{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "%matplotlib inline\n", "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "import numpy as np" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "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\"" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "scrolled": false }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Province/StateCountry/RegionLatLong1/22/201/23/201/24/201/25/201/26/201/27/20...2/14/212/15/212/16/212/17/212/18/212/19/212/20/212/21/212/22/212/23/21
0NaNAfghanistan33.93911067.709953000000...55492555145551855540555575557555580556045561755646
1NaNAlbania41.15330020.168300000000...93075938509465195726968389790999062100246101285102306
2NaNAlgeria28.0339001.659600000000...110711110894111069111247111418111600111764111917112094112279
3NaNAndorra42.5063001.521800000000...10503105381055510583106101064510672106991071210739
4NaNAngola-11.20270017.873900000000...20366203812038920400204522047820499205192054820584
5NaNAntigua and Barbuda17.060800-61.796400000000...427443443525548548598598614636
6NaNArgentina-38.416100-63.616700000000...2025798202905720330602039124204679520546812060625206433420697512077228
7NaNArmenia40.06910045.038200000000...169167169255169391169597169820170011170234170402170506170672
8Australian Capital TerritoryAustralia-35.473500149.012400000000...118118118118118118118118118118
9New South WalesAustralia-33.868800151.209300000034...5138513951435143514551465149515051545155
10Northern TerritoryAustralia-12.463400130.845600000000...103103103103103104104104104104
11QueenslandAustralia-27.469800153.025100000000...1320132013201320132113211321132313231323
12South AustraliaAustralia-34.928500138.600700000000...606606608608608608610610612613
13TasmaniaAustralia-42.882100147.327200000000...234234234234234234234234234234
14VictoriaAustralia-37.813600144.963100000011...20471204752047520476204792047920479204792047920479
15Western AustraliaAustralia-31.950500115.860500000000...910910910910910910911912913913
16NaNAustria47.51620014.550100000000...433487434712436139437874439841441659443536445374446644448371
17NaNAzerbaijan40.14310047.576900000000...232123232197232337232491232636232829232973233129233201233424
18NaNBahamas25.025885-78.035889000000...8311831183838383840384038403840384718477
19NaNBahrain26.02750050.550000000000...112742113590114361115057115705116482117234117809118530119205
20NaNBangladesh23.68500090.356300000000...540592541038541434541877542268542674543024543351543717544116
21NaNBarbados13.193900-59.543200000000...2061226823312457264726772715277227912852
22NaNBelarus53.70980027.953400000000...268687269787270921272273273659275322276990278312279456280428
23NaNBelgium50.8333004.469936000000...738631739488741205743882746302749739752379754473755594757696
24NaNBelize17.189900-88.497600000000...12145121751218812195122071222712244122441225512264
25NaNBenin9.3077002.315800000000...4560503950395143514351435143543454345434
26NaNBhutan27.51420090.433600000000...864866866866866866866866866867
27NaNBolivia-16.290200-63.588700000000...236732237144237706238495239524240676241771242292243176244380
28NaNBosnia and Herzegovina43.91590017.679100000000...125402126139126413126781127135127537127537127537128661129176
29NaNBotswana-22.32850024.684900000000...24926258022580225802265242652426524265242772127721
..................................................................
