diff --git a/module2/exo5/exo5_fr.ipynb b/module2/exo5/exo5_fr.ipynb index 26ad6d94fa840f788a57621b06dc6af83a848391..00894067f0c51f8db5a62bf8df1f6ba29eb0dc21 100644 --- a/module2/exo5/exo5_fr.ipynb +++ b/module2/exo5/exo5_fr.ipynb @@ -705,7 +705,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.3" + "version": "3.6.4" } }, "nbformat": 4, diff --git a/module3/exo3/exercice.ipynb b/module3/exo3/exercice.ipynb index 0bbbe371b01e359e381e43239412d77bf53fb1fb..ca04ff6bf50afde5b63e140e8aaa5496d28d5d50 100644 --- a/module3/exo3/exercice.ipynb +++ b/module3/exo3/exercice.ipynb @@ -1,5 +1,1840 @@ { - "cells": [], + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Autour du Covid19" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "%matplotlib inline\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np \n", + "import pandas as pd\n", + "import isoweekk" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Dowload data" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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1NaNAlbania41.15330020.168300000000...10255104061055310704108601102111185113531152011672
2NaNAlgeria28.0339001.659600000000...46364466534693847216474884775248007482544849648734
3NaNAndorra42.5063001.521800000000...1215126112611301130113441344134414381438
4NaNAngola-11.20270017.873900000000...2965298130333092321732793335338834393569
5NaNAntigua and Barbuda17.060800-61.796400000000...95959595959595959595
6NaNArgentina-38.416100-63.616700000000...478792488007500034512293524198535705546481555537565446577338
7NaNArmenia40.06910045.038200000000...44783448454495345152453264550345675458624596946119
8Australian Capital TerritoryAustralia-35.473500149.012400000000...113113113113113113113113113113
9New South WalesAustralia-33.868800151.209300000034...4118412641354142415241574166417041774185
10Northern TerritoryAustralia-12.463400130.845600000000...33333333333333333333
11QueenslandAustralia-27.469800153.025100000000...1133113411431143114511491149114911501149
12South AustraliaAustralia-34.928500138.600700000000...464464465465465466466466466466
13TasmaniaAustralia-42.882100147.327200000000...230230230230230230230230230230
14VictoriaAustralia-37.813600144.963100000011...19574196151968819739197671980019835198721991119943
15Western AustraliaAustralia-31.950500115.860500000000...656658658659659659659659659659
16NaNAustria47.51620014.550100000000...29271295613008130583312473182732696331593354134305
17NaNAzerbaijan40.14310047.576900000000...37329374183755737732378743803738172383273840338517
18NaNBahamas25.025885-78.035889000000...2506254625852721272128142928292830083032
19NaNBahrain26.02750050.550000000000...55415560765677857450582075883959586603076096561643
20NaNBangladesh23.68500090.356300000000...325157327359329251331078332970334762336044337520339332341056
21NaNBarbados13.193900-59.543200000000...178179180180180180180181183184
22NaNBelarus53.70980027.953400000000...72859730317320873402735917378473975741737436074552
23NaNBelgium50.8333004.469936000000...88367887698914189691905689153792478934559430694795
24NaNBelize17.189900-88.497600000000...1194130713611365136514351458148015011528
25NaNBenin9.3077002.315800000000...2213221322132242224222422242226722672267
26NaNBhutan27.51420090.433600000000...228233234234238241244245245246
27NaNBolivia-16.290200-63.588700000000...120769121604122308123345124205125172125982126791127619128286
28NaNBosnia and Herzegovina43.91590017.679100000000...21560216602196122258225442283423138234652363523929
29NaNBotswana-22.32850024.684900000000...2002212621262126225222522252225224632463
..................................................................
