{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# The SARS-CoV-2 (Covid-19) epidemic\n", "Getting the Data: (and NOT caching it as the data source is updated and so reevaluating this cell will give the latest results)" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "import numpy as np\n", "import datetime\n", "from matplotlib import pyplot as plt\n", "%matplotlib inline" ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [], "source": [ "confirmed = pd.read_csv('https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv')\n", "recovered = pd.read_csv('https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_recovered_global.csv')\n", "deaths = pd.read_csv('https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_deaths_global.csv')\n", "# all the data is also in the archived_raw_data subdir in case of deletion of the original sources." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Check that we did not misstype some urls:" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " Province/State Country/Region Lat Long 1/22/20 1/23/20 1/24/20 \\\n", "0 NaN Afghanistan 33.0000 65.0000 0 0 0 \n", "1 NaN Albania 41.1533 20.1683 0 0 0 \n", "2 NaN Algeria 28.0339 1.6596 0 0 0 \n", "3 NaN Andorra 42.5063 1.5218 0 0 0 \n", "4 NaN Angola -11.2027 17.8739 0 0 0 \n", "\n", " 1/25/20 1/26/20 1/27/20 ... 5/10/20 5/11/20 5/12/20 5/13/20 \\\n", "0 0 0 0 ... 4402 4687 4963 5226 \n", "1 0 0 0 ... 868 872 876 880 \n", "2 0 0 0 ... 5723 5891 6067 6253 \n", "3 0 0 0 ... 755 755 758 760 \n", "4 0 0 0 ... 45 45 45 45 \n", "\n", " 5/14/20 5/15/20 5/16/20 5/17/20 5/18/20 5/19/20 \n", "0 5639 6053 6402 6664 7072 7653 \n", "1 898 916 933 946 948 949 \n", "2 6442 6629 6821 7019 7201 7377 \n", "3 761 761 761 761 761 761 \n", "4 48 48 48 48 50 52 \n", "\n", "[5 rows x 123 columns]\n", " Province/State Country/Region Lat Long 1/22/20 1/23/20 1/24/20 \\\n", "0 NaN Afghanistan 33.0000 65.0000 0 0 0 \n", "1 NaN Albania 41.1533 20.1683 0 0 0 \n", "2 NaN Algeria 28.0339 1.6596 0 0 0 \n", "3 NaN Andorra 42.5063 1.5218 0 0 0 \n", "4 NaN Angola -11.2027 17.8739 0 0 0 \n", "\n", " 1/25/20 1/26/20 1/27/20 ... 5/10/20 5/11/20 5/12/20 5/13/20 \\\n", "0 0 0 0 ... 558 558 610 648 \n", "1 0 0 0 ... 650 654 682 688 \n", "2 0 0 0 ... 2678 2841 2998 3058 \n", "3 0 0 0 ... 550 550 568 576 \n", "4 0 0 0 ... 13 13 13 14 \n", "\n", " 5/14/20 5/15/20 5/16/20 5/17/20 5/18/20 5/19/20 \n", "0 691 745 745 778 801 850 \n", "1 694 705 714 715 727 742 \n", "2 3158 3271 3409 3507 3625 3746 \n", "3 596 604 615 617 624 628 \n", "4 14 17 17 17 17 17 \n", "\n", "[5 rows x 123 columns]\n", " Province/State Country/Region Lat Long 1/22/20 1/23/20 1/24/20 \\\n", "0 NaN Afghanistan 33.0000 65.0000 0 0 0 \n", "1 NaN Albania 41.1533 20.1683 0 0 0 \n", "2 NaN Algeria 28.0339 1.6596 0 0 0 \n", "3 NaN Andorra 42.5063 1.5218 0 0 0 \n", "4 NaN Angola -11.2027 17.8739 0 0 0 \n", "\n", " 1/25/20 1/26/20 1/27/20 ... 5/10/20 5/11/20 5/12/20 5/13/20 \\\n", "0 0 0 0 ... 120 122 127 132 \n", "1 0 0 0 ... 31 31 31 31 \n", "2 0 0 0 ... 502 507 515 522 \n", "3 0 0 0 ... 48 48 48 49 \n", "4 0 0 0 ... 2 2 2 2 \n", "\n", " 5/14/20 5/15/20 5/16/20 5/17/20 5/18/20 5/19/20 \n", "0 136 153 168 169 173 178 \n", "1 31 31 31 31 31 31 \n", "2 529 536 542 548 555 561 \n", "3 49 49 51 51 51 51 \n", "4 2 2 2 2 3 3 \n", "\n", "[5 rows x 123 columns]\n" ] } ], "source": [ "for x in confirmed, recovered, deaths:\n", " print(x.head())" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Looks good so lets draw the \"[...] *graph showing the evolution of the cumulative number of cases over time for: Belgium, China (all provinces except Hong Kong), China, Hong-Kong, France except Dom/Tom, Germany, Iran, Italy, Japan, Korea South, Netherlands without the colonies, Portugal, Spain, United Kingdom without the colonies, US.*\" as proposed in the task\n", "\n", "Unfortunately we cannot take the data as is as there are some special cases:" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/html": [ "
\n", " | Province/State | \n", "Country/Region | \n", "Lat | \n", "Long | \n", "1/22/20 | \n", "1/23/20 | \n", "1/24/20 | \n", "1/25/20 | \n", "1/26/20 | \n", "1/27/20 | \n", "... | \n", "5/10/20 | \n", "5/11/20 | \n", "5/12/20 | \n", "5/13/20 | \n", "5/14/20 | \n", "5/15/20 | \n", "5/16/20 | \n", "5/17/20 | \n", "5/18/20 | \n", "5/19/20 | \n", "
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
107 | \n", "French Guiana | \n", "France | \n", "3.9339 | \n", "-53.1258 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "... | \n", "144 | \n", "144 | \n", "144 | \n", "153 | \n", "164 | \n", "189 | \n", "197 | \n", "197 | \n", "210 | \n", "218 | \n", "
108 | \n", "French Polynesia | \n", "France | \n", "-17.6797 | \n", "149.4068 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "... | \n", "60 | \n", "60 | \n", "60 | \n", "60 | \n", "60 | \n", "60 | \n", "60 | \n", "60 | \n", "60 | \n", "60 | \n", "
109 | \n", "Guadeloupe | \n", "France | \n", "16.2500 | \n", "-61.5833 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "... | \n", "154 | \n", "154 | \n", "155 | \n", "155 | \n", "155 | \n", "155 | \n", "155 | \n", "155 | \n", "155 | \n", "155 | \n", "
