diff --git a/module3/exo3/exercice.ipynb b/module3/exo3/exercice.ipynb index 0bbbe371b01e359e381e43239412d77bf53fb1fb..df58fe11710abde5d9d6065853e1c29196c4db81 100644 --- a/module3/exo3/exercice.ipynb +++ b/module3/exo3/exercice.ipynb @@ -1,5 +1,5690 @@ { - "cells": [], + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# The SARS-CoV-2 (Covid-19) epidemic" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "%matplotlib inline\n", + "import matplotlib.pyplot as plt\n", + "import pandas as pd\n", + "import isoweek" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The data on the SARS-CoV-2 (Covid-19) epidemic are available from the Web site of the [Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE)](https://systems.jhu.edu/). We download them as a file in CSV format, in which each line corresponds to a state in the observation period. Only the complete dataset, starting on 22nd Jenuary 2020 and ending with a recent week, is available for download." + ] + }, + { + "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": "markdown", + "metadata": {}, + "source": [ + "This is the documentation of the data from [the download site](https://github.com/CSSEGISandData/COVID-19):\n", + "\n", + "| Columns name | Description |\n", + "|--------------|---------------------------------------------------------------------------------------------------------------------------|\n", + "| `Province/State` | |\n", + "| `Country/Region` | |\n", + "| `Lat` | |\n", + "| `Long` | |\n", + "| `839 x Dates` | |\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Province/StateCountry/RegionLatLong1/22/201/23/201/24/201/25/201/26/201/27/20...4/30/225/1/225/2/225/3/225/4/225/5/225/6/225/7/225/8/225/9/22
0NaNAfghanistan33.93911067.709953000000...178879178899178901178901178901178905178919178922178981179010
1NaNAlbania41.15330020.168300000000...275107275167275177275191275211275266275310275341275366275372
2NaNAlgeria28.0339001.659600000000...265780265782265782265782265782265786265791265794265798265800
3NaNAndorra42.5063001.521800000000...41349413494134941349417174171741717417174171741717
4NaNAngola-11.20270017.873900000000...99287992879928799287992879928799287992879928799287
5NaNAntarctica-71.94990023.347000000000...11111111111111111111
6NaNAntigua and Barbuda17.060800-61.796400000000...7626762676267626765476637663766376637663
7NaNArgentina-38.416100-63.616700000000...9072230908367390836739083673908367390836739083673908367391013199101319
8NaNArmenia40.06910045.038200000000...422867422871422874422874422877422877422877422877422877422896
9Australian Capital TerritoryAustralia-35.473500149.012400000000...104941105739106705107769108830109879110846111599112407113368
10New South WalesAustralia-33.868800151.209300000034...2287281229490023044352316269233436023451562356642236548423732352383412
11Northern TerritoryAustralia-12.463400130.845600000000...63289635686415164540649836498365659658816608366427
12QueenslandAustralia-27.469800153.025100000000...997619100225710074591015120102314910301721036786104145010462001052748
13South AustraliaAustralia-34.928500138.600700000000...409717413321416371416371424182427205424182430466436318440223
14TasmaniaAustralia-42.882100147.327200000000...136457137359138395139468140554141647142541143267144107145182
15VictoriaAustralia-37.813600144.963100000011...1561415157694515868761597464160906016192961628531163713516470281659695
16Western AustraliaAustralia-31.950500115.860500000000...392423398270405848415563425704433295442481451192461553473909
17NaNAustria47.51620014.550100000000...4140543414490641490044154244416100441667594172760417792841815454185678
18NaNAzerbaijan40.14310047.576900000000...792562792578792579792585792585792599792607792618792630792632
19NaNBahamas25.025885-78.035889000000...33558335783358233601336263365533672336953369533748
20NaNBahrain26.02750050.550000000000...568706569091569370569727570103570761571441572082572810573757
21NaNBangladesh23.68500090.356300000000...1952691195271619527261952733195274319527471952766195277619527991952829
22NaNBarbados13.193900-59.543200000000...70080704497079371127711277228272743731987359273856
23NaNBelarus53.70980027.953400000000...980345980345980345980868981070981259981838981838982331982331
24NaNBelgium50.8333004.469936000000...4056448405644840712794071279407127940883364088336408833640883364102082
25NaNBelize17.189900-88.497600000000...57497574975749757535575615757857612576125761257675
26NaNBenin9.3077002.315800000000...26952269522695226952269522695226952269522695226952
27NaNBhutan27.51420090.433600000000...59163592195924759274593585942259450594835949759512
28NaNBolivia-16.290200-63.588700000000...904974905074905074905097905150905212905355905428905453905453
29NaNBosnia and Herzegovina43.91590017.679100000000...377087377087377087377145377175377229377229377276377276377345
..................................................................
