+++ /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"
- ]
- },
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projects / covid19.git / blobdiff