diff --git a/module3/exo1/analyse-syndrome-grippal.ipynb b/module3/exo1/analyse-syndrome-grippal.ipynb index 59d72b5b58a3ae26346460dd39e62a39c55243d7..f524120f5b50c99d6e9d1097a7a5980590051d37 100644 --- a/module3/exo1/analyse-syndrome-grippal.ipynb +++ b/module3/exo1/analyse-syndrome-grippal.ipynb @@ -9,14 +9,15 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "%matplotlib inline\n", "import matplotlib.pyplot as plt\n", "import pandas as pd\n", - "import isoweek" + "import isoweek\n", + "import os" ] }, { @@ -28,10 +29,8 @@ }, { "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 +60,1046 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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176.0 FR France \n", + "27 142.0 166.0 FR France \n", + "28 146.0 172.0 FR France \n", + "29 155.0 181.0 FR France \n", + "... ... ... ... ... \n", + "1843 35.0 59.0 FR France \n", + "1844 38.0 64.0 FR France \n", + "1845 59.0 97.0 FR France \n", + "1846 55.0 93.0 FR France \n", + "1847 44.0 80.0 FR France \n", + "1848 66.0 116.0 FR France \n", + "1849 83.0 149.0 FR France \n", + "1850 207.0 281.0 FR France \n", + "1851 319.0 395.0 FR France \n", + "1852 405.0 485.0 FR France \n", + "1853 458.0 544.0 FR France \n", + "1854 591.0 689.0 FR France \n", + "1855 618.0 722.0 FR France \n", + "1856 652.0 762.0 FR France \n", + "1857 784.0 926.0 FR France \n", + "1858 939.0 1113.0 FR France \n", + "1859 1074.0 1236.0 FR France \n", + "1860 708.0 832.0 FR France \n", + "1861 317.0 459.0 FR France \n", + "1862 147.0 207.0 FR France \n", + "1863 120.0 190.0 FR France \n", + "1864 110.0 198.0 FR France \n", + "1865 146.0 224.0 FR France \n", + "1866 184.0 266.0 FR France \n", + "1867 149.0 219.0 FR France \n", + "1868 110.0 176.0 FR France \n", + "1869 99.0 163.0 FR France \n", + "1870 123.0 195.0 FR France \n", + "1871 184.0 308.0 FR France \n", + "1872 37.0 213.0 FR France \n", + "\n", + "[1873 rows x 11 columns]" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "raw_data = pd.read_csv(data_url, skiprows=1)\n", + "local = 'local_data.csv'\n", + "if os.path.exists(local):\n", + " raw_data = pd.read_csv(local)\n", + "else:\n", + " raw_data = pd.read_csv(data_url, skiprows=1)\n", + " with open(local,'w') as fd:\n", + " fd.writelines(raw_data.to_csv())\n", "raw_data" ] }, @@ -78,9 +1112,75 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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1872 rows × 11 columns

\n", + "
" + ], + "text/plain": [ + " Unnamed: 0 week indicator inc inc_low inc_up inc100 \\\n", + "0 0 202038 3 25578 21135.0 30021.0 39 \n", + "1 1 202037 3 18485 14649.0 22321.0 28 \n", + "2 2 202036 3 10390 7646.0 13134.0 16 \n", + "3 3 202035 3 9918 6842.0 12994.0 15 \n", + "4 4 202034 3 6084 3090.0 9078.0 9 \n", + "5 5 202033 3 6106 3411.0 8801.0 9 \n", + "6 6 202032 3 5918 3330.0 8506.0 9 \n", + "7 7 202031 3 4351 2269.0 6433.0 7 \n", + "8 8 202030 3 8179 5442.0 10916.0 12 \n", + "9 9 202029 3 8687 5860.0 11514.0 13 \n", + "10 10 202028 3 8340 5701.0 10979.0 13 \n", + "11 11 202027 3 4066 2406.0 5726.0 6 \n", + "12 12 202026 3 4039 2389.0 5689.0 6 \n", + "13 13 202025 3 2853 1488.0 4218.0 4 \n", + "14 14 202024 3 3058 1690.0 4426.0 5 \n", + "15 15 202023 3 4168 2468.0 5868.0 6 \n", + "16 16 202022 3 3580 1947.0 5213.0 5 \n", + "17 17 202021 3 6114 4026.0 8202.0 9 \n", + "18 18 202020 3 9315 6775.0 11855.0 14 \n", + "19 19 202019 3 11679 8722.0 14636.0 18 \n", + "20 20 202018 3 16398 12851.0 19945.0 25 \n", + "21 21 202017 3 18082 14454.0 21710.0 27 \n", + "22 22 202016 3 24165 19893.0 28437.0 37 \n", + "23 23 202015 3 41049 35377.0 46721.0 62 \n", + "24 24 202014 3 71666 64531.0 78801.0 109 \n", + "25 25 202013 3 107742 99187.0 116297.0 164 \n", + "26 26 202012 3 107283 98610.0 115956.0 163 \n", + "27 27 202011 3 101704 93652.0 109756.0 154 \n", + "28 28 202010 3 104977 96650.0 113304.0 159 \n", + "29 29 202009 3 110696 102066.0 119326.0 168 \n", + "... ... ... ... ... ... ... ... \n", + "1843 1843 198521 3 26096 19621.0 32571.0 47 \n", + "1844 1844 198520 3 27896 20885.0 34907.0 51 \n", + "1845 1845 198519 3 43154 32821.0 53487.0 78 \n", + "1846 1846 198518 3 40555 29935.0 51175.0 74 \n", + "1847 1847 198517 3 34053 24366.0 43740.0 62 \n", + "1848 1848 198516 3 50362 36451.0 64273.0 91 \n", + "1849 1849 198515 3 63881 45538.0 82224.0 116 \n", + "1850 1850 198514 3 134545 114400.0 154690.0 244 \n", + "1851 1851 198513 3 197206 176080.0 218332.0 357 \n", + "1852 1852 198512 3 245240 223304.0 267176.0 445 \n", + "1853 1853 198511 3 