diff --git a/module3/exo2/Exercice 03-2 Epidemie de la varicelle.ipynb b/module3/exo2/Exercice 03-2 Epidemie de la varicelle.ipynb new file mode 100644 index 0000000000000000000000000000000000000000..f30c76866171ca68c7f504fb5edc6bc1be12b807 --- /dev/null +++ b/module3/exo2/Exercice 03-2 Epidemie de la varicelle.ipynb @@ -0,0 +1,2335 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Incidence Varicelle" + ] + }, + { + "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=\"https://www.sentiweb.fr/datasets/incidence-PAY-7.csv\"\n", + "data_file = \"incidence-PAY_7.csv\"" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "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": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
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272021077135611031516807211626FRFrance
28202106713401981016992201525FRFrance
29202105712210898815432181323FRFrance
.................................
15741991267176081130423912312042FRFrance
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15801991207190531274225364342345FRFrance
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16031990497114302610205FRFrance
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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
0202134717192983140315FRFrance
12021337391418705958639FRFrance
22021327410818956321639FRFrance
320213174793230172857311FRFrance
42021307719041911018911616FRFrance
5202129768004109949110614FRFrance
62021287973402173115033FRFrance
72021277902643161373614721FRFrance
82021267728441081046011616FRFrance
920212579351654012162141018FRFrance
10202124712034893715131181323FRFrance
1120212379116642011812141018FRFrance
1220212274817275268827410FRFrance
1320212176092345887269513FRFrance
142021207748546011036911715FRFrance
15202119766544370893810713FRFrance
162021187391221105714639FRFrance
1720211774686287864947410FRFrance
1820211674780289166697410FRFrance
19202115711215762714803171222FRFrance
20202114711197799414400171222FRFrance
2120211379714628913139151020FRFrance
22202112711520841514625171222FRFrance
2320211179386667812094141018FRFrance
2420211079056645211660141018FRFrance
25202109710988793814038171222FRFrance
26202108711281836114201171321FRFrance
272021077135611031516807211626FRFrance
28202106713401981016992201525FRFrance
29202105712210898815432181323FRFrance
.................................
15741991267176081130423912312042FRFrance
15751991257161691070021638281838FRFrance
15761991247161711007122271281739FRFrance
1577199123711947767116223211329FRFrance
1578199122715452995320951271737FRFrance
1579199121714903897520831261636FRFrance
15801991207190531274225364342345FRFrance
15811991197167391124622232291939FRFrance
15821991187213851388228888382551FRFrance
1583199117713462887718047241632FRFrance
15841991167148571006819646261834FRFrance
1585199115713975978118169251832FRFrance
1586199114712265768416846221430FRFrance
158719911379567604113093171123FRFrance
1588199112710864733114397191325FRFrance
15891991117155741118419964271935FRFrance
15901991107166431137221914292038FRFrance
1591199109713741878018702241533FRFrance
1592199108713289881317765231531FRFrance
1593199107712337807716597221529FRFrance
1594199106710877701314741191226FRFrance
1595199105710442654414340181125FRFrance
15961991047791345631126314820FRFrance
15971991037153871048420290271836FRFrance
15981991027162771104621508292038FRFrance
15991991017155651027120859271836FRFrance
16001990527193751329525455342345FRFrance
16011990517190801380724353342543FRFrance
1602199050711079666015498201228FRFrance
16031990497114302610205FRFrance
\n", + "

1604 rows × 10 columns

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" + ], + "text/plain": [ + " week indicator inc inc_low inc_up inc100 inc100_low \\\n", + "0 202134 7 1719 298 3140 3 1 \n", + "1 202133 7 3914 1870 5958 6 3 \n", + "2 202132 7 4108 1895 6321 6 3 \n", + "3 202131 7 4793 2301 7285 7 3 \n", + "4 202130 7 7190 4191 10189 11 6 \n", + "5 202129 7 6800 4109 9491 10 6 \n", + "6 202128 7 9734 0 21731 15 0 \n", + "7 202127 7 9026 4316 13736 14 7 \n", + "8 202126 7 7284 4108 10460 11 6 \n", + "9 202125 7 9351 6540 12162 14 10 \n", + "10 202124 7 12034 8937 15131 18 13 \n", + "11 202123 7 9116 6420 11812 14 10 \n", + "12 202122 7 4817 2752 6882 7 4 \n", + "13 202121 7 6092 3458 8726 9 5 \n", + "14 202120 7 7485 4601 10369 11 7 \n", + "15 202119 7 6654 4370 8938 10 7 \n", + "16 202118 7 3912 2110 5714 6 3 \n", + "17 202117 7 4686 2878 6494 7 4 \n", + "18 202116 7 4780 2891 6669 7 4 \n", + "19 202115 7 11215 7627 14803 17 12 \n", + "20 202114 7 11197 7994 14400 17 12 \n", + "21 202113 7 9714 6289 13139 15 10 \n", + "22 202112 7 11520 8415 14625 17 12 \n", + "23 202111 7 9386 6678 12094 14 10 \n", + "24 202110 7 9056 6452 11660 14 10 \n", + "25 202109 7 10988 7938 14038 17 12 \n", + "26 202108 7 11281 8361 14201 17 13 \n", + "27 202107 7 13561 10315 16807 21 16 \n", + "28 202106 7 13401 9810 16992 20 15 \n", + "29 