90m83s8nYHgHGD0zatIR4+jVAa7B5SO+qhubZzfzQIOjnwNjh7CJo9du0PoKs/9dxmH5zvz1lQSk0DkkAdMPcMr+EAbgaWddk+CXgKuFNrvf9M2zgmA+XZcrhcBFylBEpKT/tcbRjEIuGM4BnsDKChjuygalVLm44fTe9LRPuuRNudznQ3fVZltNv40Z7HlNrsuf+HI4QQvQm+e4KWP+7DOTFA+afnj501JiNtsP4n8M5/Q/AUTDoXrvlXmHlV/lTllAKXz/yiYnCuqTUkY9lhNNo1iPZRRY0FIdwCrceyA2wyNvA2OLxn3rXf23H2gQ+NU0pVAI8AD2ut9VnM8bgC2KW1Pppx7WLgWeBrWuu3zvTCIIFy2CmbzQx8Pj+FFZX9n9BFMhEnGgqlu+k7K6NWl32oI3tbexutp06ku/CNZN+/6bm83ozxoBmBs2tI7WFMqdPjlclMQoghobWm7cVDtL9yBM/sEko/MRebewz8AtzRCO8+Au/9ECKtMO3D8Bf/AzUrxsYYRKXMLnyHG3ynX8TpVSJmjiPtK4j2F16DddmvE33Pz8hid/UeUE1ea4ykE0gAvwD+I+MKXcdQfktr/Yd+xlDeRvfu7vuBGcA/KqX+0dr2Ea113cA/jEmN1LUYB2r58uV6/fr1uW5GXtBaE49G0t3xkW7jRTu6d+VnbIuFQ31eX9lsnaHTl1397CmUdp1tL5OZhBA90UmD5if3EdpwCt/ycZTcNBNlH+Vhqu04vP0wbHjMHOs4ZxWs/ApMXNb/uSI3jGQf3fn9VFFTz6NB1Bff2qC1Xp7rj3O6pEI5hiilcHm8uDxeCsrKT/v89GSmzECaWRntyJjYZO0PNjaku+uT8Xif13e43Fnd9IUVlSy+4homzp0vlU8hxigjmqDxV7uI7mmm8IopFFw+ZXT/f9C4H976L9j0G9AGLLoVLv4yVM7JdctEf2x28BSaX2fjiyPz77cESjFggzmZyZxVn10BzZxxH+0IUrtlI7veep2q6TNZfv3NzDzvIhnjKcQYkmy31pg8EaTkL2biP7cq100aOie3mmtIbn8KbE5Y9mm46EtQUp3rlgkxIBIoxbA53clM8ViUHa+/woZnn2L1f32bwopxLLvuRhZ8+EpcnjE0q1OIMSheH6LhJ9swgnHK7pyPd84gjp/LJ4ffNdeQ3PuCuTTORV+CC74IBYM081qIYSJjKEXe04bB/g3vsX71kxzbtQO338/iK69l6dXXn9FMeyFEfosestaYVIryu+bjmnxmvSJ5S2vY/zK8+Z9waC14S80Qed5nwVuS69aJHFNKjcgxlBIoxYhyfM8uNqx+ir3vrcNmtzFnxaUsX3UT5ZOlW0iI0SC8vYHG3+zGUeym/O75OMpGUW+EYcCuZ8yK5InNUDABLv4SnHOnOcNXCCRQ5i0JlKNTy8kTbFjzJ7a99iKJaJSpS5ax/PqbmTx/0egesC/EKBZcd5yWp/fjmlRA2afnYQ+MkjUmk3HY8rg5RrJxL5ROhxVfhkW3gWOUfEYxaCRQ5ikJlKNbuL2NzX9ew8YXVhNqbaGyZjrLr7+JWReswO6QIcJCjARaa9peqKX9taN45pZSevscbK5RMAEvHoYPfgFvPwStR2DcQnPpn3k35sXdV0R+kkCZpyRQjg2JWIwdb77KhtVP0XT8KAVlFZxz7Q0suvwqXF5frpsnhOiFThg0P7GX0MY6/OdXUXzDjJG/xmSkFd7/MbzzA/NWgpMvgJV/CzOvHBuLkYuzIoEyT0mgHFu0YXBg43rWr36Sozu24fb5WXTF1Sy95noKSk9/7U0hxNAxIgkaf7mT6L4WCj9STcGHJ4/sISvBenj3B/DejyDaBjOuMINk9UW5bpkYQSRQ5ikJlGPXyX17WL/6Kfa88xbKpphz8SUsX3UTFdVTc900Ica8ZFuUhse2Ez8VouTmmfiXj+BlclqOwNvfgw9+DomI2aW94m9gwpJct0yMQBIo85QEStFad4oP1vyJra/8mXg0QvWipSy//maqFy4Z2dUQIUaoeJ21xmQoQdmn5uKZNUKXymnYC2v/C7b81ny96DZzsk35zFy2SoxwEijzlARKkRIJBtn80nNsfP4ZOpqbqJhSw/Lrb2b2RSvlPuJCDJNobSsNP9uBcijK71qAa2Ig1006fcc3wdr/gB1Pg8NjLvtz0V9B8eRct0yMAhIo85QEStFVIh5n11uvs/6ZJ2k8ephAaRnnXHMDi664GrdP1oITYqiEtjbQ9LtdOEo8lN+9AEepJ9dNOj2H3jbXkNz3ErgL4by/hPO/AIGKXLdMjCISKPOUBErRG601tZs/YP0zT3J422ZcXi8LL7uKc669gcLyylw3T4hRpf2tY7SuPoBrSiFld87D7h8hvQJaw94XzSB55B3wlcOF98G5nwFPUa5bJ0YhCZR5SgKlGIhTB/ezYfVT7Hr7DQBmX7iS5atuYty0GTlumRAjmzY0rc/XEnzjKJ55ZZTdPhvlHAFrMBpJ2PFH8/aIp7ZC0WTzPttLPwUuWYpMDB0JlHlKAqU4HW0NdXzw3DNsffl5YuEwUxYsYvmqm6lZskwm8AhxmnTCoOn3ewhvrsd/4XiKr5+OsuX5v6NEzJxks/a/oGk/lM00FyNfeAvYR0hVVYxoEijzlARKcSaioQ62vPwCH6z5E8GmRsomTWH5qpuYs+JSHE75oSJEf4xIgsaf7yB6oJXCq2souGRSfv9SFuswl/15+3vQdgzGLzbXkJyzSu5qI4aVBMo8JYFSnI1kIs7udWtZ/8yT1B86iL+4hKVXX8/iK6/FExiBs1OFGAaJ1iiNj20jXh+m5GOz8C/N4zHJ4WZ478fwzn9DuAmqV5gVyemXyV1tRE5IoMxTEijFYNBac3jrZtavfpLazR/gdHtYcNmVLLv2Rooqq3LdPCHyRvxkBw2PbcOIJCm7Yy6eGXm6xmT7KXjn+/D+TyDWDjOvMoPklAty3TIxxkmgzFMSKMVgqz90kA3P/pGda19HGwYzL7iYc1fdRNWMWblumhA5FT3QQsPPd6Ccdsrvno9rQh5W8ZsPwdsPwQe/ACMO828y72pTtTDXLRMCkECZtyRQiqHS3tTAxudXs+XF54iGOpg0dwHLr7+JaUvPRdlsuW6eEMMqtLmepsd34yjzUH7PAhzFebbGZN0uWPufsPX3oGyw5Ha4+MtQNj3XLRMiiwTKPCWBUgy1WDjE1ldeZMOaP9LeUE/JhEksX/VR5q28DIfLlevmCTHk2t88SuuzB3HVFFJ+5zxsvjyauHZsA7z5H7BrNTh9sOxucx3Joom5bpkQPZJAmackUIrhYiST7HlnLe8/8yR1B/fjKypmyVXXsfjKa/EVygLIYvTRhqb12QME3zqOd2E5pbfORjnzoDqvNdS+aS5GfuA1cwHy8z8P530O/GW5bp0QfZJAmackUIrhprXmyPatrF/9JAc3rsfhcjP/0itYdt2NlFRNyHXzhBgUOm7Q9PvdhLc0ELh4AkXXTcv9GpOGAXueN++zffR98FfCRfebVUlPYW7bJsQASaDMUxIoRS41HDlkTuB581WSySQzz72Q5dffxIRZc3PdNCHOmBGK0/CLHcQOtlF07VQCKyfmdo3JZAK2P2UGybodUDwFLv5rWPIpcObZWE4h+iGBMk9JoBT5INjcxKYXVrP5z2uIdASZMGsuy2+4menLzsMmiyaLESTREqHhJ9tJNIYpvXUWvsU5XGMyEYVNv4a3/guaa6FiDqz4Ciy4We5qI0asUR0olVJXA98F7MCPtdYPdtmvrP3XAiHgLq31B32dq5QqBX4H1AC1wK1a62Zr39eAzwBJ4Eta6xes7S7gYeBSwAC+rrV+oq+2S6AU+SQWCbPt1Zf4YM0faa07Rcn4CSy77qPM+9BlON1SSRH5LXbCXGNSx5KU3TEPz/Ti3DQkGoQNj8HbD0PwJEw4x7yrzexrQVZYECPcqA2USik7sAe4EjgKvA/crrXekXHMtcBfYQbK84Hvaq3P7+tcpdS/Ak1a6weVUg8AJVrrryql5gG/Ac4DJgAvAbO01kml1D8Bdq31/1ZK2YBSrXVDX+2XQCnykZFMsve9dax/5glO7t+Lt6CQJVddx5KPXIevqDjXzROim8i+Fhp/sQOb2075PQtwVvmHvxGhJnj3h/DeD8073Ez9kBkkp14id7URo8ZIDZSOARxzHrBPa30AQCn1W+BGYEfGMTcCP9dmOn1HKVWslBqPWX3s7dwbMSuNAD8DXgO+am3/rdY6ChxUSu2z2rAOuAeYA6C1NoA+w6QQ+cpmtzP7whXMuuBiju3azvrVT7HuD7/h/T89wbxLLmPZdR+ldMKkXDdTCABCm+po+v0eHOVec43JIvfwNqDtBKx7GNY/BvEOmH2deVebSSPuZ64Qo9ZAAuVE4EjG66OYVcj+jpnYz7njtNYnALTWJ5RSqYE4E4F3ul5LKVVsvf5npdSlwH7gfq31qQF8BiHyklKKSXMXMGnuApqOH2XD6j+y/fWX2fLyC0xfdj7Lr7+JibPn5XbCgxiztNYE3zhK63O1uKcVUXbHPGzegfzYGCRNB+Gt78KmX4GRgAUfM+9qM27e8LVBCDEgA/mfoaefZF37yXs7ZiDnDvT9HMAk4C2t9VeUUl8BvgPc0e0CSt0L3AswZcqUft5OiPxQOmESV957Pxd//FNsfOFZNv35Wfavf4fxM2az/PqbmHHehTKBRwwbbWhaVx8g+PZxvIusNSYdwzQ+8dR28642254AmwOWfgou+hKUTh2e9xdCnLaBBMqjwOSM15OA4wM8xtXHuaeUUuOt6uR4oK6fazViTvh5ytr+e8yJO91orR8FHgVzDGU/n0+IvOIrKubiWz/JeTf+Bdtff4UNzz7FM//5IEWV41h23UdZcOmVOD0ygUcMHR1P0vTb3YS3NxJYOZGia6YOzxqTR943FyPf8xw4/eYdbS64DwrHD/17C5FHlFJB4ELgF9amKUCr9dWgtb6il/NeA8YDYWvTR7TWdUqp/wQ+bG3zAZVa6+JBbfMAJuU4MCfWXA4cw5xY8wmt9faMY64D7qdzUs5DWuvz+jpXKfVvQGPGpJxSrfXfK6XmA7+mc1LOy8BMa1LOb4FHtdavKKXuAq7TWt/SV/tlUo4Y6Qwjyf7177L+mac4vmcnHn+AxR+5jqVXr8JfXJLr5okRSscNjFAcI5wg2RHHCCXM16EEkR2NxI62U3TdNApWDPEtCrU272bz5r+bd7fxllh3tbkXfKVD+95C5CGl1AZgjtY6kLHtp8BqrfUf+jn3NeDvtNa9Bh+l1F8BS7XW9wxOi039Vii11gml1P3AC5hL//zECoSft/Y/AqzBDJP7MKuId/d1rnXpB4HHlVKfAQ4Dt1jnbFdKPY45cScB3Ke1TlrnfBX4hVLqv4D61PsIMZrZbHZmnncRM8+7iGO7d7Jh9VO8+8fHWf/ME8xdeRnLV32UskkytGOs0obGCCfMLysQGlkBMW7ty96u40av17T5HJTePgffooqha7hhwO5nzSB5fCMEquAj/wLL7gJ3oN/ThRBn7HbgG4N90VG/sHn17IX6H3/8J1wOG0576ktlPXfZbTgdNhw2c3vnseY+R8Y5LrsNW65vLybGvOaTx9nw7J/Y/tpLJGJRpp1zLstX3cSkeQtlAs8IpbW2qoYZQTD1vCORHQwz94UTvY9MV2Y4tPmc5pfX0fnan9ru6Nznd2L3OVDOIRyrm4ybYyPf/A9o2A0lNeZEm8W3g2OYZ48LkYf6q1AqpSZgrut9bQ/nvgaUYa7j/QTwLZ0R9JRS1ZgTnydlFOsGp92jPVC6x8/U4z/9X4N6TbtNmQHTZgbRzLDptNtwZL52qF6CrA2X9dqR8dzp6Nzn6Bp6U/ttKn1c19CbdZzVRgnAo1eorZXNL65h4/OrCbe1Mm7aDJavuolZF6zAZpcJPLmikxojHO8e/np5TFqPJHr//1i57Fb46xIE0wGxMzDare3K48j9/bVT4mHY+Et46yFoPQyV882lf+Z9FOzDOHNciDx3ll3eE7XWx5RSBZiB8pda659n7P8qZpj8q0Fv92gPlOcsW65fe2sd8YRBPKmJJw1iSYN40iCR1ObzLvsSXY5L7zcM4glzX4/XSWrr2OzrmK87n3ce33ntWLL37qezlQ7AXUJvZ/jsOfS6Ml73F3pdmWE5FXozgm3P79tDFVgC8BmJx6LsfPNV1q/+I83Hj1JYUck519zIwsuuxOX15bp5I5bWGh1LdlYI+wmE6e7kSB+/+NtUl2DYNRx2BsLM/cM2w3qwRdpg/U9g3fehow4mnQsr/w5mXSWLkQvRg7MJlF2ucxewXGt9f8a2jZhDCd8evBabRv2vhTYFhZ78v6er1pqkodPhMp4OnObrhNH5PJ71pbsd2y20WsfFEp3XyQrMGdeIxA3aIwliVjBOGGZIzgzEqXOGSmroQaHXwfKaUi6aXsaF08qYWu6X7txeOF1uFl1+NQs//BEObHyf9c88xWs//xHr/vBrFl15DedcfT2B0rJcNzOndMLoHGeYGRDDViDs6CEwhhPQx9915bablUEr/DnKvdh9TpTXgd3nsPZlB0blto+Nv8cdjfDuD+C9RyHSCtM+DCt/AjUrxmyQ1FqD1uYvKtaX+drI3mdoNBptmIUGbRjdzu08D/PR0IC2Hk/DAP8oBv53dmDHDfxyA/+7ogb+YQb5rQd6vaH9e29NhC7WWjcopZzAKsy7Dab2zwZKMG8UM+hGfaAcKZRSOOwKhx285H9XpdbaDJv9BlmDWEKbQdZ63msgtkJv6nVde5R3DjTy7JYTAIwrdHPhtDIuml7OhdPLmFwqlbeulM3G9GXnM33Z+ZzYt5v1q//I+qefZMPqPzJ3xSUsW3UTFVNqct3Ms6K1RkeS6eCX7K9LucMMhjraR9XQrrKCn6PCi91X2EO3csZ4Q58DZR+hVcMuEvE4waZGgo0NtDfW09HSjGEYPQYZ83VnkOm2L9KGPr4JfWoH2khCyXJ01WJ0tAxe3IzWG3s8tzNMGeaQUOu90/utgNVfezKDlUaDkR28SB3X63U6Q132dbq0J/0845qZ75k6N2O/EIOhjzGUbuAFK0zaMcPkjzL23455J8IhqQiN+i5vWTZoZNNac7Chg3UHGnl7fyPvHmikIRgDYGKxlwut6uWF08uYUOzNcWvzU2vdSTas+RNbX/kziWiUmsXnsHzVzUxZuDjnlbLU0jXJbhNR+giI4Tj08bM5VR1UPnOCSY/jDbs8Kpct59+LoZKIxWhvajDDYlMj7Q31tDc1EmxqoL3R/Aq3tZ7eRZVCZX3ZAI3SCTASKDTK7kQ5PWB3Zh1L5jkKlLKhUo82BXQ5zmYz6z82Wx/X6dKe1HWsc+h2Xud7drah+3sqm826Ttf3VKB6aY/N/CVD9dneHt4z6/zMzzCA9qbeI/W9Gujf5QH+/B9wShhonhjs9z2daw5y5hnw9Qb8mTWLLrsq3eWtlKoBdgK7Mw77j8xxkV1ZXd3/hrlcI8DDWusfZ+wvtK75VGZ3+NmSQClGFK01e+uCrNvfyLr9jbxzsJGWUByAmjIfF04v4wIrYFYWyOLfmcLBdra8+Bwbn3+GjpZmKqqnsvz6m5l94UrsjsHprNBaYwTjxE91kGyN9TxjOSMw9rV0jXLarEqgFfz8PQRCb5ft3jyahDIM4tEIwaZG2hsbaW+st56bVcZ2q+IYbm/rdp7HHyBQVk5BWTkFpeUEysooKC2noKyCQFkZgZJSbA4HKiPQZAWZTCe2mHe12fFHsDnhnDvhor+Ckurh+SYIMcpkjqG0AuVqrfWC0zj/LrqMneyy/7tABdAkgfI0SKAc3QxDs/NkmxkuDzTy7oEm2qMJAGZUBtLVywumlVHqd+W4tfkhEY+zc+2rrH/mKZqOHSFQVs4519zAosuvwu3zD/g6yY44iVMh4qc6iFuPiVMhjFAi+0BFdjDs73E4lq4ZAeKRCO1WFTGYriw2ZITGBiLB9m7neQoKKSgto6CsnEBpGQVlFRnPzQA5KHdaOvyOuYbk3j+DqwDO/Qxc8EUoGHf21xZiDBvKQKmUWgb8L+D53o45UxIoxaiSSBpsP97GugNmBfP92iZCMXPs3JyqgnQX+flTyyjy5f9kraGkDYODmzew/pmnOLJ9Cy6vl4WXX80519xAYXnngtZGJJEVGFPPjfZ4+hjltuMc58NZ5cdR6cM5zoejxJN/S9fkiVgkbAZFq7Jodkk3ZlUWIx3Bbud5CwqzKovZobGMQGkZTvcQVua1hv0vm2tIHnoLfGVwwRfg3L8Eb/HQva8QY0gPgbJrl/dfaa3fVEr9GHik611xrED5/zBvALMH+But9RFljk15BbgD8w6GEihPhwTKsS2eNNhytJV1+xtYd6CR9bXNRBMGSsH8CYXmBJ9pZZw7tZSAe+zOUTt1YB8fPP0nTm7cTZGrnKnVi6ksmYqtDZKt0fRxymnDMc6Hc5zfDJDjfDiq/NgLXaN2DOLpioVD6Qpie1MD7Q0N5njF9KSXBqKhjm7n+YqK01XEgBUWzeBoBkZ/aSlOV44W/jaSsPMZsyJ5cgsUToSLvgTn3AGugVe1hRD9G4QKZRkQ1FpHrbsa3qq1vsy6c6FPa/2v/XWLn1G7JVCKsSSaSLLxcIs5BvNAI5sOtxBLGthtioUTi8wliqaXsby6FK9rdHa56rhBvD7Upbs6RLI5kh4Fn9QJ2mKNJPxJSudVU7FkBq6qAPZi95itNmqt02Ex2NhAW6MVFLuMX4yFQ93O9RUVZ1QRM8NiOYGycgIlpThceTgkIxGDrY+bYyQb90HpdPOuNos+Do48bK8Qo8DZBsou17JjjpUsUkr9CliJOa0xALiA/9ZaPzAo7ZZAKcaycCzJB4ebeXt/A+v2N7LlaCsJQ+O0K5ZMLrbGYJazdEoxnhE2pk8nDRINYTMwnuzsrk40hjunT9oUjgqvVW00q46OcT4SniRbX3mBjc89TbC5ifLJ1Sy//mbmXPwh7I7RN1RAa0001JEOi+0ZM6AzxyzGI+HsE5XCX1xCQakVFMs7Q2I6MJaWjrzvWSwEG39h3tWm7SiMW2jd1eZGsI2sfwdCjBTJpMG6J/az8uOzzrZCOV5rfcJ6fhPwVa31BV2OuQupUJ4eCZTidHREE7xf25Qeg7ntWCuGBpfDxrIpJVw4vYyLppexaFIxrjy5c4k2NInGcNb4xvipEImGcOei3AocZd50YHRWWeGxzNvnHViSiTi73nqD9aufouFwLYGSUpZecwOLrrgajz/Q63n5RGtNpCPYGRQbsiuLqa7oeDSSfaJSBIpL0jOf02MWM8Yv+ktKB22GfM7EQuY9tet2dn4dWw/hZphyIaz8W5hxxZhdjFyI4RANJ3jh0a0c2dnM/T+8vL8xlD/RWj/UxxjK/wfcACSAJuALWutdXY65CwmUp0cCpTgbreE47x/sDJg7TphLsHiddpbXlKQn+SycWIRjiBe51oYm2RIlfrKDeF2IxEmru7o+lHUPaHupJz2+0TnObwbICh/Keebt01pzaMtG1q9+ikNbNuL0eFl42Uc455obKKrM3axerTWRYHtGNbGhy/NG2psaSESjWecpZcNfWpoen9i1KzpQWo6/uGTkh8VMiRg07s0OjvU7oekg6ZK13Q3ls2DcfFj2aai+KKdNFmIsaG+K8Oz3N9N8IsSln5rNvIsnbtBaL891u06XBEohTkNzR4x3Dzamx2DuOWXOxA24HZw3tTS9TNHc8YXYz3CsodaaZGuMRMb4xvipDhJ1IXSsc91Ge5ELR3pyjFVxrPRhcw9tl2Rd7QE2rH6KXW+/gdaaWResYPmqm6iaPnNQ30drTbi9rTMcNjR0LtDd2JCeGZ2Ix7LOUzabObkl1fXcQ2j0F5dgs4/SrttkApoPZgTHHVC/yxwDaVhLOik7lM2AyrlQOQ8q55iPJVPBPopCtBB5rv5wO6u/v5lENMnVn1vI5LmlKKUkUOYjCZRiKNVbt4dcd6CRd/Y3cqDBnL1b5HVy/tRSs4I5vYxZlQXYugTMzEXA4ydDJOrMsY7xU6Gs2wTaCpxZ4xtTz22e3P7gb29s4IPnnmbLS88TC4eYPG8hy6+/malLlqXvFtIbbRjpsNgZDrODYntTA8l4POs8m91OoLTrxJayrDGLvuJibGNhnJ9hQOthqNtlhsZUxbF+DyRTFVkFJTXZobFyrhkmHTmaMS6EAKB2awMv/Hg7Hr+DVfctpmyiOYxIAmWekkA5QhlJaD8JgUqwj5wJDSdbI6w70JCuYB5pMidxVPtcXF1VxHkBH9OVHV9brNsi4Dafo8uSPGZ3td2f358/Ggqx9ZUX+GDN07Q31lM6cTLLV91ERfXULmMWO7uig02NJBPZC6Db7I6sKmLm+ooFpeUUlFfgKyzqN6yOOlqb/xYyQ2PdTjNIxjOWHyqcZFUcM4Jj+WxwyT3vhcg3W187ypu/20P55AKuu28R/qLOX/AkUOYpCZQjiNZwYhNs+T1s+wMET5ldc4UTzdu4FVd3eZwCgSrIo4CRtQj4yRDtx9qJnwrhinRWHINojto00WIXBZMKqJ5TxsQZpdgLRvZajslEgj3vrOX9Z56kvvZA1j67w5E1mSW7K9oMj2MyLHbV0ZA9vjHVZR3JuNe2v9IKjnM7u6wrZoOnKHftFkIMiDY0bz+5j00vHaFmUTlX3jMPV5feJgmUeUoC5QjQdAC2/gG2PG5OGrA5YdZVMPUSM1S2HIKWw9B8CIIns8+1u6F4cs9hs7gGfKVDMjvViCW7z6q27l+d0nURcEelj1Nuxdun2lh3sIl1+xtpCJpdkxOKPFwwvcxcaH16GROLvYPe5uGitebYru1EOjrM0FhegbegcESH5UEXae3sqq7P6LLuqO88xlPUWWlMPVbMBX9Z7tothDhjiViSlx7bwf6N9Sy8dBIrbp3ZbSgUSKDMWxIo81SwHrY/ZS6afPR9c1v1Clh0i7nWnbek5/PiYWg5YobM5trssNlyyFzqJJMr0EvYtJ67C/psZq+LgDdlLDHjUDgrOu8a46w0l+XpbxFwrTX764Os29/I29a9yJtD5pjBKaW+9ASfC6eXMa5wCG+nJ4ZOrAPqd3epOO6EtmOdxzj9Vjd1qtpodVkXVMlSPUKMEqG2GGt+sIVTtW2s+NhMFl02qddfsiVQ5ikJlHkkGoTda8xK5P5XQCdh3AJYeAss/BgUTTr794i0WWHTCprp59ZjvMst77ylUFKNLpxKwj2HuK4hHqsk3uEn0aRINEX6XQTcUepF2c/+B79haHafak+Pv3znQCPtEXOc4bQKfzpgXjCtjPKATKjIK4koNOzNrjbW7TR/6clckqdiVna1sXIuFE3Oq2EbQojB1Xyyg9UPbybUGuPKe+YzbWlFn8dLoMxTEihzLBmH/a+alchdz0I8ZP4AXfgxWHgrjJs3fG3RGh1sIFFbS+LIKeIng8QbDeJBL4loCZCaGZzEoU7gVIdweJpwFsZwljtxVBWjSqd0VjsLJw7pEitJQ7PjeFt6ks97B5voiJljMWePK0iHywumlVLsk9vgDYtkwhyikTm+sc5akkdb42RtjuwleVIVx5IaWZJHiDHm+N5m1vxgKza74rovLmbc1MJ+z5FAmackUOaA1mY39pbHYfuTEGoETzHMvwkW3QqTLxjyiow2NMnmSLqLOr2mY1+LgFd6cRSEcdpOoIKHsyubLYfNW9DpznUgUXazqpo5ZjOzaz0wblC7LONJg63HWllndY+/X9tEJG6gFMwbX5iuYJ47tZRCT37PDM97hmH+2WdVHHeZd5RJpsbJKiidmhEarQBZNkPucy2EYPe7J3nlFzspKvey6v7FFJYPbGy8BMo8JYFyGNXvMSuRW39vdvU5PDD7GrMSOeOKIfkh2+si4KdC6PggLwKejEPr0e7d6Kmu9eCp7OMdHitoTulhHGe1OU70LAJnNJFk85FWq4u8gQ8OtxBLGNgULJxYxIXWBJ9za0rwuaQy1iOtof1Edjd13U4zSMZDnccVTba6qTOX5JklS/IIIbrRWrPhuVreffogE2cVc/XnFuI5jeXfJFDmKQmUQ6ztBGx7wgySJzaDspmzsxfdCnNWgaf/8v5AjIhFwOPh7AlCzbXZ4zgjLdnHuwt7D5vFU8B9evfKjsSTfHCoOX2byE1HWkgYGodNsXhyMRdOM+9Dfk51CR7nGFj4u6uOhu7BsW4nRDOW5AmMyx7fmF6SZ3D+HgshRrdk0uC1X+1m19snmH1+FR++Yw52x+n1yEmgzFMSKIdApBV2PmN2aR98A9AwYalZiVxwszk79QxordHhBMm2GInWKMmmSFbFccQvAh5p7QybLV271A9lV8QAfGU9h82SGrOrvZ87nYRiCdbXNvO2Ncln69EWDA0uu42lU4rT9yFfMqUYt2MUBcxwS0ZXdUaXdaih8xhPccaSPBnL8vhKc9VqIcQIFw3Fef7RbRzd1cy519Vw7qqpZ7RcmgTKPCWBcpAkorD3RbMSuft589ZuJVPNSuTCW6C87/s4a0NjhOIkW2MkW6PWV8bzNvN5Zjc1gHLbcVZ1dlE7q8zwaAs4R9e6hlqbFbSWQz10qR8yl0oyMm9DqKBgfM+VzRJrwlCX2w+2R+K8X9vE2/vMgLnjRBtag8dpY3l1aXqSz6JJRTjtI2DWcazDCo5dKo7txzuPcQWyxzem7iIzyONbhRBjW1tjmGe/v4WWkyE+fMcc5lw4/oyvJYEyT0mgPAuGAYffNiuRO/5kdtn6ymHBX5hBcuIyUAqd1BhBq6qYColt3QMjyS5/12wKe6ELe5Ebe5ELe6G783mRG3uxG3vhyL57zKAxkuZYv54qm82HrHUNM76/NodZxcwKmxnPA5W0hOO8ay2wvm5/I7tPtQPgd9k5d2ppepLP/AlF2PtYT3PIJaLQsKf7PaubazuPsbvNrumsqqO1JI/8/RFCDKG6Q208+/0tJOIG13xuAZPmnF1PhwTKPCWB8gyc3GZNrnkC3XqSpGMSycmrSFZdRtIzg2R7IrvC2B7LyjIAOJQZCgvdOFIBsUtwtAWcfS78LU5DImbOQu8pbLYcho667OMd3s5qplXZbPdOYFN7Ma/Xe3n1UJz99eaanQUeB+dPLUt3kc+pKujx7g5nLZmApv0Z1UbrLjKN+7ssyTOz+60HS2q6VWSFEGKoHdzSwJ9/vA1vwMWq+xdTOsF/1teUQJmnJFD2zogl013NyRMnSO7dRPLYYZIhG0ldTtI+ASPRfRarctkyAmJGRbHIna442nwOqSzmk1io+0Lvmc8z7xUN4C4iXjiZekcV+2OlfNBeyOZgMUd0JUHPeJZMn5gOmDMqA6f3Z51akie9jqM1q7phT5cleaZ1D46l02VJHiFEXtjy6lHWPr6HiikFXPvFRfiLBueGExIo89RYDJRaa3Q02es4xWRrlERrDB1OdDtX2cI4Agp7ZRn20oKMLunO4KjcdgmLo024pUvY7NK1nghnHd5EEYeMCo7qchoc4/FUTmPclFnMnL2ASTUzUQ63OS607Xh2tbFuh3krwqwleaZYgbHLkjzOkXs/cyHE6GUYmrf/sI/Nrxxh6uJyrrxnPs7TWYKuHyM1UMridCOM1hojlOgWELtOdtGxZLdzbQEn9kIndkczLt8e7IlN2KnDXuTFPu8i7MuuxTZueg4+lcg5b7H5NX5x931aQ0d9VmWzpPkQ3voDzGisxRd6H/upJJwC3ockNtocZfgJ40oEO68TqDJD47K7spfk6ed+6kIIkS/isSQv/s92Dm5uYNFlk7j4YzOHZgjQCCSBMo9ow1xrsadJLYnWmLUtmnWnFwAUZiWx0I1znA/PrJLsrugCB/bGd1Hbf20u9xNrN2cIr/gLWHQfVC2SiQuid0pBoNL8mnyuuQlI1w+NJLrtGMcP7aF23w5aju1DN9fSHHeyW09mjzGJI85qSl1VTHcGmO4IMN3hZ7o9wFSbD0+uPpcQQpyGUFuMZ/97C3WH2lhx60wWXzY5103KK9LlPUx00iDZHssIiT3Mhm6LgdHlz8OussYmdp0N7ShyYwu4UPYugVBrOL7RvGvNtifMu7i4C2HuDeYM7ZoVMolBDBmtNfXBKPvrOthfH+RAvfm4vz7IsZYwqf92lIKJxV6mVwSYXhFgWoXffF7ppyLglqEVQoi80HSig9UPbybcHuMjn5nP1MUVQ/Ze0uU9hum4ka4ednZDp5bRMZ8bwe4zoZXTlg6G7qlF3Se4FLmw+U5zJnTTAdjyezNINu4FuwtmfsRcK3LW1eCUepAYekopKgs8VBZ4uHB6Wda+cCzJwYYODjQE04Fzf32Q9w42EY53DtUo8DiYVhFgeipkVgSYUelnSqkf12neeUIIIc7U0d3NPP/DrdgcNm7623OorJY7Z/VEAmU/jPTkll7GLLZFMTp6mNzisaeDobPKnxUWHVbFUXkHaSZ0sB62P2muF3nMqsZWr4CL7od5N5r3jBYiT3hdduZNKGTehOz/lA1Dc7ItYgbMuiAHGsyw+fa+Rp784Fj6OLtNMaXUlw6a0zICZ4lfZoALIQbP7ndO8MovdlFU6WPVfYsoLJfJgr0Zs4Gy623+jMyKYkZw1JEeJrf4HeluZ9eUgu4Lche5sLmH+FsbDcKuZ831Ive/aq7TN24BXPFPsPBj5qLWQowgNptiQrGXCcVeVs7M7k4KRhMc6NJ1vr+ugzf2NhBLdN5dqdTvYlp5Z7d5KmhOKvHiGAl3/xFC5AWtNevX1PLeMweZOLuEaz63ALcvj2/tmwdG/RjKcxYs0W/8eE2Pt/zreps/FNgCruxKYnrMois9llE5czT2MBmH/a+Ylcjda8ylV4ommwFy4a0wbl5u2iVEjiQNzbHmcGfIrE+N2QzSEIylj3PaFTVlnUFzWnmA6ZVmdbPQIz8khBCdkgmD1365i13vnGTOBVVc+qk52IdxmM1IHUM56gPlovFz9JpP/6j/2/wVubAXuFD5VsXQGo68Z1Yitz8FoUazC3veR83JNZMvAFuetVmIPNAairO/wew+359R2TzcGCKRMfmtssDdZUKQOW5zQpFXlgMRYoyJhuI898OtHNvdwnnXT2X5tTXDPjlQAmWeWrboHP3e2ndG3m3+6vdYtz/8vXnPYocHZl9jViJnXCF3CxHiDMWTBoebQumgecAKmvvqgrRFOsdDe5w2ppYHuo3VnFbhx+cas6OFhBi12hrCrH54M631YS67cy6zz6/KSTtGaqAc9f8rKpcNe+EICV9tJ8wlfrY+Dic2g7LB1Evgkq/CnFXgkZllQpwtp92WHluZSWtNY0esc5xmnRk0txxtZc3WE1krek0s9mZMBuqsbFYWyFJHQoxEp2rbePa/t2AkDG740hImzpbJrKdr1AfKvBdpNRcb3/I4HHwD0DBhKVz1/2DBzVCQm9+QhBhrlFKUB9yUB9ycN7U0a18knuRQY6jbDPTfrz9CR8ZdqQJuR1bQnGYF1+oyH55cjb0WQvTpwKZ6Xvyf7XgLXaz6m6WUjvfnukkjkgTKXEhEYe+LZiVy9/OQjELJVLjk780u7fIZuW6hECKDx2lndlUBs6uybxOpteZUWzTdbZ4aq/newSae2ti51JFNweRSn9llXu63xmmaobPU75KqphA5svnlI6z9w14qqwu57ouL8I2UHs08JIFyuBgGHH7brETu+KNZmfRXmPc1XnQrTFwmtz8UYoRRSlFV5KGqyMNFM8qz9oViiYxljlJjNTt4a18D0Yyljoq8zqxu89Q4zSmlPpz5NklQiFHCMDRv/X4vW149yrQlFVxxzzycLulFOBsSKIfayW3W5JonoO0oOP0wd5VZiZx2Kdjlj0CI0cjncrBgYhELJhZlbTcMzbGWsNltXhdMzz5/fU89v99wNH2cw6aoLrOqmqmxmpUBppcHKJL18IQ4Y/Fokj//z3ZqtzSw+IrJXHTzDFnRYRAMaJa3Uupq4LuAHfix1vrBLvuVtf9aIATcpbX+oK9zlVKlwO+AGqAWuFVr3Wzt+xrwGSAJfElr/UKX93samKa1XtBf2xcWFuo/XXIpyufF5vVh83iw+bworxebx9vtuc3rRWU+95qPqS/l9aJc/XRRtRwxZ2dv/T3U7QCbA6ZfblYiZ18DLhmfIYTori0SN6uadcGsW1PWNnYQT3b+X10ecKXHZ2YGzYklXuzyg1GIXnW0Rlnz31uoP9zOyo/PYuGl+XcTkJE6y7vfQKmUsgN7gCuBo8D7wO1a6x0Zx1wL/BVmoDwf+K7W+vy+zlVK/SvQpLV+UCn1AFCitf6qUmoe8BvgPGAC8BIwS2udtN7rZuBjwKKBBMrFVVX62VtuwQiFMSIRjHAInX4eRodC6Hh84N8xAJutW9hULgc2I4gtWo8t3oiya2wl47BNmIuatBhbUZl1rMc6z9ftuc3rRfl8KKdTxlQJIdISSYOjmQu4W0HzQEMHTR2dC7i7HLb0nYIyb0k5rcKPf6jv3iXyQrKlhfipOuyFBdgLC82fKfLzBIDG40GefXgL4WCMqz67gJpF5f2flAOjOVBeCHxTa32V9fprAFrr/5dxzA+B17TWv7Fe7wYuxaw+9nhu6hit9Qml1Hjr/Nldr6+UesG6xjqlVAB4HrgXeHwggXL58uV6/fr1fR6jEwkzYIZC6HC4h+dhM4iGzRBqPg9jdAQxTu3HqK9Ft9RjJDQGXrQ9gGE4MaJxdDh8+oHVbsfm8WRXVb1e87XH2+356VZcJbAKMXo0dcTSk4Iyx2webgqRzFjrqKrQk3U7ylTQHF/kkf8PRjCdSBDespWOtWsJvrWWyJat5g0xUux27AUF2IoKsRcUYi8swFZYZG4rLMBeWGRuKyjEXlRobbcei4qwuUbHJJWju5p47ofbcDhtXHffIiqr83cZPqXUBmApsDVj80cxM9WfgAOAF1ittf67fq51HvBo6iVmnnrK2nc78A+ABo4Dn9JaN5xpuwfyK+tE4EjG66OYVcj+jpnYz7njtNYnAKxQWZlxrXd6uBbAPwP/jtmtPmiUw4E9EMAeCPR/sJGEg6/Dlt+by/1MbIc542HBbWaXdtWibpNrdDyeDqY6EjZDaZfnRiRshtSuz8PWa+t5vKUVHQpZ282Ay5kEVq8X5fVY1VFvt9fZ+/qpqnq92HwZwXeU/AckxEhQ6ndR6i9leU32UkexhMHhpg721XXeJehAfQdPfXCM9mjnAu4+l71z0fbyznug15T58cokhbwUP36c4Nq1dKx9i4533sFoawObDe+iRZTfdx/u6dNIBoMYbW0k29ox2ttItraRbG/DaGsnfqqOZFsrRls7Ohrt872U290ZPHsKoYWF5jYrkNqs0GovLMRWUICy5/7v0K51J3j1F7sorvKx6v7FFJR6ct2kgQhrrZdkblBK1QBvaq1XKaW8wEal1FNa67f6uM42YLnWOmEV7zYrpZ6x9n0XmKe1brB6je8HvnmmDR5IoOzpV9euZc3ejhnIuQN6P6XUEmCG1vpvrG9q7xdQ6l7MKiZTpkzp5+0GQGs4vtEcE7ntCQieAnchzL/RnFxTswJsvf+jUU4ndqcTe0FBr8ecVfMyA2vYCpvhSGcltdvzcLfX5nkR4s0tXaqxYUgk+m9EJoejx6qqzWdVS3uoqnarpHqsIOtymV9OFza3q/N16isP/rMSIh+5HDZmVBYwo7L7Ukf1wWhnt7lV1dxwqJmnNx/PKm6lFnCfVu5narm5ruY0uS3lsDPCYULr1xN880061r5F7MABABxVVRR85EoCK1bgv/BC7EVF/Vyph2tHo2bwbG+3AmjPITTZ1mZua2omVnsofQ7JZJ/Xt/n9ndXRVPWzrxCaqo4WFmHzn113vdaa9545yPo1tUyaU8LVn1uI2zs6hn5orcNKqU10Ftx6Oy6zAOehM4Mp68uvlGoECoF9Z9OmgXxnjwKTM15PwiyNDuQYVx/nnlJKjc/o8q7r51oXAsuUUrVWuyuVUq9prS/t2mCt9aNYJd7ly5ef+b0lmw6Ylcitv4fGvWB3wcyPmJXImVeBMz9+yxmWwBpOVVNDaKsyOuCKa9jaFwpjNDZlVVyNcLjf/5D6ZLdnBEwnNmcPodMKojYrmHbb73J27s8IsMrt7nlf1+NczvR+HA7pPhR5TSlFZYGHygIPF04vy9oXiSc52NAZNA/UBznY0MGTXaqabofNCph+ppUHOp9XBCjyygz0s6W1Jrp3r1mBXLuW0Pr16FgM5XbjO/dcim+9hcCKFbimTz/r/29sbje2igocFRVn1E6jI2QGzbZ2jLZWku1W+MwMpm2d2+LHjxPZtROjrR0jGOyncbZ013vP1dFU93zGc6syir+A1x4/wJ53TzH3ovFc8snZ2EfWMlxeKzACHNRa35S5UylVAswE3rBefx5Aa/1I1wsppc4HfgJUA3dorRPW9i9gdqt3AHuB+86mwQMZQ+nAnFhzOXAMc2LNJ7TW2zOOuQ6zVJqalPOQ1vq8vs5VSv0b0JgxKadUa/33Sqn5wK/pnJTzMjAzNSnHer8azLEDgzKGMkuwHrY/aa4XeWw9oMwK5MJbYN4N4JXbMQ02HYt1duGnxq5a1VMdi5lf8Vjn81gMI/08nrVdx6LWvq7bM86Nd9kfjWaPOTobSllBtJ+Qm7m/W4jtJeR2C8QZ52a9p1XRdTlBxsuKQZCqah6o7+Bggxk0U88PdRmrWeZ3pYPmtIrOyuaUUh8ux4j6gT6ski0tdKxbl+7KTpw6BYBrxnQCF6/Av2IFvnOXY/PkRyFjMOhkEqO9vecQ2qU6mlUptaqjOhLp8bpxh5etC+6lpXgW00+9zIzoJhy9Vkc7u+fTYdWqkipHbqqZ1hjKOVrrQJftl2KOoTwEzAYe1Fp/4zSuOxf4GfAhzFV0UnNSDgDfA05qrb91pu3u97tl9bvfD7yAufTPT6xAmJmG12CGyX2Y4xvv7utc69IPAo8rpT4DHAZusc7ZrpR6HNgBJID7MsPkkIgGYdez5nqR+18FnYRxC+HK/w8W/AUU5d+yAqOJcrmwu1xn1F0zGLTWkEhkBNV4twDbY5CNRrOO6z3kmoHYiMXQUevYjo4+Q+5ZVW276C3ImoHV3ce+fiq6mSHW2f1cx/gJ2AOyRNZokFnVvGBadlUznjQ43BSyAmaqstnBy7vq+N36zvF5dpticonX7Da3QubUcj/TK/xUjMF7oHebTLN1GxgGtsJC/BddRGDFxfgvvhjn+PG5buqQUXY79uJi7MXFZ3S+EYt1hlCrOtp6sp1X1jkIhu2cX3mQiZUOkm2zzONaWogdPpQOpv121/t83UNoRrd8Znd96rhUt77N70fZhuQXqNQYylnAWmsM5aaBnKi13qmU6gAWYA0v1FrvB7By1wNn07ABrUM5kvVaoUzGYf8rZiVy9xqIh6BoCiz8mNmlXTl3+BsrhEUnk9mBM9pzpXZg1do+KrbxWPeKbjSaEXTN7ac9jhbAZsM9axbeJYvxLlmCb8kSnNXVYy44jGWt4Xi6omk+dq6rGYl33i0o4HZkdaF3Vjb9+FyjY8wbQPzEic7JNOvWdU6mWbgQ/4oV+FdcjHfhwpxVxka6kwdbWfPfWzCSmmu/sJAJM3vvUdRao0OhM66OGu3tfTfGZjOrngVdxoYW9dxFn9mV76oa11eF8u+01qus138DnKe1vr23ZiilpgJHrAJfNbAOWIQ5JHED5hKM9UqpfwZ8Wuu/7fcb3Yux9bdWazjynlmJ3P4UhBrNLuzFt5mTayafD0PzG4UQp0XZ7SivF7zeXDcFAG0YfVRs4+kA2xmAo8QOHCS8cSNtq5+l5be/A8BeUoJ3yZLOr4ULsPl8Of50YqgUeZ0smVzMksnFWdsNQ3OiLZLVdb6/Psj62u4Tg8YXebLHa1b4R8wi7kYkQuj9980q5Nq3iO3fD4Bj3LjOyTQXXHDGFTrRaf/GOl78yQ78RS5W3b+Ykqq+e0eUUii/H5vfj7Oq6rTfTyeTGMFgl8lMbWYXftfJTFYIjR48YG5rb0eHw2f6UTM9AvydFRqvgh7HUK4AHlBKxQED+GJqaSCl1D8Bb1j7DgF3nU1jxkaF8rlfmZXIrb+HlkPg8MDsa81K5PTLwSHL3AgxVHQySXT/fsIbNxHeZH7FDh40d9rteGbPNsPl0qV4ly7BOXGiVDHHsEg8SW1jR1bQTE0Qaot0VspdDhs1Zb7O2ecZobPEn5v/07XWxPbtI5g5mSYaRblc+M49F/+KFQRWXIxrxgz5Oz5ItNZsfvkIbz2xj3E1hVz3xUV4C/L/Z7oRi5nhs9sEpjZKb799dC5sPtItry7Q6++2gbKZ985eeKt5L2330MyIFkL0L9HcTHjzZitgbia8ZQs6ZK5uYS8vx7tkMb6lS/EuWYJn/vxRNRFBnBmttbmIe2pSkNWFfqA+yOGmUNatKUt8zvQYzcxu9OoyH27H4C41ljWZ5q23SZw8CYBr+nRzHOSKlaNuMk2+MJIGax/fy9bXjzF9aQVX3D0PxyhYO3XU3ilnpFteXaDX/+5fYf7NUDAu180RQvRAJxJE9+4lvGkToY0bCW/aTPzwYXOn04ln7lwzZFqVzNE8UUGcvtStKQ+kJgVlzESva++cGGRTMKnElzX7fHq5n6kVfqoKB3bHIJ1IEN66Nb2kT3jr1s7JNBdeiH/FxQRWrJC/o0MsFknw4v9sp3ZrI0uvnMKFN01H5fkQiIGSQJmnTnvZICFEXkg0NppVzI0bze7ybdvSy4Q4xo1Lj8P0LV2Ce968UXOLODG42iNxahtCHGgwb0mZOUkoFOuc5etz2dMhMzX7PDVm091U3+NkGs/CBeaSPitXyGSaYdTREmX19zfTeDTIh26bxYJLRtdKLBIo85QESiFGBx2PE9m9xwyY1ljM+LFjgLm4v2f+fHMcphU0neMq+7miGMu01pxsi3CwvoP9XWai1zW0Mq/+AMvqdrOsbjfV7eaakB2FpQQXLsN14UWMv+xDTK6uwjGyFsse8RqPBVn98GYioQRXfXY+NQvLc92kQSeBMk9JoBRi9IrX1XWOw9y0ici2beYyR4Bjwnh8S6yAuXQJnjlzUE65i4voTmtNbP9+swr5ZudkGu100jxjPnurF/Bu2UzeMYpoDndODHLaFVNKfdmTgqwKZ5nfJRNvBtmRnU08/8OtON12rrtvMRVTRudcCAmUeUoCpRBjh47FiOzcaY7F3LSJ8MZN6UkSyu3Gs3CBOQ7T+nKUj77qhhiYZGtr9p1pUpNppk0jsNK6M83y5di6LN3V3G1ikFnZrG0IEUt2rq1Z6HGk730+LeM+6DVlfjzOkT9xZLjteOs4r/9qNyXjfVx332IKSkfvJCcJlHlKAqUQY1v85EmzirlxI6FNm4js2AnxOADOyZOtcGnOKnfPmiXj4EYpnUwS2brVXNLnzTc7J9MUFGRPppkw4YyunzQ0x7ImBnWusXmitfMWgUrBhCIv0yr8TK/Ivg/6+EIPtlEysWSwaK159+kDbHjuEJPnlXL1Xy7A5R3d/0YlUOYpCZRCiExGNEpk+46ssZiJ+noAlM+Hd8GCdDe5d8kSHCW9321D5Lf4yZPpRcU71q3DaG0FpfAsXGguKr5iBd5FQz+ZpiOaMMdnNnRwMCNsHqgP0pExMcjjtFFT1j1oTqvwU+gZe8M1knGDl3++k73vn2LexeP50CdmYx8DY1ate3kvBbZmbP6t1vpBpdQq4J8BG+AEvqu1/mEf16oGnsS8/bUT+F5q8XOl1K+A5UAceA/4nNY6fsbtlkAphBjLtNYkjh8nlLHwemTXrvTtJl3V1Z2TfZYuwT1jBsouXZb5yIhECK3fQMebbxJ8ay2xfdadaSor04uK+y68MG9+SdBaU98eZb8VMg9mLHl0pDlM0uj8+VwecHW5LaX5fEqpD+coDFmRYJw1j2zhxL5WLvjoNM65auzcttUKlD3detGJeUeb87TWR5VSbqBGa727j2u5MLNeVCkVALYBF2mtjyulrgWesw79NfCG1voHZ9xuCZRCCJHNCIeJbNtmjsPcZC5dlGxqAsDm9+NdvKjz9pGLF2MvKspxi8emrMk0a98i9P77nXemWb48fX9s98yZIy6MxBIGh5tCWbPPU5XNxo5Y+ji7zZoYZFU0p5YHqC7zUVngprLAQ6HXMeI+e2t9iNUPb6GtMcwVd81j5vKxtYZ0H4GyFNgFVGutT/vejUqpMmAjcIHW+niXfX8DlGutv37G7ZZAKYQQfdNaEz9yJGvh9eju3WCYkzBc06fjXbLYWhdzKa5p01C20Vc1ygfmZJp36HjL7MpOnDgBmJNpUuMgfeee220yzWjSGopnjdHMfB5NGFnHuhw2KgJuKgvd6ZBZWZB67aHCel7md+fFvdFPHmjl2f/egtaaa7+wiAkzinPdpGHXS5f3/9Na/04p9WPgBuBlYDXwG621oZS6AViutf4/PVxvMvAsMAP4X1rr73fZ7wTeBf5aa/3mGbdbAqUQQpw+o6OD8NZthDdtTN+nPNnaCoCtsBDvokWdYzEXL8YeCPRzRdGTrMk0a9cS3rKlczLNBRfgX7mCwMUX45w4MddNzTnD0BxvDXO0OUxde5S6tgj17VHzeXuEujbzeWu4+zA5m4JyK3hWBKzgaYXQiqzn7kG/fWXKvg11vPTTHfiL3Vx//2KKx/mG5H3yXW8Vyoz9C4ErgDuBzVrruwZ43QnAH4HrtdanMrb/COjQWn/5rNotgVIIIc6e1prYwdr0OMzwpk1E9+4FrUEp3DNmZC287ppaM+K6IodL/NQpazLNWjre7jqZ5mJrMs0imZF/hiLxZDpo1rdHqW+PWAHUCp7WvsZgFKOHiFDsc2ZVOyusr8pCq/ppPQ+4B/bno7Vm04tHePvJfVRNK+LaLyzEWzB273zVX6DMOK4cOKi1HvCCnEqpx4BntdZ/sF5/A7MaerPW2ujz5H7Iv0YhhBgESinc06binjaV4ptvAiDZ3k54y5b04uttzz1Hy+OPA2AvKsqaTe5duBCb35/Lj5AzRjRK6P31dKxdS8dba4nu3QeAo6KCgssuI7ByRV5NphnpPE47k0t9TC7tuwKYNDSNwewKZ1bFsz3Kuwc7qG+PZq3BmeJz2dPBsyKjy70iHTrdlPvcbFt9kO1vHGfGskouv2sujjG4TqfWmlOhUxxqO9TrMdakmuVa69esTUswJ+n0dc4koFFrHVZKlQAXA/9h7fsscBVw+dmGSZAKpRBCDBttGMQOHMgaixnbb85ExmbDPXu2uSbmkiV4ly7FOXnyqKxiaq2JHTiQXtIn9P776EgE5XTiO3c5/ovNJX3cs0beZJqxSGtNazjevcppPa9v7wyiwWjGnYY0XN/hYnrCzvZCzbEpmVVOT9a4z4oCN+UB14i/1WV7rJ3a1lpq22o51HYo/Xio7RDhhDnPZttd2zYAy4DUAqYaeAL4IvA0cAkQBZLAMeBfgBZ6GEOplLoS+BlQal2nFrhaa31IKZUA2oHUKvHPaK1vPdPPJoFSCCFyKNnaalYxU+tibt6C0dEBgL20NF3F9C1ZgmfBghE72STZ1kbH2+u6T6aZOrVzSZ9zz8XmG5vj5saKUCxBXVuUo8fb2fH4fuKNUSKLijhWZjdDpxVCm0Pdx3kqBWV+lzmmM6PK2dNEo1zejSiejHOk/UhWaEyFyKZIU/o4m7IxMTCRmsIaqgurmVo0lerCai6YcEFWl7dS6irgH7TWlyilaoDVWusFA22PUurDwLta65BS6gvApVrrjyulrgO+DFwDuIHXgcu01m1n8rmly1sIIXLIXlREYOVKAitXAuYklOi+femJPuFNmwi+8op5sMOBZ/bsrLGYzokT8rKKp5NJItu2pZf0CW/ebE6mCQTMO9N8/vMEVshkmrHG53IQiETY/5v9EEqw6v7FVM8v63ZcLGHQkOpub+sc11mfMblo18k2GoKxrPU6Uwo8jh4rnZWF1nhP63mB+8yWVcrsoj7UdoiDrQfT4fFY8BhGRg9yqaeUmsIaLp18aTo81hTVMDkwGad9QAvWFwLNp93Izra+mvHyHeBT1vN5wOta6wSQUEptBq4GHj+T95EKpRBC5LlEc3N6HGZ440bCW7eiw2b3mKOionNNzKVL8Myfj83tzkk7MyfThN5eZ856VwrPggXpJX28ixahnGPvri/CdHh7I8//aBsuj4NV9y+ifNKA55P0KGlomjpiVpd6JD3RKDOEpsZ/dl1SCcy7E1VkLqdkTShKjfMMeBJE1EmaY8c51J7dTZ3qogbwOrxUF1abYTGj4jilcAqFrsLT+kxdlg3yAOMxK4cbrArlTiBzMfO/0lq/aS0p9IjWutfQo5R6GDiptf6WUuojwDeAKwEf5t1yvq+1/vfTanDq2hIohRBiZNGJBNE9e8yF161KZvzIEXOn04ln3tz0OEzvkiU4q6qGpB1GNEpo/Xo6rCV9onv3AmbITS0q7r/oIplMIwDY/uYxXv/NHkon+Fl13yICJZ7+TxokWmvaIomsCmcqhJ5s6+BY8Ch1kaO0Jo4RU3XY3PXYXA3YHMGMiygcuhy/qqLUNZEq32SmFFQzq3QaM8omUlXopaLAfdZ3Luo6y1spdSHwY2ABUM1pdnlnXPdTwP3AJVrrqLXt68AtQD1QB7yntf7uGbVbAqUQQox8iYYGwpvNCmZo0yYiW7eho1EAHFVV1qLrZiXTM3cuynX6y7KYSyMdNG9t2GUyjXf5svT9sd2zZuVlN7zIDW1o3vnTAT544RBT5pdy1V8uwOUZ3hF3WmvqQnWdYxqtcY2H2g5xLHiMpO68p3qpu5Tx/smUuiYRsI3HaVRCvIJwqJjGoJHuem/siNFThCr1u9LLKaW72QPdx3v6XD1/D3paNkgpdQpYiFlJPO1AqZS6AvgeZpis6+WYXwO/1FqvOZ1rp4z6MZRJnSRhJHDYRv1HFUKMYY7ycgouv5yCyy8HQMfjRHbt7pzss2kT7c8/D4ByufDMn29VMM07/DgrK3u8brKtzbwzzdq1BN9aS+K4NZmmpobij33MXNJHJtOIXiTiSV7+2U72ra9j/soJfOi2WdiGcKZ2MBY0xzS2WWMaWzu7qTO7qD12D9WF1cwpncPVU6+mprCGmsIaphROocg9sFupxpMGjcFY1qLxmTPc69sj7K8LUh+MEk92T54Bt6MzeGas4dmVUmoOYAcaMQPlaVFKLQV+iDm7uy5jux0o1lo3KqUWAYuAP5/u9dPXG+0VSu9Ur57xzRn4HD4KXAXpr4Az0O/rQleh+dwVwGP3yG/cQogRLX6qLmvh9ci2bei4OZvWOWFCuovcNW0q4c2b6XjTujNNMmlNprkgvaSPa5JMphF9CwdjPPeDrZzY38qFN09n6ZVTBuXnaDwZ52jwaFZYTFUcGyON6eNsysYE/wSqi6qZWjg1PRmmprCGSl8lNjU8SxAZhqYlHO8ePNuiWWM/69qihONJDn17VddbLyrMWd7P9jKG8ida64d6G0OplHoJs7p5wtp0WGt9g1LKA3xgbWsDPq+13nSmn3PUB8ppC6bp//Wr/0V7rJ1gLEh7rJ32eHv261g7CZ3o8zoOm4MCZ0E6YBa4Cvp8XegqzAqpAWcAu23sLdYqhMhfRixGdMeOrLGYiVPWHdmUwjN/vnlrQ5lMI05Ty6kQqx/eTLA5yhV3z2PGsp4r4L3RWlMfrk8vt5Negqe1tnsXtac0azJMKjROLpiMyz5y7rijtSYYTVDodW3QWi/PdXtO16gPlAMZQ6m1JpKM9Bg422Jt5vN4Z/js6XUoEeq3LX6nf8CV0Z5CqlRJhRBDLX7iBNH9B/DMnyeTacQZObGvhTU/MItr135xEeOn996FnOqiTofG1s7nXbuopxRO6bZmY3Vh9YC7qEcKpdSIDJQysBDzlmlehxevw0uFr+KMrpEwEnTEO7ICZ1usLasK2rUy2hBu4GDrwfTrgVRJMyufXSuhPVVGM0OrVEmFEP1xjh+Pc/z4XDdDjFB715/i5Z/uJFDqZtX9iymu9BE34hxtP5quMGZWHBvCDelzFYoJgQnUFNVwzrhzssLjcHZRizMjgXKQOGwOitxFZ/ybUqpKmlkZ7VoF7SmoHgwfTL8eaJW0p0poX5XRzNduu1uqpEIIIbIYhsHaZ3ey9dlTOCbEOfHhD/j61l9yqO0QR9uPZnVRl7hLqCmqYcXEFenJMNWF1UwunIzbnps1VMXZk0CZJzKrpJW+0xtrkpKqkmZVRrtURTODajAWpD5Uz8HWg+nXp1slPd2JTlIlFUKIkSsYC3KoPWP2dGsttS2HGL9xCbNOns/esg28NvnXOA7ZqS6sZlbJLD5S/RFqimrS4xxHWxe1MEmgHEUGo0oaToT7HS/aNajWh+rTrzPHvPSma5U0XQl1ZoRPV4BSTymzS2YzMTBRqqJCCDFM4kacY+3H0t3SqdsKHmo7RH24Pn2cQjHFU8OKHR+n4NR4POcGueXqi/hq0acY5x8nXdRjjARKkaaUwuf04XP6zqpKGowFu8+k72OiU12ojv0t+9OvM7tGAApcBcwrncfcsrnMLZ3LnLI5VBdUS6VTCCHOkNaahnBDt0W+U13Umb1VJe4SqguruWjCRekZ1DWFNZQmK/nzD3bRVN/BpZ+azbwVE3L4iUSuSaAUg8phc1DsKabYU3xG56eqpKmguat5Fzsbd7KzcSe/3vlrYkYMMO+bOqd0DnNL56aD5rTiaThtsqyJEEKkdMQ7us2eTgXHjnhH+ji33c2UwinMLJnJldVXZi2/01OvV/2Rdp5+eDOxaJJV9y9iyryy4fxYIg/JskFixIgbcQ62HjQDZtPO9GOqm91lczGzZGY6YM4rm8fMkpkyyFsIMWoZ2qAx3MjxjuOcCJ7geMdxjrQfSY9v7NpFPSEwocc1G6v8VQPuoj60rZEXfrQNt8/BqvsXUzYx0P9JYsBG6rJBEijFiGZog0Nth9jVZFYydzTtYGfjTtpibQDYlZ1pxdPSAXNu6Vxml87G7/TnuOVCCNG/hJGgLlTH8eBxjncc53jwOCc6TqQfTwRPpHtuUorcRelu6VRgrC6sZkrhlLP+BXvbG8d447d7KJvoZ9V9i/EXyy/sg00CZZ6SQDn2aK053nGcXY270gFzR+OO9C25FIrqwurO7nKroikzD4UQwy2ajKYri5mPx4LHONFxgrpQXbdx5WWeMiYEJjDeP56JgYmMD4xngn9C+jHgGvyKoTY06/64n41/Pkz1gjI+8tn5uDwyam4oSKDMUxIoRUp9qD6rq3xn406OdxxP758YmJg1LnNe2TzKveU5bLEQYqTriHekq4nHgse6hcfMhb3BvP90pa+SCf4J6dA4ITAh/brKX4XH4RnWz5CIJXnppzvZ/0EdCz40kZUfn4nNLjO4h4oEyjwlgVL0pSXSYobLpp3satzFzqad1LbVpvdXeCvMkFk2Nz3TfLx/vCxjJIRAa01rtJVjHVZQzOiOTnVPp4bfpDhtTsb7x6eriRMC2cGx0leZV5MLw+0x1vxgCycPtnHRzTNYcsVk+f9viEmgzFMSKMXpCsaC7G7e3VnJbNrJgZYD6W6nIneRWcXMmGE+pXCKrLkmxChjaIOGcEN2ULTCYqrC2HXtXa/D22NQTHVPl3nLRsz/FS2nQjzz8GY6WqJcefc8pp9zZsvJidMjgTJPSaAUgyGSiLC3eS87m8zxmLuadrGneQ9xIw6Az+FjTukc5pXNS1c0pxVNw2GTMUZC5Ku4Ee+c8NIlKJ4InuBEx4n0v/GUIneROV4x1RVtdUenKo5F7qJRUcE7vreFNY9swWZTXPuFRVRNkzHmw0UCZZ6SQCmGStyIc6DlADsad6THZO5u3p2uWLjtbmaVzEovxj6vdB4zSmbIMkZCDJNIIpKeCZ3qgs4MjXWhOgxtZJ1T7i3vHL+Y0S2dCpBjYYWIPe+f5OWf7aSwzMuq+xdRVOHLdZPGFAmUeUoCpRhOSSPJofZD6cXYU13m7bF2ABzKwfTi6emu8rllc5ldMhufU/7DFuJ0BWPBbrOiM7unUys7pNiVnXG+cd1mRacqjVX+qjH9C5/Wmg3PH+LdPx1g/Iwirv3CIjz+/BnPOVZIoMxTEihFrmmtORY8lq5ippYyaoo0AeYyRjVFNd3WypRljMRYprWmOdqcVV3sOo4x9YtaisvmYnxgfLeZ0ZkTXmQYSs+SSYPXf72bnW+dYOa547j8zrnYnSNjrOdoI4EyT0mgFPlIa019uD4rYO5s2snJjpPpYyYGJqYD5tyyucwpnSPLGIlRw9AG9aH6brOiM8cvdp3w4nP4uk12yawwlnpKR8yEl3wSDSd44dGtHNnZzPJrazjv+qmjYhzoSCWBMk9JoBQjSXOkudtamYfbD6f3V3orsxZjn1c2j3G+cfKfv8g7cSPOqY5TPU52ORY8xsnQSRJGIuucYndxr5NdJgQmUOgqlL/rg6y9KcKz399M84kQl3xyNvMunpDrJo15ozpQKqWuBr4L2IEfa60f7LJfWfuvBULAXVrrD/o6VylVCvwOqAFqgVu11s3Wvq8BnwGSwJe01i8opXzA74Hp1vZntNYP9Nd2CZRipGuPtbO7aXdW0DzQeiA9maDYXZx11595pfOYVDBJKjViSEUSkV7v7nI8eJz6cH23CS8V3opuQXF8wLrbi3+8jCUeZvWH21n9/c0kokmu/txCJs8tzXWTBKM4UCql7MAe4ErgKPA+cLvWekfGMdcCf4UZKM8Hvqu1Pr+vc5VS/wo0aa0fVEo9AJRorb+qlJoH/AY4D5gAvATMAtzA+VrrV5VSLuBl4P9qrZ/rq/0SKMVoFE6E2dO8J70Y+47GHext2Zuu+AScAWaXzs4al1lTVCPjx8SAtcfae11O53jH8fQY4BS7slPlr+q27mIqOFb5q3DZXTn6NKKr2q0NvPDj7Xh8Dlbdv5iyiYN/u0ZxZkZqoBzIT5fzgH1a6wMASqnfAjcCOzKOuRH4uTbT6TtKqWKl1HjM6mNv594IXGqd/zPgNeCr1vbfaq2jwEGl1D7gPK31OuBVAK11TCn1ATDpDD+3ECOa1+FlccViFlcsTm+LJ+Psa9mXVcn8w54/EElGAPDYPeYyRhkzzGcUz5Af8qOA1pq4EScUD9GR6CAUDxFKhLIfU897256xPxgLEowHs97DbXenw+Ls0tndxjFW+CrkF5YRYutrR3nzd3son1zAdfctwl80dme2i8EzkH/9E4EjGa+PYlYh+ztmYj/njtNanwDQWp9QSqWW4J8IvNPDtdKUUsXA9Zhd6UIIwGl3pru9mWluSxpJattq02tl7mraxbMHnuV3u38HgMPmYGbxzPRi7HNL5zKrZJZ0PQ4hrTUxI5YV5DriHYQSIcLxcLdw1xHvDIiZ+zODYzgeJqET/b+5xevw4nf68Tl8+Jw+fA4fRZ4ixjvG43f68Tv9jPONy+qeLvOUyfjFEU4bmref3Meml45Qs7CMKz8zH5dHfgkQg2Mgf5N6+h+kaz95b8cM5NzTej+llAOzS/yhVOWz2wWUuhe4F2DKlCn9vJ0Qo5fdZmd68XSmF0/n+unXA+bs2mPtx7Jml7925DWe2vcUADZlY2rh1PTM8nll85hdOptCV2EOP0lupMJfZqjLDHFnWg1M3cZzIDJDn9/px+vwUuwpZoJjQtZ2n9OH1+HNOt7n9HULjh6HR8bXjkHxWJKXHtvBgY31LLx0EitunYnNJr8giMEzkEB5FJic8XoScHyAx7j6OPeUUmq8VZ0cD9QN8P0eBfZqrf+rtwZrrR+1jmP58uWjexq7EKfJpmxMLpzM5MLJXFVzFWAGp1OhU1mzy987+R6rD6xOnze5YHLW/cvnls2l1JM/g/i11kST0QGFu1RADCfC/VYDBxr+FCoryPkcZsAr9ZQyyTmpW9Dr7dHv8ON1eiX8iUETaoux5gdbOFXbxopbZrLosklSbRaDbiCB8n1gplJqKnAMuA34RJdjngbut8ZIng+0WkGxvo9znwY+DTxoPf4pY/uvlVL/gTkpZybwHoBS6ltAEfDZM/isQoheKKWo8ldR5a/iw1M+nN7eGG5kV1PnxJ8djTv486E/p/eP841LzyxPVTQHsoyR1ppIMpIV/FLhrteqX2+PGYGw66ziXj8vKqty53V48Tl9lHnKmFIwJSsQ9lXt8zl8eJ1m97HH7pEf0iLvNJ/sYPXDmwm1xrjm3oVMW1qR6yaJUarfQKm1Tiil7gdewFz65yda6+1Kqc9b+x8B1mDO8N6HuWzQ3X2da136QeBxpdRngMPALdY525VSj2NO3EkA92mtk0qpScDXgV3AB9Z/3A9rrX88CN8HIUQPyrxlXDzxYi6eeHF6W1usjd1Nu7PuYf76kdfR1siUUk8pc0vnUuAq6LMaONDwZ1O2dHjzOTvDXLm3HF9B/1W/VDdx5nYJf2IsOL63mTU/2IrNrvjoV85h3NSxN2xFDB9Z2FwIcdZC8RB7mvdkzTCPJCLZVb0u1cCeqn2p/akxgT6HD7fdLeFPiNO0+92TvPKLnRSVe1l1/2IKy725bpIYoNG8bJAQQvTJ5/SxpHIJSyqX5LopQoxpWms2PFfLu08fZOKsYq7+3EI8fmeumyXGAAmUQgghxAijtSbcHqelLkRrXYiWU2Fa60I0nQzRfKKD2edX8eE75mB3yKQuMTwkUAohhBB5KhLMCI11Yeu5+RiPdK5AYLMpCiu8FFV6WfChCSy8VGZyi+ElgVIIIYTIoWg4YQXGzrCYqjhGQ50L1isFBWUeiit9VE0bT1Gll+JKH0WVXgrLPNjsUo0UuSOBUgghhBhisUiC1vpwOjCmu6nrQ4Tb41nHBkrcFI/zMWP5OIorvRRV+iiu9FJY7pUubJG3JFAKIYQQgyARS3YPjdbzUGss61hfkYviSh9TF5VbgdGsNBZVeHG47Dn6BEKcOQmUQgghxAAlEwZtDWFa6sLpwGhWG0MEW6JZNxf2FjgpqvAxZV5pt9Ao99AWo438jRZCCCEyGEmDtsZIRqUxnB7j2N4YIXP5ZrfPQVGljwkziyke58sY1+jD7ZUfsWLskL/tQgghxhzD0ASbskNjS7352FYfxjA6U6PTY6e40kdlTSGzzqvKGNfowxOQNR6FAAmUQgghRimtNR0tsazxjKnHtvowyUTn7T8dLhtFFT7KJviZtqSC4nGdodFb4JQleITohwRKIYQQI1Z6ge9ToS7d0+YM6kSsMzTaHTYKK7wUV3qpXlCWVWn0F7skNApxFiRQCiGEyHupBb4z12rsb4HvSbNLOsc0jvMSKPFgs0loFGIoSKAUQgiRF9ILfJ8KdZtFPZAFvovHeSkolQW+hcgFCZRCCCGGTWqB75ZT3bunuy3wXeqmuFIW+BZiJJBAKYQQYlB1XeA7s3taFvgWYnSSQCmEEOK0dVvgO6ObWhb4FmLskX/JQgghetTTAt+pJXh6XeB7VnE6MMoC30KMHfKvXAghRhltaBJxg3g0STyaJBEzH+OxJAlrm7ndyN5uHRcLm+Mc2xsissC3EGJAJFAKIUQOZIa+dODrEu4SUaOX7Unise6BsfPR6L8BGWw2hcNtx+my4fQ4cLrtlE8MMH1ppSzwLYQYEAmUQgjRC611uorXrcoXM4hHE52hr0uVLzP0dQ18Zxv6HG47TuvL43PgKHHjdNm773eZjw5X6nhbxvPO7TJjWghxtiRQCiFGNK3NSl9mV25m6MsMeZ1Br/8qXzxmkIglsyaX9EfZlBXkskOdy+vAX+Q2Q1zm/m6BLzv0ZW6X0CeEyGcSKIUQQ65b6Et158ayQ15WsIuaFcC+qnxnHPoyA50nO/Q53LbOal8Poc/hsmWEv4zQ57JjcyjpEhZCjEkSKIUQvdKGJmZN0oiFE0Stx/RXJNltW9TaHo8ksiqEZxP6Uo8uj7176OuhCzcz9GVV/yT0CSHEkJBAKcQoZSQNYuGMwBfJDH0ZITGSIJ65LdIZDDPvkdwbm03h8jpwec0qn9vroKDUg8vTW5XP1qWLN7vK53DbsDtsEvqEEGIEkUApRB5Kxo2sIJhdBUz2sM0MhPGM7QOZ9GF32nB5OoOgy+vAV+QzX3scOL329HaXp/OYVHh0eR04nBL+hBBirJNAKcQgSs0K7uz6zQiBXbuMI4nsCmJGeDQS/fcPO9x23J7OYOf2mZVBd0bYyw6CGcda2+1OmeghhBDi7EmgFMKiDU08mh3wohnBL6samLkto4s4Fk6ijX7CoAKXOzvc+QpdFFd6s4KgO+u5HWdmhdBj5/9v7/5jLCvvOo6/P3NnZnfbaReaBeSXXTTb2mIsWEJINYqNtLQxQlRMrQE0xk2xNaXaKNRGNEGDjcGAtFYqBKqEBkMNNNUgITSYKrWAS+m6ErBgi6ysiKGg3R8z8/WPe2b37mV+3N2Lc+beeb+SyT33nOc5+9w9uTef8zznOWeiYxiUJK0NBkqNhfm5efbv7Q94i0wm2dsXDHt7B/etPHEkEzk4RLwQ+maO3cj0SZ1miLhvWHjj4cFwetMk0xs6ZMIhYknS+DBQalVVFfOzxeyBOWYPzDN3YJ7Z/fPMHpjrLjd/3fWLzSCeO2xySbe3sHvbmZVMTObgUO9C4Nt83KZXBL4NmyaZ2tjp6yFsrhec9npBSZL6GSjXsfn5Ynb/HHOz3VB3KNDNMbd/ntnZ+e5rX/ibm51rQuBCnZ7tTRB8RTjs2eeR3D5mweTURF/o6zBzzIZFhoh7rh/sm0QyOdV59f8TJUmSgXItGLTX7pXhryl/MPz1Bbve+v11DswzP3cUya6RiTA5NUFnaoLJqe5tYDqTE0xOd99PzUwxOdU5tH1qgs505/A6UxN0prr3DDxUt6fO9KEQ2fF6QUmS1iwDZZ+DvXYHFumBW6pXbtEh27lDQW52kV67/XOHegCPstduQedgOOsJaU0gm5zusHFmui/INaFtepF1C+X6wl+nKbNQx4AnSZIWjH2gfOm/9nLvzTsPD4IHQ97hQXBu/zzzK83QXcbERPqC2uE9dFMz08v2xnXX9/firRD+Jiec4CFJklo19oFy33dm+Y9vvHhYUJve2KEzNX34UOzkBJ3pRXrjjiD8eRsXSZK0Ho19oNxyygwXX/2OtpshSZI0tuxSkyRJ0lAMlJIkSRqKgVKSJElDMVBKkiRpKAZKSZIkDcVAKUmSpKEYKCVJkjQUA6UkSZKGYqCUJEnSUAYKlEnOT/J4kieTXLHI9iS5vtn+tSQ/uFLdJG9Icm+SJ5rXY3u2XdmUfzzJu3vWvz3JY82265P4EGtJkqSWrRgok3SATwLvAd4K/FySt/YVew+wrfnbDvzJAHWvAO6rqm3Afc17mu3vA04Hzgc+1eyHZr/be/6t84/8I0uSJOnVNEgP5dnAk1X1jaraD3wOuKCvzAXAZ6vrQeCYJCeuUPcC4NZm+Vbgwp71n6uqfVX1FPAkcHazv9dX1T9UVQGf7akjSZKklgwSKE8GvtXz/plm3SBllqt7QlXtBmhejx9gX8+s0A5JkiStsskByix2nWINWGaQuoP+ewPvK8l2ukPjAPuSfH2Ff1Nr02bgxbYboaPm8RttW4Dn226EjorfvdH25rYbcDQGCZTPAKf2vD8FeHbAMtPL1H0uyYlVtbsZzt6zwr6eaZaXawcAVXUjcCNAkoeq6qzlPqDWpiQ3VtX2lUtqLfL4jTZ/O0eX373RluShtttwNAYZ8v4qsC3JaUmm6U6YubuvzN3AJc1s73OAF5th7OXq3g1c2ixfCtzVs/59STYkOY3u5Jt/bPb3UpJzmtndl/TU0Xj6QtsN0FA8flI7/O5p1a3YQ1lVs0k+BNwDdICbq2pnkg802z8N/DXwXroTaP4X+MXl6ja7vga4I8kvAd8ELmrq7ExyB/DPwCzwwaqaa+pcBtwCbAL+pvnTmKoqfxRHmMdPaoffPbUh3QnT4yvJ9mYIXJI0IH87pXaM6ndv7AOlJEmS/n/56EWtCUlOTXJ/kl1Jdib5cLP+oub9fBInCKxByxy7M5I8mGRHkoeSnN12W6Vxk+TmJHt672bi76baMDaBcrEvVc+2jyapJFvaaJsGMgv8elW9BTgH+GDz1KSvAz8FPNBm47SspY7dJ4DfraozgN9u3kt6dd3CK58a5+/mCFjiZGBkT8THJlCy+JeKJKcC59Gd+KM1qqp2V9UjzfJLwC7g5KraVVWPt9s6LWepY0f3PrGvb4ptZonbfEk6elX1APBC3zp/N0fDLbwyt4zsifgg96EcCVX1QJKti2z6I+A38BZDI6M5jmcCX2m5KTpCfcfucuCeJH9I9+T1He21TJLWliVyy8ieiI9NoFxMkp8E/r2qHu3eulJrXZIZ4E7g8qr6dtvt0eD6j12Sq4GPVNWdSX4WuAn48VYbKUlr2+WM6In4OA15HybJa4DfottlrBGQZIpuILmtqj7fdns0uCWO3aXAwvJfAiNzLZAkteQyuifipwIfoXsiPhLGNlAC3wucBjya5Gm6j2p8JMl3tdoqLap5+tFNwK6qurbt9mhwyxy7Z4EfbZbfCTyx2m2TpBEzsifiYzvkXVWPAccvvG9C5VlV9XxrjdJyfgi4GHgsyY5m3ceADcAfA8cBX0yyo6re3U4TtYSljt0vA9clmQT2Aj5bWHqVJbkdOBfYkuQZ4Cq6k3T83RxNCyfiX2LETsTH5sbmvV8q4Dngqqq6qWf70xgoJUnSGrBYbgEeB66j2+G3F/iVqnq4rTYeibEJlJIkSWrHOF9DKUmSpFVgoJQkSdJQDJSSJEkaioFSkiRJQzFQSpIkaSgGSkmSJA3FQClJkqShGCglSZI0FAOlJEmShmKglCRJ0lAMlJIkSRqKgVKSJElDMVBKkiRpKAZKSZIkDcVAKUmSpKEYKCVpnUryctttkDQeDJSSJEkaioFSktaxJDNJ7kvySJLHklzQrN+aZFeSzyTZmeRvk2xqu72S1qZUVdttkCS1oBnyPgZ4TVV9O8kW4EFgG/BG4EngrKrakeQO4O6q+ovWGixpzZpsuwGSpFYF+P0kPwLMAycDJzTbnqqqHc3yw8DWVW+dpJFgoJSk9e3ngeOAt1fVgSRPAxubbft6ys0BDnlLWpTXUErS+rYZ2NOEyR+jO9QtSUfEHkpJWoeSTNLtgbwN+EKSh4AdwL+02S5Jo8lJOZK0DiV5G/CZqjq77bZIGn0OeUvSOpPkA8DtwMfbbouk8WAPpSRJkoZiD6Ukjbkkpya5v7lR+c4kH27WvyHJvUmeaF6Pbdafl+Th5kbnDyd5Z8++fi/Jt3xso6Re9lBK0phLciJwYlU9kuR1dO8peSHwC8ALVXVNkiuAY6vqN5OcCTxXVc8m+X7gnqo6udnXOcC/AU9U1Uwbn0fS2mOglKR1JsldwA3N37lVtbsJnV+qqjf3lQ3wPHBSVe3rWf+ygVLSAoe8JWkdSbIVOBP4CnBCVe0GaF6PX6TKTwP/1BsmJamf96GUpHUiyQxwJ3B58+zulcqfDvwB8K5VaJ6kEWYPpSStA0mm6IbJ26rq883q55qh7oXrLPf0lD8F+Cvgkqr619Vur6TRYqCUpDHXXAd5E7Crqq7t2XQ3cGmzfClwV1P+GOCLwJVV9eVVbKqkEeWkHEkac0l+GPg74DFgvln9MbrXUd4BfDfwTeCiqnohyceBK4Enenbzrqrak+QTwPuBk4BngT+rqt9ZlQ8iac0yUEqSJGkoDnlLkiRpKAZKSZIkDcVAKUmSpKEYKCVJkjQUA6UkSZKGYqCUpEaSuSQ7kuxM8miSX0uy7O9kkq1J3r9abZSktchAKUmHfKeqzqiq04HzgPcCV61QZyvd+zJK0rrlfSglqZHk5aqa6Xn/PcBXgS3AG4E/B17bbP5QVf19kgeBtwBPAbcC1wPXAOcCG4BPVtWfrtqHkKQWGCglqdEfKJt1/w18H/ASMF9Ve5NsA26vqrOSnAt8tKp+oim/HTi+qq5OsgH4Mt0n0Dy1mp9FklbTZNsNkKQ1Ls3rFHBDkjOAOeBNS5R/F/ADSX6meb8Z2Ea3B1OSxpKBUpKW0Ax5zwF76F5L+RzwNrrXn+9dqhrwq1V1z6o0UpLWACflSNIikhwHfBq4obrXBm0GdlfVPHAx0GmKvgS8rqfqPcBlSaaa/bwpyWuRpDFmD6UkHbIpyQ66w9uzdCfhXNts+xRwZ5KLgPuB/2nWfw2YTfIocAtwHd2Z348kCfCfwIWr03xJaoeTciRJkjQUh7wlSZI0FAOlJEmShmKglCRJ0lAMlJIkSRqKgVKSJElDMVBKkiRpKAZKSZIkDcVAKUmSpKH8Hz4fc3/pdeU4AAAAAElFTkSuQmCC\n",
- "text/plain": [
- "<Figure size 720x432 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "ax = deaths_pc.iloc[-6:].plot(figsize=(10, 6), title=\"Deaths per million, linear\")\n",
- "ax.set_xlabel(f\"Date\")\n",
- "for c in COUNTRIES_CORE:\n",
- " lvi = deaths_pc[c].last_valid_index()\n",
- " ax.text(x = lvi, y = deaths_pc[c][lvi], s = f\"{c}: {deaths_pc[c][lvi]*10**6:.0f}\")\n",
- "# plt.savefig('covid_deaths_total_linear.png') "
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
- }
- ],
- "metadata": {
- "jupytext": {
- "formats": "ipynb,md"
- },
- "kernelspec": {
- "display_name": "Python 3",
- "language": "python",
- "name": "python3"
- },
- "language_info": {
- "codemirror_mode": {
- "name": "ipython",
- "version": 3
- },
- "file_extension": ".py",
- "mimetype": "text/x-python",
- "name": "python",
- "nbconvert_exporter": "python",
- "pygments_lexer": "ipython3",
- "version": "3.8.5"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
+++ /dev/null
-{
- "cells": [
- {
- "cell_type": "markdown",
- "metadata": {
- "Collapsed": "false"
- },
- "source": [
- "Data from [European Centre for Disease Prevention and Control](https://www.ecdc.europa.eu/en/publications-data/download-todays-data-geographic-distribution-covid-19-cases-worldwide)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 192,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "The sql extension is already loaded. To reload it, use:\n",
- " %reload_ext sql\n"
- ]
- }
- ],
- "source": [
- "import itertools\n",
- "import collections\n",
- "import json\n",
- "import pandas as pd\n",
- "import numpy as np\n",
- "from scipy.stats import gmean\n",
- "import datetime\n",
- "\n",
- "import matplotlib as mpl\n",
- "import matplotlib.pyplot as plt\n",
- "%matplotlib inline\n",
- "%load_ext sql"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 193,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "connection_string = 'postgresql://covid:3NbjJTkT63@localhost/covid'"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 194,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "'Connected: covid@covid'"
- ]
- },
- "execution_count": 194,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "%sql $connection_string"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 195,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# DEATH_COUNT_THRESHOLD = 10\n",
- "COUNTRIES_CORE = tuple('IT DE UK ES IE FR BE'.split())\n",
- "# COUNTRIES_NORDIC = 'SE NO DK FI UK'.split()\n",
- "# COUNTRIES_FRIENDS = 'IT UK ES BE SI MX'.split()\n",
- "# # COUNTRIES_FRIENDS = 'IT UK ES BE SI PT'.split()\n",
- "\n",
- "# COUNTRIES_AMERICAS = ['AG', 'AR', 'AW', 'BS', 'BB', 'BZ', 'BM', 'BO', 'BR', 'VG', 'KY', # excluding Canada and USA\n",
- "# 'CL', 'CO', 'CR', 'CU', 'CW', 'DM', 'DO', 'EC', 'SV', 'GL', 'GD', 'GT',\n",
- "# 'GY', 'HT', 'HN', 'JM', 'MX', 'MS', 'NI', 'PA', 'PY', 'PE', 'PR', 'KN',\n",
- "# 'LC', 'VC', 'SX', 'SR', 'TT', 'TC', 'VI', 'UY', 'VE']\n",
- "# COUNTRIES_OF_INTEREST = list(set(COUNTRIES_CORE + COUNTRIES_FRIENDS))\n",
- "# COUNTRIES_ALL = list(set(COUNTRIES_CORE + COUNTRIES_FRIENDS + COUNTRIES_NORDIC + COUNTRIES_AMERICAS))"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "Collapsed": "false"
- },
- "source": [
- "# Write results to summary file"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 196,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n"
- ]
- },
- {
- "data": {
- "text/plain": [
- "datetime.date(2021, 1, 26)"
- ]
- },
- "execution_count": 196,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "last_uk_date = %sql select date from uk_data order by date desc limit 1\n",
- "last_uk_date = last_uk_date[0][0]\n",
- "last_uk_date"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 197,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n"
- ]
- },
- {
- "data": {
- "text/plain": [
- "datetime.date(2021, 1, 18)"
- ]
- },
- "execution_count": 197,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "last_intl_date = %sql select report_date from weekly_cases order by report_date desc limit 1\n",
- "last_intl_date = last_intl_date[0][0]\n",
- "last_intl_date"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 198,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "390 rows affected.\n",
- "Returning data to local variable results\n"
- ]
- }
- ],
- "source": [
- "%%sql results << select date, new_cases, new_deaths \n",
- "from uk_data \n",
- "order by date"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 199,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
- " .dataframe tbody tr th:only-of-type {\n",
- " vertical-align: middle;\n",
- " }\n",
- "\n",
- " .dataframe tbody tr th {\n",
- " vertical-align: top;\n",
- " }\n",
- "\n",
- " .dataframe thead th {\n",
- " text-align: right;\n",
- " }\n",
- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>new_cases</th>\n",
- " <th>new_deaths</th>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>date</th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>2021-01-17</th>\n",
- " <td>28875.0</td>\n",
- " <td>671</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2021-01-18</th>\n",
- " <td>44732.0</td>\n",
- " <td>599</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2021-01-19</th>\n",
- " <td>39311.0</td>\n",
- " <td>1610</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2021-01-20</th>\n",
- " <td>35015.0</td>\n",
- " <td>1820</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2021-01-21</th>\n",
- " <td>31430.0</td>\n",
- " <td>1290</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2021-01-22</th>\n",
- " <td>29094.0</td>\n",
- " <td>1401</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2021-01-23</th>\n",
- " <td>20495.0</td>\n",
- " <td>1348</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2021-01-24</th>\n",
- " <td>14266.0</td>\n",
- " <td>610</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2021-01-25</th>\n",
- " <td>4482.0</td>\n",
- " <td>592</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2021-01-26</th>\n",
- " <td>NaN</td>\n",
- " <td>1631</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " new_cases new_deaths\n",
- "date \n",
- "2021-01-17 28875.0 671\n",
- "2021-01-18 44732.0 599\n",
- "2021-01-19 39311.0 1610\n",
- "2021-01-20 35015.0 1820\n",
- "2021-01-21 31430.0 1290\n",
- "2021-01-22 29094.0 1401\n",
- "2021-01-23 20495.0 1348\n",
- "2021-01-24 14266.0 610\n",
- "2021-01-25 4482.0 592\n",
- "2021-01-26 NaN 1631"
- ]
- },
- "execution_count": 199,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "uk_data = results.DataFrame()\n",
- "uk_data['date'] = uk_data.date.astype('datetime64[ns]')\n",
- "uk_data.set_index('date', inplace=True)\n",
- "uk_data.tail(10)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 200,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n"
- ]
- },
- {
- "data": {
- "text/plain": [
- "datetime.date(2021, 1, 26)"
- ]
- },
- "execution_count": 200,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "most_recent_uk_date = %sql select max(date) from uk_data\n",
- "most_recent_uk_date = most_recent_uk_date[0][0]\n",
- "most_recent_uk_date"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 201,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "7 rows affected.\n",
- "Returning data to local variable results\n"
- ]
- }
- ],
- "source": [
- "%%sql results << select geo_id, country_name, culm_deaths \n",
- "from weekly_cases join countries using (geo_id)\n",
- "where geo_id in :COUNTRIES_CORE \n",
- " and (geo_id, report_date) in (select geo_id, max(report_date) from weekly_cases group by geo_id)\n",
- "order by geo_id"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 202,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "datetime.date(2020, 12, 27)"
- ]
- },
- "execution_count": 202,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "thirty_days_ago = most_recent_uk_date - datetime.timedelta(days=30)\n",
- "thirty_days_ago"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 203,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n",
- " * postgresql://covid:***@localhost/covid\n",
- "1 rows affected.\n"
- ]
- },
- {
- "data": {
- "text/plain": [
- "(100184, 29366, 1283174)"
- ]
- },
- "execution_count": 203,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "# thirty_days_ago = most_recent_uk_date - datetime.interval(days=30)\n",
- "total_uk_deaths = %sql select sum(new_deaths) from uk_data\n",
- "total_uk_deaths = total_uk_deaths[0][0]\n",
- "deaths_in_past_month = %sql select sum(new_deaths) from uk_data where date > :thirty_days_ago\n",
- "deaths_in_past_month = deaths_in_past_month[0][0]\n",
- "cases_in_past_month = %sql select sum(new_cases) from uk_data where date > :thirty_days_ago\n",
- "cases_in_past_month = cases_in_past_month[0][0]\n",
- "total_uk_deaths, deaths_in_past_month, cases_in_past_month"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 204,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "with open('covid_summary.md', 'w') as f:\n",
- " f.write('% Covid death data summary\\n')\n",
- " f.write('% Neil Smith\\n')\n",
- " f.write(f'% Created on {datetime.datetime.now().strftime(\"%Y-%m-%d\")}\\n')\n",
- " f.write('\\n') \n",
- " f.write(f'> Last UK data from {last_uk_date.strftime(\"%d %b %Y\")}. ')\n",
- " f.write(f' Last international data from {last_intl_date.strftime(\"%d %b %Y\")}.\\n')\n",
- " f.write('\\n') "
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 205,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "with open('covid_summary.md', 'a') as f:\n",
- " f.write('## Headlines (UK data)\\n')\n",
- " f.write('\\n')\n",
- " f.write('| []() | |\\n')\n",
- " f.write('|:---|---:|\\n')\n",
- " f.write(f'| Deaths reported so far | {total_uk_deaths} | \\n')\n",
- " f.write(f'| Deaths in last 30 days | {deaths_in_past_month} | \\n')\n",
- " f.write(f'| Cases in last 30 days | {cases_in_past_month} | \\n')\n",
- "# f.write(f'| Total Covid deaths to date (estimated) | {uk_deaths_to_date:.0f} |\\n')\n",
- " f.write('\\n')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 206,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "with open('covid_summary.md', 'a') as f:\n",
- " f.write('## International comparison\\n')\n",
- " f.write('\\n')\n",
- " f.write(f'Based on weekly data. Last data from {last_intl_date.strftime(\"%d %b %Y\")}\\n')\n",
- " f.write('\\n')\n",
- " f.write('### Total deaths\\n')\n",
- " f.write('\\n')\n",
- " f.write('\\n')\n",
- " f.write('\\n')\n",
- " f.write('| Country ID | Country name | Total deaths |\\n')\n",
- " f.write('|:-----------|:-------------|-------------:|\\n')\n",
- " for c_id, c_name, t_deaths in results:\n",
- " f.write(f'| {c_id} | {c_name} | {t_deaths} |\\n')\n",
- " f.write('\\n')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 207,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# with open('covid_summary.md', 'a') as f:\n",
- "# f.write('## All-causes deaths, UK\\n')\n",
- "# f.write('\\n')\n",
- "# f.write('\\n')\n",
- "# f.write('\\n')\n",
- "# f.write('### True deaths\\n')\n",
- "# f.write('\\n')\n",
- "# f.write(f'The number of deaths reported in official statistics, {uk_covid_deaths}, is an underestimate '\n",
- "# 'of the true number of Covid deaths.\\n'\n",
- "# 'This is especially true early in the pandemic, approximately March to May 2020.\\n')\n",
- "# f.write('We can get a better understanding of the impact of Covid by looking at the number of deaths, '\n",
- "# 'over and above what would be expected at each week of the year.\\n')\n",
- "# f.write(f'The ONS (and other bodies in Scotland and Northern Ireland) have released data on the number of deaths '\n",
- "# f'up to {pd.to_datetime(excess_deaths_data[\"end_date\"]).strftime(\"%d %B %Y\")}.\\n\\n')\n",
- "# f.write('If, for each of those weeks, I take the largest of the excess deaths or the reported Covid deaths, ')\n",
- "# f.write(f'I estimate there have been **{uk_deaths_to_date}** total deaths so far.\\n')\n",
- "# f.write('\\n')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 208,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "with open('covid_summary.md', 'a') as f:\n",
- " f.write('### Deaths per week\\n')\n",
- " f.write('\\n')\n",
- " f.write('\\n')\n",
- " f.write('\\n')\n",
- " f.write('\\n')\n",
- " f.write('\\n')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 209,
- "metadata": {},
- "outputs": [],
- "source": [
- "with open('covid_summary.md', 'a') as f:\n",
- " f.write('## UK data\\n')\n",
- " f.write('\\n')\n",
- " f.write('### Total deaths\\n')\n",
- " f.write('\\n')\n",
- " f.write(f'Deaths reported up to {last_uk_date.strftime(\"%d %b %Y\")}: {total_uk_deaths}\\n')\n",
- " f.write('\\n') \n",
- " f.write('\\n')\n",
- " f.write('\\n') \n",
- " f.write('\\n')\n",
- " f.write('\\n')\n",
- " f.write('\\n')\n",
- " f.write('\\n')\n",
- " "
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 210,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "with open('hospital_normalisation_date.json') as f:\n",
- " hospital_normalisation_date_data = json.load(f)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 211,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "with open('covid_summary.md', 'a') as f:\n",
- " f.write('### Hospital care\\n')\n",
- " f.write(f'Based on a 7-day moving average\\n')\n",
- " f.write('\\n')\n",
- " f.write('\\n')\n",
- " f.write('\\n')\n",
- " f.write('Due to the large scale differences between the three '\n",
- " 'measures, they are all normalised to show changes ')\n",
- " f.write(f'since {pd.to_datetime(hospital_normalisation_date_data[\"hospital_normalisation_date\"]).strftime(\"%d %B %Y\")}.\\n')\n",
- " f.write('\\n')\n",
- " f.write('People in hospital, and on mechanical ventilators\\n')\n",
- " f.write('\\n')\n",
- " f.write('\\n')\n",
- " f.write('\\n')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 212,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "with open('covid_summary.md', 'a') as f:\n",
- " f.write('### Testing effectiveness\\n')\n",
- " f.write('\\n')\n",
- " f.write('A question about testing is whether more detected cases is a result of more tests being '\n",
- " 'done or is because the number of cases is increasing. One way of telling the differeence '\n",
- " 'is by looking at the fraction of tests that are positive.\\n')\n",
- " f.write('\\n')\n",
- " f.write('\\n')\n",
- " f.write('\\n')\n",
- " f.write('Numbers of positive tests and cases, '\n",
- " '7-day moving average.\\n'\n",
- " 'Note the different y-axes\\n')\n",
- " f.write('\\n') \n",
- " f.write('\\n')\n",
- " f.write('\\n')\n",
- " f.write('Fraction of tests with a positive result, both daily figures and '\n",
- " '7-day moving average.\\n')\n",
- " f.write('\\n') \n",
- " f.write('\\n')\n",
- " f.write('\\n')\n",
- " f.write('\\n')\n",
- " f.write('The trajectory of tests done vs fraction positive tests.\\n')\n",
- " f.write('\\n')\n",
- " f.write('Points higher indicate more tests; points to the right indicate more positive tests.'\n",
- " 'More tests being done with the same infection prevelance will move the point up '\n",
- " 'and to the left.\\n')\n",
- " f.write('\\n')\n",
- " f.write('\\n')\n",
- " f.write('\\n')\n",
- " f.write('\\n')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": 213,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "with open('covid_summary.md', 'a') as f:\n",
- " f.write('# Data sources\\n')\n",
- " f.write('\\n')\n",
- " f.write('> Covid data from [European Centre for Disease Prevention and Control](https://www.ecdc.europa.eu/en/publications-data/download-todays-data-geographic-distribution-covid-19-cases-worldwide)\\n')\n",
- " f.write('\\n') \n",
- " f.write(\"\"\"> Population data from:\n",
- "\n",
- "* [Office of National Statistics](https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/datasets/weeklyprovisionalfiguresondeathsregisteredinenglandandwales) (Endland and Wales) Weeks start on a Saturday.\n",
- "* [Northern Ireland Statistics and Research Agency](https://www.nisra.gov.uk/publications/weekly-deaths) (Northern Ireland). Weeks start on a Saturday. Note that the week numbers don't match the England and Wales data.\n",
- "* [National Records of Scotland](https://www.nrscotland.gov.uk/statistics-and-data/statistics/statistics-by-theme/vital-events/general-publications/weekly-and-monthly-data-on-births-and-deaths/weekly-data-on-births-and-deaths) (Scotland). Note that Scotland uses ISO8601 week numbers, which start on a Monday.\"\"\")\n",
- " \n",
- " f.write('\\n\\n')\n",
- " f.write('> [Source code available](https://git.njae.me.uk/?p=covid19.git;a=tree)\\n')\n",
- " f.write('\\n') \n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 214,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "!pandoc --toc -s covid_summary.md > covid_summary.html"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 215,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "covid_summary.html 100% 10KB 287.3KB/s 00:00 \n",
- "covid_deaths_total_linear.png 100% 45KB 1.8MB/s 00:00 \n",
- "cases_and_deaths.png 100% 62KB 5.3MB/s 00:00 \n",
- "cases_and_deaths_last_60_days.png 100% 62KB 8.4MB/s 00:00 \n",
- "deaths-radar-2020.png 100% 199KB 5.4MB/s 00:00 \n",
- "covid_deaths_per_week.png 100% 61KB 8.0MB/s 00:00 \n",
- "fraction_positive_tests.png 100% 59KB 2.8MB/s 00:00 \n",
- "tests_and_cases.png 100% 40KB 5.4MB/s 00:00 \n",
- "deaths_by_date_last_6_weeks.png 100% 33KB 5.4MB/s 00:00 \n",
- "fraction_positive_tests_vs_tests.png 100% 41KB 7.7MB/s 00:00 \n",
- "tests_vs_fraction_positive_animation.png 100% 1982KB 10.3MB/s 00:00 \n",
- "people_in_hospital.png 100% 42KB 8.0MB/s 00:00 \n",
- "cases_admissions_deaths.png 100% 44KB 2.3MB/s 00:00 \n"
- ]
- }
- ],
- "source": [
- "!scp covid_summary.html neil@ogedei:/var/www/scripts.njae.me.uk/covid/index.html\n",
- "!scp covid_deaths_total_linear.png neil@ogedei:/var/www/scripts.njae.me.uk/covid/\n",
- "!scp cases_and_deaths.png neil@ogedei:/var/www/scripts.njae.me.uk/covid/\n",
- "!scp cases_and_deaths_last_60_days.png neil@ogedei:/var/www/scripts.njae.me.uk/covid/\n",
- "# !scp deaths-radar.png neil@ogedei:/var/www/scripts.njae.me.uk/covid/\n",
- "!scp deaths-radar-2020.png neil@ogedei:/var/www/scripts.njae.me.uk/covid/\n",
- "!scp covid_deaths_per_week.png neil@ogedei:/var/www/scripts.njae.me.uk/covid/\n",
- "!scp fraction_positive_tests.png neil@ogedei:/var/www/scripts.njae.me.uk/covid/ \n",
- "!scp tests_and_cases.png neil@ogedei:/var/www/scripts.njae.me.uk/covid/\n",
- "!scp deaths_by_date_last_6_weeks.png neil@ogedei:/var/www/scripts.njae.me.uk/covid/\n",
- "!scp fraction_positive_tests_vs_tests.png neil@ogedei:/var/www/scripts.njae.me.uk/covid/\n",
- "!scp tests_vs_fraction_positive_animation.png neil@ogedei:/var/www/scripts.njae.me.uk/covid/ \n",
- "!scp people_in_hospital.png neil@ogedei:/var/www/scripts.njae.me.uk/covid/\n",
- "!scp cases_admissions_deaths.png neil@ogedei:/var/www/scripts.njae.me.uk/covid/"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 216,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "with open('uk_covid_deaths.js', 'w') as f:\n",
- " f.write(f\"document.write('{total_uk_deaths}');\")\n",
- " \n",
- "with open('uk_deaths_30_days.js', 'w') as f:\n",
- " f.write(f\"document.write('{deaths_in_past_month}');\")\n",
- "\n",
- "with open('uk_cases_30_days.js', 'w') as f:\n",
- " f.write(f\"document.write('{cases_in_past_month}');\") \n",
- " \n",
- "# with open('estimated_total_deaths.js', 'w') as f:\n",
- "# f.write(f\"document.write('{uk_deaths_to_date:.0f}');\")\n",
- "\n",
- "# edut = pd.to_datetime(excess_deaths_data[\"end_date\"]).strftime('%d %B %Y')\n",
- "# with open('excess_deaths_upto.js', 'w') as f:\n",
- "# f.write(f\"document.write('{edut}');\")\n",
- " \n",
- "with open('last_uk_date.js', 'w') as f:\n",
- " f.write(f\"document.write('{pd.to_datetime(last_uk_date).strftime('%d %B %Y')}');\")\n",
- "\n",
- "with open('last_intl_date.js', 'w') as f:\n",
- " f.write(f\"document.write('{pd.to_datetime(last_intl_date).strftime('%d %B %Y')}');\")\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 217,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# pd.to_datetime(excess_deaths_upto).strftime('%d %B %Y')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 218,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "uk_covid_deaths.js 100% 25 2.0KB/s 00:00 \n",
- "uk_deaths_30_days.js 100% 24 1.2KB/s 00:00 \n",
- "uk_cases_30_days.js 100% 26 21.3KB/s 00:00 \n",
- "last_uk_date.js 100% 34 2.4KB/s 00:00 \n",
- "last_intl_date.js 100% 34 3.8KB/s 00:00 \n",
- "hospital_normalisation_date.js 100% 33 29.1KB/s 00:00 \n"
- ]
- }
- ],
- "source": [
- "!scp uk_covid_deaths.js neil@ogedei:/var/www/scripts.njae.me.uk/covid/\n",
- "!scp uk_deaths_30_days.js neil@ogedei:/var/www/scripts.njae.me.uk/covid/\n",
- "!scp uk_cases_30_days.js neil@ogedei:/var/www/scripts.njae.me.uk/covid/\n",
- "# !scp estimated_total_deaths.js neil@ogedei:/var/www/scripts.njae.me.uk/covid/\n",
- "# !scp excess_deaths_upto.js neil@ogedei:/var/www/scripts.njae.me.uk/covid/\n",
- "!scp last_uk_date.js neil@ogedei:/var/www/scripts.njae.me.uk/covid/\n",
- "!scp last_intl_date.js neil@ogedei:/var/www/scripts.njae.me.uk/covid/\n",
- "!scp hospital_normalisation_date.js neil@ogedei:/var/www/scripts.njae.me.uk/covid/"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": []
- }
- ],
- "metadata": {
- "jupytext": {
- "formats": "ipynb,md"
- },
- "kernelspec": {
- "display_name": "Python 3",
- "language": "python",
- "name": "python3"
- },
- "language_info": {
- "codemirror_mode": {
- "name": "ipython",
- "version": 3
- },
- "file_extension": ".py",
- "mimetype": "text/x-python",
- "name": "python",
- "nbconvert_exporter": "python",
- "pygments_lexer": "ipython3",
- "version": "3.8.5"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
+++ /dev/null
-{
- "cells": [
- {
- "cell_type": "code",
- "execution_count": 1,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "import itertools\n",
- "import collections\n",
- "import json\n",
- "import pandas as pd\n",
- "import numpy as np\n",
- "from scipy.stats import gmean\n",
- "import datetime\n",
- "\n",
- "import matplotlib as mpl\n",
- "import matplotlib.pyplot as plt\n",
- "import matplotlib.animation as ani\n",
- "%matplotlib inline"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": 372,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " % Total % Received % Xferd Average Speed Time Time Time Current\n",
- " Dload Upload Total Spent Left Speed\n",
- "100 175 0 175 0 0 1367 0 --:--:-- --:--:-- --:--:-- 1367\n"
- ]
- }
- ],
- "source": [
- "# !curl \"https://api.coronavirus.data.gov.uk/v1/data?filters=areaName=United%2520Kingdom;areaType=overview&structure=%7B%22areaType%22:%22areaType%22,%22areaName%22:%22areaName%22,%22areaCode%22:%22areaCode%22,%22date%22:%22date%22,%22plannedCapacityByPublishDate%22:%22plannedCapacityByPublishDate%22,%22capacityPillarOne%22:%22capacityPillarOne%22,%22capacityPillarTwo%22:%22capacityPillarTwo%22,%22capacityPillarThree%22:%22capacityPillarThree%22,%22capacityPillarFour%22:%22capacityPillarFour%22,%22capacityPillarOneTwo%22:%22capacityPillarOneTwo%22,%22newTestsByPublishDate%22:%22newTestsByPublishDate%22,%22newPillarOneTestsByPublishDate%22:%22newPillarOneTestsByPublishDate%22,%22newPillarTwoTestsByPublishDate%22:%22newPillarTwoTestsByPublishDate%22,%22newPillarThreeTestsByPublishDate%22:%22newPillarThreeTestsByPublishDate%22,%22newPillarFourTestsByPublishDate%22:%22newPillarFourTestsByPublishDate%22,%22newPillarOneTwoTestsByPublishDate%22:%22newPillarOneTwoTestsByPublishDate%22,%22cumTestsByPublishDate%22:%22cumTestsByPublishDate%22,%22cumPillarOneTwoTestsByPublishDate%22:%22cumPillarOneTwoTestsByPublishDate%22%7D&format=csv\" | gunzip > tests_and_cases.csv"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "https://coronavirus.data.gov.uk/api/v1/data?filters=areaName=United%2520Kingdom;areaType=overview&structure=%7B%22areaType%22:%22areaType%22,%22areaName%22:%22areaName%22,%22areaCode%22:%22areaCode%22,%22date%22:%22date%22,%22newVirusTests%22:%22newVirusTests%22,%22cumVirusTests%22:%22cumVirusTests%22%7D&format=csv"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 413,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " % Total % Received % Xferd Average Speed Time Time Time Current\n",
- " Dload Upload Total Spent Left Speed\n",
- "100 20547 100 20547 0 0 98783 0 --:--:-- --:--:-- --:--:-- 98783\n"
- ]
- }
- ],
- "source": [
- "!curl \"https://api.coronavirus.data.gov.uk/v2/data?areaType=overview&metric=newTestsByPublishDate&metric=cumTestsByPublishDate&format=csv\" > tests_and_cases.csv"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 414,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# !curl \"https://api.coronavirus-staging.data.gov.uk/v1/data?filters=areaName=United%2520Kingdom;areaType=overview&structure=%7B%22areaType%22:%22areaType%22,%22areaName%22:%22areaName%22,%22areaCode%22:%22areaCode%22,%22date%22:%22date%22,%22plannedCapacityByPublishDate%22:%22plannedCapacityByPublishDate%22,%22newTestsByPublishDate%22:%22newTestsByPublishDate%22,%22cumTestsByPublishDate%22:%22cumTestsByPublishDate%22%7D&format=csv\" | gunzip > tests_and_cases.csv"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 415,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "chart_start_date = '2020-09-15'"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 416,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "date,areaType,areaCode,areaName,newTestsByPublishDate,cumTestsByPublishDate\n",
- "\"2020-12-15\",overview,K02000001,United Kingdom,,\n",
- "\"2020-12-14\",overview,K02000001,United Kingdom,277944,48488168\n",
- "\"2020-12-13\",overview,K02000001,United Kingdom,312638,48209087\n",
- "\"2020-12-12\",overview,K02000001,United Kingdom,359457,47209531\n",
- "\"2020-12-11\",overview,K02000001,United Kingdom,395510,47536955\n",
- "\"2020-12-10\",overview,K02000001,United Kingdom,404236,47141344\n",
- "\"2020-12-09\",overview,K02000001,United Kingdom,372446,46730999\n",
- "\"2020-12-08\",overview,K02000001,United Kingdom,297220,46344703\n",
- "\"2020-12-07\",overview,K02000001,United Kingdom,218055,46047237\n"
- ]
- }
- ],
- "source": [
- "!head tests_and_cases.csv"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 417,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "raw_data = pd.read_csv('tests_and_cases.csv', \n",
- " parse_dates=[3], dayfirst=True,\n",
- " )"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 418,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "date object\n",
- "areaType object\n",
- "areaCode object\n",
- "areaName object\n",
- "newTestsByPublishDate float64\n",
- "cumTestsByPublishDate float64\n",
- "dtype: object"
- ]
- },
- "execution_count": 418,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "raw_data.dtypes"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 419,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
- " .dataframe tbody tr th:only-of-type {\n",
- " vertical-align: middle;\n",
- " }\n",
- "\n",
- " .dataframe tbody tr th {\n",
- " vertical-align: top;\n",
- " }\n",
- "\n",
- " .dataframe thead th {\n",
- " text-align: right;\n",
- " }\n",
- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>areaType</th>\n",
- " <th>areaCode</th>\n",
- " <th>areaName</th>\n",
- " <th>newTestsByPublishDate</th>\n",
- " <th>cumTestsByPublishDate</th>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>date</th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <td>2020-03-31</td>\n",
- " <td>overview</td>\n",
- " <td>K02000001</td>\n",
- " <td>United Kingdom</td>\n",
- " <td>11896</td>\n",
- " <td>155174</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-04-01</td>\n",
- " <td>overview</td>\n",
- " <td>K02000001</td>\n",
- " <td>United Kingdom</td>\n",
- " <td>11947</td>\n",
- " <td>167237</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-04-02</td>\n",
- " <td>overview</td>\n",
- " <td>K02000001</td>\n",
- " <td>United Kingdom</td>\n",
- " <td>13623</td>\n",
- " <td>182352</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-04-03</td>\n",
- " <td>overview</td>\n",
- " <td>K02000001</td>\n",
- " <td>United Kingdom</td>\n",
- " <td>14629</td>\n",
- " <td>223578</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-04-04</td>\n",
- " <td>overview</td>\n",
- " <td>K02000001</td>\n",
- " <td>United Kingdom</td>\n",
- " <td>16080</td>\n",
- " <td>239658</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-12-10</td>\n",
- " <td>overview</td>\n",
- " <td>K02000001</td>\n",
- " <td>United Kingdom</td>\n",
- " <td>404236</td>\n",
- " <td>47141344</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-12-11</td>\n",
- " <td>overview</td>\n",
- " <td>K02000001</td>\n",
- " <td>United Kingdom</td>\n",
- " <td>395510</td>\n",
- " <td>47536955</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-12-12</td>\n",
- " <td>overview</td>\n",
- " <td>K02000001</td>\n",
- " <td>United Kingdom</td>\n",
- " <td>359457</td>\n",
- " <td>47209531</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-12-13</td>\n",
- " <td>overview</td>\n",
- " <td>K02000001</td>\n",
- " <td>United Kingdom</td>\n",
- " <td>312638</td>\n",
- " <td>48209087</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-12-14</td>\n",
- " <td>overview</td>\n",
- " <td>K02000001</td>\n",
- " <td>United Kingdom</td>\n",
- " <td>277944</td>\n",
- " <td>48488168</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "<p>259 rows × 5 columns</p>\n",
- "</div>"
- ],
- "text/plain": [
- " areaType areaCode areaName newTestsByPublishDate \\\n",
- "date \n",
- "2020-03-31 overview K02000001 United Kingdom 11896 \n",
- "2020-04-01 overview K02000001 United Kingdom 11947 \n",
- "2020-04-02 overview K02000001 United Kingdom 13623 \n",
- "2020-04-03 overview K02000001 United Kingdom 14629 \n",
- "2020-04-04 overview K02000001 United Kingdom 16080 \n",
- "... ... ... ... ... \n",
- "2020-12-10 overview K02000001 United Kingdom 404236 \n",
- "2020-12-11 overview K02000001 United Kingdom 395510 \n",
- "2020-12-12 overview K02000001 United Kingdom 359457 \n",
- "2020-12-13 overview K02000001 United Kingdom 312638 \n",
- "2020-12-14 overview K02000001 United Kingdom 277944 \n",
- "\n",
- " cumTestsByPublishDate \n",
- "date \n",
- "2020-03-31 155174 \n",
- "2020-04-01 167237 \n",
- "2020-04-02 182352 \n",
- "2020-04-03 223578 \n",
- "2020-04-04 239658 \n",
- "... ... \n",
- "2020-12-10 47141344 \n",
- "2020-12-11 47536955 \n",
- "2020-12-12 47209531 \n",
- "2020-12-13 48209087 \n",
- "2020-12-14 48488168 \n",
- "\n",
- "[259 rows x 5 columns]"
- ]
- },
- "execution_count": 419,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "tests_data = raw_data.dropna().astype({'newTestsByPublishDate': np.int64, 'cumTestsByPublishDate': np.int64}).set_index('date').sort_index()\n",
- "tests_data"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 420,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<matplotlib.axes._subplots.AxesSubplot at 0x7f488e22a1d0>"
- ]
- },
- "execution_count": 420,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
- "image/png": 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- "<Figure size 432x288 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "tests_data.newTestsByPublishDate.plot()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 421,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# data_by_day.newAdmissions.dropna()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 422,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
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- "[350 rows x 12 columns]"
- ]
- },
- "execution_count": 422,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "data_by_day = pd.read_csv('data_by_day_uk.csv', index_col='dateRep', parse_dates=True)\n",
- "data_by_day"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 423,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "cases 651.000000\n",
- "deaths 41.000000\n",
- "cases_culm 285539.000000\n",
- "deaths_culm 40532.000000\n",
- "cases_diff 34.000000\n",
- "deaths_diff -56.000000\n",
- "cases_m7 640.714286\n",
- "deaths_m7 51.428571\n",
- "deaths_g4 45.868305\n",
- "deaths_g7 45.798566\n",
- "doubling_time 612.853155\n",
- "doubling_time_7 613.785835\n",
- "Name: 2020-07-03 00:00:00, dtype: float64"
- ]
- },
- "execution_count": 423,
- "metadata": {},
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- }
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- "source": [
- "data_by_day.loc['2020-07-03']"
- ]
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- "\n",
- " cases_m7 deaths_m7 deaths_g4 deaths_g7 doubling_time \\\n",
- "dateRep \n",
- "2019-12-31 0.000000 0.000000 0.000000 0.000000 NaN \n",
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- "source": [
- "# data_by_day.loc['2020-07-03', 'cases'] = 576\n",
- "data_by_day"
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- },
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- "cell_type": "code",
- "execution_count": 425,
- "metadata": {
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- "outputs": [],
- "source": [
- "data_by_day = data_by_day.merge(tests_data[['newTestsByPublishDate', 'cumTestsByPublishDate']], how='outer',\n",
- " left_index=True, right_index=True)"
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- "data_by_day['deaths_m7'] = data_by_day.deaths.transform(lambda x: x.rolling(7).mean())\n",
- "data_by_day['cases_m7'] = data_by_day.cases.transform(lambda x: x.rolling(7).mean())\n",
- "data_by_day['tests_m7'] = data_by_day.newTestsByPublishDate.transform(lambda x: x.rolling(7).mean())"
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- "execution_count": 427,
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- " <td>409.571429</td>\n",
- " <td>343.603005</td>\n",
- " <td>380.495816</td>\n",
- " <td>126.560073</td>\n",
- " <td>114.322369</td>\n",
- " <td>404236.0</td>\n",
- " <td>47141344.0</td>\n",
- " <td>329487.000000</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-12-11</td>\n",
- " <td>20964</td>\n",
- " <td>516</td>\n",
- " <td>1787783</td>\n",
- " <td>63082</td>\n",
- " <td>4386.0</td>\n",
- " <td>-17.0</td>\n",
- " <td>16235.571429</td>\n",
- " <td>424.142857</td>\n",
- " <td>420.064891</td>\n",
- " <td>392.657665</td>\n",
- " <td>104.437514</td>\n",
- " <td>111.703039</td>\n",
- " <td>395510.0</td>\n",
- " <td>47536955.0</td>\n",
- " <td>330972.142857</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-12-12</td>\n",
- " <td>21672</td>\n",
- " <td>424</td>\n",
- " <td>1809455</td>\n",
- " <td>63506</td>\n",
- " <td>708.0</td>\n",
- " <td>-92.0</td>\n",
- " <td>17003.285714</td>\n",
- " <td>412.714286</td>\n",
- " <td>514.093837</td>\n",
- " <td>383.080949</td>\n",
- " <td>85.970563</td>\n",
- " <td>115.254067</td>\n",
- " <td>359457.0</td>\n",
- " <td>47209531.0</td>\n",
- " <td>331435.142857</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-12-13</td>\n",
- " <td>21501</td>\n",
- " <td>520</td>\n",
- " <td>1830956</td>\n",
- " <td>64026</td>\n",
- " <td>-171.0</td>\n",
- " <td>96.0</td>\n",
- " <td>17855.000000</td>\n",
- " <td>430.285714</td>\n",
- " <td>496.234012</td>\n",
- " <td>398.139480</td>\n",
- " <td>89.778614</td>\n",
- " <td>111.813286</td>\n",
- " <td>312638.0</td>\n",
- " <td>48209087.0</td>\n",
- " <td>337080.285714</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-12-14</td>\n",
- " <td>18447</td>\n",
- " <td>144</td>\n",
- " <td>1849403</td>\n",
- " <td>64170</td>\n",
- " <td>-3054.0</td>\n",
- " <td>-376.0</td>\n",
- " <td>18023.000000</td>\n",
- " <td>417.857143</td>\n",
- " <td>357.762938</td>\n",
- " <td>372.146458</td>\n",
- " <td>124.672307</td>\n",
- " <td>119.867072</td>\n",
- " <td>277944.0</td>\n",
- " <td>48488168.0</td>\n",
- " <td>345635.857143</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "<p>350 rows × 15 columns</p>\n",
- "</div>"
- ],
- "text/plain": [
- " cases deaths cases_culm deaths_culm cases_diff deaths_diff \\\n",
- "2019-12-31 0 0 0 0 NaN NaN \n",
- "2020-01-01 0 0 0 0 0.0 0.0 \n",
- "2020-01-02 0 0 0 0 0.0 0.0 \n",
- "2020-01-03 0 0 0 0 0.0 0.0 \n",
- "2020-01-04 0 0 0 0 0.0 0.0 \n",
- "... ... ... ... ... ... ... \n",
- "2020-12-10 16578 533 1766819 62566 4297.0 -66.0 \n",
- "2020-12-11 20964 516 1787783 63082 4386.0 -17.0 \n",
- "2020-12-12 21672 424 1809455 63506 708.0 -92.0 \n",
- "2020-12-13 21501 520 1830956 64026 -171.0 96.0 \n",
- "2020-12-14 18447 144 1849403 64170 -3054.0 -376.0 \n",
- "\n",
- " cases_m7 deaths_m7 deaths_g4 deaths_g7 doubling_time \\\n",
- "2019-12-31 NaN NaN 0.000000 0.000000 NaN \n",
- "2020-01-01 NaN NaN 0.000000 0.000000 NaN \n",
- "2020-01-02 NaN NaN 0.000000 0.000000 NaN \n",
- "2020-01-03 NaN NaN 0.000000 0.000000 NaN \n",
- "2020-01-04 NaN NaN 0.000000 0.000000 NaN \n",
- "... ... ... ... ... ... \n",
- "2020-12-10 15366.142857 409.571429 343.603005 380.495816 126.560073 \n",
- "2020-12-11 16235.571429 424.142857 420.064891 392.657665 104.437514 \n",
- "2020-12-12 17003.285714 412.714286 514.093837 383.080949 85.970563 \n",
- "2020-12-13 17855.000000 430.285714 496.234012 398.139480 89.778614 \n",
- "2020-12-14 18023.000000 417.857143 357.762938 372.146458 124.672307 \n",
- "\n",
- " doubling_time_7 newTestsByPublishDate cumTestsByPublishDate \\\n",
- "2019-12-31 NaN NaN NaN \n",
- "2020-01-01 NaN NaN NaN \n",
- "2020-01-02 NaN NaN NaN \n",
- "2020-01-03 NaN NaN NaN \n",
- "2020-01-04 NaN NaN NaN \n",
- "... ... ... ... \n",
- "2020-12-10 114.322369 404236.0 47141344.0 \n",
- "2020-12-11 111.703039 395510.0 47536955.0 \n",
- "2020-12-12 115.254067 359457.0 47209531.0 \n",
- "2020-12-13 111.813286 312638.0 48209087.0 \n",
- "2020-12-14 119.867072 277944.0 48488168.0 \n",
- "\n",
- " tests_m7 \n",
- "2019-12-31 NaN \n",
- "2020-01-01 NaN \n",
- "2020-01-02 NaN \n",
- "2020-01-03 NaN \n",
- "2020-01-04 NaN \n",
- "... ... \n",
- "2020-12-10 329487.000000 \n",
- "2020-12-11 330972.142857 \n",
- "2020-12-12 331435.142857 \n",
- "2020-12-13 337080.285714 \n",
- "2020-12-14 345635.857143 \n",
- "\n",
- "[350 rows x 15 columns]"
- ]
- },
- "execution_count": 427,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "data_by_day"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 428,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "cases 6.870000e+02\n",
- "deaths 3.100000e+01\n",
- "cases_culm 2.778550e+05\n",
- "deaths_culm 3.987800e+04\n",
- "cases_diff -2.990000e+02\n",
- "deaths_diff -4.000000e+01\n",
- "cases_m7 9.542857e+02\n",
- "deaths_m7 7.314286e+01\n",
- "deaths_g4 5.932579e+01\n",
- "deaths_g7 6.469183e+01\n",
- "doubling_time 4.662707e+02\n",
- "doubling_time_7 4.276234e+02\n",
- "newTestsByPublishDate 1.029570e+05\n",
- "cumTestsByPublishDate 6.384549e+06\n",
- "tests_m7 1.172710e+05\n",
- "Name: 2020-06-22 00:00:00, dtype: float64"
- ]
- },
- "execution_count": 428,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "data_by_day.loc['2020-06-22']"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 429,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<matplotlib.axes._subplots.AxesSubplot at 0x7f488e16b710>"
- ]
- },
- "execution_count": 429,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
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\n",
- "text/plain": [
- "<Figure size 432x288 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "data_by_day[['cases_culm', 'cumTestsByPublishDate']].plot()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 430,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<matplotlib.axes._subplots.AxesSubplot at 0x7f488e143310>"