276205 252399.0 300011.0 501 \n", + "1854 1854 198510 3 353231 326279.0 380183.0 640 \n", + "1855 1855 198509 3 369895 341109.0 398681.0 670 \n", + "1856 1856 198508 3 389886 359529.0 420243.0 707 \n", + "1857 1857 198507 3 471852 432599.0 511105.0 855 \n", + "1858 1858 198506 3 565825 518011.0 613639.0 1026 \n", + "1859 1859 198505 3 637302 592795.0 681809.0 1155 \n", + "1860 1860 198504 3 424937 390794.0 459080.0 770 \n", + "1861 1861 198503 3 213901 174689.0 253113.0 388 \n", + "1862 1862 198502 3 97586 80949.0 114223.0 177 \n", + "1863 1863 198501 3 85489 65918.0 105060.0 155 \n", + "1864 1864 198452 3 84830 60602.0 109058.0 154 \n", + "1865 1865 198451 3 101726 80242.0 123210.0 185 \n", + "1866 1866 198450 3 123680 101401.0 145959.0 225 \n", + "1867 1867 198449 3 101073 81684.0 120462.0 184 \n", + "1868 1868 198448 3 78620 60634.0 96606.0 143 \n", + "1869 1869 198447 3 72029 54274.0 89784.0 131 \n", + "1870 1870 198446 3 87330 67686.0 106974.0 159 \n", + "1871 1871 198445 3 135223 101414.0 169032.0 246 \n", + "1872 1872 198444 3 68422 20056.0 116788.0 125 \n", + "\n", + " inc100_low inc100_up geo_insee geo_name \n", + "0 32.0 46.0 FR France \n", + "1 22.0 34.0 FR France \n", + "2 12.0 20.0 FR France \n", + "3 10.0 20.0 FR France \n", + "4 4.0 14.0 FR France \n", + "5 5.0 13.0 FR France \n", + "6 5.0 13.0 FR France \n", + "7 4.0 10.0 FR France \n", + "8 8.0 16.0 FR France \n", + "9 9.0 17.0 FR France \n", + "10 9.0 17.0 FR France \n", + "11 3.0 9.0 FR France \n", + "12 3.0 9.0 FR France \n", + "13 2.0 6.0 FR France \n", + "14 3.0 7.0 FR France \n", + "15 3.0 9.0 FR France \n", + "16 3.0 7.0 FR France \n", + "17 6.0 12.0 FR France \n", + "18 10.0 18.0 FR France \n", + "19 14.0 22.0 FR France \n", + "20 20.0 30.0 FR France \n", + "21 21.0 33.0 FR France \n", + "22 31.0 43.0 FR France \n", + "23 53.0 71.0 FR France \n", + "24 98.0 120.0 FR France \n", + "25 151.0 177.0 FR France \n", + "26 150.0 176.0 FR France \n", + "27 142.0 166.0 FR France \n", + "28 146.0 172.0 FR France \n", + "29 155.0 181.0 FR France \n", + "... ... ... ... ... \n", + "1843 35.0 59.0 FR France \n", + "1844 38.0 64.0 FR France \n", + "1845 59.0 97.0 FR France \n", + "1846 55.0 93.0 FR France \n", + "1847 44.0 80.0 FR France \n", + "1848 66.0 116.0 FR France \n", + "1849 83.0 149.0 FR France \n", + "1850 207.0 281.0 FR France \n", + "1851 319.0 395.0 FR France \n", + "1852 405.0 485.0 FR France \n", + "1853 458.0 544.0 FR France \n", + "1854 591.0 689.0 FR France \n", + "1855 618.0 722.0 FR France \n", + "1856 652.0 762.0 FR France \n", + "1857 784.0 926.0 FR France \n", + "1858 939.0 1113.0 FR France \n", + "1859 1074.0 1236.0 FR France \n", + "1860 708.0 832.0 FR France \n", + "1861 317.0 459.0 FR France \n", + "1862 147.0 207.0 FR France \n", + "1863 120.0 190.0 FR France \n", + "1864 110.0 198.0 FR France \n", + "1865 146.0 224.0 FR France \n", + "1866 184.0 266.0 FR France \n", + "1867 149.0 219.0 FR France \n", + "1868 110.0 176.0 FR France \n", + "1869 99.0 163.0 FR France \n", + "1870 123.0 195.0 FR France \n", + "1871 184.0 308.0 FR France \n", + "1872 37.0 213.0 FR France \n", + "\n", + "[1872 rows x 11 columns]" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "data = raw_data.dropna().copy()\n", "data" @@ -122,7 +2251,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -152,10 +2281,8 @@ }, { "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 +2306,17 @@ }, { "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 +2334,32 @@ }, { "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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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "sorted_data['inc'][-200:].plot()" ] @@ -252,10 +2433,8 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, + "execution_count": 11, + "metadata": {}, "outputs": [], "source": [ "first_august_week = [pd.Period(pd.Timestamp(y, 8, 1), 'W')\n", @@ -274,7 +2453,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "metadata": {}, "outputs": [], "source": [ @@ -298,9 +2477,32 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 13, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "yearly_incidence.plot(style='*')" ] @@ -314,9 +2516,54 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, "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": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "yearly_incidence.sort_values()" ] @@ -331,9 +2578,32 @@ }, { "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", 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