254NaNTunisia33.8869179.537499000000...1040193104019310401931040193104071210407121040712104071210407121040712
255NaNTurkey38.96370035.243300000000...15032093150335731503491715036110150372421503849515040238150418991504337915044921
256NaNUS40.000000-100.000000112255...81348442813647188145802381506402816205038170760181831608818584988186347981973661
257NaNUganda1.37333332.290275000000...164084164084164104164104164104164104164118164118164118164149
258NaNUkraine48.37940031.165600000000...5040518504051850405185040518504051850405185040518504051850405185040518
259NaNUnited Arab Emirates23.42407653.847818000000...898571898811899033899242899441899637899835900026900251900484
260AnguillaUnited Kingdom18.220600-63.068600000000...2788278827882788278827882788278827882788
261BermudaUnited Kingdom32.307800-64.750500000000...13488134881355913559138321383213832138321383213832
262British Virgin IslandsUnited Kingdom18.420700-64.640000000000...6355635563556355635563556467646764676467
263Cayman IslandsUnited Kingdom19.313300-81.254600000000...22223222232222322223228282282822828228282282822828
264Channel IslandsUnited Kingdom49.372300-2.364400000000...0000000000
265Falkland Islands (Malvinas)United Kingdom-51.796300-59.523600000000...177177181181197197392392392392
266GibraltarUnited Kingdom36.140800-5.353600000000...17837178371783717837178371799617996179961799617996
267GuernseyUnited Kingdom49.448196-2.589490000000...24573245732457324573248322483224832248322483224832
268Isle of ManUnited Kingdom54.236100-4.548100000000...32205322053220532205324243242432424324243242432424
269JerseyUnited Kingdom49.213800-2.135800000000...49778497784981049810498104981050033500335003350033
270MontserratUnited Kingdom16.742498-62.187366000000...241273273273371452452493493493
271Saint Helena, Ascension and Tristan da CunhaUnited Kingdom-7.946700-14.355900000000...4444444444
272Turks and Caicos IslandsUnited Kingdom21.694000-71.797900000000...5963596359635995599559955995599559955995
273NaNUnited Kingdom55.378100-3.436000000000...22038340220383402203834022073858220905232210298322114034221140342211403422140287
274NaNUruguay-32.522800-55.765800000000...897867897867897867899723899723899723899723899723899723899723
275NaNUzbekistan41.37749164.585262000000...238596238596238627238628238636238651238660238695238695238736
276NaNVanuatu-15.376700166.959200000000...7330750775147533762276997734773477858056
277NaNVenezuela6.423800-66.589700000000...522325522434522434522514522564522587522625522672522749522749
278NaNVietnam14.058324108.277199022222...10649809106535261065664910659358106624461066675110670570106739151067618410678359
279NaNWest Bank and Gaza31.95220035.233200000000...657060657060657060657060657060657060657060657060657060657193
280NaNWinter Olympics 202239.904200116.407400000000...535535535535535535535535535535
281NaNYemen15.55272748.516388000000...11818118181181911819118191181911819118191181911819
282NaNZambia-13.13389727.849332000000...319594319733319755319755319755319755319755320099320099320157
283NaNZimbabwe-19.01543829.154857000000...247875247911247935247990248050248050248214248214248352248536
\n", + "

284 rows × 843 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 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", + "254 NaN Tunisia \n", + "255 NaN Turkey \n", + "256 NaN US \n", + "257 NaN Uganda \n", + "258 NaN Ukraine \n", + "259 NaN United Arab Emirates \n", + "260 Anguilla United Kingdom \n", + "261 Bermuda United Kingdom \n", + "262 British Virgin Islands United Kingdom \n", + "263 Cayman Islands United Kingdom \n", + "264 Channel Islands United Kingdom \n", + "265 Falkland Islands (Malvinas) United Kingdom \n", + "266 Gibraltar United Kingdom \n", + "267 Guernsey United Kingdom \n", + "268 Isle of Man United Kingdom \n", + "269 Jersey United Kingdom \n", + "270 Montserrat United Kingdom \n", + "271 Saint Helena, Ascension and Tristan da Cunha United Kingdom \n", + "272 Turks and Caicos Islands United Kingdom \n", + "273 NaN United Kingdom \n", + "274 NaN Uruguay \n", + "275 NaN Uzbekistan \n", + "276 NaN Vanuatu \n", + "277 NaN Venezuela \n", + "278 NaN Vietnam \n", + "279 NaN West Bank and Gaza \n", + "280 NaN Winter Olympics 2022 \n", + "281 NaN Yemen \n", + "282 NaN Zambia \n", + "283 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", + "254 33.886917 9.537499 0 0 0 0 0 \n", + "255 38.963700 35.243300 0 0 0 0 0 \n", + "256 40.000000 -100.000000 1 1 2 2 5 \n", + "257 1.373333 32.290275 0 0 0 0 0 \n", + "258 48.379400 31.165600 0 0 0 0 0 \n", + "259 23.424076 53.847818 0 0 0 0 0 \n", + "260 18.220600 -63.068600 0 0 0 0 0 \n", + "261 32.307800 -64.750500 0 0 0 0 0 \n", + "262 18.420700 -64.640000 0 0 0 0 0 \n", + "263 19.313300 -81.254600 0 0 0 0 0 \n", + "264 49.372300 -2.364400 0 0 0 0 0 \n", + "265 -51.796300 -59.523600 0 0 0 0 0 \n", + "266 36.140800 -5.353600 0 0 0 0 0 \n", + "267 49.448196 -2.589490 0 0 0 0 0 \n", + "268 54.236100 -4.548100 0 0 0 0 0 \n", + "269 49.213800 -2.135800 0 0 0 0 0 \n", + "270 16.742498 -62.187366 0 0 0 0 0 \n", + "271 -7.946700 -14.355900 0 0 0 0 0 \n", + "272 21.694000 -71.797900 0 0 0 0 0 \n", + "273 55.378100 -3.436000 0 0 0 0 0 \n", + "274 -32.522800 -55.765800 0 0 0 0 0 \n", + "275 41.377491 64.585262 0 0 0 0 0 \n", + "276 -15.376700 166.959200 0 0 0 0 0 \n", + "277 6.423800 -66.589700 0 0 0 0 0 \n", + "278 14.058324 108.277199 0 2 2 2 2 \n", + "279 31.952200 35.233200 0 0 0 0 0 \n", + "280 39.904200 116.407400 0 0 0 0 0 \n", + "281 15.552727 48.516388 0 0 0 0 0 \n", + "282 -13.133897 27.849332 0 0 0 0 0 \n", + "283 -19.015438 29.154857 0 0 0 0 0 \n", + "\n", + " 1/27/20 ... 4/30/22 5/1/22 5/2/22 5/3/22 5/4/22 \\\n", + "0 0 ... 178879 178899 178901 178901 178901 \n", + "1 0 ... 275107 275167 275177 275191 275211 \n", + "2 0 ... 265780 265782 265782 265782 265782 \n", + "3 0 ... 41349 41349 41349 41349 41717 \n", + "4 0 ... 99287 99287 99287 99287 99287 \n", + "5 0 ... 11 11 11 11 11 \n", + "6 0 ... 7626 7626 7626 7626 7654 \n", + "7 0 ... 9072230 9083673 9083673 9083673 9083673 \n", + "8 0 ... 422867 422871 422874 422874 422877 \n", + "9 0 ... 104941 105739 106705 107769 108830 \n", + "10 4 ... 2287281 2294900 2304435 2316269 2334360 \n", + "11 0 ... 63289 63568 64151 64540 64983 \n", + "12 0 ... 