diff --git a/module3/exo2/exercice.ipynb b/module3/exo2/exercice.ipynb index 0bbbe371b01e359e381e43239412d77bf53fb1fb..866841b2bb5ef412f6cd341a21775f2fef3d6c9d 100644 --- a/module3/exo2/exercice.ipynb +++ b/module3/exo2/exercice.ipynb @@ -1,5 +1,2305 @@ { - "cells": [], + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "%matplotlib inline\n", + "import matplotlib.pyplot as plt\n", + "import pandas as pd\n", + "import isoweek" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "data_url = \"http://www.sentiweb.fr/datasets/incidence-PAY-7.csv\"\n", + "data_file = \"incidence-PAY-7.csv\"\n", + "\n", + "import os\n", + "import urllib.request\n", + "if not os.path.exists(data_file):\n", + " urllib.request.urlretrieve(data_url, data_file)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
0202536711211182124213FRFrance
1202535712361772295204FRFrance
220253471438482828204FRFrance
3202533735796926466519FRFrance
42025327238404809408FRFrance
5202531757030130829020FRFrance
62025307710235901061411616FRFrance
7202529763853384938610614FRFrance
820252875584312380458412FRFrance
920252775667285084848412FRFrance
1020252675872328584599513FRFrance
1120252575953369882089612FRFrance
1220252474580255866027410FRFrance
1320252374911266371597410FRFrance
14202522768373940973410614FRFrance
1520252174693265367337410FRFrance
162025207308315354631537FRFrance
1720251975084199781718313FRFrance
1820251875003271872887410FRFrance
1920251776246342490689513FRFrance
2020251676151319391099513FRFrance
2120251575557326278528511FRFrance
2220251474984285871107410FRFrance
2320251375964360883209513FRFrance
242025127385519955715639FRFrance
2520251175878274790099414FRFrance
262025107292114214421426FRFrance
272025097338114685294528FRFrance
282025087283512864384426FRFrance
2920250774502238266227410FRFrance
.................................
17841991267176081130423912312042FRFrance
17851991257161691070021638281838FRFrance
17861991247161711007122271281739FRFrance
1787199123711947767116223211329FRFrance
1788199122715452995320951271737FRFrance
1789199121714903897520831261636FRFrance
17901991207190531274225364342345FRFrance
17911991197167391124622232291939FRFrance
17921991187213851388228888382551FRFrance
1793199117713462887718047241632FRFrance
17941991167148571006819646261834FRFrance
1795199115713975978118169251832FRFrance
1796199114712265768416846221430FRFrance
179719911379567604113093171123FRFrance
1798199112710864733114397191325FRFrance
17991991117155741118419964271935FRFrance
18001991107166431137221914292038FRFrance
1801199109713741878018702241533FRFrance
1802199108713289881317765231531FRFrance
1803199107712337807716597221529FRFrance
1804199106710877701314741191226FRFrance
1805199105710442654414340181125FRFrance
18061991047791345631126314820FRFrance
18071991037153871048420290271836FRFrance
18081991027162771104621508292038FRFrance
18091991017155651027120859271836FRFrance
18101990527193751329525455342345FRFrance
18111990517190801380724353342543FRFrance
1812199050711079666015498201228FRFrance
18131990497114302610205FRFrance
\n", + "

1814 rows × 10 columns

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" + ], + "text/plain": [ + " week indicator inc inc_low inc_up inc100 inc100_low \\\n", + "0 202536 7 1121 118 2124 2 1 \n", + "1 202535 7 1236 177 2295 2 0 \n", + "2 202534 7 1438 48 2828 2 0 \n", + "3 202533 7 3579 692 6466 5 1 \n", + "4 202532 7 2384 0 4809 4 0 \n", + "5 202531 7 5703 0 13082 9 0 \n", + "6 202530 7 7102 3590 10614 11 6 \n", + "7 202529 7 6385 3384 9386 10 6 \n", + "8 202528 7 5584 3123 8045 8 4 \n", + "9 202527 7 5667 2850 8484 8 4 \n", + "10 202526 7 5872 3285 8459 9 5 \n", + "11 202525 7 5953 3698 8208 9 6 \n", + "12 202524 7 4580 2558 6602 7 4 \n", + "13 202523 7 4911 2663 7159 7 4 \n", + "14 202522 7 6837 3940 9734 10 6 \n", + "15 202521 7 4693 2653 6733 7 4 \n", + "16 202520 7 3083 1535 4631 5 3 \n", + "17 