+++ /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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9H/zgB/nJT34SdZ7x2LlzJ9/85jf58pe/DNClbPvdd98dOq7784n1bJUhhFuSw9UkQkIiasWf+LQ3wdsPQDDQN3NLFmtFkxhzDDQfgX/dAoc3w8KPw8zTofJd6V8dC1eTKJgY+xhGoiYxyLjvvvv4whe+wM0330xHRweXXHIJxx13HJmZmUyePJkTTjgBEM3i/vvvZ8GCBXGvd+ONN/K1r32NBQsWEAwGmTVrFv/4xz/44x//yP333096ejoTJkzg5ptvprCwkKVLl7JgwQLOO+885syZw49//GPS09ND5chdVq5cid/vp6Ojgx/+8IehaKqsrCze//73M27cOHxxYq1BzG0XXXQRCxYsYM6cORx//PFd9jc3N7N8+XKMMdx///0xr1NXV8eHP/xh2traCAaD/PjHP455rMu2bdtYvHgxLS0tFBQU8PWvfz0U2XTdddfxmc98hh/84AecfvrpoXPOOOMMbrvtNhYvXsy3vvWtmM9WGUK4ZcKzo2gSyfLWH2HNN6C5Ck78Yt/MLxna6iVjfOHHYcPv4IUfgS8Njv1Q2N+w8zk47pLo5zcdFo0qPYFPzVo7rH6WLFliu7Nly5YeY0rfEAgE7IIFC+yOHTsGeiqDBv17G8RsecTaGwusPfCWfA4Grf3eWGsf/4/kr/XnK+RaN4+ztnpXcudW7bD2tjnWVr6X/H1dDm+T+7/9gLUv/ER+v+9jsi8QsPbWGdb+9erY5z94ubW3Hx/6CKy3UdZUNTcpKbNx40ZmzpzJ6tWrmTFjxkBPR1ES090nYQzkjUne3GQt7FkHU08G44NHvpZcGO2+18SfsOtf0fe/90TYCR0LV/vJGwuLPymRWsuvkjGfD2acKppErHk1HYGckoRTVXOTkjILFiwIddRTlCFBd58EyCKbrLmpdi80HICV14p5Z8034O0/waJPeDu/ysl1qtjcc19LLfztaqlUu+Cjsa/hzjl/HOSWwpc3dN0/4zTY9FfJA4nmlG+ulrDZBKgmoSjKyKGlFjCQWRAeS0WT2PuKbKecCEuvlGKB7/zJ+/mukDi0qee+l28XjafxkBPiGgPXKe36Vbozw/GvbVsTfX/zEU9hvyNGSNihmlGpDCn072yQ01oHWQVdC9qloknsfRkyR8kbus8HExZLbwqvVDk5ORWbu/azaKiQDOpiJ8z60Duxr9F4CPyZXbWiSAonS1vS9b+DQGfXfdaKwz03cTmfESEksrKyqKqq0v/AylHFWktVVZVmYA9mWmvD/giX/HHQUg2d7d6vs/cVmLICfH75XDpbzE9tDfHPA1mgq3aIkOlogtrd4X3P3waBdvio01HhYM8cqhANFZA/VvwqsVjxOan0+t5jXcdb6yDYCTmJhcSI8ElMmjSJ8vJytP+1crTJyspi0qT4Gawjnn2vS1/lmWf0/71b63q+eeeNkW3T4YTZx4DY8iu3wsKPhcdKnbLjR96DiUvin99YIcLhuE/A2/eLyal4huQtbPgdHP8pmLBIxg4m0CTyxsW/15xzJVnu1f+DeRFFOZud0jnquBbS09OZPn36QE9DURSAx6+Hjmb44rr+v3dLbThHwiUyV8KLkIj0R7iEelN4EBKuP+J9H4R3HoCKTXDMBbDpb/J2f9JXZP+4hXAgTsJmQ4UUKIyHPw2WXQlPfxcqtsDYY2TcFRJqblIUZVDR0QIH35a38YEgnibh1Xm9d510c5sQkQxaNF3qJR3x0JvC9UeMmy9hq26E05Z/wPhFUOy80I4/Dmr3SPHBaDRWJNYkAI6/XCKlXvtVeKzpiGzVca0oyqDiwJsQ7BAfwED4CKP5JJLNut67TgREZKayPw1KZnpzXleViZAZNRnGHitVqWv3wf71cMyF4ePGOwU2o1Wt7miV7xIrsimSnGIJ09301/AzD5mbVJNQFGUwse9V2QbaxeTU30TTJHIdTSJeuKlLezMceAumnNBzX+lsb5pE9U5H8/DD2PmiLbz1R9kXTUgcfLvnNUI5Eh6EBIjpqq0+rME1u5pEYp+ECglFGe4EOuCf10JZ/FLt/cLeV8O/xzKjHC06HcHU3SeRlgHZxd40iQNviCY09aSe+0rnQvWuxFFSVWViZgLpRQOw7hcwdoFoIy65pVJ8L5rzOpRt7cHcBOGeEXV7ZdtcJSaojNyEp6qQUJThzpP/Cet/C+8OcCc9a0WTyHbs4P3tlwhlWxf23Oc1V2LPOsDA5OU9942eCzYgmkIsggERJCVOGZuxx8q2ra6rFuEybmF0TcJNpPOqSbjlwN3y4E1VokV4KM+vQkJRhjNv3Q+vOu0tW+sHdi5VO8QXMdtphNPfmkT3uk2ReM263rtOSnNnF/Xc5/bNjmdyqiuHQFtYkyiYGJ5PNCEx/jio2i5lySNJWpOY4tzfERLNVZ5MTaBCQlGGL4c2wiNflazbsQu8JXodTfY5oaNzVsm234VElLpNLnljww18YhEMSGG+aP4IEJ8ExHdeVzuRTW5GtTESMjt2fvRw1vELpZNe9/IdjRVSWNBDCCsgQi0jL6xJNB/xfK4KCUUZrrx1vyxCF98NOUXiuBxI9r0qb82TV8jn/hYS3XtJRJI/VjSJeBFXFZskCTAyPyKSjFwx68TTJNzw15KI9sEfuhMujVHx1TVHdb9mwyHIHR3O+E6EMTK32gifhGoSijLCKX9d4u5zS6Wg3UCbm/a9JgLCjc1v6W+fhGtuiqFJdLbGF6RuEt3UGEICxORUmUBIpOeGe2uDmLoKxkc/vmCS5F9093M0VngLf42kcHLYcd1U5Sn8FVRIKMrwpLNdHJ6TlsrnrFEDa25yS1lMXg7p2ZCWPch8Eh7amO5dJ2/j8bKyR8+FI9thz8vSY+LFn4bbm3a0yDVKZnhyGAOSf1E4paeQaDjUVdB4YdRkMTd1tolG5FGTGBFlORRlxFGxURykrpDIzB9Yc5NbXmLSMtlmF/W/kGhyEsiiahJu1nVF2LcQidtkaHr8HvOUzpGWor87V0JMO1tFYKz6b3joahHc5/8suXkXz5CIqEgaK8J5FF4pnCKCsmaPfM5VIaEoI5dypwGNuyhnFogmEQx2LZPdX7hhnOMXyja7CJr7WUiUvya5DNF6OruaRMMhiUA68KbUVnLf+Gt2i2M7lj/CZe65sOcl6eVw7EVSwO+x6+B/l0B6Dnz8DzDvg8nNu3iGmLqslfkEA9BUmZq5CcICWzUJRRnBlL8u4ZEFE+VzVgFgob3R+b2fOfSOvMm6oaM5xf2rSQQ6ZKE97pLo+90Fd8PdEhHW3ijO5Nlny/h7j8s2kZDIHwcf+U3487LPSsjsSz+D026Q6q7JUjxdzENu/4emSol4Strc5ITBuuXH1SehKCOY8tfF1OS+CWfmyzYVk9PWR8NO21Q5+I4khrlkF/avkDjwliz802KYi7KLpJ7S7hfEuV44BdZ+T97eW+ukz8PUU6K3AU3E1JPg3x5ITUCAaBIQ9ku4jvGiJCtbqyahKAogtveaXbDk0+Ext11nss7rznZ46PPypv2l1707XCNpa5D8gMi3+P72Sex+XrbTTom+3xhY/T/i1J7/ETET/f0LkqW+f4O8xa+6ObXv31sihcTk5VIaBKQbXjLkjpFOdq7pz2OehAoJRRlu7F8vW9dpDWETU7JhsHteFO2jrd5JJFuR/HzcRLAumkRxuBJsfyy8u18Us0+8hXHZZ8O/L/w4vPgTeOo7UH8AFl6S/KLcVxROAUzYeb3/DSic6tnxHMLnk8is6h1yvWhZ49FOS+4uiqIMespfl2zcyEUtpEkkKSS2PSbhqum58ObvU5uP26d5fKSQKOq/SrCd7WIui6VFRMPnh9P/QzQyY+DM/zx680tEWqaEr7rmpgNvwsTj458TC9fklF3kORFPhYSiDDfK10umbmSFz1SEhLUiJGaeAfM/BJsfgrbG5Odz8B1xkuZHJIy5b7G9MTnV7hWHdCIOvCHCKJY/IhbzLhTT06rve+tYdzQpni5CorFS6i9NSFFIuIX+vJbzQIWEogwvgkGxoU9c2nU8FXPToY2yIM09FxZfJo7fLX9Pfk6H3hYtItKs5AqJVCvBVmyGny2CN+5JfOzuF2SbjCYBYp756F1dzVADRfF00Wpcf0TKmsRU2Xp0WoMKCUUZnBx+19tbcneqtou24OZHuKQS3bTtMcBIQb7JK6BkNrz5h+Tm09kOh7eG+ya4hEpzpKhJrP2+lOV280HisesFKaDnoVXnoKV4hjjPdz4HmOQT6Vxcc5MKCUUZwjRWwp2nwKv/l/y55a/LtruQyMgTP0Uy0U3b1sh18saIFrD4k1JWws3Y9ULlu9KkJ9JpDb0zN5Wvh22PgvFHb+0ZibXicJ96cvL3GUy4EU6bH5LSH67QT5ZRKiQUZehz6B0IdsKOZ5I/t/x1yBzVtcooyCKfme/d3FS3X5Ku5p4bHnMX2sqt3ufjdlXr/ubbGyGx9nuyyC39jMwlXie4jmYpkzFqYvL3GUy4ORENB1P3R0BYk+hLn4Qx5i5jzGFjzKaIse8aY/YbY95yfj4Qse8GY0yZMWabMWZVxPhqZ6zMGHN9xPh0Y8yrxpjtxpgHjDEZznim87nM2T/N87dSlKHM4S2y3bNOirElQ/kGmLQkeumNzALv5qY9L8vWzTgGKJom25rd3udz6B2JjCqe2XU8JCSS9Ensel5MLiu/Ln0dgh3xS3O7zXo8tOkc1BRHJM6l6o8AycCfvQqmn+r5FC+axN3A6ijjP7HWLnJ+1gAYY44BLgGOdc75pTHGb4zxA78AzgWOAT7hHAtwq3Ot2UANcKUzfiVQY62dBfzEOU5Rhj8Vm2Xb2SKmFa+0NcLhzT1NTS5u/SYv1O+XrSsYQN4+03OTExIVW2DsMT2FViqVYIMBePLbstAtvTJswopncnK/b0aK5pnBQkZuuHRIbzQJnx8ufRBm9KGQsNY+D3gV9xcCf7LWtllrdwFlwHLnp8xau9Na2w78CbjQGGOAMwC348Y9wEUR13JDF/4CnOkcryjDm4pNstAbn7w5e+XAm1LTp3tkk0tmfrg7WyIaK8SPEWn7NkaERjJComZ3Ty3CJdms6zd/L9nCZ98kRfpKZoqgiSckhosmAeKX8KXDuPn9etve+CS+ZIx5xzFHual7E4F9EceUO2OxxkuAWmttZ7fxLtdy9tc5x/fAGHO1MWa9MWZ9ZWVlL76SMmI5vBUeuEyiigaSQIfU5pl6kjQM2vUv7+dGy7SOJCsJTaLhYPQqo8kIic420UgitZFIsovC3eIS0VIDz9wkBfbmf0TGfH7RUkaKkJj7AckET8vs19umKiTuAGYCi4CDwI+c8Whv+jaF8XjX6jlo7a+stUuttUtHjx4db96K0pPONvjLZ+Ddh+G350DZ0wM3l6odkok8dj5Mf784ot2FLhHl6+WtPVaoZzI+iYaKrslvLq6QiNfm06V2H2BjC4mcYu95Es/dIoLi3B90zbcYt0CERKz5hIREnrf7DGZO/gpc9It+v21KQsJaW2GtDVhrg8CvEXMSiCYwOeLQScCBOONHgEJjTFq38S7XcvaPwrvZS1G8s/ZmseV/8KdQNBXuuxg2xug5fLSpcOJDxhwjQiLYKQ7sRFgbrvwai2SimxoPSd/n7hRNk4ihJg8au6txxNQkPFaCPbIdXvs1HH9519IeIEKitVZ6QESj3ckQHw6axACRkpAwxkS+YnwIcCOfHgYucSKTpgOzgdeA14HZTiRTBuLcfthaa4FngY86518O/CPiWpc7v38UWOscryh9x+4X4eWfS8XUpVfAFY9L+OiGuwdmPhWbwZcmHc6mnCg2aC8mp7py8SPEclqDd3OTtdJ8Jy9Kv4JkIpxqdnU9pztefRJrvydd3k7/Vs99Y50kvYpNPffB8DI3DRBeQmDvB9YBc40x5caYK4EfGGM2GmPeAU4H/h3AWrsZeBDYAjwOXONoHJ3Al4AngHeBB51jAa4DrjXGlCE+h986478FSpzxa4FQ2KyidMFa8SW8+FN46kYpTeGVx28Q7eGc78vnzDx5i284dHTmmoiKzdI9LS0DMnKkNLQXIRFKoounSRRIS9NEYbVtDaItRGtqk5SQ2C2Le6zmONlF4UqwsTjwJmz5B5x4DeRFMSWPPQYwsbZeV8QAACAASURBVP0SriaRavKZkrhUuLX2E1GGfxtlzD3++8D3o4yvAdZEGd9J2FwVOd4KXJxofsoIJRiAHc9Kx7D3noC6veF9Sz8jC38iWutlcTntehEOLvnjoSyFRLa+oGKzOK1dJi2Fdb9M3Ha0citgYMyxsY/JjKjfFG3BdWmskG20xb3Q6W7mVUgUTYtdCjy7OFwJNtab/jM3yXEnfSn6/sx8ifpxK812R81NvUYzrpWhyWu/hvs+IrWExh4r/oTzb5d97iKXiANvArZnyGj+WGkXmUrF097QUgv15c7bsTuX8ZIwlsgs01Ij5qS0jNjHZHmsBNtwULbRopvSsyB/QnJCIhaJsq53vQA71sLKayFrVOzruM7raLQ3ifnOH+e5KHHRpkPK0GT/elmsvvKGJGZBuOOWV1ORGzLaPYPVjepprOiqYRxt3EzrsRFx8O5C3XgofpOZllrpqhYPr+XCG1xNIkp0E3gLg7VWjolXeTVSSEQrxf32/XJMoiqsJbOkg1ww0LNHQnuTaBGaYpUyqkkoQ5NDG6UekCsgIOxo9apJlG+IHjLqLsz97ZdwM63HRpiMXJNPorm01ibuNOba5RNFOLmaRLToJvAmJJqrxNQTT5Nwn3usMNjmKhEekf/G0cgbIxVho12nvXF4hL8OICoklKFHRwscea9n5mluqWQpexES1oomEc3R675Bu4tlf3HgLVnoI9/gQ5pEgu/UUiMhpfEImZsSRDg1Vkgms6t5dKdomrT07GiNfY1E4a8QrkQaK5zWi3YEkOv4V5oO99zX1qj+iF6iQkIZehx+V8pPdO9R4PPLguFFA3BDRqOVsMj3uDD3JdbCzmele1qkacSrJtGn5qZDct9YJpqiaYCVznCx8CIk3LLVsbSS1rr4vgiXvDGybYwiJNqbVJPoJSoklKGH66TsLiRA3ry9LO77nWY1k5b03JdVKKGb/alJVG6TEhazzuw6npErxekSfSdP5iaP3elcIRELL2Gwbo5EYZwos8w8+fdyj+1Oa21i7Qgg1xES0TQS1yehpIwKCWXocWijLJyF03ruyx/nTZPYvx78meFkrEiMkcWroR81iR1rZTvzzJ778hMIPmtFk0i0oIa60yUyNx2KHtnk4klI7BYfUUZO/HsVTYfqGNfxam5yw3mjahLqk+gtKiSUoUfFJnHuRssb8KpJlG+QEg+xQkbzx6emSfz9i/Cbs8Rmnww7npEs68LJPffljYsvsNqbJEw20YKaliEaUluCSrCx6jaF5jNGfBZxhcSe+KYmF7d3c3c626RUuhchkVUoIa7RfBKqSfQaFRLK0CIYhEObopuaQDSJpkoJh4xFoFO6rk2MYmoKXWds8tFNWx+Ft+6TQnu/OSscrZSIjlbY/RLMPCP6/rwx8nYfi1ankqoX00yinhJtjZIjEiuyCcIlw2vjtDFNlCPhUjRdzGwdLV3H3ZLmXr6TMeKLaoxmblLHdW9RIaEMLWp3yyIWS0jkjRWndtOR2Nc4vEWyfGP1XQB5k07Gcd3WAGu+KTkOV62VOdy1Go6UJT5378vy1hzN1ASOCS3OXNxy24l8EiARTvF8Eu53jla3KZK8MdHNOyDtROvKPWoSTu/m7n2z3e/kRZMAERIxNQk1N/UGFRLK0CLktI7ReCUy+SwWbs+I7n2Xu1+nrd57me61N4uJ6fyfSXLe5f+U872UHd+xVswl006OPZeOptgaQGsSC2pmfvzoJld7iue4Bgk3bo4hiGv3ErdEeCRuW87uJqdkNAmILrSCQfn368+EyGGICgllaHFok+RCjDkm+v5QyGicN293cXNDJ6Nex82V8GByOlIGr/1KMoPdvIuSmfJmX+mhiVHZWunXHMsskug7uWUt+sLcFEqkSyAkckok2S0a9U7Z7mj+le4UOUKiuruQcAWfhxBYkAin7tFNnS2AVXNTL1EhoQwtDm0UB2+sLFwvmkRzFRh//AUoP4ms663/FPPSymvDY8aIIEvU6a6pSnpZxPJHQOLvlIxpxrO5KY5PAiCnVN72Ax0997nCI6c08XxyikVwVe/sOp6suSlvtOOLiqgArGXC+wQVEsrQ4tDGrrWNuhMqqRFPk6iSxSlePZ9Q/SYPQmL7UxJKWzCh6/iYeU7iX5xS2HVOV9+S2XHmkiChrjUJn0Si7nQNByU0ONG1QiU1omgTbnmMWB3yIgn1zY6hSXg1N+WOkQZN7nkQ1pjUJ9ErVEgoQ4fONjFllM6JfUx6lrx9xtUkqsMlIWLhtX5Tax3sXQdzzum5b8w8WZDr98c+37Wjx3tzD2kSMRzFLTWiGXnpmZDQ3FQhWlSigni5jpYQT0h4EVogzuvempuiZV2rJtEnqJBQhg7uAhAvPBMS50o0V0uPgnhkF8kbdSIhseNZKS43O4qQGD1Ptoe3xj7fFWbxvpM7l3jmpqxR3iqdut3pYjVmaozRka47rikpWhRZcxVkjgJ/euLrgDiva/d2DVtuqZVcjLRMb9dwhURTNCGhmkRvUCGhDB1Cb90JFrH8BNnSLdWJTSHGeMuV2P6UaC7RwmnHuEJiS+zzvfgAEmWAey1fAY62YSWMOBoNMXpbd8fVxKJFOLnmPK8UTZdkwMg+1a113r8ThEtzRNUkVEj0BhUSytDBfZOOF5UEIkQSOa69LGKJrhMMQtlTUm/JH6U1S06xXCOe87qhwqkVleCNOX9sfE3Cq2knO0F57qbK8IIbj5C5Kcp1WjyY8yJxw2Ajndettd5NTRChSUREOGlXuj5BhYQydPAaw+9qEtEcxtY6QsLDIpaoDtShd0QTiGZqchnzvsSaRKLvA/E1iZaaJKKA4vg3Ap1yrdw4rU1dXGETy9yUjCYRSqiL8Et4rdvkklUoHejUJ9HnqJBQhg6NhwGTeBHLGweBtq6RLi5tDRIF41lIxDFbbX9K5hMrUxokDLZyWxwfQEVizQgcP0uc6KZkks7c+3bHdULneghd9afJwhzV3FSTnCaRP0F8LpHO62TNTT5fz6zrkCah5qbeoEJCGTo0HpLFJ5FDNF4YrLsQJnJcgwiJtjpob46+f/cLUiQwL47QGjNPkrpqd0ff3+DRUZw/Tt7yO9t67kvmrTuag9fFXfC9LvC5pTGim6q8PV8Xnw+KpnbVJJI1N0HP+k1qbuoTVEgoQ4fGw95MM/GaBrW4MfweFsJQO9QYb/A1u+OH40I4MzyaX8Ja+U5eNQno+Z2CQW+9JFxySgET3dzkmo68mJvca3U3N3W0SgmRZMxN4JQMjzQ31SVnbgJ5jt2jm3xp3iOklKiokFCGDg0J+hy4xOt13ZyEkMhPYL+vK4fCKfGvMXqubKP5JdrqRcvwJPjc79RtLu0Nku3t1TTjT5PvHlVIOG/hXsxNEL00RzJCOJJiR0hYK4KvrT45cxOIw72LJuGUCfcSGqzERIWEMnRorPAmJOKV1AiVjPDwphsvEqjhgORHxOu8BhJyOmpK9FwJL4l0LrGS+5ItX+FeK5qQSKacBkBuFCGRzPONpHiGaCBNlU6/C5u8uSnP8Um4AQvacKhPUCGhDA2CQcfc5GFBzSyQRKy4moSHRcw9piWKkHD7OyfSJEAinCq39Rx3F3xPgi+G6SvZ8hXgVEyN8myajgDG+wKf4/gkIqPIktHUIoks9JeK4APRJALt4QqybdpLoi9QIaEMDVpqJOHKi5PXrQd0ZHvPfc1VUkU208Nbqmvnd6usRpKMkMgbEz0KyF2ovZibckfLvLs740MVYD36JNz5xHJc5xSDz+/tOjklPeslhTSJFMxNILkSyZYJd+meK6Fd6foEFRLK0MBrIp3L+OOk+1x33MibaK1Pu5NZII7PaOammj2AgVEeymFnFYYXvkhC2dYevpPP70Tv9IW5yem90D2PpKnSu6kJoifUJRM9FknhFMBIhFOydZtC8+nW61obDvUJKiSUoUEyb90AExbJOT1s+ElkAxsjb+ixzE0FE2L3yI4kq1A64XW2dx1vOCT5AckkwnXXJFIyN42Fztae1WCbqrw7rSF6/SZXs0nWJ5GWKQK3N+am7uG96pPoE1RIKEODBg81jiJxu84d6KZNNHuo2xRJdlFsc5MXUxOEF/Du2kTjYfk+XqNvoiXUpbKghuocdWvS03wkSSHhOvYjhERzlWhgXov7RVI8zdEkUjQ3da/fpOamPkGFhDI08NoMx2XcAsDAwbe7jnspEx5JdnF0c1MyQsI1m3TPAG/0WEzPJVrhwpYa8KUntxjGyrpO2dwUEeGUrBCOxM2VSNXclFMimkPVDvncro7rvkCFhDI0aKyQBcBrv+LMfCiZ1dMvkWxdoZzinppEoEP6WiQKf3UJCYkYmoRX8saJKSWypLZbkiOZXAD3npHO61DdpmQ0CUfYNnXTJJJ1WrsUTxetpHaf9MdI1lTk88HYY8N90NUn0SeokFCGBl4T6SKZsKirJuEW90vGqRrN3FS/XxLYPGsSrrmpmyaR7HfKHyf3jXxzT7YQHkRv0OP6XbxmW4O8padld9Mkkny+kbhhsAffSl7wuYydDxWbJGRazU19ggoJZWiQ7Fs3iF+ifn/Y9t7eKGG0SZmbinqam5IJf4WwJtESISQ622VhTkqTiJJQ11KTXPgryCJu/F3NTW7YaLJaQPf6TcmWCY/ErQZ7aGPypiaXcQvEIV+5FbDeNU8lJioklOQJBuCVOyVZqb9I1n4PMH6RbF2TUyrZwDnFUjqjoyU8lqyQiOa4dk09SfkkopQbSaYCrIvPFw6DDc3HrduUhLkJ5Pl0MTf1wifh5kp0tiavHbmMWyDbfa/IVjWJXqNCQkme8vXw+HWw+aG+u2b1zugVTl0aKrwl0kUyfqFsewiJJDUJ6GpyqtkjiW2jJnm7RjTHdbLRWpHHdtEkUjA3gZNzESEkQhVgkxUSpeFzO9tEW0tVSGTmh++frOBzGTMPMLDXFRKqSfQWFRJK8tTslm1lnN7NybD3Vfj5Enj5513HGypEa2lvkkJ2XhPpXLJGiQnDDYNtdmP4k4xugq4mp9q9UDDRe5hnerbkQ0RqEslGa0UeGxkGm4om4V6ri7nJ7SWRhE8CupqbUi3JEYmrTaRqbsrIlYCFvevCn5VeoUJCSR5XSMTruOaVtkZ46GpxyG57LDzeWgc/Px4e/kryiXSRjF8EB9+R31PJBg7Vb4rQJJIJf3XJGtVNSHjsshdJepZoDa4W0tkOrfWpOYrzxnZt9dlUSVJ1m1xySsICJtVs60hcv0Sq5iaAcfPDJkEVEr1GhYSSPCEh0QeaxBP/Ieab2efA/g1h+/a2x8V08dYfYP1dMpas4xrEeV23F+oPRpSxTjK6CbpmXacqJCId11677HUnMqHuyHuAhdLZyV0DpGJqZGmO5iPyXb3WbXLJKZHqrR0tqZcJj8SNcErV3ARhvwSouakPSCgkjDF3GWMOG2M2RYwVG2OeMsZsd7ZFzrgxxtxujCkzxrxjjDk+4pzLneO3G2MujxhfYozZ6JxzuzES9xbrHsogoHaPbBsOdF34kmX7U/DGPXDyV+H0/wAslD0t+7b8XUw64xaGzVCpCIl55wMGXvtVuLhfMm+p3c1Nne0SMeU1RyJ0nW71mxoOibBKNjM5MqHObWTkNjZKhryxEunlakhNR5IXWNA1oS7VMuGRhMxNvRASY1VI9CVeNIm7gdXdxq4HnrHWzgaecT4DnAvMdn6uBu4AWfCBG4EVwHLgxohF/w7nWPe81QnuoQw0NbvDb4vRSmB7ZfNDcp3TvwXjjpOyCtufFBNK2TNwzIXw4V+JPR9SMzeVzJTrvP4bmXd2kbfifi7dzU315YBN0dwUqUlUQP745K4B4rx3zW+HN0u2dcmsFK7TLVeiKcmSHC7u30Fded/4JIp66ZOAbpqEmpt6S8L/Ldba54HudQkuBO5xfr8HuChi/F4rvAIUGmPGA6uAp6y11dbaGuApYLWzr8Bau85aa4F7u10r2j2UgaSjFeoPwOxV8rkySltOr7jtP9MyZOGefY4Ih62PQqBNFvcx82D1/8CE41O3dZ/yNYmdd4VSMqRnQ1pW2JTimtqSFhLdNYmDqQm9fMfhbC1UbBFTk5cig93J7Vaao/lIaov7lBOlVtPzt/WNT2L8Qjj2QzD9/alfI39c+LuoJtFrUvVJjLXWHgRwtm7YyURgX8Rx5c5YvPHyKOPx7qEMJHX7ACv/idNzeueXqN4lfR9cZp8tb9vP/re8ZU9aLuPLroSrn01OA4hkwmKYcZr0PkhlAcsuDkdGHSmTbbJ+gO4+iVRCekHO6WwVgXN4S2qmJogozeE4r1PVJHJL4dTrxEy46a+QkZ+a0HJJz4aL7xYNMFWMCWsTqkn0mr52XEfLo7cpjCd3U2OuNsasN8asr6ysTHyCkjrum3TxDOnfnGqEU0er+DRc8wLAzNMlE7huL8y7IHWhEI1T/l22qbwtR9ZvqtouC2Gy/hHXJ2GthPU2VqSoSTjnVJWJwB6bqpCI0CQCnaIppeKTAFjxOSidKyHRvfFH9CUTlzgdCjMHeiZDnlT/F1Y4piKcrZuVUw5EdmGZBBxIMD4pyni8e/TAWvsra+1Sa+3S0aNT/ENXvOEKiaJpMHpe6rkSrvM7UpPIGiXmC4Bj+9i6OP1UMWPMOC35cyN7ShzZDqWzkq8rlDVKemK3N8lbuw2kJiRc4bTjWdmOOTb5a7jz8WeIAz0UlZSCJgHifD/3Fucag0RIrPw6XPVsavWflC6kKiQeBtwIpcuBf0SMf8qJcjoBqHNMRU8A5xhjihyH9TnAE86+BmPMCU5U06e6XSvaPZSBpGa3FHXLGyO9mxsropfS9nIdCEezuCy9QhbyySt6N8/uGCNmjBVXJ39uZP2mI9uhJIWQ08is64aD8nsqjmtXsOxYK9tUNQnXJPPm78OJZ7m9cDjPPAOWXRX2VQ00GbkizJVek5boAGPM/cBpQKkxphyJUroFeNAYcyWwF7jYOXwN8AGgDGgGrgCw1lYbY74HvO4cd5O11l1ZvoBEUGUDjzk/xLmHMpDU7IaiqbLIuPbwyq0w9aTkrlO9S7aRmgTAgo/Kz2DCNTe1N0l0Uyp5CaFKsHW9Sw50NYny18Sc4qV9aiw+8hv4zdnwN0dwpmpucjnvh707XxmUJBQS1tpPxNh1ZpRjLXBNjOvcBdwVZXw9MD/KeFW0eyh9hLWw5yXxLRRM8H5ezZ7wwj76fbI9/G7yQqJmN6Tn9n5h6g9cc5PbzCaVkNPISrAhTSIFIZGZLwEDHc0S+dUbc0rxDPi3B+Hu8+RzquYmZVijGdcjlXcflsXhx/Pgx8fAq/+X+BxrHU1imnweNUmcuKn4JWp2ialpKNiMs4slMurAm/K5dE4K14jQJNwCfakkBxoTdjqnGtkUyaQl8LF7JVqtu+lPUVAhMXJ595+y+K2+Vd5OX/7fxOc0V0uhPVdIGCMRTlsehvsuhnsuCIeIJiJS2Ax2XGfsvtcAk1p4ZmR3uoaDokGl0gcawqGzfSEkAOacA5c/IuGnitINFRIjkUCnZDbPWQ0nfB6WXCFhp3Xl8c+LjGxymf8RyMiR2ki7/gW7n098/+4ayWDHrd+071XxAaSymEZ2p0s1R8LF7UGRqtNaUZJAhcRIZN8rsljNdSqgTDlBtnvWxT+vdrdsIxf3E78IX3kTrnpGPjdVdT+rJw2HJCFsyAgJR5Oo2p56xExmgWxdTSIVf4RLX2sSihIHFRIjkW2PSYz8zDPk87gF4lvY+3L880IlKaIUt0vLlGs0H+m5L9Z1hooNPDL2P5XwVwB/mjyflloRkr0REsddIvWuBktOgjKsSRjdpAwzrIVta8RRmZkvYz4/TF4e7uYVSVMV/PlyMbHU7JaaPxk50a+dW9K1lWUsatzw1yEiJCJ7SKcS/hq6TqFESTUd7p2QmHi8/ChKP6CaxEjjyHZpFTqnW2HfqSdKiY3uiXF7XoTdL4iAaDoCs+JEJedEdCmLR81up/1nL2L8+5NIIZFK+KtL1igpp2GDvRMSitKPqCYx0ti2RrZzz+067pbD2Pdq132HtwIGrv5XbA3CJbdUei0konoXFEzqXSG4/sSfLj6FtvrUwl9dsgrD/bZTybZWlAFANYn+oLM93AFsINmzTvoqjFsgOQ6RTFwivQn2dPNLHN4iDuZEAgK6trKMR81uKJ7mcdKDhOxCSf5LJvGwO1mjpNseqCahDBlUSBxtOlrgR3PhjXsHbg6d7fDPa+F3jonpAz/qeUx6tti5u/slKrdKZq8XckrEcZ1IINbsGjr+CJfsYsmP6E3yX2Qjnd6EwCpKP6JC4mhTVSbOyk1/Hbg5vHUfrP8trPg8fPEVmBKjeN6UEyWruKNFPne2yfy9ConcUgi0Q1tD7GMaD0sPg6ES/upy2g1w5nd6d41Q3+aIrGlFGeSokDjaHNku273roK1xYOaw9VFZlFffAplxOnVNPUn6Hu97TT5XlUk5Cq/x+DkR/Y5j8fwPpWfE+z7o7ZqDhbmrpSlSb3A1id5kWytKP6NC4mhT5ZSpCLTDLg/ZyH1NW4NkQs89L7GpZMqJ4EsLl6E+7LQmdQv5JSI3gZCo3gnr74LjL4PRvXAAD1XcrOv8FGo2KcoAoULiaHNku9ifM/Kg7KneXauzLflzyp4RAfW+DyQ+NqtA+jhECgnj954b4GoSsXIl1t4sQujU671db7jhahIa2aQMITQE9mhTtV1s+uk5sP1pceqm4vxc90t48tswZxUs/iTMOttbCOm2NRLnP/kEb/eZeQas/Z74Diq3irPWawtINwPYzboOdMKT3wKMOLU3/RVWfgMKRugi6fokNLJJGUKokDiaWCtVURd9QgTFtkfhyHtSOTUZqnbAM/8l19i/QRb+9BwxD009UZLS8sbCpKXhLGqAQAe894TkPfg9/lO7QmLHsxL+6jaU