From 8b8149532e6e79226b35c72911b522bad287617a Mon Sep 17 00:00:00 2001 From: 9a02f6b2244ebbd6e980567a3f35fb05 <9a02f6b2244ebbd6e980567a3f35fb05@app-learninglab.inria.fr> Date: Mon, 30 Mar 2020 13:24:48 +0000 Subject: [PATCH] no commit message --- module3/exo1/analyse-syndrome-grippal.ipynb | 2229 ++++++++++++++++++- module3/exo1/incidence-PAY-3.csv | 1849 +++++++++++++++ module3/exo1/syndrome-grippal.csv | 1849 +++++++++++++++ 3 files changed, 5890 insertions(+), 37 deletions(-) create mode 100644 module3/exo1/incidence-PAY-3.csv create mode 100644 module3/exo1/syndrome-grippal.csv diff --git a/module3/exo1/analyse-syndrome-grippal.ipynb b/module3/exo1/analyse-syndrome-grippal.ipynb index 59d72b5..51e2781 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\"" @@ -59,13 +57,1000 @@ "La première ligne du fichier CSV est un commentaire, que nous ignorons en précisant `skiprows=1`." ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Pour éviter une suppression des données en lignes, nous téléchargeons les données et utilisons le fichier local. S'il n'existe pas, nous utilisons le fichier internet." + ] + }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ - "raw_data = pd.read_csv(data_url, skiprows=1)\n", + "data_file = \"incidence-PAY-3.csv\"\n", + "\n", + "import os\n", + "if not os.path.exists(data_file):\n", + " data_file=data_url" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
0202012387656177.011353.0139.017.0FRFrance
1202011310175693701.0109811.0155143.0167.0FRFrance
2202010310497796650.0113304.0159146.0172.0FRFrance
32020093110696102066.0119326.0168155.0181.0FRFrance
42020083143753133984.0153522.0218203.0233.0FRFrance
52020073183610172812.0194408.0279263.0295.0FRFrance
62020063206669195481.0217857.0314297.0331.0FRFrance
72020053187957177445.0198469.0285269.0301.0FRFrance
82020043122331113492.0131170.0186173.0199.0FRFrance
920200337841371330.085496.0119108.0130.0FRFrance
1020200235361447654.059574.08172.090.0FRFrance
1120200133685031608.042092.05648.064.0FRFrance
1220195232813523220.033050.04336.050.0FRFrance
1320195132978625042.034530.04538.052.0FRFrance
1420195033422329156.039290.05244.060.0FRFrance
1520194932566221414.029910.03933.045.0FRFrance
1620194832236718055.026679.03427.041.0FRFrance
1720194731866914759.022579.02822.034.0FRFrance
1820194631603012567.019493.02419.029.0FRFrance
192019453101387160.013116.01510.020.0FRFrance
20201944378225010.010634.0128.016.0FRFrance
21201943394876448.012526.0149.019.0FRFrance
22201942377475243.010251.0128.016.0FRFrance
23201941371224720.09524.0117.015.0FRFrance
24201940385055784.011226.0139.017.0FRFrance
25201939370914462.09720.0117.015.0FRFrance
26201938348972891.06903.074.010.0FRFrance
27201937331721367.04977.052.08.0FRFrance
2820193632295728.03862.031.05.0FRFrance
29201935310102.02018.020.04.0FRFrance
.................................