- ]
- },
- "execution_count": 430,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 432x288 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "data_by_day.loc['2020-04-01':, ['cases_culm', 'cumTestsByPublishDate']].plot()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 431,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<matplotlib.axes._subplots.AxesSubplot at 0x7f488d327a50>"
- ]
- },
- "execution_count": 431,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 432x288 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "data_by_day.loc['2020-04-15':'2020-08-26', ['cases', 'newTestsByPublishDate']].plot()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 432,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<matplotlib.axes._subplots.AxesSubplot at 0x7f488dadc250>"
- ]
- },
- "execution_count": 432,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 432x288 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "data_by_day.loc['2020-04-15':'2020-08-26', ['cases_m7', 'tests_m7']].plot()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 433,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "data_by_day['fraction_positive'] = data_by_day.cases / data_by_day.newTestsByPublishDate\n",
- "data_by_day['fraction_positive_m7'] = data_by_day.cases_m7 / data_by_day.tests_m7"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 434,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<matplotlib.axes._subplots.AxesSubplot at 0x7f488db37590>"
- ]
- },
- "execution_count": 434,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
- "image/png": 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VzTmsJvwa3D6/McUSDWV5LY5ZtungyQ5TCCG6ja6X6NuYR9+cIzDt0uXxH55i2apOvzjXWH2+X1wYQgjR23W5RG8+5s1YY3tD40NT0KJOX9PgZfmuEgC8PrkhK4QQQSV6pdRUpdQ2pdROpdT9bez/uVJqs1Jqg1LqM6XUgGb7fEqp3MCfxccMKIibsYBxQ9YWDlF9oeTwFMttB6vwa0iNduDx+YN5e0II0aMdM9ErpczAfGAakAlcp5TKbHXYOiBLaz0aeA94vNm+eq312MCf6ccM6Jg1+malGzBG9c1G9JsPGMuBjeobjdsriV4IIYIZ0U8Admqt87TWbuAtoMXaX1rrL7TWdYFvVwLH14ihmcYHYttL9GE2Y3vTFMuEDGNEH5g3v+VAFVEOC/3jnHikdCOEEEEl+r7AvmbfFwS2tec2YGmz7x1KqRyl1Eql1OXHDEgdvXTjsDSO6JvNpW+ohFqjEdTWA1UMT43CZjFJ6UYIIQgu0as2trU5VFZK3QBkAX9strl/YB3D2cCflVKD2zjvjsAvg5zi4mKuGNeXSYPj2wzG3rxGD5AQuCFbsgO/X7P1YDWZqVFYzSa8fi1PyAoher1gEn0B0K/Z92lAYeuDlFLnAw8C07XWDY3btdaFgf/mAV8C41qfq7V+TmudpbXOSkxM5KlZYzl3eHKbwYQ1n3UDxogeoHQH+8rrqHP7GJ4S2fSJQMo3QojeLphEnw1kKKUGKqVswLVAi9kzSqlxwLMYSb6o2fZYpZQ98HUCMBnYfCIBO6ytavTR/cARA/mr2FxYBcDw1Kim1amkfCOE6O2Omei11l7gLmAZsAV4R2u9SSn1sFKqcRbNH4EI4N1W0yhHADlKqfXAF8CjWusTSvRhtlazbkwmyLgQtn/Cql2HcNrMjEiNxGpuHNFLohdC9G5B9brRWi8BlrTa9lCzr89v57zlwKgTCbC1xpux9W7f4Y3DL4aN71C27TsmDpqA3WJuSvRuSfRCiF6uyz0ZeyxN8+i9zRL9kPPRJhsjq7/jzIwE4PDCJVKjF0L0dl2ue+Wx2C0mzCZFjcvbbGMkB+IncEXRt1T3twFgaazRy0NTQohertuN6E0mRWKEnaLqhhbb33DeQLyqYuDGPwNIjV4IIQK6XaIHSI6yc6jK1WLbWs9A/u28BJX9AhTmMjb3If5kfUZKN0KIXq/blW4AkqMc7CmtbbGtyuXhX/G3M7VsNSy8ln7VB0gyWdnWUAdEhSZQIYToArrpiN7BoaqWpZvKeg/WiFi4aB5UH8BrjcCuPNgPrg1RlEII0TV0yxF9SrSDynoPLo+vaRZOVb2H6DArjLoaPHVs1oM55aPLcB5YAVwc2oCFECKEuu2IHuBgpVGn9/s11Q1eohwWUApOuxlP4kg26XQiD64KZahCCBFy3TTR2wGabsjWuL1oDVFh1qZjbGYTK/2ZRJasA3dtm9cRQojeoFsm+pTGEX2VC6/PT2WdB4Aox+FEbzErPvGNx+x3w7IHQxKnEEJ0Bd0y0SdHG4l+4ep8Rv52GbuKa4CWI3qr2cRaPZQdGbfBmpdg+7KQxCqEEKHWLRN9pN1CmNXMyrwyXB4/ufsqAIgKO3xvubEFwsahd0NEMqxfGJJYhRAi1LploldKkRIY1QPsOBQY0Tcr3VgtRgsEtzZDxgWw83PweRFCiN6mWyZ6OHxDFmBHkbEgeHSr0g0EWiBkXGgsN7hPZuAIIXqfbpvozx+RzKysfoRZzewuMWbVtK7RA7h9GgadAyYr7JA6vRCi9+m2if72Mwfx2MzRpEQ78Pg0Shm1+0a25iN6RxQMmATb/x2qcIUQImS6baJvlBRplHAi7BZMpsPrmFtbtynOuAiKt0BFfqfHKIQQodTtE33jU7LNb8QCmE2t1owdepHx3x0yqhdC9C49INEbI/rmN2LBmJljM5uMGj1A/BCITZfyjRCi1+kBiT4wog87sj+b1azwNo7olTLKN7u/Bk99Z4YohBAh1XMSfavSDYDVYsLj8+Px+dFaw+BzwFsPhbmdHaYQQoRMj0n0rUs3YEyxrGnwcfojn/FhbiH0zTJ2FGR3ZohCCBFSQSV6pdRUpdQ2pdROpdT9bez/uVJqs1Jqg1LqM6XUgGb75iildgT+zOnI4OFwg7OoNhK9zWyiuKaBslo3eSW1EJFo1Okl0QshepFjJnqllBmYD0wDMoHrlFKZrQ5bB2RprUcD7wGPB86NA34DnA5MAH6jlIrtuPAhKcqOzWIiMdJ+xD6rWVFWa6xEVeMKtD9IGw8FOR0ZghBCdGnBjOgnADu11nlaazfwFjCj+QFa6y+01nWBb1cCaYGvLwI+1VqXaa3LgU+BqR0TusFhNbPozsncOHHAEfusZhNlNW4AahqMVsakjYfqQqjc35FhCCFElxVMou8L7Gv2fUFgW3tuA5Yez7lKqTuUUjlKqZzi4uIgQmops08U4fa2Zt2YKK1tTPSBEb3U6YUQvUwwiV61sU23eaBSNwBZwB+P51yt9XNa6yytdVZiYmIQIQXHalY0BJ6MrW4s3aSMBGWGQ9932OsIIURXFkyiLwD6Nfs+DShsfZBS6nzgQWC61rrheM49WRobm0GzRG+xQ9wgKN7aWWEIIURIBZPos4EMpdRApZQNuBZY3PwApdQ44FmMJF/UbNcy4EKlVGzgJuyFgW2donmibyrdACQOg+LtnRWGEEKE1DETvdbaC9yFkaC3AO9orTcppR5WSk0PHPZHIAJ4VymVq5RaHDi3DPgdxi+LbODhwLZOYbU0S/SuZok+YSiU7QKfp7NCEUKIkDnyDmYbtNZLgCWttj3U7Ovzj3Lui8CLPzTAE2EzH75FUNPgJb+0jue+2cVvBwzF4vdCWZ4xuhdCiB6s2z8ZezStSzf/3nyQ11fms1sFZn9KnV4I0Qv0mkQPsLfUmOq/2Z1sbJA6vRCiF+hViX5PqbHk4NYyP0T3lxG9EKJX6OGJvuU0/sa1ZXcW1UDCECjdGYqwhBCiU/XwRG+8vSiHcc+5sMLoQ7+zqAai06BK2iAIIXq+XpHo+8SEAeAPPJO7t7QWT0QfqC0Gb0N7pwshRI/QsxO9xSjdpEQ7mrb1jQnDr6HElGBskFG9EKKH69GJ3hYY0adGhzVtO31QHAB7PIFuydLFUgjRw/XoRN9Uumk2op+QbiT6XQ3RxgYZ0Qsherhekeibl276xTmJcVrZ5Y4xNlQWhCI0IYToND080Rs1+hinDafNDEBChJ2UKAf7qhWExcqIXgjR4/XwRG+8vUiHhYjAwiQJETaSoxwcqnJBVJrU6IUQPV6vSPQRdgsRDgtmkyLWaSMlysGBShdE95URvRCix+vRiT4+wobZpEiKshNptxAXbsNkUqREOyitbcAX2Udq9EKIHq9HJ/rzRyTz+X9NISnSQVSYlcQIO2DcnNUaauwp4KoAd22IIxVCiJMnqH703ZXZpBgQHw7ALy4c1rR+bEqUMQunzJJINEBVISRkhChKIYQ4uXp0om9uTL+Ypq+TA4n+EPEMBKN8I4leCNFD9ejSTXtSA/Pq93mNh6fkhqwQoifrlYk+xmnFZjGR544yNsgUSyFED9YrE71SipQoB/ur/RCeBFUy80YI0XP1ykQPxg3ZQ1WBufQyohdC9GC9NtFHhVmpdnkhSh6aEkL0bEEleqXUVKXUNqXUTqXU/W3sP0sptVYp5VVKzWy1z6eUyg38WdxRgZ+ocLuZWrfXWGlKRvRCiB7smNMrlVJmYD5wAVAAZCulFmutNzc7LB+4GfhFG5eo11qP7YBYO5TTZqG2wWeM6N3V4KoER3SowxJCiA4XzIh+ArBTa52ntXYDbwEzmh+gtd6jtd4A+E9CjCdFhN1Mndtr1OhBRvVCiB4rmETfF9jX7PuCwLZgOZRSOUqplUqpy9s6QCl1R+CYnOLi4uO49A/ntFmoc/vwRwbeitTphRA9VDCJXrWxTR/Ha/TXWmcBs4E/K6UGH3ExrZ/TWmdprbMSExOP49I/XLjd6E9f70w1NkhzMyFEDxVMoi8A+jX7Pg0oDPYFtNaFgf/mAV8C444jvpMmPNCfvtYSWDu2tnM+SQghRGcLJtFnAxlKqYFKKRtwLRDU7BmlVKxSyh74OgGYDGw++lmdI9xmJPoarwkcMVBTFOKIhBDi5Dhmotdae4G7gGXAFuAdrfUmpdTDSqnpAEqp8UqpAuBq4Fml1KbA6SOAHKXUeuAL4NFWs3VCpnFEX+f2QUSSjOiFED1WUN0rtdZLgCWttj3U7OtsjJJO6/OWA6NOMMaTIjywhmxNgxfCE6G2JMQRCSHEydFrn4x1No3ovRCeALVSuhFC9Ey9NtFHBGbd1Db4AiN6Kd0IIXqmXpvonYGbsbUNXqODZX05+DwhjkoIITper030jbNuat0+o3QDUqcXQvRIvTbROwOlm7rGm7Eg5RshRI/UaxO91WzCZjFR4/Ya0ytBEr0QokfqtYkejCmWdY03Y0ESvRCiR+rdid5uMXrSN9XoJdELIXqe3p3obRZj1o09Csx2SfRCiB6pdyd6u9logaCUUb6pkUQvhOh5enmiD4zoQZ6OFUL0WL060TttZuPJWICIZOlgKYTokXp1om+6GQsQmQLVB0MbkBBCnAS9O9EHlhMEjERfWww+b2iDEkKIDtarE73TbjbaFIOR6NFSpxdC9Di9OtFH2Cy4vX48Pj9EBtaOrT4Q2qCEEKKD9epE39STvsEXGNED1YdCGJEQQnS8Xp3oG3vSG/1uGhO9jOiFED1Lr070kQ4rANUuj/HAlDLJzBshRI/TqxN9VCDRV9V7wWwxFiCpkUQvhOhZenWij3QYNfpqV2BlqchkGdEL0QM1eH28k7MPv1+f8LVcHh/1jdOyu4mgEr1SaqpSaptSaqdS6v429p+llFqrlPIqpWa22jdHKbUj8GdORwXeEQ4n+sYplqlSoxeiB/pyWzG/fG8DG/dXnvC1fvneBu54LacDouo8lmMdoJQyA/OBC4ACIFsptVhrvbnZYfnAzcAvWp0bB/wGyAI0sCZwbnnHhH9iWtTowZh5s39tCCMSQpwMpTVuACrrT3xd6JV5pTis5hO+TmcKZkQ/Adiptc7TWruBt4AZzQ/QWu/RWm8A/K3OvQj4VGtdFkjunwJTOyDuDtE4oq9qPqKvLZZFwoXoYcrrjETf9On9ByqqdlFU3UBF4HrdRTCJvi+wr9n3BYFtwTiRc086h9WMzWKiqnFEH9UX0FBZENK4hBAdq7y2MdGf2CBuU2EVYAwOfR1Q7+8swSR61ca2YN9hUOcqpe5QSuUopXKKizu3J3yUw3L4t3ziMOO/xds6NQYhxMlVXmck+KaWJz/Q5kCiB6jqgDJQZwkm0RcA/Zp9nwYUBnn9oM7VWj+ntc7SWmclJiYGeemOEemwtpHot3RqDEKIk6ux1FJ1gqWb75vdzO2Ien9nCSbRZwMZSqmBSikbcC2wOMjrLwMuVErFKqVigQsD27qMSIfl8G9mRzRE9oGiraENSgjRocrqOq50ExlonVLRkxK91toL3IWRoLcA72itNymlHlZKTQdQSo1XShUAVwPPKqU2Bc4tA36H8csiG3g4sK3LiHRYWv7wk4bLiF6IHqYiULo5kZuxNQ1e8svqGD8wLnDN7nND9pjTKwG01kuAJa22PdTs62yMskxb574IvHgCMZ5UUQ4rRVUNhzckjoCcF8HvB1Ovfp5MiB6jvANG9HtKagE4tX8Mn28t6nGlmx4tsvnNWDBG9N56qNgTspiEEB3H59dNSflEbsbuLa0DYGy/WODwp4TuQBK9w3p4eiUYI3qQmTdC9BCV9R50YK7fiZRu9pQaI/pRadGAJPpuJdJhLCfo9QWe9UoaDsoMBd3rEWchRNsayzZmk2o30e8squaaZ1dQXN1wxL4Vu0pZsvEAe0pqSYq0Ex1mJdJuOWrppqC8jsc+2dohvXU6giT6QBuEpo909kjoexrs/iqEUQkhOkrjw1Kp0Y52a/TLd5WyencZr63Yc8S+v3+1i/vf38DO4hrS48MBiHZaqahv/2bs4vWF/P3LXeyvqD/h+DtCr0/0Ua0bmwEMOhv2rwHXiTdAEqK3qXN72VlUE+owmjQ+LNU/ztnuPPqCciMhv7EqHwt2nigAACAASURBVJenZWfKstoGqlxe1uVXMCDeCUCM00rlUUo3+8qMev6JPqDVUXp9om8c0bf4GDbobNB+2P1NSGISojt7efkepj/9bZdpEdBYuukf58Tt9dPgPbLFcEF5HTazidJaN//a0LKDbXnt4dyQnhAY0YdZjzqPvvHG7Yn21ukovT7RtzmiTxsPVifkfRmaoIToxg5Wuqhz+6jpIkmusXTTL84YjbcVV0F5PacPiiPWaWXN3paP+pTWHq7bN5ZuYsJsR51Hn1/WmOi7xg3bXp/oj2hVDGCx4UqbhHf7v2m6XS+ECErjbJSqECc5rTU3vLCKV5bvwWpWpEY7gLZH2QXl9fSLczIkKYIdhw6XnerdPlweP/HhNgDSE4xfFtFOa7s3Yz0+P4WB2nxHlG4e+OdGnvz3ic0ClETfxohea82zBzKwVO6Fkh2hCk2IbqkxAZ6MRH/DC6t4dcWeoI7dU1rHtztLKKx0EeO0NRvUtUy+tQ1eymrdpMWGMSQpkp3FNejAAK9xNP+TswfzyBWjyEyNAm8DE+q+4VcNf0O/OgM2t+wIs7+8nsaq1Yn21gH4ensxK3efWEOBoJ6M7clincZv6sJmd8ez95TzdkUm9zrAs3UJ1sShoQpPiG6nMdF3dH36UJWLb3eWEG43c9Ok9MOvV+ehrM7NwED9vFHOHiM5PjBtOLHhNiIdFix4qa5zwZ7vYfsnkJbF/qgzAM1gpwu7JYKKOg+ltW4SIuxN9fkB8eFckJkMrip4dQaXF66lzBSBLo1DvXMTTP8bnHojcLhsA22XiY6H1pri6gbC7Se20EmvT/TRTiun9o/how2F3HXuEJRSvLU6n0IS2OLvT9/vl2A982ehDlOIbqNpRN/BLQLW5VcAh2fIgPHU662vZLO7pJbsB8/HbDrcGX3N3nKiHBZ+fOYgTIc24Hr7crbZd2F+s7EcqwBNWkQ6C61OJi3ZzNbTHwX6s7OohoQIe9OIPs5pgT3fwn/+Dw5uYOXYR5m9Mo2vrz+DtCVz4JMHIHMGOKLY2yzRn2iNvrLeg9vnP+GHs3p96QbgylPT2H6ohk2FVdS5vXy88QCXjE7lM/84Ig7lQH2XWPlQiG7hZI3o1+0z/h02T/SvrdjDmr3llNW6WV9Q0eL4nL3lnDYgFpO3Dt67FYunmvm+GWweeidc+md4YB9c9zY+n5dM0x48yWMYtvrXvGGdR9h3j4PfT3mdmzRVTOZnN8PLl0DJNrjyOepHXIUfE4fqTXDB/4G7Gta9DhhTK20WE9Fh1nb/HxRXN/BO9r429zVXFHiAq6LO01RO+iEk0QOXjk7FZjbx/toC9pTU0eD1c8moVLZFTcaED3Z+FuoQhegWtNYnrUbfOKKvrPdQ5fLg9vp58tPtjE+PxaTgq22HFy2qqHOzs6iaG+1fwT8ugtJd1F+6gCe917BqwB3sTr+GWxdupaTvOTyd+Sbn+J/BcusSGHMd0aZ6xuxaAB/dQ2VlJa9YH8VxaC1MfQz+axuMvKrpxu7BSpfxgGW/ibBqAfi87C2tpX+ck6gwS7s3Y/+5toBfvr/hmA9UNTZcdPv81HuOnBYarF5fugGIcdqYNDieFbtKOX1gPGDMuY0YNIGy7yOJ3b4MNWpmiKMUouuraTi8xF5Hjui9Pj8bCipIjXZwoNLF/vJ6ymrdVLk8PDg4j0MV/8K6xgP+4TDmWr4ojOZ/La9z7valkDIKrliAY+jZwFKqXV5eXbGHz7cW8dfPdrAyr4KUhASUPQIuf4Zf7/uGW9wLuWLda1xpW0aUqQj/NYtQQ85piiclKpDoq1zGhsn3wFuzYd2r5Jdl0D/OyYFKV7ulm5IaI4Hnl9bRNyas3fddXONq+rq8zoPTdmTK/mZHcZvbm5NEH5CRFMGq3aXklxmNi/rFOslMi+OL9WO5YsenKJ8XzPK/S4ijaT7lsKNq9Fpr3lydj8tjfNJ+4dvd7CurY/XOQ7xo+xNjv1uLyxxJmdeKb9XXmHJeZJi/P5mWrejT56KmPgpKYcUYwP1780EOVrowKXh1xV4AnrvxtKbXG5wUyeN5V3HFxeOIWPJLFqnzuLxZkgfjgSmH1cTBysCIfNjFMGAy+vPfU1H7BKcPHEZNg7fdWTelNcYc/H3ldUwivt333ryFenmt+4hfCn6/5u6F66h3H320L6WbgIGJ4bg8flbvLiPSYSHaaSUxws5nvnGYXOWwb1WoQxSiy2ue6DtiRO/y+PjZ27k89OEmJg6K4+bJ6QDsK69n1MZHONe0Fi74Hfvv+J6pagET6/7MFk8Kad69rB37f01JvtHPzs/g+/1VlNS4+fXFI7CaFRdkJnPhKSlNx6THh3Og0oVr3K08MOBNFkTedURcSilSooxPF4ENMPUPUFfGf/lfMko3Dku7s26KAyP6fc1u3LalqFmTtbbm7W89WB3UjVoZogYMSogAjOZGjdO0EiJsfO0fjdcaieWbP8GAM1r8pRFCtNS8/8vx1OjdXj8LV+cz87Q0wu2H09Lc19fw1fZifnHhUO48ewhKgdNmImH1Y8zwfsL3A29h5OR7GAysfvB8lu8q4Vef9MHib+Ddyy484t/r5WP78sI3uzlQWc9Nk9I5b0QyfWIcLY5pfChqX1kduxtiiIloO+aUaAeHqg6XVkgdw8GxdzMz969srviYDfbJVDe0/f+gaUR/jERfXN2AUsZzm+VtPIm7Iq8UgNdvP50J89q/jiT6gEGJRnKvc/voF2v8oOMj7NTgZFPGTxiz+XHYvgyGTQ1lmEJ0aY2jzjCr+bhG9Eu/P8BvFm+iuLqBX1w0DDCeSv1qezF3nDWIu87NgPoKePdmVpqziaqq4V3/uZx9+SNN13BYzZw7PJlzhyfj92tMpiMHZSaT4h83Z1FV78VmMR0x9x6MOfNgPHBVWtvAsJTINmNOiXKQs7fljLzVA35M7JovOHPNQ0zq/xBfujLbPLdx2mb+MUf0LvrHOdlbWtfmyH3FrhLS452MT4876nWkdBOQFGkn3GY8lNA/0KEuIcJ4mGp10lWQMBSWPQDe7rNOpBCdrTHR94sLO6455Es3HgTgpe92UxboTbPtUDVaw7h+sVBXBm/MhD3fsjZ8Cg94bqPgR4+SGO1s83ptJflGqdFh7SZvgPTAv/+9pbWU13mIC7Q/aC0lOoyiqoYWPefzyxqY67kPf9rpXL33YdIbth0xLdLv181q9MeYdVPdQEaS8ZGidW8dn1+zancZkwa3X+NvJIk+QCnFwMCovl+sccMjwm7BZjFRUqfhoj9AWR6s+nsowxSiS2tK9LHttwRu7AXTmABrG7x8sa2IMzMSqPP4eOm73QBsOVAFwDi9Bf4+GQpzYeaLrB39G76OvJQ7pgw+Ke8hxmkjymFh28FqKurcxDnbSfRRdtw+P2XNEnB+WR0RkdGYr3+Lelss88zP42pomaCrXB68fk1cuI3i6oaj3kgtrmogLdaJ02Y+YkS/oaCCapeXiYMk0R+Xxjp9Y5c7pRSJEXbjxknG+TB0Knz5KGx4R5qdCdGGinoPFpMiudUiH+W1bmY9u4JdxTW8vfhj7n/8KSb+4TN2FlXz+dYiGrx+/ivLxh0pOzBveAu2LmFXwSHm2L8iadE1YA2D2z+FzOncd8FQPvuvKS1q+R0tPSGcjzYU4tcwfmDbZZGUaGNAeLDSxcaCSm78xyo27q+kf5wTHNHkZD7AKaa9eJfPb3FeSWA0P65fDGDMvGlLvdtHdYOXxEg7MWHWpr76jb7YWoRJwZShicd8P1Kjb6axXteY6AHiI2xNH7O49Cl492b454+hoQrG3x6CKIXouirrPcQ4rUQ6LFTVG/PV+0SHUdPgZdXuUjzv3MYNxZ9wgw1m1s/jleUp7CuvY274l4z94DnGNl7oLfg1JkzKD2mTYdbr4DQSrlIKh/XEer8cy4D4cDYUVBIfbmNSOyPm5g9Nrcgr5ZsdJQBceWpfAMr7T+Xfa97k/OWPwbgrITYdODyHflz/GD7bWsS+sjqGJh9ZSjoQmLqZHOUgxmmjstWKVp9tLeK0AbHEtPOJo7mgRvRKqalKqW1KqZ1Kqfvb2G9XSr0d2L9KKZUe2J6ulKpXSuUG/iwI5vVCZfrYPtx8RnpTz2mA+HBb0w+GqD5wy1IYOAU+exhqitu5khC9U2W9h6gwK1EOK26fn99/vIU/LttG9p4yLjJlM7z4E172TaPGGsefwl8jcd3fmJn3v/zK9zxkXMi6C97hrIan2HT2P3iDqbw28DGY81FTku8sjXX6i0elYjG3nSZTAom+sLKe1bvLsFuM4/oHBoqRYVYe8tyMVmZ49ix4dQZs/ZjSamOmzrj+sUD7N2Q3B0pXw1MiiQ1vOaI/WOliU2EV5w5PDur9HHNEr5QyA/OBC4ACIFsptVhrvbnZYbcB5VrrIUqpa4HHgFmBfbu01mPpBgYnRvDb6ae02JYQYWfLgerDG0xmuPiP8Pcz4LP/gxlPd3KUQnRdlXUeosOsTQv6uL1+th2qpqqmlrctb7DV34/feWaTNfEsRmY/wF1so8CUiGv4VYRd9TRDfBYK/vVvnj/Yh0WuG5g3fKTxb66TDQncAL1sTJ92j0mMsJMa7eDD3EI2FVZy59lDiHBYuGRUKmCsdXGQeDZNeZ7RZZ8YCxm9NZszwgdzm3kSI0ypOG1m9pW1fUN2U2EVVrMiIzmCmDAbWyqrmvZ9ua0IgAsG2eGje8Fz9Ju6wZRuJgA7tdZ5AEqpt4AZQPNEPwP4beDr94CnleoZE87jAx3stNY0vaXEYTDxJ7D8b3DazZCWFdIYhegqKus9JETYiAqztth+pusz+luLmeP+FT7MpJ51K75hmcx4t4wBA9KZf+2pAERaYURqFItyC7FZTO2WTU62i0elkhTpYEI79XkwZvZcndWPv35mrFkxaXA8k4ckNO2PCNxD2B99KqN/dAl5hyp4+m+Pc2ftR/yv9XX0q29wSeQ88ssS2rz+9/sryUiKxG4xH7FG7fqCCkaEVTB40WVQkQ+2I6eJtog1iPfcF2jeZq0gsK3NY7TWXqASmp7rHaiUWqeU+kopdWYQr9elJETY8Pg0VfUtZxBsGjKXensirg9/Dn5/iKITomspr3MHFvkwktzwlEgGxTu5zbyUqujhfOUfzaDEcOIjHZiHnM0rd1/CH2eObnGNKUMTsVtMvDhnPIMS23la6SSzmk1BTVu8JisNpcBiUozrH9NiX+tFjV5dtZ9/eidzvutRppmeRcUP5n7Xn6koOWhM7mg2Ktdas6mwipF9owBjMfKKek/TVM6C/QW8YH4EVVsKc/5lNFs7imASfVsj89ZTTto75gDQX2s9Dvg58KZSKuqIF1DqDqVUjlIqp7i4a9W9EyLsAJQ0Wzdy9e4yrvjHRn5dPRNH8Xpq1ywMVXhCdCnltW7iwm1EBVZzmjgonrn99jLMVIDjrHv40ZBEpo083G4gPsJ+REOu+y4Yyupfn8+PMtoe6XYlabFOLsxM5owhCUe8jxin8f+gvM5NTYOX99YUMDgwhdsf2QeufI4YfxlPV92NXvAjeKQvLLoTaks4WOWirNbNyL7RAAw0l3AJ31FWWoSvvpL7S35Nkq8IZr8NAyYZs5KOIphEXwD0a/7egML2jlFKWYBooExr3aC1LgXQWq8BdgFHLNektX5Oa52ltc5KTDz2VKHOFB94aKq0xo3Wmg/WFXD7K9mkxYXxoyvv5Ht/OqYv5oHHdYwrCdGzuTw+at0+4sJtpMU6jT4yQ2OYWTIfb2RfbGNm8vrtp/PfFw0/6nWsZhPRTutRj+lKnp59Ki/OObJ8G+mwEmm3UFhRz9KNB6hp8PL4zDGMTotmQLwT+p7Gx+NfoURH4fN6YOxs2PgevDqDbbv2AHBKnyjIeYkrVlzFX21PE/9MJurJ4QxjLyuznjKSfBCCqdFnAxlKqYHAfuBaYHarYxYDc4AVwEzgc621VkolYiR8n1JqEJAB5AUVWRfROKL/59oCHlmyhdx9FYztF8PfrhtHYqSdOxZdz6t18+C9W+Gq549ZKxOip2rsxRLrtJES7WDDby4i7OvfQ8l2TNe/DxZ7iCM8OaztzMoB6BsbRkF5PXarGZvFxLh+Mbxx++mYAvf7nOnjufTrR/hgxhnGLJxTroCF13L24okst8eTtHYqrH8DV78p/HjXZH47sgS7t4aHtvbjF2MuCzrGY47oAzX3u4BlwBbgHa31JqXUw0qp6YHD/gHEK6V2YpRoGqdgngVsUEqtx7hJO1drfWKr3HayvrFhOG1m3sreR1GVi8evGs0/f3IG/eKcOKxmavpM5oWIubB9Kbw4FU95AY8u3XrMZkVC9DSNrQsaWwaE1eQbExbGXGc8cNgLpcWGsb+ivmkxEpNJEemwNj3s1dhupWmK5ZDz4NZP+If9RqrtKVjWvwEjLsM0+x2W+0fy75Q7eD/1Pr7RY8hIDv7+RVAPTGmtlwBLWm17qNnXLuDqNs57H3g/6Gi6oCiHlewHz6fe4yMmzHrEnNrxA+N47Nsp3HTDOdg+uB3T/PFc5O7DJ9+fy5yfPoTN2X5PDSF6ktaJns9/ByYLnPebEEYVWn1jwliVZ4xtG+fmN5cWaLeyr6wOn1/zz7UFDEocyO8qp/G/l/ycYUNqICmTMLOFxEg7+WVGc7OBCeHH9dCYtEAIQrjdQkKEvc0HJyakx+HxadbYxsPtn7Kzz2Uo/Py49jmqnp4CNUUhiFiIztci0e9fC9+/D5N+ClGpIY4sdNJinVQ3eNlZVEP/uCPLuk6bkVv2ldXz5qq9/Pd7G5j9vLH2xfmZyZA6umnBo36xYeSX1bG+oILMPtHHFYck+hOUNSAOpSB7TxkkjeCV2Lu5yfQo8/s8irO2AN9LF0ND9bEvJEQ315TonVb4z2/AGQ+T7w1xVKHVNzBi9/p1U5/71kakRvLh+v08unQrQ5Mj8Po1GUkRTe2SG/WLc7I2v4JDVQ1MDmLqZ3OS6E9QtNPKsORII9EDWw9UMSI1iimXzOY2zy9Qpbtg6a9CHKUQJ195rRuTgugD38Lur+GsX4LjiNnUvUrzpf/6x7Wd6J+4egwTBsajlOLZG7N4/bbTefKaI5sJ9I9z4vYaz+w0fzArGNLUrAOMT4/jn2sLcHv9bD1YzTVZ/RjZNxrToLN4uXAbt+a+AWYrTLgDYgeCre0f+IHKerYeqOac4Umd/A6EOHFlgYelzN+/B2FxkHVrqEMKucYRPdCih1ZzyVEOXrllPA1ePw6ruc3FUICmBZHS450tGi8GQ0b0HWD8wDhq3T6WbTpIndvHiFTjBux1E/rzSN10DmbeCmtfM/rj/Gm4Ubtsw6NLt3L7qzk0eI++0K8QXVFZrZtYpxX2fAsDzwTLsbsq9nTx4TYcVhNmk2qR9FsLpiNnY3L/IQ+SSaLvAOPTjS50jQsmjEg1Pq5OGZqIMlt5KeIOGu7Mxn/lP4w+Oe/dapRzfIfbKjR4fXy+pQifX1NwjFVnhOiKymrdDLeXQ2U+pHe7bicnhVKKvjFh9I0JO+p8+2AMT4mkT7SDy0a332itPVK66QCp0WH0iwtjbX4FTpuZjCRjRB/psDJxUDwfbzzAJ5sUMWEpvHzTImKXz4OV83Ed2Iz5mldYUeijzu2lusFI/HtKahkcoh4fQvxQ5bUeptk2Gd+k/yi0wXQh541Ixus78YWKYsNtLH/gvB90riT6DjJ/9qnkl9UxPj2OMNvhj2AXZCbz0IebsFlMHKh0ceMra1n803k8mgO/2LuA0ifGs9pzDodUPHdYa6n3m9lXNBBGBNdnWoiuorTWzSjTRmO2TeLR2xz0Jr++eESoQ5BE31FGp8UwOi3miO1TT0nhzVX53HXuECrqPPzPou/5ZNNBnquZTFnSQG52vcovePfwCWao/uYjKJoCI6+CEZd24rsQ4khVLg/r91VwZsbhPlRltW4un/8dp/aP4a5zhzA4MQJfXRkj9HIYcQH0jC7lPYZqvUJ5qGVlZemcnJxQh3FSFFW5mPDIZwxKDCevuJb//HyKscBBTTHuuiqUM4b/ef49rnYvIsu6F6r2G8l+xjNgdYQ6fNFL3b1wHR+tL+T1204nIzkCm9nEqt1lzH19DRaTQmsflw11MnzXi/w/y8eoud9AyqhQh93rKKXWaK3bXBxDRvSdKCnKwfCUSLYerCYhwt7UspSIRGwRxmipLmUC9+3L4Jt7z4LvnoLP50FdKVz7pjRME51Ka822Q9X8a4PRrPaBDzZQWuPmtAGxnJZs5m7Lh9w16ACqIAfb3jqwQH6/GfSXJN/lSKLvZGcNTWTrwWomDoqjrUW4BsY7+XhDIW5twnbWf0NUX/jwp/D6TLj+HbBL7xxx8hWU13HxX76h3uMjwmbhwalDWPbRQn5mXkXy3nJOKdhHtKUSU8NIOG029eH9KCjYS79Lfhnq0EUbJNF3silDE3nu6zwmtrNEWnpCOH4N+8rr6BfrpGLwlSRdZYf3fwzPnwtXPg99usUSvKIb+9tnO3F5/FxzWh9u9P+LYV/dwbW2CjzWKDY2JLHOm87WEXdx52yjl2EYRg9y0TVJou9kZwyO56lZY5g2su1GT42LEr/wzW42H6hix6FqPrl3Gv1v/ADfP/8f6sWLMF3/Lgw8qzPDFj2Yz6/ZUVSNxWTCYTWx7WA1760t4M6scP6r4gHIXw5DpxpPuqZPYc68r6h2e/nj0NHHvrjoEiTRdzKlFFeMS2t3/6i+0dwyOZ2XvtuDzWzCalb87O11pERHkFP2G163/p4hb1yD6byHYPzt8vShOCGHqlzcvXAdq3cfXibCjI85Yd/xs53vg6cWrngWRs8CpbACZw5NYMnGg4ztd+QsM9E1SaLvYpRSPHRpJpmpUQyID2dXcQ0P/HMjMU4rV50xhjuyH+Jp898ZuewBWPcaXP4M9BkX6rBFiCzfVcKekjpmnpaGzXL4yUu/X/OPb3ez5UAVdquZSYPjmT7GeKLS5fGxqbCKU/vHcNsr2eQV1/LQpZkkRNiI3v8lWdv+RHjVLogbD5f9BZJPafGaN05Mx6RUyBbuFsdPEn0XpJTi6ixjmd7x6bEMT4lkRGoUDquZ/nFOLl0czttnV3L6pt/B8+fBj+6DyfeA4/h6VAfL5fEd1yIHonP4/Zr/fncD+yvqeeGbPN6ZO6lp6cv31xYwb8lmzossINGznw9zrPSL/DHjBqXy6Ecb+CY7m+mjkok9sJlXT7OTVb8CdmTD3u8gbhDMeh2GX9rmfPhJg+OZdJxtckVoyTz6bsbn11w+/zsOVrn47KdjiPriIVj/JljD4bQ5RtKPCK775cvf7WZDQSV/umZMmzOAAD7ecID73s5lyb1nNt0/EF3D8p0lzH5hFXMmDWDh6n2cn5nE/CsHc3DDf/j2k3c4U60nxX+w6XiXyYkpui/esnycqqHlxUxWiB8Mp94E438sJcFuSObR9yBmk+KRK0YxY/63/O7TQh65cj7LY68gecvLDF31LKx+gVznRNarEQwefQZnnXlOmyP9g5Uu/rB0Kw1eP2cNTeTycX2POMbj8/PHZVtx+/wsWrefX1w0rDPeojiGapeHb3aU8MG6/UQ6LDxwTgrn1vyLsG3/xPfoDlKVn4u1HV//yXDq/0K/0/nbB1+Sun8Z/V31bNODGT/5fF5YXsDFE8dw7qQJEJkKJvnU1lPJiL6bemLZNp7+Yifp8U72lBoLC6erA9xk/pTplpUkUHH44Nh040nFlDG444ZS4I/j+fUuvtxWzNAYBQ3VzL96GOHUU1VVgcdVS1y4nc+3l/LRhoOEORxUWpN45q4rUBHJ8nh7G7TW7X4q+iEq6zxc8+wKxvSL5qHLTiEisJj0vrI6bn8lh/JD+WSZtnFnQi4ja1eCz02RYxBbos/ENWAKmePPo1/i4Zuln205xG2v5GBSMO+KUVw3oT9ur79FXV90b0cb0Uui76Z8fs1tr2SzKq+MR64cyQWZKXyxtYjyOjdXn9YPX1Uh8/7xDn1dO7hpYDX1+etI9u4/8Re2OPDH9MeUfIrxyyN5FHmWgSxYU8uotBium9C/zbV1e4Iql4cwq7lFu1mPz88zX+zihW/ymDu5DyOTbNgsZiYNSTKeZG42StZa83b2PtblVzBpcDyXjemD2WT8ciitaeC2l1fTx+lj5inRrN6+l+yte0mnkOHOas7pb6H+0A7qq8oYoIpIVsYsGb8zEdPoa2DMtcbPo51fNh6fn9//azPnDE/i7GGysE1PJIm+h/L6/NQ0eIlxtl1PzSuuYcb876ht8GJSilmjY8m0F5ERVk1/SznJUWEoewTfl/j445f7cTijuGDsYOxhEWw/VM3I1HDOH5FEXX0d//38x2SGV3BKWDn+kl2MshaQ4j/U9FrlOpIyHYHPEcuQoadgih0AsQOMTxMxA9haH8n8r/Zit5j47XRjhNp8FOzx+flqWzEb9lfi92uuOS2N/oGVdhq8PuwWI2GW17rJK6mlT4wDr0+THOXApODD3ELC7WaSI2343fUcLC5h5fZ9DEyI4KYzR2AJi2zRQqLe7eOjDYXYzCbOGBJPjcvLwtX5nNInmstHJbD/QCE79+6jpq6ecIcNpxVeXLaa+DALo/pGsGv7FgZYyonwlpKkS8mwFJGoS478GZkdeMzhHHLbOWROpdxtwmnyYPG7SbJ7iDU3YPXVYvXWEoar3Z91vbaxj2RskYkk9h1A+MDToe9p0OfUpsWjRe92woleKTUV+AtgBl7QWj/aar8deBU4DSgFZmmt9wT2PQDcBviAe7TWy472WpLoO9YX24r4nw++5zeXZXLhKSntHldS00CUw9ruR/kVu0r5yRtrqHZ5uSYrjV1FtRQcOMAoyz6u6FPB2TFFHCwqorCwgKH2MmK8RVjwN53v1SbKiaJMR+I2OYihGptuwK582E1+8HswaR9m/FiUcV6dNZY65aTa5W2Ky+PTNP87azeD0+zD63ETb2zxvAAADJtJREFURgPhrW8yNjfgR1SnjOfb/AbWHnRT7zZez4yfMBrINO1hjCmPNHVkwm6LR9motcahIlOIThtBPql4LU4+33qIgxX/v71zj7KqquP45zszvGYYRsBREQaBBFlKqKC4NEstK7VaaplCLh9ppZmZuqzMXlarxzK1wkeKhBmVj9JVVCaZSqYmDWBCI4aEGhSKDAQMMMCMv/7Y+8r1NnfmAveee+fe32etWXPO3r9z9veefc7v7LOfW6ijnTq1M5CtjK7bzrDO1dT3E0Ma6mltF8+1vk6b9WeLavlvZz/ePmEMY5v2Y/kGsWKDeOehb6Fv4xg2DhhO88rNTBk9hPr+fXLS5lQee+ToJVUDy4B3A6uAZmCamT2XZnMJMNHMLpY0FTjdzM6SdDBwNzAF2B/4IzDOzLKuleeOvnR5dWM7bds63lgUJXXvpErlZsalP3+G3y1ZzcRhtVS3rWbA5pWM7dPKSSO2M2loB23rX2FN63ra++yF+g7glbbXebWtk+FD6zlwv71oGjKQrZ3w5PK1tL76b2rVTtPgWtp3dFJdJQYN6MPg2r607+jEzGh5pY0tHdWMHTaYEfsOZYv14/U+ddTW1bPP0CE0v7SOB59ZwZj+m5lWu4CaDS9SRdf3fMegkSytOpD5m/dj7KgDGN00nEED62jdtI2V6zcz+ZDxGNW0btnO6DHjoa4Rqv7/xbhmYzszn3iRM49oYunqjazZtI3zjxn1RjVNitRvqpJYt3k7jfX98pldToWxp47+aOBaM3tv3P8CgJl9O81mbrT5i6Qa4BWgEbg63TbdLlt67uh7N5u3dfD4stc48eB9qZLYsr2Dur41VFVlb6jsqiHTzPjp0y8zoG8NZ0zOPpJ4+Zo25r/YyrQjR2ZNY+HL67lo9gI2bN1BR2cnN394PO8bVw+qgqqa8L+6b9ZF2x2nN7Cn3SuHAyvT9lcBR2WzMbMOSRuAoTH86Yxj/78fn1M21PWr4eS37pzHJ5eqhq56q0jinKNH9XjsgfsM7LF//+QDBvPLi4/hoz9uZsLwBk6ZdKD3HHIqilwcfVdPROZnQDabXI5F0ieATwCMHDkyB0mOs2uM2ruOR648DqnrF4vjlDO59INbBTSl7Y8A/pPNJlbdNADrcjwWM5thZkeY2RGNjY2Z0Y6TF6qq5E7eqUhycfTNwFhJoyX1BaYCczJs5gDnxe0zgEctVP7PAaZK6idpNGHK6r/mR7rjOI6TCz1W3cQ690uBuYTulbPMrEXS14EFZjYH+BEwW9JyQkl+ajy2RdJ9wHNAB/Cp7nrcOI7jOPnHB0w5juOUAd31uinPseqO4zjOG7ijdxzHKXPc0TuO45Q57ugdx3HKnJJrjJW0CfhHDqYNwIYC2uwNrM3BrhCacrXL1FgKmtJtsukrVHq7Y5OuMck83pVr0Ifu87mYeQxd53Mp5TEEjTtKTFO6XT7y+CAzq+8yxsxK6o/QZTMXuxmFtMnUUej0dvNcPV6rImiakbbdpb5Cpbc7Nukak8zjXbkGPeVzMfM4Wz6XUh6nNJaapgLkcdZz9Oaqm98kaFOq6eXrPL35GvTW9EpRU7mnV4qa8n2uLinFqpsFlqUvaCXq6I5S11jq+sA15oNS1welrzEf+ro7RymW6GcUW0CkVHR0R6lrLHV94BrzQanrg9LXmA99Wc9RciV6x3EcJ7+UYonecRzHySPu6B3HccqcinP0kkzS7LT9GkmvSfptMXV1h6S2YmvoiZ40SponKfHGMEmnxzwfn3TauSLpi5JaJC2W9DdJmSu4FR1JIyT9WtILkv4p6Qdx2vJs9pdLSmRtxpi/N6TtXyXp2iTSzgVJnTFfWyQ9K+lKSYn63opz9MBmYIKkAXH/3cC/i6jHKSzTgCeIU2eXGnFN5vcDk8xsInAib166s+gorNbyAPArMxsLjAMGAt/s5rDLgaQW4d0GfFDS3gmlt6tsNbPDzOwQgr85BfhqkgIq0dED/B54X9yeBtydipA0RdJTkp6J/w+K4X+WdFia3ZOSJiYlWNLx6V8dkm6WdH7cfknS1yQtkrSkWKXX7jQWSc9A4G3AhURH38N1PEXS85KekDQ9oa+8YcBaM9sGYGZrzew/kiZL+pOkhZLmShoWNc6T9P14b/5d0pQENL4TaDezO6PGTuAK4AJJdZKuj/fdYkmflnQZsD/wmKTHEtDXQehxckVmhKQDJD0StT0iaaSkhvjMVEWbWkkrJfW8wPEeYmZrCMumXqpAtaTvSmqOGi9K0/65eF2flfSdPUm3Uh39PYSVr/oDE4H5aXHPA+8ws8OBrwDfiuEzgfMBJI0D+pnZ4sQU98xaM5sE/BC4qthiSoTTgIfMbBmwTtKkbIbxXrgdONnMjgWSWtPyD0CTpGWSbpV0XHQ4NwFnmNlkYBZvLj3XmdkxwCUxrtAcAixMDzCzjcC/gI8Bo4HD4xfJz8xsOmHJ0BPM7IQE9AHcApwtqSEj/GbgJyltwHQz2wA8CxwXbT4AzDWzHUkINbMVBN+7D6EQssHMjgSOBD6usJrfyYT79ygzOxS4bk/SrEhHHx30KEJp/sGM6AbgF5L+DnyPcJMD/AJ4f3wILwB+nIjY3Hkg/l9I+G1OyN974vY9cT8b44EVZvZi3L+7G9u8YWZtwGRCKe814F7gImAC8LCkvwFfIqy3nOLueOzjwCBJexVYpoCu+mELeAdwm5l1RE3rCqylS+KL5yfAZRlRRwM/j9uzgWPj9r3AWXF7atxPktTixe8Bzo35PB8YSlhy9UTgTjPbAnt+XXtcSrCMmQNcDxxPuLgpvgE8ZmanSxoFzAMwsy2SHgZOBc4Ekm5Y7ODNL+b+GfHb4v9OipevPWlMDElDCVUOEyQZYRnM1DrGXWks2qrhsSpkHjBP0hLgU0CLmR2d7ZAe9vNNC/Ch9ABJg4AmYEUC6efK94FFwJ3d2KS0zgG+LWkI4UX7aIG1vYGkMYTndA3hvvu0mc3NsDmJPF7XiizRR2YBXzezJRnhDexsnD0/I24mMB1oLkLJ5WXgYIWF1huAdyWcfi6UksYzCJ/sB5jZKDNrAlKl9a40Pg+MiS932FnaKyiSDpI0Ni3oMGAp0BgbapHUR9IhaTZnxfBjCZ/9ucyQuCc8AtRKOjemWw3cQPiq/QNwsaSaGDckHrMJ6HomxQIRn8n7CNUhKZ5iZ0P82YSG+dSX1F+BHwC/tYTWspbUCNwG3GxhtOpc4JOp9gFJ4yTVEa7rBYo9l9Ku625RsSV6M1tFyORMrgPuknQlGW95M1soaSPdlxjySnyAtpnZSoWF1hcDLwDPJKWhJ0pU4zQgswHrfuAjBGfwJo1mtlXSJcBDktYSnEASDARuitUvHcByQjXODGB6fBnVEEqrLfGY9ZKeAgYRqhELipmZpNOBWyV9mVBAfBC4hlAyHQcslrQDuINQLz4D+L2k1QnW00N4AV2atn8ZMEvSZwlVYx9Ni7uXUCV7fIE1DYhVM30IeTwbuDHGzSRUtS6SpKjxNDN7SKHzxwJJ29l5vXcLnwJhF5C0P+ETe7yZvZ5QmocCd5hZEr0rdoveoDEXJA00s7b4wN0CvGBm3yu2rnQkzQOuMrMFxdbi9B4quepml4ifrfOBLybo5C8mNLx9KYn0dofeoHEX+HgsebUQqvBuL7Iex8kLXqJ3HMcpcyqmRC+pSdJjkpYqDEX+TAwfIulhhaHdD0saHMPPjgMYFisMTjk07VwnSfqHpOWSri7Wb3Icx8mFiinRK4wsHGZmiyTVE/qbn0boWbPOzL4TnfZgM/u8pGOApWa2Pg5euNbMjoo9DpYRhjKvApqBaWb2XDF+l+M4Tk9UTInezFab2aK4vYnQhW04oV/8XdHsLoLzx8yeMrP1Mfxpdg5YmQIsN7MVZradMBDn1GR+heM4zq5TMY4+ndhX+nBC4+q+ZrYawsuAMCw5kwsJ8+NAeDmkTzq1KoY5juOUJBXXj15hoqv7gcvNbGPoSdet/QkER58aOt3VAZVR/+U4Tq+kokr0cfTZ/YSJl1Jzw7yqnTMDDiMMS07ZTyQMaDjVzFpj8CrC0O8UIwgTODmO45QkFePo4yCYHxEaWG9Mi5oDnBe3zwN+He1HEiYKOyfOfpiiGRgbZ5jrSxhePafQ+h3HcXaXSup1cyzwZ2AJkBrwdA2hnv4+YCRh2tUPm9k6STMJEzm9HG07zOyIeK5TCEPSq4FZZtbdAgyO4zhFpWIcveM4TqVSMVU3juM4lYo7esdxnDLHHb3jOE6Z447ecRynzHFH7ziOU+a4o3ccxylz3NE7juOUOe7oHcdxypz/AVUrqP/v8St+AAAAAElFTkSuQmCC\n",
- "text/plain": [
- "<Figure size 432x288 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "data_by_day[['fraction_positive', 'fraction_positive_m7']].dropna().plot()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 435,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# ax = data_by_day.dropna().loc['2020-06-15': , ['fraction_positive', 'fraction_positive_m7']].plot(figsize=(10, 8), title='Fraction of tests with positive results')\n",
- "# ax.legend(['Fraction positive per day', 'Fraction positive, 7 day moving average'])\n",
- "# ax.set_ylabel('Fraction positive')\n",
- "# plt.savefig('fraction_positive_tests.png')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 436,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "Text(0, 0.5, 'New cases')"
- ]
- },
- "execution_count": 436,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 720x576 with 2 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "pri_y_max = int((data_by_day.dropna().loc['2020-06-15': , 'tests_m7'].max() * 1.1) / 100 ) * 100\n",
- "ax = data_by_day.dropna().loc['2020-06-15': , 'tests_m7'].plot(figsize=(10, 8), \n",
- " style=['k-'], \n",
- " legend=False,\n",
- " ylim=(0, pri_y_max))\n",
- "ax.set_title('Tests done and new cases (7 day moving average)')\n",
- "ax.legend(['Tests, 7 day moving average'], loc='lower left')\n",
- "ax.set_ylabel('Tests')\n",
- "sec_y_max = int((data_by_day.dropna().loc['2020-06-15':, 'cases_m7'].max() * 1.1) / 100) * 100\n",
- "ax = data_by_day.dropna().loc['2020-06-15':, 'cases_m7'].plot(ax=ax, secondary_y=True, style='r--')\n",
- "ax.set_ylim((0, sec_y_max))\n",
- "ax.legend(['Cases (7 day moving average)'], loc='lower right')\n",
- "ax.set_ylabel('New cases')\n",
- "# plt.savefig('tests_and_cases.png')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 437,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 720x576 with 2 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "pri_y_max = int((data_by_day.loc[chart_start_date: , 'tests_m7'].max() * 1.1) / 100 ) * 100\n",
- "ax = data_by_day.loc[chart_start_date: , 'tests_m7'].plot(figsize=(10, 8), \n",
- " style=['k-'], \n",
- " legend=False,\n",
- " ylim=(0, pri_y_max))\n",
- "ax.set_title('Tests done and new cases (7 day moving average)')\n",
- "ax.legend(['Tests, 7 day moving average'], loc='lower left')\n",
- "ax.set_ylabel('Tests')\n",
- "sec_y_max = int((data_by_day.loc[chart_start_date:, 'cases_m7'].max() * 1.1) / 100) * 100\n",
- "ax = data_by_day.loc[chart_start_date:, 'cases_m7'].plot(ax=ax, secondary_y=True, style='r--')\n",
- "ax.set_ylim((0, sec_y_max))\n",
- "ax.legend(['Cases (7 day moving average)'], loc='lower right')\n",
- "ax.set_ylabel('New cases')\n",
- "plt.savefig('tests_and_cases.png')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 438,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
- " .dataframe tbody tr th:only-of-type {\n",
- " vertical-align: middle;\n",
- " }\n",
- "\n",
- " .dataframe tbody tr th {\n",
- " vertical-align: top;\n",
- " }\n",
- "\n",
- " .dataframe thead th {\n",
- " text-align: right;\n",
- " }\n",
- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>cases_m7</th>\n",
- " <th>cases</th>\n",
- " <th>tests_m7</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <td>2020-12-05</td>\n",
- " <td>14447.285714</td>\n",
- " <td>16298</td>\n",
- " <td>320410.142857</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-12-06</td>\n",
- " <td>14399.857143</td>\n",
- " <td>15539</td>\n",
- " <td>327945.142857</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-12-07</td>\n",
- " <td>15130.714286</td>\n",
- " <td>17271</td>\n",
- " <td>328166.000000</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-12-08</td>\n",
- " <td>15471.857143</td>\n",
- " <td>14718</td>\n",
- " <td>325637.285714</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-12-09</td>\n",
- " <td>15307.857143</td>\n",
- " <td>12281</td>\n",
- " <td>327912.714286</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-12-10</td>\n",
- " <td>15366.142857</td>\n",
- " <td>16578</td>\n",
- " <td>329487.000000</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-12-11</td>\n",
- " <td>16235.571429</td>\n",
- " <td>20964</td>\n",
- " <td>330972.142857</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-12-12</td>\n",
- " <td>17003.285714</td>\n",
- " <td>21672</td>\n",
- " <td>331435.142857</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-12-13</td>\n",
- " <td>17855.000000</td>\n",
- " <td>21501</td>\n",
- " <td>337080.285714</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-12-14</td>\n",
- " <td>18023.000000</td>\n",
- " <td>18447</td>\n",
- " <td>345635.857143</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " cases_m7 cases tests_m7\n",
- "2020-12-05 14447.285714 16298 320410.142857\n",
- "2020-12-06 14399.857143 15539 327945.142857\n",
- "2020-12-07 15130.714286 17271 328166.000000\n",
- "2020-12-08 15471.857143 14718 325637.285714\n",
- "2020-12-09 15307.857143 12281 327912.714286\n",
- "2020-12-10 15366.142857 16578 329487.000000\n",
- "2020-12-11 16235.571429 20964 330972.142857\n",
- "2020-12-12 17003.285714 21672 331435.142857\n",
- "2020-12-13 17855.000000 21501 337080.285714\n",
- "2020-12-14 18023.000000 18447 345635.857143"
- ]
- },
- "execution_count": 438,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "data_by_day[['cases_m7', 'cases', 'tests_m7']].tail(10)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 439,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# ax = (data_by_day.dropna().loc[chart_start_date: , ['fraction_positive', 'fraction_positive_m7']] * 100).plot(figsize=(10, 8), \n",
- "# style=['b:', 'k-'], legend=False)\n",
- "# ax.set_title('Fraction of tests with positive results')\n",
- "# ax.legend(['Fraction positive (%)', 'Fraction positive (%), 7 day moving average'], loc='upper left')\n",
- "# ax.set_ylabel('Fraction positive')\n",
- "# cases_axis_max = 1.0 * data_by_day.dropna().loc[chart_start_date:].cases_m7.max() * data_by_day.dropna().loc[chart_start_date:].fraction_positive.max() / data_by_day.dropna().loc[chart_start_date:].fraction_positive_m7.max()\n",
- "\n",
- "# ax2 = ax.twinx()\n",
- "# ax2 = data_by_day.dropna().loc[chart_start_date:, 'cases_m7'].plot(ax=ax2, secondary_y=True, style='r--')\n",
- "# ax2.set_ylim(-1000, cases_axis_max)\n",
- "# ax2.legend(['Cases (7 day moving average)'], loc='center left')\n",
- "# ax2.set_ylabel('New cases')\n",
- "# plt.savefig('fraction_positive_tests.png')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 440,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 720x576 with 3 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "ax = (data_by_day.loc[chart_start_date: , ['fraction_positive', 'fraction_positive_m7']] * 100).plot(figsize=(10, 8), \n",
- " style=['b:', 'k-'], legend=False)\n",
- "ax.set_title('Fraction of tests with positive results')\n",
- "ax.legend(['Fraction positive (%)', 'Fraction positive (%), 7 day moving average'], loc='upper left')\n",
- "ax.set_ylabel('Fraction positive')\n",
- "cases_axis_max = 1.0 * data_by_day.loc[chart_start_date:].cases_m7.max() * data_by_day.loc[chart_start_date:].fraction_positive.max() / data_by_day.loc[chart_start_date:].fraction_positive_m7.max()\n",
- "\n",
- "ax2 = ax.twinx()\n",
- "ax2 = data_by_day.loc[chart_start_date:, 'cases_m7'].plot(ax=ax2, secondary_y=True, style='r--')\n",
- "ax2.set_ylim(-1000, cases_axis_max)\n",
- "ax2.legend(['Cases (7 day moving average)'], loc='center left')\n",
- "ax2.set_ylabel('New cases')\n",
- "plt.savefig('fraction_positive_tests.png')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 441,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 576x576 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "ax = data_by_day.dropna().loc[chart_start_date:].plot(x='fraction_positive_m7', y='tests_m7', \n",
- " figsize=(8, 8),\n",
- " legend=None)\n",
- "ax.set_xlabel(\"Fraction of tests that are positive\")\n",
- "ax.set_ylabel(\"Number of tests\")\n",
- "for d in data_by_day.dropna().loc[chart_start_date::15].index:\n",
- " ax.plot(data_by_day.loc[d, 'fraction_positive_m7'], data_by_day.loc[d, 'tests_m7'], 'o', \n",
- " markersize=8)#, markerfacecolor=marker_col, markeredgecolor=marker_col)\n",
- " ax.text(data_by_day.loc[d, 'fraction_positive_m7'] + 0.0002, data_by_day.loc[d, 'tests_m7'], \n",
- " s = d.strftime(\"%d %B %Y\"))\n",
- "plt.savefig('fraction_positive_tests_vs_tests.png')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 442,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
- " .dataframe tbody tr th:only-of-type {\n",
- " vertical-align: middle;\n",
- " }\n",
- "\n",
- " .dataframe tbody tr th {\n",
- " vertical-align: top;\n",
- " }\n",
- "\n",
- " .dataframe thead th {\n",
- " text-align: right;\n",
- " }\n",
- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>cases</th>\n",
- " <th>deaths</th>\n",
- " <th>cases_culm</th>\n",
- " <th>deaths_culm</th>\n",
- " <th>cases_diff</th>\n",
- " <th>deaths_diff</th>\n",
- " <th>cases_m7</th>\n",
- " <th>deaths_m7</th>\n",
- " <th>deaths_g4</th>\n",
- " <th>deaths_g7</th>\n",
- " <th>doubling_time</th>\n",
- " <th>doubling_time_7</th>\n",
- " <th>newTestsByPublishDate</th>\n",
- " <th>cumTestsByPublishDate</th>\n",
- " <th>tests_m7</th>\n",
- " <th>fraction_positive</th>\n",
- " <th>fraction_positive_m7</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <td>2020-06-15</td>\n",
- " <td>890</td>\n",
- " <td>27</td>\n",
- " <td>271175</td>\n",
- " <td>39366</td>\n",
- " <td>-162.0</td>\n",
- " <td>-80.0</td>\n",
- " <td>1019.428571</td>\n",
- " <td>106.714286</td>\n",
- " <td>73.233216</td>\n",
- " <td>88.710020</td>\n",
- " <td>372.942855</td>\n",
- " <td>307.937760</td>\n",
- " <td>101337.0</td>\n",
- " <td>5552801.0</td>\n",
- " <td>125823.571429</td>\n",
- " <td>0.008783</td>\n",
- " <td>0.008102</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-06-16</td>\n",
- " <td>822</td>\n",
- " <td>29</td>\n",
- " <td>271997</td>\n",
- " <td>39395</td>\n",
- " <td>-68.0</td>\n",
- " <td>2.0</td>\n",
- " <td>1033.857143</td>\n",
- " <td>104.142857</td>\n",
- " <td>57.557803</td>\n",
- " <td>82.797182</td>\n",
- " <td>474.765799</td>\n",
- " <td>330.146725</td>\n",
- " <td>122435.0</td>\n",
- " <td>5675283.0</td>\n",
- " <td>124299.714286</td>\n",
- " <td>0.006714</td>\n",
- " <td>0.008317</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " cases deaths cases_culm deaths_culm cases_diff deaths_diff \\\n",
- "2020-06-15 890 27 271175 39366 -162.0 -80.0 \n",
- "2020-06-16 822 29 271997 39395 -68.0 2.0 \n",
- "\n",
- " cases_m7 deaths_m7 deaths_g4 deaths_g7 doubling_time \\\n",
- "2020-06-15 1019.428571 106.714286 73.233216 88.710020 372.942855 \n",
- "2020-06-16 1033.857143 104.142857 57.557803 82.797182 474.765799 \n",
- "\n",
- " doubling_time_7 newTestsByPublishDate cumTestsByPublishDate \\\n",
- "2020-06-15 307.937760 101337.0 5552801.0 \n",
- "2020-06-16 330.146725 122435.0 5675283.0 \n",
- "\n",
- " tests_m7 fraction_positive fraction_positive_m7 \n",
- "2020-06-15 125823.571429 0.008783 0.008102 \n",
- "2020-06-16 124299.714286 0.006714 0.008317 "
- ]
- },
- "execution_count": 442,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "data_by_day.dropna().loc['2020-06-15':][:2]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 443,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "image/png": 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slCRJmjmTOaxwLPBS4H6Adhvl3YbZKUmSNHMmEw4eqqqfjr1IMheo4XVJkiTNpMmEg68l+QCwY5JXA58H/m643ZIkSTNlMuHgeGAtcAPwu8BFVfVHQ+2VJEmaMZO5z8G72o2P/maskOTdrSZJkmaZyew5WDJO7c2buR+SJOkxYr17DpIcCfw2sHeS5QOLngD8cNgdkyRJM2NDhxX+D3AH8GTgLwfqDwDXD7NTkiRp5qw3HFTV9+iewPhfpq87kiRppk3mnANJkrQVMRxIkqSe9YaDJJe2vydPX3ckSdJM29AJibsneTnw+iTLgAwurKqrh9ozSZI0IzYUDj5Ed3fEBcAp6ywr4MBhdUqSJM2cDV2tcB5wXpI/rqqPTGOfJEnSDJrwhMSq+kiS1yf5izb96mQ2nGSHJFckuS7JqiQntfreSVYmuSXJ55Js1+rbt9er2/KFA9s6odVvTnLwQH1xq61OcvxAfdz3kCRJE5swHCT5M+DdwDfb9O5Wm8hDwIFV9XxgP2BxkgOAk4FTq2oRcA9wdGt/NHBPVT0TOLW1I8k+wBHAvsBi4JNJ5iSZA3wCeA2wD3Bka8sG3kOSJE1gMpcyvg54dVWdWVVn0n1Bv26ilarzo/Zy2zaNnatwXqsvBQ5t84e017Tlr0ySVl9WVQ9V1XeA1cD+bVpdVbdW1U+BZcAhbZ31vYckSZrAZO9zMG9gfufJbrz9wr8WuBNYAfwrcG9VPdyarAH2aPN7ALcBtOX3AbsO1tdZZ331XTfwHpIkaQKTeWTznwHXJLmM7nLGXwZOmMzGq+oRYL8k84AvAM8Zr1n7m/UsW199vGCzofb/jyTHAMcA7LXXXuM1kSRpqzOZExL/FjgAuKBN/6Wqlm3Mm1TVvcBX23bmJRkLJQuA29v8GmBPgLZ8Z+Duwfo666yvftcG3mPdfp1RVSNVNTJ//vyNGZIkSbPWpA4rVNUdVbW8qi6sqn+fzDpJ5rc9BiTZEXgVcBNwGXBYa7YEuLDNL2+vacu/UlXV6ke0qxn2BhYBVwBXAovalQnb0Z20uLyts773kCRJE5jMYYVNtTuwtF1VsA1wblV9Kck3gWVJPgpcA3ymtf8M8Nkkq+n2GBwBUFWrkpxLd6XEw8Cx7XAFSd4JXALMAc6sqlVtW+9fz3tIkqQJpPuhrZGRkRodHZ3pbkiSNC2SXFVVI+Mt2+BhhSTbJLlxON2SJEmPRRsMB1X1KHBdEk/llyRpKzGZcw52B1YluQL48Vixql4/tF5JkqQZM5lwcNLQeyFJkh4zJgwHVfW1JE8DFlXVPyZ5HN3VAZIkaRaazIOX3k73nIJPt9IewBeH2SlJkjRzJnMTpGOBlwL3A1TVLcBuw+yUJEmaOZMJBw+1px4CP7u1sTdHkCRplppMOPhakg8AOyZ5NfB54O+G2y1JkjRTJhMOjgfWAjcAvwtcBHxwmJ2SJEkzZzJXKzyaZCmwku5wws3lPZclSZq1JgwHSV4HfAr4VyDA3kl+t6ouHnbnJEnS9JvMTZD+EnhFVa0GSPIM4O8Bw4EkSbPQZM45uHMsGDS3AncOqT+SJGmGrXfPQZLfaLOrklwEnEt3zsHhwJXT0DdJkjQDNnRY4dcG5n8AvLzNrwV2GVqPJEnSjFpvOKiqt0xnRyRJ0mPDZK5W2Bt4F7BwsL2PbJYkaXaazNUKXwQ+Q3dXxEeH2x1JkjTTJhMOflJVpw29J5Ik6TFhMuHgr5KcCHwZeGisWFVXD61XkiRpxkwmHPwi8CbgQH5+WKHaa0mSNMtMJhz8OvD0wcc2S5Kk2Wsyd0i8Dpg37I5IkqTHhsnsOXgK8K0kV9I/58BLGSVJmoUmEw5OHHovJEnSY8aE4aCqvjYdHZEkSY8Nk7lD4gN0VycAbAdsC/y4qp44zI5JkqSZMZk9B08YfJ3kUGD/ofVIkiTNqMlcrdBTVV/EexxIkjRrTeawwm8MvNwGGOHnhxkkSdIsM5mrFX5tYP5h4LvAIUPpjSRJmnGTOefgLdPREUmS9Niw3nCQ5EMbWK+q6iND6I8kSZphG9pz8ONxajsBRwO7AoYDSZJmofWGg6r6y7H5JE8A3g28BVgG/OX61pMkSVu2DZ5zkORJwH8D3ggsBV5YVfdMR8ckSdLM2NA5Bx8HfgM4A/jFqvrRtPVKkiTNmA3dBOm9wFOBDwK3J7m/TQ8kuX96uidJkqbbhs452Oi7J0qSpC2fAUCSJPUYDiRJUo/hQJIk9RgOJElSj+FAkiT1DC0cJNkzyWVJbkqyKsm7W32/JJcnuTbJaJL9Wz1JTkuyOsn1SV44sK0lSW5p05KB+ouS3NDWOS1JWv1JSVa09iuS7DKscUqSNNsMc8/Bw8B7q+o5wAHAsUn2Af4cOKmq9gM+1F4DvAZY1KZjgNPhZ3dpPBF4MbA/cOLAl/3pre3Yeotb/Xjg0qpaBFzaXkuSpEkYWjioqjuq6uo2/wBwE7AHUMATW7Odgdvb/CHA2dW5HJiXZHfgYGBFVd3dbt28Aljclj2xqr5RVQWcDRw6sK2lbX7pQF2SJE1gg89W2FySLAReAKwEjgMuSfIXdOHkJa3ZHsBtA6utabUN1deMUwd4SlXdAV1ISbLbevp1DN2eB/baa69NG5wkSbPM0E9ITPJ44HzguKq6H3gH8J6q2hN4D/CZsabjrF6bUJ+0qjqjqkaqamT+/Pkbs6okSbPWUMNBkm3pgsE5VXVBKy8BxuY/T3ceAXS//PccWH0B3SGHDdUXjFMH+EE77ED7e+fmGI8kSVuDYV6tELq9AjdV1SkDi24HXt7mDwRuafPLgaPaVQsHAPe1QwOXAAcl2aWdiHgQcElb9kCSA9p7HQVcOLCtsasalgzUJUnSBIZ5zsFLgTcBNyS5ttU+ALwd+Kskc4Gf0I75AxcBrwVWAw8CbwGoqruTfAS4srX7cFXd3ebfAZwF7Ahc3CaAjwHnJjka+D5w+DAGKEnSbJTuRH+NjIzU6OjoTHdDkqRpkeSqqhoZb5l3SJQkST2GA0mS1GM4kCRJPYYDSZLUYziQJEk9hgNJktRjOJAkST2GA0mS1GM4kCRJPYYDSZLUYziQJEk9hgNJktRjOJAkST2GA0mS1GM4kCRJPYYDSZLUYziQJEk9hgNJktRjOJAkST2GA0mS1GM4kCRJPYYDSZLUYziQJEk9hgNJktRjOJAkST2GA0mS1GM4kCRJPYYDSZLUYziQJEk9hgNJktRjOJAkST2GA0mS1GM4kCRJPYYDSZLUYziQJEk9hgNJktRjOJAkST2GA0mS1GM4kCRJPYYDSZLUYziQJEk9hgNJktRjOJAkST2GA0mS1DO0cJBkzySXJbkpyaok7x5Y9q4kN7f6nw/UT0iyui07eKC+uNVWJzl+oL53kpVJbknyuSTbtfr27fXqtnzhsMYpSdJsM8w9Bw8D762q5wAHAMcm2SfJK4BDgOdV1b7AXwAk2Qc4AtgXWAx8MsmcJHOATwCvAfYBjmxtAU4GTq2qRcA9wNGtfjRwT1U9Ezi1tZMkSZMwtHBQVXdU1dVt/gHgJmAP4B3Ax6rqobbszrbKIcCyqnqoqr4DrAb2b9Pqqrq1qn4KLAMOSRLgQOC8tv5S4NCBbS1t8+cBr2ztJUnSBKblnIO2W/8FwErgWcDL2u7+ryX5z63ZHsBtA6utabX11XcF7q2qh9ep97bVlt/X2q/br2OSjCYZXbt27VSHKUnSrDD0cJDk8cD5wHFVdT8wF9iF7lDD+4Bz26/68X7Z1ybUmWDZzwtVZ1TVSFWNzJ8/f8KxSJK0NRhqOEiyLV0wOKeqLmjlNcAF1bkCeBR4cqvvObD6AuD2DdTvAuYlmbtOncF12vKdgbs37+gkSZqdhnm1QoDPADdV1SkDi75Id64ASZ4FbEf3Rb8cOKJdabA3sAi4ArgSWNSuTNiO7qTF5VVVwGXAYW27S4AL2/zy9pq2/CutvSRJmsDciZtsspcCbwJuSHJtq30AOBM4M8mNwE+BJe2Le1WSc4Fv0l3pcGxVPQKQ5J3AJcAc4MyqWtW2935gWZKPAtfQhRHa388mWU23x+CIIY5TkqRZJf6g7oyMjNTo6OhMd0OSpGmR5KqqGhlvmXdIlCRJPYYDSZLUYziQJEk9hgNJktRjOJAkST2GA0mS1GM4kCRJPYYDSZLUYziQJEk9hgNJktRjOJAkST2GA0mS1GM4kCRJPYYDSZLUYziQJEk9hgNJktRjOJAkST2GA0mS1GM4kCRJPYYDSZLUYziQJEk9hgNJktRjOJAkST2GA0mS1GM4kCRJPYYDSZLUYziQJEk9hgNJktRjOJAkST2GA0mS1GM4kCRJPYYDSZLUYziQJEk9hgNJktRjOJAkST2GA0mS1GM4kCRJPYYDSZLUYziQJEk9hgNJktRjOJAkST2GA0mS1GM4kCRJPYYDSZLUM7RwkGTPJJcluSnJqiTvXmf5HySpJE9ur5PktCSrk1yf5IUDbZckuaVNSwbqL0pyQ1vntCRp9SclWdHar0iyy7DGKUnSbDPMPQcPA++tqucABwDHJtkHuuAAvBr4/kD71wCL2nQMcHpr+yTgRODFwP7AiQNf9qe3tmPrLW7144FLq2oRcGl7LUmSJmFo4aCq7qiqq9v8A8BNwB5t8anAHwI1sMohwNnVuRyYl2R34GBgRVXdXVX3ACuAxW3ZE6vqG1VVwNnAoQPbWtrmlw7UJUnSBKblnIMkC4EXACuTvB74t6q6bp1mewC3Dbxe02obqq8Zpw7wlKq6A7qQAuy2nn4dk2Q0yejatWs3YWSSJM0+Qw8HSR4PnA8cR3eo4Y+AD43XdJxabUJ90qrqjKoaqaqR+fPnb8yqkiTNWkMNB0m2pQsG51TVBcAzgL2B65J8F1gAXJ3kF+h++e85sPoC4PYJ6gvGqQP8oB12oP29c/OOTJKk2WuYVysE+AxwU1WdAlBVN1TVblW1sKoW0n3Bv7Cq/h1YDhzVrlo4ALivHRK4BDgoyS7tRMSDgEvasgeSHNDe6yjgwvb2y4GxqxqWDNQlSdIE5g5x2y8F3gTckOTaVvtAVV20nvYXAa8FVgMPAm8BqKq7k3wEuLK1+3BV3d3m3wGcBewIXNwmgI8B5yY5mu6KiMM316AkSZrt0p3or5GRkRodHZ3pbkiSNC2SXFVVI+Mt8w6JkiSpx3AgSZJ6DAeSJKnHcCBJknoMB5IkqcdwIEmSegwHkiSpx3AgSZJ6DAeSJKnHcCBJknoMB5IkqcdwIEmSegwHkiSpx3AgSZJ6DAeSJKnHcCBJknoMB5IkqcdwIEmSegwHkiSpx3AgSZJ6DAeSJKnHcCBJknoMB5IkqcdwIEmSegwHkiSpx3AgSZJ6DAeSJKnHcCBJknoMB5IkqcdwIEmSegwHkiSpx3AgSZJ6DAeSJKnHcCBJknoMB5IkqcdwIEmSegwHkiSpx3AgSZJ6DAeSJKnHcCBJknoMB5IkqcdwIEmSegwHkiSpx3AgSZJ6DAeSJKlnaOEgyZ5JLktyU5JVSd7d6h9P8q0k1yf5QpJ5A+uckGR1kpuTHDxQX9xqq5McP1DfO8nKJLck+VyS7Vp9+/Z6dVu+cFjjlCRpthnmnoOHgfdW1XOAA4Bjk+wDrACeW1XPA74NnADQlh0B7AssBj6ZZE6SOcAngNcA+wBHtrYAJwOnVtUi4B7g6FY/Grinqp4JnNraSZKkSRhaOKiqO6rq6jb/AHATsEdVfbmqHm7NLgcWtPlDgGVV9VBVfQdYDezfptVVdWtV/RRYBhySJMCBwHlt/aXAoQPbWtrmzwNe2dpLkqQJTMs5B223/guAlesseitwcZvfA7htYNmaVltffVfg3oGgMVbvbastv6+1X7dfxyQZTTK6du3aTRmaJEmzztDDQZLHA+cDx1XV/QP1P6I79HDOWGmc1WsT6hvaVr9QdUZVjVTVyPz589c/CEmStiJzh7nxJNvSBYNzquqCgfoS4FeBV1bV2Jf2GmDPgdUXALe3+fHqdwHzksxtewcG249ta02SucDOwN2bc2ySJM1Ww7xaIcBngJuq6pSB+mLg/cDrq+rBgVWWA0e0Kw32BhYBVwBXAovalQnb0Z20uLyFisuAw9r6S4ALB7a1pM0fBnxlIIRIkrPnUvoAAAuoSURBVKQNGOaeg5cCbwJuSHJtq30AOA3YHljRzhG8vKp+r6pWJTkX+Cbd4YZjq+oRgCTvBC4B5gBnVtWqtr33A8uSfBS4hi6M0P5+Nslquj0GRwxxnJIkzSrxB3VnZGSkRkdHZ7obkiRNiyRXVdXIeMu8Q6IkSeoxHEiSpB4PKzRJ1gLfm+l+bGZPpruqY2uytY15axsvbH1j3trGC1vfmGdqvE+rqnGv4zcczGJJRtd3PGm22trGvLWNF7a+MW9t44Wtb8yPxfF6WEGSJPUYDiRJUo/hYHY7Y6Y7MAO2tjFvbeOFrW/MW9t4Yesb82NuvJ5zIEmSetxzIEmSegwHkiSpx3CwhUqyOMnNSVYnOX6c5dsn+VxbvjLJwlZ/dZKrktzQ/h443X3fFFMY7/5Jrm3TdUl+fbr7vqk2dcwDy/dK8qMkfzBdfZ6KKXzGC5P8x8Dn/Knp7vummspnnOR5Sb6RZFX773mH6ez7ppjCZ/zGgc/32iSPJtlvuvu/KaYw5m2TLG2f7U1JTpjWjleV0xY20T2A6l+BpwPbAdcB+6zT5veBT7X5I4DPtfkXAE9t888F/m2mxzPk8T4OmNvmdwfuHHv9WJ6mMuaB5ecDnwf+YKbHM+TPeCFw40yPYZrHPBe4Hnh+e70rMGemxzSs8a7T5heBW2d6PNPwGf82sKzNPw74LrBwuvrunoMt0/7A6qq6tap+CiwDDlmnzSHA0jZ/HvDKJKmqa6rq9lZfBeyQZPtp6fWmm8p4H6yqh1t9B2BLOQN3k8cMkORQ4Fa6z3hLMKXxbqGmMuaDgOur6jqAqvphtafYPoZtrs/4SOBvh9rTzWcqYy5gpyRzgR2BnwL3T0+3PaywpdoDuG3g9ZpWG7dN+3K8j+7XxaDfBK6pqoeG1M/NZUrjTfLiJKuAG4DfGwgLj2WbPOYkO9E9zvykaejn5jLV/03vneSaJF9L8rJhd3YzmcqYnwVUkkuSXJ3kD6ehv1O1uf5/6w1sOeFgKmM+D/gxcAfwfeAvquruYXd4zNzpeiNtVuP9Wlr3F/EG2yTZFziZ7hfIY92UxltVK4F9kzwHWJrk4qr6yWbu4+Y2lTGfBJxaVT/agn5YT2W8dwB7VdUPk7wI+GKSfatq2n5lbaKpjHku8EvAfwYeBC5N9/jdSzdvFzerzfH/Wy8GHqyqGzdnx4ZoKmPeH3gEeCqwC/DPSf6xqm7dvF0cn3sOtkxrgD0HXi8Abl9fm7Zbamfg7vZ6AfAF4Kiq+teh93bqpjTeMVV1E10Sf+7Qerr5TGXMLwb+PMl3geOADyR557A7PEWbPN6qeqiqfghQVVfRHeN91tB7PHVT+YzXAF+rqruq6kHgIuCFQ+/x1GyO/46PYMvZawBTG/NvA/9QVf+3qu4Evg5M2/MXDAdbpiuBRUn2TrId3X8wy9dpsxxY0uYPA75SVZVkHvD3wAlV9fVp6/HUTGW8e7f/4EjyNOA/0Z3Y81i3yWOuqpdV1cKqWgj8f8CfVtX/mK6Ob6KpfMbzk8wBSPJ0YBHd+RaPdZs8ZuAS4HlJHtf+9/1y4JvT1O9NNZXxkmQb4HC64/ZbiqmM+fvAgensBBwAfGua+u3VClvqBLwW+Dbdr6Q/arUPA69v8zvQnam+GrgCeHqrf5Du1/O1A9NuMz2eIY73TXQn5V0LXA0cOtNjGfaY19nGn7AFXK0wxc/4N9tnfF37jH9tpscyHZ8x8Dtt3DcCfz7TY5mG8f4KcPlMj2G6xgw8vtVX0QW/901nv719siRJ6vGwgiRJ6jEcSJKkHsOBJEnqMRxIkqQew4EkSeoxHEibKMkj6zwpbuFm2OahSfYZeP3hJK+a6nYneM+/TXJ9kvdsqC8buc39krx2I9rPS/L7A69/JcmXNvI935zkqRuzzkwa/GyTHJfkcQPLLmr3JJFmhOFA2nT/UVX7DUzfHVw4dvOljXQo8LMv5Kr6UFX94xT7uV5JfgF4SVU9r6pO3VBfNtJ+dNd3T9Y8uqfTTcWb6W41u0k28fPaZOt8tsfRPXlvbNlrq+re6eyPNMhwIG1G7dfr55P8HfDlJI9Pcml7OM4NSQ4ZaHtU+8V+XZLPJnkJ8Hrg421PxDOSnJXksNb+le3hQjckOTPtaZpJvpvkpIH3ePY4/dohyf9qy69J8oq26MvAbu39XjbQfry+PCPJPyS5Ksk/j71PksOT3NjG8U/tTnAfBt7Q1n1DkpcP7GG5JskT1unix4BntOUfb7XHJzkvybeSnJP87ImTH0pyZXvPM9od5A6ju7XsOW0bO64z/re3da5Lcv7Yr/T273tKksuAk5Ps1P5tr2z9XPcJemN7Nf4pyReSfDPJp9LdvY8kR7Z/4xuTnNxqc9r73NiWvWfgvQ9L8l/pQs1lrR9jn+mTk5y8zh6VP0ny3jb/vtbP65NsSQ/Z0pZgpu8e5eS0pU50D0UZu8vkF1rtzXT3Sn9Sez0XeGKbfzLdXdAC7AvcDDy5LRtrfxZw2MB7nEV3S9Ud6J7c9qxWPxs4rs1/F3hXm/994H+O09f3Av+rzT+b7tasOwALgRvXM751+3IpsKjNv5juNq/QPe1yjzY/b+Df4X8MrPt3wEvb/OOBueu8V68fdHfDu4/uXvTbAN8Afmnw36rNf5Z2R0Tgq8DIesay68D8Rwf+vc4CvgTMaa//FPidsbHQ3dlup3W29SvAT4CnA3OAFe0zemr7d53fPvev0O19eRGwYmD9eQPvfdjAZ/jkgTbfpfvfywvonqEwVv8msBfdA9POoPvf0jZtDL880/9NOM2eyT0H0qYbPKzw6wP1FfXzR6sG+NMk1wP/SPd41qcABwLnVdVdADXxo1j/E/Cdqvp2e70U+OWB5Re0v1fRfdGu65fovkipqm8B32MjHk6U5PHAS4DPJ7kW+DSwe1v8deCsJG+n+7Icz9eBU9qv5Hk1ucdmX1FVa6rqUboAtrDVX5FkZZIb6P4d953Etp7b9nbcALxxnXU+X1WPtPmDgOPbGL9KF6D2Wk/fbm3r/S0/f0LiV6tqbRvfOXSf0a3A05P8dZLFwKSfFllV19Dt2XlqkucD91TV91s/DwKuobtl9LPpnikhbRY+slna/H48MP9Gul+SL6qq/5vuSYk70IWGjbl3+UTPXn6o/X2E8f+7nuqzm7cB7q2q/dZdUFW/l+5Ruq8Drk0yXpuPJfl7uvMQLk/yqhZSNuShgflHgLlJdgA+SbeH4LYkf0L37zmRs+ieq3FdkjfT/fofM/h5BfjNqrp5gu2t+9kV6/k3rqp72hf7wcCxwG8Bb51En8ecR7dn4hf4+UOHAvxZVX16I7YjTZp7DqTh2hm4swWDVwBPa/VLgd9KsitAkie1+gPAusfjoXsa28Ikz2yv3wR8bSP68U90QYUkz6L7NTzRF+DP+lJV9wPfSXJ420baFx5JnlFVK6vqQ8BddI+f7Y2jtbmhqk4GRul+6Y77XhMYCwJ3tb0Zh01yG08A7kiyLe3fYT0uAd41cH7DC9bTbv90T9rbBngD8C/ASuDl7VyBOcCRwNeSPBnYpqrOB/6Y8R+tvKG+L6N7mt9hdEFhrJ9vbf8GJNkjyW4bGJe0UQwH0nCdA4wkGaX7UvoWQFWtAv473ZfHdcAprf0y4H3tZLhnjG2kqn4CvIVut/4NwKPApzaiH58E5rR1Pwe8uaoemmCddfvyRuDo1t9VwNjJeh8fOwmPLoRcB1wG7NNODnwDcFw7Ie864D+AiwffqKp+CHy9tfk461HdGfx/Q3eewxfpHok75izgU+OdkEj3pbyS7vyADe2x+AiwLXB9G89H1tPuG3QnUd4IfIfunJM7gBPa2K8Drq6qC+kOJX21Hao4q7VZ1xnAxWMnJK4z5lV0weHf2ntQVV8G/jfwjfaZnsfkwpU0KT6VUZI2QpJfoXsM9q/OdF+kYXHPgSRJ6nHPgSRJ6nHPgSRJ6jEcSJKkHsOBJEnqMRxIkqQew4EkSer5/wEl38gC30kfagAAAABJRU5ErkJggg==\n",
- "text/plain": [
- "<Figure size 576x576 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "fig = plt.figure(figsize=(8, 8))\n",
- "plt.ylabel('Number of tests')\n",
- "plt.xlabel('Fraction of tests that are positive')\n",
- "all_data = data_by_day.dropna().loc[chart_start_date:]\n",
- "\n",
- "\n",
- "minx = all_data.fraction_positive_m7.min() * 0.9\n",
- "maxx = all_data.fraction_positive_m7.max() * 1.1\n",
- "miny = all_data.tests_m7.min() * 0.9\n",
- "maxy = all_data.tests_m7.max() * 1.1\n",
- "\n",
- "plt.xlim(minx, maxx)\n",
- "plt.ylim(miny, maxy)\n",
- "# plt.legend(None)\n",
- "\n",
- "def build_state_frame(i):\n",
- " this_data = all_data[:i]\n",
- " plt.clf()\n",
- " plt.ylabel('Number of tests')\n",
- " plt.xlabel('Fraction of tests that are positive')\n",
- " plt.xlim(minx, maxx)\n",
- " plt.ylim(miny, maxy)\n",
- " p = plt.plot(this_data.fraction_positive_m7, this_data.tests_m7)\n",
- " p[0].set_color('r')\n",
- " for d in this_data[::15].index:\n",
- " plt.plot(this_data.loc[d, 'fraction_positive_m7'], \n",
- " this_data.loc[d, 'tests_m7'], 'o', \n",
- " markersize=8, markerfacecolor='r', markeredgecolor='r')\n",
- " plt.text(this_data.loc[d, 'fraction_positive_m7'] + 0.0002, \n",
- " this_data.loc[d, 'tests_m7'], \n",
- " s = d.strftime(\"%d %B %Y\"))\n",
- "\n",
- "animator = ani.FuncAnimation(fig, build_state_frame, \n",
- " frames=all_data.shape[0]+1,\n",
- " interval=100,\n",
- " repeat_delay=200,\n",
- " repeat=True)\n",
- "animator.save('tests_vs_fraction_positive.mp4')\n",
- "plt.show()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 444,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "ffmpeg version 4.2.4-1ubuntu0.1 Copyright (c) 2000-2020 the FFmpeg developers\n",
- " built with gcc 9 (Ubuntu 9.3.0-10ubuntu2)\n",
- " configuration: --prefix=/usr --extra-version=1ubuntu0.1 --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --arch=amd64 --enable-gpl --disable-stripping --enable-avresample --disable-filter=resample --enable-avisynth --enable-gnutls --enable-ladspa --enable-libaom --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libcodec2 --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libgme --enable-libgsm --enable-libjack --enable-libmp3lame --enable-libmysofa --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-libpulse --enable-librsvg --enable-librubberband --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libssh --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvorbis --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx265 --enable-libxml2 --enable-libxvid --enable-libzmq --enable-libzvbi --enable-lv2 --enable-omx --enable-openal --enable-opencl --enable-opengl --enable-sdl2 --enable-libdc1394 --enable-libdrm --enable-libiec61883 --enable-nvenc --enable-chromaprint --enable-frei0r --enable-libx264 --enable-shared\n",
- " WARNING: library configuration mismatch\n",
- " avcodec configuration: --prefix=/usr --extra-version=1ubuntu0.1 --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --arch=amd64 --enable-gpl --disable-stripping --enable-avresample --disable-filter=resample --enable-avisynth --enable-gnutls --enable-ladspa --enable-libaom --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libcodec2 --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libgme --enable-libgsm --enable-libjack --enable-libmp3lame --enable-libmysofa --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-libpulse --enable-librsvg --enable-librubberband --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libssh --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvorbis --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx265 --enable-libxml2 --enable-libxvid --enable-libzmq --enable-libzvbi --enable-lv2 --enable-omx --enable-openal --enable-opencl --enable-opengl --enable-sdl2 --enable-libdc1394 --enable-libdrm --enable-libiec61883 --enable-nvenc --enable-chromaprint --enable-frei0r --enable-libx264 --enable-shared --enable-version3 --disable-doc --disable-programs --enable-libaribb24 --enable-liblensfun --enable-libopencore_amrnb --enable-libopencore_amrwb --enable-libtesseract --enable-libvo_amrwbenc\n",
- " libavutil 56. 31.100 / 56. 31.100\n",
- " libavcodec 58. 54.100 / 58. 54.100\n",
- " libavformat 58. 29.100 / 58. 29.100\n",
- " libavdevice 58. 8.100 / 58. 8.100\n",
- " libavfilter 7. 57.100 / 7. 57.100\n",
- " libavresample 4. 0. 0 / 4. 0. 0\n",
- " libswscale 5. 5.100 / 5. 5.100\n",
- " libswresample 3. 5.100 / 3. 5.100\n",
- " libpostproc 55. 5.100 / 55. 5.100\n",
- "Input #0, mov,mp4,m4a,3gp,3g2,mj2, from 'tests_vs_fraction_positive.mp4':\n",
- " Metadata:\n",
- " major_brand : isom\n",
- " minor_version : 512\n",
- " compatible_brands: isomiso2avc1mp41\n",
- " encoder : Lavf58.29.100\n",
- " Duration: 00:00:09.20, start: 0.000000, bitrate: 25 kb/s\n",
- " Stream #0:0(und): Video: h264 (High) (avc1 / 0x31637661), yuv420p, 576x576, 23 kb/s, 10 fps, 10 tbr, 10240 tbn, 20 tbc (default)\n",
- " Metadata:\n",
- " handler_name : VideoHandler\n",
- "Stream mapping:\n",
- " Stream #0:0 -> #0:0 (h264 (native) -> apng (native))\n",
- "Press [q] to stop, [?] for help\n",
- "Output #0, apng, to 'tests_vs_fraction_positive_animation.png':\n",
- " Metadata:\n",
- " major_brand : isom\n",
- " minor_version : 512\n",
- " compatible_brands: isomiso2avc1mp41\n",
- " encoder : Lavf58.29.100\n",
- " Stream #0:0(und): Video: apng, rgb24, 576x576, q=2-31, 200 kb/s, 10 fps, 10 tbn, 10 tbc (default)\n",
- " Metadata:\n",
- " handler_name : VideoHandler\n",
- " encoder : Lavc58.54.100 apng\n",
- "frame= 92 fps= 48 q=-0.0 Lsize= 1714kB time=00:00:09.20 bitrate=1526.4kbits/s speed=4.82x \n",
- "video:1714kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.004900%\n"
- ]
- }
- ],
- "source": [
- "!rm tests_vs_fraction_positive_animation.png\n",
- "!ffmpeg -i tests_vs_fraction_positive.mp4 -plays 0 -final_delay 1 -f apng tests_vs_fraction_positive_animation.png"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 445,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
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\n",
- "text/plain": [
- "<Figure size 576x576 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "fig = plt.figure(figsize=(8, 8))\n",
- "plt.ylabel('Number of tests')\n",
- "plt.xlabel('Fraction of tests that are positive')\n",
- "\n",
- "all_data = data_by_day.dropna().loc[chart_start_date:]\n",
- "\n",
- "minx = all_data.fraction_positive_m7.min() * 0.9\n",
- "maxx = all_data.fraction_positive_m7.max() * 1.1\n",
- "miny = all_data.tests_m7.min() * 0.9\n",
- "maxy = all_data.tests_m7.max() * 1.1\n",
- "\n",
- "plt.xlim(minx, maxx)\n",
- "plt.ylim(miny, maxy)\n",
- "# plt.legend(None)\n",
- "\n",
- "def build_state_frame(i):\n",
- " this_data = all_data[:i]\n",
- " p = plt.plot(this_data.fraction_positive_m7, this_data.tests_m7)\n",
- " p[0].set_color('r')\n",
- " for d in this_data[::15].index:\n",
- " plt.plot(this_data.loc[d, 'fraction_positive_m7'], \n",
- " this_data.loc[d, 'tests_m7'], 'o', \n",
- " markersize=8, markerfacecolor='r', markeredgecolor='r')\n",
- " plt.text(this_data.loc[d, 'fraction_positive_m7'] + 0.0002, \n",
- " this_data.loc[d, 'tests_m7'], \n",
- " s = d.strftime(\"%d %B %Y\"))\n",
- "\n",
- "# animator = ani.FuncAnimation(fig, build_state_frame, interval=200)\n",
- "# animator.save('myfirstAnimation.mp4')\n",
- "build_state_frame(103)\n",
- "plt.show()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 446,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "91"
- ]
- },
- "execution_count": 446,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "all_data.shape[0]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 447,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "(0.011172239552450438, 0.08499906334209148)"
- ]
- },
- "execution_count": 447,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "minx, maxx"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": []
- }
- ],
- "metadata": {
- "kernelspec": {
- "display_name": "Python 3",
- "language": "python",
- "name": "python3"
- },
- "language_info": {
- "codemirror_mode": {
- "name": "ipython",
- "version": 3
- },
- "file_extension": ".py",
- "mimetype": "text/x-python",
- "name": "python",
- "nbconvert_exporter": "python",
- "pygments_lexer": "ipython3",
- "version": "3.7.4"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
+++ /dev/null
-{
- "cells": [
- {
- "cell_type": "code",
- "execution_count": 77,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "import itertools\n",
- "import collections\n",
- "import json\n",
- "import pandas as pd\n",
- "import numpy as np\n",
- "from scipy.stats import gmean\n",
- "import datetime\n",
- "\n",
- "import matplotlib as mpl\n",
- "import matplotlib.pyplot as plt\n",
- "import matplotlib.animation as ani\n",
- "%matplotlib inline"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "Collapsed": "false"
- },
- "source": [
- "Belgian data from https://epistat.wiv-isp.be/covid/"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 78,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " % Total % Received % Xferd Average Speed Time Time Time Current\n",
- " Dload Upload Total Spent Left Speed\n",
- "100 126k 100 126k 0 0 337k 0 --:--:-- --:--:-- --:--:-- 337k\n"
- ]
- }
- ],
- "source": [
- "!curl \"https://epistat.sciensano.be/Data/COVID19BE_tests.csv\" > COVID19BE_tests.csv"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 79,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "raw_data = pd.read_csv('COVID19BE_tests.csv', \n",
- " parse_dates=[0], dayfirst=True,\n",
- " keep_default_na=False, na_values = ['']\n",
- " )"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 80,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "DATE datetime64[ns]\n",
- "PROVINCE object\n",
- "REGION object\n",
- "TESTS_ALL int64\n",
- "TESTS_ALL_POS int64\n",
- "dtype: object"
- ]
- },
- "execution_count": 80,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "raw_data.dtypes"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 81,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
- " .dataframe tbody tr th:only-of-type {\n",
- " vertical-align: middle;\n",
- " }\n",
- "\n",
- " .dataframe tbody tr th {\n",
- " vertical-align: top;\n",
- " }\n",
- "\n",
- " .dataframe thead th {\n",
- " text-align: right;\n",
- " }\n",
- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>TESTS_ALL</th>\n",
- " <th>TESTS_ALL_POS</th>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>DATE</th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <td>2020-03-01</td>\n",
- " <td>82</td>\n",
- " <td>0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-03-02</td>\n",
- " <td>317</td>\n",
- " <td>10</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-03-03</td>\n",
- " <td>538</td>\n",
- " <td>21</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-03-04</td>\n",
- " <td>701</td>\n",
- " <td>37</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-03-05</td>\n",
- " <td>773</td>\n",
- " <td>65</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-11-08</td>\n",
- " <td>13284</td>\n",
- " <td>2785</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-11-09</td>\n",
- " <td>21947</td>\n",
- " <td>4480</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-11-10</td>\n",
- " <td>38400</td>\n",
- " <td>8086</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-11-11</td>\n",
- " <td>31388</td>\n",
- " <td>6091</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-11-12</td>\n",
- " <td>26443</td>\n",
- " <td>4665</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "<p>257 rows × 2 columns</p>\n",
- "</div>"
- ],
- "text/plain": [
- " TESTS_ALL TESTS_ALL_POS\n",
- "DATE \n",
- "2020-03-01 82 0\n",
- "2020-03-02 317 10\n",
- "2020-03-03 538 21\n",
- "2020-03-04 701 37\n",
- "2020-03-05 773 65\n",
- "... ... ...\n",
- "2020-11-08 13284 2785\n",
- "2020-11-09 21947 4480\n",
- "2020-11-10 38400 8086\n",
- "2020-11-11 31388 6091\n",
- "2020-11-12 26443 4665\n",
- "\n",
- "[257 rows x 2 columns]"
- ]
- },
- "execution_count": 81,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "tests_data = raw_data.set_index('DATE').sort_index().groupby('DATE').sum()[:-1]\n",
- "tests_data"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 82,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<matplotlib.axes._subplots.AxesSubplot at 0x7f46895e23d0>"
- ]
- },
- "execution_count": 82,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
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\n",
- "text/plain": [
- "<Figure size 432x288 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "tests_data.plot()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 83,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# data_by_day.newAdmissions.dropna()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 84,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
- " .dataframe tbody tr th:only-of-type {\n",
- " vertical-align: middle;\n",
- " }\n",
- "\n",
- " .dataframe tbody tr th {\n",
- " vertical-align: top;\n",
- " }\n",
- "\n",
- " .dataframe thead th {\n",
- " text-align: right;\n",
- " }\n",
- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>cases</th>\n",
- " <th>deaths</th>\n",
- " <th>cases_culm</th>\n",
- " <th>deaths_culm</th>\n",
- " <th>cases_diff</th>\n",
- " <th>deaths_diff</th>\n",
- " <th>cases_m7</th>\n",
- " <th>deaths_m7</th>\n",
- " <th>deaths_g4</th>\n",
- " <th>deaths_g7</th>\n",
- " <th>doubling_time</th>\n",
- " <th>doubling_time_7</th>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>dateRep</th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <td>2019-12-31</td>\n",
- " <td>0</td>\n",
- " <td>0</td>\n",
- " <td>0</td>\n",
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- " cases deaths cases_culm deaths_culm cases_diff deaths_diff \\\n",
- "dateRep \n",
- "2019-12-31 0 0 0 0 NaN NaN \n",
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- "\n",
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- "dateRep \n",
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- "[320 rows x 12 columns]"
- ]
- },
- "execution_count": 84,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "data_by_day = pd.read_csv('data_by_day_be.csv', index_col='dateRep', parse_dates=True)\n",
- "data_by_day"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 85,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "cases 93.000000\n",
- "deaths 5.000000\n",
- "cases_culm 62214.000000\n",
- "deaths_culm 9647.000000\n",
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- "deaths_g4 3.935979\n",
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- "doubling_time 1699.235256\n",
- "doubling_time_7 1634.593051\n",
- "Name: 2020-07-03 00:00:00, dtype: float64"
- ]
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- "execution_count": 85,
- "metadata": {},
- "output_type": "execute_result"
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- "source": [
- "data_by_day.loc['2020-07-03']"
- ]
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- {
- "cell_type": "code",
- "execution_count": 86,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "data_by_day = data_by_day.merge(tests_data[['TESTS_ALL']], how='outer',\n",
- " left_index=True, right_index=True).dropna()"
- ]
- },
- {
- "cell_type": "code",
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- " cases deaths cases_culm deaths_culm cases_diff deaths_diff \\\n",
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- "2020-03-13 250 1 1024 5 76.0 -2.0 \n",
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- "2020-11-10 8320 189 513491 13591 6875.0 -16.0 \n",
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- "2020-11-12 1819 177 522527 13967 -5398.0 -22.0 \n",
- "\n",
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- "data_by_day['deaths_m7'] = data_by_day.deaths.transform(lambda x: x.rolling(7, 1).mean())\n",
- "data_by_day['cases_m7'] = data_by_day.cases.transform(lambda x: x.rolling(7, 1).mean())\n",
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- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>cases</th>\n",
- " <th>deaths</th>\n",
- " <th>cases_culm</th>\n",
- " <th>deaths_culm</th>\n",
- " <th>cases_diff</th>\n",
- " <th>deaths_diff</th>\n",
- " <th>cases_m7</th>\n",
- " <th>deaths_m7</th>\n",
- " <th>deaths_g4</th>\n",
- " <th>deaths_g7</th>\n",
- " <th>doubling_time</th>\n",
- " <th>doubling_time_7</th>\n",
- " <th>TESTS_ALL</th>\n",
- " <th>tests_m7</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <td>2020-03-10</td>\n",
- " <td>94</td>\n",
- " <td>1</td>\n",
- " <td>501</td>\n",
- " <td>1</td>\n",
- " <td>30.0</td>\n",
- " <td>1.0</td>\n",
- " <td>94.000000</td>\n",
- " <td>1.000000</td>\n",
- " <td>0.000000</td>\n",
- " <td>0.000000</td>\n",
- " <td>inf</td>\n",
- " <td>inf</td>\n",
- " <td>804.0</td>\n",
- " <td>804.000000</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-03-11</td>\n",
- " <td>99</td>\n",
- " <td>0</td>\n",
- " <td>600</td>\n",
- " <td>1</td>\n",
- " <td>5.0</td>\n",
- " <td>-1.0</td>\n",
- " <td>96.500000</td>\n",
- " <td>0.500000</td>\n",
- " <td>0.000000</td>\n",
- " <td>0.000000</td>\n",
- " <td>inf</td>\n",
- " <td>inf</td>\n",
- " <td>1108.0</td>\n",
- " <td>956.000000</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-03-12</td>\n",
- " <td>174</td>\n",
- " <td>3</td>\n",
- " <td>774</td>\n",
- " <td>4</td>\n",
- " <td>75.0</td>\n",
- " <td>3.0</td>\n",
- " <td>122.333333</td>\n",
- " <td>1.333333</td>\n",
- " <td>0.000000</td>\n",
- " <td>0.000000</td>\n",
- " <td>inf</td>\n",
- " <td>inf</td>\n",
- " <td>1438.0</td>\n",
- " <td>1116.666667</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-03-13</td>\n",
- " <td>250</td>\n",
- " <td>1</td>\n",
- " <td>1024</td>\n",
- " <td>5</td>\n",
- " <td>76.0</td>\n",
- " <td>-2.0</td>\n",
- " <td>154.250000</td>\n",
- " <td>1.250000</td>\n",
- " <td>0.000000</td>\n",
- " <td>0.000000</td>\n",
- " <td>inf</td>\n",
- " <td>inf</td>\n",
- " <td>2524.0</td>\n",
- " <td>1468.500000</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-03-14</td>\n",
- " <td>338</td>\n",
- " <td>3</td>\n",
- " <td>1362</td>\n",
- " <td>8</td>\n",
- " <td>88.0</td>\n",
- " <td>2.0</td>\n",
- " <td>191.000000</td>\n",
- " <td>1.600000</td>\n",
- " <td>0.000000</td>\n",
- " <td>0.000000</td>\n",
- " <td>inf</td>\n",
- " <td>inf</td>\n",
- " <td>2171.0</td>\n",
- " <td>1609.000000</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-11-08</td>\n",
- " <td>3027</td>\n",
- " <td>207</td>\n",
- " <td>503726</td>\n",
- " <td>13197</td>\n",
- " <td>-3610.0</td>\n",
- " <td>-7.0</td>\n",
- " <td>7873.571429</td>\n",
- " <td>192.428571</td>\n",
- " <td>203.325671</td>\n",
- " <td>191.422569</td>\n",
- " <td>45.334910</td>\n",
- " <td>48.132496</td>\n",
- " <td>13284.0</td>\n",
- " <td>36906.000000</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-11-09</td>\n",
- " <td>1445</td>\n",
- " <td>205</td>\n",
- " <td>505171</td>\n",
- " <td>13402</td>\n",
- " <td>-1582.0</td>\n",
- " <td>-2.0</td>\n",
- " <td>7699.285714</td>\n",
- " <td>198.857143</td>\n",
- " <td>206.953291</td>\n",
- " <td>198.321322</td>\n",
- " <td>45.232911</td>\n",
- " <td>47.186672</td>\n",
- " <td>21947.0</td>\n",
- " <td>35916.142857</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-11-10</td>\n",
- " <td>8320</td>\n",
- " <td>189</td>\n",
- " <td>513491</td>\n",
- " <td>13591</td>\n",
- " <td>6875.0</td>\n",
- " <td>-16.0</td>\n",
- " <td>6909.571429</td>\n",
- " <td>196.571429</td>\n",
- " <td>203.540082</td>\n",
- " <td>196.032323</td>\n",
- " <td>46.629293</td>\n",
- " <td>48.401920</td>\n",
- " <td>38400.0</td>\n",
- " <td>33588.857143</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-11-11</td>\n",
- " <td>7217</td>\n",
- " <td>199</td>\n",
- " <td>520708</td>\n",
- " <td>13790</td>\n",
- " <td>-1103.0</td>\n",
- " <td>10.0</td>\n",
- " <td>6213.285714</td>\n",
- " <td>201.000000</td>\n",
- " <td>199.875596</td>\n",
- " <td>200.832476</td>\n",
- " <td>48.167987</td>\n",
- " <td>47.940131</td>\n",
- " <td>31388.0</td>\n",
- " <td>31691.428571</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-11-12</td>\n",
- " <td>1819</td>\n",
- " <td>177</td>\n",
- " <td>522527</td>\n",
- " <td>13967</td>\n",
- " <td>-5398.0</td>\n",
- " <td>-22.0</td>\n",
- " <td>5158.571429</td>\n",
- " <td>199.000000</td>\n",
- " <td>192.203150</td>\n",
- " <td>198.660293</td>\n",
- " <td>50.715337</td>\n",
- " <td>49.078127</td>\n",
- " <td>26443.0</td>\n",
- " <td>28969.857143</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "<p>248 rows × 14 columns</p>\n",
- "</div>"
- ],
- "text/plain": [
- " cases deaths cases_culm deaths_culm cases_diff deaths_diff \\\n",
- "2020-03-10 94 1 501 1 30.0 1.0 \n",
- "2020-03-11 99 0 600 1 5.0 -1.0 \n",
- "2020-03-12 174 3 774 4 75.0 3.0 \n",
- "2020-03-13 250 1 1024 5 76.0 -2.0 \n",
- "2020-03-14 338 3 1362 8 88.0 2.0 \n",
- "... ... ... ... ... ... ... \n",
- "2020-11-08 3027 207 503726 13197 -3610.0 -7.0 \n",
- "2020-11-09 1445 205 505171 13402 -1582.0 -2.0 \n",
- "2020-11-10 8320 189 513491 13591 6875.0 -16.0 \n",
- "2020-11-11 7217 199 520708 13790 -1103.0 10.0 \n",
- "2020-11-12 1819 177 522527 13967 -5398.0 -22.0 \n",
- "\n",
- " cases_m7 deaths_m7 deaths_g4 deaths_g7 doubling_time \\\n",
- "2020-03-10 94.000000 1.000000 0.000000 0.000000 inf \n",
- "2020-03-11 96.500000 0.500000 0.000000 0.000000 inf \n",
- "2020-03-12 122.333333 1.333333 0.000000 0.000000 inf \n",
- "2020-03-13 154.250000 1.250000 0.000000 0.000000 inf \n",
- "2020-03-14 191.000000 1.600000 0.000000 0.000000 inf \n",
- "... ... ... ... ... ... \n",
- "2020-11-08 7873.571429 192.428571 203.325671 191.422569 45.334910 \n",
- "2020-11-09 7699.285714 198.857143 206.953291 198.321322 45.232911 \n",
- "2020-11-10 6909.571429 196.571429 203.540082 196.032323 46.629293 \n",
- "2020-11-11 6213.285714 201.000000 199.875596 200.832476 48.167987 \n",
- "2020-11-12 5158.571429 199.000000 192.203150 198.660293 50.715337 \n",
- "\n",
- " doubling_time_7 TESTS_ALL tests_m7 \n",
- "2020-03-10 inf 804.0 804.000000 \n",
- "2020-03-11 inf 1108.0 956.000000 \n",
- "2020-03-12 inf 1438.0 1116.666667 \n",
- "2020-03-13 inf 2524.0 1468.500000 \n",
- "2020-03-14 inf 2171.0 1609.000000 \n",
- "... ... ... ... \n",
- "2020-11-08 48.132496 13284.0 36906.000000 \n",
- "2020-11-09 47.186672 21947.0 35916.142857 \n",
- "2020-11-10 48.401920 38400.0 33588.857143 \n",
- "2020-11-11 47.940131 31388.0 31691.428571 \n",
- "2020-11-12 49.078127 26443.0 28969.857143 \n",
- "\n",
- "[248 rows x 14 columns]"
- ]
- },
- "execution_count": 89,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "data_by_day = data_by_day.dropna()\n",
- "data_by_day"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 90,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "cases 20.000000\n",
- "deaths 9.000000\n",
- "cases_culm 61152.000000\n",
- "deaths_culm 9590.000000\n",
- "cases_diff -30.000000\n",
- "deaths_diff 6.000000\n",
- "cases_m7 95.428571\n",
- "deaths_m7 6.142857\n",
- "deaths_g4 4.820571\n",
- "deaths_g7 5.765161\n",
- "doubling_time 1379.287366\n",
- "doubling_time_7 1153.355452\n",
- "TESTS_ALL 11129.000000\n",
- "tests_m7 12589.285714\n",
- "Name: 2020-06-22 00:00:00, dtype: float64"
- ]
- },
- "execution_count": 90,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "data_by_day.loc['2020-06-22']"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 91,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<matplotlib.axes._subplots.AxesSubplot at 0x7f4689458910>"
- ]
- },
- "execution_count": 91,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
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\n",
- "text/plain": [
- "<Figure size 432x288 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "data_by_day.loc['2020-04-15':'2020-08-26', ['cases_m7', 'tests_m7']].plot()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 92,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "data_by_day['fraction_positive'] = data_by_day.cases / data_by_day.TESTS_ALL\n",
- "data_by_day['fraction_positive_m7'] = data_by_day.cases_m7 / data_by_day.tests_m7"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 93,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<matplotlib.axes._subplots.AxesSubplot at 0x7f46894496d0>"
- ]
- },
- "execution_count": 93,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 432x288 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "data_by_day[['fraction_positive', 'fraction_positive_m7']].dropna().plot()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 94,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# ax = data_by_day.dropna().loc['2020-06-15': , ['fraction_positive', 'fraction_positive_m7']].plot(figsize=(10, 8), title='Fraction of tests with positive results')\n",
- "# ax.legend(['Fraction positive per day', 'Fraction positive, 7 day moving average'])\n",
- "# ax.set_ylabel('Fraction positive')\n",
- "# plt.savefig('fraction_positive_tests.png')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 95,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 720x576 with 2 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "pri_y_max = int((data_by_day.dropna().loc['2020-06-15': , 'tests_m7'].max() * 1.1) / 100 ) * 100\n",
- "ax = data_by_day.dropna().loc['2020-06-15': , 'tests_m7'].plot(figsize=(10, 8), \n",
- " style=['k-'], \n",
- " legend=False,\n",
- " ylim=(0, pri_y_max))\n",
- "ax.set_title('Tests done and new cases (7 day moving average)')\n",
- "ax.legend(['Tests, 7 day moving average'], loc='lower left')\n",
- "ax.set_ylabel('Tests')\n",
- "sec_y_max = int((data_by_day.dropna().loc['2020-06-15':, 'cases_m7'].max() * 1.1) / 100) * 100\n",
- "ax = data_by_day.dropna().loc['2020-06-15':, 'cases_m7'].plot(ax=ax, secondary_y=True, style='r--')\n",
- "ax.set_ylim((0, sec_y_max))\n",
- "ax.legend(['Cases (7 day moving average)'], loc='lower right')\n",
- "ax.set_ylabel('New cases')\n",
- "plt.savefig('tests_and_cases_be.png')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 96,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "19400"
- ]
- },
- "execution_count": 96,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "int((sec_y_max * 1.1) / 100) * 100"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 97,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 720x576 with 2 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "ax = (data_by_day.dropna().loc['2020-06-15': , ['fraction_positive', 'fraction_positive_m7']] * 100).plot(figsize=(10, 8), \n",
- " style=['b:', 'k-'], legend=False)\n",
- "ax.set_title('Fraction of tests with positive results')\n",
- "ax.legend(['Fraction positive (%)', 'Fraction positive (%), 7 day moving average'], loc='lower left')\n",
- "ax.set_ylabel('Fraction positive')\n",
- "ax = data_by_day.dropna().loc['2020-06-15':, 'cases_m7'].plot(ax=ax, secondary_y=True, style='r--')\n",
- "ax.legend(['Cases (7 day moving average)'], loc='lower right')\n",
- "ax.set_ylabel('New cases')\n",
- "plt.savefig('fraction_positive_tests_be.png')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 98,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 576x576 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "ax = data_by_day.dropna().loc['2020-06-15':].plot(x='fraction_positive_m7', y='tests_m7', \n",
- " figsize=(8, 8),\n",
- " legend=None)\n",
- "ax.set_xlabel(\"Fraction of tests that are positive\")\n",
- "ax.set_ylabel(\"Number of tests\")\n",
- "for d in data_by_day.dropna().loc['2020-06-15'::15].index:\n",
- " ax.plot(data_by_day.loc[d, 'fraction_positive_m7'], data_by_day.loc[d, 'tests_m7'], 'o', \n",
- " markersize=8)#, markerfacecolor=marker_col, markeredgecolor=marker_col)\n",
- " ax.text(data_by_day.loc[d, 'fraction_positive_m7'] + 0.0002, data_by_day.loc[d, 'tests_m7'], \n",
- " s = d.strftime(\"%d %B %Y\"))\n",
- "plt.savefig('fraction_positive_tests_vs_tests_be.png')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 99,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
- " .dataframe tbody tr th:only-of-type {\n",
- " vertical-align: middle;\n",
- " }\n",
- "\n",
- " .dataframe tbody tr th {\n",
- " vertical-align: top;\n",
- " }\n",
- "\n",
- " .dataframe thead th {\n",
- " text-align: right;\n",
- " }\n",
- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>cases</th>\n",
- " <th>deaths</th>\n",
- " <th>cases_culm</th>\n",
- " <th>deaths_culm</th>\n",
- " <th>cases_diff</th>\n",
- " <th>deaths_diff</th>\n",
- " <th>cases_m7</th>\n",
- " <th>deaths_m7</th>\n",
- " <th>deaths_g4</th>\n",
- " <th>deaths_g7</th>\n",
- " <th>doubling_time</th>\n",
- " <th>doubling_time_7</th>\n",
- " <th>TESTS_ALL</th>\n",
- " <th>tests_m7</th>\n",
- " <th>fraction_positive</th>\n",
- " <th>fraction_positive_m7</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <td>2020-06-15</td>\n",
- " <td>22</td>\n",
- " <td>3</td>\n",
- " <td>60484</td>\n",
- " <td>9547</td>\n",
- " <td>-27.0</td>\n",
- " <td>-2.0</td>\n",
- " <td>95.857143</td>\n",
- " <td>8.285714</td>\n",
- " <td>5.692425</td>\n",
- " <td>7.520666</td>\n",
- " <td>1162.852153</td>\n",
- " <td>880.252074</td>\n",
- " <td>11905.0</td>\n",
- " <td>12538.000000</td>\n",
- " <td>0.001848</td>\n",
- " <td>0.007645</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-06-16</td>\n",
- " <td>147</td>\n",
- " <td>8</td>\n",
- " <td>60631</td>\n",
- " <td>9555</td>\n",
- " <td>125.0</td>\n",
- " <td>5.0</td>\n",
- " <td>95.142857</td>\n",
- " <td>8.142857</td>\n",
- " <td>5.885662</td>\n",
- " <td>7.395181</td>\n",
- " <td>1125.627162</td>\n",
- " <td>895.932593</td>\n",
- " <td>15194.0</td>\n",
- " <td>12553.571429</td>\n",
- " <td>0.009675</td>\n",
- " <td>0.007579</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " cases deaths cases_culm deaths_culm cases_diff deaths_diff \\\n",
- "2020-06-15 22 3 60484 9547 -27.0 -2.0 \n",
- "2020-06-16 147 8 60631 9555 125.0 5.0 \n",
- "\n",
- " cases_m7 deaths_m7 deaths_g4 deaths_g7 doubling_time \\\n",
- "2020-06-15 95.857143 8.285714 5.692425 7.520666 1162.852153 \n",
- "2020-06-16 95.142857 8.142857 5.885662 7.395181 1125.627162 \n",
- "\n",
- " doubling_time_7 TESTS_ALL tests_m7 fraction_positive \\\n",
- "2020-06-15 880.252074 11905.0 12538.000000 0.001848 \n",
- "2020-06-16 895.932593 15194.0 12553.571429 0.009675 \n",
- "\n",
- " fraction_positive_m7 \n",
- "2020-06-15 0.007645 \n",
- "2020-06-16 0.007579 "
- ]
- },
- "execution_count": 99,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "data_by_day.dropna().loc['2020-06-15':][:2]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 100,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 576x576 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "fig = plt.figure(figsize=(8, 8))\n",
- "plt.ylabel('Number of tests')\n",
- "plt.xlabel('Fraction of tests that are positive')\n",
- "all_data = data_by_day.dropna().loc['2020-06-15':]\n",
- "\n",
- "\n",
- "minx = all_data.fraction_positive_m7.min() * 0.9\n",
- "maxx = all_data.fraction_positive_m7.max() * 1.1\n",
- "miny = all_data.tests_m7.min() * 0.9\n",
