{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Ecrire un document computationnel autour du SARS-CoV-2 (Covid-19)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## I. Contexte" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Le but de cet exercice est d'écrire un document computationnel autour du SARS-CoV-2 (Covid-19). Il faut réaliser une représentaion graphique semblable à celles du [South China Morning Post](https://www.scmp.com/) concernant le nombre total de cas de personne atteintes de la maladie du Covid-19 par pays.\n", "Nous nous concentrons sur les données disponibles à cette [adresse](https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv).\n", "\n", "Dans notre cas nous regarderons les données des pays suivants : la Belgique (Belgium), la Chine - toutes les provinces sauf Hong-Kong (China), Hong Kong (China, Hong-Kong), la France métropolitaine (France), l’Allemagne (Germany), l’Iran (Iran), l’Italie (Italy), le Japon (Japan), la Corée du Sud (Korea, South), la Hollande sans les colonies (Netherlands), le Portugal (Portugal), l’Espagne (Spain), le Royaume-Unis sans les colonies (United Kingdom), les États-Unis (US)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## II. Exploitation des données" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Afin de pouvoir traité ces données en python, il est nécessaire d'importer les bibliothèques python suivantes." ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "hideCode": false, "hidePrompt": false }, "outputs": [], "source": [ "%matplotlib inline\n", "import matplotlib.pyplot as plt\n", "import pandas as pd\n", "import isoweek" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Pour ne pas avoir de problème de modification de données entre temps j'enregistre les données localement. Ces données n'évolueront donc pas ce qui évitera des problèmes par la suite. En revanche, la date la plus récentes est le 14/10/2022, date de la sauvegarde local." ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "hideCode": false, "hidePrompt": false }, "outputs": [], "source": [ "# data_url = \"https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv\"\n", "data_url = \"Données Covid 19.csv\"" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "hideCode": false, "hidePrompt": false }, "outputs": [], "source": [ "data_raw = pd.read_csv(data_url)" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "hideCode": false, "hidePrompt": false, "scrolled": true }, "outputs": [ { "data": { "text/html": [ "
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Province/StateCountry/RegionLatLong1/22/201/23/201/24/201/25/201/26/201/27/20...10/5/2210/6/2210/7/2210/8/2210/9/2210/10/2210/11/2210/12/2210/13/2210/14/22
0NaNAfghanistan33.93911067.709953000000...199845199994200130200202200372200469200626200729200846201014
1NaNAlbania41.15330020.168300000000...332372332410332443332472332494332503332534332555332579332598
2NaNAlgeria28.0339001.659600000000...270693270697270701270701270707270713270716270722270722270734
3NaNAndorra42.5063001.521800000000...46227462754627546275462754627546275463664636646366
4NaNAngola-11.20270017.873900000000...103131103131103131103131103131103131103131103131103131103131
5NaNAntarctica-71.94990023.347000000000...11111111111111111111
6NaNAntigua and Barbuda17.060800-61.796400000000...9098909890989098909890989098910691069106
7NaNArgentina-38.416100-63.616700000000...9711355971135597113559711355971359497135949713594971359497135949713594
8NaNArmenia40.06910045.038200000000...443785443785443785443785443785444482444482444482444482444482
9Australian Capital TerritoryAustralia-35.473500149.012400000000...205752205752206285206285206285206285206285206285206938206938
10New South WalesAustralia-33.868800151.209300000034...3507880351863335186333518633351863335186333518633351863335304433530443
11Northern TerritoryAustralia-12.463400130.845600000000...97483977119771197711977119771197711977119795897958
12QueenslandAustralia-27.469800153.025100000000...1641389164935916493591649359164935916493591649359164935916564231655265
13South AustraliaAustralia-34.928500138.600700000000...768961771681771681771681771681771681771681771681771681772083
14TasmaniaAustralia-42.882100147.327200000000...249621250332250332250332250332250332250332250332250332251023
15VictoriaAustralia-37.813600144.963100000011...2620352262243626224192623238262427726255692626888262812526303602631296
16Western AustraliaAustralia-31.950500115.860500000000...1154732115926111592611159261115926111592611159261115926111640981164098
17NaNAustria47.51620014.550100000000...5195408521028552262195239883525205852607625273660529212553063725319474
18NaNAzerbaijan40.14310047.576900000000...821865821937822027822104822171822186822278822346822427822485
19NaNBahamas25.025885-78.035889000000...37309373093730937309373183731837318373183731837318
20NaNBahrain26.02750050.550000000000...682470682816683047683242683482683773684229684545684832685067
21NaNBangladesh23.68500090.356300000000...2028114202852420290152029314202972320300902030550203100620314512031797
22NaNBarbados13.193900-59.543200000000...102580102580102580102580102580102580102580102609102609102609
23NaNBelarus53.70980027.953400000000...994037994037994037994037994037994037994037994037994037994037
24NaNBelgium50.8333004.469936000000...4553333456620745662074566207456620745755194575519457551945865644586564
25NaNBelize17.189900-88.497600000000...68884688846888468884688846888468909689096890968909
26NaNBenin9.3077002.315800000000...27782277822778227782277822778227782277822778227782
27NaNBhutan27.51420090.433600000000...62095620956209562095620956220062200622006220062200
28NaNBolivia-16.290200-63.588700000000...1108472110859511085951108648110870211087021108768110881811088651108903
29NaNBosnia and Herzegovina43.91590017.679100000000...398796399036399071399071399071399184399227399298399346399410
..................................................................