236NaNThailand15.870032100.992541235788...3445344634473454346134613473347534753490
237NaNTimor-Leste-8.874217125.727539000000...27272727272727272727
238NaNTogo8.6195000.824800000000...1488149315131528153715481555157215781595
239NaNTrinidad and Tobago10.691800-61.222500000000...2250227723912588269828252993304231413223
240NaNTunisia33.8869179.537499000000...5041512454175417588262596635663573827623
241NaNTurkey38.96370035.243300000000...279806281509283270284943286455288126289635291162292878294620
242NaNUS40.000000-100.000000112255...6276365630062263270096360212639610064436526485123652012265536526593269
243NaNUganda1.37333332.290275000000...3667377639004101429143774703479949785123
244NaNUkraine48.37940031.165600000000...139171141424143914146511149146152373155558158122160679163678
245NaNUnited Arab Emirates23.42407653.847818000000...73984744547509875981769117784278849794898026680940
246AnguillaUnited Kingdom18.220600-63.068600000000...3333333333
247BermudaUnited Kingdom32.307800-64.750500000000...175175175177177177177177177177
248British Virgin IslandsUnited Kingdom18.420700-64.640000000000...63636363636366666666
249Cayman IslandsUnited Kingdom19.313300-81.254600000000...205205205207208208208208208208
250Channel IslandsUnited Kingdom49.372300-2.364400000000...626628629631631633633633633639
251Falkland Islands (Malvinas)United Kingdom-51.796300-59.523600000000...13131313131313131313
252GibraltarUnited Kingdom36.140800-5.353600000000...315315320322323323327330330334
253Isle of ManUnited Kingdom54.236100-4.548100000000...337337337337337337337337339339
254MontserratUnited Kingdom16.742498-62.187366000000...13131313131313131313
255Turks and Caicos IslandsUnited Kingdom21.694000-71.797900000000...598599614628638641641646648650
256NaNUnited Kingdom55.378100-3.436000000000...347152350100352560355219358138361677365174368504371125374228
257NaNUruguay-32.522800-55.765800000000...1679169317121741175917731780180818121827
258NaNUzbekistan41.37749164.585262000000...43587438934428144930454734616046721472874783648429
259NaNVenezuela6.423800-66.589700000000...53289543505556356751578235866359630605406156962655
260NaNVietnam14.058324108.277199022222...1049104910541059105910601060106310631063
261NaNWest Bank and Gaza31.95220035.233200000000...26127267792736327919286642925629906305743136232250
262NaNWestern Sahara24.215500-12.885800000000...10101010101010101010
263NaNYemen15.55272748.516388000000...1987198919941999200320072009201120132016
264NaNZambia-13.13389727.849332000000...12776128361295213112132141332313466135391372013819
265NaNZimbabwe-19.01543829.154857000000...6837729873887429745374797508752675317576
\n", + "

266 rows × 242 columns

\n", + "
" + ], + "text/plain": [ + " Province/State Country/Region Lat \\\n", + "0 NaN Afghanistan 33.939110 \n", + "1 NaN Albania 41.153300 \n", + "2 NaN Algeria 28.033900 \n", + "3 NaN Andorra 42.506300 \n", + "4 NaN Angola -11.202700 \n", + "5 NaN Antigua and Barbuda 17.060800 \n", + "6 NaN Argentina -38.416100 \n", + "7 NaN Armenia 40.069100 \n", + "8 Australian Capital Territory Australia -35.473500 \n", + "9 New South Wales Australia -33.868800 \n", + "10 Northern Territory Australia -12.463400 \n", + "11 