244NaNTimor-Leste-8.874217125.727539000000...102102102102103103103103103107
245NaNTogo8.6195000.824800000000...5874588259536007608561826268631963486466
246NaNTrinidad and Tobago10.691800-61.222500000000...7642764676567663766676667676768076827686
247NaNTunisia33.8869179.537499000000...223244223549224329225116226015226740227643228362228937229781
248NaNTurkey38.96370035.243300000000...2586183259412826020342609359261660026240192631876263842226465262655633
249NaNUS40.000000-100.000000112255...27644213276981902776066027830489278997552800611028077620281341152819015928261595
250NaNUganda1.37333332.290275000000...40019400554006340102401544016840199402134022140243
251NaNUkraine48.37940031.165600000000...1316520131906013224061326891133333213400541346527135119013545451358871
252NaNUnited Arab Emirates23.42407653.847818000000...348772351895355131358583361877365017368175370425372530375535
253AnguillaUnited Kingdom18.220600-63.068600000000...18181818181818181818
254BermudaUnited Kingdom32.307800-64.750500000000...694695695697699699699699699703
255British Virgin IslandsUnited Kingdom18.420700-64.640000000000...114114114114114114114114114114
256Cayman IslandsUnited Kingdom19.313300-81.254600000000...416416419419425428428428431431
257Channel IslandsUnited Kingdom49.372300-2.364400000000...3999400440094013401640234025402640304030
258Falkland Islands (Malvinas)United Kingdom-51.796300-59.523600000000...53535454545454545454
259GibraltarUnited Kingdom36.140800-5.353600000000...4219422342244226422742284228422842324234
260Isle of ManUnited Kingdom54.236100-4.548100000000...436436437437444449450450456462
261MontserratUnited Kingdom16.742498-62.187366000000...20202020202020202020
262Saint Helena, Ascension and Tristan da CunhaUnited Kingdom-7.946700-14.355900000000...4444444444
263Turks and Caicos IslandsUnited Kingdom21.694000-71.797900000000...1873187418741909192819842028202820292051
264NaNUnited Kingdom55.378100-3.436000000000...4038078404784340584684071185408324240952694105675411550941261504134639
265NaNUruguay-32.522800-55.765800000000...48909493604972550208507525137752163528155331053973
266NaNUzbekistan41.37749164.585262000000...79416794427946179497795487959879632796547968179717
267NaNVanuatu-15.376700166.959200000000...1111111111
268NaNVenezuela6.423800-66.589700000000...133218133577133927134319134781135114135603136068136545136986
269NaNVietnam14.058324108.277199022222...2228226923112329234723622368238323922403
270NaNWest Bank and Gaza31.95220035.233200000000...167604168444169487170527171154171717172315173635174969176377
271NaNYemen15.55272748.516388000000...2145214521482151215421572157216521762187
272NaNZambia-13.13389727.849332000000...69437702487082371677724677320373894745037502775582
273NaNZimbabwe-19.01543829.154857000000...35172352223531535423355433571035768357963586235910
\n", "

274 rows × 403 columns

\n", "