- "maxy = all_data.tests_m7.max() * 1.1\n",
- "\n",
- "plt.xlim(minx, maxx)\n",
- "plt.ylim(miny, maxy)\n",
- "# plt.legend(None)\n",
- "\n",
- "def build_state_frame(i):\n",
- " this_data = all_data[:i]\n",
- " plt.clf()\n",
- " plt.ylabel('Number of tests')\n",
- " plt.xlabel('Fraction of tests that are positive')\n",
- " plt.xlim(minx, maxx)\n",
- " plt.ylim(miny, maxy)\n",
- " p = plt.plot(this_data.fraction_positive_m7, this_data.tests_m7)\n",
- " p[0].set_color('r')\n",
- " for d in this_data[::15].index:\n",
- " plt.plot(this_data.loc[d, 'fraction_positive_m7'], \n",
- " this_data.loc[d, 'tests_m7'], 'o', \n",
- " markersize=8, markerfacecolor='r', markeredgecolor='r')\n",
- " plt.text(this_data.loc[d, 'fraction_positive_m7'] + 0.0002, \n",
- " this_data.loc[d, 'tests_m7'], \n",
- " s = d.strftime(\"%d %B %Y\"))\n",
- "\n",
- "animator = ani.FuncAnimation(fig, build_state_frame, \n",
- " frames=all_data.shape[0]+1,\n",
- " interval=100,\n",
- " repeat_delay=200,\n",
- " repeat=True)\n",
- "animator.save('tests_vs_fraction_positive_be.mp4')\n",
- "plt.show()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 101,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "ffmpeg version 4.2.4-1ubuntu0.1 Copyright (c) 2000-2020 the FFmpeg developers\n",
- " built with gcc 9 (Ubuntu 9.3.0-10ubuntu2)\n",
- " configuration: --prefix=/usr --extra-version=1ubuntu0.1 --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --arch=amd64 --enable-gpl --disable-stripping --enable-avresample --disable-filter=resample --enable-avisynth --enable-gnutls --enable-ladspa --enable-libaom --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libcodec2 --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libgme --enable-libgsm --enable-libjack --enable-libmp3lame --enable-libmysofa --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-libpulse --enable-librsvg --enable-librubberband --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libssh --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvorbis --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx265 --enable-libxml2 --enable-libxvid --enable-libzmq --enable-libzvbi --enable-lv2 --enable-omx --enable-openal --enable-opencl --enable-opengl --enable-sdl2 --enable-libdc1394 --enable-libdrm --enable-libiec61883 --enable-nvenc --enable-chromaprint --enable-frei0r --enable-libx264 --enable-shared\n",
- " WARNING: library configuration mismatch\n",
- " avcodec configuration: --prefix=/usr --extra-version=1ubuntu0.1 --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --arch=amd64 --enable-gpl --disable-stripping --enable-avresample --disable-filter=resample --enable-avisynth --enable-gnutls --enable-ladspa --enable-libaom --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libcodec2 --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libgme --enable-libgsm --enable-libjack --enable-libmp3lame --enable-libmysofa --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-libpulse --enable-librsvg --enable-librubberband --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libssh --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvorbis --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx265 --enable-libxml2 --enable-libxvid --enable-libzmq --enable-libzvbi --enable-lv2 --enable-omx --enable-openal --enable-opencl --enable-opengl --enable-sdl2 --enable-libdc1394 --enable-libdrm --enable-libiec61883 --enable-nvenc --enable-chromaprint --enable-frei0r --enable-libx264 --enable-shared --enable-version3 --disable-doc --disable-programs --enable-libaribb24 --enable-liblensfun --enable-libopencore_amrnb --enable-libopencore_amrwb --enable-libtesseract --enable-libvo_amrwbenc\n",
- " libavutil 56. 31.100 / 56. 31.100\n",
- " libavcodec 58. 54.100 / 58. 54.100\n",
- " libavformat 58. 29.100 / 58. 29.100\n",
- " libavdevice 58. 8.100 / 58. 8.100\n",
- " libavfilter 7. 57.100 / 7. 57.100\n",
- " libavresample 4. 0. 0 / 4. 0. 0\n",
- " libswscale 5. 5.100 / 5. 5.100\n",
- " libswresample 3. 5.100 / 3. 5.100\n",
- " libpostproc 55. 5.100 / 55. 5.100\n",
- "Input #0, mov,mp4,m4a,3gp,3g2,mj2, from 'tests_vs_fraction_positive_be.mp4':\n",
- " Metadata:\n",
- " major_brand : isom\n",
- " minor_version : 512\n",
- " compatible_brands: isomiso2avc1mp41\n",
- " encoder : Lavf58.29.100\n",
- " Duration: 00:00:15.20, start: 0.000000, bitrate: 15 kb/s\n",
- " Stream #0:0(und): Video: h264 (High) (avc1 / 0x31637661), yuv420p, 576x576, 14 kb/s, 10 fps, 10 tbr, 10240 tbn, 20 tbc (default)\n",
- " Metadata:\n",
- " handler_name : VideoHandler\n",
- "Stream mapping:\n",
- " Stream #0:0 -> #0:0 (h264 (native) -> apng (native))\n",
- "Press [q] to stop, [?] for help\n",
- "Output #0, apng, to 'tests_vs_fraction_positive_animation_be.png':\n",
- " Metadata:\n",
- " major_brand : isom\n",
- " minor_version : 512\n",
- " compatible_brands: isomiso2avc1mp41\n",
- " encoder : Lavf58.29.100\n",
- " Stream #0:0(und): Video: apng, rgb24, 576x576, q=2-31, 200 kb/s, 10 fps, 10 tbn, 10 tbc (default)\n",
- " Metadata:\n",
- " handler_name : VideoHandler\n",
- " encoder : Lavc58.54.100 apng\n",
- "frame= 152 fps= 66 q=-0.0 Lsize= 1438kB time=00:00:15.20 bitrate= 774.8kbits/s speed=6.65x \n",
- "video:1438kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.005842%\n"
- ]
- }
- ],
- "source": [
- "!rm tests_vs_fraction_positive_animation_be.png\n",
- "!ffmpeg -i tests_vs_fraction_positive_be.mp4 -plays 0 -final_delay 1 -f apng tests_vs_fraction_positive_animation_be.png"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": []
- }
- ],
- "metadata": {
- "kernelspec": {
- "display_name": "Python 3",
- "language": "python",
- "name": "python3"
- },
- "language_info": {
- "codemirror_mode": {
- "name": "ipython",
- "version": 3
- },
- "file_extension": ".py",
- "mimetype": "text/x-python",
- "name": "python",
- "nbconvert_exporter": "python",
- "pygments_lexer": "ipython3",
- "version": "3.7.4"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
--- /dev/null
+---
+jupyter:
+ jupytext:
+ formats: ipynb,md
+ text_representation:
+ extension: .md
+ format_name: markdown
+ format_version: '1.3'
+ jupytext_version: 1.10.2
+ kernelspec:
+ display_name: Python 3
+ language: python
+ name: python3
+---
+
+```python Collapsed="false"
+import itertools
+import collections
+import json
+import pandas as pd
+import numpy as np
+from scipy.stats import gmean
+import datetime
+
+import matplotlib as mpl
+import matplotlib.pyplot as plt
+import matplotlib.animation as ani
+%matplotlib inline
+```
+
+<!-- #region Collapsed="false" -->
+Belgian data from https://epistat.wiv-isp.be/covid/
+<!-- #endregion -->
+
+```python Collapsed="false"
+!curl "https://epistat.sciensano.be/Data/COVID19BE_tests.csv" > COVID19BE_tests.csv
+```
+
+```python Collapsed="false"
+raw_data = pd.read_csv('COVID19BE_tests.csv',
+ parse_dates=[0], dayfirst=True,
+ keep_default_na=False, na_values = ['']
+ )
+```
+
+```python Collapsed="false"
+raw_data.dtypes
+```
+
+```python Collapsed="false"
+tests_data = raw_data.set_index('DATE').sort_index().groupby('DATE').sum()[:-1]
+tests_data
+```
+
+```python Collapsed="false"
+tests_data.plot()
+```
+
+```python Collapsed="false"
+# data_by_day.newAdmissions.dropna()
+```
+
+```python Collapsed="false"
+data_by_day = pd.read_csv('data_by_day_be.csv', index_col='dateRep', parse_dates=True)
+data_by_day
+```
+
+```python Collapsed="false"
+data_by_day.loc['2020-07-03']
+```
+
+```python Collapsed="false"
+data_by_day = data_by_day.merge(tests_data[['TESTS_ALL']], how='outer',
+ left_index=True, right_index=True).dropna()
+```
+
+```python Collapsed="false"
+data_by_day
+```
+
+```python Collapsed="false"
+data_by_day['deaths_m7'] = data_by_day.deaths.transform(lambda x: x.rolling(7, 1).mean())
+data_by_day['cases_m7'] = data_by_day.cases.transform(lambda x: x.rolling(7, 1).mean())
+data_by_day['tests_m7'] = data_by_day.TESTS_ALL.transform(lambda x: x.rolling(7, 1).mean())
+```
+
+```python Collapsed="false"
+data_by_day = data_by_day.dropna()
+data_by_day
+```
+
+```python Collapsed="false"
+data_by_day.loc['2020-06-22']
+```
+
+```python Collapsed="false"
+data_by_day.loc['2020-04-15':'2020-08-26', ['cases_m7', 'tests_m7']].plot()
+```
+
+```python Collapsed="false"
+data_by_day['fraction_positive'] = data_by_day.cases / data_by_day.TESTS_ALL
+data_by_day['fraction_positive_m7'] = data_by_day.cases_m7 / data_by_day.tests_m7
+```
+
+```python Collapsed="false"
+data_by_day[['fraction_positive', 'fraction_positive_m7']].dropna().plot()
+```
+
+```python Collapsed="false"
+# ax = data_by_day.dropna().loc['2020-06-15': , ['fraction_positive', 'fraction_positive_m7']].plot(figsize=(10, 8), title='Fraction of tests with positive results')
+# ax.legend(['Fraction positive per day', 'Fraction positive, 7 day moving average'])
+# ax.set_ylabel('Fraction positive')
+# plt.savefig('fraction_positive_tests.png')
+```
+
+```python Collapsed="false"
+pri_y_max = int((data_by_day.dropna().loc['2020-06-15': , 'tests_m7'].max() * 1.1) / 100 ) * 100
+ax = data_by_day.dropna().loc['2020-06-15': , 'tests_m7'].plot(figsize=(10, 8),
+ style=['k-'],
+ legend=False,
+ ylim=(0, pri_y_max))
+ax.set_title('Tests done and new cases (7 day moving average)')
+ax.legend(['Tests, 7 day moving average'], loc='lower left')
+ax.set_ylabel('Tests')
+sec_y_max = int((data_by_day.dropna().loc['2020-06-15':, 'cases_m7'].max() * 1.1) / 100) * 100
+ax = data_by_day.dropna().loc['2020-06-15':, 'cases_m7'].plot(ax=ax, secondary_y=True, style='r--')
+ax.set_ylim((0, sec_y_max))
+ax.legend(['Cases (7 day moving average)'], loc='lower right')
+ax.set_ylabel('New cases')
+plt.savefig('tests_and_cases_be.png')
+```
+
+```python Collapsed="false"
+int((sec_y_max * 1.1) / 100) * 100
+```
+
+```python Collapsed="false"
+ax = (data_by_day.dropna().loc['2020-06-15': , ['fraction_positive', 'fraction_positive_m7']] * 100).plot(figsize=(10, 8),
+ style=['b:', 'k-'], legend=False)
+ax.set_title('Fraction of tests with positive results')
+ax.legend(['Fraction positive (%)', 'Fraction positive (%), 7 day moving average'], loc='lower left')
+ax.set_ylabel('Fraction positive')
+ax = data_by_day.dropna().loc['2020-06-15':, 'cases_m7'].plot(ax=ax, secondary_y=True, style='r--')
+ax.legend(['Cases (7 day moving average)'], loc='lower right')
+ax.set_ylabel('New cases')
+plt.savefig('fraction_positive_tests_be.png')
+```
+
+```python Collapsed="false"
+ax = data_by_day.dropna().loc['2020-06-15':].plot(x='fraction_positive_m7', y='tests_m7',
+ figsize=(8, 8),
+ legend=None)
+ax.set_xlabel("Fraction of tests that are positive")
+ax.set_ylabel("Number of tests")
+for d in data_by_day.dropna().loc['2020-06-15'::15].index:
+ ax.plot(data_by_day.loc[d, 'fraction_positive_m7'], data_by_day.loc[d, 'tests_m7'], 'o',
+ markersize=8)#, markerfacecolor=marker_col, markeredgecolor=marker_col)
+ ax.text(data_by_day.loc[d, 'fraction_positive_m7'] + 0.0002, data_by_day.loc[d, 'tests_m7'],
+ s = d.strftime("%d %B %Y"))
+plt.savefig('fraction_positive_tests_vs_tests_be.png')
+```
+
+```python Collapsed="false"
+data_by_day.dropna().loc['2020-06-15':][:2]
+```
+
+```python Collapsed="false"
+fig = plt.figure(figsize=(8, 8))
+plt.ylabel('Number of tests')
+plt.xlabel('Fraction of tests that are positive')
+all_data = data_by_day.dropna().loc['2020-06-15':]
+
+
+minx = all_data.fraction_positive_m7.min() * 0.9
+maxx = all_data.fraction_positive_m7.max() * 1.1
+miny = all_data.tests_m7.min() * 0.9
+maxy = all_data.tests_m7.max() * 1.1
+
+plt.xlim(minx, maxx)
+plt.ylim(miny, maxy)
+# plt.legend(None)
+
+def build_state_frame(i):
+ this_data = all_data[:i]
+ plt.clf()
+ plt.ylabel('Number of tests')
+ plt.xlabel('Fraction of tests that are positive')
+ plt.xlim(minx, maxx)
+ plt.ylim(miny, maxy)
+ p = plt.plot(this_data.fraction_positive_m7, this_data.tests_m7)
+ p[0].set_color('r')
+ for d in this_data[::15].index:
+ plt.plot(this_data.loc[d, 'fraction_positive_m7'],
+ this_data.loc[d, 'tests_m7'], 'o',
+ markersize=8, markerfacecolor='r', markeredgecolor='r')
+ plt.text(this_data.loc[d, 'fraction_positive_m7'] + 0.0002,
+ this_data.loc[d, 'tests_m7'],
+ s = d.strftime("%d %B %Y"))
+
+animator = ani.FuncAnimation(fig, build_state_frame,
+ frames=all_data.shape[0]+1,
+ interval=100,
+ repeat_delay=200,
+ repeat=True)
+animator.save('tests_vs_fraction_positive_be.mp4')
+plt.show()
+```
+
+```python Collapsed="false"
+!rm tests_vs_fraction_positive_animation_be.png
+!ffmpeg -i tests_vs_fraction_positive_be.mp4 -plays 0 -final_delay 1 -f apng tests_vs_fraction_positive_animation_be.png
+```
+
+```python Collapsed="false"
+
+```
+++ /dev/null
-{
- "cells": [
- {
- "cell_type": "code",
- "execution_count": 91,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "The sql extension is already loaded. To reload it, use:\n",
- " %reload_ext sql\n"
- ]
- }
- ],
- "source": [
- "import itertools\n",
- "import collections\n",
- "import json\n",
- "import pandas as pd\n",
- "import numpy as np\n",
- "from scipy.stats import gmean\n",
- "import datetime\n",
- "\n",
- "import matplotlib as mpl\n",
- "import matplotlib.pyplot as plt\n",
- "import matplotlib.animation as ani\n",
- "%matplotlib inline\n",
- "%load_ext sql"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 92,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "chart_start_date = '2020-09-15'"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 93,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "connection_string = 'postgresql://covid:3NbjJTkT63@localhost/covid'"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 94,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "'Connected: covid@covid'"
- ]
- },
- "execution_count": 94,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "%sql $connection_string"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 109,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "390 rows affected.\n",
- "Returning data to local variable res\n"
- ]
- }
- ],
- "source": [
- "%%sql res << select uk_data.date, \n",
- " uk_data.new_cases, uk_data_7.new_cases as new_cases_7,\n",
- " uk_data.new_tests, uk_data_7.new_tests as new_tests_7,\n",
- " uk_data.new_pcr_tests, uk_data_7.new_pcr_tests as new_pcr_7,\n",
- " uk_data.new_pillar_1_2_tests as new_pillar_12, uk_data_7.new_pillar_1_2_tests as new_pillar_12_7,\n",
- " uk_data.new_cases::float / uk_data.new_tests as fraction_positive,\n",
- " uk_data_7.new_cases / uk_data_7.new_tests as fraction_positive_7\n",
- " from uk_data left outer join uk_data_7 using (date)\n",
- " order by uk_data.date"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 110,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
- " .dataframe tbody tr th:only-of-type {\n",
- " vertical-align: middle;\n",
- " }\n",
- "\n",
- " .dataframe tbody tr th {\n",
- " vertical-align: top;\n",
- " }\n",
- "\n",
- " .dataframe thead th {\n",
- " text-align: right;\n",
- " }\n",
- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>new_cases</th>\n",
- " <th>new_cases_7</th>\n",
- " <th>new_tests</th>\n",
- " <th>new_tests_7</th>\n",
- " <th>new_pcr_tests</th>\n",
- " <th>new_pcr_7</th>\n",
- " <th>new_pillar_12</th>\n",
- " <th>new_pillar_12_7</th>\n",
- " <th>fraction_positive</th>\n",
- " <th>fraction_positive_7</th>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>date</th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>2021-01-17</th>\n",
- " <td>28875.0</td>\n",
- " <td>37337.855</td>\n",
- " <td>417965.0</td>\n",
- " <td>571242.56</td>\n",
- " <td>320122.0</td>\n",
- " <td>389469.84</td>\n",
- " <td>395737.0</td>\n",
- " <td>545088.10</td>\n",
- " <td>0.069085</td>\n",
- " <td>0.065363</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2021-01-18</th>\n",
- " <td>44732.0</td>\n",
- " <td>35766.570</td>\n",
- " <td>559939.0</td>\n",
- " <td>566901.10</td>\n",
- " <td>262499.0</td>\n",
- " <td>377019.28</td>\n",
- " <td>537028.0</td>\n",
- " <td>542617.90</td>\n",
- " <td>0.079887</td>\n",
- " <td>0.063091</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2021-01-19</th>\n",
- " <td>39311.0</td>\n",
- " <td>34143.285</td>\n",
- " <td>582938.0</td>\n",
- " <td>571336.56</td>\n",
- " <td>357850.0</td>\n",
- " <td>374771.16</td>\n",
- " <td>559061.0</td>\n",
- " <td>547402.44</td>\n",
- " <td>0.067436</td>\n",
- " <td>0.059760</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2021-01-20</th>\n",
- " <td>35015.0</td>\n",
- " <td>32707.428</td>\n",
- " <td>645050.0</td>\n",
- " <td>570458.10</td>\n",
- " <td>434099.0</td>\n",
- " <td>372037.44</td>\n",
- " <td>617221.0</td>\n",
- " <td>546806.30</td>\n",
- " <td>0.054283</td>\n",
- " <td>0.057335</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2021-01-21</th>\n",
- " <td>31430.0</td>\n",
- " <td>30620.428</td>\n",
- " <td>668989.0</td>\n",
- " <td>569716.70</td>\n",
- " <td>439408.0</td>\n",
- " <td>363750.16</td>\n",
- " <td>644537.0</td>\n",
- " <td>546626.56</td>\n",
- " <td>0.046981</td>\n",
- " <td>0.053747</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2021-01-22</th>\n",
- " <td>29094.0</td>\n",
- " <td>24870.428</td>\n",
- " <td>631901.0</td>\n",
- " <td>567830.30</td>\n",
- " <td>401075.0</td>\n",
- " <td>354323.16</td>\n",
- " <td>608829.0</td>\n",
- " <td>545780.30</td>\n",
- " <td>0.046042</td>\n",
- " <td>0.043799</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2021-01-23</th>\n",
- " <td>20495.0</td>\n",
- " <td>22463.666</td>\n",
- " <td>486425.0</td>\n",
- " <td>565312.30</td>\n",
- " <td>389209.0</td>\n",
- " <td>353735.34</td>\n",
- " <td>465231.0</td>\n",
- " <td>543566.80</td>\n",
- " <td>0.042134</td>\n",
- " <td>0.039737</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2021-01-24</th>\n",
- " <td>14266.0</td>\n",
- " <td>NaN</td>\n",
- " <td>412775.0</td>\n",
- " <td>NaN</td>\n",
- " <td>262111.0</td>\n",
- " <td>NaN</td>\n",
- " <td>394479.0</td>\n",
- " <td>NaN</td>\n",
- " <td>0.034561</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2021-01-25</th>\n",
- " <td>4482.0</td>\n",
- " <td>NaN</td>\n",
- " <td>546734.0</td>\n",
- " <td>NaN</td>\n",
- " <td>196510.0</td>\n",
- " <td>NaN</td>\n",
- " <td>531104.0</td>\n",
- " <td>NaN</td>\n",
- " <td>0.008198</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2021-01-26</th>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " new_cases new_cases_7 new_tests new_tests_7 new_pcr_tests \\\n",
- "date \n",
- "2021-01-17 28875.0 37337.855 417965.0 571242.56 320122.0 \n",
- "2021-01-18 44732.0 35766.570 559939.0 566901.10 262499.0 \n",
- "2021-01-19 39311.0 34143.285 582938.0 571336.56 357850.0 \n",
- "2021-01-20 35015.0 32707.428 645050.0 570458.10 434099.0 \n",
- "2021-01-21 31430.0 30620.428 668989.0 569716.70 439408.0 \n",
- "2021-01-22 29094.0 24870.428 631901.0 567830.30 401075.0 \n",
- "2021-01-23 20495.0 22463.666 486425.0 565312.30 389209.0 \n",
- "2021-01-24 14266.0 NaN 412775.0 NaN 262111.0 \n",
- "2021-01-25 4482.0 NaN 546734.0 NaN 196510.0 \n",
- "2021-01-26 NaN NaN NaN NaN NaN \n",
- "\n",
- " new_pcr_7 new_pillar_12 new_pillar_12_7 fraction_positive \\\n",
- "date \n",
- "2021-01-17 389469.84 395737.0 545088.10 0.069085 \n",
- "2021-01-18 377019.28 537028.0 542617.90 0.079887 \n",
- "2021-01-19 374771.16 559061.0 547402.44 0.067436 \n",
- "2021-01-20 372037.44 617221.0 546806.30 0.054283 \n",
- "2021-01-21 363750.16 644537.0 546626.56 0.046981 \n",
- "2021-01-22 354323.16 608829.0 545780.30 0.046042 \n",
- "2021-01-23 353735.34 465231.0 543566.80 0.042134 \n",
- "2021-01-24 NaN 394479.0 NaN 0.034561 \n",
- "2021-01-25 NaN 531104.0 NaN 0.008198 \n",
- "2021-01-26 NaN NaN NaN NaN \n",
- "\n",
- " fraction_positive_7 \n",
- "date \n",
- "2021-01-17 0.065363 \n",
- "2021-01-18 0.063091 \n",
- "2021-01-19 0.059760 \n",
- "2021-01-20 0.057335 \n",
- "2021-01-21 0.053747 \n",
- "2021-01-22 0.043799 \n",
- "2021-01-23 0.039737 \n",
- "2021-01-24 NaN \n",
- "2021-01-25 NaN \n",
- "2021-01-26 NaN "
- ]
- },
- "execution_count": 110,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "tests_data = res.DataFrame()\n",
- "tests_data['date'] = tests_data.date.astype('datetime64[ns]')\n",
- "tests_data.set_index('date', inplace=True)\n",
- "tests_data.tail(10)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 111,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<AxesSubplot:xlabel='date'>"
- ]
- },
- "execution_count": 111,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
- "image/png": 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xtxhjFhpjFo4dO7bHDeTn59PY2KiT2X7CGENjY6Ou1laUYcCd/FM+ikRaUJQVBgkFfCmNwq2EVxjyEwwMfMFdv6YnY8xuEdkuIocaY94GTgXWOK9LgRuc9wedLg8BfxCRHwMTsE7rFcaYhIi0i8gS4CXgEuDnnj6XAi8A5wNPOtFQjwHf8ziwlwJXD+jOPEyaNIna2lp60zaUfSc/P19XayvKMNCRw0fR2h3DJ1AcCpAX8KV8FJ3e8FjfwBfcDTSFx5eA34tICNgEfAqrjdwnIpcB24ALAIwxq0XkPqwgiQNXGGPchCKfJx0e+4jzAuso/62IbMBqEhc6YzWJyHXAy85x1xpjmgZ4zSmCwSDTp08fbDdFUZQRTw8fhSMoSvKD+HySoVG4qccLBxn1NCBBYYxZBSzMsevUXo6/Hrg+R/tK7FqM7PYwjqDJse924PaBXKeiKMrBhmtOSvkonHUUpQV2es8L+FM+irbuGCG/j7yAn6DfR0xTeCiKohz49PBRxJO0dccoybOCIy+QDoOtbelmQrn1JQb9PmJD6MxWFEVRRiidkTg+gdL8dNSTV6MIBXypBXfbm7qYXGmLFgV8QxseqyiKooxQOiJxikIB8oJ2Oo8mkrSFrY8CMjWKbU1dTHEERTCgpidFUZSDgs5InKK8ACG/IyhcjcIRFK5G0RaO0dIVSwsKnxBTjUJRFOXApzMaT1WsAwjHXI0i05m9vakLIC0o1JmtKIpycNARsYWI8h3TU1c0TkckTmm+x0cRT6YERcpH4fepj0JRFOVgwDU9uRpFY2cUY6C0wOOjiCdp6rSrtccU2/xPQb8QSyYHlLFCBYWiKMooxhUUeQEfIlDXFgFImZ5cjcI1MwX94rz7UoWO+kMFhaIoyijGRj35ERHyA37q2sMAnqgnf4agCDhO74AjMAZSDlUFhaIoyiimK5qgKM9qD/lBH/XtVqMo9YbHxhOpCCc3Oiros+9/frWWw/77kexhM1BBoSiKMorpiMQpdgRFQdBPXXum6clNChhPaRSu6cm+d4TjhGN9Rz+poFAURRmlxBJJovFkWqMI+WnqtEWLvIIimvCYnnxWQLgmKDdRYF+ooFAURRmluJljU4Ii4E/tc6OeQgHrtO6KJgj6BVtlOq1RdMdUUCiKohywdKTqS1gBURBKCwrvgjuwC/OC/vSU7267wqYvVFAoiqKMUtzMsV5nNlgtwhUQoYBt64gkUmYnSJueVKNQFEU5gOnIMj0VOIvu3IgnsD4KsJqDKzTA5noC6FYfhaIoyoGLt7QpQF5KUKRr0qU1ijgBXw7TUzSB36Np5EIFhaIoyijFFRSFjm/C1ShKPIIi5aOIxAkGvKYnV6OIpxzbvaGCQlEUZQSxpaGTbY1dAzq20zEbFWf5KNyIJ0hrFJ2ReGqRHaQ1iq5oIqM9FwMSFCKyRUTeFJFVIrLSaasUkcdFZL3zXuE5/moR2SAib4vI6Z72Bc44G0TkZ+LEaYlInojc67S/JCLTPH0udc6xXkQuHcj1KoqijFau+ssbfOvBtwZ0bHZ4bG6NIu3MzhX11B1NEAwMgaBwONkYM98Ys9D5fBWwzBgzG1jmfEZE5gAXAnOBM4BfiYgbs3UTcDkw23md4bRfBjQbY2YBNwLfd8aqBK4BFgOLgGu8AklRFOVAo6kzmkrD0R8dWT6KlKDIy61RBPw9TU/u+oq+2BfT07nAXc72XcB5nvZ7jDERY8xmYAOwSETGA6XGmBeMzWt7d1Yfd6z7gVMdbeN04HFjTJMxphl4nLRwURRFOeDoCMdp644N6NjOSBy/T1JaQ8qZXdBTo+iOZWoUoZTpKXN9RS4GKigM8E8ReUVELnfaaowxuwCc92qnfSKw3dO31mmb6Gxnt2f0McbEgVagqo+xFEVRDkg6IgMXFN7MseA1PfXUKIAMzcGrUYT6ERSBPvemOc4Ys1NEqoHHRWRdH8fm0mFMH+172yd9Qiu8LgeYMmVKH5emKIoycjHG0BGJk3TqRPQXttrUGaWyKJT6nN9H1BOQoTm4obLxpBkajcIYs9N5rwMewPoL9jjmJJz3OufwWmCyp/skYKfTPilHe0YfEQkAZUBTH2NlX98txpiFxpiFY8eOHcgtKYqijDi6Ywnc8hAD0SqaOqNUORXrAApCTtRTjgV3kF6NDWRoEYF99VGISJGIlLjbwFLgLeAhwI1CuhR40Nl+CLjQiWSajnVar3DMU+0issTxP1yS1ccd63zgSceP8RiwVEQqHCf2UqdNURTlgKMjnM671DoAQdHYEaXKq1EEcmgUQa9w6Gl6AvrVKAZieqoBHnBsYAHgD8aYR0XkZeA+EbkM2AZcAGCMWS0i9wFrgDhwhTHGXSP+eeBOoAB4xHkB3Ab8VkQ2YDWJC52xmkTkOuBl57hrjTFNA7hmRVGUUUeHJ0FfW7inoLjv5e1MG1PEoumVADR2RnjP1PLUfjcpoHcdRWEoPc17V2Z7BcU++yiMMZuAeTnaG4FTe+lzPXB9jvaVwBE52sM4gibHvtuB2/u7TkVRlNGOV1Dk0ih+8M+3ee/MKhZNrySZNNb0VJQ2PR07s4r/OuswFkxNryJwHdxAxnqJ/Ix2XZmtKIoyKujP9NQViacyxrZ0x0gaqCpOm57yAn4uP3FmhinJ75NU5FPQ4xzPECBDFB6rKIqi7Gfa+9AokklDZzRBV9Qe09hhF+V5ndm94QqF7JXZwVRZVBUUiqIoowJvEaG27syCQm7dCPeYhg5b8tTrzO4NV1BkRzelBYianhRFUUYFffkoXAHhHuPWxvaannrDzS6brTkU9NKejQoKRVGUEUK746MoyQv0iHpyBUSXkzG2sdMxPRX1b3rK70VzcCOiVFAoiqKMEjoitjZESX6AaDyZsc8VEB1ZpqeKwiD90atGkcN3kQsVFIqiKCOEjnCc4rwAwYCPWCJTUHg1CmMMTZ0RKgqDGaute8M1MWUf67aH1EehKIoyOmgLxyjJDxLy9xQUbrRTImmIxJN2VfYAIp4grTFkC4TCXgRINiooFEVRRgh72sJUl+QR9PuIxjPzn3ZEEqntzki8R/qOvnCTC/bQKNT0pCiKMrqoa49QU5qf0/TkDZ3tjCRo7IwMKOIJ6HW9hJqeFEVRRgHGGB59azexRJK6tgjVpXmE/NK3oIjGacxK39EXbo6n7KgnN8eTahSKoigjmDd3tPK5373Cbf/aTEckbjUKv69H1FOnx/TU2h2jpSs2YI3CXWjnTQrobR/KmtmKoijKENPoLJy79bnNANSUWh9FD40imtYoapu7gYGtygYI+nJP9a7gCPRTIEkFhaIoyjDiFihqcHI31ZTkEwr4iCYyndle09O2xk5gYHmeIK05xJPJnO39oYJCURRlGGkLZ+Z0qi7Nzxke2xmJp6KXtjV1AWSUQe0L1wcRyxI+riYRT/aoMJ2BCgpFUZRhxNUo3neoLeNcXZpHMJczO5pgrKNBrN7ZBsDkysIBnSMlEBLZGoUVAYl+BMVAKtwpiqIo+4m2cIxQwMe3zp7DcTPrKM0PWh9FD2d2nOrSPHa3hVlf10FJfoAJZfkDOocrELI1B7c+RbZQ6tF/oDejKIqiDD1t3THKCoLMqi5mVnUxYKOQsn0U3bEEZQVBDhtXwrrd7RxaU4JTorpf3LDYeLbpaYAahZqeFEVRhpG27jil+ZnP7CG/j2g8kdHWHU1QEPRzwuwxAEytKhrwOT78nkmEAj4+OH9CRrvrzM72XWSjGoWiKMow0haOUVqQmQE2FPD1mLy7YwkKQn7mTS4HoCR/4NP39DFFvPPdM3u0T3F8HBPL+zZhDVijEBG/iLwmIg87nytF5HERWe+8V3iOvVpENojI2yJyuqd9gYi86ez7mTh6k4jkici9TvtLIjLN0+dS5xzrReTSgV6voijKaKCtO0ZpfqagyOXMdjWKM+aO4xunH8pXTpu9z+c++8jx3P3pRVy8eGqfxw3G9HQlsNbz+SpgmTFmNrDM+YyIzAEuBOYCZwC/EhG3ivdNwOXAbOd1htN+GdBsjJkF3Ah83xmrErgGWAwsAq7xCiRFUZTRwE1Pb+SVrU0597V299Qogn4f8aQh6fEddMcS5Af9BPw+rjh5FuWFAwuN7QsR4cRDxuIbigV3IjIJOBu41dN8LnCXs30XcJ6n/R5jTMQYsxnYACwSkfFAqTHmBWOMAe7O6uOOdT9wqqNtnA48boxpMsY0A4+TFi6Koij7lUff2kVdW3ifxkgkDd9/dB0fuemFnPvbwnHKCjLNSKl1D54FcmHH9DQcDFSj+AnwH4BXF6oxxuwCcN6rnfaJwHbPcbVO20RnO7s9o48xJg60AlV9jJWBiFwuIitFZGV9ff0Ab0lRFKV3OiJxPve7V1n0vWWEY4n+O/RCo7PiGmB3a6bQMcbkND2FshbIxRJJYglDYXCECgoROQeoM8a8MsAxc+kwpo/2ve2TbjDmFmPMQmPMwrFjxw7wMhVFUXrHq0k8sXbPgPr8aeV2NtZ3ZI7TnhYUT79dl7GvK5ognjSUZAsKJ0mfu5ai2xFUI1mjOA74oIhsAe4BThGR3wF7HHMSzrv7DdQCkz39JwE7nfZJOdoz+ohIACgDmvoYS1EUZb9S75ngtzd193t8Imn4xv1vcOqPnul1nD1tkYx9mxtszqbJlQUZ7a7pKeo4tMNOvez8kapRGGOuNsZMMsZMwzqpnzTG/BvwEOBGIV0KPOhsPwRc6EQyTcc6rVc45ql2EVni+B8uyerjjnW+cw4DPAYsFZEKx4m91GlTFEUZMtrCMe5ZsY2IZ+1CvcdktLMlLSgSScO0q/7Oj//5dsYYLV3RdF+PcPBuN3ZmCorVO1sBmDuhLKPdXSAXzdYoRqqg6IMbgPeLyHrg/c5njDGrgfuANcCjwBXGGPfb/zzWIb4B2Ag84rTfBlSJyAbgazgRVMaYJuA64GXnda3TpiiKMiSs3NLEmT95jqv+8iZPrUubhtwJflxpfoagcH0Otzy3KWOcZo+geMpjYqprtyasieUFqZTiLm/taKM4L8DUrJxNKdNTIlNQFA6T6WlQC+6MMU8DTzvbjcCpvRx3PXB9jvaVwBE52sPABb2MdTtw+2CuU1GUg5sNde1MrSrqt3IbwFfuXUXEeXJv6MjUCgI+Ye6EUnZ4BMVux3dRFMqcPps6Y6ltr2Cpa4/YvEzl+RmObbAaxZzxpT3CU7OzvXa5pqcR7KNQFEUZNTR0RDj9J8/x8BsDc2c2dEQ4+8hxQKb5qK49wpjiPCZVFGQIil1O5FJhXuak3eTRFvZ4HOH17RGqS/KoKsqj0SOIuqMJVu9s44iJmWYn8AqKTB/FaDQ9KYqijDh2tnSTSBp2t0b6PTaZNIRjScoKQxSG/LR0pbWC+vYIY0vymFBeQHs4TlvY7tvTi0bhmp6qikIZYbB17RGqS/KpKg5lCJPn1tcTiSc59fBqsnFNT9HE6PdRKIqijDjcSnGt3bF+jsy0/VcUhmjOISjGl9uIJHfydzWKbLOWKwQOG1/Cbk90U2t3jPLCIFVFIZq6oqlMrf9cs4fS/ACLplf2uC7XmT2awmMVRVFGDQ3tdsJ2NYC+8AqKsoJghumpqTNKVVEoldm13alE5wqMjkhmZbqWrigFQT9Tq4oyTE/dUbuiuqo4D2PSmseanW0smFqR048SygqP7VLTk6IoytDhhrW25dAoNtR1cOqPnk6tX+j2TMAVRcGMyKWuaJzCkD+1dsENnXUFRXuWIGrqjFFZFGJcaT5NndHU8eGYTeZXVRxyjoumxs/O8eTSw0ehGoWiKMrQ4Ya15jI9fedvq9lY38mz79hUP+6TemEoQHlhKMNHEY4nyQ/5yXP8BZGYnbRdbSG71nVzV5SKoiDjSm3K7jrH/NTtCAq3vrVrGuuIJCgM5Q48TS24ixs2N3Tyiyc3AKpRKIqiDAnuRJw9kYdjCZ5b35DaBvtUD66PIq1RJJKGaDxJfqCnRuEeE40nM3JANXVGqSgMUV1q61rXtYcxxqTqSJQXWEHR6gijzkic4rzcE38oIKnrO/mHT6fSgIzYldmKoigjlW2NXVz0mxdzroRuz9IocqXSSJmeHGd2a3eMZNKkhEKBx/QUjiVJJk3KOQ1pvwVYAVJZFEoVFOqMJIjEkxhjJ/gyp09bOEYiaQVIUV5ujSLkt+dcti4zN5S/n3Tg+wsVFIqijFq+et8qlm9s5IVNjam23qKevM7tPc5q6bTpyU95YYikscd5fReu6SkcS9ARjZM0MLmisMeYrkaRF7CTfHcskfYtBK2z3L0uV5PJDrF1CToaRUN7/yG+7wZaClVRlFFJNJ7kla3NAHR5IpDc1dVt4RjGGJxCmhmCw80M25URHmsn8uauWCo8NT/o85iekimz0eTKAt7c0ZrSKGKJJO3hOJVFoZTDORxLZIS1FoX8+H1Ca3eMzoht702jcH0U7vhXnjo7JQCHAxUUiqKMSrY0dqa2XbNSJJ6gtTtGUchPZzRBOJZMTdxuFNTs6mKP6clOxPlBfyrVd0c4nuqTn6VRuMImpVE4n12/RUVRyGOqSmRoJiJCaX6Atu44na5G0YuPwhUUrsby6eOmp0xXw4GanhRFGZVkpMlwnrbdFBkzxhYDmaahtm47Oc+uKWZPm3U0e6Oe3Em7PRLLMBllaBSOYJhUUZAxfrOT56myMER+SrAkeyyUKy0IOhpF36YnVzi5GkxecHinahUUiqKMSlytIOT3pTQK1zwzY2wRkGlucrdnVZcQiSdp645nLLgrzks7oV1BkR+05qKgXwjHEqnw2ZnVVhC553XXRlQUBTNMT+Gs1BtlBUHawrHUYr3eTE95AR8i0B6JI5IWHMOFCgpFUUYlrkYxZ0JpD0Ex09EosgWFT2DGGCtE6jvCdEcTqYm4KCUo4j00gbyAn3AsrVFMH1NEftDHjmabLNA1PVUWhcj3OLO7o8mMccocjaIr5aPIbXoSkVTZ0/yAP+VnGS5UUCiKMiqpawtTmh9gSmVhyvTkCoy5E0qBzBrVbeEYpQXBVGirjT5KUOj4D1yNoiMST/kW3Ek/P+gjEk/Q0m0FQnlBiAnlBexstYLC1SgqC0P4fELI7yMcS6aim1yNojTfMT1F+9YoAAqdffnDbHYCFRSKooxS9rRFqCnNZ2xJHlsbu3htW3Mq4unoKRUAbGvqSh3f2h2jND+YFaaaoMDxE3g1inDc1QTsFOnVKEJ+H/lBHxPLC1IahZsjqrzQLqrLD/oyop5cP0dpQZC27njK9FTcl6BwtJDhWo3tRQWFoigjnkTS8PTbddgKyZY97WFqSvNTOZQ+9Kvl1LdHKMkLUFkUorokjy0N6ciotu4YZQXBVH6ltu443U4+JyBl6umMxHvUqM5zNIq2bquViIgVFC1WY2nqjFGSF0ilB88P+jN9FB7TU5vHmd1XxTpXQAzXamwvKigURRnx/OXVWj55x8ssW+spMdoWobo0j6VzalJtu1vDjCmxKTSmVhWyNVujKAj00CjcydrnE4pCfjoiCcLxTEGR72gULV3pVdkTywto6IgQjiWcPE+h1LkKQv4e4bEApQUBoolkqiRqb1FPkBYieSooFEVR+ueh1221ur+u2gHYgkN1jkYxq7qEb58zB7BrK8Y4GsbUqiK2etZatDoahVdQuHmYXIryAtaZnTXBuxpFezieStExwalTsas1nBJCLvkBv3VmO4kEvVFPADtbwhSG/D1KoHpxTWEFo8FHISL5IrJCRF4XkdUi8h2nvVJEHheR9c57hafP1SKyQUTeFpHTPe0LRORNZ9/PxHHli0ieiNzrtL8kItM8fS51zrFeRC4d0rtXFGXE09ARYfnGRgqCfh5fs4fnNzTQ3BUlljDUONqDa+vf2thFVZGjUVQWsqctkpr028JxygqCBP0+CkP+HhqFO05HNN7Dt5Af8BOJJYnEEykH91jn3I0dESLxRIYvwfoo0uso3PDWCseHsb2pq9fMsS6jzfQUAU4xxswD5gNniMgS4CpgmTFmNrDM+YyIzAEuBOYCZwC/EhH3Tm8CLgdmO68znPbLgGZjzCzgRuD7zliVwDXAYmARcI1XICmKcuDzyFu7SSQNv7z4aCaWF3DlPatSayhqnJTexc5TfncskTINTamyq6drm7tIJg0tXVHKnAyuZZ6Fb17zj6tRhGNJQn5fKglfftBHOG6T/LmL37zJAiOxZMo/4e5zcz0VBNOaw5hiK1y2NHamNJPeGFXObGPpcD4GnZcBzgXuctrvAs5zts8F7jHGRIwxm4ENwCIRGQ+UGmNeMNYjdXdWH3es+4FTHW3jdOBxY0yTMaYZeJy0cFEU5QBj+YYGpl31d2qb076Fv72+k1nVxZx8aDUfmDeBho4Iu5yw1GpXUHiih1zzzkTHNFTb0k1rd4xYwqS0AFdQdETiGX2L8vyOoEhkhKXmORpFNJ5MaQfu/ogrQAJejcJPxPFReE1bruO9pSvGWEdo9EY6PHYUCAoAEfGLyCqgDjtxvwTUGGN2ATjvboXwicB2T/dap22is53dntHHGBMHWoGqPsZSFGUUsHpnKxfcvDy1nqA/fvm0LdDz6rYWwK5ufnlLE6fPrUFEUtrC+jr77Frj1H7wrkdwo5omOmk2djR3pxbiuYLCm0rD27c4L2Cd2bFExgSdoVEE0ovw7DVak1RehkaRNj15NYIxHuFQU5bf53dROMpMTxhjEsaY+cAkrHZwRB+H5/LOmD7a97ZP+oQil4vIShFZWV9f38elKYrybnLNg6t5eUszq7a3DOh4tyqcm921oSOCMTCl0pqRXEHxzu52ID3xe804rqCoLskn4BN2tHSnFuS5ju50mGpmTYiUMzvLyW3XUSSIxBKeENhsjSI9nRYEXWd2pmZSmh9IZaYdV9qPRpFKTDgKnNlejDEtwNNY888ex5yE8+7GrdUCkz3dJgE7nfZJOdoz+ohIACgDmvoYK/u6bjHGLDTGLBw7duxgbklRlH0gkbTPbZG4ffLPptNxJLvH9UU4lmBrozU5ue/uSmtXILhV4t7e005lUbr2Q1EO05PfJ4wvz2dHc3dqnGpXo8gP0tARJZpIZlSZ80Y95QcyNYpIPJkhEDI0ilhP01M4liCcZXoSkZSz3fWv9Ia7EHBUaBQiMlZEyp3tAuA0YB3wEOBGIV0KPOhsPwRc6EQyTcc6rVc45ql2EVni+B8uyerjjnU+8KTjx3gMWCoiFY4Te6nTpijKCOCkHzzFZ+5ayQOv7uCCm19gR0t3xn53YZmb4sLLTU9vZNpVfyeesCGkG+o6iDrbbgrxlKAotpOqm2r7nT3tqUkfMn0UpR7twi6K606t2HZNP2UFwZQ5qqfpKZ6ql+3iTvxe01OmRpHIyPCa79Eosp3RY0qssBvXj+nJzQM1EpzZA6lHMR64y4lc8gH3GWMeFpEXgPtE5DJgG3ABgDFmtYjcB6wB4sAVxhi3sOzngTuBAuAR5wVwG/BbEdmA1SQudMZqEpHrgJed4641xvR8bFEU5V0nkTTUNndT29zN+jprCtra0JlyIkO6JnVzDkHx/UfX2X1dMcaW5KWS/E2pLExrFB3ZGoUVFLGEyXgiz+XMBphYXsjyjQ3Ut0cI+iW1r9xT2yHD9BQKOJllYxnrF/ICVqNI+ExKIGT6KJJZPgrr/O6OJXqk6RiwRhEcOaanfgWFMeYN4Ogc7Y3Aqb30uR64Pkf7SqCHf8MYE8YRNDn23Q7c3t91Kory7uJ1ULsTe21zWqMwxtDmVGhr6sosS+pqEWC1jbEledQ52sOi6ZX85dVaovFkSqOo8vgWXCaUpydav09SfoFSzzHjyqwAqm+PMKY4L5WFtdKzito7kbu+jl2t3cybVJ5qzwv6McYKqLTpqa+oJx/RRJLOSLxHdJOr1YzrR1AUjibTk6IoSi7coj9evGGtjZ1Rok5yvabOzDKeb+xoTW3/+dVanlpXx562MCKwcGoFSYN1QrdHqCwKpSq+eQXFjDHFGWO6aym8xxTnBUka2N7cldJKIO3UhtwRU3vaIhkCxztZu85sN0tsZyROIml6OLPtfccyfBRgtSOfQPWAndkqKBRFGaXkFhRpjeLN2rQwcCvAufzqqQ2p7Vue3cSn7nyZPW0RqopCzHKKAm1p7KS+PZLxRB7wp6cstziRS4kz4Zfme81KdpKtberK0CKqir3+jfRE7BUy3kiqoqwIqNR20JeqnJftowCbVTY78d+l753Kzf+2IGOcXKigUBRl1OM6qudNKku1bXc0imTS8H+Pvc3E8gKOnFiW4cx+fXsLT6yt4zPHT88Y78VNjYwtyWdqlRUAWxs6qe+IZGgCXqaPyRQURXkBCoL+jBXSrvlmT3skQ4B4hUZRL45w7/GFnmO8mkNewJ8qZuSd+F0tIp40PSb68WUFLJ07Luc9Zd+PvQcVFIqijFLcPEZu7YcxxaGURrG9uYu1u9r495NmML4snxc2NXLxrS8C8Ojq3QR8whdOnpUx3uaGTmpK8xhTHKIo5GdrU5fjWwiRi8nO2gqX4rxAhkZg2+wkm0ialGkKYExRWvh4U3h4zU3e7UyNInNhXVpQpNtLPIJlb6OW5owv5ZtnHc5Jhwx/yP9Aop4URVF64GoUZx4xjtk1xexpDfPzpzbQHU2kCgYdUlPC8xsaAHh+QyMA/1y9myUzqjKe6l1ch7PN/NpFa3csVQwom6A/8zl3TEleqnKcizfxXkmGLyIzJDbdntv05B3Hm/Y7L+CjLWwFhVeTKfFoI3srKHw+4bMnztirvkONCgpFUfYKNytraUGQixdP5R9v7sIY2FjfkRIUUyoL8QQ4sbs1zMb6Tj6+aErGWJ987zTuXL6FDidKatqYQtbsbKM9HM+YvAH+9LljU0LKy3+ffTjhWDKjzVuT2isQvDWocy3Wg9y+DoCQP9MX4QoKr+nJq71kO7NHIyooFEXZK9xV167pZrbjhN5Q18H2pm5Cfh81pflcd95cIvEEz61v4PXaFqCnf+FzJ80k4BM+/B6bvGF8WQGPvLUboIc56ZhplTmvpzpHuKlXEyjuJVurVxMoCvnxCSRNptbhFSZ5WesrUs5szzheoTQSnNH7ivooFEUZMNF4MhXN1O2Yedwn5qlVRfh9wvq6drY3dTGposCm0Sgr4OLFVoN43cn5NKki079QXZLHt86Zw5wJpYB1NrtVT7MFxWAozsttYuoNEUlpMBkaRSi3Mzs/6HFmB72mp333UYwkVFAoijJg/uuBN/nAL/7F7tZwWqNwzDKhgI9pVYWs32NNT5M8zmY3HPUNR8i4mV2/vvQQjplW0aPSW5XHf7EvgiK7KJGX0l40jLIcgqIwr5fw2KwIqFznUtOToigHFfe/YisFrK9rpyuaQISM5HmzqovZWN9JQ0eEozxhs+7E//r2FsoLg6mJ9IunzOaLp8zucZ7KIRIUGXmcsgTDM984mY4cvg5XQHhNT4XB3qKecrd7BZRqFIqiHDS4JhaA9Xs66IrEM6q3gfUtbG/qoqUrlqopDen8Ru2ROJMq0u29UVU8NIIiL+DDvbxsjaKiKNQjxBbSAsJ7vHehX6YW4dn2mJ68znL1USiKctDwwsbG1PaG+g66YokedZ/HleUTcdJ2jPdkRy0tCBBwZuxJ5T0n52wqCodGUIhISqvor/SoS2l+kKKQP0M4eMlOJ56r3ctIWDC3r6igUBRlQKzY3ERewMe8SWVsqLMaRfYk6E10590WEeJOTYrDx5f2e64qz4K4fREUkHZEF+cNbJypVUVMqSrqdX921FOubS/qo1AU5aBh5dYm5k8uZ8bYIv7+xi5Cfl8PQeFNnd1bvYVPHjet33O5GohPZJ/TbLuO6N7CY7P52vsP4YunzOp1/0B8FF7UR6EoykFBZyTO6p1tLJpeyfkLJtEWjvOvDQ05BEVaE8gWFPf9+7H8+fPHDkhDEBEqikKUFgQz7P17Q1EogEimQ7ovQgFfn6G0oV59FLnHVx+FoigHBet2t5FIGuZNKmfB1Eo+utAujGvJqjPhCofS/EAP/8Wi6ZUsmJp7sVwuqopClBXsu9GjKM9PcSjQIwR3b/GuzM5O55GLA8H0pIJCUZR+eXt3BwCHjisB4CunHQJAU1dm5brCUICS/EC/ZT4HwqSKAsaX9R8h1R9FoUBGmOy+EvDnNj0FehFE+b0IkNGE+igURemXd/a0UxTyp8qcTigv4NZLFuZMAT6xvCAj4mlv+d8PH4Vxl2fvA7NrSlKO9KHmPVPKU9vZJrIplYVsa+rqNXpqNKGCQlGUfnlnTzuzakoyzDenzanJeeyPPzp/SMwtvdWhGCxXnXnYkIwzraqQLY1dGW1HT6ngmg/M4bVtLT2O//Pn38uWxs4hOfdw06+oE5HJIvKUiKwVkdUicqXTXikij4vIeue9wtPnahHZICJvi8jpnvYFIvKms+9n4ohgEckTkXud9pdEZJqnz6XOOdaLyKVDeveKcpBijOHBVTtSGWCzuf+VWs795fNE4nb/O3vaObSmOOex2cyZUNoj6d+BwINfPJ5nvvG+Hu2fOm46P/v40T3ax5bk9ZrAcLQxEJ0oDvw/Y8zhwBLgChGZA1wFLDPGzAaWOZ9x9l0IzAXOAH4lIu7jxU3A5cBs53WG034Z0GyMmQXcCHzfGasSuAZYDCwCrvEKJEU5kHmjtoXP3PVyarIeSl6vbeXKe1bx8yfX99i3fGMDV/35DV7f3sKm+k52tXbT0BEd0PqHA5mygmCq+t7BRr+CwhizyxjzqrPdDqwFJgLnAnc5h90FnOdsnwvcY4yJGGM2AxuARSIyHig1xrxgrOHx7qw+7lj3A6c62sbpwOPGmCZjTDPwOGnhoigHNNc8tJon1tbx+vbW/g8eJJsbrHP6jue3UNceTrW3dsf4/O9eTRULWl/XkTKruJXslIOPQXlZHJPQ0cBLQI0xZhdYYQJUO4dNBLZ7utU6bROd7ez2jD7GmDjQClT1MZaiHPBUOzZ6d1IfSrY6tvZoIsmvntqYan9nTzut3TG+e95cfGJrS7y2rZlQwMecg1yjOJgZsKAQkWLgz8BXjDFtfR2ao8300b63fbzXdrmIrBSRlfX19X1cmqKMHtxymmt3tQ/52Nsauxhfls8FCybxh5e2pbKo7mq12sXMscVMqSxkY10HK7c2c8SE0oyFZsrBxYD+8iISxAqJ3xtj/uI073HMSTjvdU57LTDZ030SsNNpn5SjPaOPiASAMqCpj7EyMMbcYoxZaIxZOHbs8BciV5ShwF3MtmZnX89l/bOpvoMdLd389bUdqbZtTV1MqSzkzCPHE00kUwWFdrd2A3bh3KzqYv7+5i5e29bCqYfnjnBSDg4GEvUkwG3AWmPMjz27HgLcKKRLgQc97Rc6kUzTsU7rFY55ql1EljhjXpLVxx3rfOBJx4/xGLBURCocJ/ZSp01RDnhanMVs63bvvaB4a0crp/zoGY674Um+cu8qtjkmp61NXUytKmT+5HIAXt3aDMDOljDFeQFK8oMsnTsOsCukPzWA/EzKgctANIrjgE8Ap4jIKud1FnAD8H4RWQ+83/mMMWY1cB+wBngUuMIY44ZtfB64Fevg3gg84rTfBlSJyAbgazgRVMaYJuA64GXnda3TpigHPM2OoGgLxzMK7Dz1dh3H/u8yNtSlfRfReJJbnt1IOJYgGk/S5ZQp3ZoV9//42j10RxPUt0eYUllIWUGQ2dXFvLLNCordreHUquqPLpzMY185kfs+d2yPdBzKwUW/f31jzL/I7SsAOLWXPtcD1+doXwkckaM9DFzQy1i3A7f3d52KcqDR0hWjOC9ARyTO7tYws6rtOoZ7V2xnV2uYr9z7Gg9/6QQAnltfz/f+sY6a0nxuenoj3bEEz3zjZHa3pSOaakrzeGz1bt7vmJGqnUyvx80aw53Lt3DcDU+yo6WbE2aPSfVxU3YoBzfqnVKUd5GVW5q4b+X2fo8zxtDSHeMwZ6Le40z4xhhedZ7+39rRRkNHBIC391iH9/89+jbrdreztbGL5s4ou1q6yQv42HD9mVxy7DRWbG7imXesO9Fd+XzVmYfx3+fMSRUcKlLtQclCBYWi7APd0QTNndH+D3Q4/+YX+I/73+j3uLZwnETScNh4KyjcaKT1dR3UtUc4d/4EANY5EVHr91gz1I6W7tQYr21vZldbmAnlBQT8Pj5x7FRK8gNc/4+1AIwttoIiP+jnsuOnc9enjwH2vVCQcuChgkJR9pKWriiHf/tRLvj1CwM6PhxLr7BO9JOkznVkHzrOrl1wo5GefceGf3/2hBkArN1lHd3r69IhtJefOAO/T3h1a4v1OZS6qb+DHDdzDOGY1RyycynNnVDGHz+7hKvPGprcSMqBgwoKRdlLbnrGLlTzOpX74hUnsgjSjureaHZCY8eX5lNRGEz5Gv61oYEZY4o4YmIZY4pD3PzMRtbuamNDXQezHR/GJ5ZM5dCaEl6vbWFXSzfjy9OZXKeOSderriwKkc2xM6tSq7IVxUWNkYqylyzf0AjYQjbGmFSa6UTS0BGOU1aYacJ5aVNjarupM8qY4t6zo7oaRFVxiKK8AL97cRtHTSrnpU1NXOAUDZo3qZxl6+o486fPAfD10w9l6ZwaRIRDaop5YVMjDR3RjJTf0zy5ioIHQPpr5d1BfymKshe0dsdYvbOVUMBHNJFMOYIBbnp6A8f/35M9fBevOYvaABo7+tYonlvfQFHIz5wJpcxz1jr8x/1v0B1LcOYR4wG49rwjuPvTi/jUcdP46YXzOX3uuJSwmlVdzJ62CImkYUplWouY6tlWlIGigkJR+qEzEmdrVl2BlVuaSBo43VmU1tptTUXGGO5bWUt7OM4fVmxLHZ9MGlZta2GRk3a6KUuI/PbFrXzlntdSYzz9dj3HzRpDXsDP9z50JA984b0Uhvx8+OiJHDuzCrAFgk48ZCzXfGAu587PTIHmhtICGeVHpx6A6b+V/Y8KCkXphy/98TVO+sHTGbUbXtzUSMjv46RDbMoYV1C8UdvKtqYuCoJ+/uQJg91Y30F7JM6ph9vcmU2dkdS+zQ2dXPfwGv66aictXVFqm7vtegZn7LKCIEdPqeC5/ziZH14wb0DX7BUUM8emhcP40n2vPKccfKigUA46nt/QwM+Xrc+IQuqLJ9fZdQfLNzak2l7a3MT8KeWpDK+uoHi9tgWA846ewNamrtQ53txhU4WfdKid/BsdjcIYw7f++iaxRNLp35rK8TQua1KvKs7LqDDXF966Cd4SnT6f8M2zDucPn1k8oHEUBVRQKAcwLV1RHlu9mw2e0NENdR189u6V/Ojxd7j6L2/2O0YskcSdm5c5AqMtHOOtHa0smVGVWnPQ5giKnS1hgn5h8fQqjCFVCnNjfQcBnzBzbDFlBcGU6enBVTt5fkMj3zj9UERg1bYW2iN2rOK8vY81Cfp93PDhI/nbF4/vse+zJ87gvbPG5OilKLnRqCflgOTBVTv4yr2rMAYWT6/k3n8/FoA/rthGImlYPL0ytcK5L97Z04675GHFZptmbM3ONpIGFkytoNQRFK5Gsbu1m5rS/JTpZ1N9J4eNK2VTfSdTKgsJ+n1UFYVo7IzSGYnz3b+vYf7kcv79xJk88OoOVm1v5nBnkV1J/r79e164aMo+9VcUF9UolAOSJ9bWMaY4j/fOrKK2Ob1a+aXNjRw9pZz5k8vZ1RrGJinuHbe628mHjmVXSzfGmFTEUk1pXkqjcAXFztYwE8oKUjWjN9V3OO+dzHB8BVXFIRraI2yo66ChI8rnTpqJ3yfMrilmW1NXKgHgvmgUijKUqKBQDkhWbW/mmGkVzJ9czp62MImkoS0cY83ONhZPr2J8WT7ReDLlKwC4b+V2/v23K9nVmhYsT6zdw+TKAo6dWUVnNEF7JJ5aLFdZGKLUeep3BcWuVrvArSgvwLjSfDbVd5JIGjY3djJjrNUyplYVsaWxMzWOu0K6uiSfPW0ROl1BsY8ahaIMFSoolAOOxo4I25u6mT+5nPHlBcSThsaOCK9tayHpmKLGlxcAsKvFrnheu6uNbz7wJo+t3sOV96wCoD0cY/mGRk6fM47xZenj3fUR5YUhAn4fxXkB2rrjJJOG3a3h1LFTqgrZ3tzFjuZuovEkMxwtY+ZYu8Zhu6PpVDgL82pK822mWGcVtmoUykhBBYVywPFGrY0wmjepPBUOuqs1zC4nYd60MUVMcCZzN4ne3S9sIeT3ccGCSaza3kIskeSVrc1EE0lOOaw6tbp5V2s3TV1RivMCqdKgpfkBWrtjNHRGiCUME5yUGWNL8mjoiKY0lEkVdrGbG676yhbr86hwUmaMK7Oaxab6ToJ+IU9LjyojBP0lKgcc7uK4mdXFqTxHu1q7Uym5K4tCqcl8V2s38USSx1bv4dTDazh+9hii8STr93Sw09E2po0pSmsgrVajqChKp+coKwzR2h1lt5Ph1Q1rHVucR0N7hAbHpzGmJJS6LoCVW5sRIeUQrymx/TbUdVCcF8gIa1WU4UR1W+WAY1dbmJDfR2VhCJ8z2e5qDdPQEaUkP0B+0E9ewEdewMeu1jCvbG2mqTPKWUeOY3aNjTh6a2cru1q78QlUl+RhABFHUHTFqPQkzhtbkkdde4Q9bVYQ1ZSmNYr2SJzaZltlrqrIagw2+kmobe6mvDCI34m/rXG0lo31HUysKNj/X5SiDBDVKJQDjt2tYWrK7OK0isJgSiA0dERSifhEhHFl+exuDfOOU/Tn6CkVTK8qoijk560drexsCVNdkk/A7yPo91Fdkseulm6au6JUeDKvjivNY3drmPp2KyiqS+053HoPb+9uRySdrTXo96UWxFV4BI4rYJIGivO0JoQyclBBoRxw7GoNM77UPpGLCNPHFPH27nYaO6JUeSb4qqIQTZ1RNjd0URjyU11ihcuUqiJ2tnSzuy0zRfe4sgJ2tYZp6oxmTPDjSvNp6IikfBGu5uBGM63d3U5lYSilOUDaT1HuyTBbnBegKOQHoEQd2coIol9BISK3i0idiLzlaasUkcdFZL3zXuHZd7WIbBCRt0XkdE/7AhF509n3M3EMsCKSJyL3Ou0vicg0T59LnXOsF5FLh+yulQOa3a1hxnlSax89pYJXtzVT1x7OSO1dWZRHQ0eELY2dTK0qSvkEKgqDNHfF2NUSTjm9ASaU5bOrtdv6KLyaQFk+SWMX4lUWhVJObvdc63a3UVWcWeNhphMqW5FV+8F1eGtorDKSGIhGcSdwRlbbVcAyY8xsYJnzGRGZA1wIzHX6/EpE/E6fm4DLgdnOyx3zMqDZGDMLuBH4vjNWJXANsBhYBFzjFUjKwcfNz2zkP3spI/rc+npe2dpMXVs4tZbBZcHUCtrDcTbWd2ZM2K5GsaWhk2lV6fTbFYUhmrui7GztzqjlMK4sn21NXXRGE1R6nNmu8/qNHa0pcxOkNQpj6FF7wl25XZ5Vs+LISWUAFKlGoYwg+hUUxphngaas5nOBu5ztu4DzPO33GGMixpjNwAZgkYiMB0qNMS8YuxT27qw+7lj3A6c62sbpwOPGmCZjTDPwOD0FlnIQ8chbu/nrqh3EE8mM9hc3NfKJ21bwkZuWs+h7y4glTEZCvQVT088X3gm7qjhEXXuEbU1dTPOk3y4rDFLb3E04lkxFOwFMKCsglrAruSuL0uO4voX69khGedEMoZQlKHrTKOY7tSda+qmApyjvJnvro6gxxuwCcN6rnfaJwHbPcbVO20RnO7s9o48xJg60AlV9jKUchBhj2FzfQSSeZGN9Zm2I2/+1ucfxEzwT/LSqQmocB7Mbigpp53I8aZjuybZaURgk6hQiytYoXA5z8jFlt1d7BEXQ70udtyqr7OjM6mJCAV/G+JAWFJuy7lFRhpOhdmbnCvw2fbTvbZ/Mk4pcLiIrRWRlfX39gC5UGV00dkZpC9vUFqt3tmbs21DfwaLplfh9wpIZlfzhs4s59bDq1H4R4dvnzAVgkifs1PvEP7smXb/B+5TvncgneMxZc8aXprYrC0OEnLKiY0oyNYcrTp4FkArTdSnOC/CPL5/Avy2ZmtF+6DgrgD753mkoykhhbw2he0RkvDFml2NWqnPaa4HJnuMmATud9kk52r19akUkAJRhTV21wPuy+jyd62KMMbcAtwAsXLiw7yxvyqjgM3etZPXOVr7zwbksnTsu4wn7mw+8xfzJ5cwYW0wskWRbYxdnzB3HpcdOY3ZNMYfUlPQY7+yjxnPUpJOZ6NE0qjzmI2+fco+g8Gom4zyO7fygP7Xt8wn/tmQqtz+/uYfm8IklUwn4fJziEVwu3uJCLkG/jy03nN3zC1GUYWRvNYqHADcK6VLgQU/7hU4k03Ss03qFY55qF5Eljv/hkqw+7ljnA086fozHgKUiUuE4sZc6bcoBztbGTp5Yu4ddrWH+sGIb4ViCW5/bBMDcCaV0xxLcuXwLANuauognDTPHFnP2UeNzCgmXyZWFGYV/Kj2Tutd5XO6YpwI+yfBp1Djagqs9ePnvcw7n1ksW8vHFmam9RYSLFk/JME8pymijX41CRP6IfbIfIyK12EikG4D7ROQyYBtwAYAxZrWI3AesAeLAFcYYt4zY57ERVAXAI84L4DbgtyKyAatJXOiM1SQi1wEvO8dda4zJdqoro4BWp2JbWWH/i8iMMfxxhXVNnXZ4Dc9vaOAPL23jn2v2UBD089AXj+f0nzxLnbMKemOdTeM9w1Puc6BkRyK5uOk5akrzM9Y+BPw+fnrhfI6cWNajj4hw2pyaQV+DoowG+hUUxpiP97Lr1F6Ovx64Pkf7SuCIHO1hHEGTY9/twO39XaMysjntxmeob48MyKTy62c3cfMzGznt8GouPGYyT6zdw22Os/qfXz0Rv0+oLslL5W1avbMNIJXCezC4GsXxWdXeXNOT1yfhcu58jadQhoGmzdC6HaafOCyn12BtZb9ijEmlttje1MXkyvR6hbuWb+H12hZOmD2GuRPKmF1dzO9e3MqSGZXc9G8LiMSThPw+drR0c9IhY1N9x5bk8cLGRv77r2/x2xe3csLsMakCQoMhFPDx6FdOYIrnmsCbzVXzLSkjhDvPhrYd8M3dEHz3f5eawkPZr7iJ8gAefWs3APFEkuc3NPA/f1vNw2/s4qv3vs7SG5/lqj+/SW1zNx9dOJmgU+fhmOl2DcTcCekoo7HFNgnfb1/cCsC15/ZQVAfMYeNKKQxlPi+VFQQJ+oXJmphPGSm0ObE/W59Pt21YBr84BqL7P5RaNQplv/K2k3AP4Ml1ddSU5fOtB96ktCDIpIoCHr3yRDY3dPK5373CvSu3U1EYZOnccak+C6ZW8vyGxoxsqt4Q1Ne/vXRAvo/B4PcJd396MYfUDN6cpSj7hbGHQf1aWP8EzDrNtv3zW9DwDmx5Hg5Zul9PrxqFsl95e7f1IZy/YBIvbGrkq/euoi0cp7a5m0++dzpFeQGOmFjGdz44l4BP+O55R2ZUdvvC+2Zy9ZmH8ZH3pKOrvWkyhlpIuBw7s6rHampFGTaiNmgjQ6ModoInNj+z30+vgkLZr7yzp4OxJXl8YN4EABJJw1dPO4RJFQWc75n8Tz28hte+/X7OPmp8Rv/8oJ9/P2lmxrqFsX2EqSrKAYcx0OksJG54B5JOIKlrjtrwxH6/BDU9KfuVLQ2dTB9TxKJplRSG/HxiyVSuPG02V542u8exJfkD0w7csNbSvXBgK8qoI9oJ8TCMOcQKiuYtsPlZaHgbQsVQvw52vgYTjt5vl6CPZMp+ZUtjF9OqCikI+Xnt2+/nqjMP2+cx3fxJHztmUj9HKsoBgKtNTDvBvr/5J3j4K3b7fVdBoABW3pE+vrsZ3rzfaiJDhAoKZb/RHo7R0BFJZWbNC/iHpA50VXEeK755Kv/v/Yfu81iKMuLpbLDv04637xuWpfeNnw/zLoRVf4D6d2zbU/8Lf74MNj01ZJeggkLZb2xttLWivZlZh4rqkvyMdByKcsDS5QiKiqlQNgVqV9jPp34bph4HJ/8XBAvh0f+0WkS4xe5/9e4huwQVFMp+Y0ujje+euh8EhaIccGx+Dn7/Udj2Yrpt52vwxwvtdtFYqJppt8UH770SfD4orrbCYuOT8PYj0LrDHrP6r7bNi+sIHyQqKJT9xjt7OvAJTBtT2P/BinKws+oPsP4xuOsDsOVftu1fP7Hv/jwoqk4LiuIa8HtikY75DJRPhZduhsYNMPdDdu3FfZfC1uX2mLcfgWsroW7doC9NBYWy31ixuZE5E3qufFYUJQe7VsGkY6BsMjx6tfVNrHsYllwB39gAwXyodASFPzOdPf4AzL/Yrqno2A3jjoJ/ux+Kxtj0H2/92b4AHv/2oC9NBYWyXwjHEry6rYUl06uG+1IUZWQRC0PdWtizBna9Dst/Do0bbZjrzFPgPZ+A3W9Yp3UyDoecDvlOChtXo4h19xx3vid/a9UsKJsElz9tt1fcml53sf4xeOO+QV2yPuopQ04iafj1M5uIxpMsmaGCQhlm2vdApB3GzMpsj3bZCbfoXf6NPvcjePb/Mtve+guYpF0LUT4VnvgfeMUJeS331IKrcu4hl6AonwKf/Ae8+Kt0hFR+Gcw5D579AWBgwSet6elvX4Gxh8L4eQO6ZNUolCFj5ZYmrv/7Gj5+y4vc+MQ7nHzoWI6fPab/joqyP/ntefCLBRDOLKHL366EH8ywuZIS8XfvejY9bd8/+Av7KqyCna+CLwiTFkH14VAyHra9YI8r9aS2L3cKY534/3KPPe04uPD3UFiZbjvsLFJVpCccDR+9CwrK4Y6z076QflBBoQwJu1vDXHr7Cu5+YSu72rq57rwjuONTizJSbyjKkLD6AfjL5fDgFfD2o+n2Z34Av/2wNefE01mLqVtj35/4H2viiXZCMglvOuaXO8+C20+H7U6NtBW/gbvPg+6WobtmY+w6h0iHjWQ67ivWxPSeT8CxX7THTDjaajciUONkRC6ugYAn55g/CP/TCsd/deDnnnA0nHGDXXMx8xQoGQeffgwKKuDpGwY0hJqelEHzwsZGVmxuIppI8KGjJ7J2VztX/+VN4knD4189iSlVGuWk7EeWXQdNGyG/HF77HRxxPnzw5/DUd+3+jcts+Gj1HPjAT9P9Vt5uX/48eN9/2rZTr4FQkc3EettpcO4vrbM31gW/+zB87PdQOr7HJQyIlm2w/p9W4Kz9m3VWjzkUkjGY+t70cUdeYO/jLI85qvpw2PB4OvHfvrLk8/blUj4Zjv43ePp/bThtWd8FuVRQKDnpisa57uG1NHZEOGx8KRcvnkJNaT63/2sz1/19DcaAT+BXT2/EGDhqUhnfPmeOCgll8MSj9il77UOQiNkJrXI6PHIVvPMIdDVDzVw4/APWsdu0EU7/XxsS+tyP4Jkb7MQOcPK3bN+Gd2D5L9JrEC55CHx+O3k/92NYdi0gdrIsrrbhpH/4mNVSwKbL2PGq1TTO/YX9vOEJO/Ev+bxd+OaGp9a/A1v/BYecadc6uO2P/ZcVEGCf6oNFNj9T8bhMQVE+Gb78auZ3Uj3HvidiQ/51pzjyfHj6e/Dab20qkD5QQaGwoa6dP62s5YHXdvCJJVMZW5LHbf/azMb6DsaV5vP42j387fWdjC3OY8WWJk6fW8ONH5tPezjOd/++lpVbmrjxY/OZuRflSJWDkGQSmjZBd5OdQO88C2pftk/6IjaX0Yd/Ayt+bY+fd5Hd/9jV9gUw430QCMHJV1uhsPovtv09n7CmFbAO3+U/s9vjjkzb7cccCk9cAws/bYUE2PfT/gfu/qD9fM5PINJmtYq7PgDvvxZe+CV07IEVt0DVbDjqY3aMh79qBQVfhVCJ1UCO+axdt3DUx2Dpd+344TZ7T/MvhrySvr+jaicnWqS97+P2haqZcOhZ8OJNsOQLfR4qZggTR40EFi5caFauXDnclzEquOXZjTzw2k7W7W7DJ8K0qkI21tvV1BPK8vnfjxzFSYeMZfmGBr5x/xuUFwb54LwJfOaEGfg1fYYyWDrqrTnl8Wugs862VUyz2VDff519uu9uhrs+CG21dv+XXk2HhL76W3jsm1YQXPGSFSpg+7x4s43wOdYz4cW64eVbwRfINLv0xa43bOjqvI/Zz5EO+Mtn4e1/2M/Hf82ef8UtdmFbQYU9/2HnWOFVvw62vQR73rTO6S+8AGN6Zkrul2gXfG88nPkDWHz54PsPlO0r4Lb3wwd/gSy45BVjzMJch40KQSEiZwA/BfzArcaYXj0wKigGzh9XbOOJNXs4dFwJlx0/nfLCECu3NFFTms+UykLNpaTsHcmkrca27UXrPC6psZP4smuhqxGq59qJO9xqTTPTT7QpKNyJv3kLvPRrKJ0A7/1S5tjG2JfvXYzD6Wy0Jppop/WF+J309m8/aoWI+OCLK6F4rG2PdtmFcjVHQM2cd+869wZj4MYjYPxRyEX3jF5BISJ+4B3g/UAt8DLwcWPMmlzHq6DIwhho320ThXU3Q1eTVXs79lh7a7jVPjXFOq1KHiyw/7zJhF2wUz4Fxh1h8943rofmrfaf3+e36nTVLGhYb80IHXV2JeiUY+2T4tbl9tyddVA6CWaebOO7w632/JEOOxlMP9Fe66an7D9dUbV15hWNtedt3gwtW2172UTrxByCLLRKDsJt1ukaC1vTTulEW1UtFraTPdgVwtVzoG2HffreuQrad9mVxF2N9mWcnEL+PEg4EUhlk+G8m2DyYjv2gYAx9n/FP4qt+P/4D3j1LuS/63oVFKPh7hYBG4wxmwBE5B7gXCCnoNhvxCPw8m2k4pFTAravzwM9tr9xcnw2CUhE084uY6xDL9Zln3yinXa7bRe078x9T8Xj7NNeqAQKx9j47q5GmHueje1urbVPd+sfs4uBimtsfPfMU+z5W2th/ePW0Vg+2U4q7butbTbSZtMIjDnECoKWrXYh0Au/6PNr7oH405OOS7DIqv/JuC0RmYjbyJX8UitE4t1WCPkCNtWBP2hfvqAVMCKA2LZAvv0eY93OPr8Vgu67z2/H8QVs/6BTuzsR9VyjK7Qk87P47fjhFnu892+Z/YDmXlPGuzOmew2dDXac1D2FbHvDO7awTajI8yq2E3mk3Z4rHoa8Uhs/H+2y1xQPW0cyxppQEjHrbDXJwf2NimugYro1EU1eZB8WqmalHxgibfYBpXRCZqjngYDI6BYSAIedDdtfBOp6PWQ0aBTnA2cYYz7jfP4EsNgY80XPMZcDlwNMmTJlwdatW4f+Qrpb4PtTh37cvULsk3cgz5n8nOZgoX25k0Ww0E4Mkxfbp/OCciiotJNHIA8mLrCTkJdEvOcPP9ZtBWVB+cAuL5m0Gkq2w66jDlq328m8uNrRUjZaR2AyYW28wUIrgBo3WE2ku9lOQpUzbLrl1h02FUH7LjtJ5hXbCTPaYTWV7hY7mYeKHWEadwRq1AoWk0xP0omonSz9IdvHGNsnmXDek84YMds3GbcCWMTJtSP0KtDB9ktE7ffgCpgMYSLpPu6DRY8HDGOvIxmzf7tggd12x45HreZXNMZ+B+5DQqTDOm9dZ20gz/7du5rsGIVjbJs7cXc3299UzVyYsgTyK+zfsG2XjSKqmGbHBTvOntX2Nzb1OHse1fBGPSIyqjWKXL/ADOlmjLkFuAWs6Wm/XEV+GfynI4B6e4LM9Xkwx6Y+Zz+Zvov/hLmejoIFnoluAPh8uaM6iqvTE5fLmFk9UyuUjofJxwz8fMq7z/ijhvsKlHeR0SAoagFPshMmAb3YUvYjIgN/olYURTmAGA0pPF4GZovIdBEJARcCDw3zNSmKohw0jHiNwhgTF5EvAo9hw2NvN8asHubLUhRFOWgY8YICwBjzD+Afw30diqIoByOjwfSkKIqiDCMqKBRFUZQ+UUGhKIqi9IkKCkVRFKVPRvzK7MEiIu3A287HMqA1x2H72j4GaNiP47vniO3H8b3t7v3sr/Fd9vZ725tzZ9/T3o7TV3swxzlG2nc3ku/L+zc6EP6XRvvvYZwxJnf+c2PMAfUCVnq2b+nlmH1qd8+xv8Z3z7E/x/e2e7+zkfi97eW5Vw7ROL225zrHSPvuRvJ9vRv/q+55DqTvbX/9Hnr7nzHGHPCmp79p+wHRvrd9hmIcbdf2g7kdODBNTytNL4mt9BzDe64D7Z4OtPt5t8+l5xlZ5+przANRo7hFzzFiz3Wg3dOBdj/v9rn0PCPrXL2OecBpFIqiKMrQciBqFIqiKMoQooJCURRF6RMVFL0gIgkRWeV5Tevj2KdFZFCOJRExIvJbz+eAiNSLyMP7cNn9nfNDznkP2w9jD8f9dOyvsffmfHvzO/D03W9/mxzn+qaIrBaRN5zf9uL9dJ5JIvKgiKwXkY0i8lOnVEBvx39FRAr34jxGRH7k+fx1Efmfvbzs3s7hzgerReR1EfmaiOz3+fPd/o33hgqK3uk2xsz3vLYM8fidwBEi4paOez+wYzADiMhgs/9+HPgXtqbHYM7j7/+ofb+fg5y9+tsMFhE5FjgHeI8x5ijgNGD7fjiPAH8B/mqMmQ0cAhQD1/fR7SvAoAUFEAE+LCJj9qLvQHHng7nY3/ZZwDX78XwjChUUg0BEFojIMyLyiog8JiLjPbv/TUSWi8hbIrJogEM+ApztbH8c+KPnXIuc8V5z3g912j8pIn8Skb8B/xzEtRcDxwGX4UxGIvI+EXlWRB4QkTUicrP7lCQiHSJyrYi8BBy7H+/nORGZ7znueREZcJ1N5x4e9nz+hYh80tneIiLfEZFXReTNoXha7+t8+zBmb3+b3u7rLBFZJyL/EpGfDVJrGw80GGMiAMaYBmPMzt5+246W9JO9+G2fAoSNMXc450kAXwU+LSJFIvJD52/yhoh8SUS+DEwAnhKRpwZxPwBxbMTOV7N3iMhUEVnmnGeZiEwRkTLnt+H+1gtFZLuIBAdyMmNMHXA58EWx+EXkByLysnOef/ec/z+c+3xdRG4Y5H25YxQ71+7+js912qeJyFoR+Y2j6fzT86A2pKig6J0CSZudHnB+RD8HzjfGLABuJ/PpqMgY817gC86+gXAPcKGI5ANHAS959q0DTjTGHA18G/ieZ9+xwKXGmFMGcT/nAY8aY94BmkTkPU77IuD/AUcCM4EPu/cDvGWMWWyM+dd+vJ9bgU8CiMghQJ4x5o1B3Fd/NBhj3gPcBHx9CMcdSs4j99+mB853+2vgTGPM8cDYQZ7rn8BkEXlHRH4lIiftp9/2XOAVb4Mxpg3YBnwGmA4c7Wg1vzfG/Axb4vhkY8zJg7wngF8CF4tIWVb7L4C73fMAPzPGtAKvAyc5x3wAeMwYExvoyYwxm7DzZzVWwLcaY44BjgE+K7Yi55nYv+1iY8w84P/24r4AwsCHnN/xycCPREScfbOBXzqaTgvwkb08R5+MisJFw0S3MWa++0FEjgCOAB53/kZ+YJfn+D8CGGOeFZFSESk3xrT0dQJjzBtifR8fp2dhpjLgLhGZDRhsHhmXx40xTYO8n48DP3G273E+/x1Y4fzoEZE/AscD9wMJ4M+DOcFe3s+fgP8WkW8AnwbuHMw5B8BfnPdXSAvBkUZvf5tcHAZsMsZsdj7/Eft0OyCMMR0isgA4ATvp3At8lyH+bQOC/Tvnaj8RuNkYE3fGHexvuQfGmDYRuRv4MtDt2XUs6b/7b0lP1vcCHwOewmpxv9qL07qT9VLgKBE53/lchp3ATwPuMMZ0Ode4t/cpwPdE5EQgCUwEapx9m40xq5ztV4Bpe3mOPlFBMXAEWG2M6c0Mk/1PMdAFKg8BPwTeB1R52q8DnjLGfMiZfJ/27Osc4NgAiEgV1hRwhIgY7ERgsJN5b9cddswFg2VQ92OM6RKRx4FzgY8Cg3UGx8nUjPOz9kec9wRD83vv73yDoo+/zUO9nEfYR5y/69PA0yLyJnAFQ//bXk3W062IlAKTgU0DHGOw/AR4Fbijj2Pc8z4E/K+IVAILgCcHcyIRmYH9TdVh/yZfMsY8lnXMGQzNfV6M1RwXGGNiIrKF9O8h4jkuAajpaZh5Gxgr1hmIiARFZK5n/8ec9uOxamhvWVCzuR241hjzZlZ7GWln8Cf3+qot52PV76nGmGnGmMnAZqz2sMhRk33OPQzUzNQbe3M/twI/A17ei6eurcAcEclzzA6nDrL/YBnq8/X2t6GX86wDZkg6Cu9jgzmZiBzqaHUu84G1DP1vexlQKCKXOH39wI+wGuM/gc+JE4zhTNYA7UDu7KUDwPnt3Ic1BbksJx0gcDHO79sY0wGsAH4KPDyYhyIRGQvcDPzC2BXLjwGfd30cInKIiBRh7/PT4kRyee5zsJQBdY6QOBmYupfj7DWqUQwQY0zUUS1/5vzjBrBPMKudQ5pFZDlQijWhDHTcWuyPNZv/w5pqvsYgn3Zy8HEg25H2Z+DzwAvOviOBZ4EH9uVEe3M/xphXRKSNvp8EM3AmmYgxZruI3Ae8AawHXtvrix+e8/X2t7kIO+llnMcY0y0iXwAeFZEG7GQ3GIqBn4tIOVY72oA1Xd3CEP62jTFGRD4E/EpE/hv7UPoP4L+wT76HAG+ISAz4DdaXcAvwiIjs2ks/BVhh9EXP5y8DtzumzXrgU55992JNn+8bwLgFIrIKazKNY81YP3b23Yo1+bzq+A7qgfOMMY+KDdRYKSJR0vc/INzfHNa38jcRWQmswj4svKtoCo+DGBF5H/B1Y8w5w3wdE7CmkMOMMckB9pkH/MYYM9AonH3i3T5fP9dS7PgaBOvEXW+MuXE/netp7G9k5f4YX+mdkfSbU9OTMqw4pomXgG8OQkh8Dutg/db+vLbhOt8A+KzzdLsaa5b49fBejjLUjLTfnGoUiqIoSp+oRqEoijLMiMhkEXlK7AK61SJypdNeKSKPi02D8riIVDjt7xe7OPJN5/0Uz1jXi11AOGTpP1SjUBRFGWbEroQfb4x5VURKsGsizsNGCDYZY24QkauACmPMf4rI0cAeZ1X9EdgFgxOdsZZgo/PWG2OKh+T6VFAoiqKMLETkQWwk2C+A9xljdjnC5GljzKFZxwrQAExwU7M47R1DJSjU9KQoijKCcNbIHI0N8qgxxuwCcN6rc3T5CPCaV0gMNbqOQlEUZYQgNkHkn4GvOGlJ+jt+LvB9bBqR/YZqFIqiKCMAZ2X3n7FJEt0cZXskncl3PDZliHv8JOwC2UuMMRv357WpoFAURRlmHD/DbcBaY8yPPbseAi51ti8FHnSOL8cmjrzaGPP8fr8+dWYriqIML04ereeAN7EZYsGm+3gJm8plCjZF+wXGmCYR+RZwNTa9i8tSY0ydiPwfNgXMBGzq9luNMf+zT9engkJRFEXpCzU9KYqiKH2igkJRFEXpExUUiqIoSp+ooFAURVH6RAWFoiiK0icqKBRliBGR/xGRr/ex/zwRmfNuXpOi7AsqKBTl3ec8QAWFMmrQdRSKMgSIyDeBS4Dt2JrJrwCt2HrUIWxt6k8A84GHnX2t2IRuYEuajgW6gM8aY971usiK0hsqKBRlHxGRBcCdwGJsos1XgZuBO4wxjc4x38XWD/i5iNwJPGyMud/Ztwz4nDFmvYgsBv7XGHNKzzMpyvCg2WMVZd85AXjAGNMFICIPOe1HOAKiHCgGHsvu6GQLfS/wJ0+m0Lz9fcGKMhhUUCjK0JBLNb8TOM8Y87qIfBJ4X45jfECLMWb+frsyRdlH1JmtKPvOs8CHRKTAKWP5Aae9BNjlpI++2HN8u7MPY0wbsFlELgCbRVRE5r17l64o/aM+CkUZAjzO7K1ALbAG6AT+w2l7EygxxnxSRI4DfgNEgPOx2UJvAsYDQeAeY8y17/pNKEovqKBQFEVR+kRNT4qiKEqfqKBQFEVR+kQFhaIoitInKigURVGUPlFBoSiKovSJCgpFURSlT1RQKIqiKH2igkJRFEXpk/8PGKWtMqdC/ToAAAAASUVORK5CYII=\n",
- "text/plain": [
- "<Figure size 432x288 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "tests_data[['new_tests', 'new_cases']].plot()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 112,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<AxesSubplot:xlabel='date'>"
- ]
- },
- "execution_count": 112,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 432x288 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "tests_data[['fraction_positive', 'fraction_positive_7']].dropna().plot()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 113,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# ax = data_by_day.dropna().loc['2020-06-15': , ['fraction_positive', 'fraction_positive_m7']].plot(figsize=(10, 8), title='Fraction of tests with positive results')\n",
- "# ax.legend(['Fraction positive per day', 'Fraction positive, 7 day moving average'])\n",
- "# ax.set_ylabel('Fraction positive')\n",
- "# plt.savefig('fraction_positive_tests.png')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 114,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "Text(0, 0.5, 'New cases')"
- ]
- },
- "execution_count": 114,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 720x576 with 2 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "pri_y_max = int((tests_data.dropna().loc['2020-06-15': , 'new_tests_7'].max() * 1.1) / 100 ) * 100\n",
- "ax = tests_data.dropna().loc['2020-06-15': , 'new_tests_7'].plot(figsize=(10, 8), \n",
- " style=['k-'], \n",
- " legend=False,\n",
- " ylim=(0, pri_y_max))\n",
- "ax.set_title('Tests done and new cases (7 day moving average)')\n",
- "ax.legend(['Tests, 7 day moving average'], loc='lower left')\n",
- "ax.set_ylabel('Tests')\n",
- "sec_y_max = int((tests_data.dropna().loc['2020-06-15':, 'new_cases_7'].max() * 1.1) / 100) * 100\n",
- "ax = tests_data.dropna().loc['2020-06-15':, 'new_cases_7'].plot(ax=ax, secondary_y=True, style='r--')\n",
- "ax.set_ylim((0, sec_y_max))\n",
- "ax.legend(['Cases (7 day moving average)'], loc='lower right')\n",
- "ax.set_ylabel('New cases')\n",
- "# plt.savefig('tests_and_cases.png')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 115,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 720x576 with 2 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "pri_y_max = int((tests_data.dropna().loc[chart_start_date: , 'new_tests_7'].max() * 1.1) / 100 ) * 100\n",
- "ax = tests_data.dropna().loc[chart_start_date: , 'new_tests_7'].plot(figsize=(10, 8), \n",
- " style=['k-'], \n",
- " legend=False,\n",
- " ylim=(0, pri_y_max))\n",
- "ax.set_title('Tests done and new cases (7 day moving average)')\n",
- "ax.legend(['Tests, 7 day moving average'], loc='lower left')\n",
- "ax.set_ylabel('Tests')\n",
- "sec_y_max = int((tests_data.dropna().loc[chart_start_date:, 'new_cases_7'].max() * 1.1) / 100) * 100\n",
- "ax = tests_data.dropna().loc[chart_start_date:, 'new_cases_7'].plot(ax=ax, secondary_y=True, style='r--')\n",
- "ax.set_ylim((0, sec_y_max))\n",
- "ax.legend(['Cases (7 day moving average)'], loc='lower right')\n",
- "ax.set_ylabel('New cases')\n",
- "plt.savefig('tests_and_cases.png')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 116,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 720x576 with 3 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "ax = (tests_data.loc[chart_start_date: , ['fraction_positive', 'fraction_positive_7']] * 100).plot(figsize=(10, 8), \n",
- " style=['b:', 'k-'], legend=False)\n",
- "ax.set_title('Fraction of tests with positive results')\n",
- "ax.legend(['Fraction positive (%)', 'Fraction positive (%), 7 day moving average'], loc='upper left')\n",
- "ax.set_ylabel('Fraction positive')\n",
- "cases_axis_max = (1.0 * tests_data.loc[chart_start_date:].new_cases_7.max() \n",
- " * tests_data.loc[chart_start_date:].fraction_positive.max() \n",
- " / tests_data.loc[chart_start_date:].fraction_positive_7.max()\n",
- " )\n",
- "\n",
- "ax2 = ax.twinx()\n",
- "ax2 = tests_data.loc[chart_start_date:, 'new_cases_7'].plot(ax=ax2, secondary_y=True, style='r--')\n",
- "ax2.set_ylim(-1000, cases_axis_max)\n",
- "ax2.legend(['Cases (7 day moving average)'], loc='center left')\n",
- "ax2.set_ylabel('New cases')\n",
- "plt.savefig('fraction_positive_tests.png')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 117,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 576x576 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "ax = tests_data.dropna().loc[chart_start_date:].plot(x='fraction_positive_7', y='new_tests_7', \n",
- " figsize=(8, 8),\n",
- " legend=None)\n",
- "ax.set_xlabel(\"Fraction of tests that are positive\")\n",
- "ax.set_ylabel(\"Number of tests\")\n",
- "for d in tests_data.dropna().loc[chart_start_date::15].index:\n",
- " ax.plot(tests_data.loc[d, 'fraction_positive_7'], tests_data.loc[d, 'new_tests_7'], 'o', \n",
- " markersize=8)#, markerfacecolor=marker_col, markeredgecolor=marker_col)\n",
- " ax.text(tests_data.loc[d, 'fraction_positive_7'] + 0.0002, tests_data.loc[d, 'new_tests_7'], \n",
- " s = d.strftime(\"%d %B %Y\"))\n",
- "plt.savefig('fraction_positive_tests_vs_tests.png')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 118,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 576x576 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "fig = plt.figure(figsize=(8, 8))\n",
- "plt.ylabel('Number of tests')\n",
- "plt.xlabel('Fraction of tests that are positive')\n",
- "all_data = tests_data.dropna().loc[chart_start_date:]\n",
- "\n",
- "\n",
- "minx = all_data.fraction_positive_7.min() * 0.9\n",
- "maxx = all_data.fraction_positive_7.max() * 1.1\n",
- "miny = all_data.new_tests_7.min() * 0.9\n",
- "maxy = all_data.new_tests_7.max() * 1.1\n",
- "\n",
- "plt.xlim(minx, maxx)\n",
- "plt.ylim(miny, maxy)\n",
- "# plt.legend(None)\n",
- "\n",
- "def build_state_frame(i):\n",
- " this_data = all_data[:i]\n",
- " plt.clf()\n",
- " plt.ylabel('Number of tests')\n",
- " plt.xlabel('Fraction of tests that are positive')\n",
- " plt.xlim(minx, maxx)\n",
- " plt.ylim(miny, maxy)\n",
- " p = plt.plot(this_data.fraction_positive_7, this_data.new_tests_7)\n",
- " p[0].set_color('r')\n",
- " for d in this_data[::15].index:\n",
- " plt.plot(this_data.loc[d, 'fraction_positive_7'], \n",
- " this_data.loc[d, 'new_tests_7'], 'o', \n",
- " markersize=8, markerfacecolor='r', markeredgecolor='r')\n",
- " plt.text(this_data.loc[d, 'fraction_positive_7'] + 0.0002, \n",
- " this_data.loc[d, 'new_tests_7'], \n",
- " s = d.strftime(\"%d %B %Y\"))\n",
- "\n",
- "animator = ani.FuncAnimation(fig, build_state_frame, \n",
- " frames=all_data.shape[0]+1,\n",
- " interval=100,\n",
- " repeat_delay=200,\n",
- " repeat=True)\n",
- "animator.save('tests_vs_fraction_positive.mp4')\n",
- "plt.show()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 119,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "ffmpeg version 4.2.4-1ubuntu0.1 Copyright (c) 2000-2020 the FFmpeg developers\n",
- " built with gcc 9 (Ubuntu 9.3.0-10ubuntu2)\n",
- " configuration: --prefix=/usr --extra-version=1ubuntu0.1 --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --arch=amd64 --enable-gpl --disable-stripping --enable-avresample --disable-filter=resample --enable-avisynth --enable-gnutls --enable-ladspa --enable-libaom --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libcodec2 --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libgme --enable-libgsm --enable-libjack --enable-libmp3lame --enable-libmysofa --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-libpulse --enable-librsvg --enable-librubberband --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libssh --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvorbis --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx265 --enable-libxml2 --enable-libxvid --enable-libzmq --enable-libzvbi --enable-lv2 --enable-omx --enable-openal --enable-opencl --enable-opengl --enable-sdl2 --enable-libdc1394 --enable-libdrm --enable-libiec61883 --enable-nvenc --enable-chromaprint --enable-frei0r --enable-libx264 --enable-shared\n",
- " WARNING: library configuration mismatch\n",
- " avcodec configuration: --prefix=/usr --extra-version=1ubuntu0.1 --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --arch=amd64 --enable-gpl --disable-stripping --enable-avresample --disable-filter=resample --enable-avisynth --enable-gnutls --enable-ladspa --enable-libaom --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libcodec2 --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libgme --enable-libgsm --enable-libjack --enable-libmp3lame --enable-libmysofa --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-libpulse --enable-librsvg --enable-librubberband --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libssh --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvorbis --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx265 --enable-libxml2 --enable-libxvid --enable-libzmq --enable-libzvbi --enable-lv2 --enable-omx --enable-openal --enable-opencl --enable-opengl --enable-sdl2 --enable-libdc1394 --enable-libdrm --enable-libiec61883 --enable-nvenc --enable-chromaprint --enable-frei0r --enable-libx264 --enable-shared --enable-version3 --disable-doc --disable-programs --enable-libaribb24 --enable-liblensfun --enable-libopencore_amrnb --enable-libopencore_amrwb --enable-libtesseract --enable-libvo_amrwbenc\n",
- " libavutil 56. 31.100 / 56. 31.100\n",
- " libavcodec 58. 54.100 / 58. 54.100\n",
- " libavformat 58. 29.100 / 58. 29.100\n",
- " libavdevice 58. 8.100 / 58. 8.100\n",
- " libavfilter 7. 57.100 / 7. 57.100\n",
- " libavresample 4. 0. 0 / 4. 0. 0\n",
- " libswscale 5. 5.100 / 5. 5.100\n",
- " libswresample 3. 5.100 / 3. 5.100\n",
- " libpostproc 55. 5.100 / 55. 5.100\n",
- "Input #0, mov,mp4,m4a,3gp,3g2,mj2, from 'tests_vs_fraction_positive.mp4':\n",
- " Metadata:\n",
- " major_brand : isom\n",
- " minor_version : 512\n",
- " compatible_brands: isomiso2avc1mp41\n",
- " encoder : Lavf58.29.100\n",
- " Duration: 00:00:13.20, start: 0.000000, bitrate: 20 kb/s\n",
- " Stream #0:0(und): Video: h264 (High) (avc1 / 0x31637661), yuv420p, 576x576, 19 kb/s, 10 fps, 10 tbr, 10240 tbn, 20 tbc (default)\n",
- " Metadata:\n",
- " handler_name : VideoHandler\n",
- "Stream mapping:\n",
- " Stream #0:0 -> #0:0 (h264 (native) -> apng (native))\n",
- "Press [q] to stop, [?] for help\n",
- "Output #0, apng, to 'tests_vs_fraction_positive_animation.png':\n",
- " Metadata:\n",
- " major_brand : isom\n",
- " minor_version : 512\n",
- " compatible_brands: isomiso2avc1mp41\n",
- " encoder : Lavf58.29.100\n",
- " Stream #0:0(und): Video: apng, rgb24, 576x576, q=2-31, 200 kb/s, 10 fps, 10 tbn, 10 tbc (default)\n",
- " Metadata:\n",
- " handler_name : VideoHandler\n",
- " encoder : Lavc58.54.100 apng\n",
- "frame= 132 fps= 54 q=-0.0 Lsize= 1982kB time=00:00:13.20 bitrate=1230.1kbits/s speed= 5.4x \n",
- "video:1982kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.004237%\n"
- ]
- }
- ],
- "source": [
- "!rm tests_vs_fraction_positive_animation.png\n",
- "!ffmpeg -i tests_vs_fraction_positive.mp4 -plays 0 -final_delay 1 -f apng tests_vs_fraction_positive_animation.png"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 120,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# fig = plt.figure(figsize=(8, 8))\n",
- "# plt.ylabel('Number of tests')\n",
- "# plt.xlabel('Fraction of tests that are positive')\n",
- "\n",
- "# all_data = data_by_day.dropna().loc[chart_start_date:]\n",
- "\n",
- "# minx = all_data.fraction_positive_m7.min() * 0.9\n",
- "# maxx = all_data.fraction_positive_m7.max() * 1.1\n",
- "# miny = all_data.tests_m7.min() * 0.9\n",
- "# maxy = all_data.tests_m7.max() * 1.1\n",
- "\n",
- "# plt.xlim(minx, maxx)\n",
- "# plt.ylim(miny, maxy)\n",
- "# # plt.legend(None)\n",
- "\n",
- "# def build_state_frame(i):\n",
- "# this_data = all_data[:i]\n",
- "# p = plt.plot(this_data.fraction_positive_m7, this_data.tests_m7)\n",
- "# p[0].set_color('r')\n",
- "# for d in this_data[::15].index:\n",
- "# plt.plot(this_data.loc[d, 'fraction_positive_m7'], \n",
- "# this_data.loc[d, 'tests_m7'], 'o', \n",
- "# markersize=8, markerfacecolor='r', markeredgecolor='r')\n",
- "# plt.text(this_data.loc[d, 'fraction_positive_m7'] + 0.0002, \n",
- "# this_data.loc[d, 'tests_m7'], \n",
- "# s = d.strftime(\"%d %B %Y\"))\n",
- "\n",
- "# # animator = ani.FuncAnimation(fig, build_state_frame, interval=200)\n",
- "# # animator.save('myfirstAnimation.mp4')\n",
- "# build_state_frame(103)\n",
- "# plt.show()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 121,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "131"
- ]
- },
- "execution_count": 121,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "all_data.shape[0]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 122,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "(0.0127848996, 0.15778081000000002)"
- ]
- },
- "execution_count": 122,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "minx, maxx"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": []
- }
- ],
- "metadata": {
- "kernelspec": {
- "display_name": "Python 3",
- "language": "python",
- "name": "python3"
- },
- "language_info": {
- "codemirror_mode": {
- "name": "ipython",
- "version": 3
- },
- "file_extension": ".py",
- "mimetype": "text/x-python",
- "name": "python",
- "nbconvert_exporter": "python",
- "pygments_lexer": "ipython3",
- "version": "3.8.5"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
+++ /dev/null
-{
- "cells": [
- {
- "cell_type": "code",
- "execution_count": 1,
- "metadata": {},
- "outputs": [],
- "source": [
- "import itertools\n",
- "import collections\n",
- "import json\n",
- "import pandas as pd\n",
- "import numpy as np\n",
- "from scipy.stats import gmean\n",
- "import datetime\n",
- "\n",
- "import matplotlib as mpl\n",
- "import matplotlib.pyplot as plt\n",
- "%matplotlib inline"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 29,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
- " .dataframe tbody tr th:only-of-type {\n",
- " vertical-align: middle;\n",
- " }\n",
- "\n",
- " .dataframe tbody tr th {\n",
- " vertical-align: top;\n",
- " }\n",
- "\n",
- " .dataframe thead th {\n",
- " text-align: right;\n",
- " }\n",
- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>cases</th>\n",
- " <th>average</th>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>date</th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <td>2020-03-21</td>\n",
- " <td>1035</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-03-22</td>\n",
- " <td>665</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-03-23</td>\n",
- " <td>967</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-03-24</td>\n",
- " <td>1427</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-03-25</td>\n",
- " <td>1452</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-05-27</td>\n",
- " <td>2013</td>\n",
- " <td>2416.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-05-28</td>\n",
- " <td>1887</td>\n",
- " <td>2312.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-05-29</td>\n",
- " <td>2095</td>\n",
- " <td>2142.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-05-30</td>\n",
- " <td>2445</td>\n",
- " <td>2068.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-05-31</td>\n",
- " <td>1936</td>\n",
- " <td>2001.0</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "<p>72 rows × 2 columns</p>\n",
- "</div>"
- ],
- "text/plain": [
- " cases average\n",
- "date \n",
- "2020-03-21 1035 NaN\n",
- "2020-03-22 665 NaN\n",
- "2020-03-23 967 NaN\n",
- "2020-03-24 1427 NaN\n",
- "2020-03-25 1452 NaN\n",
- "... ... ...\n",
- "2020-05-27 2013 2416.0\n",
- "2020-05-28 1887 2312.0\n",
- "2020-05-29 2095 2142.0\n",
- "2020-05-30 2445 2068.0\n",
- "2020-05-31 1936 2001.0\n",
- "\n",
- "[72 rows x 2 columns]"
- ]
- },
- "execution_count": 29,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "cases = pd.read_excel( '2020-05-31_COVID-19_Press_Conference_Data.xlsx'\n",
- " , sheet_name='New Cases (UK)'\n",
- " , skiprows=[0,1,2]\n",
- " , skipfooter=11\n",
- " , header=1\n",
- " )\n",
- "cases.columns=['date', 'cases', 'average']\n",
- "cases.set_index('date', inplace=True)\n",
- "cases"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 24,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<matplotlib.axes._subplots.AxesSubplot at 0x7fe3a46b4ad0>"
- ]
- },
- "execution_count": 24,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
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\n",
- "text/plain": [
- "<Figure size 432x288 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "cases.cases.plot()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 30,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
- " .dataframe tbody tr th:only-of-type {\n",
- " vertical-align: middle;\n",
- " }\n",
- "\n",
- " .dataframe tbody tr th {\n",
- " vertical-align: top;\n",
- " }\n",
- "\n",
- " .dataframe thead th {\n",
- " text-align: right;\n",
- " }\n",
- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>tests</th>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>date</th>\n",
- " <th></th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <td>2020-04-01</td>\n",
- " <td>11896</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-04-02</td>\n",
- " <td>11947</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-04-03</td>\n",
- " <td>13623</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-04-04</td>\n",
- " <td>14629</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-04-05</td>\n",
- " <td>16080</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-05-27</td>\n",
- " <td>117013</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-05-28</td>\n",
- " <td>119587</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-05-29</td>\n",
- " <td>131458</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-05-30</td>\n",
- " <td>127722</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-05-31</td>\n",
- " <td>115725</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "<p>61 rows × 1 columns</p>\n",
- "</div>"
- ],
- "text/plain": [
- " tests\n",
- "date \n",
- "2020-04-01 11896\n",
- "2020-04-02 11947\n",
- "2020-04-03 13623\n",
- "2020-04-04 14629\n",
- "2020-04-05 16080\n",
- "... ...\n",
- "2020-05-27 117013\n",
- "2020-05-28 119587\n",
- "2020-05-29 131458\n",
- "2020-05-30 127722\n",
- "2020-05-31 115725\n",
- "\n",
- "[61 rows x 1 columns]"
- ]
- },
- "execution_count": 30,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "tests = pd.read_excel( '2020-05-31_COVID-19_Press_Conference_Data.xlsx'\n",
- " , sheet_name='Daily Tests (UK)'\n",
- " , skiprows=[0,1,2]\n",
- " , skipfooter=8\n",
- " , header=1\n",
- " )\n",
- "tests.columns=['date', 'tests']\n",
- "tests.set_index('date', inplace=True)\n",
- "tests"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 31,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<matplotlib.axes._subplots.AxesSubplot at 0x7fe3a4096d10>"
- ]
- },
- "execution_count": 31,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 432x288 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "tests.plot()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 38,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
- " .dataframe tbody tr th:only-of-type {\n",
- " vertical-align: middle;\n",
- " }\n",
- "\n",
- " .dataframe tbody tr th {\n",
- " vertical-align: top;\n",
- " }\n",
- "\n",
- " .dataframe thead th {\n",
- " text-align: right;\n",
- " }\n",
- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>region</th>\n",
- " <th>admissions</th>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>date</th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <td>2020-03-20</td>\n",
- " <td>England</td>\n",
- " <td>608</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-03-21</td>\n",
- " <td>England</td>\n",
- " <td>720</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-03-22</td>\n",
- " <td>England</td>\n",
- " <td>806</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-03-23</td>\n",
- " <td>England</td>\n",
- " <td>893</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-03-24</td>\n",
- " <td>England</td>\n",
- " <td>1137</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-05-25</td>\n",
- " <td>England</td>\n",
- " <td>472</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-05-26</td>\n",
- " <td>England</td>\n",
- " <td>475</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-05-27</td>\n",
- " <td>England</td>\n",
- " <td>552</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-05-28</td>\n",
- " <td>England</td>\n",
- " <td>562</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-05-29</td>\n",
- " <td>England</td>\n",
- " <td>545</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "<p>71 rows × 2 columns</p>\n",
- "</div>"
- ],
- "text/plain": [
- " region admissions\n",
- "date \n",
- "2020-03-20 England 608\n",
- "2020-03-21 England 720\n",
- "2020-03-22 England 806\n",
- "2020-03-23 England 893\n",
- "2020-03-24 England 1137\n",
- "... ... ...\n",
- "2020-05-25 England 472\n",
- "2020-05-26 England 475\n",
- "2020-05-27 England 552\n",
- "2020-05-28 England 562\n",
- "2020-05-29 England 545\n",
- "\n",
- "[71 rows x 2 columns]"
- ]
- },
- "execution_count": 38,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "admissions = pd.read_excel( '2020-05-31_COVID-19_Press_Conference_Data.xlsx'\n",
- " , sheet_name='Hospital Admissions (England)'\n",
- " , skiprows=[0,1]\n",
- " , skipfooter=3\n",
- " , header=1\n",
- " )\n",
- "admissions.columns=['date', 'region', 'admissions']\n",
- "admissions.set_index('date', inplace=True)\n",
- "admissions"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 39,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<matplotlib.axes._subplots.AxesSubplot at 0x7fe3a3ca7b90>"
- ]
- },
- "execution_count": 39,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 432x288 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "admissions.plot()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 33,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<matplotlib.axes._subplots.AxesSubplot at 0x7fe3a3e25b50>"
- ]
- },
- "execution_count": 33,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 432x288 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "cases.merge(tests, how='outer', left_index=True, right_index=True).plot()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 34,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
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- " .dataframe tbody tr th {\n",
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- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>cases</th>\n",
- " <th>average</th>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>date</th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <td>2020-03-21</td>\n",
- " <td>1035</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-03-22</td>\n",
- " <td>665</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-03-23</td>\n",
- " <td>967</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-03-24</td>\n",
- " <td>1427</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-03-25</td>\n",
- " <td>1452</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
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- " <td>...</td>\n",
- " <td>...</td>\n",
- " <td>...</td>\n",
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- " <tr>\n",
- " <td>2020-05-27</td>\n",
- " <td>2013</td>\n",
- " <td>2416.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-05-28</td>\n",
- " <td>1887</td>\n",
- " <td>2312.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-05-29</td>\n",
- " <td>2095</td>\n",
- " <td>2142.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-05-30</td>\n",
- " <td>2445</td>\n",
- " <td>2068.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2020-05-31</td>\n",
- " <td>1936</td>\n",
- " <td>2001.0</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "<p>72 rows × 2 columns</p>\n",
- "</div>"
- ],
- "text/plain": [
- " cases average\n",
- "date \n",
- "2020-03-21 1035 NaN\n",
- "2020-03-22 665 NaN\n",
- "2020-03-23 967 NaN\n",
- "2020-03-24 1427 NaN\n",
- "2020-03-25 1452 NaN\n",
- "... ... ...\n",
- "2020-05-27 2013 2416.0\n",
- "2020-05-28 1887 2312.0\n",
- "2020-05-29 2095 2142.0\n",
- "2020-05-30 2445 2068.0\n",
- "2020-05-31 1936 2001.0\n",
- "\n",
- "[72 rows x 2 columns]"
- ]
- },
- "execution_count": 34,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
- }
- ],
- "metadata": {
- "kernelspec": {
- "display_name": "Python 3",
- "language": "python",
- "name": "python3"
- },
- "language_info": {
- "codemirror_mode": {
- "name": "ipython",
- "version": 3
- },
- "file_extension": ".py",
- "mimetype": "text/x-python",
- "name": "python",
- "nbconvert_exporter": "python",
- "pygments_lexer": "ipython3",
- "version": "3.7.4"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
+++ /dev/null
-{
- "cells": [
- {
- "cell_type": "code",
- "execution_count": 56,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "The sql extension is already loaded. To reload it, use:\n",
- " %reload_ext sql\n"
- ]
- }
- ],
- "source": [
- "import itertools\n",
- "import collections\n",
- "import json\n",
- "import pandas as pd\n",
- "import numpy as np\n",
- "from scipy.stats import gmean\n",
- "import datetime\n",
- "\n",
- "import sqlalchemy\n",
- "\n",
- "import matplotlib as mpl\n",
- "import matplotlib.pyplot as plt\n",
- "%matplotlib inline\n",
- "%load_ext sql"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 57,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "connection_string = 'postgresql://covid:3NbjJTkT63@localhost/covid'"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 58,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "'Connected: covid@covid'"
- ]
- },
- "execution_count": 58,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "%sql $connection_string"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 59,
- "metadata": {},
- "outputs": [],
- "source": [
- "conn = sqlalchemy.create_engine(connection_string)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 69,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "390 rows affected.\n",
- "Returning data to local variable res\n"
- ]
- }
- ],
- "source": [
- "%%sql res << select uk_data.date\n",
- " , uk_data.new_cases, uk_data_7.new_cases as new_cases_7\n",
- " , uk_data.new_deaths, uk_data_7.new_deaths as new_deaths_7\n",
- " from uk_data left outer join uk_data_7 using (date)\n",
- " order by uk_data.date"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 70,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
- " .dataframe tbody tr th:only-of-type {\n",
- " vertical-align: middle;\n",
- " }\n",
- "\n",
- " .dataframe tbody tr th {\n",
- " vertical-align: top;\n",
- " }\n",
- "\n",
- " .dataframe thead th {\n",
- " text-align: right;\n",
- " }\n",
- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>new_cases</th>\n",
- " <th>new_cases_7</th>\n",
- " <th>new_deaths</th>\n",
- " <th>new_deaths_7</th>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>date</th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>2021-01-17</th>\n",
- " <td>28875.0</td>\n",
- " <td>37337.855</td>\n",
- " <td>671</td>\n",
- " <td>1217.5714</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2021-01-18</th>\n",
- " <td>44732.0</td>\n",
- " <td>35766.570</td>\n",
- " <td>599</td>\n",
- " <td>1223.5714</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2021-01-19</th>\n",
