From d590b687a21c145d39725a9a421d6a243d57f16e Mon Sep 17 00:00:00 2001 From: 8c2481a10dd33818b61b3592d19a3613 <8c2481a10dd33818b61b3592d19a3613@app-learninglab.inria.fr> Date: Mon, 1 Jun 2020 09:01:03 +0000 Subject: [PATCH] feat : add figure cumulative coronavirus cases --- module3/exo3/exercice.ipynb | 1473 +++-------------------------------- 1 file changed, 105 insertions(+), 1368 deletions(-) diff --git a/module3/exo3/exercice.ipynb b/module3/exo3/exercice.ipynb index ecc2d74..29ea7b4 100644 --- a/module3/exo3/exercice.ipynb +++ b/module3/exo3/exercice.ipynb @@ -1920,7 +1920,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -2010,7 +2010,7 @@ "[1 rows x 132 columns]" ] }, - "execution_count": 35, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } @@ -2025,7 +2025,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -2142,14 +2142,14 @@ "[2 rows x 132 columns]" ] }, - "execution_count": 36, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# now let's add to dataCountries the rest of the countries needed \n", - "# Here with & Prince/State.isnull we are only including metropolitan France's row and not the specific regions from France detailed in the data.\n", + "# Here with & Province/State.isnull we are only including metropolitan France's row and not the specific regions from France detailed in the data.\n", "\n", "dataCountries = dataCountries.append(raw_data.loc[(raw_data['Country/Region'] == 'France') & (raw_data['Province/State'].isnull())])\n", "\n", @@ -2165,7 +2165,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 6, "metadata": { "scrolled": true }, @@ -2193,7 +2193,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -2607,7 +2607,7 @@ "[13 rows x 132 columns]" ] }, - "execution_count": 38, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } @@ -2623,15 +2623,26 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "La chine est composée de plusieurs regions. Pour étudier l'ensemble de la Chine moins Hong-kong (voir consigne) nous additionnons le nombre de contaminés par jour dans une nouvelle ligne nommée China avec l'index 1 car non utilisé (orignellement utilisé par l'Afghanistan). Pour se faire nous utilisons les méthodes [at](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.at.html) et [sum](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.sum.html).\n", + "La chine est composée de plusieurs provinces. Pour étudier l'ensemble de la Chine moins Hong-kong (voir consigne) nous additionnons le nombre de contaminés par jour dans une nouvelle ligne nommée China avec l'index 1 car non utilisé (orignellement utilisé par l'Afghanistan). Pour se faire nous utilisons les méthodes [at](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.at.html) et [sum](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.sum.html).