From cc84a2b11a5fc37258e760ebb6cd0c57461a2e8e Mon Sep 17 00:00:00 2001 From: 2b626fffb391486fd04ef34b8ac9fc42 <2b626fffb391486fd04ef34b8ac9fc42@app-learninglab.inria.fr> Date: Fri, 21 Jan 2022 09:34:55 +0000 Subject: [PATCH] update --- module3/exo1/analyse-syndrome-grippal.ipynb | 2227 ++++++++++++++++++- module3/exo1/data.csv | 1944 ++++++++++++++++ 2 files changed, 4133 insertions(+), 38 deletions(-) create mode 100644 module3/exo1/data.csv diff --git a/module3/exo1/analyse-syndrome-grippal.ipynb b/module3/exo1/analyse-syndrome-grippal.ipynb index 59d72b5..294dfc9 100644 --- a/module3/exo1/analyse-syndrome-grippal.ipynb +++ b/module3/exo1/analyse-syndrome-grippal.ipynb @@ -9,7 +9,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -28,10 +28,8 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, + "execution_count": 2, + "metadata": {}, "outputs": [], "source": [ "data_url = \"http://www.sentiweb.fr/datasets/incidence-PAY-3.csv\"" @@ -61,11 +59,992 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
020220236209254009.070175.09482.0106.0FRFrance
120220135584848955.062741.08474.094.0FRFrance
220215235347146209.060733.08170.092.0FRFrance
320215134169835359.048037.06353.073.0FRFrance
420215033811732497.043737.05849.067.0FRFrance
520214934016834716.045620.06153.069.0FRFrance
620214834184236364.047320.06355.071.0FRFrance
720214733659831338.041858.05547.063.0FRFrance
820214633005925302.034816.04639.053.0FRFrance
920214532036416564.024164.03125.037.0FRFrance
1020214431899915042.022956.02923.035.0FRFrance
1120214332704021935.032145.04133.049.0FRFrance
1220214232834323382.033304.04335.051.0FRFrance
1320214132504320586.029500.03831.045.0FRFrance
1420214032628621842.030730.04033.047.0FRFrance
1520213932215518014.026296.03428.040.0FRFrance
1620213831561412310.018918.02419.029.0FRFrance
1720213731367310404.016942.02116.026.0FRFrance
182021363102897505.013073.01612.020.0FRFrance
192021353126099282.015936.01914.024.0FRFrance
202021343130159485.016545.02015.025.0FRFrance
212021333103927042.013742.01611.021.0FRFrance
2220213231558611009.020163.02417.031.0FRFrance
2320213131885513664.024046.02921.037.0FRFrance
242021303139919695.018287.02114.028.0FRFrance
252021293136269618.017634.02115.027.0FRFrance
26202128386365430.011842.0138.018.0FRFrance
272021273106936838.014548.01610.022.0FRFrance
28202126370864109.010063.0116.016.0FRFrance
29202125379425540.010344.0128.016.0FRFrance
.................................