- " <td>39311.0</td>\n",
- " <td>34143.285</td>\n",
- " <td>1610</td>\n",
- " <td>1240.8572</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2021-01-20</th>\n",
- " <td>35015.0</td>\n",
- " <td>32707.428</td>\n",
- " <td>1820</td>\n",
- " <td>1248.4286</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2021-01-21</th>\n",
- " <td>31430.0</td>\n",
- " <td>30620.428</td>\n",
- " <td>1290</td>\n",
- " <td>1239.7142</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2021-01-22</th>\n",
- " <td>29094.0</td>\n",
- " <td>24870.428</td>\n",
- " <td>1401</td>\n",
- " <td>1238.7142</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2021-01-23</th>\n",
- " <td>20495.0</td>\n",
- " <td>22463.666</td>\n",
- " <td>1348</td>\n",
- " <td>1241.7142</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2021-01-24</th>\n",
- " <td>14266.0</td>\n",
- " <td>NaN</td>\n",
- " <td>610</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2021-01-25</th>\n",
- " <td>4482.0</td>\n",
- " <td>NaN</td>\n",
- " <td>592</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2021-01-26</th>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>1631</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " new_cases new_cases_7 new_deaths new_deaths_7\n",
- "date \n",
- "2021-01-17 28875.0 37337.855 671 1217.5714\n",
- "2021-01-18 44732.0 35766.570 599 1223.5714\n",
- "2021-01-19 39311.0 34143.285 1610 1240.8572\n",
- "2021-01-20 35015.0 32707.428 1820 1248.4286\n",
- "2021-01-21 31430.0 30620.428 1290 1239.7142\n",
- "2021-01-22 29094.0 24870.428 1401 1238.7142\n",
- "2021-01-23 20495.0 22463.666 1348 1241.7142\n",
- "2021-01-24 14266.0 NaN 610 NaN\n",
- "2021-01-25 4482.0 NaN 592 NaN\n",
- "2021-01-26 NaN NaN 1631 NaN"
- ]
- },
- "execution_count": 70,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "uk_data = res.DataFrame()\n",
- "uk_data['date'] = uk_data.date.astype('datetime64[ns]')\n",
- "uk_data.set_index('date', inplace=True)\n",
- "uk_data.tail(10)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 71,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "new_cases float64\n",
- "new_cases_7 float64\n",
- "new_deaths int64\n",
- "new_deaths_7 float64\n",
- "dtype: object"
- ]
- },
- "execution_count": 71,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "uk_data.dtypes"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 72,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 720x576 with 3 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "ax = uk_data.loc['2020-03-10':, ['new_cases', 'new_cases_7']].plot(\n",
- " style={'new_cases': \"#e4e4e4\", \n",
- " 'new_cases_7': 'k'},\n",
- " figsize=(10, 8),\n",
- " legend=False,\n",
- " title=\"New cases and new deaths\")\n",
- "\n",
- "# ax.set_title('Fraction of tests with positive results')\n",
- "ax.legend(['New cases', 'New cases, 7 day moving average'], loc='upper left')\n",
- "ax.set_ylabel('New cases')\n",
- "\n",
- "ax2 = ax.twinx()\n",
- "ax2 = uk_data.loc['2020-03-10':, ['new_deaths','new_deaths_7']].plot(\n",
- " ax=ax2,\n",
- " secondary_y=['new_deaths', 'new_deaths_7'],\n",
- " style={'new_deaths': \"#ffe4e4\",\n",
- " 'new_deaths_7': 'r'},\n",
- " legend=False)\n",
- "ax2.legend(['New deaths', 'New deaths, 7 day moving average'], loc='best')\n",
- "ax2.set_ylabel('New cases')\n",
- "plt.savefig('cases_and_deaths.png')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 73,
- "metadata": {},
- "outputs": [],
- "source": [
- "# fig = plt.figure(figsize=(10, 8))\n",
- "# axl = uk_data.loc['2020-03-10':, ['new_cases', 'new_deaths', 'new_cases_7', 'new_deaths_7']].plot(\n",
- "# secondary_y=['new_deaths', 'new_deaths_7'],\n",
- "# style={'new_cases': \"#e4e4e4\", \n",
- "# 'new_deaths': \"#ffe4e4\",\n",
- "# 'new_cases_7': 'k',\n",
- "# 'new_deaths_7': 'r'},\n",
- "# figsize=(10, 8),\n",
- "# title=\"New cases and new deaths\")\n",
- "# # axl.legend(['Number in hospital', 'Number on ventilator'])\n",
- "# plt.savefig('cases_and_deaths.png')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 74,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 720x576 with 3 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "ax = uk_data.iloc[-60:][['new_cases', 'new_cases_7']].plot(\n",
- " style={'new_cases': \"#e4e4e4\", \n",
- " 'new_cases_7': 'k'},\n",
- " figsize=(10, 8),\n",
- " legend=False,\n",
- " title=\"New cases and new deaths\")\n",
- "\n",
- "# ax.set_title('Fraction of tests with positive results')\n",
- "ax.legend(['New cases', 'New cases, 7 day moving average'], loc='upper left')\n",
- "ax.set_ylabel('New cases')\n",
- "\n",
- "\n",
- "ax2 = ax.twinx()\n",
- "ax2 = uk_data.iloc[-60:][['new_deaths','new_deaths_7']].plot(\n",
- " ax=ax2,\n",
- " secondary_y=['new_deaths', 'new_deaths_7'],\n",
- " style={'new_deaths': \"#ffe4e4\",\n",
- " 'new_deaths_7': 'r'},\n",
- " legend=False)\n",
- "ax2.legend(['New deaths', 'New deaths, 7 day moving average'], loc='best')\n",
- "ax2.set_ylabel('New cases')\n",
- "plt.savefig('cases_and_deaths_last_60_days.png')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 66,
- "metadata": {},
- "outputs": [],
- "source": [
- "# fig = plt.figure(figsize=(10, 8))\n",
- "# axl = uk_data.iloc[-60:][['new_cases', 'new_deaths', 'new_cases_7', 'new_deaths_7']].plot(\n",
- "# secondary_y=['new_deaths', 'new_deaths_7'],\n",
- "# style={'new_cases': \"#e4e4e4\", \n",
- "# 'new_deaths': \"#ffe4e4\",\n",
- "# 'new_cases_7': 'k',\n",
- "# 'new_deaths_7': 'r'},\n",
- "# figsize=(10, 8),\n",
- "# title=\"New cases and new deaths, last 60 days\")\n",
- "# # axl.legend(['Number in hospital', 'Number on ventilator'])\n",
- "# plt.savefig('cases_and_deaths_last_60_days.png')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": []
- }
- ],
- "metadata": {
- "kernelspec": {
- "display_name": "Python 3",
- "language": "python",
- "name": "python3"
- },
- "language_info": {
- "codemirror_mode": {
- "name": "ipython",
- "version": 3
- },
- "file_extension": ".py",
- "mimetype": "text/x-python",
- "name": "python",
- "nbconvert_exporter": "python",
- "pygments_lexer": "ipython3",
- "version": "3.8.5"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
+++ /dev/null
-{
- "cells": [
- {
- "cell_type": "markdown",
- "metadata": {
- "Collapsed": "false"
- },
- "source": [
- "Data from:\n",
- "\n",
- "* [Office of National Statistics](https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/datasets/weeklyprovisionalfiguresondeathsregisteredinenglandandwales) (Endland and Wales) Weeks start on a Saturday.\n",
- "* [Northern Ireland Statistics and Research Agency](https://www.nisra.gov.uk/publications/weekly-deaths) (Northern Ireland). Weeks start on a Saturday. Note that the week numbers don't match the England and Wales data.\n",
- "* [National Records of Scotland](https://www.nrscotland.gov.uk/statistics-and-data/statistics/statistics-by-theme/vital-events/general-publications/weekly-and-monthly-data-on-births-and-deaths/weekly-data-on-births-and-deaths) (Scotland). Note that Scotland uses ISO8601 week numbers, which start on a Monday.\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 1,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "import itertools\n",
- "import collections\n",
- "import json\n",
- "import pandas as pd\n",
- "import numpy as np\n",
- "from scipy.stats import gmean\n",
- "\n",
- "import matplotlib as mpl\n",
- "import matplotlib.pyplot as plt\n",
- "%matplotlib inline"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 2,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "england_wales_filename = 'uk-deaths-data/publishedweek532020.xlsx'"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 3,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "raw_data_2015 = pd.read_csv('uk-deaths-data/Weekly_Deaths_NI_2015.csv', \n",
- " parse_dates=[1, 2], dayfirst=True,\n",
- " index_col=0,\n",
- " header=[0, 1]\n",
- " )\n",
- "dh15i = raw_data_2015.iloc[:, [2]]\n",
- "dh15i.columns = ['total_2015']\n",
- "# dh15i.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 4,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "raw_data_2016 = pd.read_csv('uk-deaths-data/Weekly_Deaths_NI_2016.csv', \n",
- " parse_dates=[1, 2], dayfirst=True,\n",
- " index_col=0,\n",
- " header=[0, 1]\n",
- " )\n",
- "dh16i = raw_data_2016.iloc[:, [2]]\n",
- "dh16i.columns = ['total_2016']\n",
- "# dh16i.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 5,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "raw_data_2017 = pd.read_csv('uk-deaths-data/Weekly_Deaths_NI_2017.csv', \n",
- " parse_dates=[1, 2], dayfirst=True,\n",
- " index_col=0,\n",
- " header=[0, 1]\n",
- " )\n",
- "dh17i = raw_data_2017.iloc[:, [2]]\n",
- "dh17i.columns = ['total_2017']\n",
- "# dh17i.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 6,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "raw_data_2018 = pd.read_csv('uk-deaths-data/Weekly_Deaths_NI_2018.csv', \n",
- " parse_dates=[1, 2], dayfirst=True,\n",
- " index_col=0,\n",
- " header=[0, 1]\n",
- " )\n",
- "dh18i = raw_data_2018.iloc[:, [2]]\n",
- "dh18i.columns = ['total_2018']\n",
- "# dh18i.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 7,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "raw_data_2019 = pd.read_csv('uk-deaths-data/Weekly_Deaths_NI_2019.csv', \n",
- " parse_dates=[1, 2], dayfirst=True,\n",
- " index_col=0,\n",
- " header=[0, 1]\n",
- " )\n",
- "dh19i = raw_data_2019.iloc[:, [2]]\n",
- "dh19i.columns = ['total_2019']\n",
- "# dh19i.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 8,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
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- "source": [
- "raw_data_2020_i = pd.read_csv('uk-deaths-data/Weekly_Deaths_NI_2020.csv', \n",
- " parse_dates=[1], dayfirst=True,\n",
- " index_col=0,\n",
- " header=[0, 1]\n",
- " )\n",
- "deaths_headlines_i = raw_data_2020_i.iloc[:, [1]]\n",
- "deaths_headlines_i.columns = ['total_2020']\n",
- "deaths_headlines_i.tail()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 9,
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- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr>\n",
- " <th>Registration Week</th>\n",
- " <th>Week Starts (Saturday)</th>\n",
- " <th>Week Ends (Friday)</th>\n",
- " <th>Total Number of Deaths Registered in Week (2019P)</th>\n",
- " <th>Average number of deaths registered in corresponding week in previous 5 years (2014 to 2018P)</th>\n",
- " <th>Range</th>\n",
- " <th>Unnamed: 6_level_0</th>\n",
- " </tr>\n",
- " <tr>\n",
- " <th></th>\n",
- " <th>Unnamed: 1_level_1</th>\n",
- " <th>Unnamed: 2_level_1</th>\n",
- " <th>Unnamed: 3_level_1</th>\n",
- " <th>Unnamed: 4_level_1</th>\n",
- " <th>Minimum in Previous 5 years</th>\n",
- " <th>Maximum in Previous 5 years</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>2018-12-29</td>\n",
- " <td>2019-01-04</td>\n",
- " <td>365</td>\n",
- " <td>212</td>\n",
- " <td>178</td>\n",
- " <td>249</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>2019-01-05</td>\n",
- " <td>2019-01-11</td>\n",
- " <td>371</td>\n",
- " <td>387</td>\n",
- " <td>294</td>\n",
- " <td>481</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>2019-01-12</td>\n",
- " <td>2019-01-18</td>\n",
- " <td>332</td>\n",
- " <td>401</td>\n",
- " <td>348</td>\n",
- " <td>470</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>2019-01-19</td>\n",
- " <td>2019-01-25</td>\n",
- " <td>335</td>\n",
- " <td>382</td>\n",
- " <td>331</td>\n",
- " <td>426</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>5</th>\n",
- " <td>2019-01-26</td>\n",
- " <td>2019-02-01</td>\n",
- " <td>296</td>\n",
- " <td>385</td>\n",
- " <td>353</td>\n",
- " <td>433</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>6</th>\n",
- " <td>2019-02-02</td>\n",
- " <td>2019-02-08</td>\n",
- " <td>319</td>\n",
- " <td>349</td>\n",
- " <td>314</td>\n",
- " <td>374</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>7</th>\n",
- " <td>2019-02-09</td>\n",
- " <td>2019-02-15</td>\n",
- " <td>342</td>\n",
- " <td>327</td>\n",
- " <td>280</td>\n",
- " <td>364</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>8</th>\n",
- " <td>2019-02-16</td>\n",
- " <td>2019-02-22</td>\n",
- " <td>337</td>\n",
- " <td>309</td>\n",
- " <td>217</td>\n",
- " <td>366</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>9</th>\n",
- " <td>2019-02-23</td>\n",
- " <td>2019-03-01</td>\n",
- " <td>310</td>\n",
- " <td>347</td>\n",
- " <td>314</td>\n",
- " <td>423</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>10</th>\n",
- " <td>2019-03-02</td>\n",
- " <td>2019-03-08</td>\n",
- " <td>342</td>\n",
- " <td>345</td>\n",
- " <td>285</td>\n",
- " <td>401</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>11</th>\n",
- " <td>2019-03-09</td>\n",
- " <td>2019-03-15</td>\n",
- " <td>343</td>\n",
- " <td>338</td>\n",
- " <td>309</td>\n",
- " <td>359</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>12</th>\n",
- " <td>2019-03-16</td>\n",
- " <td>2019-03-22</td>\n",
- " <td>294</td>\n",
- " <td>304</td>\n",
- " <td>251</td>\n",
- " <td>327</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>13</th>\n",
- " <td>2019-03-23</td>\n",
- " <td>2019-03-29</td>\n",
- " <td>307</td>\n",
- " <td>310</td>\n",
- " <td>261</td>\n",
- " <td>356</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>14</th>\n",
- " <td>2019-03-30</td>\n",
- " <td>2019-04-05</td>\n",
- " <td>287</td>\n",
- " <td>301</td>\n",
- " <td>280</td>\n",
- " <td>323</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>15</th>\n",
- " <td>2019-04-06</td>\n",
- " <td>2019-04-12</td>\n",
- " <td>301</td>\n",
- " <td>292</td>\n",
- " <td>221</td>\n",
- " <td>350</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>16</th>\n",
- " <td>2019-04-13</td>\n",
- " <td>2019-04-19</td>\n",
- " <td>316</td>\n",
- " <td>290</td>\n",
- " <td>270</td>\n",
- " <td>316</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>17</th>\n",
- " <td>2019-04-20</td>\n",
- " <td>2019-04-26</td>\n",
- " <td>272</td>\n",
- " <td>279</td>\n",
- " <td>245</td>\n",
- " <td>327</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>18</th>\n",
- " <td>2019-04-27</td>\n",
- " <td>2019-05-03</td>\n",
- " <td>357</td>\n",
- " <td>298</td>\n",
- " <td>251</td>\n",
- " <td>327</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>19</th>\n",
- " <td>2019-05-04</td>\n",
- " <td>2019-05-10</td>\n",
- " <td>288</td>\n",
- " <td>279</td>\n",
- " <td>230</td>\n",
- " <td>335</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>20</th>\n",
- " <td>2019-05-11</td>\n",
- " <td>2019-05-17</td>\n",
- " <td>330</td>\n",
- " <td>279</td>\n",
- " <td>249</td>\n",
- " <td>318</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>21</th>\n",
- " <td>2019-05-18</td>\n",
- " <td>2019-05-24</td>\n",
- " <td>308</td>\n",
- " <td>278</td>\n",
- " <td>250</td>\n",
- " <td>315</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>22</th>\n",
- " <td>2019-05-25</td>\n",
- " <td>2019-05-31</td>\n",
- " <td>245</td>\n",
- " <td>278</td>\n",
- " <td>241</td>\n",
- " <td>328</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>23</th>\n",
- " <td>2019-06-01</td>\n",
- " <td>2019-06-07</td>\n",
- " <td>279</td>\n",
- " <td>263</td>\n",
- " <td>241</td>\n",
- " <td>284</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>24</th>\n",
- " <td>2019-06-08</td>\n",
- " <td>2019-06-14</td>\n",
- " <td>281</td>\n",
- " <td>286</td>\n",
- " <td>246</td>\n",
- " <td>340</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>25</th>\n",
- " <td>2019-06-15</td>\n",
- " <td>2019-06-21</td>\n",
- " <td>296</td>\n",
- " <td>284</td>\n",
- " <td>265</td>\n",
- " <td>300</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>26</th>\n",
- " <td>2019-06-22</td>\n",
- " <td>2019-06-28</td>\n",
- " <td>262</td>\n",
- " <td>259</td>\n",
- " <td>211</td>\n",
- " <td>292</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>27</th>\n",
- " <td>2019-06-29</td>\n",
- " <td>2019-07-05</td>\n",
- " <td>285</td>\n",
- " <td>278</td>\n",
- " <td>235</td>\n",
- " <td>303</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>28</th>\n",
- " <td>2019-07-06</td>\n",
- " <td>2019-07-12</td>\n",
- " <td>256</td>\n",
- " <td>254</td>\n",
- " <td>172</td>\n",
- " <td>300</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>29</th>\n",
- " <td>2019-07-13</td>\n",
- " <td>2019-07-19</td>\n",
- " <td>280</td>\n",
- " <td>256</td>\n",
- " <td>237</td>\n",
- " <td>298</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>30</th>\n",
- " <td>2019-07-20</td>\n",
- " <td>2019-07-26</td>\n",
- " <td>269</td>\n",
- " <td>255</td>\n",
- " <td>203</td>\n",
- " <td>288</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>31</th>\n",
- " <td>2019-07-27</td>\n",
- " <td>2019-08-02</td>\n",
- " <td>273</td>\n",
- " <td>280</td>\n",
- " <td>261</td>\n",
- " <td>298</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>32</th>\n",
- " <td>2019-08-03</td>\n",
- " <td>2019-08-09</td>\n",
- " <td>266</td>\n",
- " <td>281</td>\n",
- " <td>264</td>\n",
- " <td>292</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>33</th>\n",
- " <td>2019-08-10</td>\n",
- " <td>2019-08-16</td>\n",
- " <td>284</td>\n",
- " <td>260</td>\n",
- " <td>238</td>\n",
- " <td>283</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>34</th>\n",
- " <td>2019-08-17</td>\n",
- " <td>2019-08-23</td>\n",
- " <td>274</td>\n",
- " <td>260</td>\n",
- " <td>235</td>\n",
- " <td>280</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>35</th>\n",
- " <td>2019-08-24</td>\n",
- " <td>2019-08-30</td>\n",
- " <td>223</td>\n",
- " <td>271</td>\n",
- " <td>251</td>\n",
- " <td>301</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>36</th>\n",
- " <td>2019-08-31</td>\n",
- " <td>2019-09-06</td>\n",
- " <td>243</td>\n",
- " <td>258</td>\n",
- " <td>243</td>\n",
- " <td>265</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>37</th>\n",
- " <td>2019-09-07</td>\n",
- " <td>2019-09-13</td>\n",
- " <td>305</td>\n",
- " <td>275</td>\n",
- " <td>237</td>\n",
- " <td>301</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>38</th>\n",
- " <td>2019-09-14</td>\n",
- " <td>2019-09-20</td>\n",
- " <td>281</td>\n",
- " <td>285</td>\n",
- " <td>247</td>\n",
- " <td>324</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>39</th>\n",
- " <td>2019-09-21</td>\n",
- " <td>2019-09-27</td>\n",
- " <td>295</td>\n",
- " <td>281</td>\n",
- " <td>259</td>\n",
- " <td>298</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>40</th>\n",
- " <td>2019-09-28</td>\n",
- " <td>2019-10-04</td>\n",
- " <td>263</td>\n",
- " <td>292</td>\n",
- " <td>275</td>\n",
- " <td>324</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>41</th>\n",
- " <td>2019-10-05</td>\n",
- " <td>2019-10-11</td>\n",
- " <td>287</td>\n",
- " <td>298</td>\n",
- " <td>277</td>\n",
- " <td>318</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>42</th>\n",
- " <td>2019-10-12</td>\n",
- " <td>2019-10-18</td>\n",
- " <td>316</td>\n",
- " <td>295</td>\n",
- " <td>282</td>\n",
- " <td>317</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>43</th>\n",
- " <td>2019-10-19</td>\n",
- " <td>2019-10-25</td>\n",
- " <td>279</td>\n",
- " <td>287</td>\n",
- " <td>263</td>\n",
- " <td>299</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>44</th>\n",
- " <td>2019-10-26</td>\n",
- " <td>2019-11-01</td>\n",
- " <td>302</td>\n",
- " <td>283</td>\n",
- " <td>252</td>\n",
- " <td>318</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>45</th>\n",
- " <td>2019-11-02</td>\n",
- " <td>2019-11-08</td>\n",
- " <td>296</td>\n",
- " <td>290</td>\n",
- " <td>267</td>\n",
- " <td>320</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>46</th>\n",
- " <td>2019-11-09</td>\n",
- " <td>2019-11-15</td>\n",
- " <td>336</td>\n",
- " <td>286</td>\n",
- " <td>275</td>\n",
- " <td>295</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>47</th>\n",
- " <td>2019-11-16</td>\n",
- " <td>2019-11-22</td>\n",
- " <td>361</td>\n",
- " <td>305</td>\n",
- " <td>274</td>\n",
- " <td>341</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>48</th>\n",
- " <td>2019-11-23</td>\n",
- " <td>2019-11-29</td>\n",
- " <td>334</td>\n",
- " <td>304</td>\n",
- " <td>294</td>\n",
- " <td>329</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>49</th>\n",
- " <td>2019-11-30</td>\n",
- " <td>2019-12-06</td>\n",
- " <td>351</td>\n",
- " <td>310</td>\n",
- " <td>279</td>\n",
- " <td>355</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>50</th>\n",
- " <td>2019-12-07</td>\n",
- " <td>2019-12-13</td>\n",
- " <td>353</td>\n",
- " <td>306</td>\n",
- " <td>275</td>\n",
- " <td>324</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>51</th>\n",
- " <td>2019-12-14</td>\n",
- " <td>2019-12-20</td>\n",
- " <td>363</td>\n",
- " <td>331</td>\n",
- " <td>298</td>\n",
- " <td>372</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>52</th>\n",
- " <td>2019-12-21</td>\n",
- " <td>2019-12-27</td>\n",
- " <td>194</td>\n",
- " <td>298</td>\n",
- " <td>195</td>\n",
- " <td>360</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- "Registration Week Week Starts (Saturday) Week Ends (Friday) \\\n",
- " Unnamed: 1_level_1 Unnamed: 2_level_1 \n",
- "1 2018-12-29 2019-01-04 \n",
- "2 2019-01-05 2019-01-11 \n",
- "3 2019-01-12 2019-01-18 \n",
- "4 2019-01-19 2019-01-25 \n",
- "5 2019-01-26 2019-02-01 \n",
- "6 2019-02-02 2019-02-08 \n",
- "7 2019-02-09 2019-02-15 \n",
- "8 2019-02-16 2019-02-22 \n",
- "9 2019-02-23 2019-03-01 \n",
- "10 2019-03-02 2019-03-08 \n",
- "11 2019-03-09 2019-03-15 \n",
- "12 2019-03-16 2019-03-22 \n",
- "13 2019-03-23 2019-03-29 \n",
- "14 2019-03-30 2019-04-05 \n",
- "15 2019-04-06 2019-04-12 \n",
- "16 2019-04-13 2019-04-19 \n",
- "17 2019-04-20 2019-04-26 \n",
- "18 2019-04-27 2019-05-03 \n",
- "19 2019-05-04 2019-05-10 \n",
- "20 2019-05-11 2019-05-17 \n",
- "21 2019-05-18 2019-05-24 \n",
- "22 2019-05-25 2019-05-31 \n",
- "23 2019-06-01 2019-06-07 \n",
- "24 2019-06-08 2019-06-14 \n",
- "25 2019-06-15 2019-06-21 \n",
- "26 2019-06-22 2019-06-28 \n",
- "27 2019-06-29 2019-07-05 \n",
- "28 2019-07-06 2019-07-12 \n",
- "29 2019-07-13 2019-07-19 \n",
- "30 2019-07-20 2019-07-26 \n",
- "31 2019-07-27 2019-08-02 \n",
- "32 2019-08-03 2019-08-09 \n",
- "33 2019-08-10 2019-08-16 \n",
- "34 2019-08-17 2019-08-23 \n",
- "35 2019-08-24 2019-08-30 \n",
- "36 2019-08-31 2019-09-06 \n",
- "37 2019-09-07 2019-09-13 \n",
- "38 2019-09-14 2019-09-20 \n",
- "39 2019-09-21 2019-09-27 \n",
- "40 2019-09-28 2019-10-04 \n",
- "41 2019-10-05 2019-10-11 \n",
- "42 2019-10-12 2019-10-18 \n",
- "43 2019-10-19 2019-10-25 \n",
- "44 2019-10-26 2019-11-01 \n",
- "45 2019-11-02 2019-11-08 \n",
- "46 2019-11-09 2019-11-15 \n",
- "47 2019-11-16 2019-11-22 \n",
- "48 2019-11-23 2019-11-29 \n",
- "49 2019-11-30 2019-12-06 \n",
- "50 2019-12-07 2019-12-13 \n",
- "51 2019-12-14 2019-12-20 \n",
- "52 2019-12-21 2019-12-27 \n",
- "\n",
- "Registration Week Total Number of Deaths Registered in Week (2019P) \\\n",
- " Unnamed: 3_level_1 \n",
- "1 365 \n",
- "2 371 \n",
- "3 332 \n",
- "4 335 \n",
- "5 296 \n",
- "6 319 \n",
- "7 342 \n",
- "8 337 \n",
- "9 310 \n",
- "10 342 \n",
- "11 343 \n",
- "12 294 \n",
- "13 307 \n",
- "14 287 \n",
- "15 301 \n",
- "16 316 \n",
- "17 272 \n",
- "18 357 \n",
- "19 288 \n",
- "20 330 \n",
- "21 308 \n",
- "22 245 \n",
- "23 279 \n",
- "24 281 \n",
- "25 296 \n",
- "26 262 \n",
- "27 285 \n",
- "28 256 \n",
- "29 280 \n",
- "30 269 \n",
- "31 273 \n",
- "32 266 \n",
- "33 284 \n",
- "34 274 \n",
- "35 223 \n",
- "36 243 \n",
- "37 305 \n",
- "38 281 \n",
- "39 295 \n",
- "40 263 \n",
- "41 287 \n",
- "42 316 \n",
- "43 279 \n",
- "44 302 \n",
- "45 296 \n",
- "46 336 \n",
- "47 361 \n",
- "48 334 \n",
- "49 351 \n",
- "50 353 \n",
- "51 363 \n",
- "52 194 \n",
- "\n",
- "Registration Week Average number of deaths registered in corresponding week in previous 5 years (2014 to 2018P) \\\n",
- " Unnamed: 4_level_1 \n",
- "1 212 \n",
- "2 387 \n",
- "3 401 \n",
- "4 382 \n",
- "5 385 \n",
- "6 349 \n",
- "7 327 \n",
- "8 309 \n",
- "9 347 \n",
- "10 345 \n",
- "11 338 \n",
- "12 304 \n",
- "13 310 \n",
- "14 301 \n",
- "15 292 \n",
- "16 290 \n",
- "17 279 \n",
- "18 298 \n",
- "19 279 \n",
- "20 279 \n",
- "21 278 \n",
- "22 278 \n",
- "23 263 \n",
- "24 286 \n",
- "25 284 \n",
- "26 259 \n",
- "27 278 \n",
- "28 254 \n",
- "29 256 \n",
- "30 255 \n",
- "31 280 \n",
- "32 281 \n",
- "33 260 \n",
- "34 260 \n",
- "35 271 \n",
- "36 258 \n",
- "37 275 \n",
- "38 285 \n",
- "39 281 \n",
- "40 292 \n",
- "41 298 \n",
- "42 295 \n",
- "43 287 \n",
- "44 283 \n",
- "45 290 \n",
- "46 286 \n",
- "47 305 \n",
- "48 304 \n",
- "49 310 \n",
- "50 306 \n",
- "51 331 \n",
- "52 298 \n",
- "\n",
- "Registration Week Range Unnamed: 6_level_0 \n",
- " Minimum in Previous 5 years Maximum in Previous 5 years \n",
- "1 178 249 \n",
- "2 294 481 \n",
- "3 348 470 \n",
- "4 331 426 \n",
- "5 353 433 \n",
- "6 314 374 \n",
- "7 280 364 \n",
- "8 217 366 \n",
- "9 314 423 \n",
- "10 285 401 \n",
- "11 309 359 \n",
- "12 251 327 \n",
- "13 261 356 \n",
- "14 280 323 \n",
- "15 221 350 \n",
- "16 270 316 \n",
- "17 245 327 \n",
- "18 251 327 \n",
- "19 230 335 \n",
- "20 249 318 \n",
- "21 250 315 \n",
- "22 241 328 \n",
- "23 241 284 \n",
- "24 246 340 \n",
- "25 265 300 \n",
- "26 211 292 \n",
- "27 235 303 \n",
- "28 172 300 \n",
- "29 237 298 \n",
- "30 203 288 \n",
- "31 261 298 \n",
- "32 264 292 \n",
- "33 238 283 \n",
- "34 235 280 \n",
- "35 251 301 \n",
- "36 243 265 \n",
- "37 237 301 \n",
- "38 247 324 \n",
- "39 259 298 \n",
- "40 275 324 \n",
- "41 277 318 \n",
- "42 282 317 \n",
- "43 263 299 \n",
- "44 252 318 \n",
- "45 267 320 \n",
- "46 275 295 \n",
- "47 274 341 \n",
- "48 294 329 \n",
- "49 279 355 \n",
- "50 275 324 \n",
- "51 298 372 \n",
- "52 195 360 "
- ]
- },
- "execution_count": 9,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "raw_data_2019"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": 10,
- "metadata": {
- "Collapsed": "false",
- "scrolled": true
- },
- "outputs": [],
- "source": [
- "raw_data_s = pd.read_csv('uk-deaths-data/weekly-deaths-scotland.csv', \n",
- " index_col=0,\n",
- " header=0,\n",
- " skiprows=2\n",
- " )\n",
- "# raw_data_s"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 11,
- "metadata": {
- "Collapsed": "false",
- "scrolled": true
- },
- "outputs": [
- {
- "data": {
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- " <td>1379.0</td>\n",
- " <td>1305.0</td>\n",
- " <td>1708</td>\n",
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- " <td>1322</td>\n",
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- " <td>1610.0</td>\n",
- " <td>1197.0</td>\n",
- " <td>1187.0</td>\n",
- " <td>1381</td>\n",
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- " <td>1188</td>\n",
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- " <td>1205.0</td>\n",
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- " <td>1217.0</td>\n",
- " <td>1344</td>\n",
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- " <td>1162</td>\n",
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- " <td>1209.0</td>\n",
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- " <td>1022.0</td>\n",
- " <td>1219.0</td>\n",
- " <td>1150.0</td>\n",
- " <td>1308</td>\n",
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- " <td>1208</td>\n",
- " <td>1156.0</td>\n",
- " <td>1475.0</td>\n",
- " <td>1146.0</td>\n",
- " <td>1174.0</td>\n",
- " <td>1192</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>11</th>\n",
- " <td>1156</td>\n",
- " <td>1108.0</td>\n",
- " <td>1220.0</td>\n",
- " <td>1141.0</td>\n",
- " <td>1175.0</td>\n",
- " <td>1201</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>12</th>\n",
- " <td>1196</td>\n",
- " <td>1101.0</td>\n",
- " <td>1158.0</td>\n",
- " <td>1152.0</td>\n",
- " <td>1042.0</td>\n",
- " <td>1149</td>\n",
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- " <tr>\n",
- " <th>13</th>\n",
- " <td>1079</td>\n",
- " <td>1086.0</td>\n",
- " <td>1050.0</td>\n",
- " <td>1112.0</td>\n",
- " <td>1172.0</td>\n",
- " <td>1171</td>\n",
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- " <td>1744</td>\n",
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- " <td>1192.0</td>\n",
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- " <td>1166.0</td>\n",
- " <td>1042</td>\n",
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- " <th>15</th>\n",
- " <td>1978</td>\n",
- " <td>1069.0</td>\n",
- " <td>1192.0</td>\n",
- " <td>998.0</td>\n",
- " <td>1048.0</td>\n",
- " <td>1192</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>16</th>\n",
- " <td>1916</td>\n",
- " <td>902.0</td>\n",
- " <td>1136.0</td>\n",
- " <td>1111.0</td>\n",
- " <td>1092.0</td>\n",
- " <td>1095</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>17</th>\n",
- " <td>1836</td>\n",
- " <td>1121.0</td>\n",
- " <td>1008.0</td>\n",
- " <td>1121.0</td>\n",
- " <td>1076.0</td>\n",
- " <td>1108</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>18</th>\n",
- " <td>1679</td>\n",
- " <td>1131.0</td>\n",
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- " <tr>\n",
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- " <td>1435</td>\n",
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- " <td>1119.0</td>\n",
- " <td>1047.0</td>\n",
- " <td>1020</td>\n",
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- " <tr>\n",
- " <th>20</th>\n",
- " <td>1421</td>\n",
- " <td>1115.0</td>\n",
- " <td>977.0</td>\n",
- " <td>1115.0</td>\n",
- " <td>1010.0</td>\n",
- " <td>1103</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>21</th>\n",
- " <td>1226</td>\n",
- " <td>1061.0</td>\n",
- " <td>1070.0</td>\n",
- " <td>1063.0</td>\n",
- " <td>994.0</td>\n",
- " <td>1039</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>22</th>\n",
- " <td>1125</td>\n",
- " <td>1029.0</td>\n",
- " <td>998.0</td>\n",
- " <td>1015.0</td>\n",
- " <td>999.0</td>\n",
- " <td>1043</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>23</th>\n",
- " <td>1093</td>\n",
- " <td>1042.0</td>\n",
- " <td>1033.0</td>\n",
- " <td>1076.0</td>\n",
- " <td>1023.0</td>\n",
- " <td>1106</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>24</th>\n",
- " <td>1034</td>\n",
- " <td>1028.0</td>\n",
- " <td>915.0</td>\n",
- " <td>1031.0</td>\n",
- " <td>988.0</td>\n",
- " <td>1038</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>25</th>\n",
- " <td>1065</td>\n",
- " <td>1053.0</td>\n",
- " <td>993.0</td>\n",
- " <td>1032.0</td>\n",
- " <td>994.0</td>\n",
- " <td>1025</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>26</th>\n",
- " <td>1008</td>\n",
- " <td>1051.0</td>\n",
- " <td>1046.0</td>\n",
- " <td>994.0</td>\n",
- " <td>1007.0</td>\n",
- " <td>1032</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>27</th>\n",
- " <td>983</td>\n",
- " <td>981.0</td>\n",
- " <td>1041.0</td>\n",
- " <td>1040.0</td>\n",
- " <td>988.0</td>\n",
- " <td>1040</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>28</th>\n",
- " <td>976</td>\n",
- " <td>1077.0</td>\n",
- " <td>1002.0</td>\n",
- " <td>1014.0</td>\n",
- " <td>1022.0</td>\n",
- " <td>1011</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>29</th>\n",
- " <td>1033</td>\n",
- " <td>964.0</td>\n",
- " <td>928.0</td>\n",
- " <td>1025.0</td>\n",
- " <td>1041.0</td>\n",
- " <td>1023</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>30</th>\n",
- " <td>961</td>\n",
- " <td>1041.0</td>\n",
- " <td>933.0</td>\n",
- " <td>978.0</td>\n",
- " <td>979.0</td>\n",
- " <td>956</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>31</th>\n",
- " <td>1043</td>\n",
- " <td>1020.0</td>\n",
- " <td>969.0</td>\n",
- " <td>1011.0</td>\n",
- " <td>987.0</td>\n",
- " <td>985</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>32</th>\n",
- " <td>1011</td>\n",
- " <td>1018.0</td>\n",
- " <td>953.0</td>\n",
- " <td>1002.0</td>\n",
- " <td>997.0</td>\n",
- " <td>1043</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>33</th>\n",
- " <td>922</td>\n",
- " <td>1028.0</td>\n",
- " <td>978.0</td>\n",
- " <td>1004.0</td>\n",
- " <td>982.0</td>\n",
- " <td>969</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>34</th>\n",
- " <td>1046</td>\n",
- " <td>1011.0</td>\n",
- " <td>941.0</td>\n",
- " <td>1045.0</td>\n",
- " <td>1017.0</td>\n",
- " <td>982</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>35</th>\n",
- " <td>1029</td>\n",
- " <td>1013.0</td>\n",
- " <td>930.0</td>\n",
- " <td>980.0</td>\n",
- " <td>1039.0</td>\n",
- " <td>954</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>36</th>\n",
- " <td>1050</td>\n",
- " <td>980.0</td>\n",
- " <td>970.0</td>\n",
- " <td>1006.0</td>\n",
- " <td>1007.0</td>\n",
- " <td>977</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>37</th>\n",
- " <td>1069</td>\n",
- " <td>1074.0</td>\n",
- " <td>1020.0</td>\n",
- " <td>972.0</td>\n",
- " <td>983.0</td>\n",
- " <td>991</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>38</th>\n",
- " <td>952</td>\n",
- " <td>1071.0</td>\n",
- " <td>946.0</td>\n",
- " <td>1049.0</td>\n",
- " <td>966.0</td>\n",
- " <td>1001</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>39</th>\n",
- " <td>933</td>\n",
- " <td>1142.0</td>\n",
- " <td>1015.0</td>\n",
- " <td>1056.0</td>\n",
- " <td>1009.0</td>\n",
- " <td>1010</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>40</th>\n",
- " <td>1195</td>\n",
- " <td>1051.0</td>\n",
- " <td>1042.0</td>\n",
- " <td>1016.0</td>\n",
- " <td>1072.0</td>\n",
- " <td>1008</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>41</th>\n",
- " <td>1071</td>\n",
- " <td>1143.0</td>\n",
- " <td>1081.0</td>\n",
- " <td>1133.0</td>\n",
- " <td>1009.0</td>\n",
- " <td>1028</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>42</th>\n",
- " <td>1131</td>\n",
- " <td>1153.0</td>\n",
- " <td>1031.0</td>\n",
- " <td>1067.0</td>\n",
- " <td>1070.0</td>\n",
- " <td>989</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>43</th>\n",
- " <td>1187</td>\n",
- " <td>1115.0</td>\n",
- " <td>1019.0</td>\n",
- " <td>1095.0</td>\n",
- " <td>1052.0</td>\n",
- " <td>981</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>44</th>\n",
- " <td>1262</td>\n",
- " <td>1101.0</td>\n",
- " <td>1085.0</td>\n",
- " <td>1062.0</td>\n",
- " <td>1032.0</td>\n",
- " <td>1116</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>45</th>\n",
- " <td>1250</td>\n",
- " <td>1184.0</td>\n",
- " <td>1144.0</td>\n",
- " <td>1126.0</td>\n",
- " <td>1043.0</td>\n",
- " <td>1028</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>46</th>\n",
- " <td>1138</td>\n",
- " <td>1160.0</td>\n",
- " <td>1084.0</td>\n",
- " <td>1175.0</td>\n",
- " <td>1174.0</td>\n",
- " <td>1103</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>47</th>\n",
- " <td>1360</td>\n",
- " <td>1229.0</td>\n",
- " <td>1058.0</td>\n",
- " <td>1178.0</td>\n",
- " <td>1132.0</td>\n",
- " <td>1054</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>48</th>\n",
- " <td>1328</td>\n",
- " <td>1163.0</td>\n",
- " <td>1062.0</td>\n",
- " <td>1153.0</td>\n",
- " <td>1159.0</td>\n",
- " <td>1115</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>49</th>\n",
- " <td>1296</td>\n",
- " <td>1108.0</td>\n",
- " <td>1076.0</td>\n",
- " <td>1237.0</td>\n",
- " <td>1188.0</td>\n",
- " <td>1089</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>50</th>\n",
- " <td>1284</td>\n",
- " <td>1312.0</td>\n",
- " <td>1212.0</td>\n",
- " <td>1335.0</td>\n",
- " <td>1219.0</td>\n",
- " <td>1101</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>51</th>\n",
- " <td>1297</td>\n",
- " <td>1277.0</td>\n",
- " <td>1216.0</td>\n",
- " <td>1437.0</td>\n",
- " <td>1284.0</td>\n",
- " <td>1146</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>52</th>\n",
- " <td>1205</td>\n",
- " <td>1000.0</td>\n",
- " <td>1058.0</td>\n",
- " <td>1168.0</td>\n",
- " <td>1133.0</td>\n",
- " <td>944</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>53</th>\n",
- " <td>1178</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>1018</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
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- " total_2020 total_2019 total_2018 total_2017 total_2016 total_2015\n",
- "1 1161 1104.0 1531.0 1205.0 1394.0 1146\n",
- "2 1567 1507.0 1899.0 1379.0 1305.0 1708\n",
- "3 1322 1353.0 1629.0 1224.0 1215.0 1489\n",
- "4 1226 1208.0 1610.0 1197.0 1187.0 1381\n",
- "5 1188 1206.0 1369.0 1332.0 1205.0 1286\n",
- "6 1216 1243.0 1265.0 1200.0 1217.0 1344\n",
- "7 1162 1181.0 1315.0 1231.0 1209.0 1360\n",
- "8 1162 1245.0 1245.0 1185.0 1239.0 1320\n",
- "9 1171 1125.0 1022.0 1219.0 1150.0 1308\n",
- "10 1208 1156.0 1475.0 1146.0 1174.0 1192\n",
- "11 1156 1108.0 1220.0 1141.0 1175.0 1201\n",
- "12 1196 1101.0 1158.0 1152.0 1042.0 1149\n",
- "13 1079 1086.0 1050.0 1112.0 1172.0 1171\n",
- "14 1744 1032.0 1192.0 1060.0 1166.0 1042\n",
- "15 1978 1069.0 1192.0 998.0 1048.0 1192\n",
- "16 1916 902.0 1136.0 1111.0 1092.0 1095\n",
- "17 1836 1121.0 1008.0 1121.0 1076.0 1108\n",
- "18 1679 1131.0 1093.0 1050.0 1006.0 1117\n",
- "19 1435 1018.0 967.0 1119.0 1047.0 1020\n",
- "20 1421 1115.0 977.0 1115.0 1010.0 1103\n",
- "21 1226 1061.0 1070.0 1063.0 994.0 1039\n",
- "22 1125 1029.0 998.0 1015.0 999.0 1043\n",
- "23 1093 1042.0 1033.0 1076.0 1023.0 1106\n",
- "24 1034 1028.0 915.0 1031.0 988.0 1038\n",
- "25 1065 1053.0 993.0 1032.0 994.0 1025\n",
- "26 1008 1051.0 1046.0 994.0 1007.0 1032\n",
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- "32 1011 1018.0 953.0 1002.0 997.0 1043\n",
- "33 922 1028.0 978.0 1004.0 982.0 969\n",
- "34 1046 1011.0 941.0 1045.0 1017.0 982\n",
- "35 1029 1013.0 930.0 980.0 1039.0 954\n",
- "36 1050 980.0 970.0 1006.0 1007.0 977\n",
- "37 1069 1074.0 1020.0 972.0 983.0 991\n",
- "38 952 1071.0 946.0 1049.0 966.0 1001\n",
- "39 933 1142.0 1015.0 1056.0 1009.0 1010\n",
- "40 1195 1051.0 1042.0 1016.0 1072.0 1008\n",
- "41 1071 1143.0 1081.0 1133.0 1009.0 1028\n",
- "42 1131 1153.0 1031.0 1067.0 1070.0 989\n",
- "43 1187 1115.0 1019.0 1095.0 1052.0 981\n",
- "44 1262 1101.0 1085.0 1062.0 1032.0 1116\n",
- "45 1250 1184.0 1144.0 1126.0 1043.0 1028\n",
- "46 1138 1160.0 1084.0 1175.0 1174.0 1103\n",
- "47 1360 1229.0 1058.0 1178.0 1132.0 1054\n",
- "48 1328 1163.0 1062.0 1153.0 1159.0 1115\n",
- "49 1296 1108.0 1076.0 1237.0 1188.0 1089\n",
- "50 1284 1312.0 1212.0 1335.0 1219.0 1101\n",
- "51 1297 1277.0 1216.0 1437.0 1284.0 1146\n",
- "52 1205 1000.0 1058.0 1168.0 1133.0 944\n",
- "53 1178 NaN NaN NaN NaN 1018"
- ]
- },
- "execution_count": 11,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "deaths_headlines_s = raw_data_s[reversed('2015 2016 2017 2018 2019 2020'.split())]\n",
- "deaths_headlines_s.columns = ['total_' + c for c in deaths_headlines_s.columns]\n",
- "deaths_headlines_s.reset_index(drop=True, inplace=True)\n",
- "deaths_headlines_s.index = deaths_headlines_s.index + 1\n",
- "deaths_headlines_s"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": 12,
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- "Collapsed": "false",
- "scrolled": true
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- "outputs": [
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- " <td>2020-01-03 00:00:00</td>\n",
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- " <td>1806</td>\n",
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- " <td>1060</td>\n",
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- " <td>2020-01-10 00:00:00</td>\n",
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- " <td>12933</td>\n",
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- " <td>707</td>\n",
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- " <td>1339</td>\n",
- " <td>1195</td>\n",
- " <td>1450</td>\n",
- " <td>1573</td>\n",
- " <td>1272</td>\n",
- " <td>2132</td>\n",
- " <td>1487</td>\n",
- " <td>939</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>2020-01-17 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>12990</td>\n",
- " <td>NaN</td>\n",
- " <td>13216</td>\n",
- " <td>NaN</td>\n",
- " <td>12370</td>\n",
- " <td>NaN</td>\n",
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- " <td>1407</td>\n",
- " <td>1457</td>\n",
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- " <td>2064</td>\n",
- " <td>1466</td>\n",
- " <td>767</td>\n",
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- " <tr>\n",
- " <th>4</th>\n",
- " <td>2020-01-24 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>11856</td>\n",
- " <td>NaN</td>\n",
- " <td>12760</td>\n",
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- " <td>11933</td>\n",
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- " <td>612</td>\n",
- " <td>1529</td>\n",
- " <td>1187</td>\n",
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- " <td>1231</td>\n",
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- " <td>1028</td>\n",
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- " <td>1253</td>\n",
- " <td>723</td>\n",
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- " <th>5</th>\n",
- " <td>2020-01-31 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>11612</td>\n",
- " <td>NaN</td>\n",
- " <td>12206</td>\n",
- " <td>NaN</td>\n",
- " <td>11419</td>\n",
- " <td>NaN</td>\n",
- " <td>760</td>\n",
- " <td>...</td>\n",
- " <td>561</td>\n",
- " <td>1461</td>\n",
- " <td>1136</td>\n",
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- " <td>727</td>\n",
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- " <tr>\n",
- " <th>6</th>\n",
- " <td>2020-02-07 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10986</td>\n",
- " <td>NaN</td>\n",
- " <td>11925</td>\n",
- " <td>NaN</td>\n",
- " <td>11154</td>\n",
- " <td>NaN</td>\n",
- " <td>729</td>\n",
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- " <td>1529</td>\n",
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- " <td>922</td>\n",
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- " <td>987</td>\n",
- " <td>1729</td>\n",
- " <td>1157</td>\n",
- " <td>690</td>\n",
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- " <th>7</th>\n",
- " <td>2020-02-14 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10944</td>\n",
- " <td>NaN</td>\n",
- " <td>11627</td>\n",
- " <td>NaN</td>\n",
- " <td>10876</td>\n",
- " <td>NaN</td>\n",
- " <td>722</td>\n",
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- " <td>573</td>\n",
- " <td>1427</td>\n",
- " <td>1059</td>\n",
- " <td>976</td>\n",
- " <td>1159</td>\n",
- " <td>1172</td>\n",
- " <td>967</td>\n",
- " <td>1688</td>\n",
- " <td>1169</td>\n",
- " <td>728</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>8</th>\n",
- " <td>2020-02-21 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10841</td>\n",
- " <td>NaN</td>\n",
- " <td>11548</td>\n",
- " <td>NaN</td>\n",
- " <td>10790</td>\n",
- " <td>NaN</td>\n",
- " <td>724</td>\n",
- " <td>...</td>\n",
- " <td>539</td>\n",
- " <td>1477</td>\n",
- " <td>1087</td>\n",
- " <td>924</td>\n",
- " <td>1116</td>\n",
- " <td>1167</td>\n",
- " <td>1032</td>\n",
- " <td>1675</td>\n",
- " <td>1118</td>\n",
- " <td>679</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>9</th>\n",
- " <td>2020-02-28 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10816</td>\n",
- " <td>NaN</td>\n",
- " <td>11183</td>\n",
- " <td>NaN</td>\n",
- " <td>10448</td>\n",
- " <td>NaN</td>\n",
- " <td>698</td>\n",
- " <td>...</td>\n",
- " <td>572</td>\n",
- " <td>1476</td>\n",
- " <td>1078</td>\n",
- " <td>919</td>\n",
- " <td>1174</td>\n",
- " <td>1115</td>\n",
- " <td>1085</td>\n",
- " <td>1587</td>\n",
- " <td>1133</td>\n",
- " <td>651</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>10</th>\n",
- " <td>2020-03-06 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10895</td>\n",
- " <td>NaN</td>\n",
- " <td>11498</td>\n",
- " <td>NaN</td>\n",
- " <td>10745</td>\n",
- " <td>NaN</td>\n",
- " <td>720</td>\n",
- " <td>...</td>\n",
- " <td>568</td>\n",
- " <td>1490</td>\n",
- " <td>1112</td>\n",
- " <td>930</td>\n",
- " <td>1098</td>\n",
- " <td>1149</td>\n",
- " <td>982</td>\n",
- " <td>1726</td>\n",
- " <td>1170</td>\n",
- " <td>652</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>11</th>\n",
- " <td>2020-03-13 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>11019</td>\n",
- " <td>NaN</td>\n",
- " <td>11205</td>\n",
- " <td>NaN</td>\n",
- " <td>10447</td>\n",
- " <td>NaN</td>\n",
- " <td>727</td>\n",
- " <td>...</td>\n",
- " <td>590</td>\n",
- " <td>1472</td>\n",
- " <td>1053</td>\n",
- " <td>915</td>\n",
- " <td>1187</td>\n",
- " <td>1211</td>\n",
- " <td>964</td>\n",
- " <td>1751</td>\n",
- " <td>1174</td>\n",
- " <td>675</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>12</th>\n",
- " <td>2020-03-20 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10645</td>\n",
- " <td>NaN</td>\n",
- " <td>10573</td>\n",
- " <td>NaN</td>\n",
- " <td>9841</td>\n",
- " <td>NaN</td>\n",
- " <td>677</td>\n",
- " <td>...</td>\n",
- " <td>522</td>\n",
- " <td>1443</td>\n",
- " <td>1012</td>\n",
- " <td>947</td>\n",
- " <td>1115</td>\n",
- " <td>1043</td>\n",
- " <td>1008</td>\n",
- " <td>1657</td>\n",
- " <td>1156</td>\n",
- " <td>719</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>13</th>\n",
- " <td>2020-03-27 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>11141</td>\n",
- " <td>NaN</td>\n",
- " <td>10130</td>\n",
- " <td>NaN</td>\n",
- " <td>9414</td>\n",
- " <td>NaN</td>\n",
- " <td>665</td>\n",
- " <td>...</td>\n",
- " <td>542</td>\n",
- " <td>1538</td>\n",
- " <td>982</td>\n",
- " <td>922</td>\n",
- " <td>1035</td>\n",
- " <td>1182</td>\n",
- " <td>1297</td>\n",
- " <td>1822</td>\n",
- " <td>1092</td>\n",
- " <td>719</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>14</th>\n",
- " <td>2020-04-03 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>16387</td>\n",
- " <td>NaN</td>\n",
- " <td>10305</td>\n",
- " <td>NaN</td>\n",
- " <td>9601</td>\n",
- " <td>NaN</td>\n",
- " <td>667</td>\n",
- " <td>...</td>\n",
- " <td>770</td>\n",
- " <td>2137</td>\n",
- " <td>1436</td>\n",
- " <td>1246</td>\n",
- " <td>1812</td>\n",
- " <td>1717</td>\n",
- " <td>2511</td>\n",
- " <td>2294</td>\n",
- " <td>1520</td>\n",
- " <td>920</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>15</th>\n",
- " <td>2020-04-10 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>18516</td>\n",
- " <td>NaN</td>\n",
- " <td>10520</td>\n",
- " <td>NaN</td>\n",
- " <td>9807</td>\n",
- " <td>NaN</td>\n",
- " <td>671</td>\n",
- " <td>...</td>\n",
- " <td>849</td>\n",
- " <td>2597</td>\n",
- " <td>1503</td>\n",
- " <td>1452</td>\n",
- " <td>2182</td>\n",
- " <td>1984</td>\n",
- " <td>2832</td>\n",
- " <td>2604</td>\n",
- " <td>1560</td>\n",
- " <td>928</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>16</th>\n",
- " <td>2020-04-17 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>22351</td>\n",
- " <td>NaN</td>\n",
- " <td>10497</td>\n",
- " <td>NaN</td>\n",
- " <td>9787</td>\n",
- " <td>NaN</td>\n",
- " <td>661</td>\n",
- " <td>...</td>\n",
- " <td>1155</td>\n",
- " <td>3195</td>\n",
- " <td>1960</td>\n",
- " <td>1632</td>\n",
- " <td>2536</td>\n",
- " <td>2466</td>\n",
- " <td>3275</td>\n",
- " <td>3084</td>\n",
- " <td>1854</td>\n",
- " <td>1169</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>17</th>\n",
- " <td>2020-04-24 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>21997</td>\n",
- " <td>NaN</td>\n",
- " <td>10458</td>\n",
- " <td>NaN</td>\n",
- " <td>9768</td>\n",
- " <td>NaN</td>\n",
- " <td>662</td>\n",
- " <td>...</td>\n",
- " <td>1103</td>\n",
- " <td>3109</td>\n",
- " <td>2095</td>\n",
- " <td>1711</td>\n",
- " <td>2481</td>\n",
- " <td>2299</td>\n",
- " <td>2785</td>\n",
- " <td>3334</td>\n",
- " <td>1924</td>\n",
- " <td>1124</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>18</th>\n",
- " <td>2020-05-01 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>17953</td>\n",
- " <td>NaN</td>\n",
- " <td>9941</td>\n",
- " <td>NaN</td>\n",
- " <td>9289</td>\n",
- " <td>NaN</td>\n",
- " <td>624</td>\n",
- " <td>...</td>\n",
- " <td>922</td>\n",
- " <td>2503</td>\n",
- " <td>1844</td>\n",
- " <td>1418</td>\n",
- " <td>1975</td>\n",
- " <td>1982</td>\n",
- " <td>1953</td>\n",
- " <td>2853</td>\n",
- " <td>1554</td>\n",
- " <td>929</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>19</th>\n",
- " <td>2020-05-08 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>12657</td>\n",
- " <td>NaN</td>\n",
- " <td>9576</td>\n",
- " <td>NaN</td>\n",
- " <td>8937</td>\n",
- " <td>NaN</td>\n",
- " <td>612</td>\n",
- " <td>...</td>\n",
- " <td>769</td>\n",
- " <td>1790</td>\n",
- " <td>1328</td>\n",
- " <td>1094</td>\n",
- " <td>1326</td>\n",
- " <td>1321</td>\n",
- " <td>1213</td>\n",
- " <td>1887</td>\n",
- " <td>1218</td>\n",
- " <td>692</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>20</th>\n",
- " <td>2020-05-15 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>14573</td>\n",
- " <td>NaN</td>\n",
- " <td>10188</td>\n",
- " <td>NaN</td>\n",
- " <td>9526</td>\n",
- " <td>NaN</td>\n",
- " <td>635</td>\n",
- " <td>...</td>\n",
- " <td>845</td>\n",
- " <td>1992</td>\n",
- " <td>1589</td>\n",
- " <td>1283</td>\n",
- " <td>1502</td>\n",
- " <td>1543</td>\n",
- " <td>1329</td>\n",
- " <td>2251</td>\n",
- " <td>1449</td>\n",
- " <td>772</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>21</th>\n",
- " <td>2020-05-22 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>12288</td>\n",
- " <td>NaN</td>\n",
- " <td>9940</td>\n",
- " <td>NaN</td>\n",
- " <td>9299</td>\n",
- " <td>NaN</td>\n",
- " <td>614</td>\n",
- " <td>...</td>\n",
- " <td>718</td>\n",
- " <td>1636</td>\n",
- " <td>1236</td>\n",
- " <td>1041</td>\n",
- " <td>1319</td>\n",
- " <td>1397</td>\n",
- " <td>1125</td>\n",
- " <td>1937</td>\n",
- " <td>1177</td>\n",
- " <td>692</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>22</th>\n",
- " <td>2020-05-29 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9824</td>\n",
- " <td>NaN</td>\n",
- " <td>8171</td>\n",
- " <td>NaN</td>\n",
- " <td>7607</td>\n",
- " <td>NaN</td>\n",
- " <td>546</td>\n",
- " <td>...</td>\n",
- " <td>550</td>\n",
- " <td>1337</td>\n",
- " <td>1046</td>\n",
- " <td>863</td>\n",
- " <td>970</td>\n",
- " <td>1095</td>\n",
- " <td>841</td>\n",
- " <td>1515</td>\n",
- " <td>1011</td>\n",
- " <td>587</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>23</th>\n",
- " <td>2020-06-05 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10709</td>\n",
- " <td>NaN</td>\n",
- " <td>9977</td>\n",
- " <td>NaN</td>\n",
- " <td>9346</td>\n",
- " <td>NaN</td>\n",
- " <td>610</td>\n",
- " <td>...</td>\n",
- " <td>576</td>\n",
- " <td>1478</td>\n",
- " <td>1090</td>\n",
- " <td>931</td>\n",
- " <td>1172</td>\n",
- " <td>1131</td>\n",
- " <td>891</td>\n",
- " <td>1610</td>\n",
- " <td>1116</td>\n",
- " <td>700</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>24</th>\n",
- " <td>2020-06-12 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9976</td>\n",
- " <td>NaN</td>\n",
- " <td>9417</td>\n",
- " <td>NaN</td>\n",
- " <td>8803</td>\n",
- " <td>NaN</td>\n",
- " <td>588</td>\n",
- " <td>...</td>\n",
- " <td>478</td>\n",
- " <td>1374</td>\n",
- " <td>980</td>\n",
- " <td>967</td>\n",
- " <td>1096</td>\n",
- " <td>1048</td>\n",
- " <td>883</td>\n",
- " <td>1530</td>\n",
- " <td>1035</td>\n",
- " <td>574</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>25</th>\n",
- " <td>2020-06-19 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9339</td>\n",
- " <td>NaN</td>\n",
- " <td>9404</td>\n",
- " <td>NaN</td>\n",
- " <td>8810</td>\n",
- " <td>NaN</td>\n",
- " <td>573</td>\n",
- " <td>...</td>\n",
- " <td>498</td>\n",
- " <td>1234</td>\n",
- " <td>952</td>\n",
- " <td>835</td>\n",
- " <td>973</td>\n",
- " <td>927</td>\n",
- " <td>896</td>\n",
- " <td>1411</td>\n",
- " <td>990</td>\n",
- " <td>617</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>26</th>\n",
- " <td>2020-06-26 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>8979</td>\n",
- " <td>NaN</td>\n",
- " <td>9293</td>\n",
- " <td>NaN</td>\n",
- " <td>8695</td>\n",
- " <td>NaN</td>\n",
- " <td>571</td>\n",
- " <td>...</td>\n",
- " <td>485</td>\n",
- " <td>1300</td>\n",
- " <td>922</td>\n",
- " <td>800</td>\n",
- " <td>946</td>\n",
- " <td>880</td>\n",
- " <td>791</td>\n",
- " <td>1311</td>\n",
- " <td>979</td>\n",
- " <td>552</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>27</th>\n",
- " <td>2020-07-03 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9140</td>\n",
- " <td>NaN</td>\n",
- " <td>9183</td>\n",
- " <td>NaN</td>\n",
- " <td>8606</td>\n",
- " <td>NaN</td>\n",
- " <td>555</td>\n",
- " <td>...</td>\n",
- " <td>515</td>\n",
- " <td>1225</td>\n",
- " <td>875</td>\n",
- " <td>827</td>\n",
- " <td>949</td>\n",
- " <td>922</td>\n",
- " <td>837</td>\n",
- " <td>1454</td>\n",
- " <td>938</td>\n",
- " <td>584</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>28</th>\n",
- " <td>2020-07-10 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>8690</td>\n",
- " <td>NaN</td>\n",
- " <td>9250</td>\n",
- " <td>NaN</td>\n",
- " <td>8648</td>\n",
- " <td>NaN</td>\n",
- " <td>578</td>\n",
- " <td>...</td>\n",
- " <td>468</td>\n",
- " <td>1154</td>\n",
- " <td>848</td>\n",
- " <td>771</td>\n",
- " <td>902</td>\n",
- " <td>999</td>\n",
- " <td>803</td>\n",
- " <td>1228</td>\n",
- " <td>930</td>\n",
- " <td>572</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>29</th>\n",
- " <td>2020-07-17 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>8823</td>\n",
- " <td>NaN</td>\n",
- " <td>9093</td>\n",
- " <td>NaN</td>\n",
- " <td>8502</td>\n",
- " <td>NaN</td>\n",
- " <td>557</td>\n",
- " <td>...</td>\n",
- " <td>445</td>\n",
- " <td>1159</td>\n",
- " <td>843</td>\n",
- " <td>816</td>\n",
- " <td>956</td>\n",
- " <td>945</td>\n",
- " <td>806</td>\n",
- " <td>1339</td>\n",
- " <td>953</td>\n",
- " <td>550</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>30</th>\n",
- " <td>2020-07-24 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>8891</td>\n",
- " <td>NaN</td>\n",
- " <td>9052</td>\n",
- " <td>NaN</td>\n",
- " <td>8452</td>\n",
- " <td>NaN</td>\n",
- " <td>566</td>\n",
- " <td>...</td>\n",
- " <td>493</td>\n",
- " <td>1197</td>\n",
- " <td>817</td>\n",
- " <td>798</td>\n",
- " <td>964</td>\n",
- " <td>951</td>\n",
- " <td>816</td>\n",
- " <td>1340</td>\n",
- " <td>941</td>\n",
- " <td>565</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>31</th>\n",
- " <td>2020-07-31 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>8946</td>\n",
- " <td>NaN</td>\n",
- " <td>9036</td>\n",
- " <td>NaN</td>\n",
- " <td>8436</td>\n",
- " <td>NaN</td>\n",
- " <td>572</td>\n",
- " <td>...</td>\n",
- " <td>507</td>\n",
- " <td>1272</td>\n",
- " <td>837</td>\n",
- " <td>729</td>\n",
- " <td>902</td>\n",
- " <td>949</td>\n",
- " <td>773</td>\n",
- " <td>1447</td>\n",
- " <td>988</td>\n",
- " <td>531</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>32</th>\n",
- " <td>2020-08-07 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>8945</td>\n",
- " <td>NaN</td>\n",
- " <td>9102</td>\n",
- " <td>NaN</td>\n",
- " <td>8502</td>\n",
- " <td>NaN</td>\n",
- " <td>571</td>\n",
- " <td>...</td>\n",
- " <td>486</td>\n",
- " <td>1211</td>\n",
- " <td>851</td>\n",
- " <td>798</td>\n",
- " <td>933</td>\n",
- " <td>955</td>\n",
- " <td>832</td>\n",
- " <td>1370</td>\n",
- " <td>929</td>\n",
- " <td>563</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>33</th>\n",
- " <td>2020-08-14 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9392</td>\n",
- " <td>NaN</td>\n",
- " <td>9085</td>\n",
- " <td>NaN</td>\n",
- " <td>8494</td>\n",
- " <td>NaN</td>\n",
- " <td>564</td>\n",
- " <td>...</td>\n",
- " <td>520</td>\n",
- " <td>1304</td>\n",
- " <td>853</td>\n",
- " <td>829</td>\n",
- " <td>923</td>\n",
- " <td>1006</td>\n",
- " <td>928</td>\n",
- " <td>1395</td>\n",
- " <td>1009</td>\n",
- " <td>617</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>34</th>\n",
- " <td>2020-08-21 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9631</td>\n",
- " <td>NaN</td>\n",
- " <td>9157</td>\n",
- " <td>NaN</td>\n",
- " <td>8560</td>\n",
- " <td>NaN</td>\n",
- " <td>573</td>\n",
- " <td>...</td>\n",
- " <td>479</td>\n",
- " <td>1269</td>\n",
- " <td>870</td>\n",
- " <td>780</td>\n",
- " <td>1028</td>\n",
- " <td>1024</td>\n",
- " <td>920</td>\n",
- " <td>1608</td>\n",
- " <td>1043</td>\n",
- " <td>594</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>35</th>\n",
- " <td>2020-08-28 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9032</td>\n",
- " <td>NaN</td>\n",
- " <td>8241</td>\n",
- " <td>NaN</td>\n",
- " <td>7674</td>\n",
- " <td>NaN</td>\n",
- " <td>539</td>\n",
- " <td>...</td>\n",
- " <td>455</td>\n",
- " <td>1148</td>\n",
- " <td>922</td>\n",
- " <td>724</td>\n",
- " <td>945</td>\n",
- " <td>951</td>\n",
- " <td>810</td>\n",
- " <td>1511</td>\n",
- " <td>959</td>\n",
- " <td>591</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>36</th>\n",
- " <td>2020-09-04 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>7739</td>\n",
- " <td>NaN</td>\n",
- " <td>9182</td>\n",
- " <td>NaN</td>\n",
- " <td>8604</td>\n",
- " <td>NaN</td>\n",
- " <td>552</td>\n",
- " <td>...</td>\n",
- " <td>431</td>\n",
- " <td>1057</td>\n",
- " <td>780</td>\n",
- " <td>640</td>\n",
- " <td>770</td>\n",
- " <td>806</td>\n",
- " <td>737</td>\n",
- " <td>1208</td>\n",
- " <td>803</td>\n",
- " <td>488</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>37</th>\n",
- " <td>2020-09-11 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9811</td>\n",
- " <td>NaN</td>\n",
- " <td>9306</td>\n",
- " <td>NaN</td>\n",
- " <td>8708</td>\n",
- " <td>NaN</td>\n",
- " <td>577</td>\n",
- " <td>...</td>\n",
- " <td>502</td>\n",
- " <td>1229</td>\n",
- " <td>952</td>\n",
- " <td>867</td>\n",
- " <td>1021</td>\n",
- " <td>1052</td>\n",
- " <td>898</td>\n",
- " <td>1610</td>\n",
- " <td>1084</td>\n",
- " <td>578</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>38</th>\n",
- " <td>2020-09-18 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9523</td>\n",
- " <td>NaN</td>\n",
- " <td>9264</td>\n",
- " <td>NaN</td>\n",
- " <td>8663</td>\n",
- " <td>NaN</td>\n",
- " <td>575</td>\n",
- " <td>...</td>\n",
- " <td>465</td>\n",
- " <td>1287</td>\n",
- " <td>939</td>\n",
- " <td>795</td>\n",
- " <td>1051</td>\n",
- " <td>1023</td>\n",
- " <td>844</td>\n",
- " <td>1530</td>\n",
- " <td>1021</td>\n",
- " <td>555</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>39</th>\n",
- " <td>2020-09-25 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9634</td>\n",
- " <td>NaN</td>\n",
- " <td>9377</td>\n",
- " <td>NaN</td>\n",
- " <td>8744</td>\n",
- " <td>NaN</td>\n",
- " <td>604</td>\n",
- " <td>...</td>\n",
- " <td>514</td>\n",
- " <td>1271</td>\n",
- " <td>965</td>\n",
- " <td>825</td>\n",
- " <td>1036</td>\n",
- " <td>963</td>\n",
- " <td>869</td>\n",
- " <td>1521</td>\n",
- " <td>1041</td>\n",
- " <td>617</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>40</th>\n",
- " <td>2020-10-02 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9945</td>\n",
- " <td>NaN</td>\n",
- " <td>9555</td>\n",
- " <td>NaN</td>\n",
- " <td>8942</td>\n",
- " <td>NaN</td>\n",
- " <td>587</td>\n",
- " <td>...</td>\n",
- " <td>558</td>\n",
- " <td>1301</td>\n",
- " <td>978</td>\n",
- " <td>842</td>\n",
- " <td>1045</td>\n",
- " <td>1054</td>\n",
- " <td>899</td>\n",
- " <td>1577</td>\n",
- " <td>1003</td>\n",
- " <td>671</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>41</th>\n",
- " <td>2020-10-09 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9954</td>\n",
- " <td>NaN</td>\n",
- " <td>9811</td>\n",
- " <td>NaN</td>\n",
- " <td>9168</td>\n",
- " <td>NaN</td>\n",
- " <td>615</td>\n",
- " <td>...</td>\n",
- " <td>544</td>\n",
- " <td>1367</td>\n",
- " <td>1067</td>\n",
- " <td>884</td>\n",
- " <td>1053</td>\n",
- " <td>1019</td>\n",
- " <td>902</td>\n",
- " <td>1462</td>\n",
- " <td>1010</td>\n",
- " <td>638</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>42</th>\n",
- " <td>2020-10-16 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10534</td>\n",
- " <td>NaN</td>\n",
- " <td>9865</td>\n",
- " <td>NaN</td>\n",
- " <td>9215</td>\n",
- " <td>NaN</td>\n",
- " <td>630</td>\n",
- " <td>...</td>\n",
- " <td>606</td>\n",
- " <td>1553</td>\n",
- " <td>1001</td>\n",
- " <td>904</td>\n",
- " <td>1154</td>\n",
- " <td>1056</td>\n",
- " <td>923</td>\n",
- " <td>1462</td>\n",
- " <td>1174</td>\n",
- " <td>688</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>43</th>\n",
- " <td>2020-10-23 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10739</td>\n",
- " <td>NaN</td>\n",
- " <td>9759</td>\n",
- " <td>NaN</td>\n",
- " <td>9104</td>\n",
- " <td>NaN</td>\n",
- " <td>628</td>\n",
- " <td>...</td>\n",
- " <td>600</td>\n",
- " <td>1714</td>\n",
- " <td>1111</td>\n",
- " <td>891</td>\n",
- " <td>1124</td>\n",
- " <td>1154</td>\n",
- " <td>922</td>\n",
- " <td>1510</td>\n",
- " <td>1044</td>\n",
- " <td>661</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>44</th>\n",
- " <td>2020-10-30 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10887</td>\n",
- " <td>NaN</td>\n",
- " <td>9891</td>\n",
- " <td>NaN</td>\n",
- " <td>9248</td>\n",
- " <td>NaN</td>\n",
- " <td>616</td>\n",
- " <td>...</td>\n",
- " <td>591</td>\n",
- " <td>1754</td>\n",
- " <td>1168</td>\n",
- " <td>882</td>\n",
- " <td>1102</td>\n",
- " <td>1089</td>\n",
- " <td>888</td>\n",
- " <td>1563</td>\n",
- " <td>1129</td>\n",
- " <td>712</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>45</th>\n",
- " <td>2020-11-06 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>11812</td>\n",
- " <td>NaN</td>\n",
- " <td>10331</td>\n",
- " <td>NaN</td>\n",
- " <td>9675</td>\n",
- " <td>NaN</td>\n",
- " <td>625</td>\n",
- " <td>...</td>\n",
- " <td>675</td>\n",
- " <td>1900</td>\n",
- " <td>1294</td>\n",
- " <td>990</td>\n",
- " <td>1186</td>\n",
- " <td>1177</td>\n",
- " <td>952</td>\n",
- " <td>1614</td>\n",
- " <td>1174</td>\n",
- " <td>832</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>46</th>\n",
- " <td>2020-11-13 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>12254</td>\n",
- " <td>NaN</td>\n",
- " <td>10350</td>\n",
- " <td>NaN</td>\n",
- " <td>9662</td>\n",
- " <td>NaN</td>\n",
- " <td>658</td>\n",
- " <td>...</td>\n",
- " <td>711</td>\n",
- " <td>1950</td>\n",
- " <td>1350</td>\n",
- " <td>1099</td>\n",
- " <td>1317</td>\n",
- " <td>1172</td>\n",
- " <td>1112</td>\n",
- " <td>1616</td>\n",
- " <td>1168</td>\n",
- " <td>742</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>47</th>\n",
- " <td>2020-11-20 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>12535</td>\n",
- " <td>NaN</td>\n",
- " <td>10380</td>\n",
- " <td>NaN</td>\n",
- " <td>9701</td>\n",
- " <td>NaN</td>\n",
- " <td>653</td>\n",
- " <td>...</td>\n",
- " <td>691</td>\n",
- " <td>1935</td>\n",
- " <td>1441</td>\n",
- " <td>1105</td>\n",
- " <td>1385</td>\n",
- " <td>1186</td>\n",
- " <td>1086</td>\n",
- " <td>1687</td>\n",
- " <td>1159</td>\n",
- " <td>848</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>48</th>\n",
- " <td>2020-11-27 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>12456</td>\n",
- " <td>NaN</td>\n",
- " <td>10357</td>\n",
- " <td>NaN</td>\n",
- " <td>9690</td>\n",
- " <td>NaN</td>\n",
- " <td>646</td>\n",
- " <td>...</td>\n",
- " <td>679</td>\n",
- " <td>1791</td>\n",
- " <td>1501</td>\n",
- " <td>1218</td>\n",
- " <td>1358</td>\n",
- " <td>1159</td>\n",
- " <td>1012</td>\n",
- " <td>1655</td>\n",
- " <td>1272</td>\n",
- " <td>797</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>49</th>\n",
- " <td>2020-12-04 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>12303</td>\n",
- " <td>NaN</td>\n",
- " <td>10695</td>\n",
- " <td>NaN</td>\n",
- " <td>9995</td>\n",
- " <td>NaN</td>\n",
- " <td>679</td>\n",
- " <td>...</td>\n",
- " <td>645</td>\n",
- " <td>1679</td>\n",
- " <td>1403</td>\n",
- " <td>1121</td>\n",
- " <td>1340</td>\n",
- " <td>1229</td>\n",
- " <td>1029</td>\n",
- " <td>1720</td>\n",
- " <td>1284</td>\n",
- " <td>836</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>50</th>\n",
- " <td>2020-12-11 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>12292</td>\n",
- " <td>NaN</td>\n",
- " <td>10750</td>\n",
- " <td>NaN</td>\n",
- " <td>10034</td>\n",
- " <td>NaN</td>\n",
- " <td>693</td>\n",
- " <td>...</td>\n",
- " <td>661</td>\n",
- " <td>1691</td>\n",
- " <td>1326</td>\n",
- " <td>1199</td>\n",
- " <td>1432</td>\n",
- " <td>1224</td>\n",
- " <td>1065</td>\n",
- " <td>1706</td>\n",
- " <td>1156</td>\n",
- " <td>814</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>51</th>\n",
- " <td>2020-12-18 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>13011</td>\n",
- " <td>NaN</td>\n",
- " <td>11548</td>\n",
- " <td>NaN</td>\n",
- " <td>10804</td>\n",
- " <td>NaN</td>\n",
- " <td>718</td>\n",
- " <td>...</td>\n",
- " <td>689</td>\n",
- " <td>1718</td>\n",
- " <td>1380</td>\n",
- " <td>1199</td>\n",
- " <td>1385</td>\n",
- " <td>1317</td>\n",
- " <td>1167</td>\n",
- " <td>1947</td>\n",
- " <td>1311</td>\n",
- " <td>882</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>52</th>\n",
- " <td>2020-12-25 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>11520</td>\n",
- " <td>NaN</td>\n",
- " <td>7954</td>\n",
- " <td>NaN</td>\n",
- " <td>7421</td>\n",
- " <td>NaN</td>\n",
- " <td>518</td>\n",
- " <td>...</td>\n",
- " <td>669</td>\n",
- " <td>1463</td>\n",
- " <td>1130</td>\n",
- " <td>1097</td>\n",
- " <td>1217</td>\n",
- " <td>1198</td>\n",
- " <td>1090</td>\n",
- " <td>1701</td>\n",
- " <td>1115</td>\n",
- " <td>825</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>53</th>\n",
- " <td>2021-01-01 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10069</td>\n",
- " <td>NaN</td>\n",
- " <td>7954</td>\n",
- " <td>NaN</td>\n",
- " <td>7421</td>\n",
- " <td>NaN</td>\n",
- " <td>518</td>\n",
- " <td>...</td>\n",
- " <td>547</td>\n",
- " <td>1346</td>\n",
- " <td>886</td>\n",
- " <td>842</td>\n",
- " <td>1024</td>\n",
- " <td>997</td>\n",
- " <td>1159</td>\n",
- " <td>1595</td>\n",
- " <td>929</td>\n",
- " <td>727</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "<p>54 rows × 91 columns</p>\n",
- "</div>"
- ],
- "text/plain": [
- " NaN NaN NaN NaN \\\n",
- "Week number Week ended NaN NaN Total deaths, all ages \n",
- "1 2020-01-03 00:00:00 NaN NaN 12254 \n",
- "2 2020-01-10 00:00:00 NaN NaN 14058 \n",
- "3 2020-01-17 00:00:00 NaN NaN 12990 \n",
- "4 2020-01-24 00:00:00 NaN NaN 11856 \n",
- "5 2020-01-31 00:00:00 NaN NaN 11612 \n",
- "6 2020-02-07 00:00:00 NaN NaN 10986 \n",
- "7 2020-02-14 00:00:00 NaN NaN 10944 \n",
- "8 2020-02-21 00:00:00 NaN NaN 10841 \n",
- "9 2020-02-28 00:00:00 NaN NaN 10816 \n",
- "10 2020-03-06 00:00:00 NaN NaN 10895 \n",
- "11 2020-03-13 00:00:00 NaN NaN 11019 \n",
- "12 2020-03-20 00:00:00 NaN NaN 10645 \n",
- "13 2020-03-27 00:00:00 NaN NaN 11141 \n",
- "14 2020-04-03 00:00:00 NaN NaN 16387 \n",
- "15 2020-04-10 00:00:00 NaN NaN 18516 \n",
- "16 2020-04-17 00:00:00 NaN NaN 22351 \n",
- "17 2020-04-24 00:00:00 NaN NaN 21997 \n",
- "18 2020-05-01 00:00:00 NaN NaN 17953 \n",
- "19 2020-05-08 00:00:00 NaN NaN 12657 \n",
- "20 2020-05-15 00:00:00 NaN NaN 14573 \n",
- "21 2020-05-22 00:00:00 NaN NaN 12288 \n",
- "22 2020-05-29 00:00:00 NaN NaN 9824 \n",
- "23 2020-06-05 00:00:00 NaN NaN 10709 \n",
- "24 2020-06-12 00:00:00 NaN NaN 9976 \n",
- "25 2020-06-19 00:00:00 NaN NaN 9339 \n",
- "26 2020-06-26 00:00:00 NaN NaN 8979 \n",
- "27 2020-07-03 00:00:00 NaN NaN 9140 \n",
- "28 2020-07-10 00:00:00 NaN NaN 8690 \n",
- "29 2020-07-17 00:00:00 NaN NaN 8823 \n",
- "30 2020-07-24 00:00:00 NaN NaN 8891 \n",
- "31 2020-07-31 00:00:00 NaN NaN 8946 \n",
- "32 2020-08-07 00:00:00 NaN NaN 8945 \n",
- "33 2020-08-14 00:00:00 NaN NaN 9392 \n",
- "34 2020-08-21 00:00:00 NaN NaN 9631 \n",
- "35 2020-08-28 00:00:00 NaN NaN 9032 \n",
- "36 2020-09-04 00:00:00 NaN NaN 7739 \n",
- "37 2020-09-11 00:00:00 NaN NaN 9811 \n",
- "38 2020-09-18 00:00:00 NaN NaN 9523 \n",
- "39 2020-09-25 00:00:00 NaN NaN 9634 \n",
- "40 2020-10-02 00:00:00 NaN NaN 9945 \n",
- "41 2020-10-09 00:00:00 NaN NaN 9954 \n",
- "42 2020-10-16 00:00:00 NaN NaN 10534 \n",
- "43 2020-10-23 00:00:00 NaN NaN 10739 \n",
- "44 2020-10-30 00:00:00 NaN NaN 10887 \n",
- "45 2020-11-06 00:00:00 NaN NaN 11812 \n",
- "46 2020-11-13 00:00:00 NaN NaN 12254 \n",
- "47 2020-11-20 00:00:00 NaN NaN 12535 \n",
- "48 2020-11-27 00:00:00 NaN NaN 12456 \n",
- "49 2020-12-04 00:00:00 NaN NaN 12303 \n",
- "50 2020-12-11 00:00:00 NaN NaN 12292 \n",
- "51 2020-12-18 00:00:00 NaN NaN 13011 \n",
- "52 2020-12-25 00:00:00 NaN NaN 11520 \n",
- "53 2021-01-01 00:00:00 NaN NaN 10069 \n",
- "\n",
- " NaN \\\n",
- "Week number Total deaths: average of corresponding \n",
- "1 NaN \n",
- "2 NaN \n",
- "3 NaN \n",
- "4 NaN \n",
- "5 NaN \n",
- "6 NaN \n",
- "7 NaN \n",
- "8 NaN \n",
- "9 NaN \n",
- "10 NaN \n",
- "11 NaN \n",
- "12 NaN \n",
- "13 NaN \n",
- "14 NaN \n",
- "15 NaN \n",
- "16 NaN \n",
- "17 NaN \n",
- "18 NaN \n",
- "19 NaN \n",
- "20 NaN \n",
- "21 NaN \n",
- "22 NaN \n",
- "23 NaN \n",
- "24 NaN \n",
- "25 NaN \n",
- "26 NaN \n",
- "27 NaN \n",
- "28 NaN \n",
- "29 NaN \n",
- "30 NaN \n",
- "31 NaN \n",
- "32 NaN \n",
- "33 NaN \n",
- "34 NaN \n",
- "35 NaN \n",
- "36 NaN \n",
- "37 NaN \n",
- "38 NaN \n",
- "39 NaN \n",
- "40 NaN \n",
- "41 NaN \n",
- "42 NaN \n",
- "43 NaN \n",
- "44 NaN \n",
- "45 NaN \n",
- "46 NaN \n",
- "47 NaN \n",
- "48 NaN \n",
- "49 NaN \n",
- "50 NaN \n",
- "51 NaN \n",
- "52 NaN \n",
- "53 NaN \n",
- "\n",
- " NaN \\\n",
- "Week number week over the previous 5 years 1, 10, 11 (Engl... \n",
- "1 12175 \n",
- "2 13822 \n",
- "3 13216 \n",
- "4 12760 \n",
- "5 12206 \n",
- "6 11925 \n",
- "7 11627 \n",
- "8 11548 \n",
- "9 11183 \n",
- "10 11498 \n",
- "11 11205 \n",
- "12 10573 \n",
- "13 10130 \n",
- "14 10305 \n",
- "15 10520 \n",
- "16 10497 \n",
- "17 10458 \n",
- "18 9941 \n",
- "19 9576 \n",
- "20 10188 \n",
- "21 9940 \n",
- "22 8171 \n",
- "23 9977 \n",
- "24 9417 \n",
- "25 9404 \n",
- "26 9293 \n",
- "27 9183 \n",
- "28 9250 \n",
- "29 9093 \n",
- "30 9052 \n",
- "31 9036 \n",
- "32 9102 \n",
- "33 9085 \n",
- "34 9157 \n",
- "35 8241 \n",
- "36 9182 \n",
- "37 9306 \n",
- "38 9264 \n",
- "39 9377 \n",
- "40 9555 \n",
- "41 9811 \n",
- "42 9865 \n",
- "43 9759 \n",
- "44 9891 \n",
- "45 10331 \n",
- "46 10350 \n",
- "47 10380 \n",
- "48 10357 \n",
- "49 10695 \n",
- "50 10750 \n",
- "51 11548 \n",
- "52 7954 \n",
- "53 7954 \n",
- "\n",
- " NaN \\\n",
- "Week number Total deaths: average of corresponding \n",
- "1 NaN \n",
- "2 NaN \n",
- "3 NaN \n",
- "4 NaN \n",
- "5 NaN \n",
- "6 NaN \n",
- "7 NaN \n",
- "8 NaN \n",
- "9 NaN \n",
- "10 NaN \n",
- "11 NaN \n",
- "12 NaN \n",
- "13 NaN \n",
- "14 NaN \n",
- "15 NaN \n",
- "16 NaN \n",
- "17 NaN \n",
- "18 NaN \n",
- "19 NaN \n",
- "20 NaN \n",
- "21 NaN \n",
- "22 NaN \n",
- "23 NaN \n",
- "24 NaN \n",
- "25 NaN \n",
- "26 NaN \n",
- "27 NaN \n",
- "28 NaN \n",
- "29 NaN \n",
- "30 NaN \n",
- "31 NaN \n",
- "32 NaN \n",
- "33 NaN \n",
- "34 NaN \n",
- "35 NaN \n",
- "36 NaN \n",
- "37 NaN \n",
- "38 NaN \n",
- "39 NaN \n",
- "40 NaN \n",
- "41 NaN \n",
- "42 NaN \n",
- "43 NaN \n",
- "44 NaN \n",
- "45 NaN \n",
- "46 NaN \n",
- "47 NaN \n",
- "48 NaN \n",
- "49 NaN \n",
- "50 NaN \n",
- "51 NaN \n",
- "52 NaN \n",
- "53 NaN \n",
- "\n",
- " NaN \\\n",
- "Week number week over the previous 5 years 1, 10, 11 (Engl... \n",
- "1 11412 \n",
- "2 12933 \n",
- "3 12370 \n",
- "4 11933 \n",
- "5 11419 \n",
- "6 11154 \n",
- "7 10876 \n",
- "8 10790 \n",
- "9 10448 \n",
- "10 10745 \n",
- "11 10447 \n",
- "12 9841 \n",
- "13 9414 \n",
- "14 9601 \n",
- "15 9807 \n",
- "16 9787 \n",
- "17 9768 \n",
- "18 9289 \n",
- "19 8937 \n",
- "20 9526 \n",
- "21 9299 \n",
- "22 7607 \n",
- "23 9346 \n",
- "24 8803 \n",
- "25 8810 \n",
- "26 8695 \n",
- "27 8606 \n",
- "28 8648 \n",
- "29 8502 \n",
- "30 8452 \n",
- "31 8436 \n",
- "32 8502 \n",
- "33 8494 \n",
- "34 8560 \n",
- "35 7674 \n",
- "36 8604 \n",
- "37 8708 \n",
- "38 8663 \n",
- "39 8744 \n",
- "40 8942 \n",
- "41 9168 \n",
- "42 9215 \n",
- "43 9104 \n",
- "44 9248 \n",
- "45 9675 \n",
- "46 9662 \n",
- "47 9701 \n",
- "48 9690 \n",
- "49 9995 \n",
- "50 10034 \n",
- "51 10804 \n",
- "52 7421 \n",
- "53 7421 \n",
- "\n",
- " NaN \\\n",
- "Week number Total deaths: average of corresponding \n",
- "1 NaN \n",
- "2 NaN \n",
- "3 NaN \n",
- "4 NaN \n",
- "5 NaN \n",
- "6 NaN \n",
- "7 NaN \n",
- "8 NaN \n",
- "9 NaN \n",
- "10 NaN \n",
- "11 NaN \n",
- "12 NaN \n",
- "13 NaN \n",
- "14 NaN \n",
- "15 NaN \n",
- "16 NaN \n",
- "17 NaN \n",
- "18 NaN \n",
- "19 NaN \n",
- "20 NaN \n",
- "21 NaN \n",
- "22 NaN \n",
- "23 NaN \n",
- "24 NaN \n",
- "25 NaN \n",
- "26 NaN \n",
- "27 NaN \n",
- "28 NaN \n",
- "29 NaN \n",
- "30 NaN \n",
- "31 NaN \n",
- "32 NaN \n",
- "33 NaN \n",
- "34 NaN \n",
- "35 NaN \n",
- "36 NaN \n",
- "37 NaN \n",
- "38 NaN \n",
- "39 NaN \n",
- "40 NaN \n",
- "41 NaN \n",
- "42 NaN \n",
- "43 NaN \n",
- "44 NaN \n",
- "45 NaN \n",
- "46 NaN \n",
- "47 NaN \n",
- "48 NaN \n",
- "49 NaN \n",
- "50 NaN \n",
- "51 NaN \n",
- "52 NaN \n",
- "53 NaN \n",
- "\n",
- " NaN ... North East \\\n",
- "Week number week over the previous 5 years 1, 10, 11 (Wales) ... E12000001 \n",
- "1 756 ... 673 \n",
- "2 856 ... 707 \n",
- "3 812 ... 647 \n",
- "4 802 ... 612 \n",
- "5 760 ... 561 \n",
- "6 729 ... 564 \n",
- "7 722 ... 573 \n",
- "8 724 ... 539 \n",
- "9 698 ... 572 \n",
- "10 720 ... 568 \n",
- "11 727 ... 590 \n",
- "12 677 ... 522 \n",
- "13 665 ... 542 \n",
- "14 667 ... 770 \n",
- "15 671 ... 849 \n",
- "16 661 ... 1155 \n",
- "17 662 ... 1103 \n",
- "18 624 ... 922 \n",
- "19 612 ... 769 \n",
- "20 635 ... 845 \n",
- "21 614 ... 718 \n",
- "22 546 ... 550 \n",
- "23 610 ... 576 \n",
- "24 588 ... 478 \n",
- "25 573 ... 498 \n",
- "26 571 ... 485 \n",
- "27 555 ... 515 \n",
- "28 578 ... 468 \n",
- "29 557 ... 445 \n",
- "30 566 ... 493 \n",
- "31 572 ... 507 \n",
- "32 571 ... 486 \n",
- "33 564 ... 520 \n",
- "34 573 ... 479 \n",
- "35 539 ... 455 \n",
- "36 552 ... 431 \n",
- "37 577 ... 502 \n",
- "38 575 ... 465 \n",
- "39 604 ... 514 \n",
- "40 587 ... 558 \n",
- "41 615 ... 544 \n",
- "42 630 ... 606 \n",
- "43 628 ... 600 \n",
- "44 616 ... 591 \n",
- "45 625 ... 675 \n",
- "46 658 ... 711 \n",
- "47 653 ... 691 \n",
- "48 646 ... 679 \n",
- "49 679 ... 645 \n",
- "50 693 ... 661 \n",
- "51 718 ... 689 \n",
- "52 518 ... 669 \n",
- "53 518 ... 547 \n",
- "\n",
- " North West Yorkshire and The Humber East Midlands West Midlands \\\n",
- "Week number E12000002 E12000003 E12000004 E12000005 \n",
- "1 1806 1240 1060 1349 \n",
- "2 1932 1339 1195 1450 \n",
- "3 1696 1278 1106 1407 \n",
- "4 1529 1187 1024 1231 \n",
- "5 1461 1136 1015 1262 \n",
- "6 1529 1072 922 1052 \n",
- "7 1427 1059 976 1159 \n",
- "8 1477 1087 924 1116 \n",
- "9 1476 1078 919 1174 \n",
- "10 1490 1112 930 1098 \n",
- "11 1472 1053 915 1187 \n",
- "12 1443 1012 947 1115 \n",
- "13 1538 982 922 1035 \n",
- "14 2137 1436 1246 1812 \n",
- "15 2597 1503 1452 2182 \n",
- "16 3195 1960 1632 2536 \n",
- "17 3109 2095 1711 2481 \n",
- "18 2503 1844 1418 1975 \n",
- "19 1790 1328 1094 1326 \n",
- "20 1992 1589 1283 1502 \n",
- "21 1636 1236 1041 1319 \n",
- "22 1337 1046 863 970 \n",
- "23 1478 1090 931 1172 \n",
- "24 1374 980 967 1096 \n",
- "25 1234 952 835 973 \n",
- "26 1300 922 800 946 \n",
- "27 1225 875 827 949 \n",
- "28 1154 848 771 902 \n",
- "29 1159 843 816 956 \n",
- "30 1197 817 798 964 \n",
- "31 1272 837 729 902 \n",
- "32 1211 851 798 933 \n",
- "33 1304 853 829 923 \n",
- "34 1269 870 780 1028 \n",
- "35 1148 922 724 945 \n",
- "36 1057 780 640 770 \n",
- "37 1229 952 867 1021 \n",
- "38 1287 939 795 1051 \n",
- "39 1271 965 825 1036 \n",
- "40 1301 978 842 1045 \n",
- "41 1367 1067 884 1053 \n",
- "42 1553 1001 904 1154 \n",
- "43 1714 1111 891 1124 \n",
- "44 1754 1168 882 1102 \n",