\n", "\n" ] }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 8, "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/conda/lib/python3.6/site-packages/pandas/core/frame.py:2035: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame\n", + "\n", + "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n", + " self.loc[index, col] = value\n" + ] + }, { "data": { "text/html": [ @@ -3086,7 +3097,7 @@ "[14 rows x 132 columns]" ] }, - "execution_count": 39, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -3128,7 +3139,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 9, "metadata": { "scrolled": true }, @@ -3153,7 +3164,7 @@ "\n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", @@ -3520,74 +3531,74 @@ "" ], "text/plain": [ - "Jours Country/Region 1/22/20 1/23/20 1/24/20 1/25/20 1/26/20 1/27/20 \\\n", - "23 Belgium 0.0 0.0 0.0 0.0 0.0 0.0 \n", - "116 France 0.0 0.0 2.0 3.0 3.0 3.0 \n", - "120 Germany 0.0 0.0 0.0 0.0 0.0 1.0 \n", - "133 Iran 0.0 0.0 0.0 0.0 0.0 0.0 \n", - "137 Italy 0.0 0.0 0.0 0.0 0.0 0.0 \n", - "139 Japan 2.0 2.0 2.0 2.0 4.0 4.0 \n", - "143 Korea, South 1.0 1.0 2.0 2.0 3.0 4.0 \n", - "169 Netherlands 0.0 0.0 0.0 0.0 0.0 0.0 \n", - "184 Portugal 0.0 0.0 0.0 0.0 0.0 0.0 \n", - "201 Spain 0.0 0.0 0.0 0.0 0.0 0.0 \n", - "223 United Kingdom 0.0 0.0 0.0 0.0 0.0 0.0 \n", - "225 US 1.0 1.0 2.0 2.0 5.0 5.0 \n", - "61 Hong Kong 0.0 2.0 2.0 5.0 8.0 8.0 \n", - "1 China 548.0 641.0 918.0 1401.0 2067.0 2869.0 \n", + " Country/Region 1/22/20 1/23/20 1/24/20 1/25/20 1/26/20 1/27/20 \\\n", + "23 Belgium 0.0 0.0 0.0 0.0 0.0 0.0 \n", + "116 France 0.0 0.0 2.0 3.0 3.0 3.0 \n", + "120 Germany 0.0 0.0 0.0 0.0 0.0 1.0 \n", + "133 Iran 0.0 0.0 0.0 0.0 0.0 0.0 \n", + "137 Italy 0.0 0.0 0.0 0.0 0.0 0.0 \n", + "139 Japan 2.0 2.0 2.0 2.0 4.0 4.0 \n", + "143 Korea, South 1.0 1.0 2.0 2.0 3.0 4.0 \n", + "169 Netherlands 0.0 0.0 0.0 0.0 0.0 0.0 \n", + "184 Portugal 0.0 0.0 0.0 0.0 0.0 0.0 \n", + "201 Spain 0.0 0.0 0.0 0.0 0.0 0.0 \n", + "223 United Kingdom 0.0 0.0 0.0 0.0 0.0 0.0 \n", + "225 US 1.0 1.0 2.0 2.0 5.0 5.0 \n", + "61 Hong Kong 0.0 2.0 2.0 5.0 8.0 8.0 \n", + "1 China 548.0 641.0 918.0 1401.0 2067.0 2869.0 \n", "\n", - "Jours 1/28/20 1/29/20 1/30/20 ... 5/19/20 5/20/20 5/21/20 \\\n", - "23 0.0 0.0 0.0 ... 55791.0 55983.0 56235.0 \n", - "116 4.0 5.0 5.0 ... 178428.0 179069.0 179306.0 \n", - "120 4.0 4.0 4.0 ... 177778.0 178473.0 179021.0 \n", - "133 0.0 0.0 0.0 ... 124603.0 126949.0 129341.0 \n", - "137 0.0 0.0 0.0 ... 226699.0 227364.0 228006.0 \n", - "139 7.0 7.0 11.0 ... 16367.0 16367.0 16424.0 \n", - "143 4.0 4.0 4.0 ... 11110.0 11122.0 11142.0 \n", - "169 0.0 0.0 0.0 ... 44249.0 44447.0 44700.0 \n", - "184 0.0 0.0 0.0 ... 29432.0 29660.0 29912.0 \n", - "201 0.0 0.0 0.0 ... 232037.0 232555.0 233037.0 \n", - "223 0.0 0.0 0.0 ... 248818.0 248293.0 250908.0 \n", - "225 5.0 5.0 5.0 ... 1528568.0 1551853.0 1577147.0 \n", - "61 8.0 10.0 10.0 ... 1055.0 1055.0 1055.0 \n", - "1 5501.0 6077.0 8131.0 ... 83008.0 83008.0 83008.0 \n", + " 1/28/20 1/29/20 1/30/20 ... 5/19/20 5/20/20 5/21/20 \\\n", + "23 0.0 0.0 0.0 ... 55791.0 55983.0 56235.0 \n", + "116 4.0 5.0 5.0 ... 178428.0 179069.0 179306.0 \n", + "120 4.0 4.0 4.0 ... 177778.0 178473.0 179021.0 \n", + "133 0.0 0.0 0.0 ... 124603.0 126949.0 129341.0 \n", + "137 0.0 0.0 0.0 ... 226699.0 227364.0 228006.0 \n", + "139 7.0 7.0 11.0 ... 16367.0 16367.0 16424.0 \n", + "143 4.0 4.0 4.0 ... 11110.0 11122.0 11142.0 \n", + "169 0.0 0.0 0.0 ... 44249.0 44447.0 44700.0 \n", + "184 0.0 0.0 0.0 ... 29432.0 29660.0 29912.0 \n", + "201 0.0 0.0 0.0 ... 232037.0 232555.0 233037.0 \n", + "223 0.0 0.0 0.0 ... 