diff --git a/module3/exo2/exercice.ipynb b/module3/exo2/exercice.ipynb index 0bbbe371b01e359e381e43239412d77bf53fb1fb..7c48e7b6a3458b73c363192f56915c074d10c12c 100644 --- a/module3/exo2/exercice.ipynb +++ b/module3/exo2/exercice.ipynb @@ -1,5 +1,2308 @@ { - "cells": [], + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Analyse de l'incidence de la varicelle" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "%matplotlib inline\n", + "import matplotlib.pyplot as plt\n", + "import pandas as pd\n", + "import isoweek" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "data_url = \"http://www.sentiweb.fr/datasets/incidence-PAY-7.csv\"" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
02020427299312834703528FRFrance
12020417397421065842639FRFrance
2202040720786753481315FRFrance
3202039710492371861213FRFrance
4202038722537823724315FRFrance
5202037715844052763204FRFrance
620203679191001738102FRFrance
7202035782801694102FRFrance
8202034722723714173306FRFrance
9202033712841772391204FRFrance
10202032726506894611417FRFrance
11202031713031002506204FRFrance
1220203071385752695204FRFrance
132020297841101672102FRFrance
14202028772801515102FRFrance
1520202779861491823102FRFrance
16202026769401454102FRFrance
1720202572280597001FRFrance
1820202473880959102FRFrance
19202023755811115102FRFrance
2020202272770633001FRFrance
212020217602361168102FRFrance
222020207824201628102FRFrance
2320201973100753001FRFrance
242020187849981600102FRFrance
2520201772720658001FRFrance
262020167758781438102FRFrance
27202015719186753161315FRFrance
282020147387922275531639FRFrance
29202013773265236941611814FRFrance
.................................
15291991267176081130423912312042FRFrance
15301991257161691070021638281838FRFrance
15311991247161711007122271281739FRFrance
1532199123711947767116223211329FRFrance
1533199122715452995320951271737FRFrance
1534199121714903897520831261636FRFrance
15351991207190531274225364342345FRFrance
15361991197167391124622232291939FRFrance
15371991187213851388228888382551FRFrance
1538199117713462887718047241632FRFrance
15391991167148571006819646261834FRFrance
1540199115713975978118169251832FRFrance
1541199114712265768416846221430FRFrance
154219911379567604113093171123FRFrance
1543199112710864733114397191325FRFrance
15441991117155741118419964271935FRFrance
15451991107166431137221914292038FRFrance
1546199109713741878018702241533FRFrance
1547199108713289881317765231531FRFrance
1548199107712337807716597221529FRFrance
1549199106710877701314741191226FRFrance
1550199105710442654414340181125FRFrance
15511991047791345631126314820FRFrance
15521991037153871048420290271836FRFrance
15531991027162771104621508292038FRFrance
15541991017155651027120859271836FRFrance
15551990527193751329525455342345FRFrance
15561990517190801380724353342543FRFrance
1557199050711079666015498201228FRFrance
15581990497114302610205FRFrance
\n", + "

1559 rows × 10 columns

\n", + "
" + ], + "text/plain": [ + " week indicator inc inc_low inc_up inc100 inc100_low \\\n", + "0 202042 7 2993 1283 4703 5 2 \n", + "1 202041 7 3974 2106 5842 6 3 \n", + "2 202040 7 2078 675 3481 3 1 \n", + "3 202039 7 1049 237 1861 2 1 \n", + "4 202038 7 2253 782 3724 3 1 \n", + "5 202037 7 1584 405 2763 2 0 \n", + "6 202036 7 919 100 1738 1 0 \n", + "7 202035 7 828 0 1694 1 0 \n", + "8 202034 7 2272 371 4173 3 0 \n", + "9 202033 7 1284 177 2391 2 0 \n", + "10 202032 7 2650 689 4611 4 1 \n", + "11 202031 7 1303 100 2506 2 0 \n", + "12 202030 7 1385 75 2695 2 0 \n", + "13 202029 7 841 10 1672 1 0 \n", + "14 202028 7 728 0 1515 1 0 \n", + "15 202027 7 986 149 1823 1 0 \n", + "16 202026 7 694 0 1454 1 0 \n", + "17 202025 7 228 0 597 0 0 \n", + "18 202024 7 388 0 959 1 0 \n", + "19 202023 7 558 1 1115 1 0 \n", + "20 202022 7 277 0 633 0 0 \n", + "21 202021 7 602 36 1168 1 0 \n", + "22 202020 7 824 20 1628 1 0 \n", + "23 202019 7 310 0 753 0 0 \n", + "24 202018 7 849 98 1600 1 0 \n", + "25 202017 7 272 0 658 0 0 \n", + "26 202016 7 758 78 1438 1 0 \n", + "27 202015 7 1918 675 3161 3 1 \n", + "28 202014 7 3879 2227 5531 6 3 \n", + "29 202013 7 7326 5236 9416 11 8 \n", + "... ... ... ... ... ... ... ... \n", + "1529 199126 7 17608 11304 23912 31 20 \n", + "1530 199125 7 16169 10700 21638 