110 | \n", "Mayotte | \n", "France | \n", "-12.8275 | \n", "45.1662 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "... | \n", "1023 | \n", "1023 | \n", "1095 | \n", "1143 | \n", "1210 | \n", "1210 | \n", "1312 | \n", "1342 | \n", "1370 | \n", "1370 | \n", "
111 | \n", "New Caledonia | \n", "France | \n", "-20.9043 | \n", "165.6180 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "... | \n", "18 | \n", "18 | \n", "18 | \n", "18 | \n", "18 | \n", "18 | \n", "18 | \n", "18 | \n", "18 | \n", "18 | \n", "
112 | \n", "Reunion | \n", "France | \n", "-21.1351 | \n", "55.2471 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "... | \n", "436 | \n", "436 | \n", "437 | \n", "439 | \n", "440 | \n", "441 | \n", "443 | \n", "443 | \n", "446 | \n", "446 | \n", "
113 | \n", "Saint Barthelemy | \n", "France | \n", "17.9000 | \n", "-62.8333 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "... | \n", "6 | \n", "6 | \n", "6 | \n", "6 | \n", "6 | \n", "6 | \n", "6 | \n", "6 | \n", "6 | \n", "6 | \n", "
114 | \n", "St Martin | \n", "France | \n", "18.0708 | \n", "-63.0501 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "... | \n", "39 | \n", "39 | \n", "39 | \n", "39 | \n", "39 | \n", "39 | \n", "39 | \n", "39 | \n", "39 | \n", "39 | \n", "
115 | \n", "Martinique | \n", "France | \n", "14.6415 | \n", "-61.0242 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "... | \n", "186 | \n", "187 | \n", "187 | \n", "189 | \n", "189 | \n", "192 | \n", "192 | \n", "192 | \n", "192 | \n", "192 | \n", "
116 | \n", "NaN | \n", "France | \n", "46.2276 | \n", "2.2137 | \n", "0 | \n", "0 | \n", "2 | \n", "3 | \n", "3 | \n", "3 | \n", "... | \n", "175027 | \n", "175479 | \n", "176207 | \n", "175981 | \n", "176712 | \n", "177319 | \n", "177207 | \n", "177240 | \n", "177554 | \n", "178428 | \n", "
258 | \n", "Saint Pierre and Miquelon | \n", "France | \n", "46.8852 | \n", "-56.3159 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "... | \n", "1 | \n", "1 | \n", "1 | \n", "1 | \n", "1 | \n", "1 | \n", "1 | \n", "1 | \n", "1 | \n", "1 | \n", "
11 rows × 123 columns
\n", "\n", " | Province/State | \n", "Country/Region | \n", "Lat | \n", "Long | \n", "1/22/20 | \n", "1/23/20 | \n", "1/24/20 | \n", "1/25/20 | \n", "1/26/20 | \n", "1/27/20 | \n", "... | \n", "5/10/20 | \n", "5/11/20 | \n", "5/12/20 | \n", "5/13/20 | \n", "5/14/20 | \n", "5/15/20 | \n", "5/16/20 | \n", "5/17/20 | \n", "5/18/20 | \n", "5/19/20 | \n", "
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
49 | \n", "Anhui | \n", "China | \n", "31.8257 | \n", "117.2264 | \n", "1 | \n", "9 | \n", "15 | \n", "39 | \n", "60 | \n", "70 | \n", "... | \n", "991 | \n", "991 | \n", "991 | \n", "991 | \n", "991 | \n", "991 | \n", "991 | \n", "991 | \n", "991 | \n", "991 | \n", "
50 | \n", "Beijing | \n", "China | \n", "40.1824 | \n", "116.4142 | \n", "14 | \n", "22 | \n", "36 | \n", "41 | \n", "68 | \n", "80 | \n", "... | \n", "593 | \n", "593 | \n", "593 | \n", "593 | \n", "593 | \n", "593 | \n", "593 | \n", "593 | \n", "593 | \n", "593 | \n", "
51 | \n", "Chongqing | \n", "China | \n", "30.0572 | \n", "107.8740 | \n", "6 | \n", "9 | \n", "27 | \n", "57 | \n", "75 | \n", "110 | \n", "... | \n", "579 | \n", "579 | \n", "579 | \n", "579 | \n", "579 | \n", "579 | \n", "579 | \n", "579 | \n", "579 | \n", "579 | \n", "
52 | \n", "Fujian | \n", "China | \n", "26.0789 | \n", "117.9874 | \n", "1 | \n", "5 | \n", "10 | \n", "18 | \n", "35 | \n", "59 | \n", "... | \n", "356 | \n", "356 | \n", "356 | \n", "356 | \n", "356 | \n", "356 | \n", "356 | \n", "356 | \n", "356 | \n", "356 | \n", "
53 | \n", "Gansu | \n", "China | \n", "37.8099 | \n", "101.0583 | \n", "0 | \n", "2 | \n", "2 | \n", "4 | \n", "7 | \n", "14 | \n", "... | \n", "139 | \n", "139 | \n", "139 | \n", "139 | \n", "139 | \n", "139 | \n", "139 | \n", "139 | \n", "139 | \n", "139 | \n", "
54 | \n", "Guangdong | \n", "China | \n", "23.3417 | \n", "113.4244 | \n", "26 | \n", "32 | \n", "53 | \n", "78 | \n", "111 | \n", "151 | \n", "... | \n", "1589 | \n", "1589 | \n", "1589 | \n", "1589 | \n", "1589 | \n", "1589 | \n", "1590 | \n", "1590 | \n", "1590 | \n", "1590 | \n", "
55 | \n", "Guangxi | \n", "China | \n", "23.8298 | \n", "108.7881 | \n", "2 | \n", "5 | \n", "23 | \n", "23 | \n", "36 | \n", "46 | \n", "... | \n", "254 | \n", "254 | \n", "254 | \n", "254 | \n", "254 | \n", "254 | \n", "254 | \n", "254 | \n", "254 | \n", "254 | \n", "
56 | \n", "Guizhou | \n", "China | \n", "26.8154 | \n", "106.8748 | \n", "1 | \n", "3 | \n", "3 | \n", "4 | \n", "5 | \n", "7 | \n", "... | \n", "147 | \n", "147 | \n", "147 | \n", "147 | \n", "147 | \n", "147 | \n", "147 | \n", "147 | \n", "147 | \n", "147 | \n", "
57 | \n", "Hainan | \n", "China | \n", "19.1959 | \n", "109.7453 | \n", "4 | \n", "5 | \n", "8 | \n", "19 | \n", "22 | \n", "33 | \n", "... | \n", "168 | \n", "168 | \n", "168 | \n", "168 | \n", "168 | \n", "169 | \n", "169 | \n", "169 | \n", "169 | \n", "169 | \n", "