248818.0 248293.0 250908.0 \n", + "225 5.0 5.0 5.0 ... 1528568.0 1551853.0 1577147.0 \n", + "61 8.0 10.0 10.0 ... 1055.0 1055.0 1055.0 \n", + "1 5501.0 6077.0 8131.0 ... 83008.0 83008.0 83008.0 \n", "\n", - "Jours 5/22/20 5/23/20 5/24/20 5/25/20 5/26/20 5/27/20 \\\n", - "23 56511.0 56810.0 57092.0 57342.0 57455.0 57592.0 \n", - "116 179645.0 179964.0 179859.0 180166.0 179887.0 180044.0 \n", - "120 179710.0 179986.0 180328.0 180600.0 181200.0 181524.0 \n", - "133 131652.0 133521.0 135701.0 137724.0 139511.0 141591.0 \n", - "137 228658.0 229327.0 229858.0 230158.0 230555.0 231139.0 \n", - "139 16513.0 16536.0 16550.0 16581.0 16623.0 16651.0 \n", - "143 11165.0 11190.0 11206.0 11225.0 11265.0 11344.0 \n", - "169 44888.0 45064.0 45236.0 45445.0 45578.0 45768.0 \n", - "184 30200.0 30471.0 30623.0 30788.0 31007.0 31292.0 \n", - "201 234824.0 235290.0 235772.0 235400.0 236259.0 236259.0 \n", - "223 254195.0 257154.0 259559.0 261184.0 265227.0 267240.0 \n", - "225 1600937.0 1622612.0 1643246.0 1662302.0 1680913.0 1699176.0 \n", - "61 1065.0 1065.0 1065.0 1065.0 1065.0 1066.0 \n", - "1 83016.0 83019.0 83030.0 83037.0 83038.0 83040.0 \n", + " 5/22/20 5/23/20 5/24/20 5/25/20 5/26/20 5/27/20 \\\n", + "23 56511.0 56810.0 57092.0 57342.0 57455.0 57592.0 \n", + "116 179645.0 179964.0 179859.0 180166.0 179887.0 180044.0 \n", + "120 179710.0 179986.0 180328.0 180600.0 181200.0 181524.0 \n", + "133 131652.0 133521.0 135701.0 137724.0 139511.0 141591.0 \n", + "137 228658.0 229327.0 229858.0 230158.0 230555.0 231139.0 \n", + "139 16513.0 16536.0 16550.0 16581.0 16623.0 16651.0 \n", + "143 11165.0 11190.0 11206.0 11225.0 11265.0 11344.0 \n", + "169 44888.0 45064.0 45236.0 45445.0 45578.0 45768.0 \n", + "184 30200.0 30471.0 30623.0 30788.0 31007.0 31292.0 \n", + "201 234824.0 235290.0 235772.0 235400.0 236259.0 236259.0 \n", + "223 254195.0 257154.0 259559.0 261184.0 265227.0 267240.0 \n", + "225 1600937.0 1622612.0 1643246.0 1662302.0 1680913.0 1699176.0 \n", + "61 1065.0 1065.0 1065.0 1065.0 1065.0 1066.0 \n", + "1 83016.0 83019.0 83030.0 83037.0 83038.0 83040.0 \n", "\n", - 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23116120133137139143169184201223225611
Jours
Country/RegionBelgiumFranceGermanyIranItalyJapanKorea, SouthNetherlandsPortugalSpainUnited KingdomUSHong KongChina
1/22/200000021000010548
1/23/200000021000012641
1/24/200200022000022918
1/25/2003000220000251401
1/26/2003000430000582067
1/27/2003100440000582869
1/28/2004400740000585501
1/29/20054007400005106077
1/30/200540011400005108131
1/31/2005502151100027129790
2/1/20068022012001281311878
2/2/200610022015001281516615
2/3/2006120220150012111519701
2/4/2016120222160012111723690
2/5/2016120222190012112127419
2/6/2016120222230012112430563
2/7/2016130325240013112534085
2/8/20111130325240013112636788
2/9/20111140326250023112939800
2/10/20111140326270028113842316
2/11/20111160326280028124944337
2/12/20111160328280029125044709
2/13/20111160328280029135359842
2/14/20111160329280029135666302
2/15/20112160343280029135668357
2/16/20112160359290029135770456
2/17/20112160366300029136072374
2/18/20112160374310029136274149
2/19/20112162384310029136374556
.............................................