997619 1002257 1007459 1015120 1023149 \n", + "13 0 ... 409717 413321 416371 416371 424182 \n", + "14 0 ... 136457 137359 138395 139468 140554 \n", + "15 1 ... 1561415 1576945 1586876 1597464 1609060 \n", + "16 0 ... 392423 398270 405848 415563 425704 \n", + "17 0 ... 4140543 4144906 4149004 4154244 4161004 \n", + "18 0 ... 792562 792578 792579 792585 792585 \n", + "19 0 ... 33558 33578 33582 33601 33626 \n", + "20 0 ... 568706 569091 569370 569727 570103 \n", + "21 0 ... 1952691 1952716 1952726 1952733 1952743 \n", + "22 0 ... 70080 70449 70793 71127 71127 \n", + "23 0 ... 980345 980345 980345 980868 981070 \n", + "24 0 ... 4056448 4056448 4071279 4071279 4071279 \n", + "25 0 ... 57497 57497 57497 57535 57561 \n", + "26 0 ... 26952 26952 26952 26952 26952 \n", + "27 0 ... 59163 59219 59247 59274 59358 \n", + "28 0 ... 904974 905074 905074 905097 905150 \n", + "29 0 ... 377087 377087 377087 377145 377175 \n", + ".. ... ... ... ... ... ... ... \n", + "254 0 ... 1040193 1040193 1040193 1040193 1040712 \n", + "255 0 ... 15032093 15033573 15034917 15036110 15037242 \n", + "256 5 ... 81348442 81364718 81458023 81506402 81620503 \n", + "257 0 ... 164084 164084 164104 164104 164104 \n", + "258 0 ... 5040518 5040518 5040518 5040518 5040518 \n", + "259 0 ... 898571 898811 899033 899242 899441 \n", + "260 0 ... 2788 2788 2788 2788 2788 \n", + "261 0 ... 13488 13488 13559 13559 13832 \n", + "262 0 ... 6355 6355 6355 6355 6355 \n", + "263 0 ... 22223 22223 22223 22223 22828 \n", + "264 0 ... 0 0 0 0 0 \n", + "265 0 ... 177 177 181 181 197 \n", + "266 0 ... 17837 17837 17837 17837 17837 \n", + "267 0 ... 24573 24573 24573 24573 24832 \n", + "268 0 ... 32205 32205 32205 32205 32424 \n", + "269 0 ... 49778 49778 49810 49810 49810 \n", + "270 0 ... 241 273 273 273 371 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9083673 9101319 9101319 \n", + "8 422877 422877 422877 422877 422896 \n", + "9 109879 110846 111599 112407 113368 \n", + "10 2345156 2356642 2365484 2373235 2383412 \n", + "11 64983 65659 65881 66083 66427 \n", + "12 1030172 1036786 1041450 1046200 1052748 \n", + "13 427205 424182 430466 436318 440223 \n", + "14 141647 142541 143267 144107 145182 \n", + "15 1619296 1628531 1637135 1647028 1659695 \n", + "16 433295 442481 451192 461553 473909 \n", + "17 4166759 4172760 4177928 4181545 4185678 \n", + "18 792599 792607 792618 792630 792632 \n", + "19 33655 33672 33695 33695 33748 \n", + "20 570761 571441 572082 572810 573757 \n", + "21 1952747 1952766 1952776 1952799 1952829 \n", + "22 72282 72743 73198 73592 73856 \n", + "23 981259 981838 981838 982331 982331 \n", + "24 4088336 4088336 4088336 4088336 4102082 \n", + "25 57578 57612 57612 57612 57675 \n", + "26 26952 26952 26952 26952 26952 \n", + "27 59422 59450 59483 59497 59512 \n", + "28 905212 905355 905428 905453 905453 \n", + "29 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Province/StateLatLong1/22/201/23/201/24/201/25/201/26/201/27/201/28/20...5/1/225/2/225/3/225/4/225/5/225/6/225/7/225/8/225/9/22country
Country/Region
AfghanistanNaN33.93911067.7099530000000...178899178901178901178901178905178919178922178981179010Afghanistan
AlbaniaNaN41.15330020.1683000000000...275167275177275191275211275266275310275341275366275372Albania
AlgeriaNaN28.0339001.6596000000000...265782265782265782265782265786265791265794265798265800Algeria
AndorraNaN42.5063001.5218000000000...413494134941349417174171741717417174171741717Andorra
AngolaNaN-11.20270017.8739000000000...992879928799287992879928799287992879928799287Angola
AntarcticaNaN-71.94990023.3470000000000...111111111111111111Antarctica
Antigua and BarbudaNaN17.060800-61.7964000000000...762676267626765476637663766376637663Antigua and Barbuda
ArgentinaNaN-38.416100-63.6167000000000...908367390836739083673908367390836739083673908367391013199101319Argentina
ArmeniaNaN40.06910045.0382000000000...422871422874422874422877422877422877422877422877422896Armenia
AustraliaAustralian Capital Territory-35.473500149.0124000000000...105739106705107769108830109879110846111599112407113368Australia
AustraliaNew South Wales-33.868800151.2093000000344...229490023044352316269233436023451562356642236548423732352383412Australia
AustraliaNorthern Territory-12.463400130.8456000000000...635686415164540649836498365659658816608366427Australia
AustraliaQueensland-27.469800153.0251000000000...100225710074591015120102314910301721036786104145010462001052748Australia
AustraliaSouth Australia-34.928500138.6007000000000...413321416371416371424182427205424182430466436318440223Australia
AustraliaTasmania-42.882100147.3272000000000...137359138395139468140554141647142541143267144107145182Australia
AustraliaVictoria-37.813600144.9631000000111...157694515868761597464160906016192961628531163713516470281659695Australia
AustraliaWestern Australia-31.950500115.8605000000000...398270405848415563425704433295442481451192461553473909Australia
AustriaNaN47.51620014.5501000000000...414490641490044154244416100441667594172760417792841815454185678Austria
AzerbaijanNaN40.14310047.5769000000000...792578792579792585792585792599792607792618792630792632Azerbaijan
BahamasNaN25.025885-78.0358890000000...335783358233601336263365533672336953369533748Bahamas
BahrainNaN26.02750050.5500000000000...569091569370569727570103570761571441572082572810573757Bahrain
BangladeshNaN23.68500090.3563000000000...195271619527261952733195274319527471952766195277619527991952829Bangladesh
BarbadosNaN13.193900-59.5432000000000...704497079371127711277228272743731987359273856Barbados
BelarusNaN53.70980027.9534000000000...980345980345980868981070981259981838981838982331982331Belarus
BelgiumNaN50.8333004.4699360000000...405644840712794071279407127940883364088336408833640883364102082Belgium
BelizeNaN17.189900-88.4976000000000...574975749757535575615757857612576125761257675Belize
BeninNaN9.3077002.3158000000000...269522695226952269522695226952269522695226952Benin
BhutanNaN27.51420090.4336000000000...592195924759274593585942259450594835949759512Bhutan
BoliviaNaN-16.290200-63.5887000000000...905074905074905097905150905212905355905428905453905453Bolivia
Bosnia and HerzegovinaNaN43.91590017.6791000000000...377087377087377145377175377229377229377276377276377345Bosnia and Herzegovina
..................................................................