202519 7 5084 1997 8171 8 3 \n", + "18 202518 7 5003 2718 7288 7 4 \n", + "19 202517 7 6246 3424 9068 9 5 \n", + "20 202516 7 6151 3193 9109 9 5 \n", + "21 202515 7 5557 3262 7852 8 5 \n", + "22 202514 7 4984 2858 7110 7 4 \n", + "23 202513 7 5964 3608 8320 9 5 \n", + "24 202512 7 3855 1995 5715 6 3 \n", + "25 202511 7 5878 2747 9009 9 4 \n", + "26 202510 7 2921 1421 4421 4 2 \n", + "27 202509 7 3381 1468 5294 5 2 \n", + "28 202508 7 2835 1286 4384 4 2 \n", + "29 202507 7 4502 2382 6622 7 4 \n", + "... ... ... ... ... ... ... ... \n", + "1784 199126 7 17608 11304 23912 31 20 \n", + "1785 199125 7 16169 10700 21638 28 18 \n", + "1786 199124 7 16171 10071 22271 28 17 \n", + "1787 199123 7 11947 7671 16223 21 13 \n", + "1788 199122 7 15452 9953 20951 27 17 \n", + "1789 199121 7 14903 8975 20831 26 16 \n", + "1790 199120 7 19053 12742 25364 34 23 \n", + "1791 199119 7 16739 11246 22232 29 19 \n", + "1792 199118 7 21385 13882 28888 38 25 \n", + "1793 199117 7 13462 8877 18047 24 16 \n", + "1794 199116 7 14857 10068 19646 26 18 \n", + "1795 199115 7 13975 9781 18169 25 18 \n", + "1796 199114 7 12265 7684 16846 22 14 \n", + "1797 199113 7 9567 6041 13093 17 11 \n", + "1798 199112 7 10864 7331 14397 19 13 \n", + "1799 199111 7 15574 11184 19964 27 19 \n", + "1800 199110 7 16643 11372 21914 29 20 \n", + "1801 199109 7 13741 8780 18702 24 15 \n", + "1802 199108 7 13289 8813 17765 23 15 \n", + "1803 199107 7 12337 8077 16597 22 15 \n", + "1804 199106 7 10877 7013 14741 19 12 \n", + "1805 199105 7 10442 6544 14340 18 11 \n", + "1806 199104 7 7913 4563 11263 14 8 \n", + "1807 199103 7 15387 10484 20290 27 18 \n", + "1808 199102 7 16277 11046 21508 29 20 \n", + "1809 199101 7 15565 10271 20859 27 18 \n", + "1810 199052 7 19375 13295 25455 34 23 \n", + "1811 199051 7 19080 13807 24353 34 25 \n", + "1812 199050 7 11079 6660 15498 20 12 \n", + "1813 199049 7 1143 0 2610 2 0 \n", + "\n", + " inc100_up geo_insee geo_name \n", + "0 3 FR France \n", + "1 4 FR France \n", + "2 4 FR France \n", + "3 9 FR France \n", + "4 8 FR France \n", + "5 20 FR France \n", + "6 16 FR France \n", + "7 14 FR France \n", + "8 12 FR France \n", + "9 12 FR France \n", + "10 13 FR France \n", + "11 12 FR France \n", + "12 10 FR France \n", + "13 10 FR France \n", + "14 14 FR France \n", + "15 10 FR France \n", + "16 7 FR France \n", + "17 13 FR France \n", + "18 10 FR France \n", + "19 13 FR France \n", + "20 13 FR France \n", + "21 11 FR France \n", + "22 10 FR France \n", + "23 13 FR France \n", + "24 9 FR France \n", + "25 14 FR France \n", + "26 6 FR France \n", + "27 8 FR France \n", + "28 6 FR France \n", + "29 10 FR France \n", + "... ... ... ... \n", + "1784 42 FR France \n", + "1785 38 FR France \n", + "1786 39 FR France \n", + "1787 29 FR France \n", + "1788 37 FR France \n", + "1789 36 FR France \n", + "1790 45 FR France \n", + "1791 39 FR France \n", + "1792 51 FR France \n", + "1793 32 FR France \n", + "1794 34 FR France \n", + "1795 32 FR France \n", + "1796 30 FR France \n", + "1797 23 FR France \n", + "1798 25 FR France \n", + "1799 35 FR France \n", + "1800 38 FR France \n", + "1801 33 FR France \n", + "1802 31 FR France \n", + "1803 29 FR France \n", + "1804 26 FR France \n", + "1805 25 FR France \n", + "1806 20 FR France \n", + "1807 36 FR France \n", + "1808 38 FR France \n", + "1809 36 FR France \n", + "1810 45 FR France \n", + "1811 43 FR France \n", + "1812 28 FR France \n", + "1813 5 FR France \n", + "\n", + "[1814 rows x 10 columns]" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data = raw_data.dropna().copy()\n", + "data" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "def convert_week(year_and_week_int):\n", + " year_and_week_str = str(year_and_week_int)\n", + " year = int(year_and_week_str[:4])\n", + " week = int(year_and_week_str[4:])\n", + " w = isoweek.Week(year, week)\n", + " return