259NaNTuvalu-7.109500177.649300000000...20202020202020202020
260NaNUS40.000000-100.000000112255...96570266966309479668923596696906967019589672398896783524968479919691205496940217
261NaNUganda1.37333332.290275000000...169396169396169396169396169396169396169396169396169396169396
262NaNUkraine48.37940031.165600000000...5479206547938754795985479793547993854800985480251548039254804955480652
263NaNUnited Arab Emirates23.42407653.847818000000...1029426102980310301461030478103083710311791031500103183710321771032522
264AnguillaUnited Kingdom18.220600-63.068600000000...3866386638663866386638663866386638663866
265BermudaUnited Kingdom32.307800-64.750500000000...18220182201822018220182201822018220182201822018220
266British Virgin IslandsUnited Kingdom18.420700-64.640000000000...7305730573057305730573057305730573057305
267Cayman IslandsUnited Kingdom19.313300-81.254600000000...30809308093080930809308093080930809308093080930809
268Channel IslandsUnited Kingdom49.372300-2.364400000000...0000000000
269Falkland Islands (Malvinas)United Kingdom-51.796300-59.523600000000...1930193019301930193019301930193019301930
270GibraltarUnited Kingdom36.140800-5.353600000000...20095200952009520095200952009520095200952012120121
271GuernseyUnited Kingdom49.448196-2.589490000000...31309313093154531545315453154531545318363183631836
272Isle of ManUnited Kingdom54.236100-4.548100000000...38008380083800838008380083800838008380083800838008
273JerseyUnited Kingdom49.213800-2.135800000000...60252602526064660646606466064660646606466064661048
274MontserratUnited Kingdom16.742498-62.187366000000...1403140314031403140314031403140314031403
275Pitcairn IslandsUnited Kingdom-24.376800-128.324200000000...4444444444
276Saint Helena, Ascension and Tristan da CunhaUnited Kingdom-7.946700-14.355900000000...1826182618261826182618261973197319731973
277Turks and Caicos IslandsUnited Kingdom21.694000-71.797900000000...6380638063806380638063806380638063806380
278NaNUnited Kingdom55.378100-3.436000000000...23672852237352732373527323735273237352732373527323735273237352732379879323798793
279NaNUruguay-32.522800-55.765800000000...986446986446986446986446986446986446987563987563987563987563
280NaNUzbekistan41.37749164.585262000000...244275244285244296244296244296244334244337244350244361244382
281NaNVanuatu-15.376700166.959200000000...11974119741197411974119741197611976119761197611976
282NaNVenezuela6.423800-66.589700000000...544907544921544921544950544950544964544966545013545159545193
283NaNVietnam14.058324108.277199022222...11483529114846591148536111486043114864141148745911488685114898811149095111491541
284NaNWest Bank and Gaza31.95220035.233200000000...702804702804702804702804702804702804702804702804702804702804
285NaNWinter Olympics 202239.904200116.407400000000...535535535535535535535535535535
286NaNYemen15.55272748.516388000000...11939119391193911939119391193911939119391193911939
287NaNZambia-13.13389727.849332000000...333555333555333555333555333555333624333624333624333624333624
288NaNZimbabwe-19.01543829.154857000000...257568257655257655257655257655257749257749257798257827257827
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289 rows × 1001 columns

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" ], "text/plain": [ " Province/State Country/Region \\\n", "0 NaN Afghanistan \n", "1 NaN Albania \n", "2 NaN Algeria \n", "3 NaN Andorra \n", "4 NaN Angola \n", "5 NaN Antarctica \n", "6 NaN Antigua and Barbuda \n", "7 NaN Argentina \n", "8 NaN Armenia \n", "9 Australian Capital Territory Australia \n", "10 New South Wales Australia \n", "11 Northern Territory Australia \n", "12 Queensland Australia \n", "13 South Australia Australia \n", "14 Tasmania Australia \n", "15 Victoria Australia \n", "16 Western Australia Australia \n", "17 NaN Austria \n", "18 NaN Azerbaijan \n", "19 NaN Bahamas \n", "20 NaN Bahrain \n", "21 NaN Bangladesh \n", "22 NaN Barbados \n", "23 NaN Belarus \n", "24 NaN Belgium \n", "25 NaN Belize \n", "26 NaN Benin \n", "27 NaN Bhutan \n", "28 NaN Bolivia \n", "29 NaN Bosnia and Herzegovina \n", ".. ... ... \n", "259 NaN Tuvalu \n", "260 NaN US \n", "261 NaN Uganda \n", "262 NaN Ukraine \n", "263 NaN United Arab Emirates \n", "264 Anguilla United Kingdom \n", "265 Bermuda United Kingdom \n", "266 British Virgin Islands United Kingdom \n", "267 Cayman Islands United Kingdom \n", "268 Channel Islands United Kingdom \n", "269 Falkland Islands (Malvinas) United Kingdom \n", "270 Gibraltar United Kingdom \n", "271 Guernsey United Kingdom \n", "272 Isle of Man United Kingdom \n", "273 Jersey United Kingdom \n", "274 Montserrat United Kingdom \n", "275 Pitcairn Islands United Kingdom \n", "276 Saint Helena, Ascension and Tristan da Cunha United Kingdom \n", "277 Turks and Caicos Islands United Kingdom \n", "278 NaN United Kingdom \n", "279 NaN Uruguay \n", "280 NaN Uzbekistan \n", "281 NaN Vanuatu \n", "282 NaN Venezuela \n", "283 NaN Vietnam \n", "284 NaN West Bank and Gaza \n", "285 NaN Winter Olympics 2022 \n", "286 NaN Yemen \n", "287 NaN Zambia \n", "288 NaN Zimbabwe \n", "\n", " Lat Long 1/22/20 1/23/20 1/24/20 1/25/20 1/26/20 \\\n", "0 33.939110 67.709953 0 0 0 0 0 \n", "1 41.153300 20.168300 0 0 0 0 0 \n", "2 28.033900 1.659600 0 0 0 0 0 \n", "3 42.506300 1.521800 0 0 0 0 0 \n", "4 -11.202700 17.873900 0 0 0 0 0 \n", "5 -71.949900 23.347000 0 0 0 0 0 \n", "6 17.060800 -61.796400 0 0 0 0 0 \n", "7 -38.416100 -63.616700 0 0 0 0 0 \n", "8 40.069100 45.038200 0 0 0 0 0 \n", "9 -35.473500 149.012400 0 0 0 0 0 \n", "10 -33.868800 151.209300 0 0 0 0 3 \n", "11 -12.463400 130.845600 0 0 0 0 0 \n", "12 -27.469800 153.025100 0 0 0 0 0 \n", "13 -34.928500 138.600700 0 0 0 0 0 \n", "14 -42.882100 147.327200 0 0 0 0 0 \n", "15 -37.813600 144.963100 0 0 0 0 1 \n", "16 -31.950500 115.860500 0 0 0 0 0 \n", "17 47.516200 14.550100 0 0 0 0 0 \n", "18 40.143100 47.576900 0 0 0 0 0 \n", "19 25.025885 -78.035889 0 0 0 0 0 \n", "20 26.027500 50.550000 0 0 0 0 0 \n", "21 23.685000 90.356300 0 0 0 0 0 \n", "22 13.193900 -59.543200 0 0 0 0 0 \n", "23 53.709800 27.953400 0 0 0 0 0 \n", "24 50.833300 4.469936 0 0 0 0 0 \n", "25 17.189900 -88.497600 0 0 0 0 0 \n", "26 9.307700 2.315800 0 0 0 0 0 \n", "27 27.514200 90.433600 0 0 0 0 0 \n", "28 -16.290200 -63.588700 0 0 0 0 0 \n", "29 43.915900 17.679100 0 0 0 0 0 \n", ".. ... ... ... ... ... ... ... \n", "259 -7.109500 177.649300 0 0 0 0 0 \n", "260 40.000000 -100.000000 1 1 2 2 5 \n", "261 1.373333 32.290275 0 0 0 0 0 \n", "262 48.379400 31.165600 0 0 0 0 0 \n", "263 23.424076 53.847818 0 0 0 0 0 \n", "264 18.220600 -63.068600 0 0 0 0 0 \n", "265 32.307800 -64.750500 0 0 0 0 0 \n", "266 18.420700 -64.640000 0 0 0 0 0 \n", "267 19.313300 -81.254600 0 0 0 0 0 \n", "268 49.372300 -2.364400 0 0 0 0 0 \n", "269 -51.796300 -59.523600 0 0 0 0 0 \n", "270 36.140800 -5.353600 0 0 0 0 0 \n", "271 49.448196 -2.589490 0 0 0 0 0 \n", "272 54.236100 -4.548100 0 0 0 0 0 \n", "273 49.213800 -2.135800 0 0 0 0 0 \n", "274 16.742498 -62.187366 0 0 0 0 0 \n", "275 -24.376800 -128.324200 0 0 0 0 0 \n", "276 -7.946700 -14.355900 0 0 0 0 0 \n", "277 21.694000 -71.797900 0 0 0 0 0 \n", "278 55.378100 -3.436000 0 0 0 0 0 \n", "279 -32.522800 -55.765800 0 0 0 0 0 \n", "280 41.377491 64.585262 0 0 0 0 0 \n", "281 -15.376700 166.959200 0 0 0 0 0 \n", "282 6.423800 -66.589700 0 0 0 0 0 \n", "283 14.058324 108.277199 0 2 2 2 2 \n", "284 31.952200 35.233200 0 0 0 0 0 \n", "285 39.904200 116.407400 0 0 0 0 0 \n", "286 15.552727 48.516388 0 0 0 0 0 \n", "287 -13.133897 27.849332 0 0 0 0 0 \n", "288 -19.015438 29.154857 0 0 0 0 0 \n", "\n", " 1/27/20 ... 