TunisiaNaN33.8869179.5374990000000...104019310401931040193104071210407121040712104071210407121040712Tunisia
TurkeyNaN38.96370035.2433000000000...150335731503491715036110150372421503849515040238150418991504337915044921Turkey
USNaN40.000000-100.0000001122555...813647188145802381506402816205038170760181831608818584988186347981973661US
UgandaNaN1.37333332.2902750000000...164084164104164104164104164104164118164118164118164149Uganda
UkraineNaN48.37940031.1656000000000...504051850405185040518504051850405185040518504051850405185040518Ukraine
United Arab EmiratesNaN23.42407653.8478180000000...898811899033899242899441899637899835900026900251900484United Arab Emirates
United KingdomAnguilla18.220600-63.0686000000000...278827882788278827882788278827882788United Kingdom
United KingdomBermuda32.307800-64.7505000000000...134881355913559138321383213832138321383213832United Kingdom
United KingdomBritish Virgin Islands18.420700-64.6400000000000...635563556355635563556467646764676467United Kingdom
United KingdomCayman Islands19.313300-81.2546000000000...222232222322223228282282822828228282282822828United Kingdom
United KingdomChannel Islands49.372300-2.3644000000000...000000000United Kingdom
United KingdomFalkland Islands (Malvinas)-51.796300-59.5236000000000...177181181197197392392392392United Kingdom
United KingdomGibraltar36.140800-5.3536000000000...178371783717837178371799617996179961799617996United Kingdom
United KingdomGuernsey49.448196-2.5894900000000...245732457324573248322483224832248322483224832United Kingdom
United KingdomIsle of Man54.236100-4.5481000000000...322053220532205324243242432424324243242432424United Kingdom
United KingdomJersey49.213800-2.1358000000000...497784981049810498104981050033500335003350033United Kingdom
United KingdomMontserrat16.742498-62.1873660000000...273273273371452452493493493United Kingdom
United KingdomSaint Helena, Ascension and Tristan da Cunha-7.946700-14.3559000000000...444444444United Kingdom
United KingdomTurks and Caicos Islands21.694000-71.7979000000000...596359635995599559955995599559955995United Kingdom
United KingdomNaN55.378100-3.4360000000000...220383402203834022073858220905232210298322114034221140342211403422140287United Kingdom
UruguayNaN-32.522800-55.7658000000000...897867897867899723899723899723899723899723899723899723Uruguay
UzbekistanNaN41.37749164.5852620000000...238596238627238628238636238651238660238695238695238736Uzbekistan
VanuatuNaN-15.376700166.9592000000000...750775147533762276997734773477858056Vanuatu
VenezuelaNaN6.423800-66.5897000000000...522434522434522514522564522587522625522672522749522749Venezuela
VietnamNaN14.058324108.2771990222222...106535261065664910659358106624461066675110670570106739151067618410678359Vietnam
West Bank and GazaNaN31.95220035.2332000000000...657060657060657060657060657060657060657060657060657193West Bank and Gaza
Winter Olympics 2022NaN39.904200116.4074000000000...535535535535535535535535535Winter Olympics 2022
YemenNaN15.55272748.5163880000000...118181181911819118191181911819118191181911819Yemen
ZambiaNaN-13.13389727.8493320000000...319733319755319755319755319755319755320099320099320157Zambia
ZimbabweNaN-19.01543829.1548570000000...247911247935247990248050248050248214248214248352248536Zimbabwe
\n", + "

284 rows × 843 columns

\n", + "
" + ], + "text/plain": [ + " Province/State \\\n", + "Country/Region \n", + "Afghanistan NaN \n", + "Albania NaN \n", + "Algeria NaN \n", + "Andorra NaN \n", + "Angola NaN \n", + "Antarctica NaN \n", + "Antigua and Barbuda NaN \n", + "Argentina NaN \n", + "Armenia NaN \n", + "Australia Australian Capital Territory \n", + "Australia New South Wales \n", + "Australia Northern Territory \n", + "Australia Queensland \n", + "Australia South Australia \n", + "Australia Tasmania \n", + "Australia Victoria \n", + "Australia Western Australia \n", + "Austria NaN \n", + "Azerbaijan NaN \n", + "Bahamas NaN \n", + "Bahrain NaN \n", + "Bangladesh NaN \n", + "Barbados NaN \n", + "Belarus NaN \n", + "Belgium NaN \n", + "Belize NaN \n", + "Benin NaN \n", + "Bhutan NaN \n", + "Bolivia NaN \n", + "Bosnia and Herzegovina NaN \n", + "... ... \n", + "Tunisia NaN \n", + "Turkey NaN \n", + "US NaN \n", + "Uganda NaN \n", + "Ukraine NaN \n", + "United Arab Emirates NaN \n", + "United Kingdom Anguilla \n", + "United Kingdom Bermuda \n", + "United Kingdom British Virgin Islands \n", + "United Kingdom Cayman Islands \n", + "United Kingdom Channel Islands \n", + "United Kingdom Falkland Islands (Malvinas) \n", + "United Kingdom Gibraltar \n", + "United Kingdom Guernsey \n", + "United Kingdom Isle of Man \n", + "United Kingdom Jersey \n", + "United Kingdom Montserrat \n", + "United Kingdom Saint Helena, Ascension and Tristan da Cunha \n", + "United Kingdom Turks and Caicos Islands \n", + "United Kingdom NaN \n", + "Uruguay NaN \n", + "Uzbekistan NaN \n", + "Vanuatu NaN \n", + "Venezuela NaN \n", + "Vietnam NaN \n", + "West Bank and Gaza NaN \n", + "Winter Olympics 2022 NaN \n", + "Yemen NaN \n", + "Zambia NaN \n", + "Zimbabwe NaN \n", + "\n", + " Lat Long 1/22/20 1/23/20 1/24/20 \\\n", + "Country/Region \n", + "Afghanistan 33.939110 67.709953 0 0 0 \n", + "Albania 41.153300 20.168300 0 0 0 \n", + "Algeria 28.033900 1.659600 0 0 0 \n", + "Andorra 42.506300 1.521800 0 0 0 \n", + "Angola -11.202700 17.873900 0 0 0 \n", + "Antarctica -71.949900 23.347000 0 0 0 \n", + "Antigua and Barbuda 17.060800 -61.796400 0 0 0 \n", + "Argentina -38.416100 -63.616700 0 0 0 \n", + "Armenia 40.069100 45.038200 0 0 0 \n", + "Australia -35.473500 149.012400 0 0 0 \n", + "Australia -33.868800 151.209300 0 0 0 \n", + "Australia -12.463400 130.845600 0 0 0 \n", + "Australia -27.469800 153.025100 0 0 0 \n", + "Australia -34.928500 138.600700 0 0 0 \n", + "Australia -42.882100 147.327200 0 0 0 \n", + "Australia -37.813600 144.963100 0 0 0 \n", + "Australia -31.950500 115.860500 0 0 0 \n", + "Austria 47.516200 14.550100 0 0 0 \n", + "Azerbaijan 40.143100 47.576900 0 0 0 \n", + "Bahamas 25.025885 -78.035889 0 0 0 \n", + "Bahrain 26.027500 50.550000 0 0 0 \n", + "Bangladesh 23.685000 90.356300 0 0 0 \n", + "Barbados 13.193900 -59.543200 0 0 0 \n", + "Belarus 53.709800 27.953400 0 0 0 \n", + "Belgium 50.833300 4.469936 0 0 0 \n", + "Belize 17.189900 -88.497600 0 0 0 \n", + "Benin 9.307700 2.315800 0 0 0 \n", + "Bhutan 27.514200 90.433600 0 0 0 \n", + "Bolivia -16.290200 -63.588700 0 0 0 \n", + "Bosnia and Herzegovina 43.915900 17.679100 0 0 0 \n", + "... ... ... ... ... ... \n", + "Tunisia 33.886917 9.537499 0 0 0 \n", + "Turkey 38.963700 35.243300 0 0 0 \n", + "US 40.000000 -100.000000 1 1 2 \n", + "Uganda 1.373333 32.290275 0 0 0 \n", + "Ukraine 48.379400 31.165600 0 0 0 \n", + "United Arab Emirates 23.424076 53.847818 0 0 0 \n", + "United Kingdom 18.220600 -63.068600 0 0 0 \n", + "United Kingdom 32.307800 -64.750500 0 0 0 \n", + "United Kingdom 18.420700 -64.640000 0 0 0 \n", + "United Kingdom 19.313300 -81.254600 0 0 0 \n", + "United Kingdom 49.372300 -2.364400 0 0 0 \n", + "United Kingdom -51.796300 -59.523600 0 0 0 \n", + "United Kingdom 36.140800 -5.353600 0 0 0 \n", + "United Kingdom 49.448196 -2.589490 0 0 0 \n", + "United Kingdom 54.236100 -4.548100 0 0 0 \n", + "United Kingdom 49.213800 -2.135800 0 0 0 \n", + "United Kingdom 16.742498 -62.187366 0 0 0 \n", + "United Kingdom -7.946700 -14.355900 0 0 0 \n", + "United Kingdom 21.694000 -71.797900 0 0 0 \n", + "United Kingdom 55.378100 -3.436000 0 0 0 \n", + "Uruguay -32.522800 -55.765800 0 0 0 \n", + "Uzbekistan 41.377491 64.585262 0 0 0 \n", + "Vanuatu -15.376700 166.959200 0 0 0 \n", + "Venezuela 6.423800 -66.589700 0 0 0 \n", + "Vietnam 14.058324 108.277199 0 2 2 \n", + "West Bank and Gaza 31.952200 35.233200 0 0 0 \n", + "Winter Olympics 2022 39.904200 116.407400 0 0 0 \n", + "Yemen 15.552727 48.516388 0 0 0 \n", + "Zambia -13.133897 27.849332 0 0 0 \n", + "Zimbabwe -19.015438 29.154857 0 0 0 \n", + "\n", + " 1/25/20 1/26/20 1/27/20 1/28/20 \\\n", + "Country/Region \n", + "Afghanistan 0 0 0 0 \n", + "Albania 0 0 0 0 \n", + "Algeria 0 0 0 0 \n", + "Andorra 0 0 0 0 \n", + "Angola 0 0 0 0 \n", + "Antarctica 0 0 0 0 \n", + "Antigua and Barbuda 0 0 0 0 \n", + "Argentina 0 0 0 0 \n", + "Armenia 0 0 0 0 \n", + "Australia 0 0 0 0 \n", + "Australia 0 3 4 4 \n", + "Australia 0 0 0 0 \n", + "Australia 0 0 0 0 \n", + "Australia 0 0 0 0 \n", + "Australia 0 0 0 0 \n", + "Australia 0 1 1 1 \n", + "Australia 0 0 0 0 \n", + "Austria 0 0 0 0 \n", + "Azerbaijan 0 0 0 0 \n", + "Bahamas 0 0 0 0 \n", + "Bahrain 0 0 0 0 \n", + "Bangladesh 0 0 0 0 \n", + "Barbados 0 0 0 0 \n", + "Belarus 0 0 0 0 \n", + "Belgium 0 0 0 0 \n", + "Belize 0 0 0 0 \n", + "Benin 0 0 0 0 \n", + "Bhutan 0 0 0 0 \n", + "Bolivia 0 0 0 0 \n", + "Bosnia and Herzegovina 0 0 0 0 \n", + "... ... ... ... ... \n", + "Tunisia 0 0 0 0 \n", + "Turkey 0 0 0 0 \n", + "US 2 5 5 5 \n", + "Uganda 0 0 0 0 \n", + "Ukraine 0 0 0 0 \n", + "United Arab Emirates 0 0 0 0 \n", + "United Kingdom 0 0 0 0 \n", + "United Kingdom 0 0 0 0 \n", + "United Kingdom 0 0 0 0 \n", + "United Kingdom 0 0 0 0 \n", + "United Kingdom 0 0 0 0 \n", + "United Kingdom 0 0 0 0 \n", + "United Kingdom 0 0 0 0 \n", + "United Kingdom 0 0 0 0 \n", + "United Kingdom 0 0 0 0 \n", + "United Kingdom 0 0 0 0 \n", + "United Kingdom 0 0 0 0 \n", + "United Kingdom 0 0 0 0 \n", + "United Kingdom 0 0 0 0 \n", + "United Kingdom 0 0 0 0 \n", + "Uruguay 0 0 0 0 \n", + "Uzbekistan 0 0 0 0 \n", + "Vanuatu 0 0 0 0 \n", + "Venezuela 0 0 0 0 \n", + "Vietnam 2 2 2 2 \n", + "West Bank and Gaza 0 0 0 0 \n", + "Winter Olympics 2022 0 0 0 0 \n", + "Yemen 0 0 0 0 \n", + "Zambia 0 0 0 0 \n", + "Zimbabwe 0 0 0 0 \n", + "\n", + " ... 5/1/22 5/2/22 5/3/22 \\\n", + "Country/Region ... \n", + "Afghanistan ... 178899 178901 178901 \n", + "Albania ... 275167 275177 275191 \n", + "Algeria ... 265782 265782 265782 \n", + "Andorra ... 41349 41349 41349 \n", + "Angola ... 99287 99287 99287 \n", + "Antarctica ... 11 11 11 \n", + "Antigua and Barbuda ... 7626 7626 7626 \n", + "Argentina ... 9083673 9083673 9083673 \n", + "Armenia ... 422871 422874 422874 \n", + "Australia ... 105739 106705 107769 \n", + "Australia ... 2294900 2304435 2316269 \n", + "Australia ... 63568 64151 64540 \n", + "Australia ... 1002257 1007459 1015120 \n", + "Australia ... 413321 416371 416371 \n", + "Australia ... 137359 138395 139468 \n", + "Australia ... 1576945 1586876 1597464 \n", + "Australia ... 398270 405848 415563 \n", + "Austria ... 4144906 4149004 4154244 \n", + "Azerbaijan ... 792578 792579 792585 \n", + "Bahamas ... 33578 33582 33601 \n", + "Bahrain ... 569091 569370 569727 \n", + "Bangladesh ... 1952716 1952726 1952733 \n", + "Barbados ... 70449 70793 71127 \n", + "Belarus ... 980345 980345 980868 \n", + "Belgium ... 4056448 4071279 4071279 \n", + "Belize ... 57497 57497 57535 \n", + "Benin ... 26952 26952 26952 \n", + "Bhutan ... 59219 59247 59274 \n", + "Bolivia ... 905074 905074 905097 \n", + "Bosnia and Herzegovina ... 377087 377087 377145 \n", + "... ... ... ... ... \n", + "Tunisia ... 1040193 1040193 1040193 \n", + "Turkey ... 