- "45 1900 1294 990 1186 \n",
- "46 1950 1350 1099 1317 \n",
- "47 1935 1441 1105 1385 \n",
- "48 1791 1501 1218 1358 \n",
- "49 1679 1403 1121 1340 \n",
- "50 1691 1326 1199 1432 \n",
- "51 1718 1380 1199 1385 \n",
- "52 1463 1130 1097 1217 \n",
- "53 1346 886 842 1024 \n",
- "\n",
- " East London South East South West Wales \n",
- "Week number E12000006 E12000007 E12000008 E12000009 W92000004 \n",
- "1 1162 1113 1814 1225 787 \n",
- "2 1573 1272 2132 1487 939 \n",
- "3 1457 1073 2064 1466 767 \n",
- "4 1410 1028 1833 1253 723 \n",
- "5 1286 1092 1820 1233 727 \n",
- "6 1259 987 1729 1157 690 \n",
- "7 1172 967 1688 1169 728 \n",
- "8 1167 1032 1675 1118 679 \n",
- "9 1115 1085 1587 1133 651 \n",
- "10 1149 982 1726 1170 652 \n",
- "11 1211 964 1751 1174 675 \n",
- "12 1043 1008 1657 1156 719 \n",
- "13 1182 1297 1822 1092 719 \n",
- "14 1717 2511 2294 1520 920 \n",
- "15 1984 2832 2604 1560 928 \n",
- "16 2466 3275 3084 1854 1169 \n",
- "17 2299 2785 3334 1924 1124 \n",
- "18 1982 1953 2853 1554 929 \n",
- "19 1321 1213 1887 1218 692 \n",
- "20 1543 1329 2251 1449 772 \n",
- "21 1397 1125 1937 1177 692 \n",
- "22 1095 841 1515 1011 587 \n",
- "23 1131 891 1610 1116 700 \n",
- "24 1048 883 1530 1035 574 \n",
- "25 927 896 1411 990 617 \n",
- "26 880 791 1311 979 552 \n",
- "27 922 837 1454 938 584 \n",
- "28 999 803 1228 930 572 \n",
- "29 945 806 1339 953 550 \n",
- "30 951 816 1340 941 565 \n",
- "31 949 773 1447 988 531 \n",
- "32 955 832 1370 929 563 \n",
- "33 1006 928 1395 1009 617 \n",
- "34 1024 920 1608 1043 594 \n",
- "35 951 810 1511 959 591 \n",
- "36 806 737 1208 803 488 \n",
- "37 1052 898 1610 1084 578 \n",
- "38 1023 844 1530 1021 555 \n",
- "39 963 869 1521 1041 617 \n",
- "40 1054 899 1577 1003 671 \n",
- "41 1019 902 1462 1010 638 \n",
- "42 1056 923 1462 1174 688 \n",
- "43 1154 922 1510 1044 661 \n",
- "44 1089 888 1563 1129 712 \n",
- "45 1177 952 1614 1174 832 \n",
- "46 1172 1112 1616 1168 742 \n",
- "47 1186 1086 1687 1159 848 \n",
- "48 1159 1012 1655 1272 797 \n",
- "49 1229 1029 1720 1284 836 \n",
- "50 1224 1065 1706 1156 814 \n",
- "51 1317 1167 1947 1311 882 \n",
- "52 1198 1090 1701 1115 825 \n",
- "53 997 1159 1595 929 727 \n",
- "\n",
- "[54 rows x 91 columns]"
- ]
- },
- "execution_count": 12,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "eng_xls = pd.read_excel(england_wales_filename, \n",
- " sheet_name=\"Weekly figures 2020\",\n",
- " skiprows=[0, 1, 2, 3],\n",
- " header=0,\n",
- " index_col=[1]\n",
- " ).iloc[:91].T\n",
- "eng_xls"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 13,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# eng_xls_columns"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 14,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "eng_xls_columns = list(eng_xls.columns)\n",
- "\n",
- "for i, c in enumerate(eng_xls_columns):\n",
- "# print(i, c, type(c), isinstance(c, float))\n",
- " if isinstance(c, float) and np.isnan(c):\n",
- " if eng_xls.iloc[0].iloc[i] is not pd.NaT:\n",
- " eng_xls_columns[i] = eng_xls.iloc[0].iloc[i]\n",
- "\n",
- "# np.isnan(eng_xls_columns[0])\n",
- "# eng_xls_columns\n",
- "\n",
- "eng_xls.columns = eng_xls_columns\n",
- "# eng_xls.columns"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 15,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "Week number Total deaths, all ages\n",
- "1 12254\n",
- "2 14058\n",
- "3 12990\n",
- "4 11856\n",
- "5 11612\n",
- "6 10986\n",
- "7 10944\n",
- "8 10841\n",
- "9 10816\n",
- "10 10895\n",
- "11 11019\n",
- "12 10645\n",
- "13 11141\n",
- "14 16387\n",
- "15 18516\n",
- "16 22351\n",
- "17 21997\n",
- "18 17953\n",
- "19 12657\n",
- "20 14573\n",
- "21 12288\n",
- "22 9824\n",
- "23 10709\n",
- "24 9976\n",
- "25 9339\n",
- "26 8979\n",
- "27 9140\n",
- "28 8690\n",
- "29 8823\n",
- "30 8891\n",
- "31 8946\n",
- "32 8945\n",
- "33 9392\n",
- "34 9631\n",
- "35 9032\n",
- "36 7739\n",
- "37 9811\n",
- "38 9523\n",
- "39 9634\n",
- "40 9945\n",
- "41 9954\n",
- "42 10534\n",
- "43 10739\n",
- "44 10887\n",
- "45 11812\n",
- "46 12254\n",
- "47 12535\n",
- "48 12456\n",
- "49 12303\n",
- "50 12292\n",
- "51 13011\n",
- "52 11520\n",
- "53 10069\n",
- "Name: Total deaths, all ages, dtype: object"
- ]
- },
- "execution_count": 15,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "eng_xls['Total deaths, all ages']"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 16,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "1 787\n",
- "2 939\n",
- "3 767\n",
- "4 723\n",
- "5 727\n",
- "6 690\n",
- "7 728\n",
- "8 679\n",
- "9 651\n",
- "10 652\n",
- "11 675\n",
- "12 719\n",
- "13 719\n",
- "14 920\n",
- "15 928\n",
- "16 1169\n",
- "17 1124\n",
- "18 929\n",
- "19 692\n",
- "20 772\n",
- "21 692\n",
- "22 587\n",
- "23 700\n",
- "24 574\n",
- "25 617\n",
- "26 552\n",
- "27 584\n",
- "28 572\n",
- "29 550\n",
- "30 565\n",
- "31 531\n",
- "32 563\n",
- "33 617\n",
- "34 594\n",
- "35 591\n",
- "36 488\n",
- "37 578\n",
- "38 555\n",
- "39 617\n",
- "40 671\n",
- "41 638\n",
- "42 688\n",
- "43 661\n",
- "44 712\n",
- "45 832\n",
- "46 742\n",
- "47 848\n",
- "48 797\n",
- "49 836\n",
- "50 814\n",
- "51 882\n",
- "52 825\n",
- "53 727\n",
- "Name: Wales, dtype: object"
- ]
- },
- "execution_count": 16,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "eng_xls['Wales'].iloc[1:]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 17,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# raw_data_2020 = pd.read_csv('uk-deaths-data/publishedweek272020.csv', \n",
- "# parse_dates=[1], dayfirst=True,\n",
- "# index_col=0,\n",
- "# header=[0, 1])"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": 18,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# raw_data_2020.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 19,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# raw_data_2020['W92000004', 'Wales']"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 20,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "raw_data_2019 = pd.read_csv('uk-deaths-data/publishedweek522019.csv', \n",
- " parse_dates=[1], dayfirst=True,\n",
- " index_col=0,\n",
- " header=[0, 1])\n",
- "# raw_data_2019.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 21,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "raw_data_2018 = pd.read_csv('uk-deaths-data/publishedweek522018.csv', \n",
- " parse_dates=[1], dayfirst=True,\n",
- " index_col=0,\n",
- " header=[0, 1])\n",
- "# raw_data_2018.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 22,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "raw_data_2017 = pd.read_csv('uk-deaths-data/publishedweek522017.csv', \n",
- " parse_dates=[1], dayfirst=True,\n",
- " index_col=0,\n",
- " header=[0, 1])\n",
- "# raw_data_2017.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 23,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "raw_data_2016 = pd.read_csv('uk-deaths-data/publishedweek522016.csv', \n",
- " parse_dates=[1], dayfirst=True,\n",
- " index_col=0,\n",
- " header=[0, 1])\n",
- "# raw_data_2016.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 24,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "raw_data_2015 = pd.read_csv('uk-deaths-data/publishedweek2015.csv', \n",
- " parse_dates=[1], dayfirst=True,\n",
- " index_col=0,\n",
- " header=[0, 1])\n",
- "# raw_data_2015.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 25,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "dhw = eng_xls['Wales'].iloc[1:]\n",
- "dhe = eng_xls['Total deaths, all ages'].iloc[1:] - dhw\n",
- "deaths_headlines_e = pd.DataFrame({'total_2020': dhe.dropna()})\n",
- "deaths_headlines_w = pd.DataFrame({'total_2020': dhw.dropna()})"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 26,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# deaths_headlines_e = raw_data_2020.iloc[:, [1]].copy()\n",
- "# deaths_headlines_e.columns = ['total_2020']\n",
- "# deaths_headlines_w = raw_data_2020['W92000004'].copy()\n",
- "# deaths_headlines_e.columns = ['total_2020']\n",
- "# deaths_headlines_w.columns = ['total_2020']\n",
- "# deaths_headlines_e.total_2020 -= deaths_headlines_w.total_2020\n",
- "# deaths_headlines_e.head()\n",
- "# deaths_headlines_e"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 27,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "/home/neil/anaconda3/lib/python3.8/site-packages/pandas/core/generic.py:5489: SettingWithCopyWarning: \n",
- "A value is trying to be set on a copy of a slice from a DataFrame.\n",
- "Try using .loc[row_indexer,col_indexer] = value instead\n",
- "\n",
- "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
- " self[name] = value\n"
- ]
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- "<div>\n",
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- "execution_count": 27,
- "metadata": {},
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- "source": [
- "dh19e = raw_data_2019.iloc[:, [1]]\n",
- "dh19w = raw_data_2019['W92000004']\n",
- "dh19e.columns = ['total_2019']\n",
- "dh19w.columns = ['total_2019']\n",
- "dh19e.total_2019 -= dh19w.total_2019\n",
- "dh19e.tail()"
- ]
- },
- {
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- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>total_2019</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>718</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>809</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>683</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>734</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>5</th>\n",
- " <td>745</td>\n",
- " </tr>\n",
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- "text/plain": [
- " total_2019\n",
- "1 718\n",
- "2 809\n",
- "3 683\n",
- "4 734\n",
- "5 745"
- ]
- },
- "execution_count": 28,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "dh19w.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 29,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "/home/neil/anaconda3/lib/python3.8/site-packages/pandas/core/generic.py:5489: SettingWithCopyWarning: \n",
- "A value is trying to be set on a copy of a slice from a DataFrame.\n",
- "Try using .loc[row_indexer,col_indexer] = value instead\n",
- "\n",
- "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
- " self[name] = value\n"
- ]
- }
- ],
- "source": [
- "dh18e = raw_data_2018.iloc[:, [1]]\n",
- "dh18w = raw_data_2018['W92000004']\n",
- "dh18e.columns = ['total_2018']\n",
- "dh18w.columns = ['total_2018']\n",
- "dh18e.total_2018 -= dh18w.total_2018\n",
- "# dh18e.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 30,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "dh17e = raw_data_2017.iloc[:, [1]]\n",
- "dh17w = raw_data_2017['W92000004']\n",
- "dh17e.columns = ['total_2017']\n",
- "dh17w.columns = ['total_2017']\n",
- "dh17e.total_2017 -= dh17w.total_2017\n",
- "# dh17e.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 31,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "dh16e = raw_data_2016.iloc[:, [1]]\n",
- "dh16w = raw_data_2016['W92000004']\n",
- "dh16e.columns = ['total_2016']\n",
- "dh16w.columns = ['total_2016']\n",
- "dh16e.total_2016 -= dh16w.total_2016\n",
- "# dh16e.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 32,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "dh15e = raw_data_2015.iloc[:, [1]]\n",
- "dh15w = raw_data_2015['W92000004']\n",
- "dh15e.columns = ['total_2015']\n",
- "dh15w.columns = ['total_2015']\n",
- "dh15e.total_2015 -= dh15w.total_2015\n",
- "# dh15e.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 33,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# dh18 = raw_data_2018.iloc[:, [1, 2]]\n",
- "# dh18.columns = ['total_2018', 'total_previous']\n",
- "# # dh18.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 34,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
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- " <td>11996.0</td>\n",
- " <td>10600.0</td>\n",
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- " <td>11736.0</td>\n",
- " <td>10362.0</td>\n",
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- " <td>10470.0</td>\n",
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- " <td>10216</td>\n",
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- " <td>11443.0</td>\n",
- " <td>10954.0</td>\n",
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- " <td>10360.0</td>\n",
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- " <td>10243</td>\n",
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- " <td>12101.0</td>\n",
- " <td>10443.0</td>\n",
- " <td>10276.0</td>\n",
- " <td>10757</td>\n",
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- " <th>11</th>\n",
- " <td>10344</td>\n",
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- " <td>11870.0</td>\n",
- " <td>10044.0</td>\n",
- " <td>10284.0</td>\n",
- " <td>10290</td>\n",
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- " <td>9888</td>\n",
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- " <td>9369.0</td>\n",
- " <td>9574.0</td>\n",
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- " <td>10857.0</td>\n",
- " <td>8482</td>\n",
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- " <td>7916.0</td>\n",
- " <td>10679.0</td>\n",
- " <td>9429</td>\n",
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- " <th>16</th>\n",
- " <td>21182</td>\n",
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- " <td>10535.0</td>\n",
- " <td>8990.0</td>\n",
- " <td>10211.0</td>\n",
- " <td>10968</td>\n",
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- " <th>17</th>\n",
- " <td>20873</td>\n",
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- " <td>9692.0</td>\n",
- " <td>10181.0</td>\n",
- " <td>9784.0</td>\n",
- " <td>9937</td>\n",
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- " <td>17024</td>\n",
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- " <td>11965</td>\n",
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- " <td>8094.0</td>\n",
- " <td>10006.0</td>\n",
- " <td>9985.0</td>\n",
- " <td>8273</td>\n",
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- " <tr>\n",
- " <th>20</th>\n",
- " <td>13801</td>\n",
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- " <td>9474.0</td>\n",
- " <td>9673.0</td>\n",
- " <td>9342.0</td>\n",
- " <td>9668</td>\n",
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- " <td>9438.0</td>\n",
- " <td>9115.0</td>\n",
- " <td>9391</td>\n",
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- " <td>9237</td>\n",
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- " <td>7746.0</td>\n",
- " <td>7409.0</td>\n",
- " <td>7625</td>\n",
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- " <th>23</th>\n",
- " <td>10009</td>\n",
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- " <td>9343.0</td>\n",
- " <td>9182.0</td>\n",
- " <td>9289.0</td>\n",
- " <td>9509</td>\n",
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- " <tr>\n",
- " <th>24</th>\n",
- " <td>9402</td>\n",
- " <td>8847.0</td>\n",
- " <td>8782.0</td>\n",
- " <td>8768.0</td>\n",
- " <td>8808.0</td>\n",
- " <td>8942</td>\n",
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- " <tr>\n",
- " <th>25</th>\n",
- " <td>8722</td>\n",
- " <td>8916.0</td>\n",
- " <td>8694.0</td>\n",
- " <td>9019.0</td>\n",
- " <td>8807.0</td>\n",
- " <td>8717</td>\n",
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- " <tr>\n",
- " <th>26</th>\n",
- " <td>8427</td>\n",
- " <td>8947.0</td>\n",
- " <td>8613.0</td>\n",
- " <td>8788.0</td>\n",
- " <td>8679.0</td>\n",
- " <td>8593</td>\n",
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- " <tr>\n",
- " <th>27</th>\n",
- " <td>8556</td>\n",
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- " <td>8614.0</td>\n",
- " <td>8670</td>\n",
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- " <td>8118</td>\n",
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- " <td>8710.0</td>\n",
- " <td>8812.0</td>\n",
- " <td>8789.0</td>\n",
- " <td>8461</td>\n",
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- " <tr>\n",
- " <th>29</th>\n",
- " <td>8273</td>\n",
- " <td>8527.0</td>\n",
- " <td>8579.0</td>\n",
- " <td>8562.0</td>\n",
- " <td>8790.0</td>\n",
- " <td>8228</td>\n",
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- " <tr>\n",
- " <th>30</th>\n",
- " <td>8326</td>\n",
- " <td>8569.0</td>\n",
- " <td>8581.0</td>\n",
- " <td>8296.0</td>\n",
- " <td>8725.0</td>\n",
- " <td>8262</td>\n",
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- " <tr>\n",
- " <th>31</th>\n",
- " <td>8415</td>\n",
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- " <td>8587.0</td>\n",
- " <td>8351.0</td>\n",
- " <td>8602.0</td>\n",
- " <td>8071</td>\n",
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- " <th>32</th>\n",
- " <td>8382</td>\n",
- " <td>8580.0</td>\n",
- " <td>8782.0</td>\n",
- " <td>8466.0</td>\n",
- " <td>8531.0</td>\n",
- " <td>8298</td>\n",
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- " <tr>\n",
- " <th>33</th>\n",
- " <td>8775</td>\n",
- " <td>8504.0</td>\n",
- " <td>8312.0</td>\n",
- " <td>8707.0</td>\n",
- " <td>8496.0</td>\n",
- " <td>8600</td>\n",
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- " <tr>\n",
- " <th>34</th>\n",
- " <td>9037</td>\n",
- " <td>8441.0</td>\n",
- " <td>8413.0</td>\n",
- " <td>8812.0</td>\n",
- " <td>8700.0</td>\n",
- " <td>8564</td>\n",
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- " <tr>\n",
- " <th>35</th>\n",
- " <td>8441</td>\n",
- " <td>7684.0</td>\n",
- " <td>7354.0</td>\n",
- " <td>7594.0</td>\n",
- " <td>7453.0</td>\n",
- " <td>8423</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>36</th>\n",
- " <td>7251</td>\n",
- " <td>9113.0</td>\n",
- " <td>8851.0</td>\n",
- " <td>8955.0</td>\n",
- " <td>8847.0</td>\n",
- " <td>7389</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>37</th>\n",
- " <td>9233</td>\n",
- " <td>8946.0</td>\n",
- " <td>8612.0</td>\n",
- " <td>8845.0</td>\n",
- " <td>8548.0</td>\n",
- " <td>8704</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>38</th>\n",
- " <td>8968</td>\n",
- " <td>8868.0</td>\n",
- " <td>8707.0</td>\n",
- " <td>8949.0</td>\n",
- " <td>8382.0</td>\n",
- " <td>8542</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>39</th>\n",
- " <td>9017</td>\n",
- " <td>8906.0</td>\n",
- " <td>8590.0</td>\n",
- " <td>9096.0</td>\n",
- " <td>8402.0</td>\n",
- " <td>8865</td>\n",
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- " <tr>\n",
- " <th>40</th>\n",
- " <td>9274</td>\n",
- " <td>9202.0</td>\n",
- " <td>8908.0</td>\n",
- " <td>9147.0</td>\n",
- " <td>8729.0</td>\n",
- " <td>8858</td>\n",
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- " <td>9316</td>\n",
- " <td>9383.0</td>\n",
- " <td>9043.0</td>\n",
- " <td>9300.0</td>\n",
- " <td>9132.0</td>\n",
- " <td>9124</td>\n",
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- " <th>42</th>\n",
- " <td>9846</td>\n",
- " <td>9534.0</td>\n",
- " <td>9224.0</td>\n",
- " <td>9381.0</td>\n",
- " <td>9144.0</td>\n",
- " <td>8899</td>\n",
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- " <tr>\n",
- " <th>43</th>\n",
- " <td>10078</td>\n",
- " <td>9351.0</td>\n",
- " <td>8970.0</td>\n",
- " <td>9131.0</td>\n",
- " <td>9100.0</td>\n",
- " <td>9104</td>\n",
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- " <tr>\n",
- " <th>44</th>\n",
- " <td>10175</td>\n",
- " <td>9522.0</td>\n",
- " <td>8925.0</td>\n",
- " <td>9389.0</td>\n",
- " <td>9508.0</td>\n",
- " <td>9025</td>\n",
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- " <th>45</th>\n",
- " <td>10980</td>\n",
- " <td>10044.0</td>\n",
- " <td>9509.0</td>\n",
- " <td>9748.0</td>\n",
- " <td>9844.0</td>\n",
- " <td>9388</td>\n",
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- " <th>46</th>\n",
- " <td>11512</td>\n",
- " <td>9976.0</td>\n",
- " <td>9537.0</td>\n",
- " <td>9609.0</td>\n",
- " <td>10013.0</td>\n",
- " <td>9325</td>\n",
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- " <td>11687</td>\n",
- " <td>10183.0</td>\n",
- " <td>9300.0</td>\n",
- " <td>9982.0</td>\n",
- " <td>9942.0</td>\n",
- " <td>9219</td>\n",
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- " <tr>\n",
- " <th>48</th>\n",
- " <td>11659</td>\n",
- " <td>10269.0</td>\n",
- " <td>9360.0</td>\n",
- " <td>9902.0</td>\n",
- " <td>9796.0</td>\n",
- " <td>9233</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>49</th>\n",
- " <td>11467</td>\n",
- " <td>10079.0</td>\n",
- " <td>9613.0</td>\n",
- " <td>10151.0</td>\n",
- " <td>10530.0</td>\n",
- " <td>9706</td>\n",
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- " <tr>\n",
- " <th>50</th>\n",
- " <td>11478</td>\n",
- " <td>10489.0</td>\n",
- " <td>9842.0</td>\n",
- " <td>10509.0</td>\n",
- " <td>9870.0</td>\n",
- " <td>9581</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>51</th>\n",
- " <td>12129</td>\n",
- " <td>11159.0</td>\n",
- " <td>10392.0</td>\n",
- " <td>11755.0</td>\n",
- " <td>10802.0</td>\n",
- " <td>10043</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>52</th>\n",
- " <td>10695</td>\n",
- " <td>7037.0</td>\n",
- " <td>6670.0</td>\n",
- " <td>7946.0</td>\n",
- " <td>7445.0</td>\n",
- " <td>8095</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>53</th>\n",
- " <td>9342</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>7008</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " total_2020 total_2019 total_2018 total_2017 total_2016 total_2015\n",
- "1 11467 10237.0 11940.0 11247.0 12236.0 11561\n",
- "2 13119 11800.0 14146.0 12890.0 10790.0 15206\n",
- "3 12223 11177.0 13371.0 12775.0 10753.0 13930\n",
- "4 11133 11006.0 13085.0 11996.0 10600.0 13106\n",
- "5 10885 10552.0 12470.0 11736.0 10362.0 12099\n",
- "6 10296 10959.0 11694.0 11546.0 10470.0 11319\n",
- "7 10216 11076.0 11443.0 10954.0 9933.0 11112\n",
- "8 10162 10600.0 11353.0 11093.0 10360.0 10695\n",
- "9 10165 10360.0 10220.0 10533.0 10564.0 10736\n",
- "10 10243 10276.0 12101.0 10443.0 10276.0 10757\n",
- "11 10344 9901.0 11870.0 10044.0 10284.0 10290\n",
- "12 9926 9774.0 11139.0 9690.0 8967.0 9888\n",
- "13 10422 9213.0 9308.0 9369.0 9574.0 9827\n",
- "14 15467 9484.0 10064.0 9297.0 10857.0 8482\n",
- "15 17588 9654.0 11558.0 7916.0 10679.0 9429\n",
- "16 21182 8445.0 10535.0 8990.0 10211.0 10968\n",
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- "22 9237 7742.0 7609.0 7746.0 7409.0 7625\n",
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- "24 9402 8847.0 8782.0 8768.0 8808.0 8942\n",
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- "28 8118 8591.0 8710.0 8812.0 8789.0 8461\n",
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- "31 8415 8701.0 8587.0 8351.0 8602.0 8071\n",
- "32 8382 8580.0 8782.0 8466.0 8531.0 8298\n",
- "33 8775 8504.0 8312.0 8707.0 8496.0 8600\n",
- "34 9037 8441.0 8413.0 8812.0 8700.0 8564\n",
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- "36 7251 9113.0 8851.0 8955.0 8847.0 7389\n",
- "37 9233 8946.0 8612.0 8845.0 8548.0 8704\n",
- "38 8968 8868.0 8707.0 8949.0 8382.0 8542\n",
- "39 9017 8906.0 8590.0 9096.0 8402.0 8865\n",
- "40 9274 9202.0 8908.0 9147.0 8729.0 8858\n",
- "41 9316 9383.0 9043.0 9300.0 9132.0 9124\n",
- "42 9846 9534.0 9224.0 9381.0 9144.0 8899\n",
- "43 10078 9351.0 8970.0 9131.0 9100.0 9104\n",
- "44 10175 9522.0 8925.0 9389.0 9508.0 9025\n",
- "45 10980 10044.0 9509.0 9748.0 9844.0 9388\n",
- "46 11512 9976.0 9537.0 9609.0 10013.0 9325\n",
- "47 11687 10183.0 9300.0 9982.0 9942.0 9219\n",
- "48 11659 10269.0 9360.0 9902.0 9796.0 9233\n",
- "49 11467 10079.0 9613.0 10151.0 10530.0 9706\n",
- "50 11478 10489.0 9842.0 10509.0 9870.0 9581\n",
- "51 12129 11159.0 10392.0 11755.0 10802.0 10043\n",
- "52 10695 7037.0 6670.0 7946.0 7445.0 8095\n",
- "53 9342 NaN NaN NaN NaN 7008"
- ]
- },
- "execution_count": 34,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "deaths_headlines_e = deaths_headlines_e.merge(dh19e['total_2019'], how='outer', left_index=True, right_index=True)\n",
- "deaths_headlines_e = deaths_headlines_e.merge(dh18e['total_2018'], how='outer', left_index=True, right_index=True)\n",
- "deaths_headlines_e = deaths_headlines_e.merge(dh17e['total_2017'], how='outer', left_index=True, right_index=True)\n",
- "deaths_headlines_e = deaths_headlines_e.merge(dh16e['total_2016'], how='outer', left_index=True, right_index=True)\n",
- "# deaths_headlines = deaths_headlines.merge(dh15['total_2015'], how='outer', left_index=True, right_index=True)\n",
- "deaths_headlines_e = deaths_headlines_e.merge(dh15e['total_2015'], how='left', left_index=True, right_index=True)\n",
- "deaths_headlines_e"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 35,
- "metadata": {
- "Collapsed": "false",
- "scrolled": true
- },
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
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- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>total_2020</th>\n",
- " <th>total_2019</th>\n",
- " <th>total_2018</th>\n",
- " <th>total_2017</th>\n",
- " <th>total_2016</th>\n",
- " <th>total_2015</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>1161</td>\n",
- " <td>1104.0</td>\n",
- " <td>1531.0</td>\n",
- " <td>1205.0</td>\n",
- " <td>1394.0</td>\n",
- " <td>1146</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>1567</td>\n",
- " <td>1507.0</td>\n",
- " <td>1899.0</td>\n",
- " <td>1379.0</td>\n",
- " <td>1305.0</td>\n",
- " <td>1708</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>1322</td>\n",
- " <td>1353.0</td>\n",
- " <td>1629.0</td>\n",
- " <td>1224.0</td>\n",
- " <td>1215.0</td>\n",
- " <td>1489</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>1226</td>\n",
- " <td>1208.0</td>\n",
- " <td>1610.0</td>\n",
- " <td>1197.0</td>\n",
- " <td>1187.0</td>\n",
- " <td>1381</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>5</th>\n",
- " <td>1188</td>\n",
- " <td>1206.0</td>\n",
- " <td>1369.0</td>\n",
- " <td>1332.0</td>\n",
- " <td>1205.0</td>\n",
- " <td>1286</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>6</th>\n",
- " <td>1216</td>\n",
- " <td>1243.0</td>\n",
- " <td>1265.0</td>\n",
- " <td>1200.0</td>\n",
- " <td>1217.0</td>\n",
- " <td>1344</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>7</th>\n",
- " <td>1162</td>\n",
- " <td>1181.0</td>\n",
- " <td>1315.0</td>\n",
- " <td>1231.0</td>\n",
- " <td>1209.0</td>\n",
- " <td>1360</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>8</th>\n",
- " <td>1162</td>\n",
- " <td>1245.0</td>\n",
- " <td>1245.0</td>\n",
- " <td>1185.0</td>\n",
- " <td>1239.0</td>\n",
- " <td>1320</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>9</th>\n",
- " <td>1171</td>\n",
- " <td>1125.0</td>\n",
- " <td>1022.0</td>\n",
- " <td>1219.0</td>\n",
- " <td>1150.0</td>\n",
- " <td>1308</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>10</th>\n",
- " <td>1208</td>\n",
- " <td>1156.0</td>\n",
- " <td>1475.0</td>\n",
- " <td>1146.0</td>\n",
- " <td>1174.0</td>\n",
- " <td>1192</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>11</th>\n",
- " <td>1156</td>\n",
- " <td>1108.0</td>\n",
- " <td>1220.0</td>\n",
- " <td>1141.0</td>\n",
- " <td>1175.0</td>\n",
- " <td>1201</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>12</th>\n",
- " <td>1196</td>\n",
- " <td>1101.0</td>\n",
- " <td>1158.0</td>\n",
- " <td>1152.0</td>\n",
- " <td>1042.0</td>\n",
- " <td>1149</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>13</th>\n",
- " <td>1079</td>\n",
- " <td>1086.0</td>\n",
- " <td>1050.0</td>\n",
- " <td>1112.0</td>\n",
- " <td>1172.0</td>\n",
- " <td>1171</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>14</th>\n",
- " <td>1744</td>\n",
- " <td>1032.0</td>\n",
- " <td>1192.0</td>\n",
- " <td>1060.0</td>\n",
- " <td>1166.0</td>\n",
- " <td>1042</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>15</th>\n",
- " <td>1978</td>\n",
- " <td>1069.0</td>\n",
- " <td>1192.0</td>\n",
- " <td>998.0</td>\n",
- " <td>1048.0</td>\n",
- " <td>1192</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>16</th>\n",
- " <td>1916</td>\n",
- " <td>902.0</td>\n",
- " <td>1136.0</td>\n",
- " <td>1111.0</td>\n",
- " <td>1092.0</td>\n",
- " <td>1095</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>17</th>\n",
- " <td>1836</td>\n",
- " <td>1121.0</td>\n",
- " <td>1008.0</td>\n",
- " <td>1121.0</td>\n",
- " <td>1076.0</td>\n",
- " <td>1108</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>18</th>\n",
- " <td>1679</td>\n",
- " <td>1131.0</td>\n",
- " <td>1093.0</td>\n",
- " <td>1050.0</td>\n",
- " <td>1006.0</td>\n",
- " <td>1117</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>19</th>\n",
- " <td>1435</td>\n",
- " <td>1018.0</td>\n",
- " <td>967.0</td>\n",
- " <td>1119.0</td>\n",
- " <td>1047.0</td>\n",
- " <td>1020</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>20</th>\n",
- " <td>1421</td>\n",
- " <td>1115.0</td>\n",
- " <td>977.0</td>\n",
- " <td>1115.0</td>\n",
- " <td>1010.0</td>\n",
- " <td>1103</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>21</th>\n",
- " <td>1226</td>\n",
- " <td>1061.0</td>\n",
- " <td>1070.0</td>\n",
- " <td>1063.0</td>\n",
- " <td>994.0</td>\n",
- " <td>1039</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>22</th>\n",
- " <td>1125</td>\n",
- " <td>1029.0</td>\n",
- " <td>998.0</td>\n",
- " <td>1015.0</td>\n",
- " <td>999.0</td>\n",
- " <td>1043</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>23</th>\n",
- " <td>1093</td>\n",
- " <td>1042.0</td>\n",
- " <td>1033.0</td>\n",
- " <td>1076.0</td>\n",
- " <td>1023.0</td>\n",
- " <td>1106</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>24</th>\n",
- " <td>1034</td>\n",
- " <td>1028.0</td>\n",
- " <td>915.0</td>\n",
- " <td>1031.0</td>\n",
- " <td>988.0</td>\n",
- " <td>1038</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>25</th>\n",
- " <td>1065</td>\n",
- " <td>1053.0</td>\n",
- " <td>993.0</td>\n",
- " <td>1032.0</td>\n",
- " <td>994.0</td>\n",
- " <td>1025</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>26</th>\n",
- " <td>1008</td>\n",
- " <td>1051.0</td>\n",
- " <td>1046.0</td>\n",
- " <td>994.0</td>\n",
- " <td>1007.0</td>\n",
- " <td>1032</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>27</th>\n",
- " <td>983</td>\n",
- " <td>981.0</td>\n",
- " <td>1041.0</td>\n",
- " <td>1040.0</td>\n",
- " <td>988.0</td>\n",
- " <td>1040</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>28</th>\n",
- " <td>976</td>\n",
- " <td>1077.0</td>\n",
- " <td>1002.0</td>\n",
- " <td>1014.0</td>\n",
- " <td>1022.0</td>\n",
- " <td>1011</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>29</th>\n",
- " <td>1033</td>\n",
- " <td>964.0</td>\n",
- " <td>928.0</td>\n",
- " <td>1025.0</td>\n",
- " <td>1041.0</td>\n",
- " <td>1023</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>30</th>\n",
- " <td>961</td>\n",
- " <td>1041.0</td>\n",
- " <td>933.0</td>\n",
- " <td>978.0</td>\n",
- " <td>979.0</td>\n",
- " <td>956</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>31</th>\n",
- " <td>1043</td>\n",
- " <td>1020.0</td>\n",
- " <td>969.0</td>\n",
- " <td>1011.0</td>\n",
- " <td>987.0</td>\n",
- " <td>985</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>32</th>\n",
- " <td>1011</td>\n",
- " <td>1018.0</td>\n",
- " <td>953.0</td>\n",
- " <td>1002.0</td>\n",
- " <td>997.0</td>\n",
- " <td>1043</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>33</th>\n",
- " <td>922</td>\n",
- " <td>1028.0</td>\n",
- " <td>978.0</td>\n",
- " <td>1004.0</td>\n",
- " <td>982.0</td>\n",
- " <td>969</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>34</th>\n",
- " <td>1046</td>\n",
- " <td>1011.0</td>\n",
- " <td>941.0</td>\n",
- " <td>1045.0</td>\n",
- " <td>1017.0</td>\n",
- " <td>982</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>35</th>\n",
- " <td>1029</td>\n",
- " <td>1013.0</td>\n",
- " <td>930.0</td>\n",
- " <td>980.0</td>\n",
- " <td>1039.0</td>\n",
- " <td>954</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>36</th>\n",
- " <td>1050</td>\n",
- " <td>980.0</td>\n",
- " <td>970.0</td>\n",
- " <td>1006.0</td>\n",
- " <td>1007.0</td>\n",
- " <td>977</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>37</th>\n",
- " <td>1069</td>\n",
- " <td>1074.0</td>\n",
- " <td>1020.0</td>\n",
- " <td>972.0</td>\n",
- " <td>983.0</td>\n",
- " <td>991</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>38</th>\n",
- " <td>952</td>\n",
- " <td>1071.0</td>\n",
- " <td>946.0</td>\n",
- " <td>1049.0</td>\n",
- " <td>966.0</td>\n",
- " <td>1001</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>39</th>\n",
- " <td>933</td>\n",
- " <td>1142.0</td>\n",
- " <td>1015.0</td>\n",
- " <td>1056.0</td>\n",
- " <td>1009.0</td>\n",
- " <td>1010</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>40</th>\n",
- " <td>1195</td>\n",
- " <td>1051.0</td>\n",
- " <td>1042.0</td>\n",
- " <td>1016.0</td>\n",
- " <td>1072.0</td>\n",
- " <td>1008</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>41</th>\n",
- " <td>1071</td>\n",
- " <td>1143.0</td>\n",
- " <td>1081.0</td>\n",
- " <td>1133.0</td>\n",
- " <td>1009.0</td>\n",
- " <td>1028</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>42</th>\n",
- " <td>1131</td>\n",
- " <td>1153.0</td>\n",
- " <td>1031.0</td>\n",
- " <td>1067.0</td>\n",
- " <td>1070.0</td>\n",
- " <td>989</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>43</th>\n",
- " <td>1187</td>\n",
- " <td>1115.0</td>\n",
- " <td>1019.0</td>\n",
- " <td>1095.0</td>\n",
- " <td>1052.0</td>\n",
- " <td>981</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>44</th>\n",
- " <td>1262</td>\n",
- " <td>1101.0</td>\n",
- " <td>1085.0</td>\n",
- " <td>1062.0</td>\n",
- " <td>1032.0</td>\n",
- " <td>1116</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>45</th>\n",
- " <td>1250</td>\n",
- " <td>1184.0</td>\n",
- " <td>1144.0</td>\n",
- " <td>1126.0</td>\n",
- " <td>1043.0</td>\n",
- " <td>1028</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>46</th>\n",
- " <td>1138</td>\n",
- " <td>1160.0</td>\n",
- " <td>1084.0</td>\n",
- " <td>1175.0</td>\n",
- " <td>1174.0</td>\n",
- " <td>1103</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>47</th>\n",
- " <td>1360</td>\n",
- " <td>1229.0</td>\n",
- " <td>1058.0</td>\n",
- " <td>1178.0</td>\n",
- " <td>1132.0</td>\n",
- " <td>1054</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>48</th>\n",
- " <td>1328</td>\n",
- " <td>1163.0</td>\n",
- " <td>1062.0</td>\n",
- " <td>1153.0</td>\n",
- " <td>1159.0</td>\n",
- " <td>1115</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>49</th>\n",
- " <td>1296</td>\n",
- " <td>1108.0</td>\n",
- " <td>1076.0</td>\n",
- " <td>1237.0</td>\n",
- " <td>1188.0</td>\n",
- " <td>1089</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>50</th>\n",
- " <td>1284</td>\n",
- " <td>1312.0</td>\n",
- " <td>1212.0</td>\n",
- " <td>1335.0</td>\n",
- " <td>1219.0</td>\n",
- " <td>1101</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>51</th>\n",
- " <td>1297</td>\n",
- " <td>1277.0</td>\n",
- " <td>1216.0</td>\n",
- " <td>1437.0</td>\n",
- " <td>1284.0</td>\n",
- " <td>1146</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>52</th>\n",
- " <td>1205</td>\n",
- " <td>1000.0</td>\n",
- " <td>1058.0</td>\n",
- " <td>1168.0</td>\n",
- " <td>1133.0</td>\n",
- " <td>944</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " total_2020 total_2019 total_2018 total_2017 total_2016 total_2015\n",
- "1 1161 1104.0 1531.0 1205.0 1394.0 1146\n",
- "2 1567 1507.0 1899.0 1379.0 1305.0 1708\n",
- "3 1322 1353.0 1629.0 1224.0 1215.0 1489\n",
- "4 1226 1208.0 1610.0 1197.0 1187.0 1381\n",
- "5 1188 1206.0 1369.0 1332.0 1205.0 1286\n",
- "6 1216 1243.0 1265.0 1200.0 1217.0 1344\n",
- "7 1162 1181.0 1315.0 1231.0 1209.0 1360\n",
- "8 1162 1245.0 1245.0 1185.0 1239.0 1320\n",
- "9 1171 1125.0 1022.0 1219.0 1150.0 1308\n",
- "10 1208 1156.0 1475.0 1146.0 1174.0 1192\n",
- "11 1156 1108.0 1220.0 1141.0 1175.0 1201\n",
- "12 1196 1101.0 1158.0 1152.0 1042.0 1149\n",
- "13 1079 1086.0 1050.0 1112.0 1172.0 1171\n",
- "14 1744 1032.0 1192.0 1060.0 1166.0 1042\n",
- "15 1978 1069.0 1192.0 998.0 1048.0 1192\n",
- "16 1916 902.0 1136.0 1111.0 1092.0 1095\n",
- "17 1836 1121.0 1008.0 1121.0 1076.0 1108\n",
- "18 1679 1131.0 1093.0 1050.0 1006.0 1117\n",
- "19 1435 1018.0 967.0 1119.0 1047.0 1020\n",
- "20 1421 1115.0 977.0 1115.0 1010.0 1103\n",
- "21 1226 1061.0 1070.0 1063.0 994.0 1039\n",
- "22 1125 1029.0 998.0 1015.0 999.0 1043\n",
- "23 1093 1042.0 1033.0 1076.0 1023.0 1106\n",
- "24 1034 1028.0 915.0 1031.0 988.0 1038\n",
- "25 1065 1053.0 993.0 1032.0 994.0 1025\n",
- "26 1008 1051.0 1046.0 994.0 1007.0 1032\n",
- "27 983 981.0 1041.0 1040.0 988.0 1040\n",
- "28 976 1077.0 1002.0 1014.0 1022.0 1011\n",
- "29 1033 964.0 928.0 1025.0 1041.0 1023\n",
- "30 961 1041.0 933.0 978.0 979.0 956\n",
- "31 1043 1020.0 969.0 1011.0 987.0 985\n",
- "32 1011 1018.0 953.0 1002.0 997.0 1043\n",
- "33 922 1028.0 978.0 1004.0 982.0 969\n",
- "34 1046 1011.0 941.0 1045.0 1017.0 982\n",
- "35 1029 1013.0 930.0 980.0 1039.0 954\n",
- "36 1050 980.0 970.0 1006.0 1007.0 977\n",
- "37 1069 1074.0 1020.0 972.0 983.0 991\n",
- "38 952 1071.0 946.0 1049.0 966.0 1001\n",
- "39 933 1142.0 1015.0 1056.0 1009.0 1010\n",
- "40 1195 1051.0 1042.0 1016.0 1072.0 1008\n",
- "41 1071 1143.0 1081.0 1133.0 1009.0 1028\n",
- "42 1131 1153.0 1031.0 1067.0 1070.0 989\n",
- "43 1187 1115.0 1019.0 1095.0 1052.0 981\n",
- "44 1262 1101.0 1085.0 1062.0 1032.0 1116\n",
- "45 1250 1184.0 1144.0 1126.0 1043.0 1028\n",
- "46 1138 1160.0 1084.0 1175.0 1174.0 1103\n",
- "47 1360 1229.0 1058.0 1178.0 1132.0 1054\n",
- "48 1328 1163.0 1062.0 1153.0 1159.0 1115\n",
- "49 1296 1108.0 1076.0 1237.0 1188.0 1089\n",
- "50 1284 1312.0 1212.0 1335.0 1219.0 1101\n",
- "51 1297 1277.0 1216.0 1437.0 1284.0 1146\n",
- "52 1205 1000.0 1058.0 1168.0 1133.0 944"
- ]
- },
- "execution_count": 35,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "deaths_headlines_s = raw_data_s[reversed('2015 2016 2017 2018 2019 2020'.split())]\n",
- "deaths_headlines_s.columns = ['total_' + c for c in deaths_headlines_s.columns]\n",
- "deaths_headlines_s.reset_index(drop=True, inplace=True)\n",
- "deaths_headlines_s.index = deaths_headlines_s.index + 1\n",
- "deaths_headlines_s = deaths_headlines_s.loc[1:52]\n",
- "deaths_headlines_s"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "Collapsed": "false"
- },
- "source": [
- "# Correction for missing data"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 36,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# deaths_headlines_s.loc[20, 'total_2020'] = 1000\n",
- "# deaths_headlines_s"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 37,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/html": [
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- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>total_2020</th>\n",
- " <th>total_2019</th>\n",
- " <th>total_2018</th>\n",
- " <th>total_2017</th>\n",
- " <th>total_2016</th>\n",
- " <th>total_2015</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>787</td>\n",
- " <td>718.0</td>\n",
- " <td>783.0</td>\n",
- " <td>744.0</td>\n",
- " <td>809.0</td>\n",
- " <td>725</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>939</td>\n",
- " <td>809.0</td>\n",
- " <td>904.0</td>\n",
- " <td>825.0</td>\n",
- " <td>711.0</td>\n",
- " <td>1031</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>767</td>\n",
- " <td>683.0</td>\n",
- " <td>885.0</td>\n",
- " <td>835.0</td>\n",
- " <td>720.0</td>\n",
- " <td>936</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>723</td>\n",
- " <td>734.0</td>\n",
- " <td>850.0</td>\n",
- " <td>881.0</td>\n",
- " <td>717.0</td>\n",
- " <td>828</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>5</th>\n",
- " <td>727</td>\n",
- " <td>745.0</td>\n",
- " <td>815.0</td>\n",
- " <td>749.0</td>\n",
- " <td>690.0</td>\n",
- " <td>801</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>6</th>\n",
- " <td>690</td>\n",
- " <td>701.0</td>\n",
- " <td>801.0</td>\n",
- " <td>723.0</td>\n",
- " <td>700.0</td>\n",
- " <td>720</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>7</th>\n",
- " <td>728</td>\n",
- " <td>748.0</td>\n",
- " <td>803.0</td>\n",
- " <td>690.0</td>\n",
- " <td>657.0</td>\n",
- " <td>710</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>8</th>\n",
- " <td>679</td>\n",
- " <td>695.0</td>\n",
- " <td>789.0</td>\n",
- " <td>701.0</td>\n",
- " <td>696.0</td>\n",
- " <td>739</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>9</th>\n",
- " <td>651</td>\n",
- " <td>684.0</td>\n",
- " <td>634.0</td>\n",
- " <td>715.0</td>\n",
- " <td>721.0</td>\n",
- " <td>736</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>10</th>\n",
- " <td>652</td>\n",
- " <td>622.0</td>\n",
- " <td>896.0</td>\n",
- " <td>634.0</td>\n",
- " <td>734.0</td>\n",
- " <td>712</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>11</th>\n",
- " <td>675</td>\n",
- " <td>666.0</td>\n",
- " <td>918.0</td>\n",
- " <td>653.0</td>\n",
- " <td>738.0</td>\n",
- " <td>661</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>12</th>\n",
- " <td>719</td>\n",
- " <td>628.0</td>\n",
- " <td>774.0</td>\n",
- " <td>635.0</td>\n",
- " <td>668.0</td>\n",
- " <td>680</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>13</th>\n",
- " <td>719</td>\n",
- " <td>654.0</td>\n",
- " <td>633.0</td>\n",
- " <td>658.0</td>\n",
- " <td>712.0</td>\n",
- " <td>666</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>14</th>\n",
- " <td>920</td>\n",
- " <td>642.0</td>\n",
- " <td>730.0</td>\n",
- " <td>642.0</td>\n",
- " <td>742.0</td>\n",
- " <td>580</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>15</th>\n",
- " <td>928</td>\n",
- " <td>637.0</td>\n",
- " <td>743.0</td>\n",
- " <td>577.0</td>\n",
- " <td>738.0</td>\n",
- " <td>660</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>16</th>\n",
- " <td>1169</td>\n",
- " <td>580.0</td>\n",
- " <td>688.0</td>\n",
- " <td>654.0</td>\n",
- " <td>714.0</td>\n",
- " <td>671</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>17</th>\n",
- " <td>1124</td>\n",
- " <td>678.0</td>\n",
- " <td>614.0</td>\n",
- " <td>727.0</td>\n",
- " <td>629.0</td>\n",
- " <td>662</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>18</th>\n",
- " <td>929</td>\n",
- " <td>688.0</td>\n",
- " <td>633.0</td>\n",
- " <td>600.0</td>\n",
- " <td>569.0</td>\n",
- " <td>628</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>19</th>\n",
- " <td>692</td>\n",
- " <td>600.0</td>\n",
- " <td>530.0</td>\n",
- " <td>687.0</td>\n",
- " <td>652.0</td>\n",
- " <td>589</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>20</th>\n",
- " <td>772</td>\n",
- " <td>658.0</td>\n",
- " <td>667.0</td>\n",
- " <td>615.0</td>\n",
- " <td>611.0</td>\n",
- " <td>622</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>21</th>\n",
- " <td>692</td>\n",
- " <td>627.0</td>\n",
- " <td>603.0</td>\n",
- " <td>602.0</td>\n",
- " <td>624.0</td>\n",
- " <td>614</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>22</th>\n",
- " <td>587</td>\n",
- " <td>518.0</td>\n",
- " <td>538.0</td>\n",
- " <td>586.0</td>\n",
- " <td>500.0</td>\n",
- " <td>588</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>23</th>\n",
- " <td>700</td>\n",
- " <td>626.0</td>\n",
- " <td>607.0</td>\n",
- " <td>584.0</td>\n",
- " <td>584.0</td>\n",
- " <td>648</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>24</th>\n",
- " <td>574</td>\n",
- " <td>598.0</td>\n",
- " <td>561.0</td>\n",
- " <td>599.0</td>\n",
- " <td>578.0</td>\n",
- " <td>606</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>25</th>\n",
- " <td>617</td>\n",
- " <td>542.0</td>\n",
- " <td>562.0</td>\n",
- " <td>608.0</td>\n",
- " <td>558.0</td>\n",
- " <td>595</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>26</th>\n",
- " <td>552</td>\n",
- " <td>564.0</td>\n",
- " <td>599.0</td>\n",
- " <td>546.0</td>\n",
- " <td>549.0</td>\n",
- " <td>597</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>27</th>\n",
- " <td>584</td>\n",
- " <td>534.0</td>\n",
- " <td>625.0</td>\n",
- " <td>556.0</td>\n",
- " <td>524.0</td>\n",
- " <td>535</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>28</th>\n",
- " <td>572</td>\n",
- " <td>588.0</td>\n",
- " <td>583.0</td>\n",
- " <td>564.0</td>\n",
- " <td>599.0</td>\n",
- " <td>554</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>29</th>\n",
- " <td>550</td>\n",
- " <td>553.0</td>\n",
- " <td>548.0</td>\n",
- " <td>551.0</td>\n",
- " <td>560.0</td>\n",
- " <td>574</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>30</th>\n",
- " <td>565</td>\n",
- " <td>543.0</td>\n",
- " <td>560.0</td>\n",
- " <td>586.0</td>\n",
- " <td>610.0</td>\n",
- " <td>529</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>31</th>\n",
- " <td>531</td>\n",
- " <td>570.0</td>\n",
- " <td>574.0</td>\n",
- " <td>590.0</td>\n",
- " <td>580.0</td>\n",
- " <td>546</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>32</th>\n",
- " <td>563</td>\n",
- " <td>542.0</td>\n",
- " <td>537.0</td>\n",
- " <td>572.0</td>\n",
- " <td>641.0</td>\n",
- " <td>564</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>33</th>\n",
- " <td>617</td>\n",
- " <td>589.0</td>\n",
- " <td>518.0</td>\n",
- " <td>592.0</td>\n",
- " <td>574.0</td>\n",
- " <td>548</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>34</th>\n",
- " <td>594</td>\n",
- " <td>553.0</td>\n",
- " <td>565.0</td>\n",
- " <td>570.0</td>\n",
- " <td>619.0</td>\n",
- " <td>557</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>35</th>\n",
- " <td>591</td>\n",
- " <td>558.0</td>\n",
- " <td>511.0</td>\n",
- " <td>555.0</td>\n",
- " <td>470.0</td>\n",
- " <td>603</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>36</th>\n",
- " <td>488</td>\n",
- " <td>582.0</td>\n",
- " <td>594.0</td>\n",
- " <td>542.0</td>\n",
- " <td>552.0</td>\n",
- " <td>489</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>37</th>\n",
- " <td>578</td>\n",
- " <td>567.0</td>\n",
- " <td>579.0</td>\n",
- " <td>609.0</td>\n",
- " <td>576.0</td>\n",
- " <td>554</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>38</th>\n",
- " <td>555</td>\n",
- " <td>572.0</td>\n",
- " <td>598.0</td>\n",
- " <td>585.0</td>\n",
- " <td>563.0</td>\n",
- " <td>555</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>39</th>\n",
- " <td>617</td>\n",
- " <td>611.0</td>\n",
- " <td>560.0</td>\n",
- " <td>593.0</td>\n",
- " <td>592.0</td>\n",
- " <td>664</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>40</th>\n",
- " <td>671</td>\n",
- " <td>597.0</td>\n",
- " <td>595.0</td>\n",
- " <td>631.0</td>\n",
- " <td>562.0</td>\n",
- " <td>552</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>41</th>\n",
- " <td>638</td>\n",
- " <td>590.0</td>\n",
- " <td>606.0</td>\n",
- " <td>640.0</td>\n",
- " <td>587.0</td>\n",
- " <td>652</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>42</th>\n",
- " <td>688</td>\n",
- " <td>622.0</td>\n",
- " <td>640.0</td>\n",
- " <td>650.0</td>\n",
- " <td>624.0</td>\n",
- " <td>612</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>43</th>\n",
- " <td>661</td>\n",
- " <td>670.0</td>\n",
- " <td>633.0</td>\n",
- " <td>608.0</td>\n",
- " <td>624.0</td>\n",
- " <td>607</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>44</th>\n",
- " <td>712</td>\n",
- " <td>642.0</td>\n",
- " <td>604.0</td>\n",
- " <td>595.0</td>\n",
- " <td>644.0</td>\n",
- " <td>593</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>45</th>\n",
- " <td>832</td>\n",
- " <td>653.0</td>\n",
- " <td>642.0</td>\n",
- " <td>598.0</td>\n",
- " <td>626.0</td>\n",
- " <td>606</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>46</th>\n",
- " <td>742</td>\n",
- " <td>674.0</td>\n",
- " <td>656.0</td>\n",
- " <td>666.0</td>\n",
- " <td>681.0</td>\n",
- " <td>613</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>47</th>\n",
- " <td>848</td>\n",
- " <td>699.0</td>\n",
- " <td>657.0</td>\n",
- " <td>639.0</td>\n",
- " <td>661.0</td>\n",
- " <td>611</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>48</th>\n",
- " <td>797</td>\n",
- " <td>689.0</td>\n",
- " <td>673.0</td>\n",
- " <td>636.0</td>\n",
- " <td>643.0</td>\n",
- " <td>589</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>49</th>\n",
- " <td>836</td>\n",
- " <td>737.0</td>\n",
- " <td>674.0</td>\n",
- " <td>630.0</td>\n",
- " <td>693.0</td>\n",
- " <td>659</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>50</th>\n",
- " <td>814</td>\n",
- " <td>699.0</td>\n",
- " <td>708.0</td>\n",
- " <td>708.0</td>\n",
- " <td>663.0</td>\n",
- " <td>688</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>51</th>\n",
- " <td>882</td>\n",
- " <td>767.0</td>\n",
- " <td>724.0</td>\n",
- " <td>762.0</td>\n",
- " <td>691.0</td>\n",
- " <td>646</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>52</th>\n",
- " <td>825</td>\n",
- " <td>496.0</td>\n",
- " <td>461.0</td>\n",
- " <td>541.0</td>\n",
- " <td>558.0</td>\n",
- " <td>535</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>53</th>\n",
- " <td>727</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>516</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " total_2020 total_2019 total_2018 total_2017 total_2016 total_2015\n",
- "1 787 718.0 783.0 744.0 809.0 725\n",
- "2 939 809.0 904.0 825.0 711.0 1031\n",
- "3 767 683.0 885.0 835.0 720.0 936\n",
- "4 723 734.0 850.0 881.0 717.0 828\n",
- "5 727 745.0 815.0 749.0 690.0 801\n",
- "6 690 701.0 801.0 723.0 700.0 720\n",
- "7 728 748.0 803.0 690.0 657.0 710\n",
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- "51 882 767.0 724.0 762.0 691.0 646\n",
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- "53 727 NaN NaN NaN NaN 516"
- ]
- },
- "execution_count": 37,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "deaths_headlines_w = deaths_headlines_w.merge(dh19w['total_2019'], how='outer', left_index=True, right_index=True)\n",
- "deaths_headlines_w = deaths_headlines_w.merge(dh18w['total_2018'], how='outer', left_index=True, right_index=True)\n",
- "deaths_headlines_w = deaths_headlines_w.merge(dh17w['total_2017'], how='outer', left_index=True, right_index=True)\n",
- "deaths_headlines_w = deaths_headlines_w.merge(dh16w['total_2016'], how='outer', left_index=True, right_index=True)\n",
- "# deaths_headlines = deaths_headlines.merge(dh15['total_2015'], how='outer', left_index=True, right_index=True)\n",
- "deaths_headlines_w = deaths_headlines_w.merge(dh15w['total_2015'], how='left', left_index=True, right_index=True)\n",
- "deaths_headlines_w"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 38,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/html": [
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- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>total_2020</th>\n",
- " <th>total_2019</th>\n",
- " <th>total_2018</th>\n",
- " <th>total_2017</th>\n",
- " <th>total_2016</th>\n",
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- " <tr>\n",
- " <th>1</th>\n",
- " <td>353</td>\n",
- " <td>365.0</td>\n",
- " <td>447.0</td>\n",
- " <td>416.0</td>\n",
- " <td>424.0</td>\n",
- " <td>319</td>\n",
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- " <td>395</td>\n",
- " <td>371.0</td>\n",
- " <td>481.0</td>\n",
- " <td>434.0</td>\n",
- " <td>348.0</td>\n",
- " <td>373</td>\n",
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- " <th>3</th>\n",
- " <td>411</td>\n",
- " <td>332.0</td>\n",
- " <td>470.0</td>\n",
- " <td>397.0</td>\n",
- " <td>372.0</td>\n",
- " <td>383</td>\n",
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- " <td>335.0</td>\n",
- " <td>426.0</td>\n",
- " <td>387.0</td>\n",
- " <td>355.0</td>\n",
- " <td>397</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>5</th>\n",
- " <td>323</td>\n",
- " <td>296.0</td>\n",
- " <td>433.0</td>\n",
- " <td>371.0</td>\n",
- " <td>314.0</td>\n",
- " <td>374</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>6</th>\n",
- " <td>332</td>\n",
- " <td>319.0</td>\n",
- " <td>351.0</td>\n",
- " <td>336.0</td>\n",
- " <td>310.0</td>\n",
- " <td>347</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>7</th>\n",
- " <td>306</td>\n",
- " <td>342.0</td>\n",
- " <td>364.0</td>\n",
- " <td>337.0</td>\n",
- " <td>217.0</td>\n",
- " <td>328</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>8</th>\n",
- " <td>297</td>\n",
- " <td>337.0</td>\n",
- " <td>366.0</td>\n",
- " <td>351.0</td>\n",
- " <td>423.0</td>\n",
- " <td>317</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>9</th>\n",
- " <td>347</td>\n",
- " <td>310.0</td>\n",
- " <td>314.0</td>\n",
- " <td>352.0</td>\n",
- " <td>298.0</td>\n",
- " <td>401</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>10</th>\n",
- " <td>312</td>\n",
- " <td>342.0</td>\n",
- " <td>387.0</td>\n",
- " <td>357.0</td>\n",
- " <td>309.0</td>\n",
- " <td>346</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>11</th>\n",
- " <td>324</td>\n",
- " <td>343.0</td>\n",
- " <td>359.0</td>\n",
- " <td>251.0</td>\n",
- " <td>292.0</td>\n",
- " <td>323</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>12</th>\n",
- " <td>271</td>\n",
- " <td>294.0</td>\n",
- " <td>326.0</td>\n",
- " <td>356.0</td>\n",
- " <td>306.0</td>\n",
- " <td>310</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>13</th>\n",
- " <td>287</td>\n",
- " <td>307.0</td>\n",
- " <td>319.0</td>\n",
- " <td>314.0</td>\n",
- " <td>280.0</td>\n",
- " <td>323</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>14</th>\n",
- " <td>434</td>\n",
- " <td>287.0</td>\n",
- " <td>286.0</td>\n",
- " <td>306.0</td>\n",
- " <td>295.0</td>\n",
- " <td>221</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>15</th>\n",
- " <td>435</td>\n",
- " <td>301.0</td>\n",
- " <td>350.0</td>\n",
- " <td>270.0</td>\n",
- " <td>292.0</td>\n",
- " <td>294</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>16</th>\n",
- " <td>424</td>\n",
- " <td>316.0</td>\n",
- " <td>280.0</td>\n",
- " <td>245.0</td>\n",
- " <td>293.0</td>\n",
- " <td>327</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>17</th>\n",
- " <td>470</td>\n",
- " <td>272.0</td>\n",
- " <td>282.0</td>\n",
- " <td>327.0</td>\n",
- " <td>306.0</td>\n",
- " <td>316</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>18</th>\n",
- " <td>427</td>\n",
- " <td>357.0</td>\n",
- " <td>292.0</td>\n",
- " <td>258.0</td>\n",
- " <td>258.0</td>\n",
- " <td>335</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>19</th>\n",
- " <td>336</td>\n",
- " <td>288.0</td>\n",
- " <td>230.0</td>\n",
- " <td>302.0</td>\n",
- " <td>318.0</td>\n",
- " <td>256</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>20</th>\n",
- " <td>396</td>\n",
- " <td>330.0</td>\n",
- " <td>268.0</td>\n",
- " <td>315.0</td>\n",
- " <td>259.0</td>\n",
- " <td>299</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>21</th>\n",
- " <td>325</td>\n",
- " <td>308.0</td>\n",
- " <td>268.0</td>\n",
- " <td>328.0</td>\n",
- " <td>280.0</td>\n",
- " <td>290</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>22</th>\n",
- " <td>316</td>\n",
- " <td>245.0</td>\n",
- " <td>252.0</td>\n",
- " <td>256.0</td>\n",
- " <td>284.0</td>\n",
- " <td>258</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>23</th>\n",
- " <td>304</td>\n",
- " <td>279.0</td>\n",
- " <td>276.0</td>\n",
- " <td>292.0</td>\n",
- " <td>275.0</td>\n",
- " <td>340</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>24</th>\n",
- " <td>292</td>\n",
- " <td>281.0</td>\n",
- " <td>277.0</td>\n",
- " <td>300.0</td>\n",
- " <td>299.0</td>\n",
- " <td>272</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>25</th>\n",
- " <td>290</td>\n",
- " <td>296.0</td>\n",
- " <td>265.0</td>\n",
- " <td>271.0</td>\n",
- " <td>252.0</td>\n",
- " <td>292</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>26</th>\n",
- " <td>295</td>\n",
- " <td>262.0</td>\n",
- " <td>271.0</td>\n",
- " <td>296.0</td>\n",
- " <td>291.0</td>\n",
- " <td>303</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>27</th>\n",
- " <td>289</td>\n",
- " <td>285.0</td>\n",
- " <td>266.0</td>\n",
- " <td>262.0</td>\n",
- " <td>286.0</td>\n",
- " <td>300</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>28</th>\n",
- " <td>275</td>\n",
- " <td>256.0</td>\n",
- " <td>172.0</td>\n",
- " <td>253.0</td>\n",
- " <td>237.0</td>\n",
- " <td>252</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>29</th>\n",
- " <td>240</td>\n",
- " <td>280.0</td>\n",
- " <td>298.0</td>\n",
- " <td>288.0</td>\n",
- " <td>281.0</td>\n",
- " <td>203</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>30</th>\n",
- " <td>307</td>\n",
- " <td>269.0</td>\n",
- " <td>282.0</td>\n",
- " <td>287.0</td>\n",
- " <td>298.0</td>\n",
- " <td>274</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>31</th>\n",
- " <td>273</td>\n",
- " <td>273.0</td>\n",
- " <td>278.0</td>\n",
- " <td>287.0</td>\n",
- " <td>264.0</td>\n",
- " <td>291</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>32</th>\n",
- " <td>280</td>\n",
- " <td>266.0</td>\n",
- " <td>270.0</td>\n",
- " <td>238.0</td>\n",
- " <td>270.0</td>\n",
- " <td>248</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>33</th>\n",
- " <td>278</td>\n",
- " <td>284.0</td>\n",
- " <td>283.0</td>\n",
- " <td>266.0</td>\n",
- " <td>260.0</td>\n",
- " <td>235</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>34</th>\n",
- " <td>313</td>\n",
- " <td>274.0</td>\n",
- " <td>280.0</td>\n",
- " <td>271.0</td>\n",
- " <td>301.0</td>\n",
- " <td>251</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>35</th>\n",
- " <td>303</td>\n",
- " <td>223.0</td>\n",
- " <td>251.0</td>\n",
- " <td>243.0</td>\n",
- " <td>264.0</td>\n",
- " <td>259</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>36</th>\n",
- " <td>234</td>\n",
- " <td>243.0</td>\n",
- " <td>265.0</td>\n",
- " <td>278.0</td>\n",
- " <td>275.0</td>\n",
- " <td>237</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>37</th>\n",
- " <td>296</td>\n",
- " <td>305.0</td>\n",
- " <td>285.0</td>\n",
- " <td>266.0</td>\n",
- " <td>294.0</td>\n",
- " <td>324</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>38</th>\n",
- " <td>322</td>\n",
- " <td>281.0</td>\n",
- " <td>247.0</td>\n",
- " <td>292.0</td>\n",
- " <td>272.0</td>\n",
- " <td>283</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>39</th>\n",
- " <td>323</td>\n",
- " <td>295.0</td>\n",
- " <td>298.0</td>\n",
- " <td>282.0</td>\n",
- " <td>275.0</td>\n",
- " <td>287</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>40</th>\n",
- " <td>328</td>\n",
- " <td>263.0</td>\n",
- " <td>324.0</td>\n",
- " <td>307.0</td>\n",
- " <td>308.0</td>\n",
- " <td>282</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>41</th>\n",
- " <td>348</td>\n",
- " <td>287.0</td>\n",
- " <td>318.0</td>\n",
- " <td>284.0</td>\n",
- " <td>288.0</td>\n",
- " <td>304</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>42</th>\n",
- " <td>278</td>\n",
- " <td>316.0</td>\n",
- " <td>282.0</td>\n",
- " <td>291.0</td>\n",
- " <td>296.0</td>\n",
- " <td>299</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>43</th>\n",
- " <td>391</td>\n",
- " <td>279.0</td>\n",
- " <td>263.0</td>\n",
- " <td>318.0</td>\n",
- " <td>272.0</td>\n",
- " <td>274</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>44</th>\n",
- " <td>368</td>\n",
- " <td>302.0</td>\n",
- " <td>252.0</td>\n",
- " <td>320.0</td>\n",
- " <td>279.0</td>\n",
- " <td>292</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>45</th>\n",
- " <td>386</td>\n",
- " <td>296.0</td>\n",
- " <td>293.0</td>\n",
- " <td>295.0</td>\n",
- " <td>290.0</td>\n",
- " <td>290</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>46</th>\n",
- " <td>406</td>\n",
- " <td>336.0</td>\n",
- " <td>275.0</td>\n",
- " <td>323.0</td>\n",
- " <td>341.0</td>\n",
- " <td>297</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>47</th>\n",
- " <td>396</td>\n",
- " <td>361.0</td>\n",
- " <td>274.0</td>\n",
- " <td>303.0</td>\n",
- " <td>329.0</td>\n",
- " <td>294</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>48</th>\n",
- " <td>348</td>\n",
- " <td>334.0</td>\n",
- " <td>297.0</td>\n",
- " <td>355.0</td>\n",
- " <td>303.0</td>\n",
- " <td>279</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>49</th>\n",
- " <td>387</td>\n",
- " <td>351.0</td>\n",
- " <td>324.0</td>\n",
- " <td>324.0</td>\n",
- " <td>322.0</td>\n",
- " <td>294</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>50</th>\n",
- " <td>366</td>\n",
- " <td>353.0</td>\n",
- " <td>316.0</td>\n",
- " <td>372.0</td>\n",
- " <td>324.0</td>\n",
- " <td>343</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>51</th>\n",
- " <td>350</td>\n",
- " <td>363.0</td>\n",
- " <td>317.0</td>\n",
- " <td>354.0</td>\n",
- " <td>360.0</td>\n",
- " <td>301</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>52</th>\n",
- " <td>310</td>\n",
- " <td>194.0</td>\n",
- " <td>195.0</td>\n",
- " <td>249.0</td>\n",
- " <td>199.0</td>\n",
- " <td>232</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>53</th>\n",
- " <td>333</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>232</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " total_2020 total_2019 total_2018 total_2017 total_2016 total_2015\n",
- "1 353 365.0 447.0 416.0 424.0 319\n",
- "2 395 371.0 481.0 434.0 348.0 373\n",
- "3 411 332.0 470.0 397.0 372.0 383\n",
- "4 347 335.0 426.0 387.0 355.0 397\n",
- "5 323 296.0 433.0 371.0 314.0 374\n",
- "6 332 319.0 351.0 336.0 310.0 347\n",
- "7 306 342.0 364.0 337.0 217.0 328\n",
- "8 297 337.0 366.0 351.0 423.0 317\n",
- "9 347 310.0 314.0 352.0 298.0 401\n",
- "10 312 342.0 387.0 357.0 309.0 346\n",
- "11 324 343.0 359.0 251.0 292.0 323\n",
- "12 271 294.0 326.0 356.0 306.0 310\n",
- "13 287 307.0 319.0 314.0 280.0 323\n",
- "14 434 287.0 286.0 306.0 295.0 221\n",
- "15 435 301.0 350.0 270.0 292.0 294\n",
- "16 424 316.0 280.0 245.0 293.0 327\n",
- "17 470 272.0 282.0 327.0 306.0 316\n",
- "18 427 357.0 292.0 258.0 258.0 335\n",
- "19 336 288.0 230.0 302.0 318.0 256\n",
- "20 396 330.0 268.0 315.0 259.0 299\n",
- "21 325 308.0 268.0 328.0 280.0 290\n",
- "22 316 245.0 252.0 256.0 284.0 258\n",
- "23 304 279.0 276.0 292.0 275.0 340\n",
- "24 292 281.0 277.0 300.0 299.0 272\n",
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- "32 280 266.0 270.0 238.0 270.0 248\n",
- "33 278 284.0 283.0 266.0 260.0 235\n",
- "34 313 274.0 280.0 271.0 301.0 251\n",
- "35 303 223.0 251.0 243.0 264.0 259\n",
- "36 234 243.0 265.0 278.0 275.0 237\n",
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- "38 322 281.0 247.0 292.0 272.0 283\n",
- "39 323 295.0 298.0 282.0 275.0 287\n",
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- "41 348 287.0 318.0 284.0 288.0 304\n",
- "42 278 316.0 282.0 291.0 296.0 299\n",
- "43 391 279.0 263.0 318.0 272.0 274\n",
- "44 368 302.0 252.0 320.0 279.0 292\n",
- "45 386 296.0 293.0 295.0 290.0 290\n",
- "46 406 336.0 275.0 323.0 341.0 297\n",
- "47 396 361.0 274.0 303.0 329.0 294\n",
- "48 348 334.0 297.0 355.0 303.0 279\n",
- "49 387 351.0 324.0 324.0 322.0 294\n",
- "50 366 353.0 316.0 372.0 324.0 343\n",
- "51 350 363.0 317.0 354.0 360.0 301\n",
- "52 310 194.0 195.0 249.0 199.0 232\n",
- "53 333 NaN NaN NaN NaN 232"
- ]
- },
- "execution_count": 38,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "deaths_headlines_i = deaths_headlines_i.merge(dh19i['total_2019'], how='outer', left_index=True, right_index=True)\n",
- "deaths_headlines_i = deaths_headlines_i.merge(dh18i['total_2018'], how='outer', left_index=True, right_index=True)\n",
- "deaths_headlines_i = deaths_headlines_i.merge(dh17i['total_2017'], how='outer', left_index=True, right_index=True)\n",
- "deaths_headlines_i = deaths_headlines_i.merge(dh16i['total_2016'], how='outer', left_index=True, right_index=True)\n",
- "deaths_headlines_i = deaths_headlines_i.merge(dh15i['total_2015'], how='left', left_index=True, right_index=True)\n",
- "deaths_headlines_i"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 39,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
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- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>total_2020</th>\n",
- " <th>total_2019</th>\n",
- " <th>total_2018</th>\n",
- " <th>total_2017</th>\n",
- " <th>total_2016</th>\n",
- " <th>total_2015</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>1161</td>\n",
- " <td>1104.0</td>\n",
- " <td>1531.0</td>\n",
- " <td>1205.0</td>\n",
- " <td>1394.0</td>\n",
- " <td>1146</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>1567</td>\n",
- " <td>1507.0</td>\n",
- " <td>1899.0</td>\n",
- " <td>1379.0</td>\n",
- " <td>1305.0</td>\n",
- " <td>1708</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>1322</td>\n",
- " <td>1353.0</td>\n",
- " <td>1629.0</td>\n",
- " <td>1224.0</td>\n",
- " <td>1215.0</td>\n",
- " <td>1489</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>1226</td>\n",
- " <td>1208.0</td>\n",
- " <td>1610.0</td>\n",
- " <td>1197.0</td>\n",
- " <td>1187.0</td>\n",
- " <td>1381</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>5</th>\n",
- " <td>1188</td>\n",
- " <td>1206.0</td>\n",
- " <td>1369.0</td>\n",
- " <td>1332.0</td>\n",
- " <td>1205.0</td>\n",
- " <td>1286</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>6</th>\n",
- " <td>1216</td>\n",
- " <td>1243.0</td>\n",
- " <td>1265.0</td>\n",
- " <td>1200.0</td>\n",
- " <td>1217.0</td>\n",
- " <td>1344</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>7</th>\n",
- " <td>1162</td>\n",
- " <td>1181.0</td>\n",
- " <td>1315.0</td>\n",
- " <td>1231.0</td>\n",
- " <td>1209.0</td>\n",
- " <td>1360</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>8</th>\n",
- " <td>1162</td>\n",
- " <td>1245.0</td>\n",
- " <td>1245.0</td>\n",
- " <td>1185.0</td>\n",
- " <td>1239.0</td>\n",
- " <td>1320</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>9</th>\n",
- " <td>1171</td>\n",
- " <td>1125.0</td>\n",
- " <td>1022.0</td>\n",
- " <td>1219.0</td>\n",
- " <td>1150.0</td>\n",
- " <td>1308</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>10</th>\n",
- " <td>1208</td>\n",
- " <td>1156.0</td>\n",
- " <td>1475.0</td>\n",
- " <td>1146.0</td>\n",
- " <td>1174.0</td>\n",
- " <td>1192</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>11</th>\n",
- " <td>1156</td>\n",
- " <td>1108.0</td>\n",
- " <td>1220.0</td>\n",
- " <td>1141.0</td>\n",
- " <td>1175.0</td>\n",
- " <td>1201</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>12</th>\n",
- " <td>1196</td>\n",
- " <td>1101.0</td>\n",
- " <td>1158.0</td>\n",
- " <td>1152.0</td>\n",
- " <td>1042.0</td>\n",
- " <td>1149</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>13</th>\n",
- " <td>1079</td>\n",
- " <td>1086.0</td>\n",
- " <td>1050.0</td>\n",
- " <td>1112.0</td>\n",
- " <td>1172.0</td>\n",
- " <td>1171</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>14</th>\n",
- " <td>1744</td>\n",
- " <td>1032.0</td>\n",
- " <td>1192.0</td>\n",
- " <td>1060.0</td>\n",
- " <td>1166.0</td>\n",
- " <td>1042</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>15</th>\n",
- " <td>1978</td>\n",
- " <td>1069.0</td>\n",
- " <td>1192.0</td>\n",
- " <td>998.0</td>\n",
- " <td>1048.0</td>\n",
- " <td>1192</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>16</th>\n",
- " <td>1916</td>\n",
- " <td>902.0</td>\n",
- " <td>1136.0</td>\n",
- " <td>1111.0</td>\n",
- " <td>1092.0</td>\n",
- " <td>1095</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>17</th>\n",
- " <td>1836</td>\n",
- " <td>1121.0</td>\n",
- " <td>1008.0</td>\n",
- " <td>1121.0</td>\n",
- " <td>1076.0</td>\n",
- " <td>1108</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>18</th>\n",
- " <td>1679</td>\n",
- " <td>1131.0</td>\n",
- " <td>1093.0</td>\n",
- " <td>1050.0</td>\n",
- " <td>1006.0</td>\n",
- " <td>1117</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>19</th>\n",
- " <td>1435</td>\n",
- " <td>1018.0</td>\n",
- " <td>967.0</td>\n",
- " <td>1119.0</td>\n",
- " <td>1047.0</td>\n",
- " <td>1020</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>20</th>\n",
- " <td>1421</td>\n",
- " <td>1115.0</td>\n",
- " <td>977.0</td>\n",
- " <td>1115.0</td>\n",
- " <td>1010.0</td>\n",
- " <td>1103</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>21</th>\n",
- " <td>1226</td>\n",
- " <td>1061.0</td>\n",
- " <td>1070.0</td>\n",
- " <td>1063.0</td>\n",
- " <td>994.0</td>\n",
- " <td>1039</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>22</th>\n",
- " <td>1125</td>\n",
- " <td>1029.0</td>\n",
- " <td>998.0</td>\n",
- " <td>1015.0</td>\n",
- " <td>999.0</td>\n",
- " <td>1043</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>23</th>\n",
- " <td>1093</td>\n",
- " <td>1042.0</td>\n",
- " <td>1033.0</td>\n",
- " <td>1076.0</td>\n",
- " <td>1023.0</td>\n",
- " <td>1106</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>24</th>\n",
- " <td>1034</td>\n",
- " <td>1028.0</td>\n",
- " <td>915.0</td>\n",
- " <td>1031.0</td>\n",
- " <td>988.0</td>\n",
- " <td>1038</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>25</th>\n",
- " <td>1065</td>\n",
- " <td>1053.0</td>\n",
- " <td>993.0</td>\n",
- " <td>1032.0</td>\n",
- " <td>994.0</td>\n",
- " <td>1025</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>26</th>\n",
- " <td>1008</td>\n",
- " <td>1051.0</td>\n",
- " <td>1046.0</td>\n",
- " <td>994.0</td>\n",
- " <td>1007.0</td>\n",
- " <td>1032</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>27</th>\n",
- " <td>983</td>\n",
- " <td>981.0</td>\n",
- " <td>1041.0</td>\n",
- " <td>1040.0</td>\n",
- " <td>988.0</td>\n",
- " <td>1040</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>28</th>\n",
- " <td>976</td>\n",
- " <td>1077.0</td>\n",
- " <td>1002.0</td>\n",
- " <td>1014.0</td>\n",
- " <td>1022.0</td>\n",
- " <td>1011</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>29</th>\n",
- " <td>1033</td>\n",
- " <td>964.0</td>\n",
- " <td>928.0</td>\n",
- " <td>1025.0</td>\n",
- " <td>1041.0</td>\n",
- " <td>1023</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>30</th>\n",
- " <td>961</td>\n",
- " <td>1041.0</td>\n",
- " <td>933.0</td>\n",
- " <td>978.0</td>\n",
- " <td>979.0</td>\n",
- " <td>956</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>31</th>\n",
- " <td>1043</td>\n",
- " <td>1020.0</td>\n",
- " <td>969.0</td>\n",
- " <td>1011.0</td>\n",
- " <td>987.0</td>\n",
- " <td>985</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>32</th>\n",
- " <td>1011</td>\n",
- " <td>1018.0</td>\n",
- " <td>953.0</td>\n",
- " <td>1002.0</td>\n",
- " <td>997.0</td>\n",
- " <td>1043</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>33</th>\n",
- " <td>922</td>\n",
- " <td>1028.0</td>\n",
- " <td>978.0</td>\n",
- " <td>1004.0</td>\n",
- " <td>982.0</td>\n",
- " <td>969</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>34</th>\n",
- " <td>1046</td>\n",
- " <td>1011.0</td>\n",
- " <td>941.0</td>\n",
- " <td>1045.0</td>\n",
- " <td>1017.0</td>\n",
- " <td>982</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>35</th>\n",
- " <td>1029</td>\n",
- " <td>1013.0</td>\n",
- " <td>930.0</td>\n",
- " <td>980.0</td>\n",
- " <td>1039.0</td>\n",
- " <td>954</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>36</th>\n",
- " <td>1050</td>\n",
- " <td>980.0</td>\n",
- " <td>970.0</td>\n",
- " <td>1006.0</td>\n",
- " <td>1007.0</td>\n",
- " <td>977</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>37</th>\n",
- " <td>1069</td>\n",
- " <td>1074.0</td>\n",
- " <td>1020.0</td>\n",
- " <td>972.0</td>\n",
- " <td>983.0</td>\n",
- " <td>991</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>38</th>\n",
- " <td>952</td>\n",
- " <td>1071.0</td>\n",
- " <td>946.0</td>\n",
- " <td>1049.0</td>\n",
- " <td>966.0</td>\n",
- " <td>1001</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>39</th>\n",
- " <td>933</td>\n",
- " <td>1142.0</td>\n",
- " <td>1015.0</td>\n",
- " <td>1056.0</td>\n",
- " <td>1009.0</td>\n",
- " <td>1010</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>40</th>\n",
- " <td>1195</td>\n",
- " <td>1051.0</td>\n",
- " <td>1042.0</td>\n",
- " <td>1016.0</td>\n",
- " <td>1072.0</td>\n",
- " <td>1008</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>41</th>\n",
- " <td>1071</td>\n",
- " <td>1143.0</td>\n",
- " <td>1081.0</td>\n",
- " <td>1133.0</td>\n",
- " <td>1009.0</td>\n",
- " <td>1028</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>42</th>\n",
- " <td>1131</td>\n",
- " <td>1153.0</td>\n",
- " <td>1031.0</td>\n",
- " <td>1067.0</td>\n",
- " <td>1070.0</td>\n",
- " <td>989</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>43</th>\n",
- " <td>1187</td>\n",
- " <td>1115.0</td>\n",
- " <td>1019.0</td>\n",
- " <td>1095.0</td>\n",
- " <td>1052.0</td>\n",
- " <td>981</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>44</th>\n",
- " <td>1262</td>\n",
- " <td>1101.0</td>\n",
- " <td>1085.0</td>\n",
- " <td>1062.0</td>\n",
- " <td>1032.0</td>\n",
- " <td>1116</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>45</th>\n",
- " <td>1250</td>\n",
- " <td>1184.0</td>\n",
- " <td>1144.0</td>\n",
- " <td>1126.0</td>\n",
- " <td>1043.0</td>\n",
- " <td>1028</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>46</th>\n",
- " <td>1138</td>\n",
- " <td>1160.0</td>\n",
- " <td>1084.0</td>\n",
- " <td>1175.0</td>\n",
- " <td>1174.0</td>\n",
- " <td>1103</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>47</th>\n",
- " <td>1360</td>\n",
- " <td>1229.0</td>\n",
- " <td>1058.0</td>\n",
- " <td>1178.0</td>\n",
- " <td>1132.0</td>\n",
- " <td>1054</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>48</th>\n",
- " <td>1328</td>\n",
- " <td>1163.0</td>\n",
- " <td>1062.0</td>\n",
- " <td>1153.0</td>\n",
- " <td>1159.0</td>\n",
- " <td>1115</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>49</th>\n",
- " <td>1296</td>\n",
- " <td>1108.0</td>\n",
- " <td>1076.0</td>\n",
- " <td>1237.0</td>\n",
- " <td>1188.0</td>\n",
- " <td>1089</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>50</th>\n",
- " <td>1284</td>\n",
- " <td>1312.0</td>\n",
- " <td>1212.0</td>\n",
- " <td>1335.0</td>\n",
- " <td>1219.0</td>\n",
- " <td>1101</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>51</th>\n",
- " <td>1297</td>\n",
- " <td>1277.0</td>\n",
- " <td>1216.0</td>\n",
- " <td>1437.0</td>\n",
- " <td>1284.0</td>\n",
- " <td>1146</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>52</th>\n",
- " <td>1205</td>\n",
- " <td>1000.0</td>\n",
- " <td>1058.0</td>\n",
- " <td>1168.0</td>\n",
- " <td>1133.0</td>\n",
- " <td>944</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " total_2020 total_2019 total_2018 total_2017 total_2016 total_2015\n",
- "1 1161 1104.0 1531.0 1205.0 1394.0 1146\n",
- "2 1567 1507.0 1899.0 1379.0 1305.0 1708\n",
- "3 1322 1353.0 1629.0 1224.0 1215.0 1489\n",
- "4 1226 1208.0 1610.0 1197.0 1187.0 1381\n",
- "5 1188 1206.0 1369.0 1332.0 1205.0 1286\n",
- "6 1216 1243.0 1265.0 1200.0 1217.0 1344\n",
- "7 1162 1181.0 1315.0 1231.0 1209.0 1360\n",
- "8 1162 1245.0 1245.0 1185.0 1239.0 1320\n",
- "9 1171 1125.0 1022.0 1219.0 1150.0 1308\n",
- "10 1208 1156.0 1475.0 1146.0 1174.0 1192\n",
- "11 1156 1108.0 1220.0 1141.0 1175.0 1201\n",
- "12 1196 1101.0 1158.0 1152.0 1042.0 1149\n",
- "13 1079 1086.0 1050.0 1112.0 1172.0 1171\n",
- "14 1744 1032.0 1192.0 1060.0 1166.0 1042\n",
- "15 1978 1069.0 1192.0 998.0 1048.0 1192\n",
- "16 1916 902.0 1136.0 1111.0 1092.0 1095\n",
- "17 1836 1121.0 1008.0 1121.0 1076.0 1108\n",
- "18 1679 1131.0 1093.0 1050.0 1006.0 1117\n",
- "19 1435 1018.0 967.0 1119.0 1047.0 1020\n",
- "20 1421 1115.0 977.0 1115.0 1010.0 1103\n",
- "21 1226 1061.0 1070.0 1063.0 994.0 1039\n",
- "22 1125 1029.0 998.0 1015.0 999.0 1043\n",
- "23 1093 1042.0 1033.0 1076.0 1023.0 1106\n",
- "24 1034 1028.0 915.0 1031.0 988.0 1038\n",
- "25 1065 1053.0 993.0 1032.0 994.0 1025\n",
- "26 1008 1051.0 1046.0 994.0 1007.0 1032\n",
- "27 983 981.0 1041.0 1040.0 988.0 1040\n",
- "28 976 1077.0 1002.0 1014.0 1022.0 1011\n",
- "29 1033 964.0 928.0 1025.0 1041.0 1023\n",
- "30 961 1041.0 933.0 978.0 979.0 956\n",
- "31 1043 1020.0 969.0 1011.0 987.0 985\n",
- "32 1011 1018.0 953.0 1002.0 997.0 1043\n",