90JuN02iciu8eqdoD8FOscWf/BXv1xtuqCahDEFUSBxNGiuktHbJbHnzB9j+VHJCwlr459ek1tKlf5ayGDvWQtnT4mtYe3P42GMulN4ALnvXOYX8PJiaXMYvkrf+rf+UpLeFH/d+bkYe+DPDPonqnbK98inJL/Cldw0DHWm43z2VPhKKMkCokDiauJFNpbOgcLI4gMuegpO+5P0ab/5BHN4f/Ek4kWvOOfIDEjHVWAEv/UyOrT8YNudsXSOLtlvIzws+H8w4HTb/DbDendYgZrTc0p5ComTmyBYOLqVz4cQvwfvOG+iZKIpn1HF9NDnynmzdyqGzzpKMZjcPIRGdbfD0jTDlJDj+09GPycyTRfjkr4INSGN7gNZ62PQXERDxwl6jMetMqS8EyZejzoko8le9U5zZKiAEfxqs+r76JJQhhQqJo0lVGaRlQ8FE+Tz1ZIk0cttgduedB8XE47L9SXkrX/l1ecOPR8lMmHEabLgHggH4162yWJ/6zeTn7Woe/gzpg5wMbtY1iJBI9nxFUQYVKiSOJke2S9VQd4Gf7GQ6743S3Gfb4/C3q+Af14TH3v6T+CBmnObtfkuugPpyWPcLcRgv/qTUZEqW/HEwdr6YR7w6vF1ySyM0iV0qJBRliKM+iaNJ1XaYEFH3P7dEFt7u9ZHaGmHNN8R/sOcl2Puq5Ca89wQsv9r7Qv2+88Qp+tR/ionnrO+mPvcP/0oikpLFLRfe0SICS4WEogxpVJM4WnS2Qe3enoloU04QIRAMhsee+x+o2wf/9icpJPfij2HzQ1Ii47gkoov86aI9gHQuc0NSU2HssTD+uOTPyy2RSqeV2+SzCglFGdKokDhaVO8U52/3dpdTT4K2Oqh0Sl4cfAdeuUNMRTPPkCJ87z0u0Uqj58G4hcnd96SvwHk/hqVX9s33SBY367r8ddmqkFCUIY0KiaNFZPhrJFOczGfXL/H0jZKJe9aN8nn5VdK3oHaPaBHJZmdnF8KyK5P3JfQVrvbiFgkcKn2sFUWJigqJo0WVIyS6t7ssnCoZt3tfkZ8da+Hkr4VbZOYUw7LPSJbygo/175z7gpwS2Za/Jt/JLdWhKMqQRB3XR4vqXeJEjiyTAaIZTDlBBETjYSlVsaybaeiM78Dxl8Ooif03377CNTfV7E4tskpRlEGFahJHi9q9ojVEY8qJ4qje9S/RIjJyu+5Py/BeeXWwEeksV3+Eogx5VEgcLWr3QuGU6Ptcv0TeWFj6mf6bU3+QVSjlxUGFhKIMA1RIHA2CAagrjy0kxs6HiUvhrP+CjJz+ndvRxucL+yFUSCjKkEd9EkeDhkOS4xBLSPj8cNUz/Tun/iSnRPpYq5BQlCGPahJHg9q9so0lJIY7rvNahYSiDHlUSBwNQkIihuN6uJNbApmjwuGwiqIMWdTcdDRwhcSoSQM7j4Fi+dWSPZ5Km1ZFUQYVKiSOBrV7JHIpPWugZzIwTDtFfhRFGfKoueloEC/8VVEUZQihQuJooEJCUZRhggqJviZRjoSiKMoQoldCwhiz2xiz0RjzljFmvTNWbIx5yhiz3dkWOePGGHO7MabMGPOOMeb4iOtc7hy/3RhzecT4Euf6Zc65g98TmihHQlEUZQjRF5rE6dbaRdbapc7n64FnrLWzgWeczwDnArOdn6uBO0CECnAjsAJYDtzoChbnmKsjzlvdB/M9uoz0HAlFUYYVR8PcdCFwj/P7PcBFEeP3WuEVoNAYMx5YBTxlra221tYATwGrnX0F1tp11loL3BtxrcHLSM+RUBRlWNFbIWGBJ40xG4wxVztjY621BwGc7RhnfCKwL+Lccmcs3nh5lPHBzUjPkVAUZVjR2zyJk621B4wxY4CnjDFb4xwbzZ9gUxjveWERUFcDTJkywGaeUI5E9sDOQ1EUpQ/olSZhrT3gbA8DDyE+hQrHVISzPewcXg5Mjjh9EnAgwfikKOPR5vEra+1Sa+3S0aNH9+Yr9R4Nf1UUZRiRspAwxuQaY/Ld34FzgE3Aw4AboXQ58A/n94eBTzlRTicAdY45n5FAcQAAEsdJREFU6gngHGNMkeOwPgd4wtnXYIw5wYlq+lTEtQYvKiQURRlG9MbcNBZ4yIlKTQP+aK193BjzOvCgMeZKYC9wsXP8GuADQBnQDFwBYK2tNsZ8D3jdOe4ma2218/sXgLuBbOAx52fw4uZIHDv4/euKoiheSFlIWGt3AsdFGa8CzowyboFrYlzrLuCuKOPrgfmpzrHfqdktORJF0wd6JoqiKH2CZlz3JeXrZTtpafzjFEVRhggqJPqS/eshIw9Gv2+gZ6IoitInqJDoS8pfhwmLpT2poijKMECFRF/R0QKHNsKkZQM9E0VRlD5DhURfcfAdCHaqP0JRlGGFCom+otyJ4J2oQkJRlOGDCom+ovx1SaLLHzvQM1EURekzVEj0Ffs3qBahKMqwQ4VEX1B/EOr2qdNaUZRhhwqJvmC/m0SnQkJRlOGFCone0lwNG+4BXzqMWzDQs1EURelTettPYmSz8S/w+PUiKM78T0jPGugZKYqi9CkqJFLBWvjXrfDc/8CE4+GTf4PxCwd6VoqiKH2OColksRae+g68fDssuhTOvx38+hgVRRme6OoWj/oDsOVhaDwEDc5PXTlUbYdln4VzbwOfunUURRm+qJCIRTAAv/8wVL4rTun8cdK7evRcWPoZOOELYKK14VYURRk+qJCIxdt/EgHx4V/D/I+qxqAoyohEV75odLTCs/8N4xepgFAUZUSjmkQ0Xv8N1JfDhf+rAkJRlBGNColIanZD2TPwwg9hxmkw8/QBnpCiKMrAokLC5Z/Xwvrfyu9F02DV/wzodBRFUQYDw1NINB2Bdf8LrXUQ6JBtU6X8fvZ/wbRTuh6/f4MIiOP+DVZeCyWzNHJJURSF4Sgkgp1wz/lQuQ1yiiV8NTMf8sZI3sO9F8FFv4SFH5PjrYUnvwM5pXDurZBVMLDzVxRFGUQMPyFRVQbVeXDZQzDj1K77Wmrggcvgb1fBoXdg5Tdg7yuw50X4wA