58 | \n", "Hebei | \n", "China | \n", "39.5490 | \n", "116.1306 | \n", "1 | \n", "1 | \n", "2 | \n", "8 | \n", "13 | \n", "18 | \n", "... | \n", "328 | \n", "328 | \n", "328 | \n", "328 | \n", "328 | \n", "328 | \n", "328 | \n", "328 | \n", "328 | \n", "328 | \n", "
59 | \n", "Heilongjiang | \n", "China | \n", "47.8620 | \n", "127.7615 | \n", "0 | \n", "2 | \n", "4 | \n", "9 | \n", "15 | \n", "21 | \n", "... | \n", "945 | \n", "945 | \n", "945 | \n", "945 | \n", "945 | \n", "945 | \n", "945 | \n", "945 | \n", "945 | \n", "945 | \n", "
60 | \n", "Henan | \n", "China | \n", "33.8820 | \n", "113.6140 | \n", "5 | \n", "5 | \n", "9 | \n", "32 | \n", "83 | \n", "128 | \n", "... | \n", "1276 | \n", "1276 | \n", "1276 | \n", "1276 | \n", "1276 | \n", "1276 | \n", "1276 | \n", "1276 | \n", "1276 | \n", "1276 | \n", "
61 | \n", "Hong Kong | \n", "China | \n", "22.3000 | \n", "114.2000 | \n", "0 | \n", "2 | \n", "2 | \n", "5 | \n", "8 | \n", "8 | \n", "... | \n", "1047 | \n", "1047 | \n", "1047 | \n", "1050 | \n", "1051 | \n", "1052 | \n", "1052 | \n", "1055 | \n", "1055 | \n", "1055 | \n", "
62 | \n", "Hubei | \n", "China | \n", "30.9756 | \n", "112.2707 | \n", "444 | \n", "444 | \n", "549 | \n", "761 | \n", "1058 | \n", "1423 | \n", "... | \n", "68134 | \n", "68134 | \n", "68134 | \n", "68134 | \n", "68134 | \n", "68134 | \n", "68134 | \n", "68134 | \n", "68135 | \n", "68135 | \n", "
63 | \n", "Hunan | \n", "China | \n", "27.6104 | \n", "111.7088 | \n", "4 | \n", "9 | \n", "24 | \n", "43 | \n", "69 | \n", "100 | \n", "... | \n", "1019 | \n", "1019 | \n", "1019 | \n", "1019 | \n", "1019 | \n", "1019 | \n", "1019 | \n", "1019 | \n", "1019 | \n", "1019 | \n", "
64 | \n", "Inner Mongolia | \n", "China | \n", "44.0935 | \n", "113.9448 | \n", "0 | \n", "0 | \n", "1 | \n", "7 | \n", "7 | \n", "11 | \n", "... | \n", "208 | \n", "209 | \n", "209 | \n", "209 | \n", "209 | \n", "209 | \n", "209 | \n", "213 | \n", "216 | \n", "216 | \n", "
65 | \n", "Jiangsu | \n", "China | \n", "32.9711 | \n", "119.4550 | \n", "1 | \n", "5 | \n", "9 | \n", "18 | \n", "33 | \n", "47 | \n", "... | \n", "653 | \n", "653 | \n", "653 | \n", "653 | \n", "653 | \n", "653 | \n", "653 | \n", "653 | \n", "653 | \n", "653 | \n", "
66 | \n", "Jiangxi | \n", "China | \n", "27.6140 | \n", "115.7221 | \n", "2 | \n", "7 | \n", "18 | \n", "18 | \n", "36 | \n", "72 | \n", "... | \n", "937 | \n", "937 | \n", "937 | \n", "937 | \n", "937 | \n", "937 | \n", "937 | \n", "937 | \n", "937 | \n", "937 | \n", "
67 | \n", "Jilin | \n", "China | \n", "43.6661 | \n", "126.1923 | \n", "0 | \n", "1 | \n", "3 | \n", "4 | \n", "4 | \n", "6 | \n", "... | \n", "127 | \n", "127 | \n", "133 | \n", "134 | \n", "138 | \n", "140 | \n", "144 | \n", "146 | \n", "151 | \n", "151 | \n", "
68 | \n", "Liaoning | \n", "China | \n", "41.2956 | \n", "122.6085 | \n", "2 | \n", "3 | \n", "4 | \n", "17 | \n", "21 | \n", "27 | \n", "... | \n", "147 | \n", "147 | \n", "147 | \n", "149 | \n", "149 | \n", "149 | \n", "149 | \n", "149 | \n", "149 | \n", "149 | \n", "
69 | \n", "Macau | \n", "China | \n", "22.1667 | \n", "113.5500 | \n", "1 | \n", "2 | \n", "2 | \n", "2 | \n", "5 | \n", "6 | \n", "... | \n", "45 | \n", "45 | \n", "45 | \n", "45 | \n", "45 | \n", "45 | \n", "45 | \n", "45 | \n", "45 | \n", "45 | \n", "
70 | \n", "Ningxia | \n", "China | \n", "37.2692 | \n", "106.1655 | \n", "1 | \n", "1 | \n", "2 | \n", "3 | \n", "4 | \n", "7 | \n", "... | \n", "75 | \n", "75 | \n", "75 | \n", "75 | \n", "75 | \n", "75 | \n", "75 | \n", "75 | \n", "75 | \n", "75 | \n", "
71 | \n", "Qinghai | \n", "China | \n", "35.7452 | \n", "95.9956 | \n", "0 | \n", "0 | \n", "0 | \n", "1 | \n", "1 | \n", "6 | \n", "... | \n", "18 | \n", "18 | \n", "18 | \n", "18 | \n", "18 | \n", "18 | \n", "18 | \n", "18 | \n", "18 | \n", "18 | \n", "
72 | \n", "Shaanxi | \n", "China | \n", "35.1917 | \n", "108.8701 | \n", "0 | \n", "3 | \n", "5 | \n", "15 | \n", "22 | \n", "35 | \n", "... | \n", "308 | \n", "308 | \n", "308 | \n", "308 | \n", "308 | \n", "308 | \n", "308 | \n", "308 | \n", "308 | \n", "308 | \n", "
73 | \n", "Shandong | \n", "China | \n", "36.3427 | \n", "118.1498 | \n", "2 | \n", "6 | \n", "15 | \n", "27 | \n", "46 | \n", "75 | \n", "... | \n", "788 | \n", "788 | \n", "788 | \n", "788 | \n", "788 | \n", "788 | \n", "788 | \n", "788 | \n", "788 | \n", "788 | \n", "
74 | \n", "Shanghai | \n", "China | \n", "31.2020 | \n", "121.4491 | \n", "9 | \n", "16 | \n", "20 | \n", "33 | \n", "40 | \n", "53 | \n", "... | \n", "659 | \n", "659 | \n", "660 | \n", "660 | \n", "660 | \n", "665 | \n", "665 | \n", "666 | \n", "666 | \n", "666 | \n", "
75 | \n", "Shanxi | \n", "China | \n", "37.5777 | \n", "112.2922 | \n", "1 | \n", "1 | \n", "1 | \n", "6 | \n", "9 | \n", "13 | \n", "... | \n", "198 | \n", "198 | \n", "198 | \n", "198 | \n", "198 | \n", "198 | \n", "198 | \n", "198 | \n", "198 | \n", "198 | \n", "
76 | \n", "Sichuan | \n", "China | \n", "30.6171 | \n", "102.7103 | \n", "5 | \n", "8 | \n", "15 | \n", "28 | \n", "44 | \n", "69 | \n", "... | \n", "561 | \n", "561 | \n", "561 | \n", "561 | \n", "561 | \n", "561 | \n", "561 | \n", "561 | \n", "561 | \n", "561 | \n", "