" ], "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 Antigua and Barbuda \n", "6 NaN Argentina \n", "7 NaN Armenia \n", "8 Australian Capital Territory Australia \n", "9 New South Wales Australia \n", "10 Northern Territory Australia \n", "11 Queensland Australia \n", "12 South Australia Australia \n", "13 Tasmania Australia \n", "14 Victoria Australia \n", "15 Western Australia Australia \n", "16 NaN Austria \n", "17 NaN Azerbaijan \n", "18 NaN Bahamas \n", "19 NaN Bahrain \n", "20 NaN Bangladesh \n", "21 NaN Barbados \n", "22 NaN Belarus \n", "23 NaN Belgium \n", "24 NaN Belize \n", "25 NaN Benin \n", "26 NaN Bhutan \n", "27 NaN Bolivia \n", "28 NaN Bosnia and Herzegovina \n", "29 NaN Botswana \n", ".. ... ... \n", "244 NaN Timor-Leste \n", "245 NaN Togo \n", "246 NaN Trinidad and Tobago \n", "247 NaN Tunisia \n", "248 NaN Turkey \n", "249 NaN US \n", "250 NaN Uganda \n", "251 NaN Ukraine \n", "252 NaN United Arab Emirates \n", "253 Anguilla United Kingdom \n", "254 Bermuda United Kingdom \n", "255 British Virgin Islands United Kingdom \n", "256 Cayman Islands United Kingdom \n", "257 Channel Islands United Kingdom \n", "258 Falkland Islands (Malvinas) United Kingdom \n", "259 Gibraltar United Kingdom \n", "260 Isle of Man United Kingdom \n", "261 Montserrat United Kingdom \n", "262 Saint Helena, Ascension and Tristan da Cunha United Kingdom \n", "263 Turks and Caicos Islands United Kingdom \n", "264 NaN United Kingdom \n", "265 NaN Uruguay \n", "266 NaN Uzbekistan \n", "267 NaN Vanuatu \n", "268 NaN Venezuela \n", "269 NaN Vietnam \n", "270 NaN West Bank and Gaza \n", "271 NaN Yemen \n", "272 NaN Zambia \n", "273 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 17.060800 -61.796400 0 0 0 0 0 \n", "6 -38.416100 -63.616700 0 0 0 0 0 \n", "7 40.069100 45.038200 0 0 0 0 0 \n", "8 -35.473500 149.012400 0 0 0 0 0 \n", "9 -33.868800 151.209300 0 0 0 0 3 \n", "10 -12.463400 130.845600 0 0 0 0 0 \n", "11 -27.469800 153.025100 0 0 0 0 0 \n", "12 -34.928500 138.600700 0 0 0 0 0 \n", "13 -42.882100 147.327200 0 0 0 0 0 \n", "14 -37.813600 144.963100 0 0 0 0 1 \n", "15 -31.950500 115.860500 0 0 0 0 0 \n", "16 47.516200 14.550100 0 0 0 0 0 \n", "17 40.143100 47.576900 0 0 0 0 0 \n", "18 25.025885 -78.035889 0 0 0 0 0 \n", "19 26.027500 50.550000 0 0 0 0 0 \n", "20 23.685000 90.356300 0 0 0 0 0 \n", "21 13.193900 -59.543200 0 0 0 0 0 \n", "22 53.709800 27.953400 0 0 0 0 0 \n", "23 50.833300 4.469936 0 0 0 0 0 \n", "24 17.189900 -88.497600 0 0 0 0 0 \n", "25 9.307700 2.315800 0 0 0 0 0 \n", "26 27.514200 90.433600 0 0 0 0 0 \n", "27 -16.290200 -63.588700 0 0 0 0 0 \n", "28 43.915900 17.679100 0 0 0 0 0 \n", "29 -22.328500 24.684900 0 0 0 0 0 \n", ".. ... ... ... ... ... ... ... \n", "244 -8.874217 125.727539 0 0 0 0 0 \n", "245 8.619500 0.824800 0 0 0 0 0 \n", "246 10.691800 -61.222500 0 0 0 0 0 \n", "247 33.886917 9.537499 0 0 0 0 0 \n", "248 38.963700 35.243300 0 0 0 0 0 \n", "249 40.000000 -100.000000 1 1 2 2 5 \n", "250 1.373333 32.290275 0 0 0 0 0 \n", "251 48.379400 31.165600 0 0 0 0 0 \n", "252 23.424076 53.847818 0 0 0 0 0 \n", "253 18.220600 -63.068600 0 0 0 0 0 \n", "254 32.307800 -64.750500 0 0 0 0 0 \n", "255 18.420700 -64.640000 0 0 0 0 0 \n", "256 19.313300 -81.254600 0 0 0 0 0 \n", "257 49.372300 -2.364400 0 0 0 0 0 \n", "258 -51.796300 -59.523600 0 0 0 0 0 \n", "259 36.140800 -5.353600 0 0 0 0 0 \n", "260 54.236100 -4.548100 0 0 0 0 0 \n", "261 16.742498 -62.187366 0 0 0 0 0 \n", "262 -7.946700 -14.355900 0 0 0 0 0 \n", "263 21.694000 -71.797900 0 0 0 0 0 \n", "264 55.378100 -3.436000 0 0 0 0 0 \n", "265 -32.522800 -55.765800 0 0 0 0 0 \n", "266 41.377491 64.585262 0 0 0 0 0 \n", "267 -15.376700 166.959200 0 0 0 0 0 \n", "268 6.423800 -66.589700 0 0 0 0 0 \n", "269 14.058324 108.277199 0 2 2 2 2 \n", "270 31.952200 35.233200 0 0 0 0 0 \n", "271 15.552727 48.516388 0 0 0 0 0 \n", "272 -13.133897 27.849332 0 0 0 0 0 \n", "273 -19.015438 29.154857 0 0 0 0 0 \n", "\n", " 1/27/20 ... 