191219852132609619621.032571.04735.059.0FRFrance
191319852032789620885.034907.05138.064.0FRFrance
191419851934315432821.053487.07859.097.0FRFrance
191519851834055529935.051175.07455.093.0FRFrance
191619851733405324366.043740.06244.080.0FRFrance
191719851635036236451.064273.09166.0116.0FRFrance
191819851536388145538.082224.011683.0149.0FRFrance
19191985143134545114400.0154690.0244207.0281.0FRFrance
19201985133197206176080.0218332.0357319.0395.0FRFrance
19211985123245240223304.0267176.0445405.0485.0FRFrance
19221985113276205252399.0300011.0501458.0544.0FRFrance
19231985103353231326279.0380183.0640591.0689.0FRFrance
19241985093369895341109.0398681.0670618.0722.0FRFrance
19251985083389886359529.0420243.0707652.0762.0FRFrance
19261985073471852432599.0511105.0855784.0926.0FRFrance
19271985063565825518011.0613639.01026939.01113.0FRFrance
19281985053637302592795.0681809.011551074.01236.0FRFrance
19291985043424937390794.0459080.0770708.0832.0FRFrance
19301985033213901174689.0253113.0388317.0459.0FRFrance
193119850239758680949.0114223.0177147.0207.0FRFrance
193219850138548965918.0105060.0155120.0190.0FRFrance
193319845238483060602.0109058.0154110.0198.0FRFrance
1934198451310172680242.0123210.0185146.0224.0FRFrance
19351984503123680101401.0145959.0225184.0266.0FRFrance
1936198449310107381684.0120462.0184149.0219.0FRFrance
193719844837862060634.096606.0143110.0176.0FRFrance
193819844737202954274.089784.013199.0163.0FRFrance
193919844638733067686.0106974.0159123.0195.0FRFrance
19401984453135223101414.0169032.0246184.0308.0FRFrance
194119844436842220056.0116788.012537.0213.0FRFrance
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1942 rows × 10 columns

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7505.0 13073.0 16 12.0 \n", + "19 202135 3 12609 9282.0 15936.0 19 14.0 \n", + "20 202134 3 13015 9485.0 16545.0 20 15.0 \n", + "21 202133 3 10392 7042.0 13742.0 16 11.0 \n", + "22 202132 3 15586 11009.0 20163.0 24 17.0 \n", + "23 202131 3 18855 13664.0 24046.0 29 21.0 \n", + "24 202130 3 13991 9695.0 18287.0 21 14.0 \n", + "25 202129 3 13626 9618.0 17634.0 21 15.0 \n", + "26 202128 3 8636 5430.0 11842.0 13 8.0 \n", + "27 202127 3 10693 6838.0 14548.0 16 10.0 \n", + "28 202126 3 7086 4109.0 10063.0 11 6.0 \n", + "29 202125 3 7942 5540.0 10344.0 12 8.0 \n", + "... ... ... ... ... ... ... ... \n", + "1912 198521 3 26096 19621.0 32571.0 47 35.0 \n", + "1913 198520 3 27896 20885.0 34907.0 51 38.0 \n", + "1914 198519 3 43154 32821.0 53487.0 78 59.0 \n", + "1915 198518 3 40555 29935.0 51175.0 74 55.0 \n", + "1916 198517 3 34053 24366.0 43740.0 62 44.0 \n", + "1917 198516 3 50362 36451.0 64273.0 91 66.0 \n", + "1918 198515 3 63881 45538.0 82224.0 116 83.0 \n", + "1919 198514 3 134545 114400.0 154690.0 244 207.0 \n", + "1920 198513 3 197206 176080.0 218332.0 357 319.0 \n", + "1921 198512 3 245240 223304.0 267176.0 445 405.0 \n", + "1922 198511 3 276205 252399.0 300011.0 501 458.0 \n", + "1923 198510 3 353231 326279.0 380183.0 640 591.0 \n", + "1924 198509 3 369895 341109.0 398681.0 670 618.0 \n", + "1925 198508 3 389886 359529.0 420243.0 707 652.0 \n", + "1926 198507 3 471852 432599.0 511105.0 855 784.0 \n", + "1927 198506 3 565825 518011.0 613639.0 1026 939.0 \n", + "1928 198505 3 637302 592795.0 681809.0 1155 1074.0 \n", + "1929 198504 3 424937 390794.0 459080.0 770 708.0 \n", + "1930 198503 3 213901 174689.0 253113.0 388 