10/5/22 10/6/22 10/7/22 10/8/22 10/9/22 \\\n", "0 0 ... 199845 199994 200130 200202 200372 \n", "1 0 ... 332372 332410 332443 332472 332494 \n", "2 0 ... 270693 270697 270701 270701 270707 \n", "3 0 ... 46227 46275 46275 46275 46275 \n", "4 0 ... 103131 103131 103131 103131 103131 \n", "5 0 ... 11 11 11 11 11 \n", "6 0 ... 9098 9098 9098 9098 9098 \n", "7 0 ... 9711355 9711355 9711355 9711355 9713594 \n", "8 0 ... 443785 443785 443785 443785 443785 \n", "9 0 ... 205752 205752 206285 206285 206285 \n", "10 4 ... 3507880 3518633 3518633 3518633 3518633 \n", "11 0 ... 97483 97711 97711 97711 97711 \n", "12 0 ... 1641389 1649359 1649359 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96701958 \n", "261 0 ... 169396 169396 169396 169396 169396 \n", "262 0 ... 5479206 5479387 5479598 5479793 5479938 \n", "263 0 ... 1029426 1029803 1030146 1030478 1030837 \n", "264 0 ... 3866 3866 3866 3866 3866 \n", "265 0 ... 18220 18220 18220 18220 18220 \n", "266 0 ... 7305 7305 7305 7305 7305 \n", "267 0 ... 30809 30809 30809 30809 30809 \n", "268 0 ... 0 0 0 0 0 \n", "269 0 ... 1930 1930 1930 1930 1930 \n", "270 0 ... 20095 20095 20095 20095 20095 \n", "271 0 ... 31309 31309 31545 31545 31545 \n", "272 0 ... 38008 38008 38008 38008 38008 \n", "273 0 ... 60252 60252 60646 60646 60646 \n", "274 0 ... 1403 1403 1403 1403 1403 \n", "275 0 ... 4 4 4 4 4 \n", "276 0 ... 1826 1826 1826 1826 1826 \n", "277 0 ... 6380 6380 6380 6380 6380 \n", "278 0 ... 23672852 23735273 23735273 23735273 23735273 \n", "279 0 ... 986446 986446 986446 986446 986446 \n", "280 0 ... 244275 244285 244296 244296 244296 \n", "281 0 ... 11974 11974 11974 11974 11974 \n", "282 0 ... 544907 544921 544921 544950 544950 \n", "283 2 ... 11483529 11484659 11485361 11486043 11486414 \n", "284 0 ... 702804 702804 702804 702804 702804 \n", "285 0 ... 535 535 535 535 535 \n", "286 0 ... 11939 11939 11939 11939 11939 \n", "287 0 ... 333555 333555 333555 333555 333555 \n", "288 0 ... 257568 257655 257655 257655 257655 \n", "\n", " 10/10/22 10/11/22 10/12/22 10/13/22 10/14/22 \n", "0 200469 200626 200729 200846 201014 \n", "1 332503 332534 332555 332579 332598 \n", "2 270713 270716 270722 270722 270734 \n", "3 46275 46275 46366 46366 46366 \n", "4 103131 103131 103131 103131 103131 \n", "5 11 11 11 11 11 \n", "6 9098 9098 9106 9106 9106 \n", "7 9713594 9713594 9713594 9713594 9713594 \n", "8 444482 444482 444482 444482 444482 \n", "9 206285 206285 206285 206938 206938 \n", "10 3518633 3518633 3518633 3530443 3530443 \n", "11 97711 97711 97711 97958 97958 \n", "12 1649359 1649359 1649359 1656423 1655265 \n", "13 771681 771681 771681 771681 772083 \n", "14 250332 250332 250332 250332 251023 \n", "15 2625569 2626888 2628125 2630360 2631296 \n", "16 1159261 1159261 1159261 1164098 1164098 \n", "17 5260762 5273660 5292125 5306372 5319474 \n", "18 822186 822278 822346 822427 822485 \n", "19 37318 37318 37318 37318 37318 \n", "20 683773 684229 684545 684832 685067 \n", "21 2030090 2030550 2031006 2031451 2031797 \n", "22 102580 102580 102609 102609 102609 \n", "23 994037 994037 994037 994037 994037 \n", "24 4575519 4575519 4575519 4586564 4586564 \n", "25 68884 68909 68909 68909 68909 \n", "26 27782 27782 27782 27782 27782 \n", "27 62200 62200 62200 62200 62200 \n", "28 1108702 1108768 1108818 1108865 1108903 \n", "29 399184 399227 399298 399346 399410 \n", ".. ... ... ... ... ... \n", "259 20 20 20 20 20 \n", "260 96723988 96783524 96847991 96912054 96940217 \n", "261 169396 169396 169396 169396 169396 \n", "262 5480098 5480251 5480392 5480495 5480652 \n", "263 1031179 1031500 1031837 1032177 1032522 \n", "264 3866 3866 3866 3866 3866 \n", "265 18220 18220 18220 18220 18220 \n", "266 7305 7305 7305 7305 7305 \n", "267 30809 30809 30809 30809 30809 \n", "268 0 0 0 0 0 \n", "269 1930 1930 1930 1930 1930 \n", "270 20095 20095 20095 20121 20121 \n", "271 31545 31545 31836 31836 31836 \n", "272 38008 38008 38008 38008 38008 \n", "273 60646 60646 60646 60646 61048 \n", "274 1403 1403 1403 1403 1403 \n", "275 4 4 4 4 4 \n", "276 1826 1973 1973 1973 1973 \n", "277 6380 6380 6380 6380 6380 \n", "278 23735273 23735273 23735273 23798793 23798793 \n", "279 986446 987563 987563 987563 987563 \n", "280 244334 244337 244350 244361 244382 \n", "281 11976 11976 11976 11976 11976 \n", "282 544964 544966 545013 545159 545193 \n", "283 11487459 11488685 11489881 11490951 11491541 \n", "284 702804 702804 702804 702804 702804 \n", "285 535 535 535 535 535 \n", "286 11939 11939 11939 11939 11939 \n", "287 333624 333624 333624 333624 333624 \n", "288 257749 257749 257798 257827 257827 \n", "\n", "[289 rows x 1001 columns]" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "data = data_raw\n", "display(data)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Une fois nos données disponibles, je vais chercher les lignes des pays nous intéressant avec la fonction `.loc()` de la bibliothèque Pandas. Une fois ces données localisées, je vais les regrouper sous forme de DataFrame afin de pouvoir les traiter." ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "hideCode": false, "hidePrompt": false }, "outputs": [], "source": [ "Row_Belgium = data.loc[data['Country/Region'] == 'Belgium']\n", "Series_Belgium = pd.Series(data.loc[Row_Belgium.index[0]], name = 'Belgium', dtype = int)" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "Row_China = data.loc[(data['Country/Region'] == 'China') & (data['Province/State'] != 'Hong Kong')]\n", "Series_China_Total = Row_China.sum()" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "Row_HongKong = data.loc[data['Province/State'] == 'Hong Kong']\n", "Series_HongKong = pd.Series(data.loc[Row_HongKong.index[0]], name = 'HongKong', dtype = int)" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "hideCode": false, "hidePrompt": false }, "outputs": [], "source": [ "Row_France = data.loc[(data['Province/State'].isna()) & (data['Country/Region'] == 'France')]\n", "Series_France = pd.Series(data.loc[Row_France.index[0]], name = 'France', dtype = int)" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "hideCode": false, "hidePrompt": false }, "outputs": [], "source": [ "Row_Germany = data.loc[data['Country/Region'] == 'Germany']\n", "Series_Germany = pd.Series(data.loc[Row_Germany.index[0]], name = 'Germany', dtype = int)" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "Row_Iran = data.loc[data['Country/Region'] == 'Iran']\n", "Series_Iran = pd.Series(data.loc[Row_Iran.index[0]], name = 'Iran', dtype = int)" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [], "source": [ "Row_Italy = data.loc[data['Country/Region'] == 'Italy']\n", "Series_Italy = pd.Series(data.loc[Row_Italy.index[0]], name = 'Italy', dtype = int)" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [], "source": [ "Row_Japan = data.loc[data['Country/Region'] == 'Japan']\n", "Series_Japan = pd.Series(data.loc[Row_Japan.index[0]], name = 'Japan', dtype = int)" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [], "source": [ "Row_KoreaSouth = data.loc[data['Country/Region'] == 'Korea, South']\n", "Series_KoreaSouth = pd.Series(data.loc[Row_KoreaSouth.index[0]], name = 'Korea, South', dtype = int)" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [], "source": [ "Row_Netherlands = data.loc[(data['Province/State'].isna()) & (data['Country/Region'] == 'Netherlands')]\n", "Series_Netherlands = pd.Series(data.loc[Row_Netherlands.index[0]], name = 'Netherlands', dtype = int)" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [], "source": [ "Row_Portugal = data.loc[data['Country/Region'] == 'Portugal']\n", "Series_Portugal = pd.Series(data.loc[Row_Portugal.index[0]], name = 'Portugal', dtype = int)" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [], "source": [ "Row_Spain = data.loc[data['Country/Region'] == 'Spain']\n", "Series_Spain = pd.Series(data.loc[Row_Spain.index[0]], name = 'Spain', dtype = int)" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [], "source": [ "Row_UnitedKingdom = data.loc[(data['Province/State'].isna()) & (data['Country/Region'] == 'United Kingdom')]\n", "Series_UnitedKingdom = pd.Series(data.loc[Row_UnitedKingdom.index[0]], name = 'United Kingdom', dtype = int)" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [], "source": [ "Row_US = data.loc[data['Country/Region'] == 'US']\n", "Series_US = pd.Series(data.loc[Row_US.index[0]], name = 'US', dtype = int)" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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DateBelgiumChinaFranceGermanyHong KongIranItalyJapanKorea, SouthNetherlandsPortugalSpainUSUnited Kingdom
01/22/200548000002100010
11/23/200641002002100010
21/24/200918202002200020
31/25/2001401305002200020
41/26/2002067308004300050
51/27/2002869318004400050
61/28/2005501448007400050
71/29/20060775410007400060
81/30/200813154100011400060
91/31/2009790551202151100082
102/1/20011878681302201200182
112/2/200166156101502201500182
122/3/2001970161215022015001118
132/4/2012369061217022216001118
142/5/2012741961221022319001119
152/6/2013056361224022323001129
162/7/2013408561325032324001129
172/8/201367881113260324240011213
182/9/201398001114290324250021214
192/10/201423161114380326270021214
202/11/201443371116490327280021315
212/12/201447091116500328280021316
222/13/201598421116530333280021417
232/14/201663021116560343280021418
242/15/201683571216560354280021418
252/16/201704561216570360290021418
262/17/201723741216600367300021419
272/18/201741491216620379310021419
282/19/201745561216632385310021420
292/20/2017500912166853951040021422
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997 rows × 15 columns

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1816132 7553169 \n", "995 10/13/22 4586564 1010525 35119728 34517327 1821754 7553454 \n", "996 10/14/22 4586564 1011984 35178403 34608835 1826860 7553609 \n", "\n", " Italy Japan Korea, South Netherlands Portugal Spain US \\\n", "0 0 2 1 0 0 0 1 \n", "1 0 2 1 0 0 0 1 \n", "2 0 2 2 0 0 0 2 \n", "3 0 2 2 0 0 0 2 \n", "4 0 4 3 0 0 0 5 \n", "5 0 4 4 0 0 0 5 \n", "6 0 7 4 0 0 0 5 \n", "7 0 7 4 0 0 0 6 \n", "8 0 11 4 0 0 0 6 \n", "9 2 15 11 0 0 0 8 \n", "10 2 20 12 0 0 1 8 \n", "11 2 20 15 0 0 1 8 \n", "12 2 20 15 0 0 1 11 \n", "13 2 22 16 0 0 1 11 \n", "14 2 23 19 0 0 1 11 \n", "15 2 23 23 0 0 1 12 \n", "16 3 23 24 0 0 1 12 \n", "17 3 24 24 0 0 1 12 \n", "18 3 24 25 0 0 2 12 \n", "19 3 26 27 0 0 2 12 \n", "20 3 27 28 0 0 2 13 \n", "21 3 28 28 0 0 2 13 \n", "22 3 33 28 0 0 2 14 \n", "23 3 43 28 0 0 2 14 \n", "24 3 54 28 0 0 2 14 \n", "25 3 60 29 0 0 2 14 \n", "26 3 67 30 0 0 2 14 \n", "27 3 79 31 0 0 2 14 \n", "28 3 85 31 0 0 2 14 \n", "29 3 95 104 0 0 2 14 \n", ".. ... ... ... ... ... ... ... \n", "967 22114423 20500172 24316302 8401151 5454001 13374116 95604106 \n", "968 22131785 20576128 24359702 8405459 5456778 13384876 95660573 \n", "969 22148935 20647079 24394466 8405459 5456778 13384876 95669089 \n", "970 22161016 20711125 24413873 8405459 5456778 13384876 95674531 \n", "971 22169273 20749162 24461737 8405459 5461888 13384876 95730291 \n", "972 22197658 20780883 24502968 8409955 5466249 13393196 95799548 \n", "973 22218846 20850696 24535940 8409955 5469808 13393196 95897956 \n", "974 22241369 