202105 7 12210 8988 15432 18 13 \n", + "... ... ... ... ... ... ... ... \n", + "1574 199126 7 17608 11304 23912 31 20 \n", + "1575 199125 7 16169 10700 21638 28 18 \n", + "1576 199124 7 16171 10071 22271 28 17 \n", + "1577 199123 7 11947 7671 16223 21 13 \n", + "1578 199122 7 15452 9953 20951 27 17 \n", + "1579 199121 7 14903 8975 20831 26 16 \n", + "1580 199120 7 19053 12742 25364 34 23 \n", + "1581 199119 7 16739 11246 22232 29 19 \n", + "1582 199118 7 21385 13882 28888 38 25 \n", + "1583 199117 7 13462 8877 18047 24 16 \n", + "1584 199116 7 14857 10068 19646 26 18 \n", + "1585 199115 7 13975 9781 18169 25 18 \n", + "1586 199114 7 12265 7684 16846 22 14 \n", + "1587 199113 7 9567 6041 13093 17 11 \n", + "1588 199112 7 10864 7331 14397 19 13 \n", + "1589 199111 7 15574 11184 19964 27 19 \n", + "1590 199110 7 16643 11372 21914 29 20 \n", + "1591 199109 7 13741 8780 18702 24 15 \n", + "1592 199108 7 13289 8813 17765 23 15 \n", + "1593 199107 7 12337 8077 16597 22 15 \n", + "1594 199106 7 10877 7013 14741 19 12 \n", + "1595 199105 7 10442 6544 14340 18 11 \n", + "1596 199104 7 7913 4563 11263 14 8 \n", + "1597 199103 7 15387 10484 20290 27 18 \n", + "1598 199102 7 16277 11046 21508 29 20 \n", + "1599 199101 7 15565 10271 20859 27 18 \n", + "1600 199052 7 19375 13295 25455 34 23 \n", + "1601 199051 7 19080 13807 24353 34 25 \n", + "1602 199050 7 11079 6660 15498 20 12 \n", + "1603 199049 7 1143 0 2610 2 0 \n", + "\n", + " inc100_up geo_insee geo_name \n", + "0 5 FR France \n", + "1 9 FR France \n", + "2 9 FR France \n", + "3 11 FR France \n", + "4 16 FR France \n", + "5 14 FR France \n", + "6 33 FR France \n", + "7 21 FR France \n", + "8 16 FR France \n", + "9 18 FR France \n", + "10 23 FR France \n", + "11 18 FR France \n", + "12 10 FR France \n", + "13 13 FR France \n", + "14 15 FR France \n", + "15 13 FR France \n", + "16 9 FR France \n", + "17 10 FR France \n", + "18 10 FR France \n", + "19 22 FR France \n", + "20 22 FR France \n", + "21 20 FR France \n", + "22 22 FR France \n", + "23 18 FR France \n", + "24 18 FR France \n", + "25 22 FR France \n", + "26 21 FR France \n", + "27 26 FR France \n", + "28 25 FR France \n", + "29 23 FR France \n", + "... ... ... ... \n", + "1574 42 FR France \n", + "1575 38 FR France \n", + "1576 39 FR France \n", + "1577 29 FR France \n", + "1578 37 FR France \n", + "1579 36 FR France \n", + "1580 45 FR France \n", + "1581 39 FR France \n", + "1582 51 FR France \n", + "1583 32 FR France \n", + "1584 34 FR France \n", + "1585 32 FR France \n", + "1586 30 FR France \n", + "1587 23 FR France \n", + "1588 25 FR France \n", + "1589 35 FR France \n", + "1590 38 FR France \n", + "1591 33 FR France \n", + "1592 31 FR France \n", + "1593 29 FR France \n", + "1594 26 FR France \n", + "1595 25 FR France \n", + "1596 20 FR France \n", + "1597 36 FR France \n", + "1598 38 FR France \n", + "1599 36 FR France \n", + "1600 45 FR France \n", + "1601 43 FR France \n", + "1602 28 FR France \n", + "1603 5 FR France \n", + "\n", + "[1604 rows x 10 columns]" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data = raw_data.dropna().copy()\n", + "data" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "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": 8, + "metadata": {}, + "outputs": [], + "source": [ + "sorted_data = data.set_index('period').sort_index()" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "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": 10, + "metadata": {}, + "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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "sorted_data['inc'][-400:-200].plot()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Etude de l'incidence annuelle" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "first_sept_week = [pd.Period(pd.Timestamp(y, 9, 1), 'W')\n", + " for y in range(1991,\n", + " sorted_data.index[-1].year)]" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "year = []\n", + "yearly_incidence = []\n", + "for week1, week2 in zip(first_sept_week[:-1],\n", + " first_sept_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": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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}, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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"display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.6.3" - } - }, - "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..44f589b7607a47e9ee4c03ad48f1cd82528a08b1 --- /dev/null +++ b/module3/exo2/incidence-PAY-7.csv @@ -0,0 +1,1606 @@ +# @source="réseau Sentinelles, INSERM, Sorbonne Université, http://www.sentiweb.fr", @meta={"period":[199049,202134],"geo":["PAY","1"],"geo_ref":"insee","indicator":"7","type":"all","conf_int":true,"compact":false}, @date=2021-09-02T16:20:32+02:00 +week,indicator,inc,inc_low,inc_up,inc100,inc100_low,inc100_up,geo_insee,geo_name 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