77 | \n", "Tianjin | \n", "China | \n", "39.3054 | \n", "117.3230 | \n", "4 | \n", "4 | \n", "8 | \n", "10 | \n", "14 | \n", "23 | \n", "... | \n", "191 | \n", "191 | \n", "191 | \n", "191 | \n", "191 | \n", "191 | \n", "192 | \n", "192 | \n", "192 | \n", "192 | \n", "
78 | \n", "Tibet | \n", "China | \n", "31.6927 | \n", "88.0924 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "... | \n", "1 | \n", "1 | \n", "1 | \n", "1 | \n", "1 | \n", "1 | \n", "1 | \n", "1 | \n", "1 | \n", "1 | \n", "
79 | \n", "Xinjiang | \n", "China | \n", "41.1129 | \n", "85.2401 | \n", "0 | \n", "2 | \n", "2 | \n", "3 | \n", "4 | \n", "5 | \n", "... | \n", "76 | \n", "76 | \n", "76 | \n", "76 | \n", "76 | \n", "76 | \n", "76 | \n", "76 | \n", "76 | \n", "76 | \n", "
80 | \n", "Yunnan | \n", "China | \n", "24.9740 | \n", "101.4870 | \n", "1 | \n", "2 | \n", "5 | \n", "11 | \n", "16 | \n", "26 | \n", "... | \n", "185 | \n", "185 | \n", "185 | \n", "185 | \n", "185 | \n", "185 | \n", "185 | \n", "185 | \n", "185 | \n", "185 | \n", "
81 | \n", "Zhejiang | \n", "China | \n", "29.1832 | \n", "120.0934 | \n", "10 | \n", "27 | \n", "43 | \n", "62 | \n", "104 | \n", "128 | \n", "... | \n", "1268 | \n", "1268 | \n", "1268 | \n", "1268 | \n", "1268 | \n", "1268 | \n", "1268 | \n", "1268 | \n", "1268 | \n", "1268 | \n", "
33 rows × 123 columns
\n", "\n", " | 0 | \n", "
---|---|
1/22/20 | \n", "548 | \n", "
1/23/20 | \n", "643 | \n", "
1/24/20 | \n", "920 | \n", "
1/25/20 | \n", "1406 | \n", "
1/26/20 | \n", "2075 | \n", "
1/27/20 | \n", "2877 | \n", "
1/28/20 | \n", "5509 | \n", "
1/29/20 | \n", "6087 | \n", "
1/30/20 | \n", "8141 | \n", "
1/31/20 | \n", "9802 | \n", "
2/1/20 | \n", "11891 | \n", "
2/2/20 | \n", "16630 | \n", "
2/3/20 | \n", "19716 | \n", "
2/4/20 | \n", "23707 | \n", "
2/5/20 | \n", "27440 | \n", "
2/6/20 | \n", "30587 | \n", "
2/7/20 | \n", "34110 | \n", "
2/8/20 | \n", "36814 | \n", "
2/9/20 | \n", "39829 | \n", "
2/10/20 | \n", "42354 | \n", "
2/11/20 | \n", "44386 | \n", "
2/12/20 | \n", "44759 | \n", "
2/13/20 | \n", "59895 | \n", "
2/14/20 | \n", "66358 | \n", "
2/15/20 | \n", "68413 | \n", "
2/16/20 | \n", "70513 | \n", "
2/17/20 | \n", "72434 | \n", "
2/18/20 | \n", "74211 | \n", "
2/19/20 | \n", "74619 | \n", "
2/20/20 | \n", "75077 | \n", "
... | \n", "... | \n", "
4/20/20 | \n", "83817 | \n", "
4/21/20 | \n", "83853 | \n", "
4/22/20 | \n", "83868 | \n", "
4/23/20 | \n", "83884 | \n", "
4/24/20 | \n", "83899 | \n", "
4/25/20 | \n", "83909 | \n", "
4/26/20 | \n", "83912 | \n", "
4/27/20 | \n", "83918 | \n", "
4/28/20 | \n", "83940 | \n", "
4/29/20 | \n", "83944 | \n", "
4/30/20 | \n", "83956 | \n", "
5/1/20 | \n", "83959 | \n", "
5/2/20 | \n", "83959 | \n", "
5/3/20 | \n", "83964 | \n", "
5/4/20 | \n", "83966 | \n", "
5/5/20 | \n", "83968 | \n", "
5/6/20 | \n", "83970 | \n", "
5/7/20 | \n", "83975 | \n", "
5/8/20 | \n", "83976 | \n", "
5/9/20 | \n", "83990 | \n", "
5/10/20 | \n", "84010 | \n", "
5/11/20 | \n", "84011 | \n", "
5/12/20 | \n", "84018 | \n", "
5/13/20 | \n", "84024 | \n", "
5/14/20 | \n", "84029 | \n", "
5/15/20 | \n", "84038 | \n", "
5/16/20 | \n", "84044 | \n", "
5/17/20 | \n", "84054 | \n", "
5/18/20 | \n", "84063 | \n", "
5/19/20 | \n", "84063 | \n", "
119 rows × 1 columns
\n", "\n", " | Province/State | \n", "Country/Region | \n", "Lat | \n", "Long | \n", "1/22/20 | \n", "1/23/20 | \n", "1/24/20 | \n", "1/25/20 | \n", "1/26/20 | \n", "1/27/20 | \n", "... | \n", "5/10/20 | \n", "5/11/20 | \n", "5/12/20 | \n", "5/13/20 | \n", "5/14/20 | \n", "5/15/20 | \n", "5/16/20 | \n", "5/17/20 | \n", "5/18/20 | \n", "5/19/20 | \n", "
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
166 | \n", "Aruba | \n", "Netherlands | \n", "12.5186 | \n", "-70.0358 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "... | \n", "101 | \n", "101 | \n", "101 | \n", "101 | \n", "101 | \n", "101 | \n", "101 | \n", "101 | \n", "101 | \n", "101 | \n", "
167 | \n", "Curacao | \n", "Netherlands | \n", "12.1696 | \n", "-68.9900 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "... | \n", "16 | \n", "16 | \n", "16 | \n", "16 | \n", "16 | \n", "16 | \n", "16 | \n", "16 | \n", "16 | \n", "16 | \n", "
168 | \n", "Sint Maarten | \n", "Netherlands | \n", "18.0425 | \n", "-63.0548 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "... | \n", "76 | \n", "76 | \n", "76 | \n", "76 | \n", "76 | \n", "76 | \n", "77 | \n", "77 | \n", "77 | \n", "77 | \n", "
169 | \n", "NaN | \n", "Netherlands | \n", "52.1326 | \n", "5.2913 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "... | \n", "42627 | \n", "42788 | \n", "42984 | \n", "43211 | \n", "43481 | \n", "43681 | \n", "43870 | \n", "43995 | \n", "44141 | \n", "44249 | \n", "
255 | \n", "Bonaire, Sint Eustatius and Saba | \n", "Netherlands | \n", "12.1784 | \n", "-68.2385 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "0 | \n", "... | \n", "6 | \n", "6 | \n", "6 | \n", "6 | \n", "6 | \n", "6 | \n", "6 | \n", "6 | \n", "6 | \n", "6 | \n", "