2/14/21 2/15/21 2/16/21 2/17/21 2/18/21 \\\n", "0 0 ... 55492 55514 55518 55540 55557 \n", "1 0 ... 93075 93850 94651 95726 96838 \n", "2 0 ... 110711 110894 111069 111247 111418 \n", "3 0 ... 10503 10538 10555 10583 10610 \n", "4 0 ... 20366 20381 20389 20400 20452 \n", "5 0 ... 427 443 443 525 548 \n", "6 0 ... 2025798 2029057 2033060 2039124 2046795 \n", "7 0 ... 169167 169255 169391 169597 169820 \n", "8 0 ... 118 118 118 118 118 \n", "9 4 ... 5138 5139 5143 5143 5145 \n", "10 0 ... 103 103 103 103 103 \n", "11 0 ... 1320 1320 1320 1320 1321 \n", "12 0 ... 606 606 608 608 608 \n", "13 0 ... 234 234 234 234 234 \n", "14 1 ... 20471 20475 20475 20476 20479 \n", "15 0 ... 910 910 910 910 910 \n", "16 0 ... 433487 434712 436139 437874 439841 \n", "17 0 ... 232123 232197 232337 232491 232636 \n", "18 0 ... 8311 8311 8383 8383 8403 \n", "19 0 ... 112742 113590 114361 115057 115705 \n", "20 0 ... 540592 541038 541434 541877 542268 \n", "21 0 ... 2061 2268 2331 2457 2647 \n", "22 0 ... 268687 269787 270921 272273 273659 \n", "23 0 ... 738631 739488 741205 743882 746302 \n", "24 0 ... 12145 12175 12188 12195 12207 \n", "25 0 ... 4560 5039 5039 5143 5143 \n", "26 0 ... 864 866 866 866 866 \n", "27 0 ... 236732 237144 237706 238495 239524 \n", "28 0 ... 125402 126139 126413 126781 127135 \n", "29 0 ... 24926 25802 25802 25802 26524 \n", ".. ... ... ... ... ... ... ... \n", "244 0 ... 102 102 102 102 103 \n", "245 0 ... 5874 5882 5953 6007 6085 \n", "246 0 ... 7642 7646 7656 7663 7666 \n", "247 0 ... 223244 223549 224329 225116 226015 \n", "248 0 ... 2586183 2594128 2602034 2609359 2616600 \n", "249 5 ... 27644213 27698190 27760660 27830489 27899755 \n", "250 0 ... 40019 40055 40063 40102 40154 \n", "251 0 ... 1316520 1319060 1322406 1326891 1333332 \n", "252 0 ... 348772 351895 355131 358583 361877 \n", "253 0 ... 18 18 18 18 18 \n", "254 0 ... 694 695 695 697 699 \n", "255 0 ... 114 114 114 114 114 \n", "256 0 ... 416 416 419 419 425 \n", "257 0 ... 3999 4004 4009 4013 4016 \n", "258 0 ... 53 53 54 54 54 \n", "259 0 ... 4219 4223 4224 4226 4227 \n", "260 0 ... 436 436 437 437 444 \n", "261 0 ... 20 20 20 20 20 \n", "262 0 ... 4 4 4 4 4 \n", "263 0 ... 1873 1874 1874 1909 1928 \n", "264 0 ... 4038078 4047843 4058468 4071185 4083242 \n", "265 0 ... 48909 49360 49725 50208 50752 \n", "266 0 ... 79416 79442 79461 79497 79548 \n", "267 0 ... 1 1 1 1 1 \n", "268 0 ... 133218 133577 133927 134319 134781 \n", "269 2 ... 2228 2269 2311 2329 2347 \n", "270 0 ... 167604 168444 169487 170527 171154 \n", "271 0 ... 2145 2145 2148 2151 2154 \n", "272 0 ... 69437 70248 70823 71677 72467 \n", "273 0 ... 35172 35222 35315 35423 35543 \n", "\n", " 2/19/21 2/20/21 2/21/21 2/22/21 2/23/21 \n", "0 55575 55580 55604 55617 55646 \n", "1 97909 99062 100246 101285 102306 \n", "2 111600 111764 111917 112094 112279 \n", "3 10645 10672 10699 10712 10739 \n", "4 20478 20499 20519 20548 20584 \n", "5 548 598 598 614 636 \n", "6 2054681 2060625 2064334 2069751 2077228 \n", "7 170011 170234 170402 170506 170672 \n", "8 118 118 118 118 118 \n", "9 5146 5149 5150 5154 5155 \n", "10 104 104 104 104 104 \n", "11 1321 1321 1323 1323 1323 \n", "12 608 610 610 612 613 \n", "13 234 234 234 