317.0 \n", + "1931 198502 3 97586 80949.0 114223.0 177 147.0 \n", + "1932 198501 3 85489 65918.0 105060.0 155 120.0 \n", + "1933 198452 3 84830 60602.0 109058.0 154 110.0 \n", + "1934 198451 3 101726 80242.0 123210.0 185 146.0 \n", + "1935 198450 3 123680 101401.0 145959.0 225 184.0 \n", + "1936 198449 3 101073 81684.0 120462.0 184 149.0 \n", + "1937 198448 3 78620 60634.0 96606.0 143 110.0 \n", + "1938 198447 3 72029 54274.0 89784.0 131 99.0 \n", + "1939 198446 3 87330 67686.0 106974.0 159 123.0 \n", + "1940 198445 3 135223 101414.0 169032.0 246 184.0 \n", + "1941 198444 3 68422 20056.0 116788.0 125 37.0 \n", + "\n", + " inc100_up geo_insee geo_name \n", + "0 106.0 FR France \n", + "1 94.0 FR France \n", + "2 92.0 FR France \n", + "3 73.0 FR France \n", + "4 67.0 FR France \n", + "5 69.0 FR France \n", + "6 71.0 FR France \n", + "7 63.0 FR France \n", + "8 53.0 FR France \n", + "9 37.0 FR France \n", + "10 35.0 FR France \n", + "11 49.0 FR France \n", + "12 51.0 FR France \n", + "13 45.0 FR France \n", + "14 47.0 FR France \n", + "15 40.0 FR France \n", + "16 29.0 FR France \n", + "17 26.0 FR France \n", + "18 20.0 FR France \n", + "19 24.0 FR France \n", + "20 25.0 FR France \n", + "21 21.0 FR France \n", + "22 31.0 FR France \n", + "23 37.0 FR France \n", + "24 28.0 FR France \n", + "25 27.0 FR France \n", + "26 18.0 FR France \n", + "27 22.0 FR France \n", + "28 16.0 FR France \n", + "29 16.0 FR France \n", + "... ... ... ... \n", + "1912 59.0 FR France \n", + "1913 64.0 FR France \n", + "1914 97.0 FR France \n", + "1915 93.0 FR France \n", + "1916 80.0 FR France \n", + "1917 116.0 FR France \n", + "1918 149.0 FR France \n", + "1919 281.0 FR France \n", + "1920 395.0 FR France \n", + "1921 485.0 FR France \n", + "1922 544.0 FR France \n", + "1923 689.0 FR France \n", + "1924 722.0 FR France \n", + "1925 762.0 FR France \n", + "1926 926.0 FR France \n", + "1927 1113.0 FR France \n", + "1928 1236.0 FR France \n", + "1929 832.0 FR France \n", + "1930 459.0 FR France \n", + "1931 207.0 FR France \n", + "1932 190.0 FR France \n", + "1933 198.0 FR France \n", + "1934 224.0 FR France \n", + "1935 266.0 FR France \n", + "1936 219.0 FR France \n", + "1937 176.0 FR France \n", + "1938 163.0 FR France \n", + "1939 195.0 FR France \n", + "1940 308.0 FR France \n", + "1941 213.0 FR France \n", + "\n", + "[1942 rows x 10 columns]" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "raw_data = pd.read_csv(data_url, skiprows=1)\n", + "import os.path\n", + "import requests\n", + "\n", + "data_file = \"data.csv\"\n", + "\n", + "# Vérification de l'exisctence du fichier local, si non, le télécharge depuis l'URL\n", + "if os.path.isfile(data_file) == False:\n", + " req = requests.get(data_url)\n", + " file = open(data_file, 'wb')\n", + " file.write(req.content)\n", + " file.close()\n", + "else:\n", + " print(\"{:s} already present\".format(data_file))\n", + "\n", + "raw_data = pd.read_csv(data_file, skiprows=1)\n", "raw_data" ] }, @@ -78,9 +1057,73 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
170519891930NaNNaN0NaNNaNFRFrance
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" + ], + "text/plain": [ + " week indicator inc inc_low inc_up inc100 inc100_low inc100_up \\\n", + "1705 198919 3 0 NaN NaN 0 NaN NaN \n", + "\n", + " geo_insee geo_name \n", + "1705 FR France " + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "raw_data[raw_data.isnull().any(axis=1)]" ] @@ -94,9 +1137,976 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