5 rows × 123 columns
\n", "\n", " | confirmed cases | \n", "
---|---|
2020-03-03 | \n", "165 | \n", "
2020-03-04 | \n", "222 | \n", "
2020-03-05 | \n", "259 | \n", "
2020-03-06 | \n", "400 | \n", "
2020-03-07 | \n", "500 | \n", "
2020-03-08 | \n", "673 | \n", "
2020-03-09 | \n", "1073 | \n", "
2020-03-10 | \n", "1695 | \n", "
2020-03-11 | \n", "2277 | \n", "
2020-03-12 | \n", "2277 | \n", "
2020-03-13 | \n", "5232 | \n", "
2020-03-14 | \n", "6391 | \n", "
2020-03-15 | \n", "7798 | \n", "
2020-03-16 | \n", "9942 | \n", "
2020-03-17 | \n", "11748 | \n", "
2020-03-18 | \n", "13910 | \n", "
2020-03-19 | \n", "17963 | \n", "
2020-03-20 | \n", "20410 | \n", "
2020-03-21 | \n", "25374 | \n", "
2020-03-22 | \n", "28768 | \n", "
2020-03-23 | \n", "35136 | \n", "
2020-03-24 | \n", "39885 | \n", "
2020-03-25 | \n", "49515 | \n", "
2020-03-26 | \n", "57786 | \n", "
2020-03-27 | \n", "65719 | \n", "
2020-03-28 | \n", "73235 | \n", "
2020-03-29 | \n", "80110 | \n", "
2020-03-30 | \n", "87956 | \n", "
2020-03-31 | \n", "95923 | \n", "
2020-04-01 | \n", "104118 | \n", "
... | \n", "... | \n", "
2020-04-20 | \n", "200210 | \n", "
2020-04-21 | \n", "204178 | \n", "
2020-04-22 | \n", "208389 | \n", "
2020-04-23 | \n", "213024 | \n", "
2020-04-24 | \n", "202990 | \n", "
2020-04-25 | \n", "205905 | \n", "
2020-04-26 | \n", "207634 | \n", "
2020-04-27 | \n", "209465 | \n", "
2020-04-28 | \n", "210773 | \n", "
2020-04-29 | \n", "212917 | \n", "
2020-04-30 | \n", "213435 | \n", "
2020-05-01 | \n", "215216 | \n", "
2020-05-02 | \n", "216582 | \n", "
2020-05-03 | \n", "217466 | \n", "
2020-05-04 | \n", "218011 | \n", "
2020-05-05 | \n", "219329 | \n", "
2020-05-06 | \n", "220325 | \n", "
2020-05-07 | \n", "221447 | \n", "
2020-05-08 | \n", "222857 | \n", "
2020-05-09 | \n", "223578 | \n", "
2020-05-10 | \n", "224350 | \n", "
2020-05-11 | \n", "227436 | \n", "
2020-05-12 | \n", "228030 | \n", "
2020-05-13 | \n", "228691 | \n", "
2020-05-14 | \n", "229540 | \n", "
2020-05-15 | \n", "230183 | \n", "
2020-05-16 | \n", "230698 | \n", "
2020-05-17 | \n", "230698 | \n", "
2020-05-18 | \n", "231606 | \n", "
2020-05-19 | \n", "232037 | \n", "
78 rows × 1 columns
\n", "\n", " | confirmed cases | \n", "
---|---|
2020-01-22 | \n", "548 | \n", "
2020-01-23 | \n", "643 | \n", "
2020-01-24 | \n", "920 | \n", "
2020-01-25 | \n", "1406 | \n", "
2020-01-26 | \n", "2075 | \n", "
2020-01-27 | \n", "2877 | \n", "
2020-01-28 | \n", "5509 | \n", "
2020-01-29 | \n", "6087 | \n", "
2020-01-30 | \n", "8141 | \n", "
2020-01-31 | \n", "9802 | \n", "
2020-02-01 | \n", "11891 | \n", "
2020-02-02 | \n", "16630 | \n", "
2020-02-03 | \n", "19716 | \n", "
2020-02-04 | \n", "23707 | \n", "
2020-02-05 | \n", "27440 | \n", "
2020-02-06 | \n", "30587 | \n", "
2020-02-07 | \n", "34110 | \n", "
2020-02-08 | \n", "36814 | \n", "
2020-02-09 | \n", "39829 | \n", "
2020-02-10 | \n", "42354 | \n", "
2020-02-11 | \n", "44386 | \n", "
2020-02-12 | \n", "44759 | \n", "
2020-02-13 | \n", "59895 | \n", "
2020-02-14 | \n", "66358 | \n", "
2020-02-15 | \n", "68413 | \n", "
2020-02-16 | \n", "70513 | \n", "
2020-02-17 | \n", "72434 | \n", "
2020-02-18 | \n", "74211 | \n", "
2020-02-19 | \n", "74619 | \n", "
2020-02-20 | \n", "75077 | \n", "
... | \n", "... | \n", "
2020-04-20 | \n", "83817 | \n", "
2020-04-21 | \n", "83853 | \n", "
2020-04-22 | \n", "83868 | \n", "
2020-04-23 | \n", "83884 | \n", "
2020-04-24 | \n", "83899 | \n", "
2020-04-25 | \n", "83909 | \n", "
2020-04-26 | \n", "83912 | \n", "
2020-04-27 | \n", "83918 | \n", "
2020-04-28 | \n", "83940 | \n", "
2020-04-29 | \n", "83944 | \n", "
2020-04-30 | \n", "83956 | \n", "
2020-05-01 | \n", "83959 | \n", "
2020-05-02 | \n", "83959 | \n", "
2020-05-03 | \n", "83964 | \n", "
2020-05-04 | \n", "83966 | \n", "
2020-05-05 | \n", "83968 | \n", "
2020-05-06 | \n", "83970 | \n", "
2020-05-07 | \n", "83975 | \n", "
2020-05-08 | \n", "83976 | \n", "
2020-05-09 | \n", "83990 | \n", "
2020-05-10 | \n", "84010 | \n", "
2020-05-11 | \n", "84011 | \n", "
2020-05-12 | \n", "84018 | \n", "
2020-05-13 | \n", "84024 | \n", "
2020-05-14 | \n", "84029 | \n", "
2020-05-15 | \n", "84038 | \n", "
2020-05-16 | \n", "84044 | \n", "
2020-05-17 | \n", "84054 | \n", "
2020-05-18 | \n", "84063 | \n", "
2020-05-19 | \n", "84063 | \n", "
119 rows × 1 columns
\n", "\n", " | Date_evenement | \n", "Zone | \n", "Communes_a_envoi_dematerialise_Deces2020 | \n", "Total_deces_2020 | \n", "Communes_a_envoi_dematerialise_Deces2019 | \n", "Total_deces_2019 | \n", "Communes_a_envoi_dematerialise_Deces2018 | \n", "Total_deces_2018 | \n", "
---|---|---|---|---|---|---|---|---|
0 | \n", "01/03/2020 | \n", "France | \n", "1625.0 | \n", "1777.0 | \n", "1708 | \n", "1872 | \n", "1928 | \n", "2136 | \n", "
1 | \n", "02/03/2020 | \n", "France | \n", "3263.0 | \n", "3555.0 | \n", "3467 | \n", "3782 | \n", "3933 | \n", "4327 | \n", "
2 | \n", "03/03/2020 | \n", "France | \n", "4891.0 | \n", "5316.0 | \n", "5035 | \n", "5530 | \n", "5881 | \n", "6455 | \n", "