4/29/204785916509316153993657203591138951076538802245052129171652211.03991e+06103782907
4/30/204851916576416300994640205463140881077439316250452134351712531.06942e+06103782919
5/1/204903216576416407795646207428143051078039791253512152161774541.10346e+06103982920
5/2/204951716697616496796448209328145711079340236251902165821822601.13254e+06103982920
5/3/204990616727216566497424210717148771080140571252822174661865991.15804e+06103982925
5/4/205026716788616615298647211938150781080440770255242180111905841.18038e+06104082926
5/5/205050916893516700799970213013152531080641087257022193291949901.20435e+06104082928
5/6/2050781172465168162101650214457152531081041319261822203252011011.22933e+06104082930
5/7/2051420173040169430103135215858154771082241774267152214472067151.25702e+06104482931
5/8/2052011174318170588104691217185155751084042093272682228572113641.28393e+06104482932
5/9/2052596174758171324106220218268156631087442382274062235782152601.30955e+06104482946
5/10/2053081175027171879107603219070157771090942627275812243502191831.32926e+06104782963
5/11/2053449175479172576109286219814158471093642788276792274362230601.34788e+06104782964
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5/17/2055280177240176369120198225435162851106543995290362306982436951.48676e+06105582999
5/18/2055559177554176551122492225886163051107844141292092316062464061.50831e+06105583008
5/19/2055791178428177778124603226699163671111044249294322320372488181.52857e+06105583008
5/20/2055983179069178473126949227364163671112244447296602325552482931.55185e+06105583008
5/21/2056235179306179021129341228006164241114244700299122330372509081.57715e+06105583008
5/22/2056511179645179710131652228658165131116544888302002348242541951.60094e+06106583016
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5/25/2057342180166180600137724230158165811122545445307882354002611841.6623e+06106583037
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5/27/2057592180044181524141591231139166511134445768312922362592672401.69918e+06106683040
5/28/2057849183309182196143849231732165981140245950315962379062691271.72175e+06106683040
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129 rows × 14 columns

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\n", "text/plain": [ - " 23 116 120 133 137 139 143 \\\n", - "Jours \n", - "Country/Region Belgium France Germany Iran Italy Japan Korea, South \n", - "1/22/20 0 0 0 0 0 2 1 \n", - "1/23/20 0 0 0 0 0 2 1 \n", - "1/24/20 0 2 0 0 0 2 2 \n", - "1/25/20 0 3 0 0 0 2 2 \n", - "1/26/20 0 3 0 0 0 4 3 \n", - "1/27/20 0 3 1 0 0 4 4 \n", - "1/28/20 0 4 4 0 0 7 4 \n", - "1/29/20 0 5 4 0 0 7 4 \n", - "1/30/20 0 5 4 0 0 11 4 \n", - "1/31/20 0 5 5 0 2 15 11 \n", - "2/1/20 0 6 8 0 2 20 12 \n", - "2/2/20 0 6 10 0 2 20 15 \n", - "2/3/20 0 6 12 0 2 20 15 \n", - "2/4/20 1 6 12 0 2 22 16 \n", - "2/5/20 1 6 12 0 2 22 19 \n", - "2/6/20 1 6 12 0 2 22 23 \n", - "2/7/20 1 6 13 0 3 25 24 \n", - "2/8/20 1 11 13 0 3 25 24 \n", - "2/9/20 1 11 14 0 3 26 25 \n", - "2/10/20 1 11 14 0 3 26 27 \n", - "2/11/20 1 11 16 0 3 26 28 \n", - "2/12/20 1 11 16 0 3 28 28 \n", - "2/13/20 1 11 16 0 3 28 28 \n", - "2/14/20 1 11 16 0 3 29 28 \n", - "2/15/20 1 12 16 0 3 43 28 \n", - "2/16/20 1 12 16 0 3 59 29 \n", - "2/17/20 1 12 16 0 3 66 30 \n", - "2/18/20 1 12 16 0 3 74 31 \n", - "2/19/20 1 12 16 2 3 84 31 \n", - "... ... ... ... ... ... ... ... \n", - "4/29/20 