15033573 15034917 15036110 \n", + "US ... 81364718 81458023 81506402 \n", + "Uganda ... 164084 164104 164104 \n", + "Ukraine ... 5040518 5040518 5040518 \n", + "United Arab Emirates ... 898811 899033 899242 \n", + "United Kingdom ... 2788 2788 2788 \n", + "United Kingdom ... 13488 13559 13559 \n", + "United Kingdom ... 6355 6355 6355 \n", + "United Kingdom ... 22223 22223 22223 \n", + "United Kingdom ... 0 0 0 \n", + "United Kingdom ... 177 181 181 \n", + "United Kingdom ... 17837 17837 17837 \n", + "United Kingdom ... 24573 24573 24573 \n", + "United Kingdom ... 32205 32205 32205 \n", + "United Kingdom ... 49778 49810 49810 \n", + "United Kingdom ... 273 273 273 \n", + "United Kingdom ... 4 4 4 \n", + "United Kingdom ... 5963 5963 5995 \n", + "United Kingdom ... 22038340 22038340 22073858 \n", + "Uruguay ... 897867 897867 899723 \n", + "Uzbekistan ... 238596 238627 238628 \n", + "Vanuatu ... 7507 7514 7533 \n", + "Venezuela ... 522434 522434 522514 \n", + "Vietnam ... 10653526 10656649 10659358 \n", + "West Bank and Gaza ... 657060 657060 657060 \n", + "Winter Olympics 2022 ... 535 535 535 \n", + "Yemen ... 11818 11819 11819 \n", + "Zambia ... 319733 319755 319755 \n", + "Zimbabwe ... 247911 247935 247990 \n", + "\n", + " 5/4/22 5/5/22 5/6/22 5/7/22 5/8/22 \\\n", + "Country/Region \n", + "Afghanistan 178901 178905 178919 178922 178981 \n", + "Albania 275211 275266 275310 275341 275366 \n", + "Algeria 265782 265786 265791 265794 265798 \n", + "Andorra 41717 41717 41717 41717 41717 \n", + "Angola 99287 99287 99287 99287 99287 \n", + "Antarctica 11 11 11 11 11 \n", + "Antigua and Barbuda 7654 7663 7663 7663 7663 \n", + "Argentina 9083673 9083673 9083673 9083673 9101319 \n", + "Armenia 422877 422877 422877 422877 422877 \n", + "Australia 108830 109879 110846 111599 112407 \n", + "Australia 2334360 2345156 2356642 2365484 2373235 \n", + "Australia 64983 64983 65659 65881 66083 \n", + "Australia 1023149 1030172 1036786 1041450 1046200 \n", + "Australia 424182 427205 424182 430466 436318 \n", + "Australia 140554 141647 142541 143267 144107 \n", + "Australia 1609060 1619296 1628531 1637135 1647028 \n", + "Australia 425704 433295 442481 451192 461553 \n", + "Austria 4161004 4166759 4172760 4177928 4181545 \n", + "Azerbaijan 792585 792599 792607 792618 792630 \n", + "Bahamas 33626 33655 33672 33695 33695 \n", + "Bahrain 570103 570761 571441 572082 572810 \n", + "Bangladesh 1952743 1952747 1952766 1952776 1952799 \n", + "Barbados 71127 72282 72743 73198 73592 \n", + "Belarus 981070 981259 981838 981838 982331 \n", + "Belgium 4071279 4088336 4088336 4088336 4088336 \n", + "Belize 57561 57578 57612 57612 57612 \n", + "Benin 26952 26952 26952 26952 26952 \n", + "Bhutan 59358 59422 59450 59483 59497 \n", + "Bolivia 905150 905212 905355 905428 905453 \n", + "Bosnia and Herzegovina 377175 377229 377229 377276 377276 \n", + "... ... ... ... ... ... \n", + "Tunisia 1040712 1040712 1040712 1040712 1040712 \n", + "Turkey 15037242 15038495 15040238 15041899 15043379 \n", + "US 81620503 81707601 81831608 81858498 81863479 \n", + "Uganda 164104 164104 164118 164118 164118 \n", + "Ukraine 5040518 5040518 5040518 5040518 5040518 \n", + "United Arab Emirates 899441 899637 899835 900026 900251 \n", + "United Kingdom 2788 2788 2788 2788 2788 \n", + "United Kingdom 13832 13832 13832 13832 13832 \n", + "United Kingdom 6355 6355 6467 6467 6467 \n", + "United Kingdom 22828 22828 22828 22828 22828 \n", + "United Kingdom 0 0 0 0 0 \n", + "United Kingdom 197 197 392 392 392 \n", + "United Kingdom 17837 17996 17996 17996 17996 \n", + "United Kingdom 24832 24832 24832 24832 24832 \n", + "United Kingdom 32424 32424 32424 32424 32424 \n", + "United Kingdom 49810 49810 50033 50033 50033 \n", + "United Kingdom 371 452 452 493 493 \n", + "United Kingdom 4 4 4 4 4 \n", + "United Kingdom 5995 5995 5995 5995 5995 \n", + "United Kingdom 22090523 22102983 22114034 22114034 22114034 \n", + "Uruguay 899723 899723 899723 899723 899723 \n", + "Uzbekistan 238636 238651 238660 238695 238695 \n", + "Vanuatu 7622 7699 7734 7734 7785 \n", + "Venezuela 522564 522587 522625 522672 522749 \n", + "Vietnam 10662446 10666751 10670570 10673915 10676184 \n", + "West Bank and Gaza 657060 657060 657060 657060 657060 \n", + "Winter Olympics 2022 535 535 535 535 535 \n", + "Yemen 11819 11819 11819 11819 11819 \n", + "Zambia 319755 319755 319755 320099 320099 \n", + "Zimbabwe 248050 248050 248214 248214 248352 \n", + "\n", + " 5/9/22 country \n", + "Country/Region \n", + "Afghanistan 179010 Afghanistan \n", + "Albania 275372 Albania \n", + "Algeria 265800 Algeria \n", + "Andorra 41717 Andorra \n", + "Angola 99287 Angola \n", + "Antarctica 11 Antarctica \n", + "Antigua and Barbuda 7663 Antigua and Barbuda \n", + "Argentina 9101319 Argentina \n", + "Armenia 422896 Armenia \n", + "Australia 113368 Australia \n", + "Australia 2383412 Australia \n", + "Australia 66427 Australia \n", + "Australia 1052748 Australia \n", + "Australia 440223 Australia \n", + "Australia 145182 Australia \n", + "Australia 1659695 Australia \n", + "Australia 473909 Australia \n", + "Austria 4185678 Austria \n", + "Azerbaijan 792632 Azerbaijan \n", + "Bahamas 33748 Bahamas \n", + "Bahrain 573757 Bahrain \n", + "Bangladesh 1952829 Bangladesh \n", + "Barbados 73856 Barbados \n", + "Belarus 982331 Belarus \n", + "Belgium 4102082 Belgium \n", + "Belize 57675 Belize \n", + "Benin 26952 Benin \n", + "Bhutan 59512 Bhutan \n", + "Bolivia 905453 Bolivia \n", + "Bosnia and Herzegovina 