181719852132609619621.032571.04735.059.0FRFrance
181819852032789620885.034907.05138.064.0FRFrance
181919851934315432821.053487.07859.097.0FRFrance
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182219851635036236451.064273.09166.0116.0FRFrance
182319851536388145538.082224.011683.0149.0FRFrance
18241985143134545114400.0154690.0244207.0281.0FRFrance
18251985133197206176080.0218332.0357319.0395.0FRFrance
18261985123245240223304.0267176.0445405.0485.0FRFrance
18271985113276205252399.0300011.0501458.0544.0FRFrance
18281985103353231326279.0380183.0640591.0689.0FRFrance
18291985093369895341109.0398681.0670618.0722.0FRFrance
18301985083389886359529.0420243.0707652.0762.0FRFrance
18311985073471852432599.0511105.0855784.0926.0FRFrance
18321985063565825518011.0613639.01026939.01113.0FRFrance
18331985053637302592795.0681809.011551074.01236.0FRFrance
18341985043424937390794.0459080.0770708.0832.0FRFrance
18351985033213901174689.0253113.0388317.0459.0FRFrance
183619850239758680949.0114223.0177147.0207.0FRFrance
183719850138548965918.0105060.0155120.0190.0FRFrance
183819845238483060602.0109058.0154110.0198.0FRFrance
1839198451310172680242.0123210.0185146.0224.0FRFrance
18401984503123680101401.0145959.0225184.0266.0FRFrance
1841198449310107381684.0120462.0184149.0219.0FRFrance
184219844837862060634.096606.0143110.0176.0FRFrance
184319844737202954274.089784.013199.0163.0FRFrance
184419844638733067686.0106974.0159123.0195.0FRFrance
18451984453135223101414.0169032.0246184.0308.0FRFrance
184619844436842220056.0116788.012537.0213.0FRFrance
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1847 rows × 10 columns

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" + ], + "text/plain": [ + " week indicator inc inc_low inc_up inc100 inc100_low \\\n", + "0 202012 3 8765 6177.0 11353.0 13 9.0 \n", + "1 202011 3 101756 93701.0 109811.0 155 143.0 \n", + "2 202010 3 104977 96650.0 113304.0 159 146.0 \n", + "3 202009 3 110696 102066.0 119326.0 168 155.0 \n", + "4 202008 3 143753 133984.0 153522.0 218 203.0 \n", + "5 202007 3 183610 172812.0 194408.0 279 263.0 \n", + "6 202006 3 206669 195481.0 217857.0 314 297.0 \n", + "7 202005 3 187957 177445.0 198469.0 285 269.0 \n", + "8 202004 3 122331 113492.0 131170.0 186 173.0 \n", + "9 202003 3 78413 71330.0 85496.0 119 108.0 \n", + "10 202002 3 53614 47654.0 59574.0 81 72.0 \n", + "11 202001 3 36850 31608.0 42092.0 56 48.0 \n", + "12 201952 3 28135 23220.0 33050.0 43 36.0 \n", + "13 201951 3 29786 25042.0 34530.0 45 38.0 \n", + "14 201950 3 34223 29156.0 39290.0 52 44.0 \n", + "15 201949 3 25662 21414.0 29910.0 39 33.0 \n", + "16 201948 3 22367 18055.0 26679.0 34 27.0 \n", + "17 201947 3 18669 14759.0 22579.0 28 22.0 \n", + "18 201946 3 16030 12567.0 19493.0 24 19.0 \n", + "19 201945 3 10138 7160.0 13116.0 15 10.0 \n", + "20 201944 3 7822 5010.0 10634.0 12 8.0 \n", + "21 201943 3 9487 6448.0 12526.0 14 9.0 \n", + "22 201942 3 7747 5243.0 10251.0 12 8.0 \n", + "23 201941 3 7122 4720.0 9524.0 11 7.0 \n", + "24 201940 3 8505 5784.0 11226.0 13 9.0 \n", + "25 201939 3 7091 4462.0 9720.0 11 7.0 \n", + "26 201938 3 4897 2891.0 6903.0 7 4.0 \n", + "27 201937 3 3172 1367.0 4977.0 5 2.0 \n", + "28 201936 3 2295 728.0 