47859 165093 161539 93657 203591 13895 10765 \n", - "4/30/20 48519 165764 163009 94640 205463 14088 10774 \n", - "5/1/20 49032 165764 164077 95646 207428 14305 10780 \n", - "5/2/20 49517 166976 164967 96448 209328 14571 10793 \n", - "5/3/20 49906 167272 165664 97424 210717 14877 10801 \n", - "5/4/20 50267 167886 166152 98647 211938 15078 10804 \n", - "5/5/20 50509 168935 167007 99970 213013 15253 10806 \n", - "5/6/20 50781 172465 168162 101650 214457 15253 10810 \n", - "5/7/20 51420 173040 169430 103135 215858 15477 10822 \n", - "5/8/20 52011 174318 170588 104691 217185 15575 10840 \n", - "5/9/20 52596 174758 171324 106220 218268 15663 10874 \n", - "5/10/20 53081 175027 171879 107603 219070 15777 10909 \n", - "5/11/20 53449 175479 172576 109286 219814 15847 10936 \n", - "5/12/20 53779 176207 173171 110767 221216 15968 10962 \n", - "5/13/20 53981 175981 174098 112725 222104 16049 10991 \n", - "5/14/20 54288 176712 174478 114533 223096 16120 11018 \n", - "5/15/20 54644 177319 175233 116635 223885 16203 11037 \n", - "5/16/20 54989 177207 175752 118392 224760 16237 11050 \n", - "5/17/20 55280 177240 176369 120198 225435 16285 11065 \n", - "5/18/20 55559 177554 176551 122492 225886 16305 11078 \n", - "5/19/20 55791 178428 177778 124603 226699 16367 11110 \n", - "5/20/20 55983 179069 178473 126949 227364 16367 11122 \n", - "5/21/20 56235 179306 179021 129341 228006 16424 11142 \n", - "5/22/20 56511 179645 179710 131652 228658 16513 11165 \n", - "5/23/20 56810 179964 179986 133521 229327 16536 11190 \n", - "5/24/20 57092 179859 180328 135701 229858 16550 11206 \n", - "5/25/20 57342 180166 180600 137724 230158 16581 11225 \n", - "5/26/20 57455 179887 181200 139511 230555 16623 11265 \n", - "5/27/20 57592 180044 181524 141591 231139 16651 11344 \n", - "5/28/20 57849 183309 182196 143849 231732 16598 11402 \n", - "\n", - " 169 184 201 223 225 \\\n", - "Jours \n", - "Country/Region Netherlands Portugal Spain United Kingdom US \n", - "1/22/20 0 0 0 0 1 \n", - "1/23/20 0 0 0 0 1 \n", - "1/24/20 0 0 0 0 2 \n", - "1/25/20 0 0 0 0 2 \n", - "1/26/20 0 0 0 0 5 \n", - "1/27/20 0 0 0 0 5 \n", - "1/28/20 0 0 0 0 5 \n", - "1/29/20 0 0 0 0 5 \n", - "1/30/20 0 0 0 0 5 \n", - "1/31/20 0 0 0 2 7 \n", - "2/1/20 0 0 1 2 8 \n", - "2/2/20 0 0 1 2 8 \n", - "2/3/20 0 0 1 2 11 \n", - "2/4/20 0 0 1 2 11 \n", - "2/5/20 0 0 1 2 11 \n", - "2/6/20 0 0 1 2 11 \n", - "2/7/20 0 0 1 3 11 \n", - "2/8/20 0 0 1 3 11 \n", - "2/9/20 0 0 2 3 11 \n", - "2/10/20 0 0 2 8 11 \n", - "2/11/20 0 0 2 8 12 \n", - "2/12/20 0 0 2 9 12 \n", - "2/13/20 0 0 2 9 13 \n", - "2/14/20 0 0 2 9 13 \n", - "2/15/20 0 0 2 9 13 \n", - "2/16/20 0 0 2 9 13 \n", - "2/17/20 0 0 2 9 13 \n", - "2/18/20 0 0 2 9 13 \n", - "2/19/20 0 0 2 9 13 \n", - "... ... ... ... ... ... \n", - "4/29/20 38802 24505 212917 165221 1.03991e+06 \n", - "4/30/20 39316 25045 213435 171253 1.06942e+06 \n", - "5/1/20 39791 25351 215216 177454 1.10346e+06 \n", - "5/2/20 40236 25190 216582 182260 1.13254e+06 \n", - "5/3/20 40571 25282 217466 186599 1.15804e+06 \n", - "5/4/20 40770 25524 218011 190584 1.18038e+06 \n", - "5/5/20 41087 25702 219329 194990 1.20435e+06 \n", - "5/6/20 41319 26182 220325 201101 1.22933e+06 \n", - "5/7/20 41774 26715 221447 206715 1.25702e+06 \n", - "5/8/20 42093 27268 222857 211364 1.28393e+06 \n", - "5/9/20 42382 27406 223578 215260 1.30955e+06 \n", - "5/10/20 