20928069 24565021 8409955 5472957 13393196 95978897 \n", "975 22262452 20991907 24594336 8415337 5476059 13403502 96062335 \n", "976 22284812 21031120 24620128 8415337 5476059 13403502 96071989 \n", "977 22303606 21077882 24634296 8415337 5476059 13403502 96078634 \n", "978 22313612 21121413 24673663 8415337 5480864 13403502 96124104 \n", "979 22358487 21165123 24709789 8422214 5481669 13412263 96184866 \n", "980 22395282 21215102 24740635 8422214 5484946 13412263 96271478 \n", "981 22432803 21257275 24769101 8422214 5490639 13412263 96355679 \n", "982 22467278 21293921 24796014 8430739 5493540 13422984 96389181 \n", "983 22500346 21329519 24819611 8430739 5493540 13422984 96397031 \n", "984 22529252 21358831 24831761 8430739 5493540 13422984 96402737 \n", "985 22542568 21373998 24848184 8430739 5498126 13422984 96443964 \n", "986 22602840 21413721 24882894 8441227 5499469 13431098 96499081 \n", "987 22648063 21455079 24911497 8441227 5500613 13431098 96570266 \n", "988 22692912 21488519 24933756 8441227 5501103 13431098 96630947 \n", "989 22737577 21517962 24953135 8452830 5501103 13441941 96689235 \n", "990 22781293 21544747 24970789 8452830 5501103 13441941 96696906 \n", "991 22815736 21567543 24979770 8452830 5501103 13441941 96701958 \n", "992 22830825 21580581 24995246 8452830 5502208 13441941 96723988 \n", "993 22896742 21593704 25025749 8464895 5505654 13441941 96783524 \n", "994 22944496 21639209 25052677 8464895 5506988 13441941 96847991 \n", "995 22990201 21684899 25076239 8464895 5508231 13441941 96912054 \n", "996 23030777 21721504 25098996 8475935 5509424 13462593 96940217 \n", "\n", " United Kingdom \n", "0 0 \n", "1 0 \n", "2 0 \n", "3 0 \n", "4 0 \n", "5 0 \n", "6 0 \n", "7 0 \n", "8 0 \n", "9 2 \n", "10 2 \n", "11 2 \n", "12 8 \n", "13 8 \n", "14 9 \n", "15 9 \n", "16 9 \n", "17 13 \n", "18 14 \n", "19 14 \n", "20 15 \n", "21 16 \n", "22 17 \n", "23 18 \n", "24 18 \n", "25 18 \n", "26 19 \n", "27 19 \n", "28 20 \n", "29 22 \n", ".. ... \n", "967 23585305 \n", "968 23585305 \n", "969 23585305 \n", "970 23585305 \n", "971 23585305 \n", "972 23585305 \n", "973 23585305 \n", "974 23621952 \n", "975 23621952 \n", "976 23621952 \n", "977 23621952 \n", "978 23621952 \n", "979 23621952 \n", "980 23621952 \n", "981 23672852 \n", "982 23672852 \n", "983 23672852 \n", "984 23672852 \n", "985 23672852 \n", "986 23672852 \n", "987 23672852 \n", "988 23735273 \n", "989 23735273 \n", "990 23735273 \n", "991 23735273 \n", "992 23735273 \n", "993 23735273 \n", "994 23735273 \n", "995 23798793 \n", "996 23798793 \n", "\n", "[997 rows x 15 columns]" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "frame = {'Belgium': Series_Belgium, \n", " 'China': Series_China_Total, \n", " 'Hong Kong': Series_HongKong, \n", " 'France': Series_France, \n", " 'Germany': Series_Germany, \n", " 'Iran': Series_Iran, \n", " 'Italy': Series_Italy, \n", " 'Japan': Series_Japan, \n", " 'Korea, South': Series_KoreaSouth, \n", " 'Netherlands': Series_Netherlands, \n", " 'Portugal': Series_Portugal, \n", " 'Spain': Series_Spain, \n", " 'United Kingdom': Series_UnitedKingdom, \n", " 'US': Series_US}\n", "\n", "selected_data_raw = pd.DataFrame(frame)\n", "selected_data = selected_data_raw[4:].reset_index()\n", "selected_data = selected_data.rename(columns={'index': 'Date'})\n", "display(selected_data)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Un fois nos données regroupées dans le DataFrame `selected_data`, je vais alors pouvoir les tracer avec la fonction `.plot()` de la bibliothèque Pandas." ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/opt/conda/lib/python3.6/site-packages/pandas/plotting/_core.py:1716: UserWarning: Pandas doesn't allow columns to be created via a new attribute name - see https://pandas.pydata.org/pandas-docs/stable/indexing.html#attribute-access\n", " series.name = label\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "colors = ['black',\n", " 'gray',\n", " 'silver',\n", " 'brown',\n", " 'red',\n", " 'coral',\n", " 'chocolate',\n", " 'orange',\n", " 'gold',\n", " 'darkgreen',\n", " 'lime',\n", " 'cyan',\n", " 'darkblue',\n", " 'magenta'\n", " ]\n", "selected_data.plot(x = 'Date', \n", " y = ['Belgium','China','Hong Kong',\n", " 'France','Germany','Iran',\n", " 'Italy','Japan','Korea, South',\n", " 'Netherlands','Portugal','Spain',\n", " 'United Kingdom', 'US'],\n", " figsize=(15, 8),\n", " color = colors)\n", "\n", "plt.title('Nombre de cas de Covid-19 en fonction de la date et du pays', fontsize = 18)\n", "plt.xlabel('Date',fontsize = 18)\n", "plt.ylabel('Nombre de cas de Covid-19',fontsize = 18)\n", "\n", "plt.xticks([0,345,710,996], \n", " [selected_data['Date'][0],\n", " selected_data['Date'][345],\n", " selected_data['Date'][710],\n", " selected_data['Date'][996]], \n", " rotation=45)\n", "\n", "plt.grid(which='both', linestyle='--')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Nous avons donc un graphique représentant le nombre de cas de Covid-19 en fonction de la date et du pays. Nous allons maintenant refaire ce graphique avec toutes les données de chaque pays selectionné cumulées." ] }, { "cell_type": "code", "execution_count": 21, "metadata": { "hideCode": false, "hidePrompt": false }, "outputs": [], "source": [ "selected_data['Total'] = selected_data['Belgium'] + selected_data['China'] + selected_data['France'] + selected_data['Germany'] + selected_data['Hong Kong'] + selected_data['Iran'] + selected_data['Italy'] + selected_data['Japan'] + selected_data['Korea, South'] + selected_data['Netherlands'] + selected_data['Portugal'] + selected_data['Spain'] + selected_data['US'] + selected_data['United Kingdom']" ] }, { "cell_type": "code", "execution_count": 22, "metadata": { "hideCode": false, "hidePrompt": false }, "outputs": [ { "data": { "image/png": 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\n", 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Echelle linéaire\n", "selected_data.plot(x = 'Date', \n", " y = 'Total',\n", " figsize=(15, 8),)\n", "\n", "plt.title('Nombre de cas de Covid-19 total des pays selectionnés en fonction de la date en échelle linéaire', fontsize = 18)\n", "plt.xlabel('Date',fontsize = 18)\n", "plt.ylabel('Nombre de cas de Covid-19',fontsize = 18)\n", "\n", "plt.xticks([0,345,710,996], \n", " [selected_data['Date'][0],\n", " selected_data['Date'][345],\n", " selected_data['Date'][710],\n", " selected_data['Date'][996]], \n", " rotation=45)\n", "\n", "plt.grid(which='both', linestyle='--')\n", "plt.show()\n", "\n", "# Echelle logarithmique\n", "selected_data.plot(x = 'Date', \n", " y = 'Total',\n", " figsize=(15, 8),)\n", "\n", "plt.title('Nombre de cas de Covid-19 total des pays selectionnés en fonction de la date en échelle logarithmique', fontsize = 18)\n", "plt.xlabel('Date',fontsize = 18)\n", "plt.ylabel('Nombre de cas de Covid-19',fontsize = 18)\n", "plt.yscale('log')\n", "\n", "plt.xticks([0,345,710,996], \n", " [selected_data['Date'][0],\n", " selected_data['Date'][345],\n", " selected_data['Date'][710],\n", " selected_data['Date'][996]], \n", " rotation=45)\n", "\n", "plt.grid(which='both', linestyle='--')\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "hideCode": false, "hidePrompt": false }, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": { "hideCode": false, "hidePrompt": false }, "outputs": [], "source": [] } ], "metadata": { "hide_code_all_hidden": false, "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.4" } }, "nbformat": 4, "nbformat_minor": 2 }