377345 Bosnia and Herzegovina \n", + "... ... ... \n", + "Tunisia 1040712 Tunisia \n", + "Turkey 15044921 Turkey \n", + "US 81973661 US \n", + "Uganda 164149 Uganda \n", + "Ukraine 5040518 Ukraine \n", + "United Arab Emirates 900484 United Arab Emirates \n", + "United Kingdom 2788 United Kingdom \n", + "United Kingdom 13832 United Kingdom \n", + "United Kingdom 6467 United Kingdom \n", + "United Kingdom 22828 United Kingdom \n", + "United Kingdom 0 United Kingdom \n", + "United Kingdom 392 United Kingdom \n", + "United Kingdom 17996 United Kingdom \n", + "United Kingdom 24832 United Kingdom \n", + "United Kingdom 32424 United Kingdom \n", + "United Kingdom 50033 United Kingdom \n", + "United Kingdom 493 United Kingdom \n", + "United Kingdom 4 United Kingdom \n", + "United Kingdom 5995 United Kingdom \n", + "United Kingdom 22140287 United Kingdom \n", + "Uruguay 899723 Uruguay \n", + "Uzbekistan 238736 Uzbekistan \n", + "Vanuatu 8056 Vanuatu \n", + "Venezuela 522749 Venezuela \n", + "Vietnam 10678359 Vietnam \n", + "West Bank and Gaza 657193 West Bank and Gaza \n", + "Winter Olympics 2022 535 Winter Olympics 2022 \n", + "Yemen 11819 Yemen \n", + "Zambia 320157 Zambia \n", + "Zimbabwe 248536 Zimbabwe \n", + "\n", + "[284 rows x 843 columns]" + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sorted_data = raw_data.set_index('Country/Region').sort_index()\n", + "sorted_data" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [ + { + "ename": "TypeError", + "evalue": "Empty 'DataFrame': no numeric data to plot", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0mbelgium\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msorted_data\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mloc\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'Belgium'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'1/22/20'\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mbelgium\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/pandas/plotting/_core.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, kind, ax, figsize, use_index, title, grid, legend, style, logx, logy, loglog, xticks, yticks, xlim, ylim, rot, fontsize, colormap, table, yerr, xerr, label, secondary_y, **kwds)\u001b[0m\n\u001b[1;32m 2501\u001b[0m \u001b[0mcolormap\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcolormap\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtable\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtable\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0myerr\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0myerr\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2502\u001b[0m \u001b[0mxerr\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mxerr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlabel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlabel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msecondary_y\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msecondary_y\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2503\u001b[0;31m **kwds)\n\u001b[0m\u001b[1;32m 2504\u001b[0m \u001b[0m__call__\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__doc__\u001b[0m \u001b[0;34m=\u001b[0m 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1927\u001b[0;31m **kwds)\n\u001b[0m\u001b[1;32m 1928\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1929\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/pandas/plotting/_core.py\u001b[0m in \u001b[0;36m_plot\u001b[0;34m(data, x, y, subplots, ax, kind, **kwds)\u001b[0m\n\u001b[1;32m 1727\u001b[0m \u001b[0mplot_obj\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mklass\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msubplots\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msubplots\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0max\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0max\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkind\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mkind\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1728\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1729\u001b[0;31m \u001b[0mplot_obj\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgenerate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1730\u001b[0m \u001b[0mplot_obj\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdraw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1731\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mplot_obj\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/pandas/plotting/_core.py\u001b[0m in \u001b[0;36mgenerate\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 248\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mgenerate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 249\u001b[0m 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364\u001b[0m raise TypeError('Empty {0!r}: no numeric data to '\n\u001b[0;32m--> 365\u001b[0;31m 'plot'.format(numeric_data.__class__.__name__))\n\u001b[0m\u001b[1;32m 366\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 367\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnumeric_data\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mTypeError\u001b[0m: Empty 'DataFrame': no numeric data to plot" + ] + } + ], + "source": [ + "belgium = sorted_data.loc['Belgium', '1/22/20':]\n", + "belgium.plot()" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Province/StateNaNNaNNaNNaNNaNNaNNaNNaNNaNAustralian Capital Territory...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