- "33 922 1028.0 978.0 1004.0 982.0 969\n",
- "34 1046 1011.0 941.0 1045.0 1017.0 982\n",
- "35 1029 1013.0 930.0 980.0 1039.0 954\n",
- "36 1050 980.0 970.0 1006.0 1007.0 977\n",
- "37 1069 1074.0 1020.0 972.0 983.0 991\n",
- "38 952 1071.0 946.0 1049.0 966.0 1001\n",
- "39 933 1142.0 1015.0 1056.0 1009.0 1010\n",
- "40 1195 1051.0 1042.0 1016.0 1072.0 1008\n",
- "41 1071 1143.0 1081.0 1133.0 1009.0 1028\n",
- "42 1131 1153.0 1031.0 1067.0 1070.0 989\n",
- "43 1187 1115.0 1019.0 1095.0 1052.0 981\n",
- "44 1262 1101.0 1085.0 1062.0 1032.0 1116\n",
- "45 1250 1184.0 1144.0 1126.0 1043.0 1028\n",
- "46 1138 1160.0 1084.0 1175.0 1174.0 1103\n",
- "47 1360 1229.0 1058.0 1178.0 1132.0 1054\n",
- "48 1328 1163.0 1062.0 1153.0 1159.0 1115\n",
- "49 1296 1108.0 1076.0 1237.0 1188.0 1089\n",
- "50 1284 1312.0 1212.0 1335.0 1219.0 1101\n",
- "51 1297 1277.0 1216.0 1437.0 1284.0 1146\n",
- "52 1205 1000.0 1058.0 1168.0 1133.0 944"
- ]
- },
- "execution_count": 39,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "deaths_headlines_s"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 40,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/html": [
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- " <th></th>\n",
- " <th>total_2020</th>\n",
- " <th>total_2019</th>\n",
- " <th>total_2018</th>\n",
- " <th>total_2017</th>\n",
- " <th>total_2016</th>\n",
- " <th>total_2015</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>13768.0</td>\n",
- " <td>12424.0</td>\n",
- " <td>14701.0</td>\n",
- " <td>13612.0</td>\n",
- " <td>14863.0</td>\n",
- " <td>13751.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>16020.0</td>\n",
- " <td>14487.0</td>\n",
- " <td>17430.0</td>\n",
- " <td>15528.0</td>\n",
- " <td>13154.0</td>\n",
- " <td>18318.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>14723.0</td>\n",
- " <td>13545.0</td>\n",
- " <td>16355.0</td>\n",
- " <td>15231.0</td>\n",
- " <td>13060.0</td>\n",
- " <td>16738.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>13429.0</td>\n",
- " <td>13283.0</td>\n",
- " <td>15971.0</td>\n",
- " <td>14461.0</td>\n",
- " <td>12859.0</td>\n",
- " <td>15712.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>5</th>\n",
- " <td>13123.0</td>\n",
- " <td>12799.0</td>\n",
- " <td>15087.0</td>\n",
- " <td>14188.0</td>\n",
- " <td>12571.0</td>\n",
- " <td>14560.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>6</th>\n",
- " <td>12534.0</td>\n",
- " <td>13222.0</td>\n",
- " <td>14111.0</td>\n",
- " <td>13805.0</td>\n",
- " <td>12697.0</td>\n",
- " <td>13730.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>7</th>\n",
- " <td>12412.0</td>\n",
- " <td>13347.0</td>\n",
- " <td>13925.0</td>\n",
- " <td>13212.0</td>\n",
- " <td>12016.0</td>\n",
- " <td>13510.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>8</th>\n",
- " <td>12300.0</td>\n",
- " <td>12877.0</td>\n",
- " <td>13753.0</td>\n",
- " <td>13330.0</td>\n",
- " <td>12718.0</td>\n",
- " <td>13071.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>9</th>\n",
- " <td>12334.0</td>\n",
- " <td>12479.0</td>\n",
- " <td>12190.0</td>\n",
- " <td>12819.0</td>\n",
- " <td>12733.0</td>\n",
- " <td>13181.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>10</th>\n",
- " <td>12415.0</td>\n",
- " <td>12396.0</td>\n",
- " <td>14859.0</td>\n",
- " <td>12580.0</td>\n",
- " <td>12493.0</td>\n",
- " <td>13007.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>11</th>\n",
- " <td>12499.0</td>\n",
- " <td>12018.0</td>\n",
- " <td>14367.0</td>\n",
- " <td>12089.0</td>\n",
- " <td>12489.0</td>\n",
- " <td>12475.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>12</th>\n",
- " <td>12112.0</td>\n",
- " <td>11797.0</td>\n",
- " <td>13397.0</td>\n",
- " <td>11833.0</td>\n",
- " <td>10983.0</td>\n",
- " <td>12027.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>13</th>\n",
- " <td>12507.0</td>\n",
- " <td>11260.0</td>\n",
- " <td>11310.0</td>\n",
- " <td>11453.0</td>\n",
- " <td>11738.0</td>\n",
- " <td>11987.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>14</th>\n",
- " <td>18565.0</td>\n",
- " <td>11445.0</td>\n",
- " <td>12272.0</td>\n",
- " <td>11305.0</td>\n",
- " <td>13060.0</td>\n",
- " <td>10325.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>15</th>\n",
- " <td>20929.0</td>\n",
- " <td>11661.0</td>\n",
- " <td>13843.0</td>\n",
- " <td>9761.0</td>\n",
- " <td>12757.0</td>\n",
- " <td>11575.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>16</th>\n",
- " <td>24691.0</td>\n",
- " <td>10243.0</td>\n",
- " <td>12639.0</td>\n",
- " <td>11000.0</td>\n",
- " <td>12310.0</td>\n",
- " <td>13061.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>17</th>\n",
- " <td>24303.0</td>\n",
- " <td>11452.0</td>\n",
- " <td>11596.0</td>\n",
- " <td>12356.0</td>\n",
- " <td>11795.0</td>\n",
- " <td>12023.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>18</th>\n",
- " <td>20059.0</td>\n",
- " <td>12695.0</td>\n",
- " <td>11538.0</td>\n",
- " <td>10372.0</td>\n",
- " <td>10401.0</td>\n",
- " <td>11586.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>19</th>\n",
- " <td>14428.0</td>\n",
- " <td>10361.0</td>\n",
- " <td>9821.0</td>\n",
- " <td>12114.0</td>\n",
- " <td>12002.0</td>\n",
- " <td>10138.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>20</th>\n",
- " <td>16390.0</td>\n",
- " <td>11717.0</td>\n",
- " <td>11386.0</td>\n",
- " <td>11718.0</td>\n",
- " <td>11222.0</td>\n",
- " <td>11692.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>21</th>\n",
- " <td>13839.0</td>\n",
- " <td>11653.0</td>\n",
- " <td>10974.0</td>\n",
- " <td>11431.0</td>\n",
- " <td>11013.0</td>\n",
- " <td>11334.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>22</th>\n",
- " <td>11265.0</td>\n",
- " <td>9534.0</td>\n",
- " <td>9397.0</td>\n",
- " <td>9603.0</td>\n",
- " <td>9192.0</td>\n",
- " <td>9514.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>23</th>\n",
- " <td>12106.0</td>\n",
- " <td>11461.0</td>\n",
- " <td>11259.0</td>\n",
- " <td>11134.0</td>\n",
- " <td>11171.0</td>\n",
- " <td>11603.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>24</th>\n",
- " <td>11302.0</td>\n",
- " <td>10754.0</td>\n",
- " <td>10535.0</td>\n",
- " <td>10698.0</td>\n",
- " <td>10673.0</td>\n",
- " <td>10858.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>25</th>\n",
- " <td>10694.0</td>\n",
- " <td>10807.0</td>\n",
- " <td>10514.0</td>\n",
- " <td>10930.0</td>\n",
- " <td>10611.0</td>\n",
- " <td>10629.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>26</th>\n",
- " <td>10282.0</td>\n",
- " <td>10824.0</td>\n",
- " <td>10529.0</td>\n",
- " <td>10624.0</td>\n",
- " <td>10526.0</td>\n",
- " <td>10525.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>27</th>\n",
- " <td>10412.0</td>\n",
- " <td>10328.0</td>\n",
- " <td>10565.0</td>\n",
- " <td>10565.0</td>\n",
- " <td>10412.0</td>\n",
- " <td>10545.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>28</th>\n",
- " <td>9941.0</td>\n",
- " <td>10512.0</td>\n",
- " <td>10467.0</td>\n",
- " <td>10643.0</td>\n",
- " <td>10647.0</td>\n",
- " <td>10278.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>29</th>\n",
- " <td>10096.0</td>\n",
- " <td>10324.0</td>\n",
- " <td>10353.0</td>\n",
- " <td>10426.0</td>\n",
- " <td>10672.0</td>\n",
- " <td>10028.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>30</th>\n",
- " <td>10159.0</td>\n",
- " <td>10422.0</td>\n",
- " <td>10356.0</td>\n",
- " <td>10147.0</td>\n",
- " <td>10612.0</td>\n",
- " <td>10021.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>31</th>\n",
- " <td>10262.0</td>\n",
- " <td>10564.0</td>\n",
- " <td>10408.0</td>\n",
- " <td>10239.0</td>\n",
- " <td>10433.0</td>\n",
- " <td>9893.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>32</th>\n",
- " <td>10236.0</td>\n",
- " <td>10406.0</td>\n",
- " <td>10542.0</td>\n",
- " <td>10278.0</td>\n",
- " <td>10439.0</td>\n",
- " <td>10153.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>33</th>\n",
- " <td>10592.0</td>\n",
- " <td>10405.0</td>\n",
- " <td>10091.0</td>\n",
- " <td>10569.0</td>\n",
- " <td>10312.0</td>\n",
- " <td>10352.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>34</th>\n",
- " <td>10990.0</td>\n",
- " <td>10279.0</td>\n",
- " <td>10199.0</td>\n",
- " <td>10698.0</td>\n",
- " <td>10637.0</td>\n",
- " <td>10354.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>35</th>\n",
- " <td>10364.0</td>\n",
- " <td>9478.0</td>\n",
- " <td>9046.0</td>\n",
- " <td>9372.0</td>\n",
- " <td>9226.0</td>\n",
- " <td>10239.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>36</th>\n",
- " <td>9023.0</td>\n",
- " <td>10918.0</td>\n",
- " <td>10680.0</td>\n",
- " <td>10781.0</td>\n",
- " <td>10681.0</td>\n",
- " <td>9092.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>37</th>\n",
- " <td>11176.0</td>\n",
- " <td>10892.0</td>\n",
- " <td>10496.0</td>\n",
- " <td>10692.0</td>\n",
- " <td>10401.0</td>\n",
- " <td>10573.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>38</th>\n",
- " <td>10797.0</td>\n",
- " <td>10792.0</td>\n",
- " <td>10498.0</td>\n",
- " <td>10875.0</td>\n",
- " <td>10183.0</td>\n",
- " <td>10381.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>39</th>\n",
- " <td>10890.0</td>\n",
- " <td>10954.0</td>\n",
- " <td>10463.0</td>\n",
- " <td>11027.0</td>\n",
- " <td>10278.0</td>\n",
- " <td>10826.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>40</th>\n",
- " <td>11468.0</td>\n",
- " <td>11113.0</td>\n",
- " <td>10869.0</td>\n",
- " <td>11101.0</td>\n",
- " <td>10671.0</td>\n",
- " <td>10700.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>41</th>\n",
- " <td>11373.0</td>\n",
- " <td>11403.0</td>\n",
- " <td>11048.0</td>\n",
- " <td>11357.0</td>\n",
- " <td>11016.0</td>\n",
- " <td>11108.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>42</th>\n",
- " <td>11943.0</td>\n",
- " <td>11625.0</td>\n",
- " <td>11177.0</td>\n",
- " <td>11389.0</td>\n",
- " <td>11134.0</td>\n",
- " <td>10799.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>43</th>\n",
- " <td>12317.0</td>\n",
- " <td>11415.0</td>\n",
- " <td>10885.0</td>\n",
- " <td>11152.0</td>\n",
- " <td>11048.0</td>\n",
- " <td>10966.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>44</th>\n",
- " <td>12517.0</td>\n",
- " <td>11567.0</td>\n",
- " <td>10866.0</td>\n",
- " <td>11366.0</td>\n",
- " <td>11463.0</td>\n",
- " <td>11026.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>45</th>\n",
- " <td>13448.0</td>\n",
- " <td>12177.0</td>\n",
- " <td>11588.0</td>\n",
- " <td>11767.0</td>\n",
- " <td>11803.0</td>\n",
- " <td>11312.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>46</th>\n",
- " <td>13798.0</td>\n",
- " <td>12146.0</td>\n",
- " <td>11552.0</td>\n",
- " <td>11773.0</td>\n",
- " <td>12209.0</td>\n",
- " <td>11338.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>47</th>\n",
- " <td>14291.0</td>\n",
- " <td>12472.0</td>\n",
- " <td>11289.0</td>\n",
- " <td>12102.0</td>\n",
- " <td>12064.0</td>\n",
- " <td>11178.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>48</th>\n",
- " <td>14132.0</td>\n",
- " <td>12455.0</td>\n",
- " <td>11392.0</td>\n",
- " <td>12046.0</td>\n",
- " <td>11901.0</td>\n",
- " <td>11216.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>49</th>\n",
- " <td>13986.0</td>\n",
- " <td>12275.0</td>\n",
- " <td>11687.0</td>\n",
- " <td>12342.0</td>\n",
- " <td>12733.0</td>\n",
- " <td>11748.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>50</th>\n",
- " <td>13942.0</td>\n",
- " <td>12853.0</td>\n",
- " <td>12078.0</td>\n",
- " <td>12924.0</td>\n",
- " <td>12076.0</td>\n",
- " <td>11713.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>51</th>\n",
- " <td>14658.0</td>\n",
- " <td>13566.0</td>\n",
- " <td>12649.0</td>\n",
- " <td>14308.0</td>\n",
- " <td>13137.0</td>\n",
- " <td>12136.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>52</th>\n",
- " <td>13035.0</td>\n",
- " <td>8727.0</td>\n",
- " <td>8384.0</td>\n",
- " <td>9904.0</td>\n",
- " <td>9335.0</td>\n",
- " <td>9806.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>53</th>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " total_2020 total_2019 total_2018 total_2017 total_2016 total_2015\n",
- "1 13768.0 12424.0 14701.0 13612.0 14863.0 13751.0\n",
- "2 16020.0 14487.0 17430.0 15528.0 13154.0 18318.0\n",
- "3 14723.0 13545.0 16355.0 15231.0 13060.0 16738.0\n",
- "4 13429.0 13283.0 15971.0 14461.0 12859.0 15712.0\n",
- "5 13123.0 12799.0 15087.0 14188.0 12571.0 14560.0\n",
- "6 12534.0 13222.0 14111.0 13805.0 12697.0 13730.0\n",
- "7 12412.0 13347.0 13925.0 13212.0 12016.0 13510.0\n",
- "8 12300.0 12877.0 13753.0 13330.0 12718.0 13071.0\n",
- "9 12334.0 12479.0 12190.0 12819.0 12733.0 13181.0\n",
- "10 12415.0 12396.0 14859.0 12580.0 12493.0 13007.0\n",
- "11 12499.0 12018.0 14367.0 12089.0 12489.0 12475.0\n",
- "12 12112.0 11797.0 13397.0 11833.0 10983.0 12027.0\n",
- "13 12507.0 11260.0 11310.0 11453.0 11738.0 11987.0\n",
- "14 18565.0 11445.0 12272.0 11305.0 13060.0 10325.0\n",
- "15 20929.0 11661.0 13843.0 9761.0 12757.0 11575.0\n",
- "16 24691.0 10243.0 12639.0 11000.0 12310.0 13061.0\n",
- "17 24303.0 11452.0 11596.0 12356.0 11795.0 12023.0\n",
- "18 20059.0 12695.0 11538.0 10372.0 10401.0 11586.0\n",
- "19 14428.0 10361.0 9821.0 12114.0 12002.0 10138.0\n",
- "20 16390.0 11717.0 11386.0 11718.0 11222.0 11692.0\n",
- "21 13839.0 11653.0 10974.0 11431.0 11013.0 11334.0\n",
- "22 11265.0 9534.0 9397.0 9603.0 9192.0 9514.0\n",
- "23 12106.0 11461.0 11259.0 11134.0 11171.0 11603.0\n",
- "24 11302.0 10754.0 10535.0 10698.0 10673.0 10858.0\n",
- "25 10694.0 10807.0 10514.0 10930.0 10611.0 10629.0\n",
- "26 10282.0 10824.0 10529.0 10624.0 10526.0 10525.0\n",
- "27 10412.0 10328.0 10565.0 10565.0 10412.0 10545.0\n",
- "28 9941.0 10512.0 10467.0 10643.0 10647.0 10278.0\n",
- "29 10096.0 10324.0 10353.0 10426.0 10672.0 10028.0\n",
- "30 10159.0 10422.0 10356.0 10147.0 10612.0 10021.0\n",
- "31 10262.0 10564.0 10408.0 10239.0 10433.0 9893.0\n",
- "32 10236.0 10406.0 10542.0 10278.0 10439.0 10153.0\n",
- "33 10592.0 10405.0 10091.0 10569.0 10312.0 10352.0\n",
- "34 10990.0 10279.0 10199.0 10698.0 10637.0 10354.0\n",
- "35 10364.0 9478.0 9046.0 9372.0 9226.0 10239.0\n",
- "36 9023.0 10918.0 10680.0 10781.0 10681.0 9092.0\n",
- "37 11176.0 10892.0 10496.0 10692.0 10401.0 10573.0\n",
- "38 10797.0 10792.0 10498.0 10875.0 10183.0 10381.0\n",
- "39 10890.0 10954.0 10463.0 11027.0 10278.0 10826.0\n",
- "40 11468.0 11113.0 10869.0 11101.0 10671.0 10700.0\n",
- "41 11373.0 11403.0 11048.0 11357.0 11016.0 11108.0\n",
- "42 11943.0 11625.0 11177.0 11389.0 11134.0 10799.0\n",
- "43 12317.0 11415.0 10885.0 11152.0 11048.0 10966.0\n",
- "44 12517.0 11567.0 10866.0 11366.0 11463.0 11026.0\n",
- "45 13448.0 12177.0 11588.0 11767.0 11803.0 11312.0\n",
- "46 13798.0 12146.0 11552.0 11773.0 12209.0 11338.0\n",
- "47 14291.0 12472.0 11289.0 12102.0 12064.0 11178.0\n",
- "48 14132.0 12455.0 11392.0 12046.0 11901.0 11216.0\n",
- "49 13986.0 12275.0 11687.0 12342.0 12733.0 11748.0\n",
- "50 13942.0 12853.0 12078.0 12924.0 12076.0 11713.0\n",
- "51 14658.0 13566.0 12649.0 14308.0 13137.0 12136.0\n",
- "52 13035.0 8727.0 8384.0 9904.0 9335.0 9806.0\n",
- "53 NaN NaN NaN NaN NaN NaN"
- ]
- },
- "execution_count": 40,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "deaths_headlines = deaths_headlines_e + deaths_headlines_w + deaths_headlines_i + deaths_headlines_s\n",
- "deaths_headlines"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 41,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/html": [
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- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>total_2020</th>\n",
- " <th>total_2019</th>\n",
- " <th>total_2018</th>\n",
- " <th>total_2017</th>\n",
- " <th>total_2016</th>\n",
- " <th>total_2015</th>\n",
- " <th>previous_mean</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>13768.0</td>\n",
- " <td>12424.0</td>\n",
- " <td>14701.0</td>\n",
- " <td>13612.0</td>\n",
- " <td>14863.0</td>\n",
- " <td>13751.0</td>\n",
- " <td>13870.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>16020.0</td>\n",
- " <td>14487.0</td>\n",
- " <td>17430.0</td>\n",
- " <td>15528.0</td>\n",
- " <td>13154.0</td>\n",
- " <td>18318.0</td>\n",
- " <td>15783.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>14723.0</td>\n",
- " <td>13545.0</td>\n",
- " <td>16355.0</td>\n",
- " <td>15231.0</td>\n",
- " <td>13060.0</td>\n",
- " <td>16738.0</td>\n",
- " <td>14985.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>13429.0</td>\n",
- " <td>13283.0</td>\n",
- " <td>15971.0</td>\n",
- " <td>14461.0</td>\n",
- " <td>12859.0</td>\n",
- " <td>15712.0</td>\n",
- " <td>14457.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>5</th>\n",
- " <td>13123.0</td>\n",
- " <td>12799.0</td>\n",
- " <td>15087.0</td>\n",
- " <td>14188.0</td>\n",
- " <td>12571.0</td>\n",
- " <td>14560.0</td>\n",
- " <td>13841.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>6</th>\n",
- " <td>12534.0</td>\n",
- " <td>13222.0</td>\n",
- " <td>14111.0</td>\n",
- " <td>13805.0</td>\n",
- " <td>12697.0</td>\n",
- " <td>13730.0</td>\n",
- " <td>13513.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>7</th>\n",
- " <td>12412.0</td>\n",
- " <td>13347.0</td>\n",
- " <td>13925.0</td>\n",
- " <td>13212.0</td>\n",
- " <td>12016.0</td>\n",
- " <td>13510.0</td>\n",
- " <td>13202.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>8</th>\n",
- " <td>12300.0</td>\n",
- " <td>12877.0</td>\n",
- " <td>13753.0</td>\n",
- " <td>13330.0</td>\n",
- " <td>12718.0</td>\n",
- " <td>13071.0</td>\n",
- " <td>13149.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>9</th>\n",
- " <td>12334.0</td>\n",
- " <td>12479.0</td>\n",
- " <td>12190.0</td>\n",
- " <td>12819.0</td>\n",
- " <td>12733.0</td>\n",
- " <td>13181.0</td>\n",
- " <td>12680.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>10</th>\n",
- " <td>12415.0</td>\n",
- " <td>12396.0</td>\n",
- " <td>14859.0</td>\n",
- " <td>12580.0</td>\n",
- " <td>12493.0</td>\n",
- " <td>13007.0</td>\n",
- " <td>13067.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>11</th>\n",
- " <td>12499.0</td>\n",
- " <td>12018.0</td>\n",
- " <td>14367.0</td>\n",
- " <td>12089.0</td>\n",
- " <td>12489.0</td>\n",
- " <td>12475.0</td>\n",
- " <td>12687.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>12</th>\n",
- " <td>12112.0</td>\n",
- " <td>11797.0</td>\n",
- " <td>13397.0</td>\n",
- " <td>11833.0</td>\n",
- " <td>10983.0</td>\n",
- " <td>12027.0</td>\n",
- " <td>12007.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>13</th>\n",
- " <td>12507.0</td>\n",
- " <td>11260.0</td>\n",
- " <td>11310.0</td>\n",
- " <td>11453.0</td>\n",
- " <td>11738.0</td>\n",
- " <td>11987.0</td>\n",
- " <td>11549.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>14</th>\n",
- " <td>18565.0</td>\n",
- " <td>11445.0</td>\n",
- " <td>12272.0</td>\n",
- " <td>11305.0</td>\n",
- " <td>13060.0</td>\n",
- " <td>10325.0</td>\n",
- " <td>11681.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>15</th>\n",
- " <td>20929.0</td>\n",
- " <td>11661.0</td>\n",
- " <td>13843.0</td>\n",
- " <td>9761.0</td>\n",
- " <td>12757.0</td>\n",
- " <td>11575.0</td>\n",
- " <td>11919.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>16</th>\n",
- " <td>24691.0</td>\n",
- " <td>10243.0</td>\n",
- " <td>12639.0</td>\n",
- " <td>11000.0</td>\n",
- " <td>12310.0</td>\n",
- " <td>13061.0</td>\n",
- " <td>11850.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>17</th>\n",
- " <td>24303.0</td>\n",
- " <td>11452.0</td>\n",
- " <td>11596.0</td>\n",
- " <td>12356.0</td>\n",
- " <td>11795.0</td>\n",
- " <td>12023.0</td>\n",
- " <td>11844.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>18</th>\n",
- " <td>20059.0</td>\n",
- " <td>12695.0</td>\n",
- " <td>11538.0</td>\n",
- " <td>10372.0</td>\n",
- " <td>10401.0</td>\n",
- " <td>11586.0</td>\n",
- " <td>11318.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>19</th>\n",
- " <td>14428.0</td>\n",
- " <td>10361.0</td>\n",
- " <td>9821.0</td>\n",
- " <td>12114.0</td>\n",
- " <td>12002.0</td>\n",
- " <td>10138.0</td>\n",
- " <td>10887.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>20</th>\n",
- " <td>16390.0</td>\n",
- " <td>11717.0</td>\n",
- " <td>11386.0</td>\n",
- " <td>11718.0</td>\n",
- " <td>11222.0</td>\n",
- " <td>11692.0</td>\n",
- " <td>11547.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>21</th>\n",
- " <td>13839.0</td>\n",
- " <td>11653.0</td>\n",
- " <td>10974.0</td>\n",
- " <td>11431.0</td>\n",
- " <td>11013.0</td>\n",
- " <td>11334.0</td>\n",
- " <td>11281.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>22</th>\n",
- " <td>11265.0</td>\n",
- " <td>9534.0</td>\n",
- " <td>9397.0</td>\n",
- " <td>9603.0</td>\n",
- " <td>9192.0</td>\n",
- " <td>9514.0</td>\n",
- " <td>9448.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>23</th>\n",
- " <td>12106.0</td>\n",
- " <td>11461.0</td>\n",
- " <td>11259.0</td>\n",
- " <td>11134.0</td>\n",
- " <td>11171.0</td>\n",
- " <td>11603.0</td>\n",
- " <td>11325.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>24</th>\n",
- " <td>11302.0</td>\n",
- " <td>10754.0</td>\n",
- " <td>10535.0</td>\n",
- " <td>10698.0</td>\n",
- " <td>10673.0</td>\n",
- " <td>10858.0</td>\n",
- " <td>10703.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>25</th>\n",
- " <td>10694.0</td>\n",
- " <td>10807.0</td>\n",
- " <td>10514.0</td>\n",
- " <td>10930.0</td>\n",
- " <td>10611.0</td>\n",
- " <td>10629.0</td>\n",
- " <td>10698.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>26</th>\n",
- " <td>10282.0</td>\n",
- " <td>10824.0</td>\n",
- " <td>10529.0</td>\n",
- " <td>10624.0</td>\n",
- " <td>10526.0</td>\n",
- " <td>10525.0</td>\n",
- " <td>10605.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>27</th>\n",
- " <td>10412.0</td>\n",
- " <td>10328.0</td>\n",
- " <td>10565.0</td>\n",
- " <td>10565.0</td>\n",
- " <td>10412.0</td>\n",
- " <td>10545.0</td>\n",
- " <td>10483.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>28</th>\n",
- " <td>9941.0</td>\n",
- " <td>10512.0</td>\n",
- " <td>10467.0</td>\n",
- " <td>10643.0</td>\n",
- " <td>10647.0</td>\n",
- " <td>10278.0</td>\n",
- " <td>10509.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>29</th>\n",
- " <td>10096.0</td>\n",
- " <td>10324.0</td>\n",
- " <td>10353.0</td>\n",
- " <td>10426.0</td>\n",
- " <td>10672.0</td>\n",
- " <td>10028.0</td>\n",
- " <td>10360.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>30</th>\n",
- " <td>10159.0</td>\n",
- " <td>10422.0</td>\n",
- " <td>10356.0</td>\n",
- " <td>10147.0</td>\n",
- " <td>10612.0</td>\n",
- " <td>10021.0</td>\n",
- " <td>10311.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>31</th>\n",
- " <td>10262.0</td>\n",
- " <td>10564.0</td>\n",
- " <td>10408.0</td>\n",
- " <td>10239.0</td>\n",
- " <td>10433.0</td>\n",
- " <td>9893.0</td>\n",
- " <td>10307.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>32</th>\n",
- " <td>10236.0</td>\n",
- " <td>10406.0</td>\n",
- " <td>10542.0</td>\n",
- " <td>10278.0</td>\n",
- " <td>10439.0</td>\n",
- " <td>10153.0</td>\n",
- " <td>10363.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>33</th>\n",
- " <td>10592.0</td>\n",
- " <td>10405.0</td>\n",
- " <td>10091.0</td>\n",
- " <td>10569.0</td>\n",
- " <td>10312.0</td>\n",
- " <td>10352.0</td>\n",
- " <td>10345.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>34</th>\n",
- " <td>10990.0</td>\n",
- " <td>10279.0</td>\n",
- " <td>10199.0</td>\n",
- " <td>10698.0</td>\n",
- " <td>10637.0</td>\n",
- " <td>10354.0</td>\n",
- " <td>10433.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>35</th>\n",
- " <td>10364.0</td>\n",
- " <td>9478.0</td>\n",
- " <td>9046.0</td>\n",
- " <td>9372.0</td>\n",
- " <td>9226.0</td>\n",
- " <td>10239.0</td>\n",
- " <td>9472.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>36</th>\n",
- " <td>9023.0</td>\n",
- " <td>10918.0</td>\n",
- " <td>10680.0</td>\n",
- " <td>10781.0</td>\n",
- " <td>10681.0</td>\n",
- " <td>9092.0</td>\n",
- " <td>10430.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>37</th>\n",
- " <td>11176.0</td>\n",
- " <td>10892.0</td>\n",
- " <td>10496.0</td>\n",
- " <td>10692.0</td>\n",
- " <td>10401.0</td>\n",
- " <td>10573.0</td>\n",
- " <td>10610.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>38</th>\n",
- " <td>10797.0</td>\n",
- " <td>10792.0</td>\n",
- " <td>10498.0</td>\n",
- " <td>10875.0</td>\n",
- " <td>10183.0</td>\n",
- " <td>10381.0</td>\n",
- " <td>10545.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>39</th>\n",
- " <td>10890.0</td>\n",
- " <td>10954.0</td>\n",
- " <td>10463.0</td>\n",
- " <td>11027.0</td>\n",
- " <td>10278.0</td>\n",
- " <td>10826.0</td>\n",
- " <td>10709.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>40</th>\n",
- " <td>11468.0</td>\n",
- " <td>11113.0</td>\n",
- " <td>10869.0</td>\n",
- " <td>11101.0</td>\n",
- " <td>10671.0</td>\n",
- " <td>10700.0</td>\n",
- " <td>10890.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>41</th>\n",
- " <td>11373.0</td>\n",
- " <td>11403.0</td>\n",
- " <td>11048.0</td>\n",
- " <td>11357.0</td>\n",
- " <td>11016.0</td>\n",
- " <td>11108.0</td>\n",
- " <td>11186.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>42</th>\n",
- " <td>11943.0</td>\n",
- " <td>11625.0</td>\n",
- " <td>11177.0</td>\n",
- " <td>11389.0</td>\n",
- " <td>11134.0</td>\n",
- " <td>10799.0</td>\n",
- " <td>11224.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>43</th>\n",
- " <td>12317.0</td>\n",
- " <td>11415.0</td>\n",
- " <td>10885.0</td>\n",
- " <td>11152.0</td>\n",
- " <td>11048.0</td>\n",
- " <td>10966.0</td>\n",
- " <td>11093.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>44</th>\n",
- " <td>12517.0</td>\n",
- " <td>11567.0</td>\n",
- " <td>10866.0</td>\n",
- " <td>11366.0</td>\n",
- " <td>11463.0</td>\n",
- " <td>11026.0</td>\n",
- " <td>11257.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>45</th>\n",
- " <td>13448.0</td>\n",
- " <td>12177.0</td>\n",
- " <td>11588.0</td>\n",
- " <td>11767.0</td>\n",
- " <td>11803.0</td>\n",
- " <td>11312.0</td>\n",
- " <td>11729.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>46</th>\n",
- " <td>13798.0</td>\n",
- " <td>12146.0</td>\n",
- " <td>11552.0</td>\n",
- " <td>11773.0</td>\n",
- " <td>12209.0</td>\n",
- " <td>11338.0</td>\n",
- " <td>11803.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>47</th>\n",
- " <td>14291.0</td>\n",
- " <td>12472.0</td>\n",
- " <td>11289.0</td>\n",
- " <td>12102.0</td>\n",
- " <td>12064.0</td>\n",
- " <td>11178.0</td>\n",
- " <td>11821.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>48</th>\n",
- " <td>14132.0</td>\n",
- " <td>12455.0</td>\n",
- " <td>11392.0</td>\n",
- " <td>12046.0</td>\n",
- " <td>11901.0</td>\n",
- " <td>11216.0</td>\n",
- " <td>11802.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>49</th>\n",
- " <td>13986.0</td>\n",
- " <td>12275.0</td>\n",
- " <td>11687.0</td>\n",
- " <td>12342.0</td>\n",
- " <td>12733.0</td>\n",
- " <td>11748.0</td>\n",
- " <td>12157.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>50</th>\n",
- " <td>13942.0</td>\n",
- " <td>12853.0</td>\n",
- " <td>12078.0</td>\n",
- " <td>12924.0</td>\n",
- " <td>12076.0</td>\n",
- " <td>11713.0</td>\n",
- " <td>12328.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>51</th>\n",
- " <td>14658.0</td>\n",
- " <td>13566.0</td>\n",
- " <td>12649.0</td>\n",
- " <td>14308.0</td>\n",
- " <td>13137.0</td>\n",
- " <td>12136.0</td>\n",
- " <td>13159.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>52</th>\n",
- " <td>13035.0</td>\n",
- " <td>8727.0</td>\n",
- " <td>8384.0</td>\n",
- " <td>9904.0</td>\n",
- " <td>9335.0</td>\n",
- " <td>9806.0</td>\n",
- " <td>9231.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>53</th>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " total_2020 total_2019 total_2018 total_2017 total_2016 total_2015 \\\n",
- "1 13768.0 12424.0 14701.0 13612.0 14863.0 13751.0 \n",
- "2 16020.0 14487.0 17430.0 15528.0 13154.0 18318.0 \n",
- "3 14723.0 13545.0 16355.0 15231.0 13060.0 16738.0 \n",
- "4 13429.0 13283.0 15971.0 14461.0 12859.0 15712.0 \n",
- "5 13123.0 12799.0 15087.0 14188.0 12571.0 14560.0 \n",
- "6 12534.0 13222.0 14111.0 13805.0 12697.0 13730.0 \n",
- "7 12412.0 13347.0 13925.0 13212.0 12016.0 13510.0 \n",
- "8 12300.0 12877.0 13753.0 13330.0 12718.0 13071.0 \n",
- "9 12334.0 12479.0 12190.0 12819.0 12733.0 13181.0 \n",
- "10 12415.0 12396.0 14859.0 12580.0 12493.0 13007.0 \n",
- "11 12499.0 12018.0 14367.0 12089.0 12489.0 12475.0 \n",
- "12 12112.0 11797.0 13397.0 11833.0 10983.0 12027.0 \n",
- "13 12507.0 11260.0 11310.0 11453.0 11738.0 11987.0 \n",
- "14 18565.0 11445.0 12272.0 11305.0 13060.0 10325.0 \n",
- "15 20929.0 11661.0 13843.0 9761.0 12757.0 11575.0 \n",
- "16 24691.0 10243.0 12639.0 11000.0 12310.0 13061.0 \n",
- "17 24303.0 11452.0 11596.0 12356.0 11795.0 12023.0 \n",
- "18 20059.0 12695.0 11538.0 10372.0 10401.0 11586.0 \n",
- "19 14428.0 10361.0 9821.0 12114.0 12002.0 10138.0 \n",
- "20 16390.0 11717.0 11386.0 11718.0 11222.0 11692.0 \n",
- "21 13839.0 11653.0 10974.0 11431.0 11013.0 11334.0 \n",
- "22 11265.0 9534.0 9397.0 9603.0 9192.0 9514.0 \n",
- "23 12106.0 11461.0 11259.0 11134.0 11171.0 11603.0 \n",
- "24 11302.0 10754.0 10535.0 10698.0 10673.0 10858.0 \n",
- "25 10694.0 10807.0 10514.0 10930.0 10611.0 10629.0 \n",
- "26 10282.0 10824.0 10529.0 10624.0 10526.0 10525.0 \n",
- "27 10412.0 10328.0 10565.0 10565.0 10412.0 10545.0 \n",
- "28 9941.0 10512.0 10467.0 10643.0 10647.0 10278.0 \n",
- "29 10096.0 10324.0 10353.0 10426.0 10672.0 10028.0 \n",
- "30 10159.0 10422.0 10356.0 10147.0 10612.0 10021.0 \n",
- "31 10262.0 10564.0 10408.0 10239.0 10433.0 9893.0 \n",
- "32 10236.0 10406.0 10542.0 10278.0 10439.0 10153.0 \n",
- "33 10592.0 10405.0 10091.0 10569.0 10312.0 10352.0 \n",
- "34 10990.0 10279.0 10199.0 10698.0 10637.0 10354.0 \n",
- "35 10364.0 9478.0 9046.0 9372.0 9226.0 10239.0 \n",
- "36 9023.0 10918.0 10680.0 10781.0 10681.0 9092.0 \n",
- "37 11176.0 10892.0 10496.0 10692.0 10401.0 10573.0 \n",
- "38 10797.0 10792.0 10498.0 10875.0 10183.0 10381.0 \n",
- "39 10890.0 10954.0 10463.0 11027.0 10278.0 10826.0 \n",
- "40 11468.0 11113.0 10869.0 11101.0 10671.0 10700.0 \n",
- "41 11373.0 11403.0 11048.0 11357.0 11016.0 11108.0 \n",
- "42 11943.0 11625.0 11177.0 11389.0 11134.0 10799.0 \n",
- "43 12317.0 11415.0 10885.0 11152.0 11048.0 10966.0 \n",
- "44 12517.0 11567.0 10866.0 11366.0 11463.0 11026.0 \n",
- "45 13448.0 12177.0 11588.0 11767.0 11803.0 11312.0 \n",
- "46 13798.0 12146.0 11552.0 11773.0 12209.0 11338.0 \n",
- "47 14291.0 12472.0 11289.0 12102.0 12064.0 11178.0 \n",
- "48 14132.0 12455.0 11392.0 12046.0 11901.0 11216.0 \n",
- "49 13986.0 12275.0 11687.0 12342.0 12733.0 11748.0 \n",
- "50 13942.0 12853.0 12078.0 12924.0 12076.0 11713.0 \n",
- "51 14658.0 13566.0 12649.0 14308.0 13137.0 12136.0 \n",
- "52 13035.0 8727.0 8384.0 9904.0 9335.0 9806.0 \n",
- "53 NaN NaN NaN NaN NaN NaN \n",
- "\n",
- " previous_mean \n",
- "1 13870.2 \n",
- "2 15783.4 \n",
- "3 14985.8 \n",
- "4 14457.2 \n",
- "5 13841.0 \n",
- "6 13513.0 \n",
- "7 13202.0 \n",
- "8 13149.8 \n",
- "9 12680.4 \n",
- "10 13067.0 \n",
- "11 12687.6 \n",
- "12 12007.4 \n",
- "13 11549.6 \n",
- "14 11681.4 \n",
- "15 11919.4 \n",
- "16 11850.6 \n",
- "17 11844.4 \n",
- "18 11318.4 \n",
- "19 10887.2 \n",
- "20 11547.0 \n",
- "21 11281.0 \n",
- "22 9448.0 \n",
- "23 11325.6 \n",
- "24 10703.6 \n",
- "25 10698.2 \n",
- "26 10605.6 \n",
- "27 10483.0 \n",
- "28 10509.4 \n",
- "29 10360.6 \n",
- "30 10311.6 \n",
- "31 10307.4 \n",
- "32 10363.6 \n",
- "33 10345.8 \n",
- "34 10433.4 \n",
- "35 9472.2 \n",
- "36 10430.4 \n",
- "37 10610.8 \n",
- "38 10545.8 \n",
- "39 10709.6 \n",
- "40 10890.8 \n",
- "41 11186.4 \n",
- "42 11224.8 \n",
- "43 11093.2 \n",
- "44 11257.6 \n",
- "45 11729.4 \n",
- "46 11803.6 \n",
- "47 11821.0 \n",
- "48 11802.0 \n",
- "49 12157.0 \n",
- "50 12328.8 \n",
- "51 13159.2 \n",
- "52 9231.2 \n",
- "53 NaN "
- ]
- },
- "execution_count": 41,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "deaths_headlines_e['previous_mean'] = deaths_headlines_e['total_2019 total_2018 total_2017 total_2016 total_2015'.split()].apply(np.mean, axis=1)\n",
- "deaths_headlines_w['previous_mean'] = deaths_headlines_w['total_2019 total_2018 total_2017 total_2016 total_2015'.split()].apply(np.mean, axis=1)\n",
- "deaths_headlines_s['previous_mean'] = deaths_headlines_s['total_2019 total_2018 total_2017 total_2016 total_2015'.split()].apply(np.mean, axis=1)\n",
- "deaths_headlines_i['previous_mean'] = deaths_headlines_i['total_2019 total_2018 total_2017 total_2016 total_2015'.split()].apply(np.mean, axis=1)\n",
- "deaths_headlines['previous_mean'] = deaths_headlines['total_2019 total_2018 total_2017 total_2016 total_2015'.split()].apply(np.mean, axis=1)\n",
- "deaths_headlines"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 109,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<matplotlib.axes._subplots.AxesSubplot at 0x7f9b5d140cd0>"
- ]
- },
- "execution_count": 109,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 1008x576 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "deaths_headlines['total_2020 total_2019 total_2018 total_2017 total_2016 total_2015'.split()].plot(figsize=(14, 8))"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 110,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<matplotlib.axes._subplots.AxesSubplot at 0x7f9b6365e810>"
- ]
- },
- "execution_count": 110,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
- "image/png": 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AGGAUsMYYsx0oBf5ljBlCcEQrsqhGKVDZQXtplPZjWGvvt9bOstbOGjx4cCxdF4mb1hpinR4Ry+BgYzMHG7u/zVlEkkdHa7ilb+rs31ssuyYN8ACwyVr7m9CbrLPWFllrR1prRxIMUydYa6uB54ArQ7sn5wJea20V8DIw3xhTaIwpJDia9nLotTpjzNzQe10JPHtMR0R6WWsNsc6OiIVriWmdmIjEyO12s2/fPoWxfsZay759+3C7Y/85EcvU5DzgCmCdMSY8Bvhja+2LbVz/IsEdk+VAPfC1UOf2G2NuBT4IXXeLtXZ/6PNrgIeBTGBJ6EOkT6nyhI836tyIWHFuqJZYXSOjB+fEvV8i4jylpaVUVFRQU6NlDf2N2+1ut+r/0ToMYtbat4i+jivympERn1vgujauexB4MEr7SmBKR30R6U2VXh/Z6S7y3J07kKIoNCKmnZMiEqu0tDRGjRrV292QHqDK+iIxqvI0UFKQGXMx17DD1fV1zJGIiBxJQUwkRlVeX8xnTEbKzUglM83FnjqNiImIyJEUxERiVOlt6PSOSQgelFuUl8FujYiJiMhRFMREYtDUHGDvwUaGdGFEDIIL9rVGTEREjqYgJhKD3bUNWAtDO1m6IqwoL4OaOo2IiYjIkRTERGJQ6QnVEOvC1CRAkUbEREQkCgUxkRhUh0JUV0fEivMyONTUour6IiJyBAUxkRhUdrGYa1hxawkLjYqJiMhhCmIiMajy+shzp5Kd0blirmFFueGirlonJiIihymIicSg0tPA0IKujYZBRFFX1RITEZEICmIiMehqMdewwwd/a0RMREQOUxATiUGVN3i8UVflhKrra+ekiIhEUhAT6UCDv4X9h5oY2o0RMWMMxXkZ7FYtMRERiaAgJtKBKm/3dkyGFeW6tWtSRESOoCAm0oGqcDHXLtYQCyvKy2CPRsRERCSCgphIBypDI2JdOfA7UnGequuLiMiRFMREOhAeEevqgd9hRbkZ1Ku6voiIRFAQE+lApbeBgdnpuNNc3XpOuLq+RsVERCRMQUykA1VeX7fXh0FwjRgoiImIyGEKYiIdqPI0dHvHJAR3TQLUaMG+iIiEKIiJdKDS6+tWDbGwYo2IiYjIURTERNpxsLGZuoZmhsRhRCwnI5WsdJcO/hYRkVYKYiLtCO+YHBqHNWLGGIpyVUtMREQOUxATaUdlnKrqhxWplpiIiERQEBNpR7U3VFU/DmvEIFjCQscciYhImIKYSDsqPQ0Y0/1irmHhqUlrbVyeJyIi/ZuCmEg7qrw+BudkkOaKz38qxXmqri8iIocpiIm0o8rbQElBfNaHQWR1fS3YFxERBTGRdlV64lNDLGxwbrCW2J46rRMTEREFMZE2WWuDI2Jx2jEJh0fE9mhETEREUBATaVOtr5n6ppa41BAL08HfIiISSUFMpA2VraUr4jciFq6ur6KuIiICCmIibaoKB7E4johBcFRMI2IiIgIKYiJtqvQEw9LQOI6IQXDBvkbEREQEFMRE2lTl9ZGaYlp3OsaLquuLiEiYgphIG6o8DRTnuXGlmLg+tzg3g921qq4vIiIKYiJtqvT64nbGZKSivAx8flXXFxERBTGRNsW7qn6YquuLiEiYgphIFOFirvGsqh9WlBsu6qp1YiIiyU5BTCSKfYeaaGoOMCRBU5OAdk6KiIiCmEg0VaHSFfEs5hqm6voiIhKmICYSRbiqfjyPNwrLyUglO92lNWIiItJxEDPGDDfGLDPGbDLGbDDG3BBq/7UxZrMxZq0x5hljTEHEPT8yxpQbYz4yxpwV0X52qK3cGHNTRPsoY8z7xpgyY8yTxpj0eH+jIp1R7U3ciBhAUZ6bPXUaERMRSXaxjIg1A/9hrZ0EzAWuM8ZMBpYCU6y104AtwI8AQq9dChwHnA3ca4xxGWNcwD3AAmAycFnoWoBfAb+11o4DDgDfiNc3KNIVlV4f6a4UBmYn5neCotwM9mhETEQk6XUYxKy1Vdbaf4U+rwM2AcOsta9Ya8OFkN4DSkOfnw88Ya1ttNZ+DJQDc0If5dbabdbaJuAJ4HxjjAHOAP4auv8R4IL4fHsiXVPlaWBIvpuUOBdzDSvOc7NbI2IiIkmvU2vEjDEjgRnA+0e99HVgSejzYcDOiNcqQm1ttQ8EPBGhLtwu0muqElTMNSw8Iqbq+iIiyS3mIGaMyQGeBr5jra2NaP8JwenLx8NNUW63XWiP1odFxpiVxpiVNTU1sXZdpNMqPQ0MTUAx17DiPDc+fwt1qq4vIpLUYgpixpg0giHscWvt3yLaFwLnApfbw7/aVwDDI24vBSrbad8LFBhjUo9qP4a19n5r7Sxr7azBgwfH0nWRTmsJWHbXNiR2RCxcS0wlLEREklosuyYN8ACwyVr7m4j2s4EbgfOstfURtzwHXGqMyTDGjALGASuAD4BxoR2S6QQX9D8XCnDLgItC9y8Enu3+tybSNXsPNtIcsAk53ijscHV9LdgXEUlmqR1fwjzgCmCdMWZ1qO3HwF1ABrA0mNV4z1p7tbV2gzHmKWAjwSnL66y1LQDGmOuBlwEX8KC1dkPoeTcCTxhjfgZ8SDD4ifSKSk+ohlgCR8SKQyNiWrAvIpLcOgxi1tq3iL6O68V27vk58PMo7S9Gu89au43grkqRXleV4BpiEKwjBjr4W0Qk2amyvshRWkfEElBVPyxcXV9TkyIiyU1BTOQoVd4GMtNc5GemJfR9VEtMREQUxESOUuX1UVLgJrT2MWEG52Zo16SISJJTEBM5SqWngaEJXB8WVpznZk+dpiZFRJKZgpjIURJdVT+sOC+D3bUNqq4vIpLEFMREIvhbAuypa+yRIFaU66bBH6C2QdX1RUSSlYKYSITgCBUJLeYaFq6uX6MF+yIiSUtBTCTC4RpiPTE1qVpiIiLJTkFMJMLhGmI9MCKWG6qur52TIiJJS0FMJEJPjoiFq+tr56SISPJSEBOJUO1tIDcjlVx3You5QrC6fk5GqkbERESSmIKYSIRKT7CYa08pys3QMUciIklMQUwkQpW3IaGHfR+tKC+DPdo1KSKStBTERCJUeX0JPez7aMV5bu2aFBFJYgpiIiGNzS3sPdjUsyNiuaquLyKSzBTEREKqe3DHZFhxnpvGZlXXFxFJVgpiIiGVnmAQ64kaYmGtJSy0c1JEJCkpiImEVHmDxVx7ckTscFFXrRMTEUlGCmIiIYeLufbciFhxa1FXjYiJiCQjBTGRkEqPj8KsNDLTXT32nhoRExFJbgpiIiE9XUMMIFvV9UVEkpqCmEjIrgM9W0MsrCgvgxqdNykikpQUxEQAf0uAbXsPMrYot8ffO1xLTEREko+CmAiwreYQ/hbLpJKeD2LFeW72aERMRCQpKYiJAJuqagGYOCSvx987eMyRquuLiCQjBTERYFN1LWkuw+jB2T3+3kW5GcHq+j5V1xcRSTYKYiLA5qo6xhblkubq+f8kilRLTEQkaSmIiQCbq2t7ZX0YQLFqiYmIJC0FMUl6+w81sbu2kUm9sD4MDo+IaeekiEjyURCTpLe5OrRQv5dGxMLV9bVzUkQk+SiISdLbXFUH9M6OSQhW189VdX0RkaSkICZJb3N1LYNy0hkcGpnqDYPzMrRYX0QkCSmISdLbXF3Xa6NhYcW5bvZosb6ISNJREJOk1hKwfFRdx8QhvbM+LKw4L4PdGhETEUk6CmKS1LbvO0Rjc4CJJb07IlaU52Z3baOq64uIJBkFMUlqhxfq9+6IWFFuBk2qri8iknQUxCSpba6uxZViGFuU06v9aK0lpulJEZGkoiAmSW1TVR2jB2XjTnP1aj8OV9dXEBMRSSYKYpLUNlfX9vr6MIDi8HmT2jkpIpJUFMQkadU2+Kk44Ov19WEARXmhETFNTYqIJBUFMUlaW6qDC/V767DvSFnpwer6GhETEUkuHQYxY8xwY8wyY8wmY8wGY8wNofYBxpilxpiy0P8WhtqNMeYuY0y5MWatMeaEiGctDF1fZoxZGNE+0xizLnTPXcYYk4hvViTSpurePdroaEWqri8iknRiGRFrBv7DWjsJmAtcZ4yZDNwEvGatHQe8FvoaYAEwLvSxCFgMweAG3AycCMwBbg6Ht9A1iyLuO7v735pI+zZX1ZLnTqUk393bXQGgKDdYS0xERJJHh0HMWltlrf1X6PM6YBMwDDgfeCR02SPABaHPzwcetUHvAQXGmBLgLGCptXa/tfYAsBQ4O/RanrX2XRusZvloxLNEEmZTVXChfl8ZgNWImIhI8unUGjFjzEhgBvA+UGytrYJgWAOKQpcNA3ZG3FYRamuvvSJKu0jCBEJHG03qAwv1wwZkp3PgkL+3uyEiIj0o5iBmjMkBnga+Y62tbe/SKG22C+3R+rDIGLPSGLOypqamoy6LtKnigI9DTS19onRFWGFWOgcbm2lqDvR2V0REpIfEFMSMMWkEQ9jj1tq/hZp3h6YVCf3vnlB7BTA84vZSoLKD9tIo7cew1t5vrZ1lrZ01ePDgWLouEtWm6uDvEn2hdEVYYXY6AJ76pl7uiYiI9JRYdk0a4AFgk7X2NxEvPQeEdz4uBJ6NaL8ytHtyLuANTV2+DMw3xhSGFunPB14OvVZnjJkbeq8rI54lkhCbq+owBib0pSCWlQbAgXpNT4qIJIvUGK6ZB1wBrDPGrA61/Rj4JfCUMeYbwA7g4tBrLwLnAOVAPfA1AGvtfmPMrcAHoetusdbuD31+DfAwkAksCX2IJMzm6lpGDswmKz2W/wR6RmFWcERs/yGNiImIJIsOfwpZa98i+jougDOjXG+B69p41oPAg1HaVwJTOuqLSLxsrq7rU9OScDiIaWpSRCR5qLK+JJ36pma27zvUZwq5hhVma2pSRCTZKIhJ0tmy+yDWwsQ+cLRRpPCI2AGNiImIJA0FMUk6m6uCOyYn9bERMXeai8w0Fwe0RkxEJGkoiEnS2VxdR3a6i9LCzN7uyjEKs9I0NSkikkQUxCTpbKqqZcKQXFJS+sbRRpEKstI1NSkikkQUxCSpWGuDOyb7UEX9SAOyFcRERJKJgpgkleraBrw+f586YzJSQVYaHk1NiogkDQUxSSqbq+oA+uyIWGFWugq6iogkEQUxSSrhMyb70tFGkQqz06lt8NMSiHruvYiIOIyCmCSVzVV1DCvIJM+d1ttdiaowKw1rwevT9KSISDJQEJOksrm6lkl9rJBrJJ03KSKSXBTEJGk0+FvYWtP3jjaKVJit8yZFRJKJgpgkjfI9B2kJ2D53tFGkwiydNykikkwUxCRpbK4O7ZjsyyNi4fMmNTUpIpIUFMQkaWyuqiUjNYWRA7N6uyttCk9NqqiriEhyUBCTpLG5uo7xxbmkuvruP/vsdBdpLqOpSRGRJNF3fyKJxNnm6lom9tH6YWHGmOB5k5qaFBFJCgpikhRq6hrZe7Cpz1bUjzRAB3+LiCQNBTFJCptDFfX7cg2xMJ03KSKSPBTEJCm0njHZh3dMhhVmpbNfI2IiIklBQUySwqbqWorzMhgQ2pXYlxVmp6ugq4hIklAQk6SwuaquX4yGQbCo64F6P9bq4G8REadTEBPH87cEKN9zsE9X1I9UmJVOS8BS29Dc210REZEEUxATx/t47yGaWgJM6i8jYjpvUkQkaSiIieNtqgrumOw/I2I6b1JEJFkoiInjba6uI81lGD0op7e7EpMCnTcpIpI0FMTE8TZX1TJmcA7pqf3jn/sAnTcpIpI0+sdPJpFu2Fxdx6R+UFE/TFOTIiLJQ0FMHM1T30SVt6HPnzEZKc+dRorR1KSISDJQEBNH2xSuqN+PRsRSUkIHf2tqUkTE8RTExNFaz5jsRyNioPMmRUSShYKYONon++rJzUhlcG5Gb3elUwqz0tmvqUkREcdTEBNH89Q3UZidjjGmt7vSKYWamhQRSQoKYuJoHp+fgtAuxP6kUFOTIiJJQUFMHM1T7yc/sx8Gsex09tc36eBvERGHUxATR/P6/K2V6vuTwqx0mpoD+Pwtvd0VERFJIAUxcTRPfRMF/XFETEVdRUSSgoKYOFYgYEMjYv0viOm8SRGR5KAgJo5V19hMwNIv14jpvEkRkeSgICaOVesLTuv1zzVimpoUEUkGCmLiWOHyD/1xjZimJkVEkkPPiiwAACAASURBVIOCmDiWxxcMMf1zjVh4RExBTETEyToMYsaYB40xe4wx6yPajjfGvGeMWW2MWWmMmRNqN8aYu4wx5caYtcaYEyLuWWiMKQt9LIxon2mMWRe65y7T30qgS5/VOiLWD4NYmiuFXHeqirqKiDhcLCNiDwNnH9V2O/Df1trjgZ+GvgZYAIwLfSwCFgMYYwYANwMnAnOAm40xhaF7FoeuDd939HuJdIkntEYsP7P/rREDnTcpIpIMOgxi1trlwP6jm4G80Of5QGXo8/OBR23Qe0CBMaYEOAtYaq3db609ACwFzg69lmetfdcGS4g/ClzQ7e9KBPCGpvX6465JCFbX19SkiIizpXbxvu8ALxtj7iAY5k4OtQ8DdkZcVxFqa6+9Ikq7SLd56v1kp7tIT+2fSyELs9LYd1BBTETEybr6E+oa4LvW2uHAd4EHQu3R1nfZLrRHZYxZFFqTtrKmpqaTXZZk4+mnxxuFaWpSRMT5uhrEFgJ/C33+F4LrviA4ojU84rpSgtOW7bWXRmmPylp7v7V2lrV21uDBg7vYdUkW/fXA77DCrHQ8mpoUEXG0rgaxSuDU0OdnAGWhz58DrgztnpwLeK21VcDLwHxjTGFokf584OXQa3XGmLmh3ZJXAs929ZsRieT1NfXLHZNhhVlpHGpqobFZB3+LiDhVh2vEjDF/Bk4DBhljKgjufvwmcKcxJhVoILjrEeBF4BygHKgHvgZgrd1vjLkV+CB03S3W2vAGgGsI7szMBJaEPkS6zVPvZ1xxTm93o8sKQscceer9FOe5erk3IiKSCB0GMWvtZW28NDPKtRa4ro3nPAg8GKV9JTClo36IdJbH17+nJgdkHT5vsjjP3cu9ERGRROif28lEOmCtxVvv77c1xCDivMlDKuoqIuJUCmLiSD5/C00tgX69RqwgYkRMREScSUFMHKk/H/gdNiBbQUxExOkUxMSR+vM5k2Hhvuu8SRER51IQE0fy+MLHG/XfNWLuNBeZaS4VdRURcTAFMXEkrwNGxCA4PampSRER51IQE0fy+JwRxAqy0jQ1KSLiYApi4kiHF+v336lJ0HmTIiJOpyAmjuTxNZGemoI7rX//Ey/M1nmTIiJO1r9/Som0wVvvpyAzjeARpv1XYVYaBzQ1KSLiWApi4kieen+/Xx8GwaKuXp+f5pZAb3dFREQSQEFMHMnja+r368MABoTCpNenUTERESdSEBNH8tT7yXfAiFhha3V9BTERESdSEBNH8vr8/fp4ozCdNyki4mwKYuJITlkjNiAcxFTCQkTEkRTExHEa/C34/C2to0n9mc6bFBFxNgUxcZza0ML2fAdMTYbXiO3X1KSIiCMpiInjOOV4I4DsdBfprhStERMRcSgFMXEcpxxvBGCMCZ43eUhTkyIiTqQgJo4TPhLICSNiEDpvUiNiIiKOpCAmjuNx0BoxgMLsNJ03KSLiUApi4jjeeuesEYPgiJgKuoqIOJOCmDiOx9eEK8WQk5Ha212Ji4KsdNURExFxKAUxcRxPfbCqvjGmt7sSFwOy0/D4/Fhre7srIiISZwpi4jgenzPOmQwrzEqnJWCpbWju7a6IiEicKYiJ49Q65JzJsAIdcyQi4lgKYuI4wXMm+38NsbAB2cFQqaKuIiLOoyAmjuPxNTlyREznTYqIOI+CmDiOp955a8QA9mtqUkTEcRTExFGaWwLUNTQ74nijsAHhNWKamhQRcRwFMXGU8M5CpxRzBch1p5JiNDUpIuJECmLiKOGjgJxyvBFASoqhQOdNiog4koKYOErrOZMOGhEDKMzSeZMiIk6kICaO0nrOpINGxCB03uQhTU2KiDiNgpg4iscXHDVyUh0xCJ032YURMX9LgLtfK2sNqCIi0rcoiImjeBw6IjYgO61LQWzFx/v5n6VbeH5tZQJ6JSIi3aUgJo4SDmJ5DgtihVnpHKjv/MHfH+44AED5noOJ6JaIiHSTgpg4itfnJ8+diivF9HZX4qogK52m5gD1TS2dum/1Tg8AW3bXJaJbIiLSTQpi4iie+ibHrQ+Drp03aa3lwx3BIFamETERkT5JQUwcxePzO6qYa1hXzpusOOBj36EmRg7MoqauUeUvRET6IAUxcRRPvd9RxVzDunLe5L9C68MunjUcgC27NSomItLXdBjEjDEPGmP2GGPWH9X+bWPMR8aYDcaY2yPaf2SMKQ+9dlZE+9mhtnJjzE0R7aOMMe8bY8qMMU8aY5w3ryQ9xuvza2oyZPVOD+60FM6dVgJA2R6tExMR6WtiGRF7GDg7ssEYczpwPjDNWnsccEeofTJwKXBc6J57jTEuY4wLuAdYAEwGLgtdC/Ar4LfW2nHAAeAb3f2mJHl56pscV7oCujY1+eEOD9OGFTBiQBbZ6S7KNCImItLndBjErLXLgf1HNV8D/NJa2xi6Zk+o/XzgCWtto7X2Y6AcmBP6KLfWbrPWNgFPAOcbYwxwBvDX0P2PABd083uK7DvlGgVIGoGADY2IOTCIhcJlrFOTjc0tbKysZcaIAowxjC3O1c5JEZE+qKtrxMYDp4SmFN8wxswOtQ8DdkZcVxFqa6t9IOCx1jYf1R4Xr2zczWd/s7y1lpI4W11jMwHrrAO/w1JdKeS5U2NecL+xspamlgDHDy8AYFxRjnZOioj0QV0NYqlAITAX+AHwVGh0K1rxJtuF9qiMMYuMMSuNMStramo67OQHHwcH8l5YW9XhtdL/tZ4z6cA1YgCF2cGirrEI1w+bMaIQgPHFOdo5KSLSB3U1iFUAf7NBK4AAMCjUPjziulKgsp32vUCBMSb1qPaorLX3W2tnWWtnDR48uMNOrqkI/jBasq6q0xXJpf9pPWfSgSNi0LnzJj/c4WFInpsh+W4AxhXnAto5KSLS13Q1iP2d4NoujDHjgXSCoeo54FJjTIYxZhQwDlgBfACMC+2QTCe4oP85G0xHy4CLQs9dCDzb1W8mUnNLgPW7ainKzaDS28CaCm88Hit9WOs5kw5cIwYwICv28yZX7/QwY0RB69fjinIA7ZwUEelrYilf8WfgXWCCMabCGPMN4EFgdKikxRPAwtDo2AbgKWAj8BJwnbW2JbQG7HrgZWAT8FToWoAbge8ZY8oJrhl7IB7fWNmeg/j8LVx3+ljSXIYl6zQ96XQen7ODWGFWOgcOdTw1ue9gIzv217euDwMYVpCpnZMiIn1QakcXWGsva+Olr7Rx/c+Bn0dpfxF4MUr7NoK7KuNqbYUHQ4AzC6r555hBvLi+ipsWTCS4lE2cyBsaLcrPdOYasVinJo9eHwZo56SISB/l2Mr6q3d6+aJ7FaVPncVVgzeyc7+PDZW1vd0tSaDw1KQTd01CsKhrfVMLjc3tH/z94Q4PrhTD1GH5R7Rr56SISN/j2CC2tsLDWdnbADhp+72kpViWrNf0pJN5fH6y012kpzrzn3WsRV1X7/QwcUgumemuI9q1c1JEpO9x5E+sBn8LH1XXMY2PICOf1H0f8f3iD3lxXbV2TzqYp96ZxxuFxXLeZCBgWbPTc8T6sDDtnBQR6XscGcQ2VNaSGmigqL4cZn8DSo7nK77Hqdx7gI+0RsaxvL4mx05LAhTGcN7k1pqD1DU2H7E+LEw7J0VE+h5HBrG1FR6mmW2k2GYYfiJ89r/IbqjiitRXeXFddW93TxIkOCLm4CAWw9TkhzuCC/WjjYhp56SISN/jyCC2ZqeHz2R+HPyidBaMOR1Gn8a/pz/HG2u39mrfJHE8Dj1nMiyWqckPd3rIc6cyelD2Ma9p56SISN/jyCC2tsLLPPc2GDAasgcFG8+8mbxALWcceIoy/SByJE+937GlK+BwfbT2Ftuv3ulh+vACUlKil2kZV5SjNWIiIn2I44KY1+dn296DTPBvhtKI8mTDTqBh/Hlc5foHr/9rQ9sPkH7JWovX1+ToETF3mousdFeb500eamzmo+raqOvDwsYX57D3YCMH2hlVExGRnuO4ILauwkupqSHLvx+Gzz7iNff8m3EbP0Uf3t1LvZNEqW9qwd9iHXvOZFiwun70ELVul5eAhRlR1oeFhXdOqp6YiEjf4LggtqbCwwmmLPhF6VEF+weNpWzYhSxoXMKOco2KOYnTjzcKK8xu+7zJ9hbqh4V3TmqdmIhI3+C8ILbTw2nZ2yEtG4omH/N6wYL/JEAKvld+1vOdk4TxOPx4o7DCrPQ2pyZX7zzAyIFZFGa3/WcQ3jlZrhExEZE+wXFBbG2Fl1muMhh2AriOPUpzSOkoXsy+gHF7lkD1+l7ooSSCtz45RsTaOm/SWsuHOzztrg8D7ZwUEelrHBXEdtc24Kn1Utq4DYa3fY543czrqbOZ+F66uQd7J4nkTZKpyQFZaVHXiFV5G9hT19jutGSYdk6KiPQdjgpia3ZGFHI9en1YhDNmjGdx83lkbn8VPnmnB3soiRJeI+bkyvoQHBGrbWimuSVwRHt4fdiMER0HMe2cFBHpO5wVxCo8zHSVB78ond3mdcMHZLGy+GL2pQyEV/8LdP5kvxeuNl/g+DVioVpiviPXia3eeYD01BQmDsnr8BnaOSki0nc4KoitrfAGK+oPGA3ZA9u99oxpI7mj8QLY+T58tKSHeiiJ4vE1kZ6agjvNUf+kjxFeiH90UdcPd3iYOiyf9NSOv3/tnBQR6Tsc81PLWsuanQeYYj9qd1oybMGUEp5qOQ1P1qfgtVsg0NIDvZRE8db7KchMw5joFeWdInzMUeTOSX9LgHW7vDGtDwPtnBQR6UscE8S276snv7GS3OYDxxRyjWbUoGzGlxTyQNrlULMJ1j7ZA72URHH6gd9h0c6b3FxVR2NzIKb1YaCdkyIifYljgtiane0Ucm3DOVOGcPfu4/AXTYdlv4DmxgT2UBLJ42ty/PowCBZ0hSOnJlfvPAC0X8j1aNo5KSLSNzgniFV4mJ26FdtGIddoFkwtAQzLhl8L3p3wwQOJ7aQkjKfeT34SjYhFTk1+uMPD4NwMhhVkxvwc7ZwUEekbHBPE1lZ4OSl9G6aNQq7RjC3KYXxxDg9UfgpGnwZv/BL2b0toPyUxvD6/48+ZBMhKd5HuSjkiQK3e6eH44QWdWh+nnZMiIn2DI4KYvyVA+a49jGxpv5BrNAumlLBi+372nX47YOCJr0Cjfjj1N8myRswYc8R5k576JrbtPRTz+rCw8aEgpnViIiK9yxFBbMvuOia0lOOyLTGvDws7Z2oJ1sKSXW64+KHgwv1nr1VtsX6kwd+Cz99CQZbz14jBkedNrt7Z8UHf0QzNd2vnpIhIH+CIILZmp5cTUsIL9TveMRlpfHEOowdns2R9FYw5Az53C2x8Ft76TQJ6KolQmyRV9cMKIo45+nCHhxQD00o7F8S0c1JEpG9wRBBbW+HhxLSt2AFjOizkejRjDOdMKeG9bfvZd7ARTroepl4Mr90KW15JUI8lnjxJcs5k2IDswwd/r97pYXxxLjkZsa2LjDReOydFRHqdI4LY6h0HOCGlDNPJ0bCwBVOH0BKwLN24G4yBL9wFQ6bA01fB3vI491biLVmONworyErHU+/HWsvqnZ5Orw8LG6edkyIiva7fBzFfUwsNNdvID3hiKuQazeSSPEYMyOIf66qCDelZcOn/BXdfPvFv0FAbxx5LvIVraiXLiFhhVnCx/taaQ3h9/k6vDwvTzkkRkd7X74PYhkov09kS/KKTC/XDjDEsmDqEd7fuO1wos2AEXPww7CuHZ66GQCA+HZa48yTZGrHCrHQCFt4sqwFgxojCLj1HOydFRHpfvw9iq3d6OCGljEBaVsyFXKM5Z0oJzeHpybBRn4GzfgEf/QOW3x6H3koieOuTa41YuKjrPzfvIScjlTGDc7r0HO2cFBE50tOrKvjKn94nEOi5ygn9PoitrfAyJ20bKcNmxlzINZpppfkMK8hkyfrqI1848Vsw/d/g9dtg8z+62VtJBI+vCVeK6dKC9f4ofMzR+9v2M314Pq6Urh10rp2TIiKH1dQ18l/PbeCt8r1squ65JUn9Poht3rmb8XZ7pwu5Hs0YwzlTh/BmWQ21Df7IF+Dc38LQE+Bvi2DP5u51WOLOUx+sqt+ZyvL9WXhErKkl0OX1YWHaOSkiEnT7S5vx+VsAeKd8X4+9b78OYp76JgoOrMdF5wu5RrNgagn+Fstrm3Yf+UKaGy75X0jLDC7e93m6/V4SPx5fcpwzGVYYUbh2xvCurQ8L085JERH4144D/GVVBVedMprRg7N5e+veHnvvfh3E1lR0vZBrNMeXFlCS7+Yfa6uPfTF/GHz5MfB8EixrEWjp9vtJfHjrk+OcybDIIHZ8F0tXhGnnpIgku5aA5eZnN1Ccl8G3zxjLvDGDWPHxfpqae2aTXr8OYmtDC/VbCkd3upBrNCkphrOnDGF5WQ11kdOTYZ86CRbcDuVL4Y1fdfv9JD48vqakOd4IINediivFMHxAJoNyMrr1LO2cFJFk9+QHO1m3y8tPPj+Z7IxU5o0dSH1TC2sqemb2q18HsTU7DzA7tRzXiBPj9sxzppbQ1Bzgn5v3RL9g1teDi/eX/xp2rojb+0rXeZJsRCwlxTA4J4OZXSxbEUk7J0UkmR041MTtL2/mxFED+MK0EgDmjh6IMfB2ec9MT/brILa3YguF1huXacmwmSMKKcrNYMm6KNOTEFy8v+BXkFcKz3wLmg7F7b2la7z1ybVGDOBPC2fx43Mmdfs52jkpIsnsf5Z+RF1DM/99/nGtG74KstKZMjS/xxbs99sg5m8J8Kn6DcEv4hjEUlIMC6YMYdlHezjU2Bz9InceXLgY9n8Mr/xn3N5bOs/fEqCusTlpjjcKmzIsn6I8d1yepZ2TIpKM1u/y8vj7O7jypE8xcUjeEa+dPHYgH+48QH1TGzkgjvptEPM1tQTXh6V2r5BrNAumltDYHOD1j2ravmjkp+Gk62DlA1D2alzfX2JXm2QHfieCdk6KSCJtrKzlv57bwLtb9/VoodT2BAKWnz67noHZ6Xzns+OPeX3emEH4WywrPt6f8L702yBW729hpqsculnINZrZIwcwKCedF9dXtX/hGf8JgyfBs9dBfeL/suRYHgWxbtPOSRFJlIoD9Sx8aAUPv7Ody/74Hp/59TJ+s3QLn+zr3WU9z3y4i3/t8HDj2ROjHo83e+QA0l0pvLM18dOT/TaINTT6mWQ+wTWi+/XDjuZKMZx13BCWbd6Dr6mdMhVpbvjiH6B+H/zje2D7RtJPJp765DpnMhG0c1JEEqG2wc/XH/6ABn8Lz10/jzsvPZ5Rg7K5+59lnPrr1/nyfe/y1Ac7OdjWMqAE9uu2JZuZMaKAL51QGvWazHQXJ3yqoEcW7PfbIIa/HheBuBRyjeacqSXUN7XwxpZ2picBSqbDaTfBhmdg/dMJ6Yu0zesLTqclU/mKeNPOSRGJN39LgOse/xfbag5x31dmMq20gPOPH8Zj3ziRd246gx+ePYG9hxr54dNrmf2zV/nek6t5u3xvj0xd3vlqGfsONXLLeVNIaeeIuHljBrGxqpb9CV620W+DmNs2BD+J40L9SCeOGkBhVhovrutgehJg3neC/fjH98C7KyH9kejCI2LJVL4i3rRzUkTiyVrLf/59PW+W7eUXX5zKvLGDjni9JD+Ta08by2vfO5W/XXsyF54wjKWbdnP5n97nlNuXcftLm9lcXYtNwCzTlt11wWnSOSOYWprf7rUnjx2EtfBugqcnOwxixpgHjTF7jDHro7z2fWOMNcYMCn1tjDF3GWPKjTFrjTEnRFy70BhTFvpYGNE+0xizLnTPXSbGAwOzTCNN+aPiUsg1mlRXCmcdN4TXNu2mwd9BFX1XKlz4B2jxB9eLBXqmGq9EBDGtEesW7ZwUkXhZ/MZWnvhgJ9efPpYvzxre5nXGGE4YUcgvLpzKBz/5LHdfNoOxRTn8Yfk2zv7dm8z/7XLueq2MbTXx+f8ma4ML9HPdqfxg/oQOr59emk9ORmrCjzuKZUTsYeDsoxuNMcOBzwE7IpoXAONCH4uAxaFrBwA3AycCc4CbjTHhapSLQ9eG7zvmvaLJooHUT8WvkGs050wt4VBTC2+WxfCXMHAMzP8ZbFsGH/wpof2Swzw+P8ZArltBrDu0c1JE4uH5NZXc/tJHnDd9KP8x/9jdiG1xp7n4wvShPPL1Obz/4zO59YIpFGan89tXt3DG/7zBuXe/yR/e2ErFgfou9+2FtVW8t20/358/gcLsjpezpLpSOHHUAN5J8DqxDoOYtXY5EG1L4G+BHwKRY4fnA4/aoPeAAmNMCXAWsNRau99aewBYCpwdei3PWvuuDY5BPgpcEEvHU2khZXhi1oeFnTRmIPmZaSyJZXoSglX3x34Wlv4U9pYltG8S5K1vIs+dhqudeX7pmHZOikh3rdy+n//4yxpmjyzk9oumEeME1zEG5WRwxdxP8dS3TuLdm87kP8+dTGpKCrct2cynf7WML977Ng+9/TF7ahtifuahxmZ+/o9NHDc0j8vmjIj5vpPHDmL7vnp2eXxd+VZi0qW6D8aY84Bd1to1R/1BDwN2RnxdEWprr70iSntb77uI4OgZM0tSIMFBLM2VwvzJxby0oZrG5hYyUl3t32AMnPd7WHxSsOr+11+Je2kNOZLH59eOyTiI3Dk5Z9SAXu6NiPQ32/ce4puPrmRovps/XDELd1oHPy9jNCTfzTc+PYpvfHoUO/bV88K6Sp5fU8V/P7+RW17YyND8TIrzMijOc0d8ZDAkz01Rnpsh+W5yMlL5/bJyqmsbuOfyGZ36xX3e2ODyp7fL97Y7zdodnU4Jxpgs4CfA/GgvR2mzXWiPylp7P3A/wMxhaZbB3T/ipSPnTC3hL6sqeKd8H6dPLOr4hrwS+Pxv4K9fgzf/B067MeF9TGaeer/Wh8WBdk6KSFcdONTE1x7+AICHvjaHATFM+3XFiIFZXHvaWK49bSzle+pYsq6aj/ceYnddA1t21/FW2V7qopTCyE530dAc4EsnlDLzU537RXNCcS6DctJ5py8FMWAMMAoIj4aVAv8yxswhOKIV2dNSoDLUftpR7a+H2kujXN+h5pTMHhltOnnsQHLdqby4riq2IAYw5Yuw+R/wxq9g3Odg2Akd3yNdohGx+NDOSRHpisbmFr712Cp2HfDx+DdPZNSg7B5537FFuXz7zNxj2g81NrO7toHq2gb21DZSXdvA7toGDjU2c+PZEzv9PsYYThoziLe37sNa2+Xp1vZ0OslYa9cBrYnEGLMdmGWt3WuMeQ643hjzBMGF+V5rbZUx5mXgFxEL9OcDP7LW7jfG1Blj5gLvA1cCd8fSD78rs7Nd75KMVBefm1TMKxt384uWAGmuGCt+fP4O+OSd4BTlojcgPSuxHU1S3vomRgzQn208jC/KYVl7x3qJiESw1vLDv65lxfb93HXZDGaP7P1lDdkZqYwenMPowTlxe+a8MQN5fk0l5XsOtq6njadYylf8GXgXmGCMqTDGfKOdy18EtgHlwB+BawGstfuBW4EPQh+3hNoArgH+FLpnK7Aklo43peV1fFGcLJhagtfn79xRB5mFcME9sHcLPPx58Ozo+B7pNK/PrxpicaKdkyLSGb9duoVnV1fyg7MmcN70ob3dnYQJ10FLVJX9WHZNXmatLbHWpllrS621Dxz1+khr7d7Q59Zae521doy1dqq1dmXEdQ9aa8eGPh6KaF9prZ0Suud6G2MFt2aXO/bvsptOGTeInIzU2HdPho05A778WHAH5R8+o8PB4ywQsMEgpjVicaGdkyISi5aA5bYlm7jrn+VcMms41542pre7lFDDB2QxfEAmbyeosGu/razfk9xpLs6cVMTLG6ppbulksdbJ58Gi1yF3KDx+ESy7DQIdFIiVmNQ1NhOwOmcyXsYVBYfyy/ZonZiIRFfX4Oebj67kD29s4ytzR/CzC6ckZN1UXzNvzCDe27av8xkgBv02iA3MzujR91swpYQD9X7e/zhaSbUODBoLV70K0y+FN34ZDGSHEn+iu9N5W6vq65zJeBian0lWuosyVdgXkSi27z3Ehfe+w/ItNdx6wRR+dsHU2NdN93Mnjx1EXUMz6ytr4/7sfvsn2NMB/LQJg8lKd8V29mQ06VlwwWI493ew/a3gVGXFqvh2Msl4wgd+a0QsLlJSDOOKcjQiJiLHeLt8L+ff8zZ7Dzby6DfmcMXcT/V2l3rUyWMO1xOLt34bxHqaO83F6ROD05MtXT0d3hiY9TX4+stgUuDBs2DFHyEBB5smA50zGX9ji3I1IiYiray1PPLOdq58cAXFeRk8d92nOXnMoI5vdJhBORlMHJKrINbbzplSwt6DTXywvQvTk5GGnQDfegNGnwYvfh/+tgiaDsWji0nF41MQi7dxxTnsqWtsnfYVkeTV1Bzgx8+s5+bnNnD6hME8fc3JjBiYvOWC5o0dxMpPDtDgj+86bwWxTjh94mDcaSmd3z0ZTdYA+Len4PT/B+v+An88U+dTdpK3Pjg1mZ+pNWLxMr44uGC/vEbTkyLJbN/BRr7ywPv8ecUOrj1tDPdfMYtcd3L/0jtv7ECamgOs+uRAXJ+rINYJWempnD6hiCXrqwl0dXoyUkoKnPoDuOJvcGgP3H8arHmy+89NEuGpSe2ajJ9xReEzJzU9KZKsNlXVcv49b7Nmp4c7Lz2eH549kZROnM/oVHNGDSQ1xcR9elJBrJMWTC1hT10jq3bEMRGPOQO+tRyGTIVnFsEz10CjfhB2xOPzk53uIj1V/4zjZVhBJplp2jkpkqxe3bibLy1+B39LgKe+dRLnHz+st7vUZ+RkpDJ9eEHc64npJ1gnnTGxiPTUFO5ZVs7BKIeLdll+KSx8AU69Edb8Ge4/FarWxO/5DhQ88FvTkvGUkmIYq52TIknpwKEmvv3nDxkzOIfnrv8004cX9HaX+px5YwayrsKD1xe/dbQKYp2Uk5HKD8+awPItNXz+rjdZvdMTv4e7L7vixwAAIABJREFUUuH0H8PC54OL9//0WXhvsXZVtsHra9K0ZAKMK8rRiJhIEnrsvU/w+Vu44+LpFOf13Ok1/cnJYwcRsPD+tviNiimIdcFVp4zmyW+dRHOL5aLF73DPsvKul7SIZtQpcPXbwSnLl26CP1+mArBRBEfEFMTibWxxDtW1DdQ2aOekSLJo8LfwyDvbOW3CYCYMif/B1k4xY0QB7rSUzp093QEFsS6aPXIAL95wCmdNGcKvX/6Ir/zpfaq8vvi9QfZAuOwJOPtXsPU1uG8efPxm/J7vAB6dM5kQ4QX75TpzUiRpPP2vCvYdamLRZ0b3dlf6tIxUF7NHDojrgn0FsW7Iz0zj95fN4PaLprGmwsOCO9/kpfXV8XsDY2Du1cHjkdKy4JEvwD9/Di1xXJvWj3nq/SpdkQDhEhZlu7VOTCQZBAKWP735MVOH5XPS6IG93Z0+b97YQZTtOcie2oa4PE9BrJuMMXx51nBe+PanGV6YxdX/u4ofP7MOX1McC76VTA/uqpx+GSy/HR45F/ZsSupAZq3F62vSiFgClBZmkZGaonViIkli6abdfLz3EIs+MzopDvDurnmhkwXiNT2ZGpenCKMH5/D0NSfzP698xB+Wb+P9bfu467IZHDc0Pz5vkJEDFy4OVuP/x/fg3rlgXJA3FApGQP5wKBge8fmI4E7M1J49HL2n1De14G+xOmcyAVwphjGDcyjT1KRIUrh/+TZKCzNZMGVIb3el91kLgZbg5rk2TB6aR35mGm+V7+WCGd0v76EgFkfpqSn86JxJnDJuMN97ajUX3vMONy6YyNfnjYzfbxnTL4FPnQRbl4F3J3h2gGdn8CDxukqwgYiLDeQOgU9/F078Vnzev4/Q8UaJNb44hxUfd/MoLxHp81Z9sp9Vnxzgv74wmVSXJslYfgesehi+uz64PCgKV4rhpNEDead8L9babv98VxBLgE+PG8SSG07hxqfXcusLGznU2My/nzkufm9QMAJmLjy2vcUPtbuCwcyzIxjUPn4TlvwQ0nNgxuXx60Mv8+h4o4QaV5zL31dXUtfgT/pjTUSc7A9vbKMgK40vzx7e213pfYf2wlu//f/t3Xd4lFX2wPHvnfQ26QlJSEIgCSX0GkAFlGZBFLCgIAqKddWfrn1dXVfXuuqqKysKVkQQBBULglSlRDqhd5JQkgApJKTO+/vjTiBCKpnJTOB8nifPJG/eeeeGIZMz9557DpQWQOEx8Km+uXnf+GB+3nKE/ccKiQvxadDDSvhrJ8G+Hnx4W3eu6xzJf37dxdoDjTC74OIGgS10+Ysut0L/J3X7pJb94bu/wM75tnmcbfPgm7sdWlKjoim1zIjZR3yYTtjfkyXN6IW4UO3NOsmCbUcZmxyLt7vMy5wOwkBPatSgT7wO0myxe1ICMTtSSvHP69oTFeDFg9M32LQSb525esBNX+j2STPHQVpKw673x0cwYwxs+gqmDoYT+20yzPqSpUn7SgzXJSxk56QQF64Pl+/DzcXEbb1bOHoojpd/RP99C0vSX+cdrvH0liE+RPh7smKPBGJOz8/Tjf/c3JkjeUU8M2czhiOq5Hv4wa2zwBwB026AzO31v4ZhwOKX4YdHIXEojJ2jp3GnDHZIK6aKht8BsjRpF9GBXri7miRhX4gLVFZ+MbPXpTOya3NC/S7MTV31svxNnd5z9Rv661pmxJRS3HVpS/olhjb4oSUQawRdYgJ5ZFAi8zYd5uu16Y4ZhG8ojPkGXNzhixGQW49xWMr1Ts2lr0CXMXqGrdXlMH4+mNzg46tgzyL7jb0KOad0jpjMiNmHq4uJliE+MiMmxAXqs5X7KS23cNelcY4eiuPlpsPaj3VKT3QvXZEg71Ctdxt/SRw39Yhp8MNLINZI7unXiuSWQTz/3Rb2ZjloliEoDsbMhqI8+GIkFNYhb620CL6+HdZM1bsvr33vzLbesDZw5wKdlzbtBtg4w56j/5PcwlI8XE14urk02mNebBLC/WRGTIgLUGFJGZ+vOsCgtuG0DPV19HAcb9nr+vayx8HkoqsN1CEQsxUJxBqJi0nx9k1dcHc18dBXGygps9R+J3uI6Aijv4Tje3UPy5LC6s8tyoVpo2DbdzDkZRj4/Lnbec2RcMePENMb5kyE395ulCbl0mfS/hLDfEk/cYqC4ou3cLAQF6KZf6SRU1jK3f2knRHH98H6L6DrOF2LE8AvQpeDaiQSiDWiZv6evDayI5szcnnjlx2OG0jcZTDiQ0hbDbPGV12hP/8ofHI1HFwJIz6C3vdVfz1Pfz3T1n4kLHwOfnpCL2faUc6pEskPs7OE8IqdkzIrJsSFoqzcwke/7aNbbCDdYoMcPRzHW/Y6mFzh0kfPHDNHyozYhWxwUjPGJMcwedlelu3MctxAkq7TSYk7f4J5D/15Fuv4Xr0j8theuGUGdLyh9uu5elgDtgcg5QOYdYde1rSTnMJS/GVGzK7iwyp2TkogJsSF4qfUI6SfOCXNvQGyd8PG6dB9gt7MVsEcJYHYhe5vV7cjMdyXR2ZuJPtkseMG0uNO6PeEnpZd9E997PBGvROyKA/GfQ/xA+t+PZMJhrwEg1+Crd/C59fDqRN2GXruqVJpb2RnLYK9cXNR7MyUhH0hLgSGYTB52V5ahvgwqG24o4fjeEtfAVdPnf9cmTkSSk7qv4ONQAIxB/B0c+Gd0V3IKyrlsa83OqakRYX+T0G322H5v2HeI/Dx1fo/5oRfoHm387tmnwdg5BTIWANTh9Zvh2Yd5RSW4i+BmF3pnZO+7JYZMSEuCCv3HmNzRi53XtoSk+kib+6duQ02z4KeE3VVgcrMkfq2kWbFJBBzkDbNzPzt6rYs3pHFJyv2O24gSsHVb0Kba2DNFJ2sOOEXCGlgS6YOo3TeWN4h+GIUlJXYZrxWOadKJFm/EcSHS/NvIS4Uk5ftJcTXnRFdG96ouslb8rJu/df3oXO/dzoQq7mWmK1IIOZAY5NjGdg2jJd/3M7WQ40zBVolk4uewRr2jt4BWfGfsKHiLoORH0HWNljxjm2uCRSVllNUaiHAW5L17S0hzJe0E4WcKrHv5gshhH3tOJLPkh1ZjOvdQsr+HN6k02eS7wXvKjYsyIzYxUMpxWujOhHg7cZfpq9z7B87N0/dSNwr0LbXTRwC7YbrnSnH9tjkkhWtomRp0v4Sw/0wDNk5KURT9+HyvXi5uTAmOdbRQ3G8JS/r3f6976/6+37WxP38mtsc2YoEYg4W5OPOWzd1Zm92AX//NpXCkguwZtPQV3UF/h8etUmNsRxp+N1oEqzNv3dJwr4QTdaR3CK+3ZDBTT2iCfS5yFcSMtbCjh+h91/AK6Dqc1w9wDtEliYvJn3jQ7i3Xyu+XptO5xcWMHbKaqb8to89WScdm8jfABaLwb7sAuZtOsSWk94w8DnYu1gnRzZQZr4uiyF1xOwvNtgHV5OSEhZCNFGb03N5ZOYGyi0GEy6RdkYs/hd4BUHyPTWf14i1xFwb5VFErR4b0ppL4kNYvCOTxTuy+Oe8rfxzHsQEedO/dSgDWoeR3DIYL3fnW9svtwZdqRm5pGbksjkjl62H8si3VmR3c1G8ecNQhkVNh/lPQfwVVa/L18HuzHwen7UJP09XWjfzs+WPIarg7moiLsSHnRKICdFkGIbByj3HeH/JHn7bnY2fpyvPXtOO6CBvRw/NsQ6ugt0LYeA/wKOWvx/mKLvs+K+KBGJOQilFn/gQ+sSH8MzVkHa8kCU7s1i6I5Ov16Tz2coDuLuaSG4ZzIDWofRLDCUuxAd1dsshOystt7An6yRbMvLYnJHLlkO5bDmUR6E1v83D1UTbCDPXdYmifZSZxHA/Xv5xOw/O2ITR7zGuPXQrLHwerq1/8v6m9BzGTU3BxWRixsTehPp52PinE1VJCPd17GYSIUSdWCwGv2w9yqSle9iYlkOonwdPXdmGW3rF4OcpqRwsehF8QqHnXbWfa47Q3WcagQRiTio6yJuxybGMTY6lqLScP/YfZ/H2LJbszOQf328FIMLfk77xIfSND6ZvqxDCzJ42HUNhSRnbDuez1RpsbTmUx46j+af7ZHq5uZAUaebG7tG0j/KnfZSZ+FBfXF3+vOL92YSe/GX6eh5ccpSIlqPpse5T6DQaYnvXeSwr9mRz16drCPRx54sJvWgR4mPTn1VULz7Mj59Tj1BUWi67rYRwQiVlFr7dkMH/lu5hT1YBscHe/Ov6DozoGiW/sxX2LYP9y3XfZPc6/P0wR8Kp41B6Cty87Do0CcSaAE83Fy5NCOXShFD+TjsOHitk+e4sft+dzcJtR5m1Vk+fJoT50jc+hD6tgkluFYy5Du+AisvKOVFQyvGCEjLzi9h+JN8adOWyL7vgdG59gLcbSZFmbu/TgnYRZpIizbQM9cWlDkUBPd1cmHRrV56Zk8ptay5nhd8CAr5/GHXPcnCtPc/rly1HeGD6emKDvPl8Qi+a+ds24BQ1Swz3xWLdOZkU6e/o4QghrApLypieksZHy/dyOLeIthFm3h3dhSvbNzvnDfFFzTBg0UvgFwndx9ftPmZrrbW8QxDcyn5jQwKxJikm2Jtbg2O5tVcsFovB1sN5/L47m9/3HOOrPw7yyYr9mBR0bB5A3/hgfD3cOF5QzPGCUn1bqG9PFJRysvjcXZpRAV60izRzbadIkiL9SYo0E+Hv2aBlUFcXE6+M7ECInzuPLh3L1NI3KP3tP7j1f6zG+81em87jszfRPsqfT27vITt+HCDB2nNyd6YEYkI4i1+2HOGJ2Zs4UVhKz7ggXh7RgX6JoY2eruLUSgog9RtY+7HeLXn1v3WpprqoqCWWf1gCMVEzk0lZlwX9ubtfK4rLyll/MEcHZruz+d/SvZRbDDxcTQT7uBPk606gtztxwd4E+rgT7ON++jbIx4PEcF+7FUpVSvHYkDZ87DuGH35exqAlr5GfeC1+ka2rPH/qb/t4Yd5W+sYHM3lsd3w85L+rI7QI8cZFdk4K4TQ+XbGf57/fQocofz4a145usee3+emCdXSrDr42fgXFeRDaBq56A7rVcTYM9OwZNMrOSfnLdoHxcHUhuWUwyS2DeXRw69N1ybzdneepvqNvHPNNr1Hy85XsnDqR6L/8TJj/mTV4wzB4a+Eu3vl1F0OTmvGf0Z3xcJU8B0fxcHUhNtibnUellpgQjmSxGLzy83YmL9vLoHbhvHNzF6fcSe8Qpad0tfw1H0PaKnBxh3bX6aXImGTdzq8+zNairo1QS8x5/joLu3CmAKyyIb27sOvY43Rb8w/+8d9XuW3iY8SF+GCxGPzj+y18uvIAN3Zvzr+u7yC5Dk4gMcxPAjEhHKiotJy/fr2ReZsOc1vvWJ4bllSnHN0LXtZOWPsJbJgGRTkQ1AoGvwidbgGf4PO/rocfePjLjJi4sCVc9RAFB77lgaypjHq/I2/ePoBPV+xn7oZD3HVpHE9f1VbyHZxEQrgvv2w9QnFZucxOCtHIcgpLmPj5WlL2HeepK9sw8bKW8tp4Mgvm3gu7F4DJFdoOg2536B7Htvq3MUc0SiBW61SDUmqqUipTKZVa6djrSqntSqlNSqk5SqmASt97Sim1Wym1Qyk1pNLxodZju5VST1Y6HqeUWq2U2qWUmqGUkmzsi4XJBZ8R7xKkTvKw+pLr31/B3A2HeGxIawnCnEx8mN45uTeroN73/X7jIQ4cq//9hBC6puTISSvYcDCHd0Z34e5+reS18UgqfHg57P8NLn8WHtkGN3wCLfvZLgiDRquuX5c1n0+AoWcdWwC0NwyjI7ATeApAKdUOuBlIst7nfaWUi1LKBfgvcCXQDhhtPRfgVeAtwzASgBPAhAb9RKJpieiI6n0fw8sXMDH2KK+M6MD9A+LlhcbJJIbrnZO7MuuXsL85PZe/TF/PozM3Ntl2XUI4SmpGLiMmrSArv5jPJvTk2k6Rjh6S4+34CaYOAUsp3PEjXPZX8A2zz2M5SyBmGMYy4PhZx34xDKOi7sEqoLn18+HAV4ZhFBuGsQ/YDfS0fuw2DGOvYRglwFfAcKX/2l4OVDQg/BS4roE/k2hq+j8F/tE8bfmAm7s2c/RoRBXiQnwwKdhdzzyxtxbuRClYc+AEi3dk2ml0Qlx4Fu/I5MYPVuLuYmL2vX1IbtmAfKcLgWHA7/+B6aMhJAHuWgRRXe37mOYoOHkUykvt+jC2yIIeD/xk/TwKSKv0vXTrseqOBwM5lYK6iuPiYuLuo7cWZ22HBX8HmTlxOp5uLsQG+9RrRmxDWg6Ltmfy8BWJxAZ78/r8nVgs8twKUZuvUg5y56driAvxYc59fUgIv8j76pYVw7f3678P7YbD7T+eqfNlT34RgKGDMTtqUCCmlHoGKAOmVRyq4jTjPI5X93gTlVJrlFJrsrKy6jtc4cxaD4Ve98DqSbD8344ejahCQphvvXZOvrVgJ4Hebky4NI5HBiWy7XAe32+y/zS/EE2VYRi8uWAnT36zmUviQ5hxd2+bt65rcgqy4bPheldkvydh1Mfg3kjNyytX17ej8941qZQaB1wDXGGcSf5IB6IrndYcqPgJqjqeDQQopVyts2KVzz+HYRiTgckA3bt3l7fWF5ohL8OpE7Don+AVAD3ubLzHPr4XlrwCBVkQ0hpCKz7agLcUSwS9c/LX7ZmUlFlwd635PdzaAydYujOLJ69sg6+HK8M6RvK/pXt5c8FOruoQgZuUJBHiHDPXpPHOr7u4oVtz/jWig/yeHN0K02+Ck5kwaiq0H9m4j18x62bnWmLnFYgppYYCTwD9DMMorPSt74AvlVJvApFAApCCnvlKUErFARnohP5bDMMwlFKLgVHovLFxwLfn+8OIJs5kguH/haJc+OGv4BkAHUbZ9zFPnYClr0PKZF0AMLgVHFwFpZX+W3uH6IAsNFHfhiTqDw8/vW3a5KJvlcm2O3acTEKYH+UWg/3HCk4n71fn7YU7CfZx57besYDuAPHYkETGf7KGGX+kMSY5tjGGLESTseNIPs99t4VL4kN4ZWRHqRG2cz7MGg/uvjopP6pb44/hdCB22K4PU2sgppSaDvQHQpRS6cBz6F2SHsAC6+62VYZh3GMYxhal1ExgK3rJ8n7DMMqt13kAmA+4AFMNw9hifYgngK+UUi8C64EpNvz5RFPj4qa3IX8xEubcDR5mSBxs+8cpK4E/PoKlr+rAr8sYuPxv4NcMLBbITYPsnZC1Q+euZe+E1Nn63Jooa1B2OkBz0XkGN34OIfG2/zkaUXyYLwA7j+bXGIit2X+c5buyefqqNn8qKDygdRg9WgTyzq+7GNm1uVQEF8KqsKSM+79ch5+nG2/d1LlpBmEWC5SdgpJC/Ua24qOkUFe9Ly/RS4puPjov2N1bB1lu3vrDZJ39MwxY+R788ixEdISbp4O/g1LHvQLB1dPxM2KGYYyu4nC1wZJhGC8BL1Vx/EfgxyqO70XvqhRCc/OC0dPh02Ew8zYYOwdie9vm2oYB2+fppM/je6HlAF2FuVn7M+eYTBAYqz8SBv35viczdWB2bLd+cbGUgVEOlnL9uaWs0ufW29TZ8NUtcOdC8DTb5udwgPgwX5Si1p6Tby3cSYivB2OTW/zpuFKKx4e24Yb/reSTFfu5t799G+kK0VQ8O3cLe7JOMm1CL0L9PBw9nKqVFUP2LsjcCke3QOY2yN4BRXn6tbDsVMOuXxGQuXrowKfdcLhukg7aHEWpRilhIZX1hXPy9Icx38DUofDlTXD7PP3uqCEy1sEvf4MDv+s8sFtnQfzAui8nKgV+4fqjZb+6P2674TrZ9JuJcPOXZ975NTGebi7EBHmzu4adk6v3HuP33cf429Vtq5zx6tEiiMvbhDFpyW5u6RmDv7ebPYcshNObtTad2evSeeiKBPrEhzh6OHpmK+eANeDaqm8zt+o3nxZrgQOTm07PiOqmZ43cvPRMl5uXDpzcvM4EVhXHTK46YCspgNICfVtSYJ01O+vriE7Q617neK00R0G+g5cmhXAYnxA9GzZ1KHwxAsbP1zlc9ZWbDr++AJtm6Hyvq9+EruPApZH++8ddCkNfhp8ehyUvw+XPNM7j2kFtOyffWriTUD+PGnPA/jq4NVe9s5wPlu3h8aFt7DFMIZqEXUfzeXZuKr1bBvPgFQmOHo5uG/TpMMjaduZYQCyEJ0GbqyGsnf48OF6nkVwM/CJ0E3E7kkBMOLeAaLhtrq6k/Nl1MP7nuuULlBTC3sWw/UdInaWXFS/5P7jkEccsD/acCIc3wbLXoFkHaHdt44/BBhLC/ViyI4vScss5O7pW7Mlm1d7jPDesHZ5u1ed/tYs0c22nSD7+fT+392kh2/PFRelUSTn3f7kOHw8X/nOzE+SFFZ+EL2+AE/t1XcfILnrnuMdFXsPMHKmT9S0Wu83QOcG8nxC1CEmAMbP1DsfPr4eCY1WfV3AM1k+D6bfAay11Xta276H9KPjLGhj4vONytJSCa96EqO4w5x6dY9EEJYT5UmYxzukdaRgGby/YRbjZg9E9Y2q9ziODEiktt/Duot32GqoQTu3577awK/Mkb93U2fFvRspKYOZY/Wbxhk+g513QvLsEYaCXJi2lUJhtt4eQQEw0DZFd4Jav9Lu1aaOg2Lo8dnwvrHgPpl4Jb8TDt/fB4Q3QdSyMnQuP7Ybr/gsBtQcHdufqATd9oV/cvroFCo/Xfh8nkxCmX5h3npWw//vuY6TsP879A+JrnA2r0CLEh5t6RDM95SAHjxXWer4QF5K56zOYsSaN+/vHc2lCqGMHY7HoqvV7FsG17+ji2uKM0yUs7JewL4GYaDpaXAI3fgqHN8LHV8H7veGdLvDLM1CcB5c9BhOXwv9tgateh1YDwNXd0aP+M3OEDsbyDsGsO6C8rPb7NITFAjt+hlM5NrlcVTsnDcPgrYU7ifD35KYe0TXc+88evCIBVxfFWwt32mRsQjQFe7JO8vSczfRsEcTDA50gL2zh32HzTLj8WV3GR/yZOULfSiAmhFXrK/WW5uyd4B0MQ1+BhzbCvb/DgKchsrPzF1WN7qE3DOxdAgufs+9jrZmiK1O/10OX0WhgH08vdxeaB3qxK/NMwv6yXdmsPXCC+wfE4+Fa99pg4WZPbu8Tx9wNGWw/ktegcQnRFBSVlnP/tHV4uJr4z+jOuDq6cv6K92DFuzqH9dJHHTsWZ3W6zZH9aolJICaank43wTNHdEmL5HshsIWjR1R/XcfqF7+V78HGr+zzGLnpsPB5iO6lp9dnjdfLuif2N+iyCWF+p0tYGIbBWwt2EhXgxY3d6z4bVuHefq3w9XDljfk7GjQmIRrb4dxTfLshg33ZBRh1fIPzwrytbD+Sz5s3dSbC38vOI6zFppl6NaHddfoNrbO/gXUUn1BdesOOJSxk16Romi6EF40h/9J1er570FqTp6vtrm0YMO8RMCwwYjL4R0PKh7qP53+Tof8T0PuB89qCnhDmy2+7sikrt7B8VzYb0nJ4eUSHWvtPVsXf2417+rXi9fk7WHvgON1ipa+ncH5FpeXc8fEfbD+iZ4aDfNzpGhNAl5hAusYE0ina/09dJQC+33iIL1cf5O5+LRnQOswRwz5j968w915ocSlc/4HuACKqZnIB32Z2XZqUQEwIR3Fx0zlvk/vDjDEwcQn42ugFOnU27Jqvg72KGcPke6DtMF3PbOHzsOlrGPY2RNevsUVCuB8l5Rb2HyvkrYU7aR7oxahuzc97qHf0bcHHv+/n1Z93MGNiMupCCLLFBe3FH/TM1msjO1JuGKw9cIJ1B0+wcFsmAC4mRdsIP7paA7MIf0+e+mYz3WID+evg1o4dfMY6mDEWQtvCzdPATcrH1MocadelSQnEhHAknxD9YjhliH5xHPd9wzcYFBzTwVZUN+h1z5+/5x+lH2/7D/DjYzBlMHS/A654DrwC6nT5BGvPycnL9rApPZfXRnY8p6ZYfXi7u/LgFfH8/dstLN2ZRX9HzxYIUYOfNh/mi1UHufuyltxo3ZxSUbLlREEJG9JyTgdms9em89nKAwD4e7nxzuguDfpdabBje2DaDeATDGNm6Q4monbmSDiaarfLSyAmhKNFdILh78HsCfDjozDsnYYtvc5/Sjcnv/bd6pcc2lwNcZfB4pdh9SQdmA19GZJG1PrYFc2/Z65JJybIm+u71lBg1zB08/bWV0LS9dWednOPGD5cvpfXft7BZQmhmBxd3FKIKqQdL+Tx2ZvoFB3Ao1XMbAX6uDOgTRgD2ug3E+UWgx1H8lmfdoIOUf5EBTgwLyz/qO5QggFj5oBfM8eNpakxR8GuBfr1zA4z9pKsL4Qz6DBK71pa9xnMf/r8dzfuWqhbOV3yiG5FUhMPPxj6L7hrsW7jMWu8XiK1lNd4Nx8P19N/UB68IqHmd/i5aXo83z5Q4yYBd1cTjwxKZOvhPL5MOVjzuIVwgNJyCw9+tR4MePfmLnXKiXQxKdpFmrm1Vywdm9dtxtkuivL0Rp2TmXDL1xAS77ixNEXmCN0fsyjXLpeXQEwIZ3H5s7rR7ar3dXPy+gZjxfkw72Hd0Pyyv9b9fpGd4a5F0Pdh2D6vTlX/O0X70yrUh+s6R9Z8YlqKvi0rhrn367pm1RjeKYpLE0J46Ydt7M2qvrG4EI7w7192sv5gDq+M7EhMsLdtL24p130ej6TCvuW2K/acvRsW/B3e664bd9/4GTTvZptrX0zsXNRVliaFcBZK6eVBS5kua2Fy1W2Z6joV/us/dcmK8fN1Ff/6MLlAjwnw+9twcBVEdKzx9NdHdaLMYtReByltNbj76k0D3z+ol0F731/1EEyK10d1Ysjby/i/mRuZdU9vx+bTCKdmGEajbexYtjOL/y3dw+ieMVzdMaL+F8jeBRlr9YxUQaYOuk4ehYIsfawwW+9wrqBcILaPTiFofRUExtb9sUoKYMtcWP85HFypr5UwWP/exV1a/7GLM7XE8g9BeDubX14CMSGciVLYSpNMAAAgAElEQVS6K4BRroMik4ueKavtD05aCqRM1j3iYnqd32P7R4NfJKStgl4TazzVx6OOLx1pq/Wmga63wY6fYOE/IH6gbiZchWb+nvzr+g7c/+U63lu0m/8blFjfn0JcJJ76ZjM7j+bzvzHd7NqrMTO/iEdmbqB1uB/PDavnH+HyMv17vMT6BgvA1RN8wvQO6YAY/fvhG2Y9FqpTBg6sgO0/ws9P6o/w9meCsohO574eGIYO9NZ9BqnfQEk+BLXSb+Q6jZZ8sIbys291fQnEhHA2SsFV/9bLFcv/DSY3GPBU9eeXFescLHMUXPH3hj1uTDIcXH3+16is+KRearn0UX3tYf+B95N18v6EBdXWMLu6YwS/bovivcW76dc6lK4xgbYZj7hgGIbBgq1HOVZQwohJK/h0fE9ahfra/HEsFoP/m7GBk8VlfHlXcp36qJ52fC98czekp+hNMP2f0gGRh1/tb6ziB+rf5eN7dUC2/QdY9josfRXMzaHNVTooC2urS9Ws+xyytoGbty7Q2nUsxPS+MOotOgM7B2Iy7y+EMzKZ4Jq3de+3pa/A0teqP3f5m5C9Q9cE8/Br2OPGJENeOuSkNew6AIfW6Zm9aOsMnV84XPMWHFqvx1yD54cn0czsyf/N2EBBsZ37cYom53BuEccKSri5RzRFpeWMnLSCtQdO2PxxJi3dw++7j/H8sCQSw+v4u2UYsPYTmHSJ/r0cOQVu+BhCE8HTXL/gKKgl9HkAxv8Ef90Fw9/XOZ3rPofPr4N/t9abe9y99evFozvg+kl6WVOCMNtxddczlnaqJSaBmBDOymSCYe9Cp1tg8Uuw7I1zz8ncpmfNOtwICYMa/pgxyfo2zQazYhXXaN79zLGk66DDDbDsNR2QVcPs6cZbN3Xm4PFCXvxha8PHIi4oqRl699qNPaKZfW8fArzcuOXDVfyy5YjNHmPN/uO8uWAnwzpF1r2Z/clMmH4zfP+Q/n9/7wq9I9oWfEKgy626DuDje+Hm6Tpt4d6VerNN9zt0oCfswxwJefZpcySBmBDOzGTSNcY63qTbE/329pnvWcr1kqSnWfeKs4WwJJ1cf3Blw6+VlqKrd59dKPaq13X/tjn3QGlRtXfvGRfE3Ze1YnpKGgu2Hm34eIRNpWbkklNY4rDHdjEp2kWYiQ32Yfa9fWgTYeaeL9YybfWBBl8/p7CEB6evJyrAi5eub1+3TQHb5sH7vWHPYv37OHYu+J9/x4kauXvr5cnL/mqX5HFRBXOkLE0KcdEyucB1k6D9KFj4HKx4Vx9PmQwZa2Doq7pSti24uOp38g3NE7NYdCBWVfskr0C49j3I2g6LX6zxMo8MSqRdhJknZ28iK7+4YWMSNjNt9QGGvfcbd3zyB2Xl1ZcksZfUQ3nEh/qeztkK9vVg+l296N86jGfmpPLvX3bUuRH32QzD4PFZm8g6Wcy7o7tg9qylH2txPnx7P8y4Vf+xvnsZJN+r30SJC4cd2xzJ/xQhmgKTi27Om3S9rjG28Hn49QW9Ld1WSx8VYnpD5paGFS88tguKcs7kh50tYSB0uwNWvKd3iFXD3dXE2zd3Jr+4jCdnbzrvP67CdiYt2cMzc1JJDPNj/cEcJi/f2+hj2JyRS/uoP7fn8XZ3ZfLYbtzcI5p3F+3m8VmbKD2PIPHzVQf4ZetRnhjahk7RtRRhPbASJvWFDV/qTSl3/gphber9mKIJMEfq17SSQptfWgIxIZoKF1cY8SG0vRZ+ewuUCa5+0/ZJudG9dE2j9D/O/xoV+WHVBWIAg1/U9ZHm3qt3WFYjMdyPJ4e24dftmUxPscEmAnFeDMPg1Z+38+rP27m2UyTzHryEqzo0460FO9l+JK/RxnE0r4is/GLaR52bD+XqYuLlER14eGACX69N585P19S62aO03MLm9Fw+W7mf/5uxgRfnbWNA61DG942r/k6HN8Lc++DjK/Xv3x0/6V2ODe0TK5yXn7Woa77t88SkfIUQTYmLG4yaqmfEYpIhoI5JxPXRvLsO8g6u1tvoz0faavAKguBW1Z/j4auXXD++Ss/yDXu72lNv79OCRdsz+ee8rfRuFUxciM/5jUucF4vF4NlvU5m2+iC39orhheHtcTEp/jm8PSn7jvPIjI3Mvb9vndr+NFRFon6HqKobViuleHhgIuFmT56Zs5nRH65i6u09CPHVRY6P5hWx/uAJ1h/MYd3BE2xKz6W4TM+chfp5MDgpnH9cm3Ruv9PyUtj2HayerGvtuXlDr7vh8r81fLeycH6nq+tn1Py6dh4kEBOiqXFxgyEv2e/6Hn7QrEPDEvbTUvRsWG2zdbF99Pb8Fe9Cm2v0kmUVTCbFGzdYq+7P2MCse3rXXtVf2ERpuYVHZ27ku42HuLd/Kx4f0vp08nqwrwcvXd+Buz9fy3uLdvFIFY2wbW1zRi5KQduImncIju4ZQ5ifB/d/uY4R76+gQ5Q/6w+e4FCu3iDi7mIiKUr3gewSE0CXmACiArzOTcw/manLUayZqmdDAlvoThGdbz13I4q4cFVU17dDwr4EYkKIc0Un6xYp5aXVFl6tVuFxyN4JnW6u2/kD/qablX/3ANy3UifzV6GZvycvXd+eB75cz3uLd/PwQKm6b29FpeXcN20di7Zn8sTQNtzb/9yZgCFJzRjRNYr/LtnDFW3Da8+raqDUjDxahfrWqbvDFW3DmX5XMg98uZ6N6Tl0axHEndE66GoXacbDtYYCrRlrYfUHsGUOlJdAqyt0UeL4QZKIfzEy26+oqwRiQohzxSRDygdwZDNEda3ffStyy2rKD6vMzROu/x98dAX88CgMekH3xzO56H6byqQ/Vy5c0y6YRZ2b8e6iXfRLDKWLVN23m/yiUu78dA0p+4/z0vXtubVX9f0OnxuWxIrdx3j0643M+8sl9atAX0+pGbkktwyq8/ldYgL57YkBdStBUVpkXX78QO9IdveFbrdDz4kQknD+gxZNn7sPePpLICaEaCQVhV0Prqp/IJa2WgdSkfW4X2RnuOxxWPIv3bKlBm8Cb7pD/lRvimO649GiF0R117ltPiH1G6uo0vGCEsZNTWHb4TzevqkzwztH1Xi+v5cbr43qyG1TU3hzwU6evqqtXcaVlV/Mkbyic3ZM1qbWIOzwJj0DvGmm3hkXHA9Xvqb7NEqRVFHBHCWBmBCikZgjwT9GJyX3vq9+901LgYiOuuhkfVz2VwhPglPHdbFaS5nevXn683L9uWHh8Il8lq7fRtf0PSSk/Y4yyvU1AuN0QNa8h74N7yA72erpSG4RY6asJu14IZNv68blbcLrdL/LEkO5tVcMHy7fy6B24fRoUfdZq7pKPVRzon69nDoBm2fpRtlHNoGLB7S9BrqMhbh+svwozmWnWmISiAkhqhaTDPuW6t55dS2RUV6qc2u63lb/xzO56D+EdRABJHQ5wcipKYR7lTPtak/C8zbrZdF9y2Hz1/pEFw+I6KQ3BSQM1gVm65vzdhHZn13AmCmrySks5dPxPUluWb9CwU9f1ZZlu7J4dOZGfnro0jrlcdVHaroOxNqzG+Y+CyeP6tmr4Hi9dBicoP9YVvf/1WKB/ct0r8Zt30N5sd6YcuXruh6ft+2DR3EBMUfqdA0bk0BMCFG1mF6weSac2A9BNdRUquxoKpQWVl1R38a6xQby5V3JjJmymuvmGUy7cwIt+z6kA8e8DEhfowOz9D9g5Xvw+9vg4Q+tBuigLH6gbkQuAEjZd5x7vliLYRhMvyuZDs3rP+vk4+HK66M6MfrDVbzy03b+eV172w2wrBifHbP42Xs2Pp/t0vlbQXG6qGppwZnz3HwgJF4HZSEJOkgLiNGthzZ8ATkHda5P19ug61gdqAtRF36RehdtWYlNZ9olEBNCVC2mt75NW133QCwtRd/WNVG/gTo092f6XcmMnbKamyav4ss7e5EQ7qd7/Pk3103GAYryYO8S2PUL7FoAW+fq4xGddFCWMBiiuulZueoYBpQU6I4DxXl6uTQs6YJYwvp6TRpPz9lMdKA3U27v0aA6bcktgxnfN44pv+1jcFI4lyaENmxwuRm6dMTaTxhfmM1R92i44nW9K9fTbA28D+luDtm74NhufZuWYs03rNSNIa4fXPGcLpXi5tmwcYmLjzkSMODkER3c24hqqi1DunfvbqxZs8bRwxDiwmWxwKstoP31ett+XcwarxP8H9lq16GdbdfRfG75aDXlFoMvJvSiXWQNCdaGoZcXdi/QQVnaap2L5hUILQfo3VFFuVV/VOSiVTBH6bZTHW7QQZ2tuxzYWbnF4LWft/PBsr1cEh/Cf2/pir93w5dui0rLueqd5ZwqKWf+/11We7/GsxmGbn2V8oFupm1YKIkfwvitXbhsyCgm9ouv23VKT8GxPXBin16CDGxR759FiNN2LYRpI2H8L3rFoJ6UUmsNw+h+9nGZERNCVM1kguge9WsAXl2jbztLCPdj5t29ueXDVYz+cBWfT+hJx+bV1LNSSm8miOio+wOeOgF7FukX2X1LdVDm6a8/fMP08lbF157+4GHWt2VFsNVa6mDle3oJrMMNujl7SB0DBQcqKC7joa82sHDbUcYmx/L3Ye1wq2uR3KJcOLoFwtpVWdTU082FN2/szIj3f+eF77fyxg11XP4rL4UN0yDlQ73M7RmgN4v0uJNVWT78lprCfVH1qFPm5gXN2usPIRrqdC0x2ybsSyAmhKheTDIselEXaa0tkTk3A3LToPf9jTO2s8SF+DDz7t6M/nAVt364mk/G96RbbB3qjHkFcjDiShbkdGVF7nhu69OCfol1XE7rfIv+t9n2nd6Bt+QVWPIyRHS2BmUjzrRGcSIZOaeY8Mkf7Mo8yQvDk7itd4vqTy4p1LsKD62HjHVwaJ1e/gNIGgE3fFzl3TpHB3Bf/3jeW7ybIUnNGNSuDvl4i1/SfVTD28Owd/S/oXX3bepG/ZhJttgxKcT5ON3myLYlLCQQE0JUL9paTyz9D0gcUvO56RX5YY0/I1YhOsj79MzY2CmrmXp7jyp3/lksBhvTc1i47SgLt2ay42g+AD7uLvy+J5tpdybXLYgDHaB2u11/5B2C1G8gdRb88ozuodniEv1vFxAL/lHgHw3eIfbNLSs+CTkH9EaLE/t1grGrJ7h7czBfMTXlCEkWd14flESHZmmQcUwnubt7Q+GxMwHXoQ2Que3MkqxfJER20flZWTv0z5qTVm3P0wevSGDhtqM89c1muscGEuhTQ4Jz8Un4Y6puan/jZ+cs86Zm5BIb7I2/l+x6FQ7iGaB7jEogJoRoNFHddHX7g6tqD8TSUsDVC5p1bJyxVSMywEsHYx+t5vaPU/joth5ckhBCUWk5v+/O1sHXtkyy8otxMSl6tAjk2WvaMbBtGD4eroyatIIJn/7BrHt6Ex9Wz2bO5kjdO7PPA5C9WyeLb/5aB2SVubjr/LKKTQWVP/cwW7sJmPStcqnUXaDia2uQknfoTLB1Yv+Z4Ksg68+PZ3IDSykAMcDzFceXWj+q4hWkg67WV+rivJFdzizNAOSm60As5QMY/GKVl3B3NfH6qE4Me+835m7I4I6+NWz62DANinOhz4NV5tptzsilY32WJYWwNaX073i+BGJCiMbi7q2T0A+uqv3ctNW6Cr8T1OkKM3vy1cRkxny0mvGf/sEl8SGs3HOMU6Xl+Hq40q91KIPahtO/dSgB3n+epflsfC9GTFrBbVNS+Oa+vjTzP8/ddSHx0P8J6Pe4Xr7MS7cu36ZbP7d+vW+5biZ99kaA+lAuOogLbAGtr9K3lT4sHgG8uWAHU5dspW+MN28Mj8fftVSXGikp0EntpQV6GdLDVwddAbE1bz7wbw7thsPaz6DfE7pZfBU6NPcnIcyX+VuOVB+IWcph1fvQvKfOSzxLbmEpacdPcUvP6tssCdEo/CJkRkwI0ciik2HNFCgrBlePqs8pPQWHN0KfvzTu2GoQ4uvBVxOTufeLdew4ks8N3ZszsG04yS2DcXetflkwJtibT+7owc2TVzFuagoz7+7dsJ2ESoFPsP6ormZVeZkuTpqbDiUn9YaBiq4ChgWMckrKytifmc/ezHz2ZeWSdryQLBVEjkcUp7wi8PX2wE+5YS5yw5zjil+RG+YTrpi9Cli0bR8/bznCzT0SeGF4+xp//nrpfT9s+QbWT4Pke6o9bUhSM95fspvjBSUEVbU8ueMnPZM38Pkq719RUb99lLQbEg5mjoIDv9v0khKICSFqFpMMq/6rA63q8r8Ordd1tRqpflhdBXi7M31icr3v1z7Kn8ljuzHu4xTu+mwNn03oaddG1ri4WvPHzvR0PFlcxtoDJ1i99xgp+46zMT2H0nJPlAqlbTMzXbsEEGUy4XeqlLyiUvJOlZF2vJD8ojLyTpWSX1x2+lpKwd+ubsuES+Lq1vy6rpp318/56knQ865q67ANSWrGe4t3s3DrUW7sUUU+2cr/6pZabYZVef/UDGsgFimJ+sLBzJF6BttisVmepwRiQoiaVW4AXl0glmYtcdHccYn6ttYnPoQ3b+zMg1+t56Gv1vP+rd1wMdmnTlhhSRn7swvZm32SDQdzSNl/nNSMXCwGuJoU7aP8GX9JHL3igugWG1SnhPVyi8HJYh2UebiaCDPbqYBp8n3w9Tg9q1VNi6r2UWaiAryYv+XIuYFYxjo4uAKG/EsHpFXYnJFLVIBXzcn+QjQGc6R+01mQZbPOHBKICSFq5hsGQS3PBFtVSUvRdbR86teb0NkN6xRJ9sli/vH9Vp79NpWXrmt/3jNKpeUW0o4Xsi+7gH3ZBezNLmBflv78SF7R6fPcXU10iQ7ggQHx9IwLpktMwHn1bHQxKfy93Oy/y7DNNXo2a9X71QZiSikGJ4UzbfVBThaX4Vv551n1Prj76Wbb1dhyKM82jb6FaKjTJSwyGi8QU0pNBa4BMg3DaG89FgTMAFoA+4EbDcM4ofQr1H+Aq4BC4HbDMNZZ7zMOqNg69KJhGJ9aj3cDPgG8gB+Bh4ymWu5fiAtVdLJuD1RVA3DD0IFYbbsqm6g7+saRmV/MpCV7CPPz4OGBiXW6n8VisObACeasT2flnmOknThFueXMS1ugtxtxIT70jQ+hZagPLYJ9iAvxoVWYDx6udlwGtTUXV+h1ty7XcWi9TvSvwpCkZnz8+36W7sji6o7W3Ze5GbBlDvS8W7crqkJeUSn7sgsY1a25vX4CIequci2xqK42uWRd3mZ9ArwHfFbp2JPAr4ZhvKKUetL69RPAlUCC9aMXMAnoZQ3cngO6oxt/rVVKfWcYxgnrOROBVehAbCjwU8N/NCGEzcT0go1f6nYxZ1eNP74XCrMdWj/M3h4f0pqs/GLeXriLUD8Pbu1V/e69fdkFzFmXzjfrM0g/cQpvdxcuTQjhmo6RxIX4EBfqQ1ywz4W1zNZ1rC5mu/J9GPlhlaf0aBFEkI8787ccOROIpUzWmxF63V3tpbceygMgqaa2VUI0FrM1jzP/sM0uWWsgZhjGMqVUi7MODwf6Wz//FFiCDsSGA59ZZ7RWKaUClFIR1nMXGIZxHEAptQAYqpRaApgNw1hpPf4ZcB0SiAnhXCoagB9ceW4g1siNvh1BKcXLIzpwvKCEZ+emEuLrwZCkZqe/f6KghHmbDjF7XQYb0nIwKegbH8KjgxMZktQMb/cLPAvE018HYymTYdA/quwm4GJSDGobzg+bD1NcVo5H+SlY+zG0HQaB1Qe2pxP1ZWlSOAPvEF2Xz4Ztjs731SHcMIzDAIZhHFZKhVmPRwFplc5Ltx6r6Xh6FcerpJSaiJ49IybGdp3PhRC1CE7QTbHTVuk/uJWlrQYPfwhp7ZixNRI3FxP/vaUrt3y0ir9MX8/UcT04WVzK7HUZLNmRSWm5QZtmfjx9VRuGd44i3F7J8c6q192w+n86GBv4fJWnDGkfzow1aazYc4wBOXN1z8reD9R42c0ZuUT4exLiW03pFCEak8lk81pitn6bVlUWq3Eex6tkGMZkYDJA9+7dJY9MiMZiMukZr6oagKel6CKc9mzZ4yS83F2YOq4Ho/63gjFT9L9FqJ8Ht/dpwfVdmtPuYl4+C2wBba6GNR/DZY+Bu885p/RpFYKPuwsLUjMYkDEJorrXuqSdmpErs2HCuZgjbRqIne8r51HrkiPW20zr8XSg8t7k5sChWo43r+K4EMLZxCTDsV1QkH3mWFEuZG69oJclzxbo485nE3px5yVxfDq+JyufvJxnrm53cQdhFXo/AEU5sHF6ld/2dHOhf5swirf8qHMLa2kQf7K4jL3ZBVI/TDgXs21nxM43EPsOGGf9fBzwbaXjtyktGci1LmHOBwYrpQKVUoHAYGC+9Xv5Sqlk647L2ypdSwjhTCoagFcuY5G+BjAu6ET9qkQFePG3a9rRLzEUV5cLfyawzqJ76b6UqybpgpdVGJLUjBvKvqfYJ1I3+K7BtsN5GAZ0aC5BrnAi5igdiNmowEOtryBKqenASqC1UipdKTUBeAUYpJTaBQyyfg161+NeYDfwIXAfgDVJ/5/AH9aPFyoS94F7gY+s99mDJOoL4Zwiu+hm1QdXnjmWlqIbUUd1c9y4hPNQSs9yHduty51U4Qr/DJJN21gWOLLaAq4VNqdLor5wQuZIKDsFp07Y5HJ12TU5uppvXVHFuQZQ5VyzYRhTgalVHF8DtK9tHEIIB3Pz1MFY5TyxtNUQnlRtw2dxEWo3HBb8XbfFaj30nG/7rJ3MKeXFG9m9GGgYNRbITT2US5ifB2F+F9nGB+HcKnYF5x8G76AGX07m1IUQdRfdSxftLD2lG1Knr7mo8sNEHbi4Qc+JsG8ZHNn85+/lHYIt33AwdiQ7ckxsPZxX46VSM3Klor5wPn6VirragARiQoi6i+kNllIdjGVug5J8CcTEubqNAzdvnStWmbWAa+jAhzApmL/laLWXKCwpY3fmSZIkEBPOpnKbIxuQQEwIUXcVQdfBVWeS9i+yRH1RB16B0PlW2Pw15FuDrZICXdqizTUENU+ke2wQv2w5Uu0lth3Ox2IgM2LC+fg1A5TMiAkhHMAnGEISdRCWlgK+4RBQfVV0cRFLvhfKS+GPj/TXG77UpS2sBVyHtG/G9iP57M8uqPLuZyrqy45J4WRc3PRrnwRiQgiHiO6lZ8QOrtSzYTUkW4uLWHAraH0lrJmiZ8NWTdK7a60zqIPbhQMwv5pZsdSMXEJ83Wl2sXUoEE2DDWuJSSAmhKifmGQ9s5FzQPLDRM2S74PCY/DNRDi+R5e2sAbu0UHeJEWaqw3ENmfkkhTpX+OuSiEcpqKWmA1IICaEqJ+KBuAggZioWYtLoFkH2D4PzM2h7fA/fXtIUjPWHcwhM6/oT8eLSsvZlXlS8sOE8zJHQr4EYkIIRwhqCd4hurhrRCdHj0Y4M6XONPXudfc5BVyHJDUD4Jetf949uf1IPuUWQwq5CuflF6FbvBWfbPClbN30WwhxoVMK2l4DJ7PA1cPRoxHOrsMNYHKFtsPO+VZiuC9xIT7M33KEMclnNn1slkR94ezMUfo2/zB4JDToUhKICSHqb9h/HD0C0VSYXKDDqCq/pZRicFI4U5bvI7ewFH9vNwC2ZOQS6O1GVIBXY45UiLqrXEsspGGBmCxNCiGEcJghSc0osxgs2nFmeXJzRi7toyRRXzix04HY4QZfSgIxIYQQDtO5eQBhfh7MT9WBWHFZOTuP5kt+mHBuNqyuL4GYEEIIhzGZ9PLk0p1ZFJWWs/PISUrLDdpHSiAmnJibl+4gYYMSFhKICSGEcKihSRGcKi1n2c4sUg/pRH0pXSGcnjlKJ+s3kCTrCyGEcKheLYPw93Lj5y1H8HRzwezpSnSQJOoLJ9ftdj0z1kASiAkhhHAoNxcTV7QJ49dtmUQFeEmivmgaet5lk8vI0qQQQgiHG5zUjNxTpWw9nCfLkuKiIoGYEEIIh+uXGIqnm/6TlCSBmLiISCAmhBDC4bzcXeiXGApIor64uEiOmBBCCKdw16Ut8fdyIzbI29FDEaLRSCAmhBDCKXRvEUT3FkGOHoYQjUqWJoUQQgghHEQCMSGEEEIIB5FATAghhBDCQSQQE0IIIYRwEAnEhBBCCCEcRAIxIYQQQggHkUBMCCGEEMJBJBATQgghhHAQCcSEEEIIIRxEAjEhhBBCCAeRQEwIIYQQwkEkEBNCCCGEcBAJxIQQQgghHEQCMSGEEEIIB5FATAghhBDCQSQQE0IIIYRwEAnEhBBCCCEcRAIxIYQQQggHUYZhOHoM50UplQUccPQ4LmIhQLajByHqTJ6vpkOeq6ZDnqumxdHPV6xhGKFnH2yygZhwLKXUGsMwujt6HKJu5PlqOuS5ajrkuWpanPX5kqVJIYQQQggHkUBMCCGEEMJBJBAT52uyowcg6kWer6ZDnqumQ56rpsUpny/JERNCCCGEcBCZERNCCCGEcBAJxEStlFJTlVKZSqnUSseClFILlFK7rLeBjhyj0JRS0UqpxUqpbUqpLUqph6zH5flyMkopT6VUilJqo/W5+of1eJxSarX1uZqhlHJ39FiFppRyUUqtV0rNs34tz5WTUkrtV0ptVkptUEqtsR5zytdBCcREXXwCDD3r2JPAr4ZhJAC/Wr8WjlcGPGoYRlsgGbhfKdUOeb6cUTFwuWEYnYDOwFClVDLwKvCW9bk6AUxw4BjFnz0EbKv0tTxXzm2AYRidK5WscMrXQQnERK0Mw1gGHD/r8HDgU+vnnwLXNeqgRJUMwzhsGMY66+f56D8aUcjz5XQM7aT1SzfrhwFcDsyyHpfnykkopZoDVwMfWb9WyHPV1Djl66AEYuJ8hRuGcRj0H38gzMHjEWdRSrUAugCrkefLKVmXujYAmcACYA+QYxhGmfWUdHQgLRzvbeBxwGL9Ohh5rpyZAfyilFqrlJpoPeaUr4Oujh6AEML2lFK+wGzgYcMw8vSbd+FsDMMoBzorpQKAOUDbqk5r3HjzxkEAAAGhSURBVFGJsymlrgEyDcNYq5TqX3G4ilPluXIefQ3DOKSUCgMWKKW2O3pA1ZEZMXG+jiqlIgCst5kOHo+wUkq5oYOwaYZhfGM9LM+XEzMMIwdYgs7rC1BKVbxJbg4cctS4xGl9gWuVUvuBr9BLkm8jz5XTMgzjkPU2E/0mpydO+joogZg4X98B46yfjwO+deBYhJU1b2UKsM0wjDcrfUueLyejlAq1zoShlPICBqJz+hYDo6ynyXPlBAzDeMowjOaGYbQAbgYWGYZxK/JcOSWllI9Syq/ic2AwkIqTvg5KQVdRK6XUdKA/unP9UeA5YC4wE4gBDgI3GIZxdkK/aGRKqUuA5cBmzuSyPI3OE5Pny4kopTqiE4Zd0G+KZxqG8YJSqiV61iUIWA+MMQyj2HEjFZVZlyb/ahjGNfJcOSfr8zLH+qUr8KVhGC8ppYJxwtdBCcSEEEIIIRxEliaFEEIIIRxEAjEhhBBCCAeRQEwIIYQQwkEkEBNCCCGEcBAJxIQQQgghHEQCMSGEEEIIB5FATAghhBDCQSQQE0IIIYRwkP8Hra9PuMZwhIEAAAAASUVORK5CYII=\n",
- "text/plain": [
- "<Figure size 720x576 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "deaths_headlines[['total_2020', 'previous_mean']].plot(figsize=(10, 8))"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 111,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<matplotlib.axes._subplots.AxesSubplot at 0x7f9b5d211050>"
- ]
- },
- "execution_count": 111,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 432x288 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "deaths_headlines_i.plot()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 137,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 720x720 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "# Radar plot code taken from example at https://stackoverflow.com/questions/42878485/getting-matplotlib-radar-plot-with-pandas#\n",
- "\n",
- "dhna = deaths_headlines.dropna()\n",
- "\n",
- "fig = plt.figure(figsize=(10, 10))\n",
- "ax = fig.add_subplot(111, projection=\"polar\")\n",
- "\n",
- "theta = np.roll(\n",
- " np.flip(\n",
- " np.arange(len(dhna))/float(len(dhna))*2.*np.pi),\n",
- " 14)\n",
- "# l15, = ax.plot(theta, deaths_headlines['total_2015'], color=\"#b56363\", label=\"2015\") # 0\n",
- "# l16, = ax.plot(theta, deaths_headlines['total_2016'], color=\"#a4b563\", label=\"2016\") # 72\n",
- "# l17, = ax.plot(theta, deaths_headlines['total_2017'], color=\"#63b584\", label=\"2017\") # 144\n",
- "# l18, = ax.plot(theta, deaths_headlines['total_2018'], color=\"#6384b5\", label=\"2018\") # 216\n",
- "# l19, = ax.plot(theta, deaths_headlines['total_2019'], color=\"#a4635b\", label=\"2019\") # 288\n",
- "l15, = ax.plot(theta, dhna['total_2015'], color=\"#e47d7d\", label=\"2015\") # 0\n",
- "l16, = ax.plot(theta, dhna['total_2016'], color=\"#afc169\", label=\"2016\") # 72 , d0e47d\n",
- "l17, = ax.plot(theta, dhna['total_2017'], color=\"#7de4a6\", label=\"2017\") # 144\n",
- "l18, = ax.plot(theta, dhna['total_2018'], color=\"#7da6e4\", label=\"2018\") # 216\n",
- "l19, = ax.plot(theta, dhna['total_2019'], color=\"#d07de4\", label=\"2019\") # 288\n",
- "\n",
- "lmean, = ax.plot(theta, dhna['previous_mean'], color=\"black\", linestyle='dashed', label=\"mean\")\n",
- "\n",
- "l20, = ax.plot(theta, dhna['total_2020'], color=\"red\", label=\"2020\")\n",
- "\n",
- "# deaths_headlines.total_2019.plot(ax=ax)\n",
- "\n",
- "def _closeline(line):\n",
- " x, y = line.get_data()\n",
- " x = np.concatenate((x, [x[0]]))\n",
- " y = np.concatenate((y, [y[0]]))\n",
- " line.set_data(x, y)\n",
- "\n",
- "[_closeline(l) for l in [l19, l18, l17, l16, l15, lmean]]\n",
- "\n",
- "\n",
- "ax.set_xticks(theta)\n",
- "ax.set_xticklabels(dhna.index)\n",
- "plt.legend()\n",