3862.0 3 1.0 \n", + "29 201935 3 1010 2.0 2018.0 2 0.0 \n", + "... ... ... ... ... ... ... ... \n", + "1817 198521 3 26096 19621.0 32571.0 47 35.0 \n", + "1818 198520 3 27896 20885.0 34907.0 51 38.0 \n", + "1819 198519 3 43154 32821.0 53487.0 78 59.0 \n", + "1820 198518 3 40555 29935.0 51175.0 74 55.0 \n", + "1821 198517 3 34053 24366.0 43740.0 62 44.0 \n", + "1822 198516 3 50362 36451.0 64273.0 91 66.0 \n", + "1823 198515 3 63881 45538.0 82224.0 116 83.0 \n", + "1824 198514 3 134545 114400.0 154690.0 244 207.0 \n", + "1825 198513 3 197206 176080.0 218332.0 357 319.0 \n", + "1826 198512 3 245240 223304.0 267176.0 445 405.0 \n", + "1827 198511 3 276205 252399.0 300011.0 501 458.0 \n", + "1828 198510 3 353231 326279.0 380183.0 640 591.0 \n", + "1829 198509 3 369895 341109.0 398681.0 670 618.0 \n", + "1830 198508 3 389886 359529.0 420243.0 707 652.0 \n", + "1831 198507 3 471852 432599.0 511105.0 855 784.0 \n", + "1832 198506 3 565825 518011.0 613639.0 1026 939.0 \n", + "1833 198505 3 637302 592795.0 681809.0 1155 1074.0 \n", + "1834 198504 3 424937 390794.0 459080.0 770 708.0 \n", + "1835 198503 3 213901 174689.0 253113.0 388 317.0 \n", + "1836 198502 3 97586 80949.0 114223.0 177 147.0 \n", + "1837 198501 3 85489 65918.0 105060.0 155 120.0 \n", + "1838 198452 3 84830 60602.0 109058.0 154 110.0 \n", + "1839 198451 3 101726 80242.0 123210.0 185 146.0 \n", + "1840 198450 3 123680 101401.0 145959.0 225 184.0 \n", + "1841 198449 3 101073 81684.0 120462.0 184 149.0 \n", + "1842 198448 3 78620 60634.0 96606.0 143 110.0 \n", + "1843 198447 3 72029 54274.0 89784.0 131 99.0 \n", + "1844 198446 3 87330 67686.0 106974.0 159 123.0 \n", + "1845 198445 3 135223 101414.0 169032.0 246 184.0 \n", + "1846 198444 3 68422 20056.0 116788.0 125 37.0 \n", + "\n", + " inc100_up geo_insee geo_name \n", + "0 17.0 FR France \n", + "1 167.0 FR France \n", + "2 172.0 FR France \n", + "3 181.0 FR France \n", + "4 233.0 FR France \n", + "5 295.0 FR France \n", + "6 331.0 FR France \n", + "7 301.0 FR France \n", + "8 199.0 FR France \n", + "9 130.0 FR France \n", + "10 90.0 FR France \n", + "11 64.0 FR France \n", + "12 50.0 FR France \n", + "13 52.0 FR France \n", + "14 60.0 FR France \n", + "15 45.0 FR France \n", + "16 41.0 FR France \n", + "17 34.0 FR France \n", + "18 29.0 FR France \n", + "19 20.0 FR France \n", + "20 16.0 FR France \n", + "21 19.0 FR France \n", + "22 16.0 FR France \n", + "23 15.0 FR France \n", + "24 17.0 FR France \n", + "25 15.0 FR France \n", + "26 10.0 FR France \n", + "27 8.0 FR France \n", + "28 5.0 FR France \n", + "29 4.0 FR France \n", + "... ... ... ... \n", + "1817 59.0 FR France \n", + "1818 64.0 FR France \n", + "1819 97.0 FR France \n", + "1820 93.0 FR France \n", + "1821 80.0 FR France \n", + "1822 116.0 FR France \n", + "1823 149.0 FR France \n", + "1824 281.0 FR France \n", + "1825 395.0 FR France \n", + "1826 485.0 FR France \n", + "1827 544.0 FR France \n", + "1828 689.0 FR France \n", + "1829 722.0 FR France \n", + "1830 762.0 FR France \n", + "1831 926.0 FR France \n", + "1832 1113.0 FR France \n", + "1833 1236.0 FR France \n", + "1834 832.0 FR France \n", + "1835 459.0 FR France \n", + "1836 207.0 FR France \n", + "1837 