pd.Period(w.day(0), 'W')\n", + "\n", + "data['period'] = [convert_week(yw) for yw in data['week']]" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "sorted_data = data.set_index('period').sort_index()" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "periods = sorted_data.index\n", + "for p1, p2 in zip(periods[:-1], periods[1:]):\n", + " delta = p2.to_timestamp() - p1.end_time\n", + " if delta > pd.Timedelta('1s'):\n", + " print(p1, p2)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "sorted_data['inc'][-200:].plot()" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "first_september_week = [pd.Period(pd.Timestamp(y, 9, 1), 'W')\n", + " for y in range(1985,\n", + " sorted_data.index[-1].year)]" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "year = []\n", + "yearly_incidence = []\n", + "for week1, week2 in zip(first_september_week[:-1],\n", + " first_september_week[1:]):\n", + " one_year = sorted_data['inc'][week1:week2-1]\n", + " #assert abs(len(one_year)-52) < 2\n", + " yearly_incidence.append(one_year.sum())\n", + " year.append(week2.year)\n", + "yearly_incidence = pd.Series(data=yearly_incidence, index=year)" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 20, + "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.plot(style='*')" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1986 0\n", + "1987 0\n", + "1988 0\n", + "1989 0\n", + "1990 0\n", + "2020 221186\n", + "2023 366227\n", + "2021 376290\n", + "2024 479258\n", + "2002 516689\n", + "2018 542312\n", + "2017 551041\n", + "1991 553090\n", + "1996 564901\n", + "2019 584066\n", + "2015 604382\n", + "2000 617597\n", + "2001 619041\n", + "2012 624573\n", + "2005 628464\n", + "2006 632833\n", + "2022 641397\n", + "2011 642368\n", + "1993 643387\n", + "1995 652478\n", + "1994 661409\n", + "1998 677775\n", + "1997 683434\n", + "2014 685769\n", + "2013 698332\n", + "2007 717352\n", + "2008 749478\n", + "1999 756456\n", + "2003 758363\n", + "2004 777388\n", + "2016 782114\n", + "2010 829911\n", + "1992 832939\n", + "2009 842373\n", + "dtype: int64" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "yearly_incidence.sort_values()" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + " yearly_incidence.hist(xrot=20)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], "metadata": { "kernelspec": { "display_name": "Python 3", @@ -16,10 +2316,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.3" + "version": "3.6.4" } }, "nbformat": 4, "nbformat_minor": 2 } - diff --git a/module3/exo2/incidence-PAY-7.csv b/module3/exo2/incidence-PAY-7.csv new file mode 100644 index 0000000000000000000000000000000000000000..8f21a63ce38a96531c721c207d2fff52976455cf --- /dev/null +++ b/module3/exo2/incidence-PAY-7.csv @@ -0,0 +1,1816 @@ +# {"source":"réseau Sentinelles, INSERM, Sorbonne Université, https:\/\/www.sentiweb.fr","meta":{"period":[199049,202536],"geo":["PAY",0],"geo_ref":"insee","indicator":"7","type":"all","conf_int":true,"compact":false,"age_group":false,"span":"all"},"date":"2025-09-10T09:33:08+02:00","bundle":"1757489575"} +week,indicator,inc,inc_low,inc_up,inc100,inc100_low,inc100_up,geo_insee,geo_name +202536,7,1121,118,2124,2,1,3,FR,France +202535,7,1236,177,2295,2,0,4,FR,France +202534,7,1438,48,2828,2,0,4,FR,France +202533,7,3579,692,6466,5,1,9,FR,France +202532,7,2384,0,4809,4,0,8,FR,France +202531,7,5703,0,13082,9,0,20,FR,France +202530,7,7102,3590,10614,11,6,16,FR,France +202529,7,6385,3384,9386,10,6,14,FR,France +202528,7,5584,3123,8045,8,4,12,FR,France +202527,7,5667,2850,8484,8,4,12,FR,France +202526,7,5872,3285,8459,9,5,13,FR,France +202525,7,5953,3698,8208,9,6,12,FR,France +202524,7,4580,2558,6602,7,4,10,FR,France +202523,7,4911,2663,7159,7,4,10,FR,France +202522,7,6837,3940,9734,10,6,14,FR,France +202521,7,4693,2653,6733,7,4,10,FR,France 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