3 | \n", "04/03/2020 | \n", "France | \n", "6571.0 | \n", "7121.0 | \n", "6747 | \n", "7410 | \n", "7768 | \n", "8545 | \n", "
4 | \n", "05/03/2020 | \n", "France | \n", "8197.0 | \n", "8891.0 | \n", "8455 | \n", "9278 | \n", "9769 | \n", "10746 | \n", "
5 | \n", "06/03/2020 | \n", "France | \n", "9896.0 | \n", "10731.0 | \n", "10178 | \n", "11148 | \n", "11731 | \n", "12904 | \n", "
6 | \n", "07/03/2020 | \n", "France | \n", "11435.0 | \n", "12416.0 | \n", "11857 | \n", "13007 | \n", "13615 | \n", "14959 | \n", "
7 | \n", "08/03/2020 | \n", "France | \n", "13005.0 | \n", "14122.0 | \n", "13513 | \n", "14808 | \n", "15542 | \n", "17066 | \n", "
8 | \n", "09/03/2020 | \n", "France | \n", "14674.0 | \n", "15939.0 | \n", "15131 | \n", "16581 | \n", "17429 | \n", "19115 | \n", "
9 | \n", "10/03/2020 | \n", "France | \n", "16328.0 | \n", "17761.0 | \n", "16653 | \n", "18248 | \n", "19324 | \n", "21201 | \n", "
10 | \n", "11/03/2020 | \n", "France | \n", "18079.0 | \n", "19655.0 | \n", "18276 | \n", "20014 | \n", "21082 | \n", "23143 | \n", "
11 | \n", "12/03/2020 | \n", "France | \n", "19721.0 | \n", "21448.0 | \n", "19863 | \n", "21720 | \n", "22937 | \n", "25190 | \n", "
12 | \n", "13/03/2020 | \n", "France | \n", "21366.0 | \n", "23225.0 | \n", "21392 | \n", "23411 | \n", "24732 | \n", "27170 | \n", "
13 | \n", "14/03/2020 | \n", "France | \n", "22998.0 | \n", "25001.0 | \n", "22950 | \n", "25129 | \n", "26482 | \n", "29097 | \n", "
14 | \n", "15/03/2020 | \n", "France | \n", "24680.0 | \n", "26845.0 | \n", "24540 | \n", "26875 | \n", "28213 | \n", "30995 | \n", "
15 | \n", "16/03/2020 | \n", "France | \n", "26494.0 | \n", "28830.0 | \n", "26100 | \n", "28595 | \n", "29960 | \n", "32902 | \n", "
16 | \n", "17/03/2020 | \n", "France | \n", "28380.0 | \n", "30870.0 | \n", "27583 | \n", "30230 | \n", "31630 | \n", "34742 | \n", "
17 | \n", "18/03/2020 | \n", "France | \n", "30216.0 | \n", "32874.0 | \n", "29195 | \n", "31987 | \n", "33235 | \n", "36533 | \n", "
18 | \n", "19/03/2020 | \n", "France | \n", "32163.0 | \n", "34985.0 | \n", "30727 | \n", "33671 | \n", "34895 | \n", "38356 | \n", "
19 | \n", "20/03/2020 | \n", "France | \n", "34051.0 | \n", "37019.0 | \n", "32230 | \n", "35332 | \n", "36528 | \n", "40147 | \n", "
20 | \n", "21/03/2020 | \n", "France | \n", "35845.0 | \n", "38948.0 | \n", "33787 | \n", "37033 | \n", "38268 | \n", "42049 | \n", "
21 | \n", "22/03/2020 | \n", "France | \n", "37689.0 | \n", "40953.0 | \n", "35336 | \n", "38721 | \n", "40020 | \n", "43941 | \n", "
22 | \n", "23/03/2020 | \n", "France | \n", "39673.0 | \n", "43110.0 | \n", "36900 | \n", "40419 | \n", "41678 | \n", "45767 | \n", "
23 | \n", "24/03/2020 | \n", "France | \n", "41700.0 | \n", "45270.0 | \n", "38403 | \n", "42047 | \n", "43386 | \n", "47652 | \n", "
24 | \n", "25/03/2020 | \n", "France | \n", "43845.0 | \n", "47593.0 | \n", "39927 | \n", "43712 | \n", "45036 | \n", "49469 | \n", "
25 | \n", "26/03/2020 | \n", "France | \n", "46063.0 | \n", "49967.0 | \n", "41419 | \n", "45337 | \n", "46729 | \n", "51322 | \n", "
26 | \n", "27/03/2020 | \n", "France | \n", "48294.0 | \n", "52378.0 | \n", "42964 | \n", "47023 | \n", "48440 | \n", "53182 | \n", "
27 | \n", "28/03/2020 | \n", "France | \n", "50599.0 | \n", "54891.0 | \n", "44512 | \n", "48713 | \n", "50090 | \n", "55009 | \n", "
28 | \n", "29/03/2020 | \n", "France | \n", "52790.0 | \n", "57263.0 | \n", "46010 | \n", "50376 | \n", "51727 | \n", "56836 | \n", "
29 | \n", "30/03/2020 | \n", "France | \n", "55268.0 | \n", "59933.0 | \n", "47485 | \n", "52013 | \n", "53364 | \n", "58641 | \n", "
... | \n", "... | \n", "... | \n", "... | \n", "... | \n", "... | \n", "... | \n", "... | \n", "... | \n", "
9354 | \n", "02/05/2020 | \n", "Dept_976 | \n", "186.0 | \n", "186.0 | \n", "150 | \n", "150 | \n", "115 | \n", "115 | \n", "
9355 | \n", "03/05/2020 | \n", "Dept_976 | \n", "192.0 | \n", "192.0 | \n", "153 | \n", "153 | \n", "116 | \n", "116 | \n", "
9356 | \n", "04/05/2020 | \n", "Dept_976 | \n", "196.0 | \n", "196.0 | \n", "158 | \n", "158 | \n", "118 | \n", "118 | \n", "
9357 | \n", "05/05/2020 | \n", "Dept_976 | \n", "199.0 | \n", "NaN | \n", "163 | \n", "163 | \n", "121 | \n", "121 | \n", "
9358 | \n", "06/05/2020 | \n", "Dept_976 | \n", "199.0 | \n", "NaN | \n", "163 | \n", "163 | \n", "123 | \n", "123 | \n", "
9359 | \n", "07/05/2020 | \n", "Dept_976 | \n", "201.0 | \n", "NaN | \n", "167 | \n", "167 | \n", "124 | \n", "124 | \n", "
9360 | \n", "08/05/2020 | \n", "Dept_976 | \n", "202.0 | \n", "NaN | \n", "168 | \n", "168 | \n", "125 | \n", "125 | \n", "
9361 | \n", "09/05/2020 | \n", "Dept_976 | \n", "NaN | \n", "NaN | \n", "173 | \n", "173 | \n", "129 | \n", "129 | \n", "
9362 | \n", "10/05/2020 | \n", "Dept_976 | \n", "NaN | \n", "NaN | \n", "177 | \n", "177 | \n", "132 | \n", "132 | \n", "
9363 | \n", "11/05/2020 | \n", "Dept_976 | \n", "NaN | \n", "NaN | \n", "178 | \n", "178 | \n", "134 | \n", "134 | \n", "
9364 | \n", "12/05/2020 | \n", "Dept_976 | \n", "NaN | \n", "NaN | \n", "182 | \n", "182 | \n", "136 | \n", "136 | \n", "