234 234 \n", "14 20479 20479 20479 20479 20479 \n", "15 910 911 912 913 913 \n", "16 441659 443536 445374 446644 448371 \n", "17 232829 232973 233129 233201 233424 \n", "18 8403 8403 8403 8471 8477 \n", "19 116482 117234 117809 118530 119205 \n", "20 542674 543024 543351 543717 544116 \n", "21 2677 2715 2772 2791 2852 \n", "22 275322 276990 278312 279456 280428 \n", "23 749739 752379 754473 755594 757696 \n", "24 12227 12244 12244 12255 12264 \n", "25 5143 5143 5434 5434 5434 \n", "26 866 866 866 866 867 \n", "27 240676 241771 242292 243176 244380 \n", "28 127537 127537 127537 128661 129176 \n", "29 26524 26524 26524 27721 27721 \n", ".. ... ... ... ... ... \n", "244 103 103 103 103 107 \n", "245 6182 6268 6319 6348 6466 \n", "246 7666 7676 7680 7682 7686 \n", "247 226740 227643 228362 228937 229781 \n", "248 2624019 2631876 2638422 2646526 2655633 \n", "249 28006110 28077620 28134115 28190159 28261595 \n", "250 40168 40199 40213 40221 40243 \n", "251 1340054 1346527 1351190 1354545 1358871 \n", "252 365017 368175 370425 372530 375535 \n", "253 18 18 18 18 18 \n", "254 699 699 699 699 703 \n", "255 114 114 114 114 114 \n", "256 428 428 428 431 431 \n", "257 4023 4025 4026 4030 4030 \n", "258 54 54 54 54 54 \n", "259 4228 4228 4228 4232 4234 \n", "260 449 450 450 456 462 \n", "261 20 20 20 20 20 \n", "262 4 4 4 4 4 \n", "263 1984 2028 2028 2029 2051 \n", "264 4095269 4105675 4115509 4126150 4134639 \n", "265 51377 52163 52815 53310 53973 \n", "266 79598 79632 79654 79681 79717 \n", "267 1 1 1 1 1 \n", "268 135114 135603 136068 136545 136986 \n", "269 2362 2368 2383 2392 2403 \n", "270 171717 172315 173635 174969 176377 \n", "271 2157 2157 2165 2176 2187 \n", "272 73203 73894 74503 75027 75582 \n", "273 35710 35768 35796 35862 35910 \n", "\n", "[274 rows x 403 columns]" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "raw_data = pd.read_csv(data_url)\n", "raw_data" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "On remplace `NaN` par `'0'`." ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "scrolled": false }, "outputs": [], "source": [ "data = raw_data.fillna('0').copy()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Nous pouvons récupérer les données en regardant si la ligne `\"Province/State\"=='0'`." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Province/StateCountry/RegionLatLong1/22/201/23/201/24/201/25/201/26/201/27/20...2/14/212/15/212/16/212/17/212/18/212/19/212/20/212/21/212/22/212/23/21
1290France46.22762.2137002333...3447518345189434712683495775351717735412823562707358432635889723608271
\n", "

1 rows × 403 columns

\n", "
" ], "text/plain": [ " Province/State Country/Region Lat Long 1/22/20 1/23/20 1/24/20 \\\n", "129 0 France 46.2276 2.2137 0 0 2 \n", "\n", " 1/25/20 1/26/20 1/27/20 ... 2/14/21 2/15/21 2/16/21 2/17/21 \\\n", "129 3 3 3 ... 3447518 3451894 3471268 3495775 \n", "\n", " 2/18/21 2/19/21 2/20/21 2/21/21 2/22/21 2/23/21 \n", "129 3517177 3541282 3562707 3584326 3588972 3608271 \n", "\n", "[1 rows x 403 columns]" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data[data[\"Country/Region\"]==\"France\"][data[data[\"Country/Region\"]==\"France\"][\"Province/State\"]=='0']" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Les données commencent à partir de 5e colonne." ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "list_countries = [\"Belgium\", \"France\", \"Germany\", \"Iran\", \"Italy\", \"Japan\", \"Korea, South\",\n", " \"Netherlands\", \"Portugal\", \"Spain\", \"United Kingdom\", \"US\"]" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "donnees = []\n", "for c in list_countries:\n", " donnees.append(np.array(data[data[\"Country/Region\"]==c][data[data[\"Country/Region\"]==c][\"Province/State\"]=='0'].iloc[0,4:]))" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "assert len(donnees) == len(list_countries)" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "hong_kong = raw_data[raw_data[\"Province/State\"]==\"Hong Kong\"]" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Province/StateCountry/RegionLatLong1/22/201/23/201/24/201/25/201/26/201/27/20...2/14/212/15/212/16/212/17/212/18/212/19/212/20/212/21/212/22/212/23/21
70Hong KongChina22.3114.2022588...10779107881079610812108201083310848108681088410896
\n", "

1 rows × 403 columns

\n", "
" ], "text/plain": [ " Province/State Country/Region Lat Long 1/22/20 1/23/20 1/24/20 \\\n", "70 Hong Kong China 22.3 114.2 0 2 2 \n", "\n", " 1/25/20 1/26/20 1/27/20 ... 2/14/21 2/15/21 2/16/21 2/17/21 \\\n", "70 5 8 8 ... 10779 10788 10796 10812 \n", "\n", " 2/18/21 2/19/21 2/20/21 2/21/21 2/22/21 2/23/21 \n", "70 10820 10833 10848 10868 10884 10896 \n", "\n", "[1 rows x 403 columns]" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "hong_kong" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [], "source": [ "donnees.append(np.array(hong_kong.iloc[0, 4:]))\n", "list_countries.append(\"Hong Kong\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "On prépare les données pour la Chine." ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Province/StateCountry/RegionLatLong1/22/201/23/201/24/201/25/201/26/201/27/20...2/14/212/15/212/16/212/17/212/18/212/19/212/20/212/21/212/22/212/23/21
58AnhuiChina31.8257117.2261915396070...994994994994994994994994994994
59BeijingChina40.1824116.414142236416880...1046104610461046104610461046104710471047
60ChongqingChina30.0572107.87469275775110...591591591591591591591591591591
61FujianChina26.0789117.9871510183559...548548548548548548548549549549
62GansuChina35.7518104.2860224714...187187187187187187187187187187
63GuangdongChina23.3417113.42426325378111151...2163217121772180218021832184218721962196
64GuangxiChina23.8298108.7882523233646...267267267267267267267267267267
65GuizhouChina26.8154106.875133457...147147147147147147147147147147
66HainanChina19.1959109.745458192233...171171171171171171171171171171
67HebeiChina39.549116.13111281318...1317131713171317131713171317131713171317
68HeilongjiangChina47.862127.76102491521...1609160916091610161016101610161016101610
69HenanChina37.8957114.9045593283128...1304130413041304130413041304130413041304
71HubeiChina30.9756112.27144444454976110581423...68150681506815068151681516815168151681516815168151
72HunanChina27.6104111.70949244369100...1033103310331033103410351035103610361036
73Inner MongoliaChina44.0935113.9450017711...367367367367367367367367367367
74JiangsuChina32.9711119.455159183347...703703703703703703703703703704
75JiangxiChina27.614115.7222718183672...935935935935935935935935935935
76JilinChina43.6661126.192013446...573573573573573573573573573573
77LiaoningChina41.2956122.609234172127...404404404404404405406406406406
78MacauChina22.1667113.55122256...48484848484848484848