28 18 \n", + "1531 199124 7 16171 10071 22271 28 17 \n", + "1532 199123 7 11947 7671 16223 21 13 \n", + "1533 199122 7 15452 9953 20951 27 17 \n", + "1534 199121 7 14903 8975 20831 26 16 \n", + "1535 199120 7 19053 12742 25364 34 23 \n", + "1536 199119 7 16739 11246 22232 29 19 \n", + "1537 199118 7 21385 13882 28888 38 25 \n", + "1538 199117 7 13462 8877 18047 24 16 \n", + "1539 199116 7 14857 10068 19646 26 18 \n", + "1540 199115 7 13975 9781 18169 25 18 \n", + "1541 199114 7 12265 7684 16846 22 14 \n", + "1542 199113 7 9567 6041 13093 17 11 \n", + "1543 199112 7 10864 7331 14397 19 13 \n", + "1544 199111 7 15574 11184 19964 27 19 \n", + "1545 199110 7 16643 11372 21914 29 20 \n", + "1546 199109 7 13741 8780 18702 24 15 \n", + "1547 199108 7 13289 8813 17765 23 15 \n", + "1548 199107 7 12337 8077 16597 22 15 \n", + "1549 199106 7 10877 7013 14741 19 12 \n", + "1550 199105 7 10442 6544 14340 18 11 \n", + "1551 199104 7 7913 4563 11263 14 8 \n", + "1552 199103 7 15387 10484 20290 27 18 \n", + "1553 199102 7 16277 11046 21508 29 20 \n", + "1554 199101 7 15565 10271 20859 27 18 \n", + "1555 199052 7 19375 13295 25455 34 23 \n", + "1556 199051 7 19080 13807 24353 34 25 \n", + "1557 199050 7 11079 6660 15498 20 12 \n", + "1558 199049 7 1143 0 2610 2 0 \n", + "\n", + " inc100_up geo_insee geo_name \n", + "0 8 FR France \n", + "1 9 FR France \n", + "2 5 FR France \n", + "3 3 FR France \n", + "4 5 FR France \n", + "5 4 FR France \n", + "6 2 FR France \n", + "7 2 FR France \n", + "8 6 FR France \n", + "9 4 FR France \n", + "10 7 FR France \n", + "11 4 FR France \n", + "12 4 FR France \n", + "13 2 FR France \n", + "14 2 FR France \n", + "15 2 FR France \n", + "16 2 FR France \n", + "17 1 FR France \n", + "18 2 FR France \n", + "19 2 FR France \n", + "20 1 FR France \n", + "21 2 FR France \n", + "22 2 FR France \n", + "23 1 FR France \n", + "24 2 FR France \n", + "25 1 FR France \n", + "26 2 FR France \n", + "27 5 FR France \n", + "28 9 FR France \n", + "29 14 FR France \n", + "... ... ... ... \n", + "1529 42 FR France \n", + "1530 38 FR France \n", + "1531 39 FR France \n", + "1532 29 FR France \n", + "1533 37 FR France \n", + "1534 36 FR France \n", + "1535 45 FR France \n", + "1536 39 FR France \n", + "1537 51 FR France \n", + "1538 32 FR France \n", + "1539 34 FR France \n", + "1540 32 FR France \n", + "1541 30 FR France \n", + "1542 23 FR France \n", + "1543 25 FR France \n", + "1544 35 FR France \n", + "1545 38 FR France \n", + "1546 33 FR France \n", + "1547 31 FR France \n", + "1548 29 FR France \n", + "1549 26 FR France \n", + "1550 25 FR France \n", + "1551 20 FR France \n", + "1552 36 FR France \n", + "1553 38 FR France \n", + "1554 36 FR France \n", + "1555 45 FR France \n", + "1556 43 FR France \n", + "1557 28 FR France \n", + "1558 5 FR France \n", + "\n", + "[1559 rows x 10 columns]" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data = raw_data.dropna().copy()\n", + "data" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "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": 17, + "metadata": {}, + "outputs": [], + "source": [ + "sorted_data = data.set_index('period').sort_index()" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "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": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 19, + "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": "markdown", + "metadata": {}, + "source": [ + "# Etude de l'incidence annuelle" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [], + "source": [ + "first_august_week = [pd.Period(pd.Timestamp(y, 8, 1), 'W')\n", + " for y in range(1985,\n", + " sorted_data.index[-1].year)]" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [], + "source": [ + "year = []\n", + "yearly_incidence = []\n", + "for week1, week2 in zip(first_august_week[:-1],\n", + " first_august_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": 29, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
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"execute_result" + } + ], + "source": [ + "yearly_incidence.sort_values()" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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