Queensland Australia -27.469800 \n", + "12 South Australia Australia -34.928500 \n", + "13 Tasmania Australia -42.882100 \n", + "14 Victoria Australia -37.813600 \n", + "15 Western Australia Australia -31.950500 \n", + "16 NaN Austria 47.516200 \n", + "17 NaN Azerbaijan 40.143100 \n", + "18 NaN Bahamas 25.025885 \n", + "19 NaN Bahrain 26.027500 \n", + "20 NaN Bangladesh 23.685000 \n", + "21 NaN Barbados 13.193900 \n", + "22 NaN Belarus 53.709800 \n", + "23 NaN Belgium 50.833300 \n", + "24 NaN Belize 17.189900 \n", + "25 NaN Benin 9.307700 \n", + "26 NaN Bhutan 27.514200 \n", + "27 NaN Bolivia -16.290200 \n", + "28 NaN Bosnia and Herzegovina 43.915900 \n", + "29 NaN Botswana -22.328500 \n", + ".. ... ... ... \n", + "236 NaN Thailand 15.870032 \n", + "237 NaN Timor-Leste -8.874217 \n", + "238 NaN Togo 8.619500 \n", + "239 NaN Trinidad and Tobago 10.691800 \n", + "240 NaN Tunisia 33.886917 \n", + "241 NaN Turkey 38.963700 \n", + "242 NaN US 40.000000 \n", + "243 NaN Uganda 1.373333 \n", + "244 NaN Ukraine 48.379400 \n", + "245 NaN United Arab Emirates 23.424076 \n", + "246 Anguilla United Kingdom 18.220600 \n", + "247 Bermuda United Kingdom 32.307800 \n", + "248 British Virgin Islands United Kingdom 18.420700 \n", + "249 Cayman Islands United Kingdom 19.313300 \n", + "250 Channel Islands United Kingdom 49.372300 \n", + "251 Falkland Islands (Malvinas) United Kingdom -51.796300 \n", + "252 Gibraltar United Kingdom 36.140800 \n", + "253 Isle of Man United Kingdom 54.236100 \n", + "254 Montserrat United Kingdom 16.742498 \n", + "255 Turks and Caicos Islands United Kingdom 21.694000 \n", + "256 NaN United Kingdom 55.378100 \n", + "257 NaN Uruguay -32.522800 \n", + "258 NaN Uzbekistan 41.377491 \n", + "259 NaN Venezuela 6.423800 \n", + "260 NaN Vietnam 14.058324 \n", + "261 NaN West Bank and Gaza 31.952200 \n", + "262 NaN Western Sahara 24.215500 \n", + "263 NaN Yemen 15.552727 \n", + "264 NaN Zambia -13.133897 \n", + "265 NaN Zimbabwe -19.015438 \n", + "\n", + " Long 1/22/20 1/23/20 1/24/20 1/25/20 1/26/20 1/27/20 \\\n", + "0 67.709953 0 0 0 0 0 0 \n", + "1 20.168300 0 0 0 0 0 0 \n", + "2 1.659600 0 0 0 0 0 0 \n", + "3 1.521800 0 0 0 0 0 0 \n", + "4 17.873900 0 0 0 0 0 0 \n", + "5 -61.796400 0 0 0 0 0 0 \n", + "6 -63.616700 0 0 0 0 0 0 \n", + "7 45.038200 0 0 0 0 0 0 \n", + "8 149.012400 0 0 0 0 0 0 \n", + "9 151.209300 0 0 0 0 3 4 \n", + "10 130.845600 0 0 0 0 0 0 \n", + "11 153.025100 0 0 0 0 0 0 \n", + "12 138.600700 0 0 0 0 0 0 \n", + "13 147.327200 0 0 0 0 0 0 \n", + "14 144.963100 0 0 0 0 1 1 \n", + "15 115.860500 0 0 0 0 0 0 \n", + "16 14.550100 0 0 0 0 0 0 \n", + "17 47.576900 0 0 0 0 0 0 \n", + "18 -78.035889 0 0 0 0 0 0 \n", + "19 50.550000 0 0 0 0 0 0 \n", + "20 90.356300 0 0 0 0 0 0 \n", + "21 -59.543200 0 0 0 0 0 0 \n", + "22 27.953400 0 0 0 0 0 0 \n", + "23 4.469936 0 0 0 0 0 0 \n", + "24 -88.497600 0 0 0 0 0 0 \n", + "25 2.315800 0 0 0 0 0 0 \n", + "26 90.433600 0 0 0 0 0 0 \n", + "27 -63.588700 0 0 0 0 0 0 \n", + "28 17.679100 0 0 0 0 0 0 \n", + "29 24.684900 0 0 0 0 0 0 \n", + ".. ... ... ... ... ... ... ... \n", + "236 100.992541 2 3 5 7 8 8 \n", + "237 125.727539 0 0 0 0 0 0 \n", + "238 0.824800 0 0 0 0 0 0 \n", + "239 -61.222500 0 0 0 0 0 0 \n", + "240 9.537499 0 0 0 0 0 0 \n", + "241 35.243300 0 0 0 0 0 0 \n", + "242 -100.000000 1 1 2 2 5 5 \n", + "243 32.290275 0 0 0 0 0 0 \n", + "244 31.165600 0 0 0 0 0 0 \n", + "245 53.847818 0 0 0 0 0 0 \n", + "246 -63.068600 0 0 0 0 0 0 \n", + "247 -64.750500 0 0 0 0 0 0 \n", + "248 -64.640000 0 0 0 0 0 0 \n", + "249 -81.254600 0 0 0 0 0 0 \n", + "250 -2.364400 0 0 0 0 0 0 \n", + "251 -59.523600 0 0 0 0 0 0 \n", + "252 -5.353600 0 0 0 0 0 0 \n", + "253 -4.548100 0 0 0 0 0 0 \n", + "254 -62.187366 0 0 0 0 0 0 \n", + "255 -71.797900 0 0 0 0 0 0 \n", + "256 -3.436000 0 0 0 0 0 0 \n", + "257 -55.765800 0 0 0 0 0 0 \n", + "258 64.585262 0 0 0 0 0 0 \n", + "259 -66.589700 0 0 0 0 0 0 \n", + "260 108.277199 0 2 2 2 2 2 \n", + "261 35.233200 0 0 0 0 0 0 \n", + "262 -12.885800 0 0 0 0 0 0 \n", + "263 48.516388 0 0 0 0 0 0 \n", + "264 27.849332 0 0 0 0 0 0 \n", + "265 29.154857 0 0 0 0 0 0 \n", + "\n", + " ... 9/6/20 9/7/20 9/8/20 9/9/20 9/10/20 9/11/20 9/12/20 \\\n", + "0 ... 38398 38494 38520 38544 38572 38606 38641 \n", + "1 ... 10255 10406 10553 10704 10860 11021 11185 \n", + "2 ... 46364 46653 46938 47216 47488 47752 48007 \n", + "3 ... 1215 1261 1261 1301 1301 1344 1344 \n", + "4 ... 2965 2981 3033 3092 3217 3279 3335 \n", + "5 ... 95 95 95 95 95 95 95 \n", + "6 ... 478792 488007 500034 512293 524198 535705 546481 \n", + "7 ... 44783 44845 44953 45152 45326 45503 45675 \n", + "8 ... 113 113 113 113 113 113 113 \n", + "9 ... 4118 4126 4135 4142 4152 4157 4166 \n", + "10 ... 33 33 33 33 33 33 33 \n", + "11 ... 1133 1134 1143 1143 1145 1149 1149 \n", + "12 ... 464 464 465 465 465 466 466 \n", + "13 ... 230 230 230 230 230 230 230 \n", + "14 ... 19574 19615 19688 19739 19767 19800 19835 \n", + "15 ... 656 658 658 659 659 659 659 \n", + "16 ... 29271 29561 30081 30583 31247 31827 32696 \n", + "17 ... 37329 37418 37557 37732 37874 38037 38172 \n", + "18 ... 2506 2546 2585 2721 2721 2814 2928 \n", + "19 ... 55415 56076 56778 57450 58207 58839 59586 \n", + "20 ... 325157 327359 329251 331078 332970 334762 336044 \n", + "21 ... 178 179 180 180 180 180 180 \n", + "22 ... 72859 73031 73208 73402 73591 73784 73975 \n", + "23 ... 88367 88769 89141 89691 90568 91537 92478 \n", + "24 ... 1194 1307 1361 1365 1365 1435 1458 \n", + "25 ... 2213 2213 2213 2242 2242 2242 2242 \n", + "26 ... 228 233 234 234 238 241 244 \n", + "27 ... 120769 121604 122308 123345 124205 125172 125982 \n", + "28 ... 21560 21660 21961 22258 22544 22834 23138 \n", + "29 ... 2002 2126 2126 2126 2252 2252 2252 \n", + ".. ... ... ... ... ... ... ... ... \n", + "236 ... 3445 3446 3447 3454 3461 3461 3473 \n", + "237 ... 27 27 27 27 27 27 27 \n", + "238 ... 1488 1493 1513 1528 1537 1548 1555 \n", + "239 ... 2250 2277 2391 2588 2698 2825 2993 \n", + "240 ... 5041 5124 5417 5417 5882 6259 6635 \n", + "241 ... 279806 281509 283270 284943 286455 288126 289635 \n", + "242 ... 6276365 6300622 6327009 6360212 6396100 6443652 6485123 \n", + "243 ... 3667 3776 3900 4101 4291 4377 4703 \n", + "244 ... 139171 141424 143914 146511 149146 152373 155558 \n", + "245 ... 73984 74454 75098 75981 76911 77842 78849 \n", + "246 ... 3 3 3 3 3 3 3 \n", + "247 ... 