79NingxiaChina37.2692106.165112347...75757575757575757575
80QinghaiChina35.745295.9956000116...18181818181818181818
81ShaanxiChina35.1917108.87035152235...545547547547547547547547547549
82ShandongChina36.3427118.152615274675...867867867867867867867867867868
83ShanghaiChina31.202121.44991620334053...1760176517651769177617781781178317831786
84ShanxiChina37.5777112.2921116913...239239239239239239239239240240
85SichuanChina30.6171102.715815284469...878879880882882883885887887889
86TianjinChina39.3054117.323448101423...349349349349351351351352352353
87TibetChina31.692788.0924000000...1111111111
88XinjiangChina41.112985.2401022345...980980980980980980980980980980
89YunnanChina24.974101.487125111626...231231231231231231231231231231
90ZhejiangChina29.1832120.09310274362104128...1320132013201320132013201320132013201321
\n", "

32 rows × 403 columns

\n", "
" ], "text/plain": [ " Province/State Country/Region Lat Long 1/22/20 1/23/20 \\\n", "58 Anhui China 31.8257 117.226 1 9 \n", "59 Beijing China 40.1824 116.414 14 22 \n", "60 Chongqing China 30.0572 107.874 6 9 \n", "61 Fujian China 26.0789 117.987 1 5 \n", "62 Gansu China 35.7518 104.286 0 2 \n", "63 Guangdong China 23.3417 113.424 26 32 \n", "64 Guangxi China 23.8298 108.788 2 5 \n", "65 Guizhou China 26.8154 106.875 1 3 \n", "66 Hainan China 19.1959 109.745 4 5 \n", "67 Hebei China 39.549 116.131 1 1 \n", "68 Heilongjiang China 47.862 127.761 0 2 \n", "69 Henan China 37.8957 114.904 5 5 \n", "71 Hubei China 30.9756 112.271 444 444 \n", "72 Hunan China 27.6104 111.709 4 9 \n", "73 Inner Mongolia China 44.0935 113.945 0 0 \n", "74 Jiangsu China 32.9711 119.455 1 5 \n", "75 Jiangxi China 27.614 115.722 2 7 \n", "76 Jilin China 43.6661 126.192 0 1 \n", "77 Liaoning China 41.2956 122.609 2 3 \n", "78 Macau China 22.1667 113.55 1 2 \n", "79 Ningxia China 37.2692 106.165 1 1 \n", "80 Qinghai China 35.7452 95.9956 0 0 \n", "81 Shaanxi China 35.1917 108.87 0 3 \n", "82 Shandong China 36.3427 118.15 2 6 \n", "83 Shanghai China 31.202 121.449 9 16 \n", "84 Shanxi China 37.5777 112.292 1 1 \n", "85 Sichuan China 30.6171 102.71 5 8 \n", "86 Tianjin China 39.3054 117.323 4 4 \n", "87 Tibet China 31.6927 88.0924 0 0 \n", "88 Xinjiang China 41.1129 85.2401 0 2 \n", "89 Yunnan China 24.974 101.487 1 2 \n", "90 Zhejiang China 29.1832 120.093 10 27 \n", "\n", " 1/24/20 1/25/20 1/26/20 1/27/20 ... 2/14/21 2/15/21 2/16/21 \\\n", "58 15 39 60 70 ... 994 994 994 \n", "59 36 41 68 80 ... 1046 1046 1046 \n", "60 27 57 75 110 ... 591 591 591 \n", "61 10 18 35 59 ... 548 548 548 \n", "62 2 4 7 14 ... 187 187 187 \n", "63 53 78 111 151 ... 2163 2171 2177 \n", "64 23 23 36 46 ... 267 267 267 \n", "65 3 4 5 7 ... 147 147 147 \n", "66 8 19 22 33 ... 171 171 171 \n", "67 2 8 13 18 ... 1317 1317 1317 \n", "68 4 9 15 21 ... 1609 1609 1609 \n", "69 9 32 83 128 ... 1304 1304 1304 \n", "71 549 761 1058 1423 ... 68150 68150 68150 \n", "72 24 43 69 100 ... 1033 1033 1033 \n", "73 1 7 7 11 ... 367 367 367 \n", "74 9 18 33 47 ... 703 703 703 \n", "75 18 18 36 72 ... 935 935 935 \n", "76 3 4 4 6 ... 573 573 573 \n", "77 4 17 21 27 ... 404 404 404 \n", "78 2 2 5 6 ... 48 48 48 \n", "79 2 3 4 7 ... 75 75 75 \n", "80 0 1 1 6 ... 18 18 18 \n", "81 5 15 22 35 ... 545 547 547 \n", "82 15 27 46 75 ... 867 867 867 \n", "83 20 33 40 53 ... 1760 1765 1765 \n", "84 1 6 9 13 ... 