- "plt.title(\"Deaths by week over years, all UK\")\n",
- "plt.savefig('deaths-radar.png')\n",
- "plt.show()"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "Collapsed": "false"
- },
- "source": [
- "# Excess deaths calculation"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 113,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# raw_data_2020.loc[12, 'Week ended']"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 114,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "Timestamp('2020-03-20 00:00:00')"
- ]
- },
- "execution_count": 114,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "eng_xls.loc[12, 'Week ended']"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 115,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# raw_data_2020.iloc[-1]['Week ended']"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 116,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "53"
- ]
- },
- "execution_count": 116,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "deaths_headlines_e.total_2020.dropna().last_valid_index()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 117,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "Timestamp('2021-01-01 00:00:00')"
- ]
- },
- "execution_count": 117,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "eng_xls.loc[deaths_headlines_e.total_2020.dropna().last_valid_index(), 'Week ended']"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 118,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "Timestamp('2020-07-03 00:00:00')"
- ]
- },
- "execution_count": 118,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "eng_xls.loc[27, 'Week ended']"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 119,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# raw_data_2020.loc[12].droplevel(1)['Week ended']"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 120,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# raw_data_2020.iloc[-1].droplevel(1)['Week ended']"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 121,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "86082.0"
- ]
- },
- "execution_count": 121,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "(deaths_headlines.loc[12:].total_2020 - deaths_headlines.loc[12:].previous_mean).sum()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 122,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "64733.6"
- ]
- },
- "execution_count": 122,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "(deaths_headlines.loc[12:27].total_2020 - deaths_headlines.loc[12:27].previous_mean).sum()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 123,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "618343.6"
- ]
- },
- "execution_count": 123,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "deaths_headlines.previous_mean.sum()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 124,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# excess_death_data = {\n",
- "# 'start_date': str(eng_xls.loc[12, 'Week ended']),\n",
- "# 'end_date': str(eng_xls.loc[deaths_headlines_e.total_2020.dropna().last_valid_index(), 'Week ended']),\n",
- "# 'excess_deaths': (deaths_headlines.loc[12:].total_2020 - deaths_headlines.loc[12:].previous_mean).sum()\n",
- "# }\n",
- "\n",
- "# with open('excess_deaths.json', 'w') as f:\n",
- "# json.dump(excess_death_data, f)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 125,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# excess_death_data = {\n",
- "# 'start_date': str(eng_xls.loc[12, 'Week ended']),\n",
- "# 'end_date': str(eng_xls.loc[27, 'Week ended']),\n",
- "# 'excess_deaths': (deaths_headlines.loc[12:27].total_2020 - deaths_headlines.loc[12:27].previous_mean).sum()\n",
- "# }\n",
- "\n",
- "# with open('excess_deaths.json', 'w') as f:\n",
- "# json.dump(excess_death_data, f)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 126,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# excess_death_data = {\n",
- "# 'start_date': str(raw_data_2020.loc[12].droplevel(1)['Week ended']),\n",
- "# 'end_date': str(raw_data_2020.iloc[-1].droplevel(1)['Week ended']),\n",
- "# 'excess_deaths': (deaths_headlines.loc[12:].total_2020 - deaths_headlines.loc[12:].previous_mean).sum()\n",
- "# }\n",
- "\n",
- "# with open('excess_deaths.json', 'w') as f:\n",
- "# json.dump(excess_death_data, f)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 127,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "Week number Week ended\n",
- "1 2020-01-03 00:00:00\n",
- "2 2020-01-10 00:00:00\n",
- "3 2020-01-17 00:00:00\n",
- "4 2020-01-24 00:00:00\n",
- "5 2020-01-31 00:00:00\n",
- "6 2020-02-07 00:00:00\n",
- "7 2020-02-14 00:00:00\n",
- "8 2020-02-21 00:00:00\n",
- "9 2020-02-28 00:00:00\n",
- "10 2020-03-06 00:00:00\n",
- "11 2020-03-13 00:00:00\n",
- "12 2020-03-20 00:00:00\n",
- "13 2020-03-27 00:00:00\n",
- "14 2020-04-03 00:00:00\n",
- "15 2020-04-10 00:00:00\n",
- "16 2020-04-17 00:00:00\n",
- "17 2020-04-24 00:00:00\n",
- "18 2020-05-01 00:00:00\n",
- "19 2020-05-08 00:00:00\n",
- "20 2020-05-15 00:00:00\n",
- "21 2020-05-22 00:00:00\n",
- "22 2020-05-29 00:00:00\n",
- "23 2020-06-05 00:00:00\n",
- "24 2020-06-12 00:00:00\n",
- "25 2020-06-19 00:00:00\n",
- "26 2020-06-26 00:00:00\n",
- "27 2020-07-03 00:00:00\n",
- "28 2020-07-10 00:00:00\n",
- "29 2020-07-17 00:00:00\n",
- "30 2020-07-24 00:00:00\n",
- "31 2020-07-31 00:00:00\n",
- "32 2020-08-07 00:00:00\n",
- "33 2020-08-14 00:00:00\n",
- "34 2020-08-21 00:00:00\n",
- "35 2020-08-28 00:00:00\n",
- "36 2020-09-04 00:00:00\n",
- "37 2020-09-11 00:00:00\n",
- "38 2020-09-18 00:00:00\n",
- "39 2020-09-25 00:00:00\n",
- "40 2020-10-02 00:00:00\n",
- "41 2020-10-09 00:00:00\n",
- "42 2020-10-16 00:00:00\n",
- "43 2020-10-23 00:00:00\n",
- "44 2020-10-30 00:00:00\n",
- "45 2020-11-06 00:00:00\n",
- "46 2020-11-13 00:00:00\n",
- "47 2020-11-20 00:00:00\n",
- "48 2020-11-27 00:00:00\n",
- "49 2020-12-04 00:00:00\n",
- "50 2020-12-11 00:00:00\n",
- "51 2020-12-18 00:00:00\n",
- "52 2020-12-25 00:00:00\n",
- "53 2021-01-01 00:00:00\n",
- "Name: Week ended, dtype: object"
- ]
- },
- "execution_count": 127,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "eng_xls['Week ended']"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 128,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# raw_data_2020.droplevel(1, axis='columns')['Week ended']"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 129,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "deaths_by_week = deaths_headlines.merge(eng_xls['Week ended'], left_index=True, right_index=True)\n",
- "deaths_by_week.rename(columns={'Week ended': 'week_ended'}, inplace=True)\n",
- "deaths_by_week.to_csv('deaths_by_week.csv', header=True, index=False)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 130,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# deaths_by_week = deaths_headlines.merge(raw_data_2020.droplevel(1, axis='columns')['Week ended'], left_index=True, right_index=True)\n",
- "# deaths_by_week.rename(columns={'Week ended': 'week_ended'}, inplace=True)\n",
- "# deaths_by_week.to_csv('deaths_by_week.csv', header=True, index=False)"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "Collapsed": "false"
- },
- "source": [
- "# Plots for UK nations"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 131,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 720x720 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "# Radar plot code taken from example at https://stackoverflow.com/questions/42878485/getting-matplotlib-radar-plot-with-pandas#\n",
- "\n",
- "fig = plt.figure(figsize=(10, 10))\n",
- "ax = fig.add_subplot(111, projection=\"polar\")\n",
- "\n",
- "theta = np.roll(\n",
- " np.flip(\n",
- " np.arange(len(deaths_headlines_e))/float(len(deaths_headlines_e))*2.*np.pi),\n",
- " 14)\n",
- "l15, = ax.plot(theta, deaths_headlines_e['total_2015'], color=\"#e47d7d\", label=\"2015\") # 0\n",
- "l16, = ax.plot(theta, deaths_headlines_e['total_2016'], color=\"#afc169\", label=\"2016\") # 72 , d0e47d\n",
- "l17, = ax.plot(theta, deaths_headlines_e['total_2017'], color=\"#7de4a6\", label=\"2017\") # 144\n",
- "l18, = ax.plot(theta, deaths_headlines_e['total_2018'], color=\"#7da6e4\", label=\"2018\") # 216\n",
- "l19, = ax.plot(theta, deaths_headlines_e['total_2019'], color=\"#d07de4\", label=\"2019\") # 288\n",
- "\n",
- "lmean, = ax.plot(theta, deaths_headlines_e['previous_mean'], color=\"black\", linestyle='dashed', label=\"mean\")\n",
- "\n",
- "l20, = ax.plot(theta, deaths_headlines_e['total_2020'], color=\"red\", label=\"2020\")\n",
- "\n",
- "# deaths_headlines.total_2019.plot(ax=ax)\n",
- "\n",
- "def _closeline(line):\n",
- " x, y = line.get_data()\n",
- " x = np.concatenate((x, [x[0]]))\n",
- " y = np.concatenate((y, [y[0]]))\n",
- " line.set_data(x, y)\n",
- "\n",
- "[_closeline(l) for l in [l19, l18, l17, l16, l15, lmean]]\n",
- "\n",
- "\n",
- "ax.set_xticks(theta)\n",
- "ax.set_xticklabels(deaths_headlines_e.index)\n",
- "plt.legend()\n",
- "plt.title(\"Deaths by week over years, England\")\n",
- "plt.savefig('deaths-radar_england.png')\n",
- "plt.show()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 132,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 720x720 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "# Radar plot code taken from example at https://stackoverflow.com/questions/42878485/getting-matplotlib-radar-plot-with-pandas#\n",
- "\n",
- "fig = plt.figure(figsize=(10, 10))\n",
- "ax = fig.add_subplot(111, projection=\"polar\")\n",
- "\n",
- "theta = np.roll(\n",
- " np.flip(\n",
- " np.arange(len(deaths_headlines_w))/float(len(deaths_headlines_w))*2.*np.pi),\n",
- " 14)\n",
- "l15, = ax.plot(theta, deaths_headlines_w['total_2015'], color=\"#e47d7d\", label=\"2015\") # 0\n",
- "l16, = ax.plot(theta, deaths_headlines_w['total_2016'], color=\"#afc169\", label=\"2016\") # 72 , d0e47d\n",
- "l17, = ax.plot(theta, deaths_headlines_w['total_2017'], color=\"#7de4a6\", label=\"2017\") # 144\n",
- "l18, = ax.plot(theta, deaths_headlines_w['total_2018'], color=\"#7da6e4\", label=\"2018\") # 216\n",
- "l19, = ax.plot(theta, deaths_headlines_w['total_2019'], color=\"#d07de4\", label=\"2019\") # 288\n",
- "\n",
- "lmean, = ax.plot(theta, deaths_headlines_w['previous_mean'], color=\"black\", linestyle='dashed', label=\"mean\")\n",
- "\n",
- "l20, = ax.plot(theta, deaths_headlines_w['total_2020'], color=\"red\", label=\"2020\")\n",
- "\n",
- "\n",
- "def _closeline(line):\n",
- " x, y = line.get_data()\n",
- " x = np.concatenate((x, [x[0]]))\n",
- " y = np.concatenate((y, [y[0]]))\n",
- " line.set_data(x, y)\n",
- "\n",
- "[_closeline(l) for l in [l19, l18, l17, l16, l15, lmean]]\n",
- "\n",
- "\n",
- "ax.set_xticks(theta)\n",
- "ax.set_xticklabels(deaths_headlines_w.index)\n",
- "plt.legend()\n",
- "plt.title(\"Deaths by week over years, Wales\")\n",
- "plt.savefig('deaths-radar_wales.png')\n",
- "plt.show()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 133,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 720x720 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "# Radar plot code taken from example at https://stackoverflow.com/questions/42878485/getting-matplotlib-radar-plot-with-pandas#\n",
- "\n",
- "fig = plt.figure(figsize=(10, 10))\n",
- "ax = fig.add_subplot(111, projection=\"polar\")\n",
- "\n",
- "theta = np.roll(\n",
- " np.flip(\n",
- " np.arange(len(deaths_headlines_s))/float(len(deaths_headlines_s))*2.*np.pi),\n",
- " 14)\n",
- "l15, = ax.plot(theta, deaths_headlines_s['total_2015'], color=\"#e47d7d\", label=\"2015\") # 0\n",
- "l16, = ax.plot(theta, deaths_headlines_s['total_2016'], color=\"#afc169\", label=\"2016\") # 72 , d0e47d\n",
- "l17, = ax.plot(theta, deaths_headlines_s['total_2017'], color=\"#7de4a6\", label=\"2017\") # 144\n",
- "l18, = ax.plot(theta, deaths_headlines_s['total_2018'], color=\"#7da6e4\", label=\"2018\") # 216\n",
- "l19, = ax.plot(theta, deaths_headlines_s['total_2019'], color=\"#d07de4\", label=\"2019\") # 288\n",
- "\n",
- "lmean, = ax.plot(theta, deaths_headlines_s['previous_mean'], color=\"black\", linestyle='dashed', label=\"mean\")\n",
- "\n",
- "l20, = ax.plot(theta, deaths_headlines_s['total_2020'], color=\"red\", label=\"2020\")\n",
- "\n",
- "\n",
- "def _closeline(line):\n",
- " x, y = line.get_data()\n",
- " x = np.concatenate((x, [x[0]]))\n",
- " y = np.concatenate((y, [y[0]]))\n",
- " line.set_data(x, y)\n",
- "\n",
- "[_closeline(l) for l in [l19, l18, l17, l16, l15, lmean]]\n",
- "\n",
- "\n",
- "ax.set_xticks(theta)\n",
- "ax.set_xticklabels(deaths_headlines_s.index)\n",
- "plt.legend()\n",
- "plt.title(\"Deaths by week over years, Scotland\")\n",
- "plt.savefig('deaths-radar_scotland.png')\n",
- "plt.show()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 134,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 720x720 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "# Radar plot code taken from example at https://stackoverflow.com/questions/42878485/getting-matplotlib-radar-plot-with-pandas#\n",
- "\n",
- "fig = plt.figure(figsize=(10, 10))\n",
- "ax = fig.add_subplot(111, projection=\"polar\")\n",
- "\n",
- "theta = np.roll(\n",
- " np.flip(\n",
- " np.arange(len(deaths_headlines_i))/float(len(deaths_headlines_i))*2.*np.pi),\n",
- " 14)\n",
- "l15, = ax.plot(theta, deaths_headlines_i['total_2015'], color=\"#e47d7d\", label=\"2015\") # 0\n",
- "l16, = ax.plot(theta, deaths_headlines_i['total_2016'], color=\"#afc169\", label=\"2016\") # 72 , d0e47d\n",
- "l17, = ax.plot(theta, deaths_headlines_i['total_2017'], color=\"#7de4a6\", label=\"2017\") # 144\n",
- "l18, = ax.plot(theta, deaths_headlines_i['total_2018'], color=\"#7da6e4\", label=\"2018\") # 216\n",
- "l19, = ax.plot(theta, deaths_headlines_i['total_2019'], color=\"#d07de4\", label=\"2019\") # 288\n",
- "\n",
- "lmean, = ax.plot(theta, deaths_headlines_i['previous_mean'], color=\"black\", linestyle='dashed', label=\"mean\")\n",
- "\n",
- "l20, = ax.plot(theta, deaths_headlines_i['total_2020'], color=\"red\", label=\"2020\")\n",
- "\n",
- "\n",
- "def _closeline(line):\n",
- " x, y = line.get_data()\n",
- " x = np.concatenate((x, [x[0]]))\n",
- " y = np.concatenate((y, [y[0]]))\n",
- " line.set_data(x, y)\n",
- "\n",
- "[_closeline(l) for l in [l19, l18, l17, l16, l15, lmean]]\n",
- "\n",
- "\n",
- "ax.set_xticks(theta)\n",
- "ax.set_xticklabels(deaths_headlines_i.index)\n",
- "plt.legend()\n",
- "plt.title(\"Deaths by week over years, Northern Ireland\")\n",
- "plt.savefig('deaths-radar_northern_ireland.png')\n",
- "plt.show()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 135,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# list(raw_data_2020.columns)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 136,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# deaths_headlines_e = raw_data_2020.iloc[:, [1]].copy()\n",
- "# deaths_headlines_e.columns = ['total_2020']\n",
- "# deaths_headlines_w = raw_data_2020['W92000004'].copy()\n",
- "# deaths_headlines_e.columns = ['total_2020']\n",
- "# deaths_headlines_w.columns = ['total_2020']\n",
- "# deaths_headlines_e.total_2020 -= deaths_headlines_w.total_2020\n",
- "# deaths_headlines_e.head()\n",
- "# deaths_headlines_e"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": []
- }
- ],
- "metadata": {
- "jupytext": {
- "formats": "ipynb,md"
- },
- "kernelspec": {
- "display_name": "Python 3",
- "language": "python",
- "name": "python3"
- },
- "language_info": {
- "codemirror_mode": {
- "name": "ipython",
- "version": 3
- },
- "file_extension": ".py",
- "mimetype": "text/x-python",
- "name": "python",
- "nbconvert_exporter": "python",
- "pygments_lexer": "ipython3",
- "version": "3.8.5"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
+++ /dev/null
-{
- "cells": [
- {
- "cell_type": "markdown",
- "metadata": {
- "Collapsed": "false"
- },
- "source": [
- "Data from:\n",
- "\n",
- "* [Office of National Statistics](https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/datasets/weeklyprovisionalfiguresondeathsregisteredinenglandandwales) (Endland and Wales) Weeks start on a Saturday.\n",
- "* [Northern Ireland Statistics and Research Agency](https://www.nisra.gov.uk/publications/weekly-deaths) (Northern Ireland). Weeks start on a Saturday. Note that the week numbers don't match the England and Wales data.\n",
- "* [National Records of Scotland](https://www.nrscotland.gov.uk/statistics-and-data/statistics/statistics-by-theme/vital-events/general-publications/weekly-and-monthly-data-on-births-and-deaths/weekly-data-on-births-and-deaths) (Scotland). Note that Scotland uses ISO8601 week numbers, which start on a Monday.\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 55,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "The sql extension is already loaded. To reload it, use:\n",
- " %reload_ext sql\n"
- ]
- }
- ],
- "source": [
- "import itertools\n",
- "import collections\n",
- "import json\n",
- "import pandas as pd\n",
- "import numpy as np\n",
- "from scipy.stats import gmean\n",
- "import datetime\n",
- "\n",
- "import matplotlib as mpl\n",
- "import matplotlib.pyplot as plt\n",
- "%matplotlib inline\n",
- "\n",
- "from sqlalchemy.types import Integer, Text, String, DateTime, Float\n",
- "from sqlalchemy import create_engine\n",
- "%load_ext sql"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 56,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "connection_string = 'postgresql://covid:3NbjJTkT63@localhost/covid'"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 57,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "'Connected: covid@covid'"
- ]
- },
- "execution_count": 57,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "%sql $connection_string"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 58,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "engine = create_engine(connection_string)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 59,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
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- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>23</th>\n",
- " <td>2021-06-11 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10709</td>\n",
- " <td>9977</td>\n",
- " <td>9346</td>\n",
- " <td>610</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>24</th>\n",
- " <td>2021-06-18 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9976</td>\n",
- " <td>9417</td>\n",
- " <td>8803</td>\n",
- " <td>588</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>25</th>\n",
- " <td>2021-06-25 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9339</td>\n",
- " <td>9404</td>\n",
- " <td>8810</td>\n",
- " <td>573</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>26</th>\n",
- " <td>2021-07-02 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>8979</td>\n",
- " <td>9293</td>\n",
- " <td>8695</td>\n",
- " <td>571</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>27</th>\n",
- " <td>2021-07-09 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9140</td>\n",
- " <td>9183</td>\n",
- " <td>8606</td>\n",
- " <td>555</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>28</th>\n",
- " <td>2021-07-16 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>8690</td>\n",
- " <td>9250</td>\n",
- " <td>8648</td>\n",
- " <td>578</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>29</th>\n",
- " <td>2021-07-23 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>8823</td>\n",
- " <td>9093</td>\n",
- " <td>8502</td>\n",
- " <td>557</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>30</th>\n",
- " <td>2021-07-30 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>8891</td>\n",
- " <td>9052</td>\n",
- " <td>8452</td>\n",
- " <td>566</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>31</th>\n",
- " <td>2021-08-06 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>8946</td>\n",
- " <td>9036</td>\n",
- " <td>8436</td>\n",
- " <td>572</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>32</th>\n",
- " <td>2021-08-13 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>8945</td>\n",
- " <td>9102</td>\n",
- " <td>8502</td>\n",
- " <td>571</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>33</th>\n",
- " <td>2021-08-20 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9392</td>\n",
- " <td>9085</td>\n",
- " <td>8494</td>\n",
- " <td>564</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>34</th>\n",
- " <td>2021-08-27 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9631</td>\n",
- " <td>9157</td>\n",
- " <td>8560</td>\n",
- " <td>573</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>35</th>\n",
- " <td>2021-09-03 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9032</td>\n",
- " <td>8241</td>\n",
- " <td>7674</td>\n",
- " <td>539</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>36</th>\n",
- " <td>2021-09-10 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>7739</td>\n",
- " <td>9182</td>\n",
- " <td>8604</td>\n",
- " <td>552</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>37</th>\n",
- " <td>2021-09-17 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9811</td>\n",
- " <td>9306</td>\n",
- " <td>8708</td>\n",
- " <td>577</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>38</th>\n",
- " <td>2021-09-24 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9523</td>\n",
- " <td>9264</td>\n",
- " <td>8663</td>\n",
- " <td>575</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>39</th>\n",
- " <td>2021-10-01 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9634</td>\n",
- " <td>9377</td>\n",
- " <td>8744</td>\n",
- " <td>604</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>40</th>\n",
- " <td>2021-10-08 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9945</td>\n",
- " <td>9555</td>\n",
- " <td>8942</td>\n",
- " <td>587</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>41</th>\n",
- " <td>2021-10-15 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9954</td>\n",
- " <td>9811</td>\n",
- " <td>9168</td>\n",
- " <td>615</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>42</th>\n",
- " <td>2021-10-22 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10534</td>\n",
- " <td>9865</td>\n",
- " <td>9215</td>\n",
- " <td>630</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>43</th>\n",
- " <td>2021-10-29 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10739</td>\n",
- " <td>9759</td>\n",
- " <td>9104</td>\n",
- " <td>628</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>44</th>\n",
- " <td>2021-11-05 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10887</td>\n",
- " <td>9891</td>\n",
- " <td>9248</td>\n",
- " <td>616</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>45</th>\n",
- " <td>2021-11-12 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>11812</td>\n",
- " <td>10331</td>\n",
- " <td>9675</td>\n",
- " <td>625</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>46</th>\n",
- " <td>2021-11-19 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>12254</td>\n",
- " <td>10350</td>\n",
- " <td>9662</td>\n",
- " <td>658</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>47</th>\n",
- " <td>2021-11-26 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>12535</td>\n",
- " <td>10380</td>\n",
- " <td>9701</td>\n",
- " <td>653</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>48</th>\n",
- " <td>2021-12-03 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>12456</td>\n",
- " <td>10357</td>\n",
- " <td>9690</td>\n",
- " <td>646</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
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- "17 NaN NaN NaN NaN \n",
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- "\n",
- " West Midlands East London South East South West \\\n",
- "Week number E12000005 E12000006 E12000007 E12000008 E12000009 \n",
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- "14 NaN NaN NaN NaN NaN \n",
- "15 NaN NaN NaN NaN NaN \n",
- "16 NaN NaN NaN NaN NaN \n",
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- "19 NaN NaN NaN NaN NaN \n",
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- "\n",
- " Wales \n",
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- "\n",
- "[54 rows x 87 columns]"
- ]
- },
- "execution_count": 62,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "eng_xls = pd.read_excel(england_wales_filename, \n",
- " sheet_name=\"Weekly figures 2021\",\n",
- " skiprows=[0, 1, 2, 3],\n",
- " skipfooter=11,\n",
- " header=0,\n",
- " index_col=[1]\n",
- " ).iloc[:91].T\n",
- "eng_xls"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 63,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "eng_xls_columns = list(eng_xls.columns)\n",
- "\n",
- "for i, c in enumerate(eng_xls_columns):\n",
- "# print(i, c, type(c), isinstance(c, float))\n",
- " if isinstance(c, float) and np.isnan(c):\n",
- " if eng_xls.iloc[0].iloc[i] is not pd.NaT:\n",
- " eng_xls_columns[i] = eng_xls.iloc[0].iloc[i]\n",
- "\n",
- "# np.isnan(eng_xls_columns[0])\n",
- "# eng_xls_columns\n",
- "\n",
- "eng_xls.columns = eng_xls_columns\n",
- "# eng_xls.columns"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 64,
- "metadata": {
- "scrolled": true
- },
- "outputs": [
- {
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- " <th>Total deaths: average of corresponding week in 2015-2019 (England and Wales) 1</th>\n",
- " <th>Total deaths: average of corresponding week in 2015-2019 (England) 1</th>\n",
- " <th>Total deaths: average of corresponding week in 2015-2019 (Wales) 1</th>\n",
- " <th>NaN</th>\n",
- " <th>...</th>\n",
- " <th>North East</th>\n",
- " <th>North West</th>\n",
- " <th>Yorkshire and The Humber</th>\n",
- " <th>East Midlands</th>\n",
- " <th>West Midlands</th>\n",
- " <th>East</th>\n",
- " <th>London</th>\n",
- " <th>South East</th>\n",
- " <th>South West</th>\n",
- " <th>Wales</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>Week number</th>\n",
- " <td>Week ended</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>Total deaths, all ages (2021)</td>\n",
- " <td>NaN</td>\n",
- " <td>Total deaths, all ages (2020)</td>\n",
- " <td>Total deaths: average of corresponding week in...</td>\n",
- " <td>Total deaths: average of corresponding week in...</td>\n",
- " <td>Total deaths: average of corresponding week in...</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>E12000001</td>\n",
- " <td>E12000002</td>\n",
- " <td>E12000003</td>\n",
- " <td>E12000004</td>\n",
- " <td>E12000005</td>\n",
- " <td>E12000006</td>\n",
- " <td>E12000007</td>\n",
- " <td>E12000008</td>\n",
- " <td>E12000009</td>\n",
- " <td>W92000004</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>2021-01-08 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>17751</td>\n",
- " <td>NaN</td>\n",
- " <td>12254</td>\n",
- " <td>12175</td>\n",
- " <td>11412</td>\n",
- " <td>756</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>858</td>\n",
- " <td>2090</td>\n",
- " <td>1640</td>\n",
- " <td>1414</td>\n",
- " <td>1785</td>\n",
- " <td>2082</td>\n",
- " <td>2138</td>\n",
- " <td>2950</td>\n",
- " <td>1570</td>\n",
- " <td>1198</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>2021-01-15 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>18042</td>\n",
- " <td>NaN</td>\n",
- " <td>14058</td>\n",
- " <td>13822</td>\n",
- " <td>12933</td>\n",
- " <td>856</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>797</td>\n",
- " <td>2112</td>\n",
- " <td>1408</td>\n",
- " <td>1402</td>\n",
- " <td>1820</td>\n",
- " <td>2240</td>\n",
- " <td>2346</td>\n",
- " <td>3127</td>\n",
- " <td>1593</td>\n",
- " <td>1170</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>2021-01-22 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>18676</td>\n",
- " <td>NaN</td>\n",
- " <td>12990</td>\n",
- " <td>13216</td>\n",
- " <td>12370</td>\n",
- " <td>812</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>836</td>\n",
- " <td>2202</td>\n",
- " <td>1426</td>\n",
- " <td>1496</td>\n",
- " <td>1925</td>\n",
- " <td>2267</td>\n",
- " <td>2417</td>\n",
- " <td>3328</td>\n",
- " <td>1670</td>\n",
- " <td>1077</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>2021-01-29 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>18448</td>\n",
- " <td>NaN</td>\n",
- " <td>11856</td>\n",
- " <td>12760</td>\n",
- " <td>11933</td>\n",
- " <td>802</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>752</td>\n",
- " <td>2191</td>\n",
- " <td>1485</td>\n",
- " <td>1403</td>\n",
- " <td>1926</td>\n",
- " <td>2350</td>\n",
- " <td>2302</td>\n",
- " <td>3271</td>\n",
- " <td>1775</td>\n",
- " <td>974</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>5</th>\n",
- " <td>2021-02-05 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>11612</td>\n",
- " <td>12206</td>\n",
- " <td>11419</td>\n",
- " <td>760</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>6</th>\n",
- " <td>2021-02-12 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10986</td>\n",
- " <td>11925</td>\n",
- " <td>11154</td>\n",
- " <td>729</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>7</th>\n",
- " <td>2021-02-19 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10944</td>\n",
- " <td>11627</td>\n",
- " <td>10876</td>\n",
- " <td>722</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>8</th>\n",
- " <td>2021-02-26 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10841</td>\n",
- " <td>11548</td>\n",
- " <td>10790</td>\n",
- " <td>724</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>9</th>\n",
- " <td>2021-03-05 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10816</td>\n",
- " <td>11183</td>\n",
- " <td>10448</td>\n",
- " <td>698</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>10</th>\n",
- " <td>2021-03-12 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10895</td>\n",
- " <td>11498</td>\n",
- " <td>10745</td>\n",
- " <td>720</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>11</th>\n",
- " <td>2021-03-19 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>11019</td>\n",
- " <td>11205</td>\n",
- " <td>10447</td>\n",
- " <td>727</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>12</th>\n",
- " <td>2021-03-26 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10645</td>\n",
- " <td>10573</td>\n",
- " <td>9841</td>\n",
- " <td>677</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>13</th>\n",
- " <td>2021-04-02 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>11141</td>\n",
- " <td>10130</td>\n",
- " <td>9414</td>\n",
- " <td>665</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>14</th>\n",
- " <td>2021-04-09 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>16387</td>\n",
- " <td>10305</td>\n",
- " <td>9601</td>\n",
- " <td>667</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>15</th>\n",
- " <td>2021-04-16 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>18516</td>\n",
- " <td>10520</td>\n",
- " <td>9807</td>\n",
- " <td>671</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>16</th>\n",
- " <td>2021-04-23 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>22351</td>\n",
- " <td>10497</td>\n",
- " <td>9787</td>\n",
- " <td>661</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>17</th>\n",
- " <td>2021-04-30 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>21997</td>\n",
- " <td>10458</td>\n",
- " <td>9768</td>\n",
- " <td>662</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>18</th>\n",
- " <td>2021-05-07 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>17953</td>\n",
- " <td>9941</td>\n",
- " <td>9289</td>\n",
- " <td>624</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>19</th>\n",
- " <td>2021-05-14 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>12657</td>\n",
- " <td>9576</td>\n",
- " <td>8937</td>\n",
- " <td>612</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>20</th>\n",
- " <td>2021-05-21 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>14573</td>\n",
- " <td>10188</td>\n",
- " <td>9526</td>\n",
- " <td>635</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>21</th>\n",
- " <td>2021-05-28 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>12288</td>\n",
- " <td>9940</td>\n",
- " <td>9299</td>\n",
- " <td>614</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>22</th>\n",
- " <td>2021-06-04 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9824</td>\n",
- " <td>8171</td>\n",
- " <td>7607</td>\n",
- " <td>546</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>23</th>\n",
- " <td>2021-06-11 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10709</td>\n",
- " <td>9977</td>\n",
- " <td>9346</td>\n",
- " <td>610</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>24</th>\n",
- " <td>2021-06-18 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9976</td>\n",
- " <td>9417</td>\n",
- " <td>8803</td>\n",
- " <td>588</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>25</th>\n",
- " <td>2021-06-25 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9339</td>\n",
- " <td>9404</td>\n",
- " <td>8810</td>\n",
- " <td>573</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>26</th>\n",
- " <td>2021-07-02 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>8979</td>\n",
- " <td>9293</td>\n",
- " <td>8695</td>\n",
- " <td>571</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>27</th>\n",
- " <td>2021-07-09 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9140</td>\n",
- " <td>9183</td>\n",
- " <td>8606</td>\n",
- " <td>555</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>28</th>\n",
- " <td>2021-07-16 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>8690</td>\n",
- " <td>9250</td>\n",
- " <td>8648</td>\n",
- " <td>578</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>29</th>\n",
- " <td>2021-07-23 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>8823</td>\n",
- " <td>9093</td>\n",
- " <td>8502</td>\n",
- " <td>557</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>30</th>\n",
- " <td>2021-07-30 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>8891</td>\n",
- " <td>9052</td>\n",
- " <td>8452</td>\n",
- " <td>566</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>31</th>\n",
- " <td>2021-08-06 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>8946</td>\n",
- " <td>9036</td>\n",
- " <td>8436</td>\n",
- " <td>572</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>32</th>\n",
- " <td>2021-08-13 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>8945</td>\n",
- " <td>9102</td>\n",
- " <td>8502</td>\n",
- " <td>571</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>33</th>\n",
- " <td>2021-08-20 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9392</td>\n",
- " <td>9085</td>\n",
- " <td>8494</td>\n",
- " <td>564</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>34</th>\n",
- " <td>2021-08-27 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9631</td>\n",
- " <td>9157</td>\n",
- " <td>8560</td>\n",
- " <td>573</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>35</th>\n",
- " <td>2021-09-03 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9032</td>\n",
- " <td>8241</td>\n",
- " <td>7674</td>\n",
- " <td>539</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>36</th>\n",
- " <td>2021-09-10 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>7739</td>\n",
- " <td>9182</td>\n",
- " <td>8604</td>\n",
- " <td>552</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>37</th>\n",
- " <td>2021-09-17 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9811</td>\n",
- " <td>9306</td>\n",
- " <td>8708</td>\n",
- " <td>577</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>38</th>\n",
- " <td>2021-09-24 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9523</td>\n",
- " <td>9264</td>\n",
- " <td>8663</td>\n",
- " <td>575</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>39</th>\n",
- " <td>2021-10-01 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9634</td>\n",
- " <td>9377</td>\n",
- " <td>8744</td>\n",
- " <td>604</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>40</th>\n",
- " <td>2021-10-08 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9945</td>\n",
- " <td>9555</td>\n",
- " <td>8942</td>\n",
- " <td>587</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>41</th>\n",
- " <td>2021-10-15 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>9954</td>\n",
- " <td>9811</td>\n",
- " <td>9168</td>\n",
- " <td>615</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>42</th>\n",
- " <td>2021-10-22 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10534</td>\n",
- " <td>9865</td>\n",
- " <td>9215</td>\n",
- " <td>630</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>43</th>\n",
- " <td>2021-10-29 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10739</td>\n",
- " <td>9759</td>\n",
- " <td>9104</td>\n",
- " <td>628</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>44</th>\n",
- " <td>2021-11-05 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>10887</td>\n",
- " <td>9891</td>\n",
- " <td>9248</td>\n",
- " <td>616</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>45</th>\n",
- " <td>2021-11-12 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>11812</td>\n",
- " <td>10331</td>\n",
- " <td>9675</td>\n",
- " <td>625</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>46</th>\n",
- " <td>2021-11-19 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>12254</td>\n",
- " <td>10350</td>\n",
- " <td>9662</td>\n",
- " <td>658</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>47</th>\n",
- " <td>2021-11-26 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>12535</td>\n",
- " <td>10380</td>\n",
- " <td>9701</td>\n",
- " <td>653</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>48</th>\n",
- " <td>2021-12-03 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>12456</td>\n",
- " <td>10357</td>\n",
- " <td>9690</td>\n",
- " <td>646</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>49</th>\n",
- " <td>2021-12-10 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>12303</td>\n",
- " <td>10695</td>\n",
- " <td>9995</td>\n",
- " <td>679</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>50</th>\n",
- " <td>2021-12-17 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>12292</td>\n",
- " <td>10750</td>\n",
- " <td>10034</td>\n",
- " <td>693</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>51</th>\n",
- " <td>2021-12-24 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>13011</td>\n",
- " <td>11548</td>\n",
- " <td>10804</td>\n",
- " <td>718</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>52</th>\n",
- " <td>2021-12-31 00:00:00</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>11520</td>\n",
- " <td>7954</td>\n",
- " <td>7421</td>\n",
- " <td>518</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>53 7</th>\n",
- " <td>2020</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>:</td>\n",
- " <td>NaN</td>\n",
- " <td>10069</td>\n",
- " <td>:</td>\n",
- " <td>:</td>\n",
- " <td>:</td>\n",
- " <td>NaN</td>\n",
- " <td>...</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "<p>54 rows × 87 columns</p>\n",
- "</div>"
- ],
- "text/plain": [
- " Week ended NaN NaN Total deaths, all ages (2021) \\\n",
- "Week number Week ended NaN NaN Total deaths, all ages (2021) \n",
- "1 2021-01-08 00:00:00 NaN NaN 17751 \n",
- "2 2021-01-15 00:00:00 NaN NaN 18042 \n",
- "3 2021-01-22 00:00:00 NaN NaN 18676 \n",
- "4 2021-01-29 00:00:00 NaN NaN 18448 \n",
- "5 2021-02-05 00:00:00 NaN NaN NaN \n",
- "6 2021-02-12 00:00:00 NaN NaN NaN \n",
- "7 2021-02-19 00:00:00 NaN NaN NaN \n",
- "8 2021-02-26 00:00:00 NaN NaN NaN \n",
- "9 2021-03-05 00:00:00 NaN NaN NaN \n",
- "10 2021-03-12 00:00:00 NaN NaN NaN \n",
- "11 2021-03-19 00:00:00 NaN NaN NaN \n",
- "12 2021-03-26 00:00:00 NaN NaN NaN \n",
- "13 2021-04-02 00:00:00 NaN NaN NaN \n",
- "14 2021-04-09 00:00:00 NaN NaN NaN \n",
- "15 2021-04-16 00:00:00 NaN NaN NaN \n",
- "16 2021-04-23 00:00:00 NaN NaN NaN \n",
- "17 2021-04-30 00:00:00 NaN NaN NaN \n",
- "18 2021-05-07 00:00:00 NaN NaN NaN \n",
- "19 2021-05-14 00:00:00 NaN NaN NaN \n",
- "20 2021-05-21 00:00:00 NaN NaN NaN \n",
- "21 2021-05-28 00:00:00 NaN NaN NaN \n",
- "22 2021-06-04 00:00:00 NaN NaN NaN \n",
- "23 2021-06-11 00:00:00 NaN NaN NaN \n",
- "24 2021-06-18 00:00:00 NaN NaN NaN \n",
- "25 2021-06-25 00:00:00 NaN NaN NaN \n",
- "26 2021-07-02 00:00:00 NaN NaN NaN \n",
- "27 2021-07-09 00:00:00 NaN NaN NaN \n",
- "28 2021-07-16 00:00:00 NaN NaN NaN \n",
- "29 2021-07-23 00:00:00 NaN NaN NaN \n",
- "30 2021-07-30 00:00:00 NaN NaN NaN \n",
- "31 2021-08-06 00:00:00 NaN NaN NaN \n",
- "32 2021-08-13 00:00:00 NaN NaN NaN \n",
- "33 2021-08-20 00:00:00 NaN NaN NaN \n",
- "34 2021-08-27 00:00:00 NaN NaN NaN \n",
- "35 2021-09-03 00:00:00 NaN NaN NaN \n",
- "36 2021-09-10 00:00:00 NaN NaN NaN \n",
- "37 2021-09-17 00:00:00 NaN NaN NaN \n",
- "38 2021-09-24 00:00:00 NaN NaN NaN \n",
- "39 2021-10-01 00:00:00 NaN NaN NaN \n",
- "40 2021-10-08 00:00:00 NaN NaN NaN \n",
- "41 2021-10-15 00:00:00 NaN NaN NaN \n",
- "42 2021-10-22 00:00:00 NaN NaN NaN \n",
- "43 2021-10-29 00:00:00 NaN NaN NaN \n",
- "44 2021-11-05 00:00:00 NaN NaN NaN \n",
- "45 2021-11-12 00:00:00 NaN NaN NaN \n",
- "46 2021-11-19 00:00:00 NaN NaN NaN \n",
- "47 2021-11-26 00:00:00 NaN NaN NaN \n",
- "48 2021-12-03 00:00:00 NaN NaN NaN \n",
- "49 2021-12-10 00:00:00 NaN NaN NaN \n",
- "50 2021-12-17 00:00:00 NaN NaN NaN \n",
- "51 2021-12-24 00:00:00 NaN NaN NaN \n",
- "52 2021-12-31 00:00:00 NaN NaN NaN \n",
- "53 7 2020 NaN NaN : \n",
- "\n",
- " NaN Total deaths, all ages (2020) \\\n",
- "Week number NaN Total deaths, all ages (2020) \n",
- "1 NaN 12254 \n",
- "2 NaN 14058 \n",
- "3 NaN 12990 \n",
- "4 NaN 11856 \n",
- "5 NaN 11612 \n",
- "6 NaN 10986 \n",
- "7 NaN 10944 \n",
- "8 NaN 10841 \n",
- "9 NaN 10816 \n",
- "10 NaN 10895 \n",
- "11 NaN 11019 \n",
- "12 NaN 10645 \n",
- "13 NaN 11141 \n",
- "14 NaN 16387 \n",
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- "20 NaN 14573 \n",
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- "23 NaN 10709 \n",
- "24 NaN 9976 \n",
- "25 NaN 9339 \n",
- "26 NaN 8979 \n",
- "27 NaN 9140 \n",
- "28 NaN 8690 \n",
- "29 NaN 8823 \n",
- "30 NaN 8891 \n",
- "31 NaN 8946 \n",
- "32 NaN 8945 \n",
- "33 NaN 9392 \n",
- "34 NaN 9631 \n",
- "35 NaN 9032 \n",
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- "50 NaN 12292 \n",
- "51 NaN 13011 \n",
- "52 NaN 11520 \n",
- "53 7 NaN 10069 \n",
- "\n",
- " Total deaths: average of corresponding week in 2015-2019 (England and Wales) 1 \\\n",
- "Week number Total deaths: average of corresponding week in... \n",
- "1 12175 \n",
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- "3 13216 \n",
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- "47 10380 \n",
- "48 10357 \n",
- "49 10695 \n",
- "50 10750 \n",
- "51 11548 \n",
- "52 7954 \n",
- "53 7 : \n",
- "\n",
- " Total deaths: average of corresponding week in 2015-2019 (England) 1 \\\n",
- "Week number Total deaths: average of corresponding week in... \n",
- "1 11412 \n",
- "2 12933 \n",
- "3 12370 \n",
- "4 11933 \n",
- "5 11419 \n",
- "6 11154 \n",
- "7 10876 \n",
- "8 10790 \n",
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- "10 10745 \n",
- "11 10447 \n",
- "12 9841 \n",
- "13 9414 \n",
- "14 9601 \n",
- "15 9807 \n",
- "16 9787 \n",
- "17 9768 \n",
- "18 9289 \n",
- "19 8937 \n",
- "20 9526 \n",
- "21 9299 \n",
- "22 7607 \n",
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- "49 9995 \n",
- "50 10034 \n",
- "51 10804 \n",
- "52 7421 \n",
- "53 7 : \n",
- "\n",
- " Total deaths: average of corresponding week in 2015-2019 (Wales) 1 \\\n",
- "Week number Total deaths: average of corresponding week in... \n",
- "1 756 \n",
- "2 856 \n",
- "3 812 \n",
- "4 802 \n",
- "5 760 \n",
- "6 729 \n",
- "7 722 \n",
- "8 724 \n",
- "9 698 \n",
- "10 720 \n",
- "11 727 \n",
- "12 677 \n",
- "13 665 \n",
- "14 667 \n",
- "15 671 \n",
- "16 661 \n",
- "17 662 \n",
- "18 624 \n",
- "19 612 \n",
- "20 635 \n",
- "21 614 \n",
- "22 546 \n",
- "23 610 \n",
- "24 588 \n",
- "25 573 \n",
- "26 571 \n",
- "27 555 \n",
- "28 578 \n",
- "29 557 \n",
- "30 566 \n",
- "31 572 \n",
- "32 571 \n",
- "33 564 \n",
- "34 573 \n",
- "35 539 \n",
- "36 552 \n",
- "37 577 \n",
- "38 575 \n",
- "39 604 \n",
- "40 587 \n",
- "41 615 \n",
- "42 630 \n",
- "43 628 \n",
- "44 616 \n",
- "45 625 \n",
- "46 658 \n",
- "47 653 \n",
- "48 646 \n",
- "49 679 \n",
- "50 693 \n",
- "51 718 \n",
- "52 518 \n",
- "53 7 : \n",
- "\n",
- " NaN ... North East North West Yorkshire and The Humber \\\n",
- "Week number NaN ... E12000001 E12000002 E12000003 \n",
- "1 NaN ... 858 2090 1640 \n",
- "2 NaN ... 797 2112 1408 \n",
- "3 NaN ... 836 2202 1426 \n",
- "4 NaN ... 752 2191 1485 \n",
- "5 NaN ... NaN NaN NaN \n",
- "6 NaN ... NaN NaN NaN \n",
- "7 NaN ... NaN NaN NaN \n",
- "8 NaN ... NaN NaN NaN \n",
- "9 NaN ... NaN NaN NaN \n",
- "10 NaN ... NaN NaN NaN \n",
- "11 NaN ... NaN NaN NaN \n",
- "12 NaN ... NaN NaN NaN \n",
- "13 NaN ... NaN NaN NaN \n",
- "14 NaN ... NaN NaN NaN \n",
- "15 NaN ... NaN NaN NaN \n",
- "16 NaN ... NaN NaN NaN \n",
- "17 NaN ... NaN NaN NaN \n",
- "18 NaN ... NaN NaN NaN \n",
- "19 NaN ... NaN NaN NaN \n",
- "20 NaN ... NaN NaN NaN \n",
- "21 NaN ... NaN NaN NaN \n",
- "22 NaN ... NaN NaN NaN \n",
- "23 NaN ... NaN NaN NaN \n",
- "24 NaN ... NaN NaN NaN \n",
- "25 NaN ... NaN NaN NaN \n",
- "26 NaN ... NaN NaN NaN \n",
- "27 NaN ... NaN NaN NaN \n",
- "28 NaN ... NaN NaN NaN \n",
- "29 NaN ... NaN NaN NaN \n",
- "30 NaN ... NaN NaN NaN \n",
- "31 NaN ... NaN NaN NaN \n",
- "32 NaN ... NaN NaN NaN \n",
- "33 NaN ... NaN NaN NaN \n",
- "34 NaN ... NaN NaN NaN \n",
- "35 NaN ... NaN NaN NaN \n",
- "36 NaN ... NaN NaN NaN \n",
- "37 NaN ... NaN NaN NaN \n",
- "38 NaN ... NaN NaN NaN \n",
- "39 NaN ... NaN NaN NaN \n",
- "40 NaN ... NaN NaN NaN \n",
- "41 NaN ... NaN NaN NaN \n",
- "42 NaN ... NaN NaN NaN \n",
- "43 NaN ... NaN NaN NaN \n",
- "44 NaN ... NaN NaN NaN \n",
- "45 NaN ... NaN NaN NaN \n",
- "46 NaN ... NaN NaN NaN \n",
- "47 NaN ... NaN NaN NaN \n",
- "48 NaN ... NaN NaN NaN \n",
- "49 NaN ... NaN NaN NaN \n",
- "50 NaN ... NaN NaN NaN \n",
- "51 NaN ... NaN NaN NaN \n",
- "52 NaN ... NaN NaN NaN \n",
- "53 7 NaN ... NaN NaN NaN \n",
- "\n",
- " East Midlands West Midlands East London South East \\\n",
- "Week number E12000004 E12000005 E12000006 E12000007 E12000008 \n",
- "1 1414 1785 2082 2138 2950 \n",
- "2 1402 1820 2240 2346 3127 \n",
- "3 1496 1925 2267 2417 3328 \n",
- "4 1403 1926 2350 2302 3271 \n",
- "5 NaN NaN NaN NaN NaN \n",
- "6 NaN NaN NaN NaN NaN \n",
- "7 NaN NaN NaN NaN NaN \n",
- "8 NaN NaN NaN NaN NaN \n",
- "9 NaN NaN NaN NaN NaN \n",
- "10 NaN NaN NaN NaN NaN \n",
- "11 NaN NaN NaN NaN NaN \n",
- "12 NaN NaN NaN NaN NaN \n",
- "13 NaN NaN NaN NaN NaN \n",
- "14 NaN NaN NaN NaN NaN \n",
- "15 NaN NaN NaN NaN NaN \n",
- "16 NaN NaN NaN NaN NaN \n",
- "17 NaN NaN NaN NaN NaN \n",
- "18 NaN NaN NaN NaN NaN \n",
- "19 NaN NaN NaN NaN NaN \n",
- "20 NaN NaN NaN NaN NaN \n",
- "21 NaN NaN NaN NaN NaN \n",
- "22 NaN NaN NaN NaN NaN \n",
- "23 NaN NaN NaN NaN NaN \n",
- "24 NaN NaN NaN NaN NaN \n",
- "25 NaN NaN NaN NaN NaN \n",
- "26 NaN NaN NaN NaN NaN \n",
- "27 NaN NaN NaN NaN NaN \n",
- "28 NaN NaN NaN NaN NaN \n",
- "29 NaN NaN NaN NaN NaN \n",
- "30 NaN NaN NaN NaN NaN \n",
- "31 NaN NaN NaN NaN NaN \n",
- "32 NaN NaN NaN NaN NaN \n",
- "33 NaN NaN NaN NaN NaN \n",
- "34 NaN NaN NaN NaN NaN \n",
- "35 NaN NaN NaN NaN NaN \n",
- "36 NaN NaN NaN NaN NaN \n",
- "37 NaN NaN NaN NaN NaN \n",
- "38 NaN NaN NaN NaN NaN \n",
- "39 NaN NaN NaN NaN NaN \n",
- "40 NaN NaN NaN NaN NaN \n",
- "41 NaN NaN NaN NaN NaN \n",
- "42 NaN NaN NaN NaN NaN \n",
- "43 NaN NaN NaN NaN NaN \n",
- "44 NaN NaN NaN NaN NaN \n",
- "45 NaN NaN NaN NaN NaN \n",
- "46 NaN NaN NaN NaN NaN \n",
- "47 NaN NaN NaN NaN NaN \n",
- "48 NaN NaN NaN NaN NaN \n",
- "49 NaN NaN NaN NaN NaN \n",
- "50 NaN NaN NaN NaN NaN \n",
- "51 NaN NaN NaN NaN NaN \n",
- "52 NaN NaN NaN NaN NaN \n",
- "53 7 NaN NaN NaN NaN NaN \n",
- "\n",
- " South West Wales \n",
- "Week number E12000009 W92000004 \n",
- "1 1570 1198 \n",
- "2 1593 1170 \n",
- "3 1670 1077 \n",
- "4 1775 974 \n",
- "5 NaN NaN \n",
- "6 NaN NaN \n",
- "7 NaN NaN \n",
- "8 NaN NaN \n",
- "9 NaN NaN \n",
- "10 NaN NaN \n",
- "11 NaN NaN \n",
- "12 NaN NaN \n",
- "13 NaN NaN \n",
- "14 NaN NaN \n",
- "15 NaN NaN \n",
- "16 NaN NaN \n",
- "17 NaN NaN \n",
- "18 NaN NaN \n",
- "19 NaN NaN \n",
- "20 NaN NaN \n",
- "21 NaN NaN \n",
- "22 NaN NaN \n",
- "23 NaN NaN \n",
- "24 NaN NaN \n",
- "25 NaN NaN \n",
- "26 NaN NaN \n",
- "27 NaN NaN \n",
- "28 NaN NaN \n",
- "29 NaN NaN \n",
- "30 NaN NaN \n",
- "31 NaN NaN \n",
- "32 NaN NaN \n",
- "33 NaN NaN \n",
- "34 NaN NaN \n",
- "35 NaN NaN \n",
- "36 NaN NaN \n",
- "37 NaN NaN \n",
- "38 NaN NaN \n",
- "39 NaN NaN \n",
- "40 NaN NaN \n",
- "41 NaN NaN \n",
- "42 NaN NaN \n",
- "43 NaN NaN \n",
- "44 NaN NaN \n",
- "45 NaN NaN \n",
- "46 NaN NaN \n",
- "47 NaN NaN \n",
- "48 NaN NaN \n",
- "49 NaN NaN \n",
- "50 NaN NaN \n",
- "51 NaN NaN \n",
- "52 NaN NaN \n",
- "53 7 NaN NaN \n",
- "\n",
- "[54 rows x 87 columns]"
- ]
- },
- "execution_count": 64,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "eng_xls"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 65,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
- " .dataframe tbody tr th:only-of-type {\n",
- " vertical-align: middle;\n",
- " }\n",
- "\n",
- " .dataframe tbody tr th {\n",
- " vertical-align: top;\n",
- " }\n",
- "\n",
- " .dataframe thead th {\n",
- " text-align: right;\n",
- " }\n",
- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>week</th>\n",
- " <th>date_up_to</th>\n",
- " <th>deaths</th>\n",
- " <th>year</th>\n",
- " <th>nation</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>0</th>\n",
- " <td>1</td>\n",
- " <td>2021-01-08 00:00:00</td>\n",
- " <td>1198</td>\n",
- " <td>2021</td>\n",
- " <td>Wales</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>2</td>\n",
- " <td>2021-01-15 00:00:00</td>\n",
- " <td>1170</td>\n",
- " <td>2021</td>\n",
- " <td>Wales</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>3</td>\n",
- " <td>2021-01-22 00:00:00</td>\n",
- " <td>1077</td>\n",
- " <td>2021</td>\n",
- " <td>Wales</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>4</td>\n",
- " <td>2021-01-29 00:00:00</td>\n",
- " <td>974</td>\n",
- " <td>2021</td>\n",
- " <td>Wales</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " week date_up_to deaths year nation\n",
- "0 1 2021-01-08 00:00:00 1198 2021 Wales\n",
- "1 2 2021-01-15 00:00:00 1170 2021 Wales\n",
- "2 3 2021-01-22 00:00:00 1077 2021 Wales\n",
- "3 4 2021-01-29 00:00:00 974 2021 Wales"
- ]
- },
- "execution_count": 65,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "rd = eng_xls.iloc[1:][['Week ended', 'Wales']].reset_index(level=0).rename(\n",
- " columns={'Week ended': 'date_up_to', 'Wales': 'deaths',\n",
- " 'index': 'week'}\n",
- " )\n",
- "rd['year'] = 2021\n",
- "rd['nation'] = 'Wales'\n",
- "rd.dropna(inplace=True)\n",
- "rd.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 66,
- "metadata": {},
- "outputs": [],
- "source": [
- "query_string = '''\n",
- "delete from all_causes_deaths\n",
- "where nation = 'Wales'\n",
- " and year = 2021;\n",
- "'''\n",
- "with engine.connect() as connection:\n",
- " connection.execute(query_string)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 67,
- "metadata": {},
- "outputs": [],
- "source": [
- "rd.to_sql(\n",
- " 'all_causes_deaths',\n",
- " engine,\n",
- " if_exists='append',\n",
- " index=False)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 68,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "10 rows affected.\n"
- ]
- },
- {
- "data": {
- "text/html": [
- "<table>\n",
- " <thead>\n",
- " <tr>\n",
- " <th>week</th>\n",
- " <th>year</th>\n",
- " <th>date_up_to</th>\n",
- " <th>nation</th>\n",
- " <th>deaths</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <td>1</td>\n",
- " <td>2021</td>\n",
- " <td>2021-01-08</td>\n",
- " <td>England</td>\n",
- " <td>16553</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>1</td>\n",
- " <td>2021</td>\n",
- " <td>2021-01-08</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>568</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>1</td>\n",
- " <td>2021</td>\n",
- " <td>2021-01-04</td>\n",
- " <td>Scotland</td>\n",
- " <td>1720</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>1</td>\n",
- " <td>2021</td>\n",
- " <td>2021-01-08</td>\n",
- " <td>Wales</td>\n",
- " <td>1198</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2</td>\n",
- " <td>2021</td>\n",
- " <td>2021-01-15</td>\n",
- " <td>England</td>\n",
- " <td>16872</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2</td>\n",
- " <td>2021</td>\n",
- " <td>2021-01-15</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>443</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2</td>\n",
- " <td>2021</td>\n",
- " <td>2021-01-11</td>\n",
- " <td>Scotland</td>\n",
- " <td>1550</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>2</td>\n",
- " <td>2021</td>\n",
- " <td>2021-01-15</td>\n",
- " <td>Wales</td>\n",
- " <td>1170</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>3</td>\n",
- " <td>2021</td>\n",
- " <td>2021-01-22</td>\n",
- " <td>England</td>\n",
- " <td>17599</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>3</td>\n",
- " <td>2021</td>\n",
- " <td>2021-01-22</td>\n",
- " <td>Northern Ireland</td>\n",
- " <td>474</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>"
- ],
- "text/plain": [
- "[(1, 2021, datetime.date(2021, 1, 8), 'England', 16553),\n",
- " (1, 2021, datetime.date(2021, 1, 8), 'Northern Ireland', 568),\n",
- " (1, 2021, datetime.date(2021, 1, 4), 'Scotland', 1720),\n",
- " (1, 2021, datetime.date(2021, 1, 8), 'Wales', 1198),\n",
- " (2, 2021, datetime.date(2021, 1, 15), 'England', 16872),\n",
- " (2, 2021, datetime.date(2021, 1, 15), 'Northern Ireland', 443),\n",
- " (2, 2021, datetime.date(2021, 1, 11), 'Scotland', 1550),\n",
- " (2, 2021, datetime.date(2021, 1, 15), 'Wales', 1170),\n",
- " (3, 2021, datetime.date(2021, 1, 22), 'England', 17599),\n",
- " (3, 2021, datetime.date(2021, 1, 22), 'Northern Ireland', 474)]"
- ]
- },
- "execution_count": 68,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "%sql select * from all_causes_deaths where year = 2021 limit 10"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 69,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
- " .dataframe tbody tr th:only-of-type {\n",
- " vertical-align: middle;\n",
- " }\n",
- "\n",
- " .dataframe tbody tr th {\n",
- " vertical-align: top;\n",
- " }\n",
- "\n",
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- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>week</th>\n",
- " <th>date_up_to</th>\n",
- " <th>year</th>\n",
- " <th>nation</th>\n",
- " <th>deaths</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>0</th>\n",
- " <td>1</td>\n",
- " <td>2021-01-08 00:00:00</td>\n",
- " <td>2021</td>\n",
- " <td>England</td>\n",
- " <td>16553</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>2</td>\n",
- " <td>2021-01-15 00:00:00</td>\n",
- " <td>2021</td>\n",
- " <td>England</td>\n",
- " <td>16872</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>3</td>\n",
- " <td>2021-01-22 00:00:00</td>\n",
- " <td>2021</td>\n",
- " <td>England</td>\n",
- " <td>17599</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>4</td>\n",
- " <td>2021-01-29 00:00:00</td>\n",
- " <td>2021</td>\n",
- " <td>England</td>\n",
- " <td>17474</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " week date_up_to year nation deaths\n",
- "0 1 2021-01-08 00:00:00 2021 England 16553\n",
- "1 2 2021-01-15 00:00:00 2021 England 16872\n",
- "2 3 2021-01-22 00:00:00 2021 England 17599\n",
- "3 4 2021-01-29 00:00:00 2021 England 17474"
- ]
- },
- "execution_count": 69,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "rd = eng_xls.iloc[1:][['Week ended', 'Total deaths, all ages (2021)', 'Wales']].reset_index(level=0).rename(\n",
- " columns={'Week ended': 'date_up_to', \n",
- " 'Total deaths, all ages (2021)': 'ew_deaths',\n",
- " 'Wales': 'w_deaths',\n",
- " 'index': 'week'}\n",
- " )\n",
- "rd['year'] = 2021\n",
- "rd['nation'] = 'England'\n",
- "rd['deaths'] = rd['ew_deaths'] - rd['w_deaths']\n",
- "rd.drop(labels=['ew_deaths', 'w_deaths'], axis='columns', inplace=True)\n",
- "rd.dropna(inplace=True)\n",
- "rd.tail()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 70,
- "metadata": {},
- "outputs": [],
- "source": [
- "query_string = '''\n",
- "delete from all_causes_deaths\n",
- "where nation = 'England'\n",
- " and year = 2021;\n",
- "'''\n",
- "with engine.connect() as connection:\n",
- " connection.execute(query_string)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 71,
- "metadata": {},
- "outputs": [],
- "source": [
- "rd.to_sql(\n",
- " 'all_causes_deaths',\n",
- " engine,\n",
- " if_exists='append',\n",
- " index=False)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 72,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "4 rows affected.\n"
- ]
- },
- {
- "data": {
- "text/html": [
- "<table>\n",
- " <thead>\n",
- " <tr>\n",
- " <th>nation</th>\n",
- " <th>sum</th>\n",
- " <th>count</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <td>England</td>\n",
- " <td>68498</td>\n",
- " <td>4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>Northern Ireland</td>\n",
- " <td>1922</td>\n",
- " <td>4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>Scotland</td>\n",
- " <td>7928</td>\n",
- " <td>5</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>Wales</td>\n",
- " <td>4419</td>\n",
- " <td>4</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>"
- ],
- "text/plain": [
- "[('England', 68498, 4),\n",
- " ('Northern Ireland', 1922, 4),\n",
- " ('Scotland', 7928, 5),\n",
- " ('Wales', 4419, 4)]"
- ]
- },
- "execution_count": 72,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "%sql select nation, sum(deaths), count(*) from all_causes_deaths where year = 2021 group by nation"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 73,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
- " .dataframe tbody tr th:only-of-type {\n",
- " vertical-align: middle;\n",
- " }\n",
- "\n",
- " .dataframe tbody tr th {\n",
- " vertical-align: top;\n",
- " }\n",
- "\n",
- " .dataframe thead th {\n",
- " text-align: right;\n",
- " }\n",
- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>week</th>\n",
- " <th>date_up_to</th>\n",
- " <th>deaths</th>\n",
- " <th>year</th>\n",
- " <th>nation</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>0</th>\n",
- " <td>1</td>\n",
- " <td>2021-01-08</td>\n",
- " <td>568.0</td>\n",
- " <td>2021</td>\n",
- " <td>Northern Ireland</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>2</td>\n",
- " <td>2021-01-15</td>\n",
- " <td>443.0</td>\n",
- " <td>2021</td>\n",
- " <td>Northern Ireland</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>3</td>\n",
- " <td>2021-01-22</td>\n",
- " <td>474.0</td>\n",
- " <td>2021</td>\n",
- " <td>Northern Ireland</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>4</td>\n",
- " <td>2021-01-29</td>\n",
- " <td>437.0</td>\n",
- " <td>2021</td>\n",
- " <td>Northern Ireland</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>5</td>\n",
- " <td>2021-02-05</td>\n",
- " <td>462.0</td>\n",
- " <td>2021</td>\n",
- " <td>Northern Ireland</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " week date_up_to deaths year nation\n",
- "0 1 2021-01-08 568.0 2021 Northern Ireland\n",
- "1 2 2021-01-15 443.0 2021 Northern Ireland\n",
- "2 3 2021-01-22 474.0 2021 Northern Ireland\n",
- "3 4 2021-01-29 437.0 2021 Northern Ireland\n",
- "4 5 2021-02-05 462.0 2021 Northern Ireland"
- ]
- },
- "execution_count": 73,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "ni_xls = pd.read_excel(n_ireland_filename, \n",
- " sheet_name='Table 1',\n",
- " skiprows=[0, 1, 2, 3],\n",
- " header=0,\n",
- " ).rename(\n",
- " columns={'Week Ending (Friday)': 'date_up_to', 'Total Number of Deaths Registered in Week (2021P)': 'deaths',\n",
- " 'Registration Week': 'week'})\n",
- "rd = ni_xls[ni_xls['deaths'].notna()][['week', 'date_up_to', 'deaths']]\n",
- "rd['year'] = 2021\n",
- "rd['nation'] = 'Northern Ireland'\n",
- "rd"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 74,
- "metadata": {},
- "outputs": [],
- "source": [
- "query_string = '''\n",
- "delete from all_causes_deaths\n",
- "where nation = 'Northern Ireland'\n",
- " and year = 2021;\n",
- "'''\n",
- "with engine.connect() as connection:\n",
- " connection.execute(query_string)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 75,
- "metadata": {},
- "outputs": [],
- "source": [
- "rd.to_sql(\n",
- " 'all_causes_deaths',\n",
- " engine,\n",
- " if_exists='append',\n",
- " index=False)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 76,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "4 rows affected.\n"
- ]
- },
- {
- "data": {
- "text/html": [
- "<table>\n",
- " <thead>\n",
- " <tr>\n",
- " <th>nation</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <td>England</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>Wales</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>Scotland</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>Northern Ireland</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>"
- ],
- "text/plain": [
- "[('England',), ('Wales',), ('Scotland',), ('Northern Ireland',)]"
- ]
- },
- "execution_count": 76,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "%sql select nation from all_causes_deaths group by nation"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 77,
- "metadata": {},
- "outputs": [],
- "source": [
- "# sco_xls = pd.read_excel(scotland_filename, \n",
- "# sheet_name=\"2.2_excess\",\n",
- "# skiprows=[0, 1, 2, 3],\n",
- "# skipfooter=3,\n",
- "# header=0,\n",
- "# index_col=[1]\n",
- "# ).iloc[:91].T"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 78,
- "metadata": {},
- "outputs": [],
- "source": [
- "import openpyxl"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 79,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<openpyxl.worksheet._read_only.ReadOnlyWorksheet at 0x7f872dd50cd0>"
- ]
- },
- "execution_count": 79,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "wb = openpyxl.load_workbook(scotland_filename, read_only=True)#, data_only=True, keep_links=False)\n",
- "sheet = wb.worksheets[7]\n",
- "sheet"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 80,
- "metadata": {},
- "outputs": [],
- "source": [
- "sheet.reset_dimensions()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 81,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
- " .dataframe tbody tr th:only-of-type {\n",
- " vertical-align: middle;\n",
- " }\n",
- "\n",
- " .dataframe tbody tr th {\n",
- " vertical-align: top;\n",
- " }\n",
- "\n",
- " .dataframe thead th {\n",
- " text-align: right;\n",
- " }\n",
- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>week</th>\n",
- " <th>date_up_to</th>\n",
- " <th>deaths</th>\n",
- " <th>year</th>\n",
- " <th>nation</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>53</th>\n",
- " <td>1</td>\n",
- " <td>2021-01-04</td>\n",
- " <td>1720.0</td>\n",
- " <td>2021</td>\n",
- " <td>Scotland</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>54</th>\n",
- " <td>2</td>\n",
- " <td>2021-01-11</td>\n",
- " <td>1550.0</td>\n",
- " <td>2021</td>\n",
- " <td>Scotland</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>55</th>\n",
- " <td>3</td>\n",
- " <td>2021-01-18</td>\n",
- " <td>1559.0</td>\n",
- " <td>2021</td>\n",
- " <td>Scotland</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>56</th>\n",
- " <td>4</td>\n",
- " <td>2021-01-25</td>\n",
- " <td>1604.0</td>\n",
- " <td>2021</td>\n",
- " <td>Scotland</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>57</th>\n",
- " <td>5</td>\n",
- " <td>2021-02-01</td>\n",
- " <td>1495.0</td>\n",
- " <td>2021</td>\n",
- " <td>Scotland</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " week date_up_to deaths year nation\n",
- "53 1 2021-01-04 1720.0 2021 Scotland\n",
- "54 2 2021-01-11 1550.0 2021 Scotland\n",
- "55 3 2021-01-18 1559.0 2021 Scotland\n",
- "56 4 2021-01-25 1604.0 2021 Scotland\n",
- "57 5 2021-02-01 1495.0 2021 Scotland"
- ]
- },
- "execution_count": 81,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "scot_elems = [[value for value in row] for row in sheet.values]\n",
- "scot_cols = scot_elems[3]\n",
- "scot_dicts = [{k: v for k, v in zip(scot_cols, row)} for row in scot_elems[4:]]\n",
- "scot_data = pd.DataFrame(scot_dicts)\n",
- "rd = scot_data[scot_data.date >= '2021'].rename(\n",
- " columns={'week_number': 'week', 'date': 'date_up_to', 'total_deaths': 'deaths'})[['week', 'date_up_to', 'deaths']]\n",
- "rd['year'] = 2021\n",
- "rd['nation'] = 'Scotland'\n",
- "rd"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 82,
- "metadata": {},
- "outputs": [],
- "source": [
- "query_string = '''\n",
- "delete from all_causes_deaths\n",
- "where nation = 'Scotland'\n",
- " and year = 2021;\n",
- "'''\n",
- "with engine.connect() as connection:\n",
- " connection.execute(query_string)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 83,
- "metadata": {},
- "outputs": [],
- "source": [
- "rd.to_sql(\n",
- " 'all_causes_deaths',\n",
- " engine,\n",
- " if_exists='append',\n",
- " index=False)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 84,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- " * postgresql://covid:***@localhost/covid\n",
- "4 rows affected.\n"
- ]
- },
- {
- "data": {
- "text/html": [
- "<table>\n",
- " <thead>\n",
- " <tr>\n",
- " <th>nation</th>\n",
- " <th>sum</th>\n",
- " <th>count</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <td>England</td>\n",
- " <td>68498</td>\n",
- " <td>4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>Northern Ireland</td>\n",
- " <td>2384</td>\n",
- " <td>5</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>Scotland</td>\n",
- " <td>7928</td>\n",
- " <td>5</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>Wales</td>\n",
- " <td>4419</td>\n",
- " <td>4</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>"
- ],
- "text/plain": [
- "[('England', 68498, 4),\n",
- " ('Northern Ireland', 2384, 5),\n",
- " ('Scotland', 7928, 5),\n",
- " ('Wales', 4419, 4)]"
- ]
- },
- "execution_count": 84,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "%sql select nation, sum(deaths), count(*) from all_causes_deaths where year = 2021 group by nation"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "# Create graphs"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 85,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
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- " <tr style=\"text-align: right;\">\n",
- " <th>year</th>\n",
- " <th>2015</th>\n",
- " <th>2016</th>\n",
- " <th>2017</th>\n",
- " <th>2018</th>\n",
- " <th>2019</th>\n",
- " <th>2020</th>\n",
- " <th>2021</th>\n",
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- " <th>week</th>\n",
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- " <th></th>\n",
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- " <tbody>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>11561.0</td>\n",
- " <td>12236.0</td>\n",
- " <td>11247.0</td>\n",
- " <td>11940.0</td>\n",
- " <td>10237.0</td>\n",
- " <td>11467.0</td>\n",
- " <td>16553.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>15206.0</td>\n",
- " <td>10790.0</td>\n",
- " <td>12890.0</td>\n",
- " <td>14146.0</td>\n",
- " <td>11800.0</td>\n",
- " <td>13119.0</td>\n",
- " <td>16872.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>13930.0</td>\n",
- " <td>10753.0</td>\n",
- " <td>12775.0</td>\n",
- " <td>13371.0</td>\n",
- " <td>11177.0</td>\n",
- " <td>12223.0</td>\n",
- " <td>17599.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>13106.0</td>\n",
- " <td>10600.0</td>\n",
- " <td>11996.0</td>\n",
- " <td>13085.0</td>\n",
- " <td>11006.0</td>\n",
- " <td>11133.0</td>\n",
- " <td>17474.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>5</th>\n",
- " <td>12099.0</td>\n",
- " <td>10362.0</td>\n",
- " <td>11736.0</td>\n",
- " <td>12470.0</td>\n",
- " <td>10552.0</td>\n",
- " <td>10885.0</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- "year 2015 2016 2017 2018 2019 2020 2021\n",
- "week \n",
- "1 11561.0 12236.0 11247.0 11940.0 10237.0 11467.0 16553.0\n",
- "2 15206.0 10790.0 12890.0 14146.0 11800.0 13119.0 16872.0\n",
- "3 13930.0 10753.0 12775.0 13371.0 11177.0 12223.0 17599.0\n",
- "4 13106.0 10600.0 11996.0 13085.0 11006.0 11133.0 17474.0\n",
- "5 12099.0 10362.0 11736.0 12470.0 10552.0 10885.0 NaN"
- ]
- },
- "execution_count": 85,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "qstr = '''select week, year, deaths\n",
- "from all_causes_deaths\n",
- "where nation = 'England' '''\n",
- "deaths_e = pd.read_sql_query(qstr, engine).pivot(index='week', columns='year', values='deaths')\n",
- "deaths_e.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 86,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
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- " <th>year</th>\n",
- " <th>2015</th>\n",
- " <th>2016</th>\n",
- " <th>2017</th>\n",
- " <th>2018</th>\n",
- " <th>2019</th>\n",
- " <th>2020</th>\n",
- " <th>2021</th>\n",
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- " <th></th>\n",
- " <th></th>\n",
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- " <tr>\n",
- " <th>1</th>\n",
- " <td>725.0</td>\n",
- " <td>809.0</td>\n",
- " <td>744.0</td>\n",
- " <td>783.0</td>\n",
- " <td>718.0</td>\n",
- " <td>787.0</td>\n",
- " <td>1198.0</td>\n",
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- " <tr>\n",
- " <th>2</th>\n",
- " <td>1031.0</td>\n",
- " <td>711.0</td>\n",
- " <td>825.0</td>\n",
- " <td>904.0</td>\n",
- " <td>809.0</td>\n",
- " <td>939.0</td>\n",
- " <td>1170.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>936.0</td>\n",
- " <td>720.0</td>\n",
- " <td>835.0</td>\n",
- " <td>885.0</td>\n",
- " <td>683.0</td>\n",
- " <td>767.0</td>\n",
- " <td>1077.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>828.0</td>\n",
- " <td>717.0</td>\n",
- " <td>881.0</td>\n",
- " <td>850.0</td>\n",
- " <td>734.0</td>\n",
- " <td>723.0</td>\n",
- " <td>974.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>5</th>\n",
- " <td>801.0</td>\n",
- " <td>690.0</td>\n",
- " <td>749.0</td>\n",
- " <td>815.0</td>\n",
- " <td>745.0</td>\n",
- " <td>727.0</td>\n",
- " <td>NaN</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- "year 2015 2016 2017 2018 2019 2020 2021\n",
- "week \n",
- "1 725.0 809.0 744.0 783.0 718.0 787.0 1198.0\n",
- "2 1031.0 711.0 825.0 904.0 809.0 939.0 1170.0\n",
- "3 936.0 720.0 835.0 885.0 683.0 767.0 1077.0\n",
- "4 828.0 717.0 881.0 850.0 734.0 723.0 974.0\n",
- "5 801.0 690.0 749.0 815.0 745.0 727.0 NaN"
- ]
- },
- "execution_count": 86,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "qstr = '''select week, year, deaths\n",
- "from all_causes_deaths\n",
- "where nation = 'Wales' '''\n",
- "deaths_w = pd.read_sql_query(qstr, engine).pivot(index='week', columns='year', values='deaths')\n",
- "deaths_w.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 87,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
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- " <th>2019</th>\n",
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- " <tr>\n",
- " <th>1</th>\n",
- " <td>1146.0</td>\n",
- " <td>1394.0</td>\n",
- " <td>1205.0</td>\n",
- " <td>1531.0</td>\n",
- " <td>1104.0</td>\n",
- " <td>1161.0</td>\n",
- " <td>1720.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>1708.0</td>\n",
- " <td>1305.0</td>\n",
- " <td>1379.0</td>\n",
- " <td>1899.0</td>\n",
- " <td>1507.0</td>\n",
- " <td>1567.0</td>\n",
- " <td>1550.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>1489.0</td>\n",
- " <td>1215.0</td>\n",
- " <td>1224.0</td>\n",
- " <td>1629.0</td>\n",
- " <td>1353.0</td>\n",
- " <td>1322.0</td>\n",
- " <td>1559.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>1381.0</td>\n",
- " <td>1187.0</td>\n",
- " <td>1197.0</td>\n",
- " <td>1610.0</td>\n",
- " <td>1208.0</td>\n",
- " <td>1226.0</td>\n",
- " <td>1604.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>5</th>\n",
- " <td>1286.0</td>\n",
- " <td>1205.0</td>\n",
- " <td>1332.0</td>\n",
- " <td>1369.0</td>\n",
- " <td>1206.0</td>\n",
- " <td>1188.0</td>\n",
- " <td>1495.0</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- "year 2015 2016 2017 2018 2019 2020 2021\n",
- "week \n",
- "1 1146.0 1394.0 1205.0 1531.0 1104.0 1161.0 1720.0\n",
- "2 1708.0 1305.0 1379.0 1899.0 1507.0 1567.0 1550.0\n",
- "3 1489.0 1215.0 1224.0 1629.0 1353.0 1322.0 1559.0\n",
- "4 1381.0 1187.0 1197.0 1610.0 1208.0 1226.0 1604.0\n",
- "5 1286.0 1205.0 1332.0 1369.0 1206.0 1188.0 1495.0"
- ]
- },
- "execution_count": 87,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "qstr = '''select week, year, deaths\n",
- "from all_causes_deaths\n",
- "where nation = 'Scotland' '''\n",
- "deaths_s = pd.read_sql_query(qstr, engine).pivot(index='week', columns='year', values='deaths')\n",
- "deaths_s.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 88,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
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- " <th>year</th>\n",
- " <th>2015</th>\n",
- " <th>2016</th>\n",
- " <th>2017</th>\n",
- " <th>2018</th>\n",
- " <th>2019</th>\n",
- " <th>2020</th>\n",
- " <th>2021</th>\n",
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- " <th>week</th>\n",
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- " <tr>\n",
- " <th>1</th>\n",
- " <td>319.0</td>\n",
- " <td>424.0</td>\n",
- " <td>416.0</td>\n",
- " <td>447.0</td>\n",
- " <td>365.0</td>\n",
- " <td>353.0</td>\n",
- " <td>568.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>373.0</td>\n",
- " <td>348.0</td>\n",
- " <td>434.0</td>\n",
- " <td>481.0</td>\n",
- " <td>371.0</td>\n",
- " <td>395.0</td>\n",
- " <td>443.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>383.0</td>\n",
- " <td>372.0</td>\n",
- " <td>397.0</td>\n",
- " <td>470.0</td>\n",
- " <td>332.0</td>\n",
- " <td>411.0</td>\n",
- " <td>474.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>397.0</td>\n",
- " <td>355.0</td>\n",
- " <td>387.0</td>\n",
- " <td>426.0</td>\n",
- " <td>335.0</td>\n",
- " <td>347.0</td>\n",
- " <td>437.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>5</th>\n",
- " <td>374.0</td>\n",
- " <td>314.0</td>\n",
- " <td>371.0</td>\n",
- " <td>433.0</td>\n",
- " <td>296.0</td>\n",
- " <td>323.0</td>\n",
- " <td>462.0</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- "year 2015 2016 2017 2018 2019 2020 2021\n",
- "week \n",
- "1 319.0 424.0 416.0 447.0 365.0 353.0 568.0\n",
- "2 373.0 348.0 434.0 481.0 371.0 395.0 443.0\n",
- "3 383.0 372.0 397.0 470.0 332.0 411.0 474.0\n",
- "4 397.0 355.0 387.0 426.0 335.0 347.0 437.0\n",
- "5 374.0 314.0 371.0 433.0 296.0 323.0 462.0"
- ]
- },
- "execution_count": 88,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "qstr = '''select week, year, deaths\n",
- "from all_causes_deaths\n",
- "where nation = 'Northern Ireland' '''\n",
- "deaths_i = pd.read_sql_query(qstr, engine).pivot(index='week', columns='year', values='deaths')\n",
- "deaths_i.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 89,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
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- " <th></th>\n",
- " <th>2015</th>\n",
- " <th>2016</th>\n",
- " <th>2017</th>\n",
- " <th>2018</th>\n",
- " <th>2019</th>\n",
- " <th>2020</th>\n",
- " <th>2021</th>\n",
- " <th>prev_mean</th>\n",
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- " <tr>\n",
- " <th>week</th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