175 175 175 177 177 177 177 \n", + "248 ... 63 63 63 63 63 63 66 \n", + "249 ... 205 205 205 207 208 208 208 \n", + "250 ... 626 628 629 631 631 633 633 \n", + "251 ... 13 13 13 13 13 13 13 \n", + "252 ... 315 315 320 322 323 323 327 \n", + "253 ... 337 337 337 337 337 337 337 \n", + "254 ... 13 13 13 13 13 13 13 \n", + "255 ... 598 599 614 628 638 641 641 \n", + "256 ... 347152 350100 352560 355219 358138 361677 365174 \n", + "257 ... 1679 1693 1712 1741 1759 1773 1780 \n", + "258 ... 43587 43893 44281 44930 45473 46160 46721 \n", + "259 ... 53289 54350 55563 56751 57823 58663 59630 \n", + "260 ... 1049 1049 1054 1059 1059 1060 1060 \n", + "261 ... 26127 26779 27363 27919 28664 29256 29906 \n", + "262 ... 10 10 10 10 10 10 10 \n", + "263 ... 1987 1989 1994 1999 2003 2007 2009 \n", + "264 ... 12776 12836 12952 13112 13214 13323 13466 \n", + "265 ... 6837 7298 7388 7429 7453 7479 7508 \n", + "\n", + " 9/13/20 9/14/20 9/15/20 \n", + "0 38716 38772 38815 \n", + "1 11353 11520 11672 \n", + "2 48254 48496 48734 \n", + "3 1344 1438 1438 \n", + "4 3388 3439 3569 \n", + "5 95 95 95 \n", + "6 555537 565446 577338 \n", + "7 45862 45969 46119 \n", + "8 113 113 113 \n", + "9 4170 4177 4185 \n", + "10 33 33 33 \n", + "11 1149 1150 1149 \n", + "12 466 466 466 \n", + "13 230 230 230 \n", + "14 19872 19911 19943 \n", + "15 659 659 659 \n", + "16 33159 33541 34305 \n", + "17 38327 38403 38517 \n", + "18 2928 3008 3032 \n", + "19 60307 60965 61643 \n", + "20 337520 339332 341056 \n", + "21 181 183 184 \n", + "22 74173 74360 74552 \n", + "23 93455 94306 94795 \n", + "24 1480 1501 1528 \n", + "25 2267 2267 2267 \n", + "26 245 245 246 \n", + "27 126791 127619 128286 \n", + "28 23465 23635 23929 \n", + "29 2252 2463 2463 \n", + ".. ... ... ... \n", + "236 3475 3475 3490 \n", + "237 27 27 27 \n", + "238 1572 1578 1595 \n", + "239 3042 3141 3223 \n", + "240 6635 7382 7623 \n", + "241 291162 292878 294620 \n", + "242 6520122 6553652 6593269 \n", + "243 4799 4978 5123 \n", + "244 158122 160679 163678 \n", + "245 79489 80266 80940 \n", + "246 3 3 3 \n", + "247 177 177 177 \n", + "248 66 66 66 \n", + "249 208 208 208 \n", + "250 633 633 639 \n", + "251 13 13 13 \n", + "252 330 330 334 \n", + "253 337 339 339 \n", + "254 13 13 13 \n", + "255 646 648 650 \n", + "256 368504 371125 374228 \n", + "257 1808 1812 1827 \n", + "258 47287 47836 48429 \n", + "259 60540 61569 62655 \n", + "260 1063 1063 1063 \n", + "261 30574 31362 32250 \n", + "262 10 10 10 \n", + "263 2011 2013 2016 \n", + "264 13539 13720 13819 \n", + "265 7526 7531 7576 \n", + "\n", + "[266 rows x 242 columns]" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "raw_data = pd.read_csv(\"https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv\")\n", + "raw_data" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "2020-01-22 00:00:00\n", + "\n" + ] + } + ], + "source": [ + "print(type(raw_data.keys()[4]))\n", + "a=pd.to_datetime(raw_data.keys()[4])\n", + "print(a)\n", + "print(type(a))\n" + ] + } + ], "metadata": { "kernelspec": { "display_name": "Python 3", @@ -16,10 +1851,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.3" + "version": "3.6.4" } }, "nbformat": 4, "nbformat_minor": 2 } -