190.0 FR France \n", + "1838 198.0 FR France \n", + "1839 224.0 FR France \n", + "1840 266.0 FR France \n", + "1841 219.0 FR France \n", + "1842 176.0 FR France \n", + "1843 163.0 FR France \n", + "1844 195.0 FR France \n", + "1845 308.0 FR France \n", + "1846 213.0 FR France \n", + "\n", + "[1847 rows x 10 columns]" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "raw_data = pd.read_csv(data_file, skiprows=1)\n", "raw_data" ] }, @@ -78,9 +1063,73 @@ }, { "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
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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
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42020083143753133984.0153522.0218203.0233.0FRFrance
52020073183610172812.0194408.0279263.0295.0FRFrance
62020063206669195481.0217857.0314297.0331.0FRFrance
72020053187957177445.0198469.0285269.0301.0FRFrance
82020043122331113492.0131170.0186173.0199.0FRFrance
920200337841371330.085496.0119108.0130.0FRFrance
1020200235361447654.059574.08172.090.0FRFrance
1120200133685031608.042092.05648.064.0FRFrance
1220195232813523220.033050.04336.050.0FRFrance
1320195132978625042.034530.04538.052.0FRFrance
1420195033422329156.039290.05244.060.0FRFrance
1520194932566221414.029910.03933.045.0FRFrance
1620194832236718055.026679.03427.041.0FRFrance
1720194731866914759.022579.02822.034.0FRFrance
1820194631603012567.019493.02419.029.0FRFrance
192019453101387160.013116.01510.020.0FRFrance
20201944378225010.010634.0128.016.0FRFrance
21201943394876448.012526.0149.019.0FRFrance
22201942377475243.010251.0128.016.0FRFrance
23201941371224720.09524.0117.015.0FRFrance
24201940385055784.011226.0139.017.0FRFrance
25201939370914462.09720.0117.015.0FRFrance
26201938348972891.06903.074.010.0FRFrance
27201937331721367.04977.052.08.0FRFrance
2820193632295728.03862.031.05.0FRFrance
29201935310102.02018.020.04.0FRFrance
.................................
181719852132609619621.032571.04735.059.0FRFrance
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1846 rows × 10 columns

\n", + "
" + ], + "text/plain": [ + " week indicator inc inc_low inc_up inc100 inc100_low \\\n", + "0 202012 3 8765 6177.0 11353.0 13 9.0 \n", + "1 202011 3 101756 93701.0 109811.0 155 143.0 \n", + "2 202010 3 104977 96650.0 113304.0 159 146.0 \n", + "3 202009 3 110696 102066.0 119326.0 168 155.0 \n", + "4 202008 3 143753 133984.0 153522.0 218 203.0 \n", + "5 202007 3 183610 172812.0 194408.0 279 263.0 \n", + "6 202006 3 206669 195481.0 217857.0 314 297.0 \n", + "7 202005 3 187957 177445.0 198469.0 285 269.0 \n", + "8 202004 3 122331 113492.0 131170.0 186 173.0 \n", + "9 202003 3 78413 71330.0 85496.0 119 108.0 \n", + "10 202002 3 53614 47654.0 59574.0 81 72.0 \n", + "11 202001 3 36850 31608.0 42092.0 56 48.0 \n", + "12 201952 3 28135 23220.0 33050.0 43 36.0 \n", + "13 201951 3 29786 25042.0 34530.0 45 38.0 \n", + "14 201950 3 34223 29156.0 39290.0 52 44.0 \n", + "15 201949 3 25662 21414.0 29910.0 39 33.0 \n", + "16 201948 3 22367 18055.0 26679.0 34 27.0 \n", + "17 201947 3 18669 14759.0 22579.0 28 22.0 \n", + "18 201946 3 16030 12567.0 19493.0 24 19.0 \n", + "19 201945 3 10138 7160.0 13116.0 15 10.0 \n", + "20 201944 3 7822 5010.0 