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- " <th>1</th>\n",
- " <td>11561.0</td>\n",
- " <td>12236.0</td>\n",
- " <td>11247.0</td>\n",
- " <td>11940.0</td>\n",
- " <td>10237.0</td>\n",
- " <td>11467.0</td>\n",
- " <td>16553.0</td>\n",
- " <td>11444.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>15206.0</td>\n",
- " <td>10790.0</td>\n",
- " <td>12890.0</td>\n",
- " <td>14146.0</td>\n",
- " <td>11800.0</td>\n",
- " <td>13119.0</td>\n",
- " <td>16872.0</td>\n",
- " <td>12966.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>13930.0</td>\n",
- " <td>10753.0</td>\n",
- " <td>12775.0</td>\n",
- " <td>13371.0</td>\n",
- " <td>11177.0</td>\n",
- " <td>12223.0</td>\n",
- " <td>17599.0</td>\n",
- " <td>12401.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>13106.0</td>\n",
- " <td>10600.0</td>\n",
- " <td>11996.0</td>\n",
- " <td>13085.0</td>\n",
- " <td>11006.0</td>\n",
- " <td>11133.0</td>\n",
- " <td>17474.0</td>\n",
- " <td>11958.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>5</th>\n",
- " <td>12099.0</td>\n",
- " <td>10362.0</td>\n",
- " <td>11736.0</td>\n",
- " <td>12470.0</td>\n",
- " <td>10552.0</td>\n",
- " <td>10885.0</td>\n",
- " <td>NaN</td>\n",
- " <td>11443.8</td>\n",
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- ],
- "text/plain": [
- " 2015 2016 2017 2018 2019 2020 2021 prev_mean\n",
- "week \n",
- "1 11561.0 12236.0 11247.0 11940.0 10237.0 11467.0 16553.0 11444.2\n",
- "2 15206.0 10790.0 12890.0 14146.0 11800.0 13119.0 16872.0 12966.4\n",
- "3 13930.0 10753.0 12775.0 13371.0 11177.0 12223.0 17599.0 12401.2\n",
- "4 13106.0 10600.0 11996.0 13085.0 11006.0 11133.0 17474.0 11958.6\n",
- "5 12099.0 10362.0 11736.0 12470.0 10552.0 10885.0 NaN 11443.8"
- ]
- },
- "execution_count": 89,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "qstr = '''select week, avg(deaths) as prev_mean\n",
- "from all_causes_deaths\n",
- "where year <= 2019 and nation='England' \n",
- "group by week\n",
- "order by week'''\n",
- "deaths_prev = pd.read_sql_query(qstr, engine, index_col='week')\n",
- "deaths_prev.head()\n",
- "deaths_e = deaths_e.merge(deaths_prev, on='week')\n",
- "deaths_e.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 90,
- "metadata": {},
- "outputs": [
- {
- "data": {
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- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>2015</th>\n",
- " <th>2016</th>\n",
- " <th>2017</th>\n",
- " <th>2018</th>\n",
- " <th>2019</th>\n",
- " <th>2020</th>\n",
- " <th>2021</th>\n",
- " <th>prev_mean</th>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>week</th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
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- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>725.0</td>\n",
- " <td>809.0</td>\n",
- " <td>744.0</td>\n",
- " <td>783.0</td>\n",
- " <td>718.0</td>\n",
- " <td>787.0</td>\n",
- " <td>1198.0</td>\n",
- " <td>755.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>1031.0</td>\n",
- " <td>711.0</td>\n",
- " <td>825.0</td>\n",
- " <td>904.0</td>\n",
- " <td>809.0</td>\n",
- " <td>939.0</td>\n",
- " <td>1170.0</td>\n",
- " <td>856.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>936.0</td>\n",
- " <td>720.0</td>\n",
- " <td>835.0</td>\n",
- " <td>885.0</td>\n",
- " <td>683.0</td>\n",
- " <td>767.0</td>\n",
- " <td>1077.0</td>\n",
- " <td>811.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>828.0</td>\n",
- " <td>717.0</td>\n",
- " <td>881.0</td>\n",
- " <td>850.0</td>\n",
- " <td>734.0</td>\n",
- " <td>723.0</td>\n",
- " <td>974.0</td>\n",
- " <td>802.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>5</th>\n",
- " <td>801.0</td>\n",
- " <td>690.0</td>\n",
- " <td>749.0</td>\n",
- " <td>815.0</td>\n",
- " <td>745.0</td>\n",
- " <td>727.0</td>\n",
- " <td>NaN</td>\n",
- " <td>760.0</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " 2015 2016 2017 2018 2019 2020 2021 prev_mean\n",
- "week \n",
- "1 725.0 809.0 744.0 783.0 718.0 787.0 1198.0 755.8\n",
- "2 1031.0 711.0 825.0 904.0 809.0 939.0 1170.0 856.0\n",
- "3 936.0 720.0 835.0 885.0 683.0 767.0 1077.0 811.8\n",
- "4 828.0 717.0 881.0 850.0 734.0 723.0 974.0 802.0\n",
- "5 801.0 690.0 749.0 815.0 745.0 727.0 NaN 760.0"
- ]
- },
- "execution_count": 90,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "qstr = '''select week, avg(deaths) as prev_mean\n",
- "from all_causes_deaths\n",
- "where year <= 2019 and nation='Wales' \n",
- "group by week\n",
- "order by week'''\n",
- "deaths_prev = pd.read_sql_query(qstr, engine, index_col='week')\n",
- "deaths_prev.head()\n",
- "deaths_w = deaths_w.merge(deaths_prev, on='week')\n",
- "deaths_w.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 91,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
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- " <th></th>\n",
- " <th>2015</th>\n",
- " <th>2016</th>\n",
- " <th>2017</th>\n",
- " <th>2018</th>\n",
- " <th>2019</th>\n",
- " <th>2020</th>\n",
- " <th>2021</th>\n",
- " <th>prev_mean</th>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>week</th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>1146.0</td>\n",
- " <td>1394.0</td>\n",
- " <td>1205.0</td>\n",
- " <td>1531.0</td>\n",
- " <td>1104.0</td>\n",
- " <td>1161.0</td>\n",
- " <td>1720.0</td>\n",
- " <td>1276.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>1708.0</td>\n",
- " <td>1305.0</td>\n",
- " <td>1379.0</td>\n",
- " <td>1899.0</td>\n",
- " <td>1507.0</td>\n",
- " <td>1567.0</td>\n",
- " <td>1550.0</td>\n",
- " <td>1559.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>1489.0</td>\n",
- " <td>1215.0</td>\n",
- " <td>1224.0</td>\n",
- " <td>1629.0</td>\n",
- " <td>1353.0</td>\n",
- " <td>1322.0</td>\n",
- " <td>1559.0</td>\n",
- " <td>1382.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>1381.0</td>\n",
- " <td>1187.0</td>\n",
- " <td>1197.0</td>\n",
- " <td>1610.0</td>\n",
- " <td>1208.0</td>\n",
- " <td>1226.0</td>\n",
- " <td>1604.0</td>\n",
- " <td>1316.6</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>5</th>\n",
- " <td>1286.0</td>\n",
- " <td>1205.0</td>\n",
- " <td>1332.0</td>\n",
- " <td>1369.0</td>\n",
- " <td>1206.0</td>\n",
- " <td>1188.0</td>\n",
- " <td>1495.0</td>\n",
- " <td>1279.6</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " 2015 2016 2017 2018 2019 2020 2021 prev_mean\n",
- "week \n",
- "1 1146.0 1394.0 1205.0 1531.0 1104.0 1161.0 1720.0 1276.0\n",
- "2 1708.0 1305.0 1379.0 1899.0 1507.0 1567.0 1550.0 1559.6\n",
- "3 1489.0 1215.0 1224.0 1629.0 1353.0 1322.0 1559.0 1382.0\n",
- "4 1381.0 1187.0 1197.0 1610.0 1208.0 1226.0 1604.0 1316.6\n",
- "5 1286.0 1205.0 1332.0 1369.0 1206.0 1188.0 1495.0 1279.6"
- ]
- },
- "execution_count": 91,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "qstr = '''select week, avg(deaths) as prev_mean\n",
- "from all_causes_deaths\n",
- "where year <= 2019 and nation='Scotland' \n",
- "group by week\n",
- "order by week'''\n",
- "deaths_prev = pd.read_sql_query(qstr, engine, index_col='week')\n",
- "deaths_prev.head()\n",
- "deaths_s = deaths_s.merge(deaths_prev, on='week')\n",
- "deaths_s.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 92,
- "metadata": {},
- "outputs": [
- {
- "data": {
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- " <th></th>\n",
- " <th>2015</th>\n",
- " <th>2016</th>\n",
- " <th>2017</th>\n",
- " <th>2018</th>\n",
- " <th>2019</th>\n",
- " <th>2020</th>\n",
- " <th>2021</th>\n",
- " <th>prev_mean</th>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>week</th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>319.0</td>\n",
- " <td>424.0</td>\n",
- " <td>416.0</td>\n",
- " <td>447.0</td>\n",
- " <td>365.0</td>\n",
- " <td>353.0</td>\n",
- " <td>568.0</td>\n",
- " <td>394.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>373.0</td>\n",
- " <td>348.0</td>\n",
- " <td>434.0</td>\n",
- " <td>481.0</td>\n",
- " <td>371.0</td>\n",
- " <td>395.0</td>\n",
- " <td>443.0</td>\n",
- " <td>401.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>383.0</td>\n",
- " <td>372.0</td>\n",
- " <td>397.0</td>\n",
- " <td>470.0</td>\n",
- " <td>332.0</td>\n",
- " <td>411.0</td>\n",
- " <td>474.0</td>\n",
- " <td>390.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>397.0</td>\n",
- " <td>355.0</td>\n",
- " <td>387.0</td>\n",
- " <td>426.0</td>\n",
- " <td>335.0</td>\n",
- " <td>347.0</td>\n",
- " <td>437.0</td>\n",
- " <td>380.0</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>5</th>\n",
- " <td>374.0</td>\n",
- " <td>314.0</td>\n",
- " <td>371.0</td>\n",
- " <td>433.0</td>\n",
- " <td>296.0</td>\n",
- " <td>323.0</td>\n",
- " <td>462.0</td>\n",
- " <td>357.6</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " 2015 2016 2017 2018 2019 2020 2021 prev_mean\n",
- "week \n",
- "1 319.0 424.0 416.0 447.0 365.0 353.0 568.0 394.2\n",
- "2 373.0 348.0 434.0 481.0 371.0 395.0 443.0 401.4\n",
- "3 383.0 372.0 397.0 470.0 332.0 411.0 474.0 390.8\n",
- "4 397.0 355.0 387.0 426.0 335.0 347.0 437.0 380.0\n",
- "5 374.0 314.0 371.0 433.0 296.0 323.0 462.0 357.6"
- ]
- },
- "execution_count": 92,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "qstr = '''select week, avg(deaths) as prev_mean\n",
- "from all_causes_deaths\n",
- "where year <= 2019 and nation='Northern Ireland' \n",
- "group by week\n",
- "order by week'''\n",
- "deaths_prev = pd.read_sql_query(qstr, engine, index_col='week')\n",
- "deaths_prev.head()\n",
- "deaths_i = deaths_i.merge(deaths_prev, on='week')\n",
- "deaths_i.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 93,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/html": [
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- " <th></th>\n",
- " <th>2015</th>\n",
- " <th>2016</th>\n",
- " <th>2017</th>\n",
- " <th>2018</th>\n",
- " <th>2019</th>\n",
- " <th>2020</th>\n",
- " <th>2021</th>\n",
- " <th>prev_mean</th>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>week</th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " <th></th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>13751.0</td>\n",
- " <td>14863.0</td>\n",
- " <td>13612.0</td>\n",
- " <td>14701.0</td>\n",
- " <td>12424.0</td>\n",
- " <td>13768.0</td>\n",
- " <td>20039.0</td>\n",
- " <td>13870.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>18318.0</td>\n",
- " <td>13154.0</td>\n",
- " <td>15528.0</td>\n",
- " <td>17430.0</td>\n",
- " <td>14487.0</td>\n",
- " <td>16020.0</td>\n",
- " <td>20035.0</td>\n",
- " <td>15783.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>16738.0</td>\n",
- " <td>13060.0</td>\n",
- " <td>15231.0</td>\n",
- " <td>16355.0</td>\n",
- " <td>13545.0</td>\n",
- " <td>14723.0</td>\n",
- " <td>20709.0</td>\n",
- " <td>14985.8</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>15712.0</td>\n",
- " <td>12859.0</td>\n",
- " <td>14461.0</td>\n",
- " <td>15971.0</td>\n",
- " <td>13283.0</td>\n",
- " <td>13429.0</td>\n",
- " <td>20489.0</td>\n",
- " <td>14457.2</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>5</th>\n",
- " <td>14560.0</td>\n",
- " <td>12571.0</td>\n",
- " <td>14188.0</td>\n",
- " <td>15087.0</td>\n",
- " <td>12799.0</td>\n",
- " <td>13123.0</td>\n",
- " <td>NaN</td>\n",
- " <td>13841.0</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " 2015 2016 2017 2018 2019 2020 2021 prev_mean\n",
- "week \n",
- "1 13751.0 14863.0 13612.0 14701.0 12424.0 13768.0 20039.0 13870.2\n",
- "2 18318.0 13154.0 15528.0 17430.0 14487.0 16020.0 20035.0 15783.4\n",
- "3 16738.0 13060.0 15231.0 16355.0 13545.0 14723.0 20709.0 14985.8\n",
- "4 15712.0 12859.0 14461.0 15971.0 13283.0 13429.0 20489.0 14457.2\n",
- "5 14560.0 12571.0 14188.0 15087.0 12799.0 13123.0 NaN 13841.0"
- ]
- },
- "execution_count": 93,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "deaths = deaths_e + deaths_w + deaths_i + deaths_s\n",
- "deaths.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 94,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<AxesSubplot:xlabel='week'>"
- ]
- },
- "execution_count": 94,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
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\n",
- "text/plain": [
- "<Figure size 1008x576 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "deaths[[2021, 2020, 2019, 2018, 2017, 2016, 2015]].plot(figsize=(14, 8))"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 95,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<AxesSubplot:xlabel='week'>"
- ]
- },
- "execution_count": 95,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 720x576 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "deaths[[2021, 2020, 'prev_mean']].plot(figsize=(10, 8))"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 96,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<AxesSubplot:xlabel='week'>"
- ]
- },
- "execution_count": 96,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
- "image/png": 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w7u3LvRoy/hctOKQMafYad+v2OtQBOvSpgQBoIyPRBAmkx4ptb/8rCj12N+YN1RiGh6AN9z31F3COUF9yELvVQtyIbALCIwmMjKJs944zPSwFBYV+GLRxF0KohRA7hRCfdf39ByFElRAit+vn4sPaPiKEKBJC5Ash5p+KgR9O++ef4zNmDNroaIRWjTCo8XQ4cbfbsRW04DsmAqE6FBc2Tp6Ms3I7toIWPI6+RaIsW2qRnS78Zipe++FU7NsNQNyIbAASskZTkbcXt0spSq6gcLZxPJ77/cD+I7b9XUqZ0/WzHEAIMRy4ARgBLABeEEKoh2S0/WArKMBeWIj/wp57S0+hbMuOepDgO6Z3WptxymRcFduQTg/2wt6hGenyYF5biT45AH388ec/n89U7NtNcHQspqBgABJGjcZp66SmIP8Mj0xBQeFIBmXchRCxwELg/wbR/HLgXSmlXUpZAhQBE058iEenfcUKUKnwn3/oAUFl8hp36/Y6dAn+aMN6h1Z8J0zA3VIEwkXnvt4pkdad9bjbHfjNVFawHo7b5aLyQF6P1w4QPyIboVJRuluJuysonG0M1nP/B/Ar4MgKGD8WQuwWQrwihAjq2hYDVBzWprJrWy+EEPcIIbYJIbZ15wofL1JK2j9fjnHSRDShoT3b1X5aHBUduBo6MY6L6HOc2s8Pn5Ej8LQX0bm/Gen2Xpb0SDq+q0QbbUSfFnhCYzpfqTtYiNPW2cu4632NRKVlKHF3BYWzkGMadyHEJUC9lHL7EbsWASlADlAD/K37kH666ZN7JqV8UUo5Tko5Liws7LgG3Y1t7z6c5eX4X3xxr+3qrlqqQqvCJzu032ONUyZj378G2enCXtLm7S+vCVdDJ34z486p3O3TQXd+e9yIrF7bE7JyqD1YdM5IEQyl5O97771HdnY2I0aM4Fe/+tVpvxYFhaMxGM99KnCZEKIUeBeYLYR4U0pZJ6V0Syk9wEscCr1UAofHNGKBU6Kzq42NIeLRR/Gb11vAStVVtMMnKxSVvv9UfuPkybjq9oJK0rmvyfsUsKYCdYgBn5H93xD+lynft5vQ+ER8/QN6bU8cNbpLimD3GRrZ8TFUkr9NTU08+OCDrFq1in379lFXVzdgnryCwpngmMZdSvmIlDJWSpmId6J0tZTyFiHE4St7rgT2dv3+CXCDEEIvhEgC0oAtQzxuADRBQQTfcjPqgN4GRxPgXZnqO7ZvSKYbn1GjEHoNQjRi29eEvagVZ6UZvxmxvTJrFMDldFKdv7+P1w4QmZKO3td4zoRmhkry9+DBg6Snp9P91Dl37lw+/PDD03chCgrH4GRWqP5FCJGDN+RSCtwLIKXcJ4RYAuQBLuBHUsq++YanEJ+sUEL9tBhSAgdsI3Q6fMePw1GyCW38pbQsLULlp8U4ZuAbwv8qtYX5uBz2XvH2blRqNfEjR1G6+/ikCNYuKaCxwjyk4wyNMzH9uvRBtz8Zyd/U1FQOHDhAaWkpsbGxfPzxxzgcjpMav4LCUHJci5iklGuklJd0/X6rlDJLSpktpbxMSllzWLsnpJQpUsphUsrTXqVaaFQYUoOO2c44eTK2PatAgLvZht+0GIT2vFjXNaSU79sNQhCX2ddzB0jIHk1HYwMtNVWneWQnzslK/gYFBbFo0SKuv/56pk+fTmJiIhrNeaPmoXAe8D/9aTROngLOp1H7OfA4fDD+j2rIOO023C4XBqOp3/0VebsJT0zGYOp/f0L2ISmCwerMHI+HPdQMheQvwKWXXsqll14KwIsvvohafcqWcygoHDfnpXGvtdTyQcEH3DvqXrSq/oXBAPTpaahDQ3E3ryH85w+hMvR+O6TbG00S58mXVno8fPf2azRXV9LZ1oa1vRVrWxtOuw2E4IJb7mTcJVf2OsbpsFNTcICcBZcO2G9gRCSBEVGU7dnJmIsGbnc2cCzJ34cffnhQkr8A9fX1hIeH09LSwgsvvMCSJUtO5dAVFI6L8864Syl5dN2jbK7dTFZoFhfEXTBgWyEExsmTsWz4Bm3UY4f68HhoW/ox9X/7G6ZZM4l+4onTMPJTT0ttDds+/YiALmMcGBmFb0AAPv6B1BQe4Ns3XsZutTDl2pt7YufV+ftxu1zE9xNvP5yE7NHkrf0Gt8uJWjPwDfVMM5SSv/fffz+7du0C4He/+x3p6WfuaURB4UjOO+P+UeFHbK7djECwqnzVUY07eOPu7Z9+ir2gEMOwdDr37aPu8T/RmZsLajWdubtOz8BPA53t3nz+uXf+gMScsb32eTxuVr74HJs+fBe7xcKs2+9GqFRU7NuDUKmIyRhx1L4TRo1m18rl1BTkEzt85Cm7hpNlKCV/33nnnaEaloLCkHNeGfc6Sx1/3fZXxkeOJ9QnlDUVa3B5XGhUA1+mcfIkANq/WEHLu+/Q+u57qIOCiHrySeyFhbS8+SbS7T4vQjPdC418jshVB1Cp1Fx470/R+/qy/fNl2K0W5t93PxX7dhOZnIbe9+jqmIdLEZzNxl1B4X+F88a4Syn506Y/4fK4+OPkP7K/eT8rSlaws34n4yPHD3icNioKXVISTYv+AyoVQbfcQthPfoza35+W95YgnU6cNbXoYvsoKJxzWLs8d58BskOEEFxw613ojSY2LHkLm8VMbXFBnzh8f+h9jUSmpvcoRyooKJxZzm3j3lgE3z0D037GCvNB1lSu4ZfjfkmcfxwhPiHoVDpWla86qnEHCLr1FizfrSXsZw9gGDasZ7suIQEAZ3nZyRl3lx00Z74Yd4/n7jdw6p8QgslX34je18g3r70I0G9+e3+ExiVQtHXTyQ9UQUHhpDm3k7qlG3a/S3PFBp7a8hRZoVncknkLAL5aX6bETGF1+eoBY6zdBN90E3H/WdTLsAPoEr3G3VFWduJjbCyEJ6Ohdu+x255iOtvb0Oj1aPWGY7Ydc9FlXPSjn5M8ZjwxmUePt3cTEBZBZ3sbDlvnyQ5VQUHhJDm3jXtQEgg1TxV/QIezg8emPIZadSg2Pid+DjWWGvKa806oe014OEKvx1FWfuJjbC4BjwsaDpx4H0NEZ0f7Ub32Ixk+YzZXPvR7tLrBPXUEhHtX97bX153Q+BQUFIaOc9u4a3R8ExbPis4K7sm+h9Sg1F67Z8bORC3UrCo7MUEnoVKhi48/Oc/d3qWWaD7zBq+zo72P8NdQEhDurVPb1nDmr1VB4X+dc9q4tzva+ZNRkOZRcdfIu/rsDzQEMjZiLKvLV5/wOXSJCeePcW9vOy7P/Xjp9tzbzmLP/Xglf1euXMnYsWPJyspi7NixrF596LO0fft2srKySE1N5ac//ekxw38KCqeTc9q4l7WVIVVqHq9vQCv6v5TZ8bMpbiumtK30hM6hjY/HWVHRs1r1uLF1G/ejC1GdDjo72vtNgxwqfPwD0Oj1Z7VxP17J39DQUD799FP27NnD4sWLufXWW3v6+sEPfsCLL75IYWEhhYWFfPHFF2fqshQU+nBOG/essCy+yPgBIzot0Np/XHxO/BwAVpWvQkp53JN9uoSEnnTIE8Le4X09Czx3a/vxxdyPFyEEAWERZ7VxP17J39GjRxMdHQ3AiBEjsNls2O12ampqaG9vZ/LkyQghuO2223qOUVA4Gzi3UyEBXfhw7y9NRRCc1Gd/pDGSESEjWFW+ioTNdvI3reO+/7yOepAKfrr4k0yHtJ8dnrvL4cBp6zylxh28oZn2+mPfCL957UXqyw4O6bnDE5KZdcc9g25/vJK/H374IaNHj0av11NVVUVs7CGRtNjYWKqqzh1VTIXzn3PacwcgNM372lgwYJO5CXNp31PMrpXLsXW001xdOejuTzod0nZ2xNw7zd5xnMoJVfBOqrY11J318efjlfzdt28fDz30EP/9738B+r0+pTSjwtnEOe+54xsCPkHefPIBmOg7ioY9IaiDTLhbzDSUlRAWnzio7jXh4QiDAUfpCRr37rCMpRHcLlCfmbe8s/3YC5iGgoDwCBydndjMHUc91/F42EPN8Ur+VlZWcuWVV/L666+TkpICeD31ysrKXm26wzcKZwf7vl2FWqMhY+rR9aXOVwbtuQsh1EKInUKIz7r+DhZCrBRCFHa9Bh3W9hEhRJEQIl8IMf9UDPywgUFI2oDG3e1yseeVd1EJFflzDag1GhrKSgbfvUqFLi4OR/kJ5rp3h2WQYG08sT6GgB7jfgKFKY4H/7M8Y+ZYkr9AL8nf1tZWFi5cyJ///GemTp3a0z4qKgo/Pz82bdqElJLXX399UDLBCqeHhrISvlz0Tz7/1zN8++YrSI/nTA/ptHM8YZn7gf2H/f0wsEpKmQas6vobIcRwvLVWRwALgBeEEKdWdSs0HZoOGXe73U5JSQlSStYveZOaonx0F2ez0ZpLYEzscRl3OMl0SHs70PW4flhoRkqJxe46sT5PAGtHl66M3ykOy4Sd3ca9W/J39erV5OTkkJOTw/Lly3n44YdZuXIlaWlprFy5kocffhiA5557jqKiIh5//PGe9t3x+EWLFnHXXXeRmppKSkoKF1100Zm8NIUupJSsfu2/6E0msubMZ9unH/HJs0/itNnO9NBOK4OKEQghYoGFwBNAt7tzOTCz6/fFwBrgoa7t70op7UCJEKIImABsHLJRH0loKuS+iexs5UBpDStWrKC9vZ20hHhqvviIUXMWEHXhTF75/FMcIToaio/PuGvj4zGv+fbE1CFt7RAYD61lvSZVV+bV8dN3d/Ldg7MI9z+2HMDJcro8956FTIOYVD0THK/k76OPPsqjjz7ab/tx48axd++Zl5VQ6E3BpnVU5u1l7l0/InvuAkJj4/nm9f/jvT8+zBUP/hZTcMiZHuJpYbCe+z+AXwGHP9tEdNdN7XrtDlLGABWHtavs2tYLIcQ9QohtQohtDQ0Nxzvu3oSm04I/b7/9Nu+99x4Gg4Gc7CwKy8pxp2Yx9abbGREyggjfCMr1TVjbWrG0tvQc7vFIbM6B89hPKh3S3nFo0vcwz313ZRs2p4ftZS0DHDi0dHa0gRADlsobKvS+vhhMfrQrq1QVzgBOm41v33iF8MQUsuZciBCCMRdfzhUPPkpzVSVvPfoL6kuHNkvrbOWYxl0IcQlQL6XcPsg++0sZ6OMqSSlflFKOk1KOCwsLG2TXfXG5XKwtdfA8t1Fa3cCFF17IPXffjWt/Lj4NVXRq9bzz3hI6OzuZmzCXbdKr8dIdmrG73Nzw0iYW/mstDlf/cTldQiIAjrLS4x+gvR1CumQRDjPupU0WAHIrWo+/zxOgs70dg8kPlerU69IHhA8u193S2oLTbj/l41H432HLJx/Q0dTA7O/d2+uznjJ2Ijc89heQknd//xBVB05Mb+pcYjCe+1TgMiFEKfAuMFsI8SZQJ4SIAuh67Y45VAJxhx0fC1QP2YgPo66ujv/85z+s2rSLNMr48ViYMmUKxds2UbZ7JwuuuIprr72W6upqXn31VW5KvImIBG+2w+eb38Pj8fDIR3vYUtJMcYOFD7b3nyKpS4gHwHm8k6pOG7gdYAwDfUCvsExZkxU4jca9ox3fU5wp081gFjK5XS46mhq9TxQKCkNAW30tWz/5kMxpM4nJGN5nf3hiMjc/8SxavZ6dX3x6BkZ4ejmmcZdSPiKljJVSJuKdKF0tpbwF+AS4vavZ7cCyrt8/AW4QQuiFEElAGrBlyEcO+Pr6otFouOmmm7g+ZD8BHd5J1eLtW/Dx8yd7znxGjBjBLbfcQltbGx+8+QFPTnkGt1HDvv2buX7pL/hoRxk/m5vOmPhAnltdiN3VNzxzwumQ3WmQhgAwhfd47lLKHs99T1Ubbs+pzwnvbG875fH2bvzDI2hvqDtqhoLLYe96dZyWMSmcO0gpsVutx33cmtdfRqVSM/3mOwZsYwoOIX7kKCoP7Dvr12KcLCeziOkpYJ4QohCY1/U3Usp9wBIgD/gC+JGU8gSFWY6On58f9957r7cwcWg6NBYhPR7Kdu8kIXs0QuW9vKSkJL73ve/h8Xh4c/GbRKfmEN8ZzgHz18QNf5s7poXz83nDqG6z8d7Wij7n6VGHPF7PvTsNUu8Hpogez73V6qTD5iIrJgCrw01hfcdJvQ+DwSv3e2ozZboJCI/E7XJhbm0esE13OEYx7gpHUrx9C4vuuZnG8tJBH1O6eydFWzcy8arr8QsOPWrb2MyRWFqaaa09JQGFs4bjMu5SyjVSyku6fm+SUs6RUqZ1vTYf1u4JKWWKlHKYlHLFUA/6cHpWBYakQnMx9SVFWNtaSTqiAHRUVBR33nknBoOBg06BdGiJtN6GWRRwy4pbiI+wMiEpmOdWF/U7uapLOAHp3x7j7u/13Du8E7LdXvvlOd5FL7nlrT2HSLcbt9l8fOcZBNbT6LkPRh3S1WXcPW43nhMVZVM4L2mqKMPtdLLh/bcH1d7tcvHNay8SGBHF2IVXHLN9d43firzBZTrZTsH38XRw7ssPdBOaDm4HpZu9kqwJ2aP7NAkODuby627G4lZjj0vhwaRsXpr3Ei32Fu788k7umRlBfYedtzb39dB1CQnHrw5p699z7463z0gPI8BH2yvu3vTyKxTPuxC32TL48xwDKeVxF+o4GQZTtMPpsKPqSis9nd77UEr+/uY3vyEuLg7TKc5A+l/D3NIEQOGWDdSVFB+z/c4vPqW5qoKZt9+NRqs9Zvvg6Fh8AwKp2n9s4151II8X7rqJgzu2HnvgZxnnkXH3phuW7tpBeGIKxsCgPk1sTjf3f5TPensi6k4LGzZtRFZIXpz3Is22ZpZV/p0pqcEsWlOE1dF7gZE2Pv740yF7Yu5dnrujAxwWypqsCAHxwb6MigvsZdw7d+3C3dJC2yfL+u/zBLBbLUiP55TrynTjH+rNih3Ic/e43bidzp60TJfz9Bn3oZT8vfTSS9my5ZRMJ/1PY25uwj8sHL3RyIb33zpq27b6OtYveZPkMeNJHnP0WsndCCGIzRhBxSCMe8GmdUjpYc0bL+N2nb5Fh0PBeWTc07G71VSX15A4qq/X3mZ1cudrW9ld2cqjt8zGr7aMEF8Dn3/+OQ17G/jZmJ+xpnIN2Zl7aTQ7eH1j7xDMCaVDHhlzBzDXU9ZkIcrfgEGrJicukIK6jp7Vqo5ir6fS8vbbQzbh09nevTr19HjuGp0OU1DwgMa9O96u9zUhVKrT6rkPleQvwKRJk3qUJBWGDnNzE0FRMYy75CoObt9CTVF+v+2klHz14r9RqVTM+f4Pj0u4LXb4SDoaG2hvGFitVUpJ8Y4tmIKCaamuZPeqc0uv/9wXDuvGN5hyVywejyTxiHh7WZOF7722lcrmTp69bhQLsqJpio1Da2sndtR4vvnmG6ZOncoFsRew5OAixqc/wn+/LeaWSQmY9N63qFsd0lleDodpjByVnrBMQC/jXtrkIiHECEBOXAAeCXur2pgQ64ejogJtXByOomKsW7ZinDjhpN+azo7u1amnx3MH8A+PpK2h/6ccl8OGe2M7bRYrbrsds2jGpqs56XPqoo0EXpoy6PYnI/mrcOowtzQTEpvAmIsuZfvyZWx4/22ufuSPfdrtXbOS8j25zL3rh/iHHt9amdjM7rj7HkZcMKffNs1VFbTV1TL3rh+Rv+E7Nr7/NsOnz0Lvazz+izoDnD+eO1DmiEGrlkSnZ/Rs21bazJUvbKDF4uDNuyZy5WivBndofBIN5aVcfvnljB49mvXr13N/+v0E6YNoNb1Ci83Ma+sPyRRowsKOPx2yOyyj9/OGZQDMdZQ1WUkI8QVgVGwg4M13d5SVgdtN6L33oA4IoOWtoz+SDhbraVKEPJyjLWRy2u2oVCpAIFQqpDz9ok4nK/mrcGrweNxYWlswBYeg8/Fl/KVXUZq7nar8/b3amZub+Pb1l4nNHEn2nAXHfZ7QuAQMRhOV+/cN2KZ4uzfkljx2PBfc+n06zR1sXrrkuM91pjhvPHcpJSUteuL9WlBrvJMqy3KrePD93cQG+fDKHeNJDD10xw1LSGLvN19hafVOpOXl5bF9/XaemvkUd311F0nDvuTF74zcNiURf4P2xIpl29tAYwCNrsdzt7XW0GSJ7fHcQ0x64oN92VXZir3Tqxqpz8wk4JqraX5tMc7aWrSRkSf13nQvFDpdMXfwGvcD677F7XL1KYzistvxmR1JYGQUltYWOpoaCU1M7plgPdUMheSvwqnB2taG9HgwBQUDMHr+JWz//GM2LHmTa3/7BOD9rn/98iLcTicX3vuTnpTn40GoVMRkjqBy/54B2xRv30J4Ugp+waH4BYcyfPosdixfxqh5F/ckDZzNnDeee0tNNe0WF4mGOqS1hX98XcD97+YyJiGQj344pZdhBwhP8FZtaigrwdfXl6lTp3LgwAGiXFHcm30vjWzAqtvCy2sPee+6hOPMdbd3eNMgAYyhIFS0N3ir9SR2ee6Ad1K1vBV7cREA+qQkgm68ETweWpecvKdwurTcDycgLAIpPXQ09tYN8rjduJxONF2hDY1WB5y+SdWhkvxVODWYm72ZMt3iXlqDgQmXX0P53l1U5HkNcf7GtRRv28SU628hKOoEqqN1EZs5ktbamp5zHo61vY2aggOkjD0UFp12w20IlZq17yw+4XOeTs4b4166yyt9k2hsYeOWTfznq0KuHhPL63dOJNDXa0Co3QNrngaPh9CuCdKGUq/xnjhxIr6+vqxevZp7su9hTPgYjDHLWLx1a0/e+3GnQ9ravSEZAJUafEOxtXgXTnR77gA5cYFUt9lozy9EGx2NytcXXWwsphkzaFnyPvIkJxw7O9rRaHU9BvV0MFCue/fkqbZrLGqdrtf2U81QSv7+6le/IjY2FqvVSmxsLH/4wx9OyzWcz5hbvMtlDlduzJ53EcagYNa/9ybW9jZWv/pfIlPSGHvxyennd8fdK/vJminZuQ0pPaSMndizzS8klHGXXEH+hu/Ymfstz2x9Brv77NVGOm/CMqW7dhAYFkarZyR7PnHxQ6svt8xIRafpun9JCZ/8BKp3gs4Xw5Sf4B8W3iMgptfrmTFjBl988QXlpeU8PeNprvj4atoClrIsdzrXj49He5g65KDqqdo7vGmQ3ZgicHd4jV38YZ57Tpw3XGIuKCIo9dBjf9AtN2O++x7aV64kYOHCE35vOtvb8fEPOK1l4Hqkf4+YVO3OlNHouoy7RoNQidNm3IdS8vcvf/kLf/nLX4Z0fP/r9HjuXWEZAK1Oz8QrrmX1q//lwyd+h91iYf5v7z/pMF54YjI6Hx8q9+/rU63p4HZvlkx4Uu8w3PjLrmb3qi9Z/fqLvJ69G71az0/H/PSkxnGqOC88d6fdTvme3bhJ4vPW3+BxSNQISncfVvmoaJXXsPtFw6rHoC6PsATvpGo3Y8eOxd/fn1WrVhHhG8H1w65BYyzk/zbsRUrZUyx70OmQ9sM8dwBTOBprA6EmfU8WDsCI6AB0QqKuqkCffOjDZJw6FW1CPC1vv3Mib0sPnR1tpzUkA2AKCUGlVvfjudtQaTQ9cXghBBqt7rTmuiucvVhamhBChW9gYK/tWbPnYwoJpb60mIlXXkvoIMtkHg2VWk30sOF9PHe3y0np7h0kjRnfxyHS+fgy9fpboKqNhFpfXtn7CgeaD5z0WE4F57xxrypoYcmfluF2ORDqBC6I+oDkoOdw+2sOGXcp4bu/QEAc3L3KGwdfeg9hcfG0VFfh7BKx0mq1zJw5k6qqKvLz85mfNB+Eh9LOzWwsbhp0sWzpcGArKKBtdyP168xUP/oo7tZWMEXgY2/sFW8HMGjVTDI6UDsd6FKSe7YLlYqgG26kc/t2bAdO/APk9dxPr3FXqdT4hYb1Me5Oux2trnd4SKPT4VY0ZhSAjuYmjIGBfaSpNTod8+76EZnTZjLxyuuG7HyxmSNpqizH2n5InbQiby+Ozs5e8fbDSZ42jRY/JxccjCVYE8jv1v8Ol+fsW+B0Thv3igPNfPzsTlprDyBUGm7907XExDWQLCoJHRZIbXEbNosTSr6Dis0w9X7wj4bL/gW1ewjryEVKD00VhyZJR40aRXBwMKtXryYjKINYUxw+gft4ZX1pjzqks6zvpKrHYqHmt7+j+JJLODBmLCWXXU71l500raul7YMP6Vi1GkzhBHhaSAj27XP8JI03bVKblNxre+BVVyIMBlreGpzORn9Yz4DnDt5J1cMlCKSUuByOnnh7NxqdDrfLpWjMKGBubhqwUlLymPFc/JNf9mTDDQVxXTozVYelRB7cvgWNVkf8yFH9HrOnaQ9bMptRtdm5rX4y+5v389q+1wDwuD1em3MWcE4b99j0IGbdmoHRv4644SMw+PlSLqJJELWMmRCOlFC2twm+ewZMkTC6a+l4xkLIuYWw0ncBetVUVavVzJ49m/r6evbu3cuCpPngU8iqwoOUN1v7TYeUTieV9z9A64cfoouLJ+T73yf6mWdIutTKsKcWogoIoDM3F6dvGFpcpAf0vctnOrwTSTWBvVOs1AEB+F+ykLbPPsPd3t7nuMHQ2d5+WtMguwkIj6DtsIpMnq7l20dO7KpPc8aMwtmLpaUZY9CpLYNnszhxu71rKyKSU9Ho9D2hGSklxdu3EJ81Cq2+//KX2+u2UxfmIPviS2jauIdLXZNYlLuIA5VFfPTXHbz72OZTOv7Bck4bd6ESxGXoaKos61mVutsWgU64GRZpxtdfR+mmA1C61uu1aw/7Zy34M4EhoWhVHhoOFvTqd/jw4URERPDNN98wN3YuEg86v30s3lCGLiGhVzqk9HioefRRLOvWEfXYH4lb9ALhP3uAgIUXYzC2ofILQp8zis7cnTTKQADSfPuKgkW11tCiN5Hb2neyL/imm5CdnbQtXXrc75HL6cTRaT0znnt4JNa21p7CxN3aHP2FZUCR/1U4uuc+FNitTt783UY2fuSV+VBrtESnZ/TozDRVlNHeUNcrS+ZIttVtIzM4k9k3f5/IlDSi1rWR0BrH8r/lUVfSjqXN0XPzOJOc08YdoHT3DgASR3n1Qta2BAIgmotIyAqhvKATt28kjL2j94EGf8RViwjVm2nY9W2vXSqVijlz5tDS0oK1zEq8XzwRUfks2VaBjIntlQ5Z/7e/0bbsE8Lu/ymB11xzqBOHGZDUOnx4IyqKirY2Ktu8k4gJ+r4SovrqCqr9I9he3kC7o7eHbhg+HJ+cHFrefe+49WZsPdIDp964uxxuHLZDTyX+3emQXd672+VEpVajOmJRk1qjRQihxN3/x3E67Ngs5l6ZMkPNnm+rsFtc5K2rxt7p/azGZo6koawEm8V8aFXqACJkdredPQ17GBsxFrVGy8L7H8LjlkzfHIbL6UQXttPbznzmQzPnvnHP3YEpKJjQuATqO2xsbu+66zcWkBjdisOtpyb5l6DrG+cmcRph8Uk0NHYgC1b22pWWlkZsbCzr1q3jwvgLaeMAFlcru6RfVzpkDU2vvUbzy68QdNNNhNx3X+++u6QH9jcL3MCerCzqD3jzo6PUvY23lBJ7USHNMS5WtP2Iyz++vI8RD7jqShwlJdj29a79uLRwKWsq1gz4/pxOXZlv3jzA8kWHVvwFhPXOdXe7XGj0+j4ZCEIINDolY+Z/HUtz3xz3ocTlcLN7dQVBkb447W72r/euOYkdPhKk5MDuzRRv30xEcuqAY9jTsAeHx8G4iHEAVOa7EdrZeJw1dIR/xNf+uwCwt5758pGDKZBtEEJsEULsEkLsE0L8sWv7H4QQVUKI3K6fiw875hEhRJEQIl8IMf9UDd7jdlO+J5eEUWMQQpBb3kobJpyGEGgqJK7q36iFk1LnlAH7CJt8FXaPho6Pf+3Nqjl0DUyfPp22tjaGOYbhkW6SEkpY1uB9yxoXLaL+qafxmz+fiN/8um8OeZciZGGDA5VKRWNYGI1l3g+Tr8ObyyulZHvddn77yY+RZguFYRW4XDoaOxtptbf26s5//nyEVkv7p71rPy7atYh/7vjngNdnPY2KkA3lHdSVtCG7ygYevpDJ5XTicbv6hGS60Wh1Z01Yxq1M7J4RunXcT5Vx37+hhs4OJzNvHkZUagB71lTi8UgiU9NRaTS89MET1BTlkzxmYLG+7XXbEQhGBoxi3QeFfPt2PsljpjB8xlwC97XhY/E6dfaWgauQnS4G47nbgdlSylFADrBACDGpa9/fpZQ5XT/LAYQQw/HWWh0BLABeEEKcEtGQ2uICbBZzT9WlnRWtaNUCdVg6FHyF9uDnxERaKclrHzCcEZacDkB9XSM09S4MkJaWRnh4OMU7i0n0S8Q/ZB873N689bYPP8J3/Hii//I0or/FFLZ2LPhQ3dLJyHEjMTgcNKhtvOIfyN+rV/Pb9b/lmk+v4Y4v7qB6n/dRcMa4h7DXX+S9NkvvxT/qgACMF8ygffnynpCQ2+OmwdpAUWsRdZb+Rbq6PfdTPaHq8UjaGjtxOTy0N3lj7L4BgWj0etobammqKANJn0yZbtTdGTOeU2tYS0tLycjI4Pbbbyc7O5trrrkGq9VKYmIijz32GNOmTeP999/nq6++YvLkyYwZM4Zrr70Ws9nMihUruO66Q2l4a9as4dJLLx3wXCaTiYceeoixY8cyd+5ctmzZwsyZM0lOTuaTTz4BvDeSBx98kPHjx5Odnd0jTGY2m5kzZw5jxowhKyuLZcuW9Yw/MzOTu+++mxEjRnDhhRfS2dl5Ct+x00d/C5iGCo/bw86V5UQm+xOVGkj2rDjaG22U7m5Eq9NjiA0nqdIHJH1SIJuqzBzYWMP6D4to/sjI7TsfZ8lDuez6uoLsWbFc/INs5n7/PoJNgqxCO9JjxdLcMuTXcLwcc4Wq9FrF7iCxtuvnaIHfy4F3pZR2oEQIUQRMADae5Fj7EBKbwCUPPExCdg7gLVeXGeWPKiwNKjaCIYCkcVl8+0E5LbVWgqP6SnWGdS1MarQbSS1aCaGpPftUKhVTp05l6dKlXJB0AW80voEh8mo69b4EJsQS+/xzqAZa0m/voAhv33+v/DsLW4Mxh4/mc58kWi1FBFe3EW2M5veTf8/0zWaaeZpx02bieWM5AHXWOjJDMnt1GXDJpZi/XoV182aMU6bQZGvCJb1xww3VG7gy7co+wxiMlru7vZ2Gf/6LsJ/9DLXpxORMLa12PC7vx6K52kxAmA9CCALCvOqQdSXFoDX0ZMqsWLGC2tpDNzCPx+1Nk9TpT0gICiAyMpKLLrromO3y8/N5+eWXmTp1KnfeeScvvPACAAaDgXXr1tHY2MhVV13F119/jdFo5Omnn+bZZ5/l17/+Nffeey8WiwWj0ch7773H9ddfP/B7YrEwc+ZMnn76aa688koeffRRVq5cSV5eHrfffjuXXXYZL7/8MgEBAWzduhW73c7UqVO58MILiYuLY+nSpfj7+9PY2MikSZO47LLLACgsLOSdd97hpZde4rrrruPDDz/klltuOaH37GyiP+mBoaJwWz0dTTamX5eGEILknFBMwXp2r64gOSeMjgg16lKBxeCiNdBNd87agY01rFrsVaRUawQuPRiibUzKHkVEUgCxw7xFgVTSxiURu3j9YDZO61c0tszlTEvMDepbJIRQCyFygXpgpZSyO9fnx0KI3UKIV4QQ3aWPYoDDq0xXdm07ss97hBDbhBDbGhoajtw9KPS+vgybPA2D0YTbI9lV2crouEBvyT2AifeRMMYr8dtrteph6Hx8CYyIosETCYVf9dk/cuRIAgICMFQY8EgP40ZU8cDUH+L42yLUR5uktLexUZWCXWUnKymL2RNmo7fZuL5mBDtI4utrvua/U//NNenXIEsqUBmNRCbHka3TM6ppFLXmvlroplkzUZlMtH36GUAvb3199fp+h9HZ0Q5CYDD59bsfwLxmDS1vvYVlQ/99DIa2hkPeY3PNoWygbunf+pJihBAD5igL4f0ono6K9HFxcT0iYLfccgvr1q0D6DHUmzZtIi8vj6lTp5KTk8PixYspKytDo9GwYMECPv30U1wuF59//nmPwFh/6HQ6FizwytFmZWVxwQUXoNVqycrKorS0FICvvvqK119/nZycHCZOnEhTUxOFhYVIKfn1r39NdnY2c+fOpaqqiro67/87KSmJnJwcwLuquruvsxW3y8ma11+iubryqO3MzU1odPoh10uXUrLjyzKCo40kZnmLZ6vUKrJmxlJV0EpjpZkik9cGVYXbWVbsfUpqb+zku/cKiEoN4KY/TGTSo0EsyX6aEdcFMXZBYo9hB6DgS8J0bUSNjsXjPEhtzZkvvj0obRkppRvIEUIEAkuFECOBRcDjeL34x4G/AXcC/QmY9PnGSilfBF4EGDdu3El/owvqOrA63IyOD4LY+VC2ASb9AD8fA6FxJkr3NDJmfkK/x4YnJlO1uwH3wQ2oHdZek69qtZopU6awYsUKRqSMwKzZTn3Itfx7ay3Pp0UPOJ6ithLKScASYOaZmc9Qu7+KjKW/YtfoHCpbD2Je/y1fLvoHdzz7H+wHD6JLSaGoqIhRjnKEI5XK6kro7bij0uvxu/BCOr78Es/vf0et1XsDyAzOZGP1RtweN+ojVvZ1drRjMJqOqsNhO+CtdGMvKoILLzzq+zwQbfXeurBqrYqmqkPG3T8sgsr9+1BrtQSOyOmZmzjSw5ZSUl9SjG9AIH4hR69ef7L0N6ELYDQae8Yyb9483nmnr+zD9ddfz/PPP09wcDDjx4/Hz2/gm6ZWq+3pW6VS9RT5UKlUuLrSQqWU/Pvf/2b+/N5TU6+99hoNDQ1s374drVZLYmIitq6U0sOLhajV6rM+LLNj+Sds/3wZWoMvU6+7ecB23jTI4CHXQCrb20RztYW5d2QiVIf6Hj41mq2flbBjVQk7tMVkpI8mINvA5wc/54HRD/R47HPvGI5/qA9L93oz88ZEjOl7kv2fgF80w2YspGbHf6mvOg5p8FPEcT3/SilbgTXAAillnZTSLb2VFl7CG3oBr6ced9hhscApv4111yHNiQuEsHS48R3w8d5ZE7NCvatVB0hPypp9IZZOF/uaA7058UcwevRofH19yTJnkdu4nTumhfL57hq+K+j/iaPN3savD6xC59Fz9fhLMGqNlOsCCKmoQ+9y8G1bLGW7d+J2ucjfuBZHcTHtKSksWbIEg18gHjxUFx6adLVZnLTWWbFZnARcegkeiwXzmjU9cfmr066m3dHO3qa+6nbW9mMXxrZ3SRs4ioqO2u5otDd2olILYtIC+3jujk4r9SXFfXTdD0cIgVp3eiZVy8vL2bjRGyV85513mDZtWq/9kyZNYv369RR1vR9Wq5WCAu9aiJkzZ7Jjxw5eeumlo4ZkBsv8+fNZtGgRTqf3s1lQUIDFYqGtrY3w8HC0Wi3ffPMNZcdTR+AswtzSzMYPvYsFmyqPfg3mlmZMp2AB044vyzAF60kd33uBoMGoZdikKIq2NCDcesbeczsLJ13vrae8dB3Vha1Mvy4N/1AfALbVbiMpIIlQn1CklDSauxQh7WYo+hoyLyV1xFRQ+WFpPI5ay6eIwWTLhHV57AghfIC5wAEhxOHFI68Eui3LJ8ANQgi9ECIJSANOeRXhneUtBPlqeyocHU5idmjXatX+QzMJo8YQmZzKluZ43Pl9QzM6nY6JEyfirHNispuIiysmOdTIb5ft7ZEDdrs8fPduAbu+LeeXXz+IqsMfkIzL9j7+lzVZKQiIJbOkmCJPDAcLvcYif/23tFqtfOFjwNfXlytmX4V0++JfbeLVh9bynx+v4eVfrOWt32/ik3/m4jthApqwMNo+/Yw6Sx16tZ75ifNRCRXrq/qGVWwdbcdMg7R1GS574Ykb97aGTvxDfQiJMdFSa8HTtYijO2PG43Yfc9n46RIQy8zMZPHixWRnZ9Pc3MwPfvCDXvvDwsJ47bXXuPHGG8nOzmbSpEkc6LoBqtVqLrnkElasWMEll1xy0mO56667GD58OGPGjGHkyJHce++9uFwubr75ZrZt28a4ceN46623yMjIOHZnZyFr334Nj8tJeGJKL5mP/jC3DPECJnsH1fmN1BS1MXpePGp1X3OXPSsW6YbhdVPIDstmasxUklwZ1H7jJjE7lIzJXjPn9rjZWb+zJwXyvY1FfO/pt9i6Zz/2vBXgssHwy/H3CcJtiMbd0dSjWXWmGExYJgpY3JXxogKWSCk/E0K8IYTIwRtyKQXuBZBS7hNCLAHyABfwo66wziklt6KVnLjAfh/pwuP98PXXUbK7iWGT+hY0FkIw6Zob+fgvj3Ng4wZGXCLhiH4mTJjA+vXrGWsdy+qKlTx+xdPc/H+beWFNMT+fl87+9dXsWeONKWaqL8MevpMgGjGaTACUNVvpDEtmwq7lHEhNokmlJyoikrqqSupmXoBUqbjllltY/0YFJms0nX4HcUU4yJmUiI+flvqyDgq31mHrdOO/cCHNb71F80IVkcZIAg2BjAwdyfrq9fww54e9xm1tb++R3+0PV2Mj7sZGVCYT9tJSpMuFOIqHPRDdxj04xojHJWlr6CQo0tjr3EcuXjoSjU6HzdyBx+PpKsN3bGxONy1WB5H+hkE/zqtUKv7zn//02nZk3Hr27Nls3bq13+Ofe+45nnvuuWOex2w+tFjtSK337n0qlYonn3ySJ598ss/x3U8XR7J376EntF/+8pfHHMeZoip/P3nfre4R+tqy7ANvoRZt35u8lBJLczPGocyUeeMqduZfjsGYRebU/kOowVFGzBF1ZNfPxF8TAB6Yd/B27CorOdeE93ym8lvyMTvNjI0Yi5SS3etXMVZdy+cflrMcSbjqDmL3NBHbkovbGILamk/lvj0kjR43dNdznBzzGySl3C2lHC2lzJZSjpRSPta1/VYpZVbX9suklDWHHfOElDJFSjlMSrniVF4AQIfNSWG92Rtv7wehEiRmhVCe14Tb1f+y4OQxEwgLC2BzhQ+ehoI++318fBg7dizBLcHkVeYxLAauyInmP2uK2VfZxJblBxFRNpaO/DvqBCt2j5v2jlF8/vwuKg40U9ZkpS05A63LRXJLAW6/QDIuuoLOuFSsvr5ce+GF6FUmqgpa0aR5cONmq72UiZcnkzM3npEXeOeka4ra8L/0EnA6CdlYQISv1zOeGj2VvY17abP3XjzR2dGO71Emfrvj7X4XXghO5/FVmupCSq8xDwjz6clIaq72hma6PXeNXn9M/e3uqkzu4/DeW61OGjrsOAb4vyqcGTweN9+89l9MwSFMuOJaQmLjkR4PLTVV/ba3Wcy4nA78hspz72ylqaSW0o7hZBu/QOvsPzVRSsmO8K8x2E0U76hn6+clqJp8+TblPVY1HHqK317nLQY0NmIseXl56Cy17HDG0BE1hhmqHZhMJvbu3ceyZcuwBzuRQs3Bnf07B6eLc36FKsDuyjak7Iq3D0BidihOm5vqwtY++zrNDuxWF5OuvIYWhy/5n7/Rbx+TJ09GpVKR2prKnV/eSb72UfQpv+dPb/6OzjYXy4L+j5EjUpi5YBgIGGU8SF1pO5/8IxdbuRl1RgZo1Ohr6hBuF99s24nHYCSorJDksWMp2OLNhggdpaPOt44AWw1f7PXeMyMS/FFrVFQXtWIYPhxdcjLpW2uINHo946kxU/FIDxtrDnl7Ukqv3O9RYu72fG+4wX+hdw3aiYRmbGYnTpsbn2A9miAdiEMZM3pfIwajifCE5GN61ieiMeNweR8Kba7BPRwmJib28nyHgokTJ/ZUaer+2bNn4Nqc/wvs/eZr6g4WMeOWO9EZfAiJjQegqbJ/58HSPMQLmCq3stNyBRqNmyzNe/D65WDtu7CovKOcPONW1EFuNi07yI4vysiYHIlfOnxc/HFP9ta22m3EmmIJVAfy2fLlNHl8OaiOxVWzi1me77j18rk89NBD3vkblcSjj+Lgjm2nJftrIM4L476z3HtXHnUU4x6bGYxaq6J0dyN2q5OSXQ2sW1LIu49v4ZVfruPDv2wndeZlhPi62LwuF+np6wn6+/szatQoki3JhKvDGRGaybjAeYyuWIg9zMrDV/yEZ2Y8Q3FRMb4qJ/Pit3Dbk1MwBeuJr3cRGxGET0YajS4DoW4zbreblOYGnHYzLbU15G+qJSo1gKioUCqNlRiFi5e/3IbbI1FrVUQk+VNT2IoQAr9LFpJa6iDB6p1jGBkyEn+df6+4u6PTisftOmrM3XYgH01kJL5jxoAQ2IsKj/v9706D/M/2Mu57Zyf+oT69MmZGX3Qpoy68eKDDe1B3ZZccj3G3d3nsNueZ89w3b95Mbm5ur5+srKwzNp4zjc1iZt07i4nJGE7GlBkABEfHIoRqQOPevYBpqMIyrpLNFNsnM2xiFIabXoLGQnjjCuhs7dUutz4XhCR9eigdTTZMQQamX5fOFalXUNhSSF5zHh7pYUf9DsZFjuPrr7+m02JlgzORO6clM9O9EZc+CBKnoVKpCAnpujnp42lvqKO5quLIofWitsi7EPNUcJ4Y91ZSw00E+Aw8YafVqYnNCGLv2ipe/sVali/aw961Vfj4aUkaFUprnZWW2k4mjk+iyQyFG77pt5/xY8ciPIK5rTP46wV/5SemezC6DaxCz5jQaaiFmqKiIlL0zagM/mi0auInRBDnUhMj1GhGjaZVayDb384Pf/hDcvK9nvKOL1bTWmclY1IUEcYIanxrQCVQt1Xy+R6v9x6VGkBDhRmHzYVrzmQAUrd5Z+XVKjWToyezoWpDj7cwmMLY9gMHMAwbhsrHB21srDcd8jjpNu47m83kVbcTEm3slTEz5dqbGT59FnD0PHYhBGqtdtCTqlLKnnBM98S2wulZK3A0Nr7/Njazmdnfu6/naU2j0xEYGTngpGpHl/TAUIVlqvNqcEkDiTmRkDoHrn8T6vLgzau8tY272NWwCz+tH1NnjSB9YgQX3jUCnY+GBUkL0Kl0fFz4McWtxbTaW8lQZbBt2zZcISm4DIF8b2I0c1U7OBAwHdRe22PqmmNTa73raw7uGDg043I4WPbskyz/1zNDcs1Hcs4bdyllz2TqsRg1O47Y9CDGXZzIFT8fzd3PzuDyB0Yz44ZhAJTuaWTYvKsJ0lnZ9P4bfb4kjeWlfPHXx9E21XKg+CA7tuey86tygpL92O9y8MxXB6ipqcFqtZKqquopsadKMeFEoik20xETBUIQ7rYQ6u+PpqKSMP9ACjatRa1RkTI2nEjfSFwqF6ZoE6naVv6xMh+X20N0aiDSI6kraachWEV+DISt3d8zvqnRU6nvrKew1et99+jKDBBz9zgc2EtK0HdlYuhTU08oHbK6sgOJxKYTmO0u9CF62uqsfeY3DAYDTU1NSCmRUmJuseG099a21xxHOqTbI3F3/Y/OpOd+NiGlpKmpCYOhfy3yU01jRRk7v/yM7LnzCU/sXXgmJDaexgHDMt6QiTFwCDx3t5PSSiMatfvQQqP0C+G6xVCzC966xpu+COQ25JIdlo3eR8e8740gMtn7lOuv82dO/ByWlyxnQ/UGhBQ0bmskICCATbZIxicGEVS3AT/RyUe2sT2n7jbuQmPAGBl+1Lj77lVfYm5qZOwlfVeWDwXnfIHsiuZOmiwORscHHrNtXGYwcZl9PzymID1h8X6U7m5k7NzpTIyo44sKX4q3byF1nFfXOe+71ax86Xl0Pj5MmjydDfsL+OyzTwiwjWbhNTO4Y5+RVzeUMMzjzZhJlQfBkARApdXOPp0b/f5WarPdICUBdXU4SktBSpLTR7J52zrSJnvQ+2gI9YSiFmpkhAddpQNLUy3Lcqu5dHgkQkB1YSttPnWsG6Fi2FdV2PILMAxLZ0q0VyBtQ9UG0oPSD+nK+PUflnEUFYHLhSHDe3PTp6ZgXrcO6XQitFqvobA4CDX1llhwuB1YnVYCDd73fMOuWtQqePiSTH63bB92XzUej6S1zkpIjKnnuNjYWCorK2loaMDj9mBpdaBSC3wD9D3JSTaLGYfVSm17Bxr10T+eDpeH+g47OrXA6Za4mwefMXM+YzAYiI2NPe3nrSnMZ9Ur/0Hv48uU6/rKIYTEJlC8fUu/GTPmliYMfv498y4ng6zZRVlnDjGxbjS6wybxMxbCNa/A+9+Dlb+j48I/UtRSxLyEef32c0XqFawoXcHLe15mjHUMLU0tXHzFNfzz3TKunRAMea9hV5t4qyGRn1gcBBl1Pcbdo3Kgi4mgavs+bBYzBqOpV99Oh50tHy8hNnPkgBWfTpZz3rjvrPDG2wfjuR+NxKwQti4vxWoVZOaMZGN9K5s+fIfE7NF8s/hFdn/9BbGZI1l4/6/w8fPnwE/voVHnizX8AIHR8/h5TDrfFtSzedc2kkLCMbY3eGu14s1x3+PrIadVcjCvkACHA1dZM/Zir1CZKXEKbFuHVuetCKVWqQn1CaXVrxUfjQ9j9Gb+tbqQy3KiCY3zo6aolfaUWjZkCr6/Sk3T//0fUX96nAhjBKmBqayrXscdI+84pCszgOfenSmjH3bIc8fpxFFWhj41lTc3l/O7ZXv50xUjuXniodW9L+5+kaWFS/n62q/5rrARS5ON6BBfZg0LB/bRrOnWmLH0Mu5arZakJO8Nb9eqCra+733CmH1bJplTorA6rTz40h0kf2sl8O55fH/u/Uf9n32wvZJffrKLn89L59mVBSz/6XQyo09/UZL/ZVxOJwWb1rHzi0+pLSpA5+PDvLt/3K9QXUhcV8ZMdSVhCUm99nkXMA1NvL117y7a3UmMHh3ed+fwy2H0zZD7Fnsy5yGR5ITl9NvPxKiJRPhGYGmzkNCYwPDhw2lUhwBlTEjwg02fY06ch32flrVFjVw2Khqj0YgAPGoHzmBfpMdD2e6dDJs8vVffu75ajqW1hYX3/+qUOSTnfFhmZ3krPlo1wyIGXgY+GBKzQ6GrLJ9q2DwmBJVQd7CI137xA3Z//QXjL7+Ga3/7BKagYNQaDVEJkzFUFuKQVpYuXYqvVsXi23IIEWY2Nai8ixp6jLsFU7gPsRkBtNYeJEwHnZVWHMUHQaWiuiEAjT6WuoM7esYTaYykzl5Heno6sTTjU7qD1197l+jUQGpL2qnrqMfp50PQrbfQ/umnHLz0MjrWrGFq9FR21O2gvKUVc1u3ce/fc7fnH0AYDOgSvJkMulSvaFp33P29rd5H6N8s3ct/vj2kmJnXlEd9Zz1lbVX8btleQlCTkRZEdKAPOrWKCqcToRK94u5HUp7XREC4D+EJfmz59CCddjsPfvcgu4T3PI1fbe558hiIsiYLKgFzMr1f4oK6jqO2VxiYPZVt/OWLA8eM13vcbiytLdSXHmT9kjd56UffY8Vzf8NutTL7zvu4etRUwgpK8PQjiRDalTHTX2hmKCswlXYtVgweFYHVae3bYPKPwWVj1543EQiyQvuf/Far1FwVOpeF+TlohOCiWVOo3bOaO3SrGbX9N9DZQuC4awjw0fasVlepVBi0WjwqB+06MBhNfeLuTpuNLcs+IH7kKOKGn7qJ93Pec8+taCUrNgBNP6vPjoeweD+MATpK9zSSed08RgT+ks2WUdjMZi5/8Lc94Rnw1mBsrE5A53AQ5qsjPz+f9evXExgYiABCQoOhBXbUuRiD13NPDPElPtJD0UYn+pA0XLsrsaxfj0xIpWxfMzEZ4ynbtZSmygpCYuOI8I2goKWAkSNHkpeXxyxrPvVf28m8dypup4eWyk4ijZFEPvwwfhdcQO2fnqDyvh9w4aRRrMhxcOGiV7gXbwbKQLUgbfkF6NPTeySL9cnJ3oyZwiKKxpjZW9XOwxdlsK+6nadWHKC908mD84dR0eHNAPjXd2upbvTH4PYhKNwXtUqQEOLLwRYrs8J9aKrqPwvA5XBTXdDK8GnRJI0KZdk/cvnH66/xne47fjv7t2y0f0j05nbeePh+LvvZI0SmpvfbT0mjhdggX9Ij/NCqBfmKcT9hPtxRyWsbSrlidAzphzlKB3duZdsnH2Ftb8Pa1kqnueNQ3QMhSB49jtELLiUhKwfb7t2U3v8gAE2vvEzo3fcQeP11PcqpQdGxCJWK5v6Me0tzH2/+hJCSsip/go0t3LvpTgL1gSy+aDEqcZh9CBsGafPJrd9JWkQGJp2p366cTid+31moN0YwdvNWbLn/x/dGdCBUQL4fpMxGnTqXaWl5fFfQgJQSIQRGHwPtHQ4sFhvDc8ZSkrsd6fH0qJ3u/PIzOtvb+g1dDSXntOdud7nJq24fVLz9WAghSMgOpSKvGbcpDnVYGjdOcPC9v/+nl2EHb0jBadcwbOocWnduIiM9jdWrV7Nu3Tp8fHx49rocAN7KbeWl7w5S1mQlIcSIx+ldwNGs98bGO3ftoilhOh63ZPylc0EICjZ5FQojjBHUWmrpLDsIHjcyLAqdx8Ezq72CnK4qXc8CJuPkySQv/YjwBx9Es6uAZ19yc/3eL+lobsLHP6Dfxz4pZVemzCHDqfLxQRsXh724mGW5VagEXDU6hn9cn8ONE+J5YU0xv/l4F5Ud3nmF5QW5XJXmHUNAmDclMynUSEmjheAjMmYOp7qoFZfTQ9zwYGIzgvHEdKDdFcV9GT/iumHXETRxBN9Ob0cgePf3vyL3y8/79ShLmywkhhrRqlWkhJkoqFWM+4lS0ez1cNfk1/dsczmdfPWff9FaV0twTCzpk6Yx6aobmH3nfVzywMN8/58vceVDvydx1BiESkXTq6+h8vcn7qWX0CcmUffkkxTPX0DLu+8iHQ40Wi2BkdE0HpEx43G7sba29vHcpZQ0djayuWYzb+1/iz9s+APPbH3mqE8X9toSajpTUMe1UdpeSm5DLp8f/LxPO/fkH7JbK8hR9VOhDWhra+PVl1+mWKoZXbqL0SYzjfv8WPPVSN6K/S88UgG3LgWtgQvSw6jvsHOg6/NnMhnxqJyYrU6SR4+js72N2mJvCNJutbL1kw9JzBlLzLDMfs89VJzTxn1fdTsOt4fRcf2vTD1ekrJCcdrdVBW2QNqFmOo2YPTtPcFjMzvZtbqClNFhTL32GpCScFcnYWFh1NXVkZKSgi/eR9L0hBieWL6fTqebxBBfqgry8PELpcUWTXugN4ZdZUgnONpI/Mh4YjNGkL/RK1wW6RtJXKmGNa/9h0CtGoLCkAg8rZWYdaCr9yeyNZKXXnqJjz76CCdgv/pGfrHwN2xNDeCGHeUEVBQOmAbpqq/H3draE2/vRp+air2wkGW51UxJCSXc34BaJXjyypHcOyOZd3bs7tGQ1xrquSHTK+cQEOYVV0oKM1LWZCEw0khbQycuhxs2/QfyDy1ULs9rRq1REZMexFv73+Kj4P/g4zIxrs47sZUSmEKZsYWL//A7ErJHs+qVRSz/919x2A496kspKWv0PhEBpEf4KZ77SVDWY9wPieEdWP8tltYWLrz3J1z2818z964fMvW6mxk9/xKGTZ5GYMQhaQlHRQUdK1cSdP11mKZPI/71xcS/9iraqChq//BHii+6GHthIaGx8X1y3S1tLUjp6RENq2iv4O6v7uaC9y5g1pJZ3PXVXTy15SmWlyzn9bzXey3UO5KKTbvxoGFrcB4hhhBGhozk2e3PYnH2djSKA6Mwq1SMqsqDI9a0lJaW8t///pfGulqmfbeWedNTiH33W1oefhwfq53R//wzTa+82lM0Z0ZaGEJ6WL+jGHtxMSaDDx61g04bJOaMRQhVT9bMzhWfYDN3MPXagdUxh4pz2rinhZt4+fZxTEoemomY2IwgNFoVpbubIHUuuB1Q0lslcufKcpx2N+MvTSIgPIL0iVPZt/orrrzsMgIDA8nOzu7Jo71rbjbXj/MKZKaEmag6kEd81kh0Okl10gVYfcJospkYNjESIQTpk6fRVFlOY0UZugPNTNkTTNjwDOZdeQ02ux11SDgLo+w0+hagUTei2a+hs7OT3bt38/Irr3LX/62lUm2i7ZG72TxM4NPZis8AOu7dSpDdmTLd6FNTsZeWUt3YzsWxwax5Ox+324MQgocvyuD6yV4jLt16IsNakWavoe827smhRpxuCQFakNBSY4ZVj8H6f/WcoyKvmajUAFbVrOTpLU+TnZlOypgwcldVYm13kBTgfTyvctVzxYO/ZdoNt5G/YS1v/+YXtDd6Pcsmi4MOu4vEEK/cwbBIPypbOjEfkVqpcGw8HklFsxWNSrC1tBmz3eUtAfnZUkLjE0nIHn3MPpoXvw5qNUFdRUOEEBgnTSLh7beIe+lF3C0tNC1eTEhsHK21NbgcDmwWJ6tf309jhXdltinY+z3+d+6/2dWwi9nxs3lo/EO8dOFLfHPdN6y7YR3hvuG8sueVAcdRtq8NrcrMV56vuSb9Gn498dc0djby393/7dVuV+NuAHIay3rqOEgp2bx5M6+//jo+Bj0XrV1OsqMWn9ueAGBd5Eh+PPdBfKdNo/6ZZzh46WUcvPwK2i+Zx6efPMzUX9zEwYWX4Fn9DR6VA49di8bXh6i0YRzcsRWbxcy2z5eSPHbCgKHGoeScNu5+Bi1zMiMI9D359CkAjU5NbGYwpbsbkfGTQWuEDf+Gso3g8WBtd7B7TSVp4yIIifbG6cZdciWOTivVu7bxwAMPkJ6e3lMcW+0TwFNXZ/HZT6aRYbRjbWslfsRIMsf4UOM/lrJ4r3Z6+gSvB5Q+cSoIwaqXF1H1/ipqQmzE33YR6cOGodfrMYfHUm23Y/SpQ28PoSokkB/96Mdcfe11VNfVM7JjK88sjOfqzDmsHSFwq0Br7z9n/FCmzBHGPS0V4XYzzNqK7Zs69n1XRd1B781KCEF2kleaNkY/mlZnJa0NVgwmLTof7/RNUqj3fWnTdmXMFJSA0wK1u8HjoaPZ5tWdibPw67W/ZnT4aJ6e8TSTLk/B7fSwbXkpKQHeGjbFbcUIlYqJV17HNY8+jrm5ifcf+w0dzY2UNXk9scTQQ547QOH/oPduaW3BcxJ1X+s77NhdHuaPiMTplmwoaqRs1w4aK8oYd8mVx8zmcLe20vrRRwRcfDHaiN6yukIITNOnY5o1C/PXqwiOjkVKD83Vlez9ror9G2oo2OydwDcFhVBnqWNl6UquTruaP0z5A7cMv4VJUZMI9QlFp9Zx2/Db2Fy7mT0NfeUdpEdSVhuELeggQkBQQRBr31/LlbYr2bBhAxv2bMBq9T6h5NbnEqoNwVefQvHq19mxYwcffPABK1asIDU1lZvJx1DZQfBttyO03jmDraXNxKbEkvDCc0Q99Wc0oaFoY2PxmzmLojlX8lL2FfguuAhdcwsIid7tS31nPcljxlNfUszat17DbrEw5TR47XCOG/dTQWJWiNcA1btgxi+gahu8ugD+MZKdL76F2+Fm/MWJPe0jU9OJzRzJ9uXLDn3Buopjo/dHCMHImACq872LjWIyhpM9Kw6EipqoKcQOC8QU5P3wGAODiM0cQeX+vUQMS2fVuAbqHU1otVrGjRuHQa9HX1/JjItm4N+WQXNlEI9/vp9/brPyuT2DQKOebV99iKXSQnvWBOwaNfXFu2iw9tWdt+cfQBsTg/qIYhPqpGQ8QsUCgnFYXQgBFfsPaXJUdFTgo/HhnvELsLltNNS29njt4I25A1S5Xag0guaSLqEohxmainr6WtT8DAn+Cfxr9r8waAwERvgyfGoU+9ZWobf4YdKaONh6sKff+JGjuPrXj2Ftb+X9x35DUal31W6P595l3PP/x+Lu5pZm/u8nd/H+n37jnew8Acq7QjJXjYnBqFPzTX4D2z7/GGNQMBlTZxzz+Jb3liCtVoLv/N6AbfzmX4i7tRVjm3eMjRVl5K3zlnmoLvB+RkzBIbyX/x5u6eamzJv67eea9Gvw1/nz8t6X++yrL6ql02ViS/A+5pnmUbi/ELVajV+HHyObRvLVh1/xl7/8hb/97W+wBi4omMlzlot5oy6dTz75hP3793PBBRdww5wcLB9/gdqoxf92bzquzelmV0UbE5K8xUQCr7iChNcXE/f8c0Q9/hhhDzzAR8nTqErPwacrfGhw66mz1PUoQ+5e9QVpE6YQkXR6CvApxv0IErO9VYBKdjfC9F/Ag0Vw1f9hCZ7EnqIo0vXfEPTeZChe3XPM2EuupKOxoWcytGd5s/5QvLvqQB4Gkx/B0bH4x0WTqPfG4Lr1oruZfMW1jJw+nase+gNSI6izeh9Z582bx7ULL0LXVEtTSyEduhbG+0Tz2oZSvt5fx88uHc9Pf3gfkZGRvP/++1ykuRKXWk1onZnrP7iCL0q+6HUe24H8npWph7PV409R0mWoXEZm3jyM8ER/Kg8cMu5l7WXE+8WTGuRNm+xWg+wm1KTDT6+htNlKUIQvTdWHxTprdnFgVyVWfTvuQCuL5i4iQH8oTXP8wiRUKsHWz0pIDkzmYNsh4w4QlTaMKx/+A+bmJirefhaTp5PYIK/nHhvkg49W/T8Xdy/cvB6Xw051/n7eefSXtNQef12c7qeglDATU1NDyc3dR9nunYxecOkxNfg9Dgctb76JccoUDEc8BR6Oafp0hI8Pqq3bESoVJTsL6GiyERbvR1tDI0KlQm008EHBB8yMm0mcX1y//Ri1Rm7MuJFV5at63fwByjbmAR7y/fcQWRVJUFAQ3//+93nwlw+ScFkCayPXkjohlZiEGCp9KgkYEcCVl8znDs1nPJBezW9+8xtmzZyJ682fYq7WEXTjTT2ZPrsqWnG4PUxI7D8EPC4xCB+tml0WNYbuilkeHbWWWsISkjCFhIIQTLm2/5vWqUAx7kdgDNATnuB3qOaq3g+yr2WHz8N4VDrGXTHCKz60+/2eY1LGjCcoKoZtny31zuR3e+6Gw4x7fh7RwzK96VAqNRPCviQlsorkwxdaWJuJ3/Ir5rf9A19rLaE+ob3qpEalpoMQNBYXU+tfTLjVwD3Tk/jtJcO5dXIiJpOJ22+/naysLMr37cAZHIGv3c3scn8e/O5BHvz2QVptrXhsNhylpf1+GVetqaYyfh6JqoNkTIoiNiOIutIO7J3eWHZFRwXx/vGkBKSg8qhxtkn8DzPuQgiSwrozZkw0t2ghMhs0BhrKt1Ce10hNUCH/nfffHkXLnvc+UE/27DgKttaR7smiuLWYI4nNGMGVD/0O2dHMVfWf4bJ6jblKJUiPMJ2Vue5ul6tHGGuoyd+4jpDYeK797RN0mjt4+ze/oHL/8aleVjRbUQmIDvRhVkY4MVVbUOv0jJp77GLj7Z99jquhgeA77wSg4atHsOcv79NO5eODacYMrKtXExQZTeWBInz8tMy6NQPpMaP3DWBF6Re02Fu4JfPoKYI3Zd6EQW3g1X2v9tpeesBCm7GEkaoMOpo7mDNnDpquGgK35NyCKdLEO7Z3CB4XzI7QHcyYMYNR4yaTOH4+gYUfoO6ohty3af42H9RqAm+7s6fvraVeB2dcYv/JG3qNmskpIaxtlhg6vcZd69FSa61FCMHkq29gyrU3ERqfeMz3dKhQjHs/JGaHUlfajrXdG682t9jYt7aajMlRBM68ASKGQ+uhGX+hUjF24RXUHSzyeu/2dlDrQOO961vb22ipriRm2PCeY0JDXCxI/xytvmt5dEcdvHaJNzat0sLSe4n0jeipkwpe+dyQmDjMZdU0BlbQ2e7kR6pv+H5Qbk8brVbLpKxZaO2+OILDQe/LbVWJ/GT0T/i6/Guu/ORKDu5YAx4P+iMmU6vL2wnZb0bvqCe91FskOC4zGOmRVBe04PK4qOyoJN7hwPTdX0lRZQCCwMOMO3hDMwcbLARH+dJhD8ARMQFrxHB+XVKM1mXg4hkXkBzYW3ekm1Fz4kBCVHMaTbamPvr0AHEjstmdeRV+9hY+eOK3PeGIYZF+5NeeGoW9k2HXyuW8fP89WNtah7Rfc3MTVfl5DJs8ndjMkdz0p7/i4+fPB396lLy1/Qvf9UdZs5XYAB+cZicTwlWkm4tQZUzEYOo//7sbKSXNr76KPj0d49QpdNTkckXlMv74zS/B1vf/5nfhPNwNjZgMflhaasicGk1orAmNphOJkTf3v0l6UDrjI8cf9bzBhmCuSruKzw5+1lNq0tJmp6HFREHQflKaUomOjmb48EPfN61Ky0MTHqK8o5yntjyFRmgYETLCu3Pifd7XNX/G/dmjtJX44X/xQrThhxyvLaUtDIvwO+r83oy0UPbZtD2eu0aqepyz7DkLmHz1jUe9rqFmMGX2DEKILUKIXUKIfUKIP3ZtDxZCrBRCFHa9Bh12zCNCiCIhRL4QYv7AvZ+dJGZ1r1b1eu/bV5QhpWTcRYneBoHxvYw7wPALZhOemMJn/3ia9ZtL8eh6e+0AMRkjDh1gCgdzl1feUgavzIeWUrj5fbj0H1C1nQhrWy/PHSA6PQNq2nCHe58Oqr/5Gj77GTi8j9ZNVWaWL9qLj8WE1OopyZiEZe067oy7lncWvoPZYWbzWm9NS8NhYRmHzcWnL+zGCYyMrsRVVoLH4SAyKQCNTkXF/hZqzDW4pIuEPR/Dur+TinfG3z+sd65wUqiR6rZO/E3eMTXocviZUeJuTQEB0yYOnH3h66/DFKTH2O59/D0yNANeo7LTFU7njNtoriznwyd+h91qIT3Cj0aznabu2pbHQavVQX2H7biPGww1hfm4HHYKNm8Y0n4LNm8AKUmf5K0BGxQZzU1/+hvRw4az4rm/sX7JW4NSiCxvtjLRqeXN326kdPUXqJBsNx175aRl3XrshYUEf+97CCF4b/MztKvVfGZQUbzqtz3t7C43D3+4m4/0iaDT4WgSSE8bwyaGepVANZ04HQZKGyq4OfPmQS3Hv33E7UgpeT3vde817PHOKwlDKy6ri3nz5vWp5jUlegqz42bT0NlAZkgmBk3X4r7AOBhxJeS+Rdt+Jx6nJPi223qOc7k97ChrYXzS0VOuLxgWTrvOF7XHg5Cghp6bz5lgMJ67HZgtpRwF5AALhBCTgIeBVVLKNGBV198IIYYDNwAjgAXAC10l+s4ZQuNMmIL0lO5uor2pk7z11WROje4plEtgPLRXgvtQwW2tTs8Nj/+FETPnsmlPMx8WJ/WoMlYdyEOt1RKRnHroJKYIMNdDQwG8ehF0NsNtyyB5Joy8CrKuJaI2jzpLTa8vaFR6Biq7h2DZjkG0U62dDp0tkPs27U2dfPqvXLQ6FdPnpSJcTpoCQpAuNx1ffklGcAZTY6bSnrcH4euLtktcyuVy8cF/v8bR2snGcMiYMAzcbhwlpai1KqLTAqk80Ex5qXeeIU5jxIMg2uKNlxtDesdlk0KNSAnS6p1EfqO6jg3OJiY1phEZq8NgPHocNzTWhLvB26a/0EyTxYHZ7iI2awyX/vwRGspK+PDJ35Ea5H0EL6g7Pu99Q3EjU59azYQnVjH32W/53bK9rNhTQ4tlaOq5NpaXApC/4bsh6a+bgk1rCY1PJMRPgMc7mW8wmbj613/0fg4/fIeyXTuO0QuUN1mJcAicDht7Vn+JJyGLDfXymGmlza++iiYsjICFF2NzdvJmy25y0OMjNLxQttz72Qbe3FTOu1sr+OPXpWwOHUarLQKQuOzeUJXL0Y4QJjI7xnNx0sC6/1X5Ld7UyUoz0aZoLk66mA8KPqDV1krB1gLM+kYSOmNITU3t0TA6kl+O/yV6tb6nFmoPU36C9AiayyPxGT0an6yRPbv213RgtruYkHR0eYTEEF9iQ4xYfQPQuUGq3NS3901mOF0MpsyelFJ2f1u0XT8SuBxY3LV9MXBF1++XA+9KKe1SyhKgCJgwlIM+1QghSMgKpXx/M1s+KQEBYxccEs4iMAGkB9p7lwzT6vQs+MEDXJijo7pDzxsP/ZSq/P1UH8gjMiW9txKeKRzMtd5MHLcT7lgOcYc9jl78DJEqHzrddtqth1YNRqd5ve2I4gqi/KupUU2CmLHY1r7Kp//KxenwcOlPc9DqnGhbG3HpzFSMuYy2Tz8DYF7CPMKrrbiTYnqWQ3/4+hcUtGyiMiyX8aMDMKSnAeAo9qaoxWYE01JrpeTrF9C79ez1/xmP8QBt9R00hm/gxVdfYNGiRbzyyits3ryZ5K50SHXLVtTCTmlNB9eGzcdpTyYusrXnWgYqjxca54e5wYFRmPr13EsbvU8ESaFGUsZO5JIHfkVtcSEV7/wLjcdJfm0b7+x7nUVbjq2TvTKvjjte3UpMkA8PLcggJtCHD7ZX8oO3djDmTyu5+J9r2V9zdI2bo+F2OWmurkTn40vlgX10NPVfpP146WhupOpAHuljRsO/xsCmF3r2qTVaZt1+DwB1JX1vjodjtrtosjjwsbhx2/fidnYyYuZCnG7J+qKBx2o7cADLhg0E3XorQqfjk+3/pkkFP02+ipszbuArow/5Kx6go9PB898UMS01lM9+Mo3OMRfj0XsnSx97YxVf7SrHabPi1GiYZJt7yJs+Ao/bw5q389m/oYb3/rSFL1/ay7Xht9Dp6uTtvHeoLHbSFLgf3Grmzp074Ljj/OJYevlS7ht1X+8d0TmYc/6Js9FC8G239tq1pSvePtBkajdCCKanhVGnMaJ3efCoHLQMcSjueBhUzF0IoRZC5AL1wEop5WYgortuatdrd4AqBji8/Ehl17Yj+7xHCLFNCLGtoeHM3d0GIjErBJfdTf7mWkZMj8Ev+LAPXaBXAOnI0Ew3WRFWbpws0Gh1LPnjw9QeLCQmY3jvRqYI8LhA6wt3fgGRI3vv9wkiYuz3Aahb/ceezX4mFXaNG792X6KmTaetwUbbiPv5rPRWOhqtLPxhFiExJqztbWhbG0HAvph02nfl4ayqYkbMDBLqoTzC+6/fv6WSA6W5aIQfKpUN9n9NuZSgUvUIiMXFe58cqsyjmVc1l4rKBib51xHo9EW6fPAJ8SEgIIDOzk5WrFiB0eONgWsb9qAzNBJoCWe0aiGgIt53HwAWu4vZf13DZc+to6Sx9+rBkBgT0gPDVaP7ZEQAlDZ5U/cSulanpk2YwsKfPkhDcQFXNn7K64UP8eS2Z3hh/+sUNfeth9vNxzuruO/N7WRG+vHePZP5wcwUFt85gV2/v5APfzCZX8xLp6zJwqvrSwbs43CctbVUP/JrXM2Hsouaq6vwuN2MS/cBKXtWIJ8shZu8FbfSw53gtsPeD3vt1/v64hcaRmNF2VH7KW+yYvCAtDhRiV2oNDH4W8Ix6TW9VqseSfNrixG+vgRdfx0uj4tXCz8g2+4gO/surk65lQB8eKEjn1XLFtNscfCrBcMYGRNATMxIdE6QQuBsqOI3b6wBoNG/GU11oHdFcz8UbKmjtc7KrFszGLsggdK9TWz8Ry03Vv2CzWvycXvc+Ag3o0aNIjLSO1HfaLZT09ZXwCzOLw5fbV/ZgeZP1qCJjMTviJvD1pJm4oJ9iAw4tkZ+VkwAjXo/dHYnHpUTq9WJwz00T4DHy6CMu5TSLaXMAWKBCUKIkUdp3l/ArE/gT0r5opRynJRyXFhY2KAGezqJzQhCo1Oh1qp6e+1wTOOOrZ3wMH9u/vPfSR4zHunx9NVsTpkNw6/wGvaQ/vNeI5PnAFCX9yEc/BacNpo+uI3GQAdqZxTRWd5xffxpKPXONC5MWkp0mjcu2NnRjkqlptHlh1lfz8HEi2n77HMMhXsw2mGLqZ76snY+/3AlUuXiQEAm+/zGExQYwNvvvceByZOwFRaBrZ2AVbdj88+j0xOJ1MI999zDgrFJhLRG0oEKVbaKm266iTvvvBODwcD6b78hzKQjpC0Ps38LwZ1R6GpC0authNu86aKbS5rosLs42Gjh0n+vY8WeapxOJxaLBUOwRCJJcmZS3NbX8yxttKBWCeKCD31B0ydNI+TqaURYahm9pZUHG1rRSsn7u17sdey+tVXkra/mjY2l/GxJLuMTg3jr7km8vfN5VhZ4JRK0ahVjE4L58ew0JqeEsqWkb+3N/rBs3ETb0qVUP/JIT5nGxiLvzSy1/SsiYiKHLDSTv2k9YfGJhLRs8W6o3gltlb3ahMYl0HQs495sJdytwu0sxN7ZRtzIOeStq2ZGQhDf5tf3G7OXUtK6diM+cxegDgjgq4MrqPR0coUYz7MvvMxLz73E3JKLCWy4hT0HSrnNuJtvl77B3/72LDtbvqA2IQ9zxliigmGhsRhnQAi+yb64HZLyvL7vtdvtYevnJYTGmcicEsWkK1K47U+TGTU3nqCaeCYUXIbZrwSVgFmzZmFzunl2ZQFTnlrN5D+vZuYz3/DIR7v5ZFf1gPMqnXv3Yd20iaCbbkIc9oQtpWRraTMTEgenWJkeYaJF74fe0olH5UDv8qX+sCfv08lxqUJKKVuFEGvwxtLrhBBRUsoaIUQUXq8evJ764UmqscDxJ9+eYTRaNRMuSUarV2EM6F2sgoBYECrvRGh/2DvA4I/BaOKyX/yGlppqgqOPeHgJz/BWhjkK3amCtQFR8PEPIW48dQ17aAgcRkyxhYBQFRq9GnOLnQsmN5Bc8gZU3A5x4+nsaEfja2KfJ4xQ3UFKk0aRtGwJ+m2PAiHsN8FH/1iNxb+S+PhkXiuQ/GpBKt+fMptPP/2EXUBTcxPzF9/LZ/Uj6PBtRGsLo31aMREREXgsk+lwW5HGcopavUbFx8eHCy64gC+//JJJAQJTWytlxjqS60ZSsbeFuIgWVLW7QEq+21/LXF0hwwI8tJk72fjBJjaLQ4YkyDSCUGsstapaLE4LRq2xZ19Jk4XYIB+0XUqgDdYG/rDxD3xn/Y6cnDRycgUmewLzcmr4tPIbHnB14qPx4eDOBta8lQ8awd+NVuZkhvHLEZKPnnoIW14+O7SrMF7RwtiLr0Dv671xTEoO5uv9ddS124jwP7rn5mr0erqWb7+j+fXXCbnjDhq/XYwKD8G+kmFBLr7bUUhLbTVBkdFH7etodDQ1Up2fx9TrboaiRyBuIlRshgOfw8R7e9qFxMZTvicXj9uNSt3/tFd5s4Vwt4pOYxX2mGzGXTmZz/9ZyFibluVtNgrqzAyL7L3QrWV3EevTf0qwxpd4KXl5x3NMbkxnX0cqUVHBjBkzho7ODl7e8TIxDhfjjCMQ4ZG0VHfistlIj7JTuWcrLoOkMzQAW2Q8EbGZaEs1lOQ2kJzT29nL31hLe6ONhT/M7pls9fHTMfXqVHLmxvHMv/+NdHYwOcHIliobj322g8qWTi4bFU12bACbDjbx2a4a3tniDSikhpt45KIM5mQeWk3b+O9/owoIIOjGG3qde39NB00WBxOOMZnaTVqEH0sN/oSbO5BRgeidvtRaaon1O/3FU45p3IUQYYCzy7D7AHOBp4FPgNuBp7pel3Ud8gnwthDiWSAaSAO2nIKxn3JGXxjf/w61FvxjBvbc7W09JfaEEH0N+yAJ8QlBJVTUZS6ENYtg31JqJ9xMfd5WkFBXUsTY+Qlo9WpGTpsAf38INv4b4l6ns70NHz9/yj1BaHUG7MZa9vnNIri2ELfaQ2br3bRpagEXC8sfY6zOj2G7tei2NnOVpYnAqvGsi5rEyzUh+OrUTMmcQ+GXNozSa1Atxmw8bMfo08bu1iJvWtzixaTqDWwODERrKaVJqDmgKyKZOdgtLuLH+kBBG7KpmPq8DcSoWklOzEKr17O9ooPtlWaigv1I9VTiVjehb00DE5S0lTAy9NDDYlmThYSulalfb/+aL778gqrAKh6a+RDG6liSau9lVW0aKbt8qAm38cHHzzM1eSErF1cjfTRgtXKbKCZ6x8d8vqIGt6+GPamtBHXo2Pj+2+xc8SnjLr2K0QsuYUKSN8666WATl+cc/f/obmxC+PhgmjaV+r89i29gO42VFQQFx6HOvIhh+ev5jnTyN6xl0lXXY3W4MNtchB/jpnEkBd0hmaRA2NPiNei2Ntj/aS/jHhqXgNvloqW2mpCY/hcFlTdbSQAcJg9SrWPbuiWkjplP6d4mDHp4eccyoiIa+FHOj9CpdTjtbr58swSHPpDaZvhq5zcEl8YTbY0hO2skl152OVqtlopmK9u3rGB3xBfcUr+BEXM2svipUkZGwXx+xecHoSgiiJqQOkLleKr2lTF9xEhK9jTidntQd9243S4PW5eXEJ7oT6new5OvbyM5zERqiA6jrZG2mhI0jjaEy83W5kBefmM76REm3rl7EpNTvN72XdOTcXsk+6rb2FDcxIfbK/nJOzv5+EdTSY/wozM3F/O33xL2s5/1WrFtc7p58INd+Bs0XYVojo2/QYs7KBjf1joQYHKaehYinm4G47lHAYu7Ml5UwBIp5WdCiI3AEiHE94Fy4FoAKeU+IcQSIA9wAT+SUp5/1Yv7SYcEvFrX9o5eq1NPFK1KS6ghlDqNCi75O7SWUxsRS2O1N7RRU3CASVcf5mmMuxPW/xOaS+jsaMcUEILbrCIgOoEm+wGaQiZzsCqTxtHTCLRF0By+mdHJEZTZFuCs3IE2LAlMYQhjGOP2NKNbsprWO29i5nW3Ut3cQOGXpYQ0eW94ba3esEOYqKSmuYzKn/8c84ovUIeFMnfRIj744AM+02XT7FvTM7z4cSlQAGu/WUm4sw7/pFFcfbW3fuRlwLLcKh75aA82dRspsg6fxhSI8WbMdBt3KSWljVbGxns9qe/Wf4fRYSSnPgfzd2ZGqN4nI7CJkrGP0Lr2Y7IO6qgvXsNS1gCCNm0gAS4zxlYnxvRMMi67iJ9U/pGFDjef6eB7nQlE1Uez7p3FbP/8Y8ZdehX+Wh+2lDQf07i7GhvRhIUR9fjjdF5+OVVPPE9DZgrRWWNh5Aj8931ETMJM8jd8x/grruOOV7dS2Wxl/cOzj6saT/6mtYQlJBHcusP7BJk8y1v8ed3fwdoMvt4bUmicN2zXVFk+oHEva7IyQTbQpNfh47awtxKuushD0XY3F5oMrKxfhKuhndz6XP5+wd/Z/EYVzR1qMiqWsTdxHus/2060J4p5MWamXHV1z3U8u7IA2TaVgOgNPO9n58G3X6SzfSYjNH9GE1SPf2gqIDA0evBxFCFjMyi270JaYqgubCUuw3sN+zfUYG62M+7qVO5csoNQVyPuokYsog21kHRKDSNKSkgtLCY3KI1Hf/0Hbp+S2PNU141aJciODSQ7NpArR8ew8F/ruO+N7Sz78VRa/v0c6qAggm85pPkipeTRj/eyr7qdV+4Yd1w3YGNUBL7VXn/W12U8Y+mQg8mW2S2lHC2lzJZSjpRSPta1vUlKOUdKmdb12nzYMU9IKVOklMOklCsG7v0cZiDj7rB4M2kMJ2/c4ZCuO2Nvhzm/pc5aj8bHh+CYOGqK8ns3nnAvCDVsWkRnexuBwYGAZGLrZ0ghkPqD5A2/g1pTJs7Ug0gkcTMm8orP9/it/5Oob3zLm2M/+zfoF9xDaFMTMyIS8PPzo1FTQ6uhHlW117Npq/dOaia17ufXb9kxr/gCQ3Y27oZGhoWHE6G1UOyciDB40OrVhMQYMSaPoFoVzZq8Wqrc/lx84Zxew788J4ZPfjyVg85AJB6soolAZ3ivuHt3GmRCiJHmtmZEs0AmSa6++mo6LR0sqw7jn/I2qsNG8b0fXU/k2F3Uxo1Da7yYlpjJtOqDCIrNwRB0K1f/5s+sNu5FqFTcX1fFRAx8oSvhSvl/3DjRTViIkbVvvcoVravYfPDYK0wtdVWUa9p4ZNcTfDPPjsWqosOuoj3Aw1a/ILb7BeEb3ExjRRl/WrKY7bXbqbHU9eiAD4b2xgZqCg54y7YVfgWx473GPPMSkO5e0srBMbHeFc3lA8fddfX7sapbQEpmZcYSQBvr1n5CYnYwKW0ehNvO9ek3sbdxL4/9exEHdzaQ0bIGTaKH1rBcVC4VMT4rmDrvih7Dvr+mnY9zq/jelAzuyr6bDT56NhWFYFLVE5QdwdNTbuXLCG8UN7LVhxBhZ6rYSn19MQ5THSU7veEtl9PNtuWlRKUE8Grubqa5djJeFDE80MOIUaPJmH4p17ryGL91O356F7NKtnKDqOlj2I8kwt/A8zeNpqzZyrPPLsGyfj0hd92Fyngo9Pf2lnI+2F7JT+ekMTsj4ii99SU4LgqjxZth5ec+i427wgAExntTIV1HzIR3KUJ2h2VOlkhjZK/HulpLLZHGSKLTM6guzO894eUfBVnX0rDhQyxtrQSEhvJj368Z3/oZ8QFqnCHtuIWKyKA6rOZmSvxL2NiykaIGMynhvVcj6pKSQK3GXuQtMlDWXkZlQD7mUg9ul4f2xk5UKknK550k1UH9r28n/Be/8L4F+flcqN6ISvqQY53I2IsSGHtRIp1ON++Ly9BLB/v1mX1iuQCp4X6MHp6GQ2qxGxrJ9ORQ0nooW+XwNMgVm1YgEEweM5msrCx+nFrFHLERsyqQ+s2f8FWFjpSGmSSaZ1A3Ss2bulGMvvNnLLjvfiCM3VsP8nHRx1zuG0+YBxaMf4BKjZq9039CtKqSaw3vMSm2k4D6fMLzV9F4jMVRbdWllGvbyavexGvRHSyb6F0XsXPrh9y56j7uCPXj8eBCPEiKd7+Mb+J/8U18ge8KBj/hVri5KySTnQk1uZDWVdw5KgcC4ryhmS60egOB4ZF99NO7cblc3N7+MQ5DK2qrmbi0SSwIa6De7EIXV4/GpWZE5ULGmu7gz5EvkFYymYMhmxF161gdEowVJ8GNY5ntCPWqqHbxzJf5+Ok1/OCCFK7PuJ4k9zDabFmoR5i5XFTyVtGHBF98IUJK8Ej8opKYxSZ0HivtpiIO7C5FeiR566oxt1mp8SvAVLEefx8tt956Kz974AFuuGIhN1jfIG7PWoRGxfClX6JLSqL2d7/DYxm4vGM3E5NDeOSiDNKXv4PDP5Cgmw6tHt1Z3sIfPtnHBelh3D8nbdD/m26ikuN6xMNMHsMZC8soxv1ECUwApHcx0+Ecpgg5FET4ej33biNeZ60jwjeCqLQMbB3ttB4hFOUcczeflSXga9AwekQED3heZ7vPFMbMvIQOl42cwPV4MhyoVCr0aXq+KltJaaOF1COMu0qnQxcf35MOWd5RTkNwKS6Hh7qSdpoOVGKwNqJxSR67Wc3uLCOGTG8Ovm3XNnSu/VT5VhFa70f61BBSx4azbNky2twGLucLJqRFDhiKuGpsLCXuQBz6ZuLsqRS35HvDTR/eTXNXndnEUCMFeQW069uZM3wOtFWh3f0W08cOpzJmFo36KDZs38Ma1QSswXl84vcSqREabpmUQFRyAKYgPRvX7sMt3Vxa08lz6nuoWN3MsPZhLPfxg5/m0nbRu+wyP0hocCxj23ay8uPPBvw/SSlRtbRjCA3ls4NFbNAOY+F1fwDg+i2SlzMe46URP+DfzTXYAowkV0ZxY9qtqLRtrCrKO+bnQErJutdz2bliJWGJyQR1dOnHpHYZdyEgY6FX0M5+aBFXSFzCgOmQ7RteQeMx4ta50Xa00HLPD0ibfTfJlLE5dx1lgXsYVTeFD5YXkf+RhXKtnQ73BtZPmwoaN9/EfIlKCr5quoTLnt/IB9srWVfYyOoD9dw3M4UAXy0+Gh8uab0Dh8rGP/QvEWOK4Z2F7/CrhU9h6lrbaAqPwT38Ku4S7yGFijp1LmX761n/5U7aIndSX5tPtS6Wn//0R6SkpKCSbvjoHtj+Kua2KHwnTkYdHEzUE3/CWVND/d//ccz3E+AGbT05jcW8mnABm6q6Vnib7fzwrR1E+Bv45w05qFXHX7w6OS0Ovc3rCOjdWsVzP+cYKB2yH0XIkyHCN4JOVydmp/cL2+O5p3l1YaoLDvRqv3rFOpodvlwUV4zvih/RpI3kMc1PGDFyJAaDgf2pMewrKWHSpEnMTp1NSdtBPJo6UsP66ojoU1NxFBV7K9aX5DPM3IRAkvev92jaV44RM0m3RuGM0lLUUoTa3x9tTAy23K1s9DGwN3gvwiNYs2YNGzdu5MCBA4xP8iODgyyIGdgLnp4aikfnA8KDsdZKpbka29e/5//bO+/wuKprb797elOfolGvttx777IBg00voXcIgYRyE0IgITcQuOkkEJLwpXAvEEIoIQQSmrGNbWwwuOEqW7Jlyeq9jEbT9/fHGcmyLduykWVZPu/z6NHMmTnn7C3N/M46a629FkX/ZsEn13KlbjXGSDuiVWBON2PQGhTxlxGY/QB57kQ2t2aQEBhGwNiEwbgLPREWTqlEr9UgNIKMCQnIA1Yu4FzebZxKQGfBYrYwunE0nmUe3nr7HVZusRERekJiMVXmVCr/8yIVRTt6HfOumq1YOiO4aVfqCl38LC1VVeiNRjzJKex8aTm+jVrSvA6yTW3E+L2cZ1EWrW1t3IIveOyw1LbXv2DLJ/tprS9DlkmqnvojbbUuQvoecYARFyo57yUfdW+yp2fQUlNFKBg89ICeemI+eYJNYjhISUJtDaKzk469Hs7PgWAY/IllmCN6xpcG8OogeU4cGaZJWLxePnC9C8YAWabPEeECAv4Q33n9S67/y3qcMUZumamsEG2u6SBYbME/ooZH5j3ESxe8xCi7UoYjya1kDJk1WowLvotDtBIfrCKs7eTlV1+k1rSJoFbwQaCAb1x/OTEWMwQ74e/XwfY3CIz7LwK17djmzgHAMnEiCdddR/PLL+PddOyVuVJKGn77LFqHk6Ipi/jWK5s50OTlW69spqkjwHPXTzrpPhF5aYl4NUY0EaHUl1Et9zOMo4l7LxUhvwrd6ZAdNQTDQRo6G3BZXSSlZWAwW6guPijuRWtXsX3lh0ybN5VMzX7wt/OPvJ+yt02LXq9n7NixVFZWYjQamTlzJgszFJ+3LmbbEZY7KI07Avv3s2fyFG7+78+4/qViYtrKqGkz4bMl41o0Hf3YeeR529nborhvTCNH4C/ex2dmE0GdjjpjKps2beKjjz6ioKCAtnilHs0004EjzgeArw3d367gb5Fvo4tAQGqQQlB245tw7xb2GUfyC91zrPjHEwDMmDCT8g172bSqiY/4Ja/9vpb49+q4rsWAsT2FeXnJtMpECqsXsq32o+47oD2JX9BpK8O4z0oq1dx5zaXcfvvtjL5wNGW2MrZt28aW6uV4XBvxCB363PPxGmJ5+5dP0lp3pCW2atvbdJqSaBMX0zb7KYhNoeHAfsyZuayZMpmKhAQ+rq7mz5orqTONwO9Kp2ztl8Ro48G4tzuX3ufx8PFLf+Gdp37CutdfZs9nn1C68hPWfVCLoUMpE90WM581vksoW22heM5c9l10Mb6dOyFjBliSoOjgHUZSeiaRcJjm6kNXU7PsUTTBDhp0BrTeDhKDIbSJiXhWLKdh5tcojishwRtLXJ7EYNJx+TdyCZSuwRQMcm5NDddOuZmHQhbGJO8lEhT8fuFI/nb7NC4Zn8KTl47BbFCs8o3vl6HTabj3puu5LP+yQxpVuyZMAiDyxQakPZ/O/Au5XfsPzOEsgqKDWG0WL3mGs3TmWCZkJCiG01+vUGINS3+Np1NxmVjnHKw573zgfvRuN9Xf/wER/9ENiI616+jcuBH7N77OszdPxx+KcMEza1i3t5EnLhnN6NS4o+57PKxGHR5rLLqQBiEFTb6m07KQSRX3kyU2VQleHp7r3u2W6R+fu8uqBHNqvbXUd9YjkSRbkhEaDe784VQVK0HVltoalv3pWVKGjWDGHQ/DjG/ClS+gc4/C4w/R5gsyaZLyZZo1axYWiwWX1YXLUIAudvsRPneAmPMWY5s/n9jLLuXP5+tY/6NLyLt0Bq2WdELoiHfHQuYs8gIBytsr8IV8GAsKCNS2skVrxm0cz2edLgwGA3FxcVx88cW8UxNHEB1xzUcpS7vmV7B3BU0T76UtFI9f78EUtLJX+iDGxXdMP+JfMVdT0qCjyViPc4+Ld/5cxqet11LhycFk0ZI60spGaklfHMfKSAbX809iwmZSd6ayrngdTW1N7Ny0iU5rJY5QLDcmbMaWoRTKumDsBRQlF2HR5xLbkU9Y7ydkKya/Q8s/7ecRDof5588exx/t6AOKFbhp1wr2ZV9IuW4ub77jorHSQ1VtPVVaCw6Xi7u+/SDlHW6clbVY2zsIxjvYWt/ChTunk0ApnxTXsW3lhzx//51s+s+/qN2/l0//8Xfe+fVPefO5n9Lh+RNesQtndi4LLnDRmDiS7Rc8ifWe7xCqq6P+6WdAo4Xh58OeD7pjQfY0xQjpWsxU0V7Bo+/fQe321/go6UbQ+dC1N5I6dz62wgV4Vq/hpQMrKIvfg5UOOsw7WfLAcN5693W0Wi3zVqzEOXYc92ZfxOXl20ifPh5LrIHdn9UwM8/Ob66ewDkjlc9sa30nez6vZdTcVCyxR1rBzmiDaLFrN+3LlmFZ9D1sohOrv5qk+hmsIYO0pBi+fc4wZQXu76bBgc/g8j/D5FvpWL0GfXo6huys7mNqrFaSH3+cQGkpDc/+rtePmJSS+t8+gy7FTfwVV5DntPHLK8fS7gtx7bQMrpzce2bRiRCMS0QXkkSi6zcPLwA4EKjifrJodRDXS657d0C1/9wyoHw4unx3Xda8O384DWX78Xk8/OfpnyE0Gpbc+yBavR7OexKGnUtKvBLUq2rpxOVy8c1vfpPZs2d3Hz82PAGtqZpmfzWHYxo+jPTn/kDo3pv4cDzETZpKxtjk7vXGcQ4zZEwnLxBEIiltLcU0QvnCJjTA6MTJNAc0XHbtTdx2221ENHrWl3fQYMlVgoGH01wGn/0Bxl2N46LHaDFlIDVh8loL2Nu6FyklpU1+NqZcB+F4LMb9FC/bSbx3H4U7vs+MFd8h/7nrGP7bm3jw48dJf+hmNq8uJskY5vqMcnTo+PD1D/nD//sDsZ2xpDuGIxrG4su8SPFZAxa9hUUxSzDudzF1xhRycnIIGxvxtVhBk0ja5XfRVFXBf575OZFosa6djTvR1EhqnZPIthUjJbzy1L9ptadgM5u54YYbeGplGSt1aUx++MfcmbuGpb4tGKv34zdYuWO9E155gg+fe4aElDSu/+lvuP2ZP3PPs//LGLLQWxaTmjONrHETmHH5NYyO+5ilif9De8DKRxXDKL/oapo+/ZRgZSUUXKgYGKXKStiElDSERkPDAeVz+vLOF3mr9jNuT03l447hIEHX3kLmRRcTU7iQiMfDgVXvc3H+BZwn1lFd38iLLz9POBzmqilTsDU3Y54wATa/DIBm3BUMm+qibHsjnZ5DrdNN7+9HoxFHXS+SMWY8I2bNw+1Oo/bJ/yFszcKTfR7Xm3/LcleQzR2d/KbQiPmVS+CNW8Fqh1vehzFXEPH76fjsM6UJyGGxG9vsWcRddhmNzz9P+4qVBCsrifgOrkz1rFqF78ut2O+6C41BuegsHu1mzXcX8MTFx1p833c0Dgd6f4SIUD4jPUt3DxSquH8V4jOP7nPvJ7eMw+JAIKjx1nT77roEPyW/ACkjvPWLH1Ozt5jzvn4fsY5DF1u44xRxr25RPtx2u/2QUqjeFqXmzbLyZUcdQ1m7YvVlxGaQnBOHTq/sH+c0gymOvGhD65KWEkzZih81q1YyO206AE0hIzabjfWljQTDEuEeB1VblDUBPVn+uJK3XaiUi504ZSQioiPDl0FpaykNHiUNUuvZQYQIU0ZfTUskjeSa9cSOHUPcpZfiuO9ekh97jD8W3kGVOYHH1z+Pxjie3NpVGKcb8eLF4/dQUVDBJWNtSDTsDc0/ZBgF++YQ1PgJj6kjKzsHr0aH1HiZGNSxU7govOUuSjdvoOiTVQB8UPYBWW3noYmEmD07wLTrnTTadqMJBpg5aipfVnfyt/Xl3Dknh6k5dsSYyxhj/gxLRxuGTg/luSOwBjxMSkzlygcfxZmVQ8Tv58B/PcJ+6zk43KO46omHueTBR8mbMh2Kl5GRa+CiB8bSYNzGJ4Fmvpg8i+Y33lCqihpsUKRkzej0ehKSU2isKCMS7GRZ0RvkBwLU6g2YWw+g8wk0oRCOrBysM2cQMuqYvCfM9ePvYsz0BWRSATLCDRcXYl31KgCW9d+C1T+H7LkQn8Hw6W4iYUnJhoNZP+1NPoo+q2HkLPeRK7yjmKw2Lrj3QbIee4xQXR0Nv/0ttnMeJl7TwbnBV3kp7V9M+M+FULMNlvwK7vy4u7ie94sNSJ8Pa9Tffjiuh76LLjGRirvvpmThInaPn8DuiZMoOedcqr/3MPq0NOIvvfSQfdITLWhOIoDaG5ZkJ0ZfkIgmhJDitARVVXH/KvSW695luRuO3eigr+g1+u6OTIdb7snRoGpl0Q7GnXMB+dNmHrF/atRyr2w5soBSJCIpqzWRoM1h2f6ji3t5mzLHzNjM7hLACIhNUo6dnjEHvZSUNO1GF6mh0yQZ12RmXIpye9tVGGz1ngaMOg1J+dPA1wItPVxaFRth+xsw85vKHRFw6awsNP4kTEEt+5r2RdvBSUL1NdRb6knckwoywohLJ5L6uz+S/P1HsH/jGyR87So6ps/l4VlfR+t0UfXiTrwH2rkycxIfpnzIu6nvcv3060lqfJ8kfTnF+2wEq6sJNTfTUNFOexHsTvuUD2vf6y4dG2fdyNiglg17Gxl3zvnE2B3s/nSNksWycz2x4cmkVn1CS9ZE3vr3G5iNeszle9jyXicff1yOWa/lgXOG0ekJsCOwlHebH0GKHPSVpUiNhpaUTJwff8L+iy+h49NPqfruQ2xtyyJktHHO3ZPRdOVue+qgegut6YW89f5rdGrr0YUsVKW7qHvrLSRayFsERe92lwG2p2fSUL6fra9cSi1Bbsk4n5+lfJeIQY/O4yHW5cJgMuPVhNiaJZhZasBtdSPm/BfXGVZwb/hPpPx9EZ2r30UfI9GNnA0XPgNXKbXU7Wk2ktJsFH12UMA2faD8byecd1hdpl4wjxtH/Neuoumll/C1GOnIKORu3dvMbngNxl8L39oEU25X3E5ROtasRhgMWKdN6/WY2rg4st/6J2m//z3uJ36M44EHiL/ySszjx2MaPZrkHz56SA2Z/iYh3Y3J70dqwpgC1tMSVD2h2jIqhxGfCe3VEPJ3d13C3waGmEM+iF8Vl8VFrbcWs86MVW/FFr1wmG0xODKykMC8G2/rdV9HjBGdRvRaHa+qtZPOYJixiXNYVf8ClZ5KUm1HrsIsby/HorOQZFKWc48/JwNHRgzaqAWvz5pDVsVblNRswufTsNclyG8wkhJnxqDTUNqgZPp8UtLAtJwk9OnRu4vqLyEhS7HgP3gErE6Ydd/BeceaQDgR1NJZ10lJfStO0Y42ILBl29i/sp0kbx3Jt97K4VwzLYMsu5WCh1+i/LprObDKR87szYx2jaYj0MGCtHnw2tfJtqezYV8G286/D0vEw855D2MwuHBM0/JR+Uc8Ov1RzEY9mnAZunZBsKyDjkCYYdNns/m9d9hyYAPu4jEIGcHevo6X37NitVrJ1oSotFpJSnUQ2tjC+XYTy57bRsWuZiIRSbwhmal5HjxpD7F511Y64wXvXPl9Lv/0ecpvuZXGxJHUjL2IyednYU/rEb8pWU4FLl7ZHKEzWMf+3P24t0/AoPNSHBtHxsqVxI64EHa+BRVfQMZ0kpKd7Fn/CR807caQGMf8+T/mo4d+CHFxiLYqSt0eWv2tvFXyFl/khZm4O4hvx07Mo0dhWPpTDLvfRWbMxPvB89gWzIMrfnbE37tgejJr3yihuaYDvVHHzrVK57JDqqkeA+cDD9C+7COqf/QYWU8/AWt/hZh+D6RN6vX9ntVrsEydisZs7vV1AF1SEjGFC/p0/v7GlZmKad12wEZyxKVa7mcc8RmAPLQan6+t34KpXSRbk6npUNwyyZZD+45e/v0f87Uf/RS9ofdbX61G4Io1UdVyZDW8kjpFdC/IOh+t0PK3XX/r9RjlbeVkxGZ0+zbTRyQy/ZIelSwzZpAXCLK3rZTNVesodQniKtsQkTDZSUo/1aqWTkrqPMzNt4NzFFLoqPrFHym7/gbKLl9C2f8VU7Y2i7Lb7qb89jvwFSlZQOkZWRDR4m53s61uL3nGckIixCx/Hl5NDHnjErqbGPdkwXAnj1wwAoPLReZLf0Vr0lD+09d4OuU+/nfx/xLa+AFVK4Lo3/oPAB1Lvo686Caqg05Sd7/DVb/bwLgtbawtW0V2dg51WhsWs4cxPi0by5oZPmM2kXCIFe++wfD6qaS3r6Uqx00gEODGG2+ktbIcR2Y2Fz8wgXqDJLc+QnO1l/HnpHPVI1O49qJiZvIrzv1aNjGLNMiIlmComs0FlxEZm0rx6K+RYGlm8kL7IfNa88VK/sxV1Ieaed/1Pi0xLQTsnegCsZSMKKDp768qC5s0emVBk6cee8lfAcFnhjRmpc2FtRsoBbQBK7pAK+XmZu5adhd/3fVXwjPGg0aDZ8Vy5YRjr4Ir/49g8nmEm1sxT5zY62ckf4oLIWD3+ho2LytDRjiymuox0MbF4freQ/i2bqXl461wxfNHFfbAgQMESku7UyAHI+ZkF5ZOJeieHHGqAdUzju50yB7uBX9bv/nbu3BZFcu9K8e9J9b4BEzWY7uAUuJNVPXilukS92kZeZyffT6v73m9156l5e3lR+1GrwwiiXxDApUhDyvaiil3aRDBEP59+5R+qg0dfFKsNH6Yk+8AvQm/yKf1032E29qgZT8YLBDjBo0G3/btVNx3H2FPB5MnuDH6k0j1plLSWEKW6KDGWoN+bQARCTHqtuN3cdS73WR8YxoabYimu+6j87FfsPfmB2krN5N6+SKc6RaqLAXsdS/EaNYy6WsTMHuC3Pd2hPhrHyLVbKGVWHITPyctrOXzLTUk5w4j1u7Et6EagSC3+l3K3elkZ2cTFxdLU8UB7OmZ+JC8bPIhFru54ckZzLg0D0dGDGLM5Upe/oa/MCW4ng3O9YQM7VQZbHyc+AheTRKF5p+hfekCaK0kFArx+IuPsbwyhQZjC6HJIZ6+8GnevOhNFk6bgaUjlQ6TiZKy/QTqWhXf+4634H8XkxRQVvhGWoIsTilkz29+Q1t8HEavYlVfOfsWipqKqOmo4WvT7sA8cQLty1cc8jf0btoMgHli7y0SrXFG0kcmsmtdNTvXVDF8mutg57I+Ert0KZbp06l76teEjtHjwbNaCRZb5wxecdc5HZg7FBdtYijutLhlVHH/KnSJe/Nh4t7PlrvL4qIj2EFpa2l3auSJ4I4zU916pOW+t95DgkVPks3ILaNvoTPUyStFrxzynlAkRGV7JZmxx7bCcpOUwOzbuhCmdMV94y8qItthpbzRy8rddThjjAxzKRei9rpEEJKMe+aQObeSzOd+Q+ZLL5L54gukPftbggcqqHnsMdyZsRh9dvRSj7m6AoPUkGbQUB1KISXRjzmxb39rw4RzyJxfh9BraPv3v0kYbSD365m4fvDfDJueSsMBD2XbGplwXiauW28g9/33WPvAfHQeP/E7lLRNQ/hzIgKavmxCCEHsiGGY2luwuovpQNBmNDFy5EhaamoIBQPYM7IoqfMQFjBsWOKhWR2ukeAYAR//hDGbX6PKVk6z1k9rYhWjC93MvmoYyTc9AU2llD53DU8/8wsi+yRhUzEPLZzAU+c9xZTkKQghWDB5Onp/IhJB8bBhtLz2mlJrpq0CPHXE3/pXpFZg95gY88omSvWKN1bvUS74i6ZcwtOFT3P9iOuZmzaXmMKF+HfvJlBx8I60c9MmNLGxGPN6tIo8jOHTk/G2BgiHIkxanNWn/0tPhBAk//CHSJ+P2p/9/Kjv606BzDrxcwwUOrsdq1dJrrAGTKpb5owjNgU0ukODqv1UEbInXda6N+Q9wi3TF1LizVS3dhKJHJqdUlLn6V68NCxhGPPS5vHyrpfxBg/mcHc1xc6IOUr54yj5mfMA6NRoGDZiMsJoxLeriGy7lVBE8tGuWmbn27sFrr3YgzkpgG7Dr5TGJfkHu99YJk/Gfs/dtL3zDuLTjzCGE4lIyOrUEdAEmLVRj9+YQMGSsX3/I2TNxhATJvu/ryLvrRdJHlmKfvJSAPImOUGAyaZnzHyl7rbQaJhwye3Ux0HTni+wmfRUkIjR0YmjKURbe4DqNhsQIT+8gv0O5eJXUFBAw4H9gBLILKlTrLdhrl4uQgsfhUk3Y7r7c8a4xrMtaR+RoI9AQgXjCtPxpMzkzcwf80JnIe2eBj53reU7wfdIH3PZIYcxmQ3o7GHCQSu1Lhf7P/iQSP4SmHgj3PxvRPZM2q1hxtTE4Hn1darGjUNoEiDQgCUuAWt8AnPT5vLQ1IfQCA0xCwsB8Kw4aL13btmMefy47taMvZE9zoHRoiN/qot415GdjvqCMSebpDvuoO3f/6bhD384ollIxO+nY/16bHPnnlAlzYFGExODxd+hpJoGdDT7m/GHT7xx+1caw4Cebaih0SqNO3qKu+8UuGUsB631k7HcU+JNBMOSho6DHy4pJcU9xB3gtjG30eJv4Z8l/+ze1jMN8lik5i/BFO0+NH3YUozDhuHbtYscu1JpLxiWzM1XmjAEKyvxl9UTk+qDkA/OfeKI49nvugvLlCnUPfE4drsJGVKO0yYq6WhyoNVEyJ16Ag0QEjIhLgNd4wZ0DdH2AsMWA2CNNzJ1aTbzrhmOwXQwx2CCcwJBZwItZbvxxPkpJZ0J6UUYpeCjt4vhQB4Rg4W6AzUcSEknxWDAZrMpDbGFICktneJaDya9htSEXlwUBUvgwqfBns9E50QarLvZF0nks88+Y9WqVTz77LNs31vBtCmjeS/tI6aES4hLmQLmIxtH5BWkktg6DJDsdjppX/05JdP/B5k8ls11mwnhxdAcIHDOOTRFIki/nXCkDld2zhHHMmRmYsjL7XbNhFtb8ReXYDmKv70LvUHL1Y9OY8F1BX37nxwF+93fIO7ii6h/+hnqfvHLQwS+KwVyMPvbQbkLMcaaERE9mpByERpov7sq7l+Vw9Mh/e3975bpIegnZbnHdS1kOuiaaewI0OINkuc8ONYJzglMdE7khR0vEIwotUh6pkEeC02smxypJSYiGZk+B1NBAf5du8hKOmjBzcpTgoPtK1YCYMvWKtala9QRxxNaLSm//AUaoxHTvs3EdipZPJP3NFDnnEjWGDt64wlmJGXNhrK1sPtdSMwF+8GKf1OWZCsWfM85CQ1jxy4ivcPExvBmOrCik+to1ESoWlODTuqIH2anNOikLT6OYXbl4tVQXkZCshu90cSeOg+5DttxC1BNdE1EEmaTNgxCw8qVK3G73dx9993UZ3nxaiNcnbUE5j3Y6/6ZwxwYQzbqTI3sz8nmk9/9H4ueWs0rnx9g3brXmLTXT4fFysrsLIxGI8bWOAg14cg6UtwBYgoX4t2wgXBLC51btgBgHt+7v70ntgQjOsNXyxQTOh3un/yEhGuvpen556n54Q+RYSWt07N6FcJgwDJ16lc6x0BgdjnQRvTIqLgPtGtGFfevSnzGkQHVfnbLOM1ORLQ17eEB1b7gjlcCZ9U9gqpdwdTDa8rcNuY2qjuqeb/0feDINMhjcWPOxXzLPR+dRodp5AjCra3EtjUSa9Ix0h2LI0bJamlfsRxDTg7G762DC3551OPpXS7cP/kfLBXbMXtdFBnWkldiJKi3MWzGSXS3ypoF3kbYt1JZpt8HjGnpGNt83D1DSTX9qS9IhasOgWCf/UsKs3UEYpTGEsOjOfENB/ZjT88CoKS2nfxeSjscznjneASCsO0A5M7kqquu4sYbbyQxKZFXd7/KeMd4Rix9Vslh74XkXKUWSkdEQ1irJWgIMEXTxp/+s5FxP/8PWr0Rb+ZwvJ2dXHHFNdh87QgiOI8m7gsLIRzGs3q1EkzVajGPHdOnv1l/IDQaXI/+gKS7vk7L629Q+Z3vIAMBOvqQAjlYMDgdaEOa7rV6Ax1UPa64CyHShRArhRC7hBA7hBD3Rbf/SAhRKYTYEv25oMc+DwshSoQQu4UQx09nOJOJzwJPrVKtLhyEoLffxV2v1ZNkVsT1ZNwyvS1kOpq4z0mdQ158Hs9vf56IjByRBnkslsz/MdcsfhYAY4Fya+7fvZtvFeZz70IlEBdua8P7xQZFPOLTlZaFxyBmwQJS5oxGILj5Uzd1KdMwGDVkjErs4+x7kHWw7EKXS+Z46FOVFbcLYkdhNWtJ9drZkPYUu+0bCE+uI6d9EzI2AWN7GwnpaQQDfpprqrFnZNLuC1LV6iO/N3/7YcQaYhmeOJy4xArW1moZOXIkQgg+rfqU8vZyri64+pj7B40aggZBfFsBLboWivOH8YPgdr7x8bPoQiZ2zFmA1GqZPWYEbW0mImElG+Vo4m4aMwadw0H78hV0btqEacQINJaT86OfLEIInPffj/PB79D+3vuU3XwLgf37sc2de/ydBwE6hx19EMLR3sCD0XIPAd+WUo4ApgP3CCFGRl/7tZRyfPTnXYDoa1cDo1Aaaf8+2qJvaNKVMdNacXB1aj/73EHxu8foYw5pFN1X4sx6zHrtIRkzJXUeLAYtKXGHLjIRQnDbmNsoaSlhdcVqytvLjxtM7Q3TsGEgBL5du7hjbg6LR7sB8KxaDaEQtsLCPh8r99uK1RwOOql3TSRnohOd/iQ+UvGZSkMLUxxkTO/TLvoURdxDVVXk5+Ti9DmYa0pnZf5LjLAX0FxbTtBkhY4WgiYTTRUHQMpoMFW5gPbFcgeY6JyIX7uPopoW6tqU/9Xfi/5OoimRczLPOep+K4pqOe83ayglRLYvj6LEIjpsVuo3fka2t5X3zi9EaA3EVJUSaWlkf0kzMlyHxmAk3uXu9ZhCo8G2YAEda9bQuW3bUVMgB4Kk224j+fHH6NyspGMOdn97FzqHA31AEhYRYvUDnw7ZlzZ71VLKTdHH7cAu4Fj3xBcDf5dS+qWUpUAJMPgdZCdLz1z3fq4I2ZPc+Fyy47NPal8hBO540yGrVPfWK77g3izyxVmLSbWl8qetf6KyvfK4wdTe0FitGLKy8O3adcj29hXL0drtmMeN6/OxTLEWYhP0VGWfQyiiJX/yid+9AEpxsPkPw6IfHfeOoQt9qvJRD1RWkpU/Eh9mvu2Pw1P8ENmVXnah3JHoPC2UlhRRX74fAHtGFsVd4t4Hyx0Uv3tI+tGYKvmkpIGK9gpWVazi8vzLlZr1vbCupIHbXtiA3WZgyYIs9D4dGosBNEF2jB7Fu4sXEtIaieTNw+mw03CgnMYKD6FwHUnpWcfMfolZWEjE60X6fMcNpp5qEq66irTfPkPS178+qFMge6JzODAEQkgBSbrkQWm5dyOEyAImAOujm74phNgqhHheCNEVwk8FehbrrqCXi4EQ4k4hxAYhxIb6YyxYGPQkRAONzWX9XhGyJ49Me4TfL/z9Se+fGm+msuVQy723Gu4AOo2Om0bdxNaGrX1KgzwaphEF+HcdrDcfifpMYxbMP6ao9IYjK56A1GOy6UktODJbpM9MuE5pJN5HdHY7wmAgWFnZXWemorqe3IQ0TOWr2SkKsEuJrbOTPevX0lC+H53eQHyym5I6DwadhozEvrkzJrmUFZkx8Qd4b3sNr+1+DSEEVw2/qtf3N3r83P/qFnLsVt68eybjJyoXvfOtl7M9bjfNiYn4DBqqM1y8+GUr1uQ0Gg+U4a31IsP1pOQePWcdwDJ9OiLqijFPOL3iDhCzaBHOB+4/3cPoM1q7HaNfqZRpDSYOPsu9CyGEDfgHcL+Usg34A5ALjAeqgV91vbWX3eURG6T8o5RyspRyssPhONFxDx5sycpS75byfq8I2ROr3kqc8eQbCLjjTN0BVY8/RHWr76jiDnBJ3iUkmhS/9vEyZY6GccQIgpWVhFuVVa/e9Z8T6eg4IZdMF0lpylhzJzrRHqcBcn8iNBr0KSkEK6uIi4sj0aqjNJjIkpR23J6dVEonWZ4O0tBTvv1LDuzcRmJaOhqNluLa9j5lynRhN9vJjM0kNbmaZbsqeGXXGxSmF/YaRI9EJN9+/UtaOoM8e+1ELAYdSWk2dAYN+f5xlMWWUR5bzvrU9Xx/yTVEpGRbhxlPcxOiuRKNDOLKzu1lFAfRGI3EFBZiyMlB73Ie870qR6JzODBF2+3lhmbxk9k/GdDz9+lbIoTQowj7y1LKNwGklLVSyrCUMgL8iYOulwqg51r1NODQRp9DCY1GCQy2lPd7c+z+JCXeTL3HTyAUYW/UXZDbS2u9Lsw6MzeMvAGdRkd23Mm5g0wFSm13X5HSUKR9xXKE2Yx1xoxj7dYrXdkgw6edeLbQV0WfmqrUSgeys7IoI40LQitoEkqQO62mhozYRGQkQl3pXhwZWQDsqfX02d/exUTnRFrlHqaOLscXaSdZ9H4hfH5tKR/vrufRJSMY4VaMCa1Wgys7lrbyILOzZvNF0heMzx1PvjOJ66Zl8nGd8nWXfsVVdrRgak/cjz9G5st/PaE5qCjo7A7M0foyoaYIeQnHvlPqb/qSLSOAvwC7pJRP9djeMxJzKdDVWudt4GohhFEIkQ3kA5/335AHIV257t0+95O3sE8VKXFmpITaNt/BQJ/r2MJz6+hbeffSd0kwnZwbpKthtr9oF1JKPCtWYps9C42pb5UCe5JekMgNT87AnTvwf9ue4p5VMA4/Riz7P2IneRgtVqxVVdidycQnK1+JpPRMOvwhKls6T1zcXRNpC7RRr38Lo3Tzxw81LN916O381ooWfvZ+EeeNcnH99EPvqty58TRUeLg651oAluQsAeCbhXl0WJR1BuHAbqTQkJR2fHebxmJBl/AV3GBnMbqkxG5xD7S2DPj5+2K5zwJuAAoPS3v8uRBimxBiK7AAeABASrkDeA3YCbwP3COlPHb33zOd+EwloOqLFt0apJY7KOmQxXUe9FpB5nF8wRqhwW3rPZuiL+jsdnQOB76du/Bt30GothZb4cKTPl5X/fiBRp+aSripiYjX2+133xHOppxUGo0phBoa0DsdDJuupFo60jPZW39iwdQuJjkVv3tDZz33TLqRke447vnbJjaWNQPQ7gvyrVc247AZ+dnlY48IiCfnxiEjkpTOXN6//H0K0xXL324zcvW0UYAepBddYjI6w8k1gFbpG0Knw6INgxRogj7afMHj79SPHLeeu5TyE3r3o797jH2eBJ78CuM6s4jPgI56pZECnBKf+1eleyFTq1J6NyvJim4AfNfGEQX4iopoX7EcNBps8+ed8nP2N10ZM8GqKmx5eThsOj73jAMEOxs0EAyiTUpi/LlL8La2kjpiFBu3K1Uwj3d3dDhpMWk4zU48QQ9XDr+EpVl6rnhuHbe98AVv3DWDZ5aXUNHcyat3TifecqQ4J+fEgYCava1MKTjUnTa8NkKRNgnCNcSmnVwcReXEMFt1aCIGTIQprm1nUuZJrM84SdQVqv1BfPSLUrtDCa7qTtztcKrpWYJgb/3RM2X6G9OIkfj37qX9gw+xTJx4Rt7idy1k6va7Z2cTQYvFqKO9Sbnt1tkdxCTZOe+ue6NlB9r7dHd0OEIIvjnhmzw09SFsBhuOGCMv3joVnUZw6e/X8faXVTywKJ/JWb2LhNGsIynFSvXeQ0s3V+5pZv/mevQO5UKVkZ/f2+4q/Ywp3oImbEAvwuyp9QzouVVx7w+6ct1rtysumUFYrc5s0JJg0VPW2EFZY8cAinsBhEIE9u3DtvDkXTKnk5657gDZI5W0wJxRE0nwKV9Ynf3QpholtR5y7LaTuju6NP9SLss/WPkxM8nK/90ylUhEMisviW/MP3ZgLjk3ntp9rd1VQCPhCGteLSYm0cT0QmV9wbARX624l0rfMCfFoYkY0AjYXdN+xOuRaLG9U4HaZq8/6Mp1bylT2sYNUtxxZtaWNBKRR5YdOFWYRozoftxVSvZMo2euO0Bubi4TJ05k7tyZrPzXVuU9jkPFvbjOw9i0/gv+jk6NY/V3FxBj0h83tdKdE8uO1ZU0VXVgT7OxY00VjZUeFt85GmfmMNrqq0kZpor7QGB2JqCpMxDWSP65uZLNB1oOvigl2W1bcTgcfP+OK/v93Kq49wdWJ2iNEPYPymBqFynxZnZWKxk9x0qD7E/06eloLBb0qSkYMk5uMdTppjvXvUrJ6DUYDFx00UUAjDErQbKelntnIMyBZi+XTzyBksR9IMnWeyvFw0nOjQegZm8Ltngj69/eR+rwBHImOBBCsOj2e/p1XCpHx+RMQlPtJwyMT4sFcfBOzuKtJj5Qh8F4EkXw+oAq7v1BV657Y8mgTIPsIiUaVBVi4MRdaDQ47r+/2299pqKkQx65XCNX6yeo0VInDXTlFe2t9yDliQdT+4tYuwlLrIHqva00VnYQ8IWZ87X8Qd3cYqiid9rRBytAwLNXjSImRjH+vF4vv/vdKmLdbm6/bukpObfqc+8vuoKqg9xyB0hLMGP+ijW3T4TEG28g5gz1t3ehrFKtPGJ7SsRLszGGL6KpigDF0e5LJ5rj3l8IIXDnxlG2vZEdayoZMz+VpJTTM5azHaW+jOJX93gOBlQ//PBDvF4vF110EVrtqfkuquLeX3QFVQdhGmQX7mgFyLwBstqHEvrUVMKNjUQ6D200bvO20WqO5fPSxu5txbUedBpBlv3EK3j2F8m5cfi9IYxWPVOXntwKY5Wvjs5ux+BXXHdd4r537162bNnCrFmzcLtPfh3J8VDFvb/oEvdTUDSsv+iq6z5QwdShRM9c956EGxuRCYl8UdrTcveQbbeiH8AaOIeTFi2uNuPSXIyWvlXAVOl/dA4HRr9SX8bj8RAIBHjnnXdISkpi3rxTu+ZDFff+olvcB69bJstuxaDVMC49/nQP5YyjW9wPc82EGhqwJDvZXdtOi1epAFhc237a/O1d2NNiuOknMxk568yOdZzpaCwWzAHlc+Fpa2PFihW0tLRw4YUXotef2ouuKu79RVcK5CB2y9htRj753gKWjDl1t4JDld7EXYbDhJuacGQoArphfzO+YJjyJi/5ztN/kbclDL7FdGcjZk0IEdGyZ08R69evZ/LkyWQNQE16Vdz7i8Qc0JkPWvCDFGeMSc2aOAl0DjtCrz9E3MNNTRCJkJKThkGr4fP9Teyr7yByGjNlVAYfRkMETcTAgcpqbDYbixb13ge3v1FTIfsLSyI8sB3MA1c7QmXg6Mp1D/QQ91CjEkQ1OR2M9dj4vLSJUSnKndtgsNxVBgdGixZNxECYTpYuXYrpJKqingyq5d6fWO1KzrvKkOTwXPdQvVIcTOewMzU7ke2VrXx5oBWtRpBlH9hm0iqDF1OMAWOnkyk5KQwfPnzAzqsqkYpKH+lZ1x2UYCoo6W5TshMJRST/2lJJVpIFo27o9oRXOTFMibGYO91MiB9YV50q7ioqfeTwXPdQg9L7V5eUxKTMBISAxo6A6pJROQSLQ0lL9dY0Deh5VXFXUekjh+e6hxsa0FgsaKxWYk16RiRH/e1qMFWlB+Y0JTuts9E7oOftS5u9dCHESiHELiHEDiHEfdHtiUKIZUKI4ujvhB77PCyEKBFC7BZCnHcqJ6CiMlAcng4Zqm9A26Ma5NRsJZiuLhJT6Yk1RfmMeFsDA3revljuIeDbUsoRwHTgHiHESOB7wHIpZT6wPPqc6GtXA6OAxcDvhRCqA1LljKe7aUfUcg81NqJLOiju84Y70AgYmxZ/OoanMkixpDoB8HWcutrtvXFccZdSVkspN0UftwO7gFTgYuCF6NteAC6JPr4Y+LuU0i+lLAVKgKn9PG4VlQFH53BAj1z3UEPDIaV+Fwx38vn3F5F9GmvKqAw+9EkJaEOd+DoH1gt+QmcTQmQBE4D1gEtKWQ3KBQBwRt+WChzosVtFdNvhx7pTCLFBCLGhvr7+JIauojKwKLnu7qOKOyirgFVUeiI0GvRhL/7QwDYk77O4CyFswD+A+6WUbcd6ay/b5BEbpPyjlHKylHKyw+Ho6zBUVE4rhtRUApWVRAIBIq2tR3RgUlHpDYMmhF/vGtBz9knchRB6FGF/WUr5ZnRzrRDCHX3dDdRFt1cA6T12TwOO7HKgonIG0rWQKRzNcdfaVXFXOT4GPQTCA1sQoC/ZMgL4C7BLSvlUj5feBm6KPr4J+FeP7VcLIYxCiGwgH/i8/4asonL60KemEm5o6HbNHO6WUVHpjay5BaTPGXH8N/YjfbmUzAJuALYJIbZEtz0C/BR4TQhxG1AOXAkgpdwhhHgN2ImSaXOPlDLc3wNXUTkddKVDdm6NNsZWxV2lD0y7dsKAn/O44i6l/ITe/egAvfZOk1I+CTz5FcalojIo6Rb3LV8CqrirDF7UFaoqKidAt7h/qYi7NinpdA5HReWoqOKuonICdOW6h+rq0MbFoTEMbHqbikpfUcVdReUE6Mp1Bw4pPaCiMthQxV1F5QQxRF0zOru6PkNl8KKKu4rKCaJLUWrM6FR/u8ogRhV3FZUT5KDlrrplVAYvqrirqJwgXRkzaukBlcGMKu4qKidIl7hrk1RxVxm8qOKuonKCmMeMIfG2W7HNn3e6h6KiclQGtpKNisoQQBgMuB588HQPQ0XlmKiWu4qKisoQRBV3FRUVlSGIKu4qKioqQxBV3FVUVFSGIKq4q6ioqAxBVHFXUVFRGYKo4q6ioqIyBFHFXUVFRWUIIqSUp3sMCCHqgbI+vNUONJzi4QwGzpZ5wtkz17NlnnD2zHUwzDNTStlr7elBIe59RQixQUo5+XSP41RztswTzp65ni3zhLNnroN9nqpbRkVFRWUIooq7ioqKyhDkTBP3P57uAQwQZ8s84eyZ69kyTzh75jqo53lG+dxVVFRUVPrGmWa5q6ioqKj0AVXcVVRUVIYgZ4S4CyEWCyF2CyFKhBDfO93j6U+EEM8LIeqEENt7bEsUQiwTQhRHfyeczjH2B0KIdCHESiHELiHEDiHEfdHtQ3GuJiHE50KIL6NzfSy6fcjNFUAIoRVCbBZC/Dv6fKjOc78QYpsQYosQYkN026Cd66AXdyGEFvgdcD4wErhGCDHy9I6qX/k/YPFh274HLJdS5gPLo8/PdELAt6WUI4DpwD3R/+NQnKsfKJRSjgPGA4uFENMZmnMFuA/Y1eP5UJ0nwAIp5fge+e2Ddq6DXtyBqUCJlHKflDIA/B24+DSPqd+QUq4Gmg7bfDHwQvTxC8AlAzmmU4GUslpKuSn6uB1FDFIZmnOVUkpP9Kk++iMZgnMVQqQBS4A/99g85OZ5DAbtXM8EcU8FDvR4XhHdNpRxSSmrQRFFwHmax9OvCCGygAnAeoboXKOuii1AHbBMSjlU5/ob4LtApMe2oThPUC7QHwohNgoh7oxuG7RzPRMaZItetqn5m2coQggb8A/gfillmxC9/XvPfKSUYWC8ECIe+KcQYvRpHlK/I4RYCtRJKTcKIeaf5uEMBLOklFVCCCewTAhRdLoHdCzOBMu9Akjv8TwNqDpNYxkoaoUQboDo77rTPJ5+QQihRxH2l6WUb0Y3D8m5diGlbAE+RomrDLW5zgIuEkLsR3GXFgoh/srQmycAUsqq6O864J8oLuNBO9czQdy/APKFENlCCANwNfD2aR7TqeZt4Kbo45uAf53GsfQLQjHR/wLsklI+1eOloThXR9RiRwhhBhYBRQyxuUopH5ZSpkkps1C+lyuklNczxOYJIISwCiFiuh4D5wLbGcRzPSNWqAohLkDx7WmB56WUT57eEfUfQohXgPko5UNrgf8G3gJeAzKAcuBKKeXhQdczCiHEbGANsI2D/tlHUPzuQ22uY1GCa1oUA+o1KeXjQogkhthcu4i6Zb4jpVw6FOcphMhBsdZBcWf/TUr55GCe6xkh7ioqKioqJ8aZ4JZRUVFRUTlBVHFXUVFRGYKo4q6ioqIyBFHFXUVFRWUIooq7ioqKyhBEFXcVla+AEOJjIcSgbZKscvaiiruKiorKEEQVd5WzCiHEd4UQ90Yf/1oIsSL6eKEQ4q9CiHOFEJ8KITYJIV6P1sJBCDFJCLEqWjTqg64l5z2OqxFCvCCEeGLgZ6WiciSquKucbawG5kQfTwZs0Zo3s1FWz/4AWCSlnAhsAP4r+vpvgSuklJOA54Geq6R1wMvAHinlDwZmGioqx+ZMqAqpotKfbAQmReuE+IFNKCI/B6VOyEhgbbRapQH4FBgOjEapBAhKWYHqHsf8fyglBoZMWQyVMx9V3FXOKqSUwWgVw1uAdcBWYAGQC5Si1F6/puc+QogxwA4p5YyjHHYdsEAI8Ssppe+UDV5F5QRQ3TIqZyOrge9Ef68B7gK2AJ8Bs4QQeQBCCIsQYhiwG3AIIWZEt+uFEKN6HO8vwLvA60II1WBSGRSo4q5yNrIGcAOfSilrAR+wRkpZD9wMvCKE2Ioi9gXR9o5XAD8TQnyJciGY2fOA0TLGm4CXhBDq90rltKNWhVRRUVEZgqgWhoqKisoQRBV3FRUVlSGIKu4qKioqQxBV3FVUVFSGIKq4q6ioqAxBVHFXUVFRGYKo4q6ioqIyBPn/DpjkCHU/HuIAAAAASUVORK5CYII=\n",
- "text/plain": [
- "<Figure size 432x288 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "deaths_i.plot()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 97,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "83207.6000000001"
- ]
- },
- "execution_count": 97,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "deaths[2020].sum() - deaths.prev_mean.sum()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 98,
- "metadata": {},
- "outputs": [],
- "source": [
- "def _closeline(line):\n",
- " x, y = line.get_data()\n",
- " x = np.concatenate((x, [x[0]]))\n",
- " y = np.concatenate((y, [y[0]]))\n",
- " line.set_data(x, y)\n",
- "\n",
- "def _closeline_connect(lines):\n",
- " for line0, line1 in zip(lines, lines[1:]):\n",
- " x0, y0 = line0.get_data()\n",
- " x1, y1 = line1.get_data()\n",
- "\n",
- " x0 = np.concatenate((x0, [x1[0]]))\n",
- " y0 = np.concatenate((y0, [y1[0]]))\n",
- " line0.set_data(x0, y0) "
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 99,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# Radar plot code taken from example at https://stackoverflow.com/questions/42878485/getting-matplotlib-radar-plot-with-pandas#\n",
- "\n",
- "def create_and_save_radar_plot(dataset, title_string, filename_suffix):\n",
- "\n",
- " fig = plt.figure(figsize=(10, 10))\n",
- " ax = fig.add_subplot(111, projection=\"polar\")\n",
- "\n",
- " theta = np.roll(\n",
- " np.flip(\n",
- " np.arange(len(dataset))/float(len(dataset))*2.*np.pi),\n",
- " 14)\n",
- " l15, = ax.plot(theta, dataset[2015], color=\"#e47d7d\", label=\"2015\") # 0\n",
- " l16, = ax.plot(theta, dataset[2016], color=\"#afc169\", label=\"2016\") # 72 , d0e47d\n",
- " l17, = ax.plot(theta, dataset[2017], color=\"#7de4a6\", label=\"2017\") # 144\n",
- " l18, = ax.plot(theta, dataset[2018], color=\"#7da6e4\", label=\"2018\") # 216\n",
- " l19, = ax.plot(theta, dataset[2019], color=\"#d07de4\", label=\"2019\") # 288\n",
- "\n",
- " lmean, = ax.plot(theta, dataset['prev_mean'], color=\"black\", linestyle='dashed', label=\"mean, 15–19\")\n",
- "\n",
- " l20, = ax.plot(theta, dataset[2020], color=\"#bb0000\", label=\"2020\")\n",
- " l21, = ax.plot(theta, dataset[2021], color=\"#ff0000\", label=\"2021\")\n",
- "\n",
- " # deaths_headlines.total_2019.plot(ax=ax)\n",
- "\n",
- " _closeline(lmean)\n",
- " _closeline_connect([l15, l16, l17, l18, l19, l20, l21])\n",
- "\n",
- " ax.set_xticks(theta)\n",
- " ax.set_xticklabels(dataset.index)\n",
- " plt.legend()\n",
- " plt.title(f\"Deaths by week over years, {title_string}\")\n",
- " plt.savefig(f'deaths-radar-2021{filename_suffix}.png')\n",
- " plt.show()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 100,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 720x720 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "create_and_save_radar_plot(deaths, 'all UK', '')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 101,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": [
- "# # Radar plot code taken from example at https://stackoverflow.com/questions/42878485/getting-matplotlib-radar-plot-with-pandas#\n",
- "\n",
- "# dhna = deaths# .dropna()\n",
- "\n",
- "# fig = plt.figure(figsize=(10, 10))\n",
- "# ax = fig.add_subplot(111, projection=\"polar\")\n",
- "\n",
- "# theta = np.roll(\n",
- "# np.flip(\n",
- "# np.arange(len(dhna))/float(len(dhna))*2.*np.pi),\n",
- "# 14)\n",
- "# # l15, = ax.plot(theta, deaths_headlines['total_2015'], color=\"#b56363\", label=\"2015\") # 0\n",
- "# # l16, = ax.plot(theta, deaths_headlines['total_2016'], color=\"#a4b563\", label=\"2016\") # 72\n",
- "# # l17, = ax.plot(theta, deaths_headlines['total_2017'], color=\"#63b584\", label=\"2017\") # 144\n",
- "# # l18, = ax.plot(theta, deaths_headlines['total_2018'], color=\"#6384b5\", label=\"2018\") # 216\n",
- "# # l19, = ax.plot(theta, deaths_headlines['total_2019'], color=\"#a4635b\", label=\"2019\") # 288\n",
- "# l15, = ax.plot(theta, dhna[2015], color=\"#e47d7d\", label=\"2015\") # 0\n",
- "# l16, = ax.plot(theta, dhna[2016], color=\"#afc169\", label=\"2016\") # 72 , d0e47d\n",
- "# l17, = ax.plot(theta, dhna[2017], color=\"#7de4a6\", label=\"2017\") # 144\n",
- "# l18, = ax.plot(theta, dhna[2018], color=\"#7da6e4\", label=\"2018\") # 216\n",
- "# l19, = ax.plot(theta, dhna[2019], color=\"#d07de4\", label=\"2019\") # 288\n",
- "\n",
- "# lmean, = ax.plot(theta, dhna['prev_mean'], color=\"black\", linestyle='dashed', label=\"mean, 15–19\")\n",
- "\n",
- "# l20, = ax.plot(theta, dhna[2020], color=\"#bb0000\", label=\"2020\")\n",
- "# l21, = ax.plot(theta, dhna[2021], color=\"#ff0000\", label=\"2021\")\n",
- "\n",
- "# # deaths_headlines.total_2019.plot(ax=ax)\n",
- "\n",
- "# _closeline(lmean)\n",
- "# _closeline_connect([l15, l16, l17, l18, l19, l20, l21])\n",
- "\n",
- "# ax.set_xticks(theta)\n",
- "# ax.set_xticklabels(dhna.index)\n",
- "# plt.legend()\n",
- "# plt.title(\"Deaths by week over years, all UK\")\n",
- "# plt.savefig('deaths-radar-2021.png')\n",
- "# plt.show()"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "Collapsed": "false"
- },
- "source": [
- "# Plots for UK nations"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 102,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 720x720 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "create_and_save_radar_plot(deaths_e, 'England', '-england')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 103,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 720x720 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "create_and_save_radar_plot(deaths_w, 'Wales', '-wales')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 104,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 720x720 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "create_and_save_radar_plot(deaths_s, 'Scotland', '-scotland')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 105,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- "<Figure size 720x720 with 1 Axes>"
- ]
- },
- "metadata": {
- "needs_background": "light"
- },
- "output_type": "display_data"
- }
- ],
- "source": [
- "create_and_save_radar_plot(deaths_i, 'Northern Ireland', '-northern-ireland')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "Collapsed": "false"
- },
- "outputs": [],
- "source": []
- }
- ],
- "metadata": {
- "jupytext": {
- "formats": "ipynb,md"
- },
- "kernelspec": {
- "display_name": "Python 3",
- "language": "python",
- "name": "python3"
- },
- "language_info": {
- "codemirror_mode": {
- "name": "ipython",
- "version": 3
- },
- "file_extension": ".py",
- "mimetype": "text/x-python",
- "name": "python",
- "nbconvert_exporter": "python",
- "pygments_lexer": "ipython3",
- "version": "3.8.5"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
projects / covid19.git / commitdiff