42627 27581 224350 219183 1.32926e+06 \n", - "5/11/20 42788 27679 227436 223060 1.34788e+06 \n", - "5/12/20 42984 27913 228030 226463 1.36938e+06 \n", - "5/13/20 43211 28132 228691 229705 1.39041e+06 \n", - "5/14/20 43481 28319 229540 233151 1.41777e+06 \n", - "5/15/20 43681 28583 230183 236711 1.44282e+06 \n", - "5/16/20 43870 28810 230698 240161 1.46782e+06 \n", - "5/17/20 43995 29036 230698 243695 1.48676e+06 \n", - "5/18/20 44141 29209 231606 246406 1.50831e+06 \n", - "5/19/20 44249 29432 232037 248818 1.52857e+06 \n", - "5/20/20 44447 29660 232555 248293 1.55185e+06 \n", - "5/21/20 44700 29912 233037 250908 1.57715e+06 \n", - "5/22/20 44888 30200 234824 254195 1.60094e+06 \n", - "5/23/20 45064 30471 235290 257154 1.62261e+06 \n", - "5/24/20 45236 30623 235772 259559 1.64325e+06 \n", - "5/25/20 45445 30788 235400 261184 1.6623e+06 \n", - "5/26/20 45578 31007 236259 265227 1.68091e+06 \n", - "5/27/20 45768 31292 236259 267240 1.69918e+06 \n", - "5/28/20 45950 31596 237906 269127 1.72175e+06 \n", - "\n", - " 61 1 \n", - "Jours \n", - "Country/Region Hong Kong China \n", - "1/22/20 0 548 \n", - "1/23/20 2 641 \n", - "1/24/20 2 918 \n", - "1/25/20 5 1401 \n", - "1/26/20 8 2067 \n", - "1/27/20 8 2869 \n", - "1/28/20 8 5501 \n", - "1/29/20 10 6077 \n", - "1/30/20 10 8131 \n", - "1/31/20 12 9790 \n", - "2/1/20 13 11878 \n", - "2/2/20 15 16615 \n", - "2/3/20 15 19701 \n", - "2/4/20 17 23690 \n", - "2/5/20 21 27419 \n", - "2/6/20 24 30563 \n", - "2/7/20 25 34085 \n", - "2/8/20 26 36788 \n", - "2/9/20 29 39800 \n", - "2/10/20 38 42316 \n", - "2/11/20 49 44337 \n", - "2/12/20 50 44709 \n", - "2/13/20 53 59842 \n", - "2/14/20 56 66302 \n", - "2/15/20 56 68357 \n", - "2/16/20 57 70456 \n", - "2/17/20 60 72374 \n", - "2/18/20 62 74149 \n", - "2/19/20 63 74556 \n", - "... ... ... \n", - "4/29/20 1037 82907 \n", - "4/30/20 1037 82919 \n", - "5/1/20 1039 82920 \n", - "5/2/20 1039 82920 \n", - "5/3/20 1039 82925 \n", - "5/4/20 1040 82926 \n", - "5/5/20 1040 82928 \n", - "5/6/20 1040 82930 \n", - "5/7/20 1044 82931 \n", - "5/8/20 1044 82932 \n", - "5/9/20 1044 82946 \n", - "5/10/20 1047 82963 \n", - "5/11/20 1047 82964 \n", - "5/12/20 1047 82971 \n", - "5/13/20 1050 82974 \n", - "5/14/20 1051 82978 \n", - "5/15/20 1052 82986 \n", - "5/16/20 1052 82992 \n", - "5/17/20 1055 82999 \n", - "5/18/20 1055 83008 \n", - "5/19/20 1055 83008 \n", - "5/20/20 1055 83008 \n", - "5/21/20 1055 83008 \n", - "5/22/20 1065 83016 \n", - "5/23/20 1065 83019 \n", - "5/24/20 1065 83030 \n", - "5/25/20 1065 83037 \n", - "5/26/20 1065 83038 \n", - "5/27/20 1066 83040 \n", - "5/28/20 1066 83040 \n", - "\n", - "[129 rows x 14 columns]" + "
" ] }, - "execution_count": 47, - "metadata": {}, - "output_type": "execute_result" + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" } ], "source": [ - "dataTransposed =dataCountries.T\n", + "dataTransposed = dataCountries.transpose()\n", + "\n", + "header_row = 0\n", + "dataTransposed.columns = dataTransposed.iloc[header_row]\n", + "dataTransposed = dataTransposed.drop(['Country/Region'], axis=0)\n", + "\n", + "fig = plt.figure()\n", + "ax = fig.add_subplot(1, 1, 1)\n", + "fig.set_size_inches(20, 20) \n", + "ax.plot(dataTransposed)\n", + "ax.set_title('Cumulative coronavirus cases')\n", + "plt.show()\n", "\n", - "dataTransposed\n", + "#dataTransposed.plot()\n", "\n" ] }, -- 2.18.1