9365 | \n", "13/05/2020 | \n", "Dept_976 | \n", "NaN | \n", "NaN | \n", "183 | \n", "183 | \n", "138 | \n", "138 | \n", "
9366 | \n", "14/05/2020 | \n", "Dept_976 | \n", "NaN | \n", "NaN | \n", "184 | \n", "184 | \n", "140 | \n", "140 | \n", "
9367 | \n", "15/05/2020 | \n", "Dept_976 | \n", "NaN | \n", "NaN | \n", "184 | \n", "184 | \n", "141 | \n", "141 | \n", "
9368 | \n", "16/05/2020 | \n", "Dept_976 | \n", "NaN | \n", "NaN | \n", "187 | \n", "187 | \n", "142 | \n", "142 | \n", "
9369 | \n", "17/05/2020 | \n", "Dept_976 | \n", "NaN | \n", "NaN | \n", "188 | \n", "188 | \n", "143 | \n", "143 | \n", "
9370 | \n", "18/05/2020 | \n", "Dept_976 | \n", "NaN | \n", "NaN | \n", "190 | \n", "190 | \n", "143 | \n", "143 | \n", "
9371 | \n", "19/05/2020 | \n", "Dept_976 | \n", "NaN | \n", "NaN | \n", "190 | \n", "190 | \n", "145 | \n", "145 | \n", "
9372 | \n", "20/05/2020 | \n", "Dept_976 | \n", "NaN | \n", "NaN | \n", "191 | \n", "191 | \n", "145 | \n", "145 | \n", "
9373 | \n", "21/05/2020 | \n", "Dept_976 | \n", "NaN | \n", "NaN | \n", "193 | \n", "193 | \n", "147 | \n", "147 | \n", "
9374 | \n", "22/05/2020 | \n", "Dept_976 | \n", "NaN | \n", "NaN | \n", "195 | \n", "195 | \n", "149 | \n", "149 | \n", "
9375 | \n", "23/05/2020 | \n", "Dept_976 | \n", "NaN | \n", "NaN | \n", "196 | \n", "196 | \n", "152 | \n", "152 | \n", "
9376 | \n", "24/05/2020 | \n", "Dept_976 | \n", "NaN | \n", "NaN | \n", "199 | \n", "199 | \n", "154 | \n", "154 | \n", "
9377 | \n", "25/05/2020 | \n", "Dept_976 | \n", "NaN | \n", "NaN | \n", "202 | \n", "202 | \n", "158 | \n", "158 | \n", "
9378 | \n", "26/05/2020 | \n", "Dept_976 | \n", "NaN | \n", "NaN | \n", "202 | \n", "202 | \n", "160 | \n", "160 | \n", "
9379 | \n", "27/05/2020 | \n", "Dept_976 | \n", "NaN | \n", "NaN | \n", "203 | \n", "203 | \n", "160 | \n", "160 | \n", "
9380 | \n", "28/05/2020 | \n", "Dept_976 | \n", "NaN | \n", "NaN | \n", "207 | \n", "207 | \n", "164 | \n", "164 | \n", "
9381 | \n", "29/05/2020 | \n", "Dept_976 | \n", "NaN | \n", "NaN | \n", "208 | \n", "208 | \n", "166 | \n", "166 | \n", "
9382 | \n", "30/05/2020 | \n", "Dept_976 | \n", "NaN | \n", "NaN | \n", "208 | \n", "208 | \n", "167 | \n", "167 | \n", "
9383 | \n", "31/05/2020 | \n", "Dept_976 | \n", "NaN | \n", "NaN | \n", "209 | \n", "209 | \n", "168 | \n", "168 | \n", "
9384 rows × 8 columns
\n", "\n", " | Zone | \n", "Communes_a_envoi_dematerialise_Deces2020 | \n", "Total_deces_2020 | \n", "Communes_a_envoi_dematerialise_Deces2019 | \n", "Total_deces_2019 | \n", "Communes_a_envoi_dematerialise_Deces2018 | \n", "Total_deces_2018 | \n", "
---|---|---|---|---|---|---|---|
Date_evenement | \n", "\n", " | \n", " | \n", " | \n", " | \n", " | \n", " | \n", " |
2020-03-01 | \n", "France | \n", "1625.0 | \n", "1777.0 | \n", "1708 | \n", "1872 | \n", "1928 | \n", "2136 | \n", "
2020-03-02 | \n", "France | \n", "3263.0 | \n", "3555.0 | \n", "3467 | \n", "3782 | \n", "3933 | \n", "4327 | \n", "
2020-03-03 | \n", "France | \n", "4891.0 | \n", "5316.0 | \n", "5035 | \n", "5530 | \n", "5881 | \n", "6455 | \n", "
2020-03-04 | \n", "France | \n", "6571.0 | \n", "7121.0 | \n", "6747 | \n", "7410 | \n", "7768 | \n", "8545 | \n", "
2020-03-05 | \n", "France | \n", "8197.0 | \n", "8891.0 | \n", "8455 | \n", "9278 | \n", "9769 | \n", "10746 | \n", "
2020-03-06 | \n", "France | \n", "9896.0 | \n", "10731.0 | \n", "10178 | \n", "11148 | \n", "11731 | \n", "12904 | \n", "
2020-03-07 | \n", "France | \n", "11435.0 | \n", "12416.0 | \n", "11857 | \n", "13007 | \n", "13615 | \n", "14959 | \n", "
2020-03-08 | \n", "France | \n", "13005.0 | \n", "14122.0 | \n", "13513 | \n", "14808 | \n", "15542 | \n", "17066 | \n", "
2020-03-09 | \n", "France | \n", "14674.0 | \n", "15939.0 | \n", "15131 | \n", "16581 | \n", "17429 | \n", "19115 | \n", "
2020-03-10 | \n", "France | \n", "16328.0 | \n", "17761.0 | \n", "16653 | \n", "18248 | \n", "19324 | \n", "21201 | \n", "
2020-03-11 | \n", "France | \n", "18079.0 | \n", "19655.0 | \n", "18276 | \n", "20014 | \n", "21082 | \n", "23143 | \n", "
2020-03-12 | \n", "France | \n", "19721.0 | \n", "21448.0 | \n", "19863 | \n", "21720 | \n", "22937 | \n", "25190 | \n", "
2020-03-13 | \n", "France | \n", "21366.0 | \n", "23225.0 | \n", "21392 | \n", "23411 | \n", "24732 | \n", "27170 | \n", "
2020-03-14 | \n", "France | \n", "22998.0 | \n", "25001.0 | \n", "22950 | \n", "25129 | \n", "26482 | \n", "29097 | \n", "
2020-03-15 | \n", "France | \n", "24680.0 | \n", "26845.0 | \n", "24540 | \n", "26875 | \n", "28213 | \n", "30995 | \n", "
2020-03-16 | \n", "France | \n", "26494.0 | \n", "28830.0 | \n", "26100 | \n", "28595 | \n", "29960 | \n", "32902 | \n", "
2020-03-17 | \n", "France | \n", "28380.0 | \n", "30870.0 | \n", "27583 | \n", "30230 | \n", "31630 | \n", "34742 | \n", "
2020-03-18 | \n", "France | \n", "30216.0 | \n", "32874.0 | \n", "29195 | \n", "31987 | \n", "33235 | \n", "36533 | \n", "
2020-03-19 | \n", "France | \n", "32163.0 | \n", "34985.0 | \n", "30727 | \n", "33671 | \n", "34895 | \n", "38356 | \n", "