020220236209254009.070175.09482.0106.0FRFrance
120220135584848955.062741.08474.094.0FRFrance
220215235347146209.060733.08170.092.0FRFrance
320215134169835359.048037.06353.073.0FRFrance
420215033811732497.043737.05849.067.0FRFrance
520214934016834716.045620.06153.069.0FRFrance
620214834184236364.047320.06355.071.0FRFrance
720214733659831338.041858.05547.063.0FRFrance
820214633005925302.034816.04639.053.0FRFrance
920214532036416564.024164.03125.037.0FRFrance
1020214431899915042.022956.02923.035.0FRFrance
1120214332704021935.032145.04133.049.0FRFrance
1220214232834323382.033304.04335.051.0FRFrance
1320214132504320586.029500.03831.045.0FRFrance
1420214032628621842.030730.04033.047.0FRFrance
1520213932215518014.026296.03428.040.0FRFrance
1620213831561412310.018918.02419.029.0FRFrance
1720213731367310404.016942.02116.026.0FRFrance
182021363102897505.013073.01612.020.0FRFrance
192021353126099282.015936.01914.024.0FRFrance
202021343130159485.016545.02015.025.0FRFrance
212021333103927042.013742.01611.021.0FRFrance
2220213231558611009.020163.02417.031.0FRFrance
2320213131885513664.024046.02921.037.0FRFrance
242021303139919695.018287.02114.028.0FRFrance
252021293136269618.017634.02115.027.0FRFrance
26202128386365430.011842.0138.018.0FRFrance
272021273106936838.014548.01610.022.0FRFrance
28202126370864109.010063.0116.016.0FRFrance
29202125379425540.010344.0128.016.0FRFrance
.................................
191219852132609619621.032571.04735.059.0FRFrance
191319852032789620885.034907.05138.064.0FRFrance
191419851934315432821.053487.07859.097.0FRFrance
191519851834055529935.051175.07455.093.0FRFrance
191619851733405324366.043740.06244.080.0FRFrance
191719851635036236451.064273.09166.0116.0FRFrance
191819851536388145538.082224.011683.0149.0FRFrance
19191985143134545114400.0154690.0244207.0281.0FRFrance
19201985133197206176080.0218332.0357319.0395.0FRFrance
19211985123245240223304.0267176.0445405.0485.0FRFrance
19221985113276205252399.0300011.0501458.0544.0FRFrance
19231985103353231326279.0380183.0640591.0689.0FRFrance
19241985093369895341109.0398681.0670618.0722.0FRFrance
19251985083389886359529.0420243.0707652.0762.0FRFrance
19261985073471852432599.0511105.0855784.0926.0FRFrance
19271985063565825518011.0613639.01026939.01113.0FRFrance
19281985053637302592795.0681809.011551074.01236.0FRFrance
19291985043424937390794.0459080.0770708.0832.0FRFrance
19301985033213901174689.0253113.0388317.0459.0FRFrance
193119850239758680949.0114223.0177147.0207.0FRFrance
193219850138548965918.0105060.0155120.0190.0FRFrance
193319845238483060602.0109058.0154110.0198.0FRFrance
1934198451310172680242.0123210.0185146.0224.0FRFrance
19351984503123680101401.0145959.0225184.0266.0FRFrance
1936198449310107381684.0120462.0184149.0219.0FRFrance
193719844837862060634.096606.0143110.0176.0FRFrance
193819844737202954274.089784.013199.0163.0FRFrance
193919844638733067686.0106974.0159123.0195.0FRFrance
19401984453135223101414.0169032.0246184.0308.0FRFrance
194119844436842220056.0116788.012537.0213.0FRFrance
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1941 rows × 10 columns

\n", + "