10634.0 12 8.0 \n", + "21 201943 3 9487 6448.0 12526.0 14 9.0 \n", + "22 201942 3 7747 5243.0 10251.0 12 8.0 \n", + "23 201941 3 7122 4720.0 9524.0 11 7.0 \n", + "24 201940 3 8505 5784.0 11226.0 13 9.0 \n", + "25 201939 3 7091 4462.0 9720.0 11 7.0 \n", + "26 201938 3 4897 2891.0 6903.0 7 4.0 \n", + "27 201937 3 3172 1367.0 4977.0 5 2.0 \n", + "28 201936 3 2295 728.0 3862.0 3 1.0 \n", + "29 201935 3 1010 2.0 2018.0 2 0.0 \n", + "... ... ... ... ... ... ... ... \n", + "1817 198521 3 26096 19621.0 32571.0 47 35.0 \n", + "1818 198520 3 27896 20885.0 34907.0 51 38.0 \n", + "1819 198519 3 43154 32821.0 53487.0 78 59.0 \n", + "1820 198518 3 40555 29935.0 51175.0 74 55.0 \n", + "1821 198517 3 34053 24366.0 43740.0 62 44.0 \n", + "1822 198516 3 50362 36451.0 64273.0 91 66.0 \n", + "1823 198515 3 63881 45538.0 82224.0 116 83.0 \n", + "1824 198514 3 134545 114400.0 154690.0 244 207.0 \n", + "1825 198513 3 197206 176080.0 218332.0 357 319.0 \n", + "1826 198512 3 245240 223304.0 267176.0 445 405.0 \n", + "1827 198511 3 276205 252399.0 300011.0 501 458.0 \n", + "1828 198510 3 353231 326279.0 380183.0 640 591.0 \n", + "1829 198509 3 369895 341109.0 398681.0 670 618.0 \n", + "1830 198508 3 389886 359529.0 420243.0 707 652.0 \n", + "1831 198507 3 471852 432599.0 511105.0 855 784.0 \n", + "1832 198506 3 565825 518011.0 613639.0 1026 939.0 \n", + "1833 198505 3 637302 592795.0 681809.0 1155 1074.0 \n", + "1834 198504 3 424937 390794.0 459080.0 770 708.0 \n", + "1835 198503 3 213901 174689.0 253113.0 388 317.0 \n", + "1836 198502 3 97586 80949.0 114223.0 177 147.0 \n", + "1837 198501 3 85489 65918.0 105060.0 155 120.0 \n", + "1838 198452 3 84830 60602.0 109058.0 154 110.0 \n", + "1839 198451 3 101726 80242.0 123210.0 185 146.0 \n", + "1840 198450 3 123680 101401.0 145959.0 225 184.0 \n", + "1841 198449 3 101073 81684.0 120462.0 184 149.0 \n", + "1842 198448 3 78620 60634.0 96606.0 143 110.0 \n", + "1843 198447 3 72029 54274.0 89784.0 131 99.0 \n", + "1844 198446 3 87330 67686.0 106974.0 159 123.0 \n", + "1845 198445 3 135223 101414.0 169032.0 246 184.0 \n", + "1846 198444 3 68422 20056.0 116788.0 125 37.0 \n", + "\n", + " inc100_up geo_insee geo_name \n", + "0 17.0 FR France \n", + "1 167.0 FR France \n", + "2 172.0 FR France \n", + "3 181.0 FR France \n", + "4 233.0 FR France \n", + "5 295.0 FR France \n", + "6 331.0 FR France \n", + "7 301.0 FR France \n", + "8 199.0 FR France \n", + "9 130.0 FR France \n", + "10 90.0 FR France \n", + "11 64.0 FR France \n", + "12 50.0 FR France \n", + "13 52.0 FR France \n", + "14 60.0 FR France \n", + "15 45.0 FR France \n", + "16 41.0 FR France \n", + "17 34.0 FR France \n", + "18 29.0 FR France \n", + "19 20.0 FR France \n", + "20 16.0 FR France \n", + "21 19.0 FR France \n", + "22 16.0 FR France \n", + "23 15.0 FR France \n", + "24 17.0 FR France \n", + "25 15.0 FR France \n", + "26 10.0 FR France \n", + "27 8.0 FR France \n", + "28 5.0 FR France \n", + "29 4.0 FR France \n", + "... ... ... ... \n", + "1817 59.0 FR France \n", + "1818 64.0 FR France \n", + "1819 97.0 FR France \n", + "1820 93.0 FR France \n", + "1821 80.0 FR France \n", + "1822 116.0 FR France \n", + "1823 149.0 FR France \n", + "1824 281.0 FR France \n", + "1825 395.0 FR France \n", + "1826 485.0 FR France \n", + "1827 544.0 FR France \n", + "1828 689.0 FR France \n", + "1829 722.0 FR France \n", + "1830 762.0 FR France \n", + "1831 926.0 FR France \n", + "1832 1113.0 FR France \n", + "1833 1236.0 FR France \n", + "1834 832.0 FR France \n", + "1835 459.0 FR France \n", + "1836 207.0 FR France \n", + "1837 190.0 FR France \n", + "1838 198.0 FR France \n", + "1839 224.0 FR France \n", + "1840 266.0 FR France \n", + "1841 219.0 FR France \n", + "1842 176.0 FR France \n", + "1843 163.0 FR France \n", + "1844 195.0 FR France \n", + "1845 308.0 FR France \n", + "1846 213.0 FR France \n", + "\n", + "[1846 rows x 10 columns]" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "data = raw_data.dropna().copy()\n", "data" @@ -122,7 +2138,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ @@ -152,10 +2168,8 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, + "execution_count": 8, + "metadata": {}, "outputs": [], "source": [ "sorted_data = data.set_index('period').sort_index()" @@ -179,9 +2193,17 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "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 +2221,32 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "yearly_incidence.plot(style='*')" ] @@ -314,9 +2403,54 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 15, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "2014 1600941\n", + "1991 1659249\n", + "1995 1840410\n", + "2012 2175217\n", + "2003 2234584\n", + "2019 2254386\n", + "2006 2307352\n", + "2017 2321583\n", + "2001 2529279\n", + "1992 2574578\n", + "1993 2703886\n", + "2018 2705325\n", + "1988 2765617\n", + "2007 2780164\n", + "1987 2855570\n", + "2016 2856393\n", + "2011 2857040\n", + "2008 2973918\n", + "1998 3034904\n", + "2002 3125418\n", + "2009 3444020\n", + "1994 3514763\n", + "1996 3539413\n", + "2004 3567744\n", + "1997 3620066\n", + "2015 3654892\n", + "2000 3826372\n", + "2005 3835025\n", + "1999 3908112\n", + "2010 4111392\n", + "2013 4182691\n", + "1986 5115251\n", + "1990 5235827\n", + "1989 5466192\n", + "dtype: int64" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "yearly_incidence.sort_values()" ] @@ -331,9 +2465,32 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 16, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 16, + "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 +2498,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": true - }, + "metadata": {}, "outputs": [], "source": [] } @@ -364,7 +2519,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.1" + "version": "3.6.4" } }, "nbformat": 4, diff --git a/module3/exo1/incidence-PAY-3.csv b/module3/exo1/incidence-PAY-3.csv new file mode 100644 index 0000000..dcc2764 --- /dev/null +++ b/module3/exo1/incidence-PAY-3.csv @@ -0,0 +1,1849 @@ +# @source="réseau Sentinelles, INSERM, Sorbonne Université, http://www.sentiweb.fr", @meta={"period":[198444,202012],"geo":["PAY","1"],"geo_ref":"insee","indicator":"3","type":"all","conf_int":true,"compact":false}, @date=2020-03-30T15:18:34+02:00 +week,indicator,inc,inc_low,inc_up,inc100,inc100_low,inc100_up,geo_insee,geo_name 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