2020-03-20 | \n", "France | \n", "34051.0 | \n", "37019.0 | \n", "32230 | \n", "35332 | \n", "36528 | \n", "40147 | \n", "
2020-03-21 | \n", "France | \n", "35845.0 | \n", "38948.0 | \n", "33787 | \n", "37033 | \n", "38268 | \n", "42049 | \n", "
2020-03-22 | \n", "France | \n", "37689.0 | \n", "40953.0 | \n", "35336 | \n", "38721 | \n", "40020 | \n", "43941 | \n", "
2020-03-23 | \n", "France | \n", "39673.0 | \n", "43110.0 | \n", "36900 | \n", "40419 | \n", "41678 | \n", "45767 | \n", "
2020-03-24 | \n", "France | \n", "41700.0 | \n", "45270.0 | \n", "38403 | \n", "42047 | \n", "43386 | \n", "47652 | \n", "
2020-03-25 | \n", "France | \n", "43845.0 | \n", "47593.0 | \n", "39927 | \n", "43712 | \n", "45036 | \n", "49469 | \n", "
2020-03-26 | \n", "France | \n", "46063.0 | \n", "49967.0 | \n", "41419 | \n", "45337 | \n", "46729 | \n", "51322 | \n", "
2020-03-27 | \n", "France | \n", "48294.0 | \n", "52378.0 | \n", "42964 | \n", "47023 | \n", "48440 | \n", "53182 | \n", "
2020-03-28 | \n", "France | \n", "50599.0 | \n", "54891.0 | \n", "44512 | \n", "48713 | \n", "50090 | \n", "55009 | \n", "
2020-03-29 | \n", "France | \n", "52790.0 | \n", "57263.0 | \n", "46010 | \n", "50376 | \n", "51727 | \n", "56836 | \n", "
2020-03-30 | \n", "France | \n", "55268.0 | \n", "59933.0 | \n", "47485 | \n", "52013 | \n", "53364 | \n", "58641 | \n", "
... | \n", "... | \n", "... | \n", "... | \n", "... | \n", "... | \n", "... | \n", "... | \n", "
2020-05-02 | \n", "France | \n", "120794.0 | \n", "130783.0 | \n", "96946 | \n", "106086 | \n", "103680 | \n", "113907 | \n", "
2020-05-03 | \n", "France | \n", "122155.0 | \n", "132190.0 | \n", "98387 | \n", "107678 | \n", "105018 | \n", "115377 | \n", "
2020-05-04 | \n", "France | \n", "123581.0 | \n", "133678.0 | \n", "99839 | \n", "109265 | \n", "106529 | \n", "117018 | \n", "
2020-05-05 | \n", "France | \n", "124956.0 | \n", "NaN | \n", "101228 | \n", "110774 | \n", "107994 | \n", "118621 | \n", "
2020-05-06 | \n", "France | \n", "126284.0 | \n", "NaN | \n", "102760 | \n", "112457 | \n", "109425 | \n", "120200 | \n", "
2020-05-07 | \n", "France | \n", "127529.0 | \n", "NaN | \n", "104247 | \n", "114095 | \n", "110894 | \n", "121789 | \n", "
2020-05-08 | \n", "France | \n", "128694.0 | \n", "NaN | \n", "105725 | \n", "115692 | \n", "112306 | \n", "123341 | \n", "
2020-05-09 | \n", "France | \n", "NaN | \n", "NaN | \n", "107189 | \n", "117285 | \n", "113723 | \n", "124871 | \n", "
2020-05-10 | \n", "France | \n", "NaN | \n", "NaN | \n", "108697 | \n", "118953 | \n", "115044 | \n", "126306 | \n", "
2020-05-11 | \n", "France | \n", "NaN | \n", "NaN | \n", "110081 | \n", "120476 | \n", "116489 | \n", "127877 | \n", "
2020-05-12 | \n", "France | \n", "NaN | \n", "NaN | \n", "111530 | \n", "122044 | \n", "117858 | \n", "129389 | \n", "
2020-05-13 | \n", "France | \n", "NaN | \n", "NaN | \n", "112947 | \n", "123581 | \n", "119141 | \n", "130783 | \n", "
2020-05-14 | \n", "France | \n", "NaN | \n", "NaN | \n", "114413 | \n", "125187 | \n", "120483 | \n", "132258 | \n", "
2020-05-15 | \n", "France | \n", "NaN | \n", "NaN | \n", "115893 | \n", "126805 | \n", "121839 | \n", "133745 | \n", "
2020-05-16 | \n", "France | \n", "NaN | \n", "NaN | \n", "117350 | \n", "128418 | \n", "123248 | \n", "135285 | \n", "
2020-05-17 | \n", "France | \n", "NaN | \n", "NaN | \n", "118840 | \n", "130046 | \n", "124681 | \n", "136836 | \n", "
2020-05-18 | \n", "France | \n", "NaN | \n", "NaN | \n", "120350 | \n", "131677 | \n", "126118 | \n", "138411 | \n", "
2020-05-19 | \n", "France | \n", "NaN | \n", "NaN | \n", "121778 | \n", "133247 | \n", "127492 | \n", "139930 | \n", "
2020-05-20 | \n", "France | \n", "NaN | \n", "NaN | \n", "123275 | \n", "134892 | \n", "128880 | \n", "141463 | \n", "
2020-05-21 | \n", "France | \n", "NaN | \n", "NaN | \n", "124722 | \n", "136475 | \n", "130294 | \n", "143016 | \n", "
2020-05-22 | \n", "France | \n", "NaN | \n", "NaN | \n", "126155 | \n", "138031 | \n", "131689 | \n", "144555 | \n", "
2020-05-23 | \n", "France | \n", "NaN | \n", "NaN | \n", "127666 | \n", "139689 | \n", "133175 | \n", "146163 | \n", "
2020-05-24 | \n", "France | \n", "NaN | \n", "NaN | \n", "129195 | \n", "141337 | \n", "134646 | \n", "147752 | \n", "
2020-05-25 | \n", "France | \n", "NaN | \n", "NaN | \n", "130585 | \n", "142844 | \n", "136063 | \n", "149316 | \n", "
2020-05-26 | \n", "France | \n", "NaN | \n", "NaN | \n", "131921 | \n", "144307 | \n", "137515 | \n", "150918 | \n", "
2020-05-27 | \n", "France | \n", "NaN | \n", "NaN | \n", "133331 | \n", "145851 | \n", "138955 | \n", "152488 | \n", "
2020-05-28 | \n", "France | \n", "NaN | \n", "NaN | \n", "134754 | \n", "147385 | \n", "140414 | \n", "154090 | \n", "
2020-05-29 | \n", "France | \n", "NaN | \n", "NaN | \n", "136128 | \n", "148877 | \n", "141859 | \n", "155663 | \n", "
2020-05-30 | \n", "France | \n", "NaN | \n", "NaN | \n", "137459 | \n", "150329 | \n", "143276 | \n", "157215 | \n", "
2020-05-31 | \n", "France | \n", "NaN | \n", "NaN | \n", "138883 | \n", "151885 | \n", "144638 | \n", "158700 | \n", "
92 rows × 7 columns
\n", "