Lat33.939141.153328.033942.5063-11.2027-71.949917.0608-38.416140.0691-35.4735...-32.522841.3775-15.37676.423814.058331.952239.904215.5527-13.1339-19.0154
Long67.7120.16831.65961.521817.873923.347-61.7964-63.616745.0382149.012...-55.765864.5853166.959-66.5897108.27735.2332116.40748.516427.849329.1549
1/22/200000000000...0000000000
1/23/200000000000...0000200000
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1/25/200000000000...0000200000
1/26/200000000000...0000200000
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1/28/200000000000...0000200000
1/29/200000000000...0000200000
1/30/200000000000...0000200000
1/31/200000000000...0000200000
2/1/200000000000...0000600000
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2/3/200000000000...0000800000
2/4/200000000000...0000800000
2/5/200000000000...0000800000
2/6/200000000000...00001000000
2/7/200000000000...00001000000
2/8/200000000000...00001300000
2/9/200000000000...00001300000
2/10/200000000000...00001400000
2/11/200000000000...00001500000
2/12/200000000000...00001500000
2/13/200000000000...00001600000
2/14/200000000000...00001600000
2/15/200000000000...00001600000
2/16/200000000000...00001600000
2/17/200000000000...00001600000
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11819 319755 247990 \n", + "5/4/22 535 11819 319755 248050 \n", + "5/5/22 535 11819 319755 248050 \n", + "5/6/22 535 11819 319755 248214 \n", + "5/7/22 535 11819 320099 248214 \n", + "5/8/22 535 11819 320099 248352 \n", + "5/9/22 535 11819 320157 248536 \n", + "country Winter Olympics 2022 Yemen Zambia Zimbabwe \n", + "\n", + "[843 rows x 284 columns]" + ] + }, + "execution_count": 44, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "prova = sorted_data.T\n", + "prova" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [ + { + "ename": "TypeError", + "evalue": "Empty 'DataFrame': no numeric data to plot", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mprova\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'Belgium'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m20\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/pandas/plotting/_core.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, kind, ax, figsize, use_index, title, grid, legend, style, logx, logy, loglog, xticks, yticks, xlim, ylim, rot, fontsize, colormap, table, yerr, xerr, label, secondary_y, **kwds)\u001b[0m\n\u001b[1;32m 2501\u001b[0m \u001b[0mcolormap\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcolormap\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtable\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtable\u001b[0m\u001b[0;34m,\u001b[0m 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logx, logy, loglog, xticks, yticks, xlim, ylim, rot, fontsize, colormap, table, yerr, xerr, label, secondary_y, **kwds)\u001b[0m\n\u001b[1;32m 1925\u001b[0m \u001b[0myerr\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0myerr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mxerr\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mxerr\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1926\u001b[0m \u001b[0mlabel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlabel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msecondary_y\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msecondary_y\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1927\u001b[0;31m **kwds)\n\u001b[0m\u001b[1;32m 1928\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1929\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/pandas/plotting/_core.py\u001b[0m in \u001b[0;36m_plot\u001b[0;34m(data, x, y, subplots, ax, kind, **kwds)\u001b[0m\n\u001b[1;32m 1727\u001b[0m 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\u001b[0mplot_obj\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/pandas/plotting/_core.py\u001b[0m in \u001b[0;36mgenerate\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 248\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mgenerate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 249\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_args_adjust\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 250\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_compute_plot_data\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 251\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_setup_subplots\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 252\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_make_plot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/pandas/plotting/_core.py\u001b[0m in \u001b[0;36m_compute_plot_data\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 363\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mis_empty\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 364\u001b[0m raise TypeError('Empty {0!r}: no numeric data to '\n\u001b[0;32m--> 365\u001b[0;31m 'plot'.format(numeric_data.__class__.__name__))\n\u001b[0m\u001b[1;32m 366\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 367\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnumeric_data\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mTypeError\u001b[0m: Empty 'DataFrame': no numeric data to plot" + ] + } + ], + "source": [ + "prova['Belgium'][-20:].plot()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], "metadata": { "kernelspec": { "display_name": "Python 3", @@ -16,10 +5701,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.3" + "version": "3.6.4" } }, "nbformat": 4, "nbformat_minor": 2 } -