" + ], + "text/plain": [ + " week indicator inc inc_low inc_up inc100 inc100_low \\\n", + "0 202202 3 62092 54009.0 70175.0 94 82.0 \n", + "1 202201 3 55848 48955.0 62741.0 84 74.0 \n", + "2 202152 3 53471 46209.0 60733.0 81 70.0 \n", + "3 202151 3 41698 35359.0 48037.0 63 53.0 \n", + "4 202150 3 38117 32497.0 43737.0 58 49.0 \n", + "5 202149 3 40168 34716.0 45620.0 61 53.0 \n", + "6 202148 3 41842 36364.0 47320.0 63 55.0 \n", + "7 202147 3 36598 31338.0 41858.0 55 47.0 \n", + "8 202146 3 30059 25302.0 34816.0 46 39.0 \n", + "9 202145 3 20364 16564.0 24164.0 31 25.0 \n", + "10 202144 3 18999 15042.0 22956.0 29 23.0 \n", + "11 202143 3 27040 21935.0 32145.0 41 33.0 \n", + "12 202142 3 28343 23382.0 33304.0 43 35.0 \n", + "13 202141 3 25043 20586.0 29500.0 38 31.0 \n", + "14 202140 3 26286 21842.0 30730.0 40 33.0 \n", + "15 202139 3 22155 18014.0 26296.0 34 28.0 \n", + "16 202138 3 15614 12310.0 18918.0 24 19.0 \n", + "17 202137 3 13673 10404.0 16942.0 21 16.0 \n", + "18 202136 3 10289 7505.0 13073.0 16 12.0 \n", + "19 202135 3 12609 9282.0 15936.0 19 14.0 \n", + "20 202134 3 13015 9485.0 16545.0 20 15.0 \n", + "21 202133 3 10392 7042.0 13742.0 16 11.0 \n", + "22 202132 3 15586 11009.0 20163.0 24 17.0 \n", + "23 202131 3 18855 13664.0 24046.0 29 21.0 \n", + "24 202130 3 13991 9695.0 18287.0 21 14.0 \n", + "25 202129 3 13626 9618.0 17634.0 21 15.0 \n", + "26 202128 3 8636 5430.0 11842.0 13 8.0 \n", + "27 202127 3 10693 6838.0 14548.0 16 10.0 \n", + "28 202126 3 7086 4109.0 10063.0 11 6.0 \n", + "29 202125 3 7942 5540.0 10344.0 12 8.0 \n", + "... ... ... ... ... ... ... ... \n", + "1912 198521 3 26096 19621.0 32571.0 47 35.0 \n", + "1913 198520 3 27896 20885.0 34907.0 51 38.0 \n", + "1914 198519 3 43154 32821.0 53487.0 78 59.0 \n", + "1915 198518 3 40555 29935.0 51175.0 74 55.0 \n", + "1916 198517 3 34053 24366.0 43740.0 62 44.0 \n", + "1917 198516 3 50362 36451.0 64273.0 91 66.0 \n", + "1918 198515 3 63881 45538.0 82224.0 116 83.0 \n", + "1919 198514 3 134545 114400.0 154690.0 244 207.0 \n", + "1920 198513 3 197206 176080.0 218332.0 357 319.0 \n", + "1921 198512 3 245240 223304.0 267176.0 445 405.0 \n", + "1922 198511 3 276205 252399.0 300011.0 501 458.0 \n", + "1923 198510 3 353231 326279.0 380183.0 640 591.0 \n", + "1924 198509 3 369895 341109.0 398681.0 670 618.0 \n", + "1925 198508 3 389886 359529.0 420243.0 707 652.0 \n", + "1926 198507 3 471852 432599.0 511105.0 855 784.0 \n", + "1927 198506 3 565825 518011.0 613639.0 1026 939.0 \n", + "1928 198505 3 637302 592795.0 681809.0 1155 1074.0 \n", + "1929 198504 3 424937 390794.0 459080.0 770 708.0 \n", + "1930 198503 3 213901 174689.0 253113.0 388 317.0 \n", + "1931 198502 3 97586 80949.0 114223.0 177 147.0 \n", + "1932 198501 3 85489 65918.0 105060.0 155 120.0 \n", + "1933 198452 3 84830 60602.0 109058.0 154 110.0 \n", + "1934 198451 3 101726 80242.0 123210.0 185 146.0 \n", + "1935 198450 3 123680 101401.0 145959.0 225 184.0 \n", + "1936 198449 3 101073 81684.0 120462.0 184 149.0 \n", + "1937 198448 3 78620 60634.0 96606.0 143 110.0 \n", + "1938 198447 3 72029 54274.0 89784.0 131 99.0 \n", + "1939 198446 3 87330 67686.0 106974.0 159 123.0 \n", + "1940 198445 3 135223 101414.0 169032.0 246 184.0 \n", + "1941 198444 3 68422 20056.0 116788.0 125 37.0 \n", + "\n", + " inc100_up geo_insee geo_name \n", + "0 106.0 FR France \n", + "1 94.0 FR France \n", + "2 92.0 FR France \n", + "3 73.0 FR France \n", + "4 67.0 FR France \n", + "5 69.0 FR France \n", + "6 71.0 FR France \n", + "7 63.0 FR France \n", + "8 53.0 