239 239 239 \n", "85 15 28 44 69 ... 878 879 880 \n", "86 8 10 14 23 ... 349 349 349 \n", "87 0 0 0 0 ... 1 1 1 \n", "88 2 3 4 5 ... 980 980 980 \n", "89 5 11 16 26 ... 231 231 231 \n", "90 43 62 104 128 ... 1320 1320 1320 \n", "\n", " 2/17/21 2/18/21 2/19/21 2/20/21 2/21/21 2/22/21 2/23/21 \n", "58 994 994 994 994 994 994 994 \n", "59 1046 1046 1046 1046 1047 1047 1047 \n", "60 591 591 591 591 591 591 591 \n", "61 548 548 548 548 549 549 549 \n", "62 187 187 187 187 187 187 187 \n", "63 2180 2180 2183 2184 2187 2196 2196 \n", "64 267 267 267 267 267 267 267 \n", "65 147 147 147 147 147 147 147 \n", "66 171 171 171 171 171 171 171 \n", "67 1317 1317 1317 1317 1317 1317 1317 \n", "68 1610 1610 1610 1610 1610 1610 1610 \n", "69 1304 1304 1304 1304 1304 1304 1304 \n", "71 68151 68151 68151 68151 68151 68151 68151 \n", "72 1033 1034 1035 1035 1036 1036 1036 \n", "73 367 367 367 367 367 367 367 \n", "74 703 703 703 703 703 703 704 \n", "75 935 935 935 935 935 935 935 \n", "76 573 573 573 573 573 573 573 \n", "77 404 404 405 406 406 406 406 \n", "78 48 48 48 48 48 48 48 \n", "79 75 75 75 75 75 75 75 \n", "80 18 18 18 18 18 18 18 \n", "81 547 547 547 547 547 547 549 \n", "82 867 867 867 867 867 867 868 \n", "83 1769 1776 1778 1781 1783 1783 1786 \n", "84 239 239 239 239 239 240 240 \n", "85 882 882 883 885 887 887 889 \n", "86 349 351 351 351 352 352 353 \n", "87 1 1 1 1 1 1 1 \n", "88 980 980 980 980 980 980 980 \n", "89 231 231 231 231 231 231 231 \n", "90 1320 1320 1320 1320 1320 1320 1321 \n", "\n", "[32 rows x 403 columns]" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data[data[\"Country/Region\"]==\"China\"][data[data[\"Country/Region\"]==\"China\"][\"Province/State\"]!=\"Hong Kong\"]" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [], "source": [ "china = np.array(data[data[\"Country/Region\"]==\"China\"][data[data[\"Country/Region\"]==\"China\"][\"Province/State\"]!=\"Hong Kong\"].iloc[:, 4:])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "`china` doit avoir un `shape`: (32, 399)" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [], "source": [ "assert china.shape == (32, 399)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Nous pouvons faire la somme sur les provinces pour avoir les données du pays." ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [], "source": [ "donnees.append(np.sum(china, axis=0))\n", "list_countries.append(\"China\")" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "scrolled": false }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "color=plt.cm.rainbow(np.linspace(0,1,len(list_countries)))\n", "\n", "plt.figure(figsize=(12, 8))\n", "for i, c in enumerate(list_countries):\n", " plt.plot(donnees[i], label=c, c=color[i])\n", "plt.legend(loc='best');" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Ici, les cases covid aux Etats-Unis sont très forts! Nous allons éliminer la courbe de US pour zoomer sur les autres pays." ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "color=plt.cm.rainbow(np.linspace(0,1,len(list_countries)))\n", "\n", "plt.figure(figsize=(12, 8))\n", "for i, c in enumerate(list_countries):\n", " if c != \"US\":\n", " plt.plot(donnees[i], label=c, c=color[i])\n", "plt.legend(loc='best');" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.4" } }, "nbformat": 4, "nbformat_minor": 2 }