9VQCiKonTDWGsHeg59ytKJ6Xb9C0/3FBAunW3w6Nfhzd9D5ijIyIH0HLjmVfCn9+9kFUVRBgnGmA3W2h6d04ZffGfxjNgCAiAtU0JbP/8iTF8JjRVwzs0qIBRFUaIw/MxNmfnejhu3AC65D9qbRZtQFEVRejD8NIlkUQGhKIoSExUSiqIoSkxUSCiKoigxUSGhKIqixESFhKIoihITFRKKoihKTFRIKIqiKDFRIaEoiqLERIWEoiiKEpPhl3HdjdrmdnZXNVPV2EZ9awfFuZmMK8hi3KgsCrLSMAlKgje3d/LqzmrW76kmPyudSUXZjCvIojAng+Jc+fHC4YZWXi6rYn9tC3PG5vO+cfmMH5VFml/ltKIog5dhJyRqm9v5/brdVNS38WLZEd4uryVWDcPsdD8Ti7JZObuUDywYD8Cf1+/jyS0VBIKW7HQ/Nc3tdAQsPgPBKNdZPr2Yz71/BqfPHYPPJwJnb1Uzv35hJ6/tqiZgLW2dAfZVt0SdQ2FOOjNH5/HvZ83hlNmlffEIFEVR+oxhVwU2c/xsO/7yn+IzcNzkQt4/ezQLJ42iNC+T/Kw0qpvaOVjXSkV9KwfrWtlZ2chLO6po7wwCkJvh55xjxzEqO53WjgCjctJZOWs0S6cV0REIsr+2hUN1rdS1dFBe08IfX93L/toWSvMymViUTW6Gn1d2VuH3GVbOHk12uh+fzzBvfD4rZ41mWmkO2w83su1QAxX1rVQ1tvPce4fZV93Cme8bw3kLxzM6P5OsdD/lNc3sq25hb3Uze6ubOVjXQmNrJ41tnVgL6X4f+VlpLJtezCmzSjl97hjGjcrq8jxaOwL8ZUM5j206SLrfR15mWuinMCedxVOKWDK1iKx0v+dnfKSxjT1VTRTlZDChMDupcxVFGZzEqgI76IWEMWY18DPAD/zGWntLvOMXLDrern1hHflZaZ4Xr8a2Tp7depigtZx9zFhyMrwrWB2BII++c5AXy46EFv2Vs0v5zCnTGVuQlfgCyEJ+98u7+d+1ZTS2dfbYP64gi8nF2UwozKYgK53czDT8PugIWCob2li3o4pD9a0ALJtWxGlzxxAMWqqa2nl040EqG9qYPSaP7Ax/SMg0tXXS1B4AIMPvY3JxNtkZfnIz0phWksvssXlMK8lldH4m2Rl+Xt1Vzb+2VfLWvhqONLZ3mV9RTjp5WWnkZ6Yze2we8yeMYv7EURw7sYCCLO/VdYNBS0cwiM8Y0tUMpyj9ypAUEsYYP/AecDZQDrwOfMJauyXWOUuXLrXr16/vpxn2La0dAQ7VtVLZ2EZze4CJhdlMKkr8pm6tZUdlI49tPMQj7xzgvYpGQMxpS6cV8YVTZ3LizJIe/pfGtk5e31XNup1V7K9poaUjQENrB2WHG6lp7uhxn8nF2ayYXsL7xuUzY3Qutc2iTVU2tNHU1klNczvbDjVwoK41dM6U4hzG5GdSkJ2OAQ43tFHZ0EZbZ4DOgKUzaOkMBukM2i5mwVHZ6ZTmZTC5OIcZpXlMLMomw2/w+QyH69vYW93M4YZWOgKWQNCS7jfkZqSRk5lGTrqfnEwReNkZfgqy0hg/KpuJRdkU5qSTmeYnaC17q5vZU9VEfUsnHQGZQ2cgSEfAkpHmozAnnfysdKy1BK3F7/ORne4nJ8NPdoZsOwMijGub22nrDNIRCGIt+H0Gv8+Q5mzd39N8PkrzM5kwKovi3Az8jomyvrWTyoY2Gts6SfeLkEz3+0jzGTLTfGSm+clM95Hh94XMmvH+jgAy03wJfW6xsNbSHgiS4e96DWvleXcGLT5jyEiLL8w7A0FaO4Ok+Qw+Y2gPBGnrCGCBrHQ/mWm+hC8EwaDlSFMbgaDFbwzGOM/UGHw+eda+LmOJv3NTWyf1rR10BuR7dgYsHYGg850MGX4/6WmGDL+Plo4Atc0dtHUGKM7NZEx+JgFrqW5sD5mjOwNBjDFkZ/jJSveRleYnK91PY1snB+taqGpsZ1ROOqPzMukMWsprmqmobyMzTbR7Y6C5PUBTWycH61o5UNuCtTClJCe0BqT5DLmZaUwszGZsQVZIo29uDzC2IIvSvEwqG9rYXdVEfWsH+Zlp5GSkUd/aQWVDG60dQUryMhidl0lOpp8Mv4+ghZrmdqqb2vnSGbOHpJA4EfiutXaV8/kGAGvt/8Q6ZygLib6irrmD7Ax/wv/AsbDWcqSxnf21LRxpEIf/osmFTC/N9bToHGlsY/OBejbtr2PLwXpqmtqpb+0gGIQxBZmMzhPtxO+TxTByAU3zGzoCQaoa26lsEGGw60gTLc7CB9J+fLwTfJCRJud3dFqa2jtpaQ/Q1N5Jc5tso/mRBht+nyGQxEQz/D4RHOmO8EjzkZnuJxi0HKoXUyiAz0Bmmh9jwEDo384Y8BmDz0BORhoF2enkZPhpahMts8HRNgNBizHysmGAjqANCUGXdL9xBGcaOZkiOHPS00jzGw7UtlBe00Jngu/mdwShKzTcbWa6n9b2AHuqm2jtCHp+PgVZaYzOz6QoJ4M0R+AW52YwflQ2AOt2VrGxvHbQ/m24vlKAvdXNIVN4b3BfNlzrQTT23PrBISkkPgqsttZ+1vl8GbDCWvulbsddDVwNMGXKlCV79uzp97kqR49g0MpbX1DeYkdlp3syJVpraesMUt/SwYG6VvbXtFDf2kF7ZxBrLZOKcphWmkNxbqYjsBxB5ZM33trmDhpaO0JvroFgkOb2AM3tgZAwSvP5KMnLoCgng6x0eSs2QMB543bfut3f2zuDHG5o41BdCzXNHXQGggSspSgng9H54jfrcN5q3bfc9k75aesM0tYZkG1H+PfWDtkaYGxBFmMLMjHG0NoRoLUjgLVgQ88EgtaKRmAtze0B6ls6aG4PkJuZRn5mGvlZaeRlpZGd7qe9U74zQJrfR4bfkOYXYR4M2tDzaG7v7PJ7e2eQ8YXZTC3OoTAnnUAQAsEgGY4QAGjrkLm3dgbk984ArR3B0Hdq7QiQmeZjakkuU0tyyPD7CFhL0H2eVv423Gct5kpLXXM7lY1t1DaHNYUjjW0cqmvFAosmF3LSzBImFmaT5veFNLc0nyFooT0QpKMzGHr22el+CrLTyUr3UdXYzuGGNtJ8huLcDIpy08nw++V5WEtbR5AWZ+6tHUGyM3xMGJVNSV4GdS0dVDa04/cZJhdLlGR7Z5AGx8eYmynCNjLqMhi0HGlso60zSCBoqWvpYH9tCxX1rYzOz2RaSS65mWlU1LdypLGNktxMppXmUJidQVO7mJXzs9IpzE7H5zO0tAc40tgW+psBQlGa2RlpQ1JIXAys6iYklltrvxzrHNUkFEWJhuvzykzTQItoxPJJDPYQ2HJgcsTnScCBAZqLoihDGJ/PkOlTAZEsgz2E5HVgtjFmujEmA7gEeHiA56QoijJiGNSahLW20xjzJeAJJAT2Lmvt5gGelqIoyohhUAsJAGvtGmDNQM9DURRlJDLYzU2KoijKAKJCQlEURYmJCglFURQlJiokFEVRlJgM6mS6VDDGNADbkjxtFFDXy1t7vUYpcGSQzGUoXSfRc+vPufTVdY7mXJJ9XoPpufTVdVK5RrTnNtj/rfvqOnOttfk9jrROiv5w+QHWp3DOr/rgvp6ukWh+/TmXoXSdVP5dh8B3OmpzSfZ5DabnMpDPN9pzG+z/1n11nVh/M2puEh4ZJNfoq+sMprn05XX6gsH0nXQuR/c6Opc+uM5wNDett1HqjwwWBvv8Biv63JJDn1dqjOTnFuu7D0dN4lcDPYEEDPb5DVb0uSWHPq/UGMnPLep3H3aahKIoitJ3DEdNQlEURekjVEgoiqIoMVEh0YcYY6wx5vcRn9OMMZXGmH8O5LyGEsaYxoGew1Aj0TP7/+3dfYhUVRzG8e9DbwaGmFRYahZUUmEpYVASVgRpgUqvW5SSBNE/RQRFRfRCIRFZUoRklkEYikH+kyCkoEklamimqdiLW1LYCvaGYT39cc/Quu2swu7OzLbPB5Z759wzw+8eduZ3zz33nitpjaRBORjblaSZ5Xs6rtmxDBRJEn3rN+BiSSeX19cB3zcxnog4UhuwjurZNHEMkiT63ofADWW9DVhS2yBpkqT1kjaX5QWlfK2kSzvV+1jS+IZG3UIkTenc+5L0qqTZZf0bSU9L2iRpa44IKz21WVQkDQWuBOZQksRR/temSdohaZ2k+YP1jECSRN97D7hd0hBgPPBpp207gKtsTwCeBJ4v5QuB2QCSzgdOsr2lYREPPPttTwReBx5udjAxYMwAVtreCXRImlivYvn+LgCm2p4MnNagGFtOkkQfKz/uY6l6EV0fljQMWCbpC2AecFEpXwbcKOkE4B7g7YYEO3C9X5Ybqdo64li0UR3EUZZtPdQdB+yx/XV5vaSHuv9rLf9kugFqBfAiMAUY0an8WWC17ZmSxgJrAGz/LmkVMB24FRjsg4yHOfIAZkiX7YfK8i/yP1xztDYb1CSNAK6hGjM01eOQTfVd7a7d1NgIW1d6Ev1jEfCM7a1dyofx70D27C7bFgLzgQ22O/o3vJb3LXChpJMkDQOubXZAA0DarGc3A+/YPtv2WNujgVovobt22wGcWw7mAG5raLQtJEdh/cB2O/BKN5teABZLegj4qMt7Nko6CLzVgBBbkqTjgUO290paCmwBdgGbmxtZ60qbHbM2YG6XsuXAHcB/2s32H5LuB1ZK2g981sBYW0qm5WgRks6kOv00zvbfTQ6nKSRdArxhe1KzYxko0mb9R9JQ279KEvAasMv2vGbH1Wg53dQCJN1NdRXU44M4QdxHNTj4RLNjGSjSZv3uXkmfA9uoThUvaHI8TZGeRERE1JWeRC9JGi1ptaTtkrZJeqCUnypplaRdZTm8lN8paUv5W19OF9Q+63pJX0naLenRZu1TRERNehK9JGkkMNL2JkmnUF27P4Pq6qUO23PLD/5w249IugLYbvuApKnAU7Yvl3QcsJNqKo92YAPQZvvLZuxXRASkJ9FrtvfZ3lTWfwG2A2dR3fOwuFRbTJU4sL3e9oFS/gkwqqxPAnbb3mP7T6qbfaY3Zi8iIrqXJNGHyjXVE6gGoc+wvQ+qRAKc3s1b5lDN9QRVYtnbaVt7KYuIaJrcJ9FHyuRhy4EHbR+srprrsf7VVElicq2om2o5FxgRTZWeRB8ocy4tB961XZtX6McyXlEbt/ipU/3xVHdYT7f9cyluB0Z3+thRwA/9HXtERE+SJHqp3GjzJtVg9EudNq0AZpX1WcAHpf4Yqgnq7iqzUdZsAM6TdI6kE6mmMl7R3/FHRPQkVzf1kqTJwFpgK1C7Ee4xqnGJpcAY4DvgFtsdkhYCN1HNtQNw2PZl5bOmAS9TTT62yPZzDduRiIhuJElERERdOd0UERF1JUlERERdSRIREVFXkkRERNSVJBEREXUlSURERF1JEhERUVeSRERE1PUPUHrAb8lhGJ8AAAAASUVORK5CYII=\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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\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"
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- },
- "outputs": [],
- "source": []
- }
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- "language": "python",
- "name": "python3"
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- "language_info": {
- "codemirror_mode": {
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- },
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projects / covid19.git / blobdiff