FR France \n", + "9 37.0 FR France \n", + "10 35.0 FR France \n", + "11 49.0 FR France \n", + "12 51.0 FR France \n", + "13 45.0 FR France \n", + "14 47.0 FR France \n", + "15 40.0 FR France \n", + "16 29.0 FR France \n", + "17 26.0 FR France \n", + "18 20.0 FR France \n", + "19 24.0 FR France \n", + "20 25.0 FR France \n", + "21 21.0 FR France \n", + "22 31.0 FR France \n", + "23 37.0 FR France \n", + "24 28.0 FR France \n", + "25 27.0 FR France \n", + "26 18.0 FR France \n", + "27 22.0 FR France \n", + "28 16.0 FR France \n", + "29 16.0 FR France \n", + "... ... ... ... \n", + "1912 59.0 FR France \n", + "1913 64.0 FR France \n", + "1914 97.0 FR France \n", + "1915 93.0 FR France \n", + "1916 80.0 FR France \n", + "1917 116.0 FR France \n", + "1918 149.0 FR France \n", + "1919 281.0 FR France \n", + "1920 395.0 FR France \n", + "1921 485.0 FR France \n", + "1922 544.0 FR France \n", + "1923 689.0 FR France \n", + "1924 722.0 FR France \n", + "1925 762.0 FR France \n", + "1926 926.0 FR France \n", + "1927 1113.0 FR France \n", + "1928 1236.0 FR France \n", + "1929 832.0 FR France \n", + "1930 459.0 FR France \n", + "1931 207.0 FR France \n", + "1932 190.0 FR France \n", + "1933 198.0 FR France \n", + "1934 224.0 FR France \n", + "1935 266.0 FR France \n", + "1936 219.0 FR France \n", + "1937 176.0 FR France \n", + "1938 163.0 FR France \n", + "1939 195.0 FR France \n", + "1940 308.0 FR France \n", + "1941 213.0 FR France \n", + "\n", + "[1941 rows x 10 columns]" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "data = raw_data.dropna().copy()\n", "data" @@ -122,7 +2132,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -152,10 +2162,8 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, + "execution_count": 7, + "metadata": {}, "outputs": [], "source": [ "sorted_data = data.set_index('period').sort_index()" @@ -179,9 +2187,17 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1989-05-01/1989-05-07 1989-05-15/1989-05-21\n" + ] + } + ], "source": [ "periods = sorted_data.index\n", "for p1, p2 in zip(periods[:-1], periods[1:]):\n", @@ -199,9 +2215,32 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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\n", 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5115251\n", + "1990 5235827\n", + "1989 5466192\n", + "dtype: int64" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "yearly_incidence.sort_values()" ] @@ -331,9 +2461,32 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 15, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "yearly_incidence.hist(xrot=20)" ] @@ -341,9 +2494,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": true - }, + "metadata": {}, "outputs": [], "source": [] } @@ -364,7 +2515,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.1" + "version": "3.6.4" } }, "nbformat": 4, diff --git a/module3/exo1/data.csv b/module3/exo1/data.csv new file mode 100644 index 0000000..dc749c3 --- /dev/null +++ b/module3/exo1/data.csv @@ -0,0 +1,1944 @@ +# @source="réseau Sentinelles, INSERM, Sorbonne Université, http://www.sentiweb.fr", @meta={"period":[198444,202202],"geo":["PAY","1"],"geo_ref":"insee","indicator":"3","type":"all","conf_int":true,"compact":false}, @date=2022-01-21T10:14:14+01:00 +week,indicator,inc,inc_low,inc_up,inc100,inc100_low,inc100_up,geo_insee,geo_name 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