diff --git a/module3/exo2/exercice.ipynb b/module3/exo2/exercice.ipynb index 0bbbe371b01e359e381e43239412d77bf53fb1fb..dadf92ed1e2cbe9dc1eea7655723f9cee628ae2b 100644 --- a/module3/exo2/exercice.ipynb +++ b/module3/exo2/exercice.ipynb @@ -1,5 +1,2309 @@ { - "cells": [], + "cells": [ + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + " %matplotlib inline\n", + "import matplotlib.pyplot as plt\n", + "import pandas as pd\n", + "import isoweek" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + " data_url = \"http://www.sentiweb.fr/datasets/incidence-PAY-7.csv\"" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + " data_csv = \"inc-7-PAY.csv\"\n", + "#check if the local file exists\n", + "import os\n", + "import urllib.request\n", + "if not os.path.exists(data_csv):\n", + " urllib.request.urlretrieve(data_url, data_csv)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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1802 rows × 10 columns

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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
020252474234185666126210FRFrance
120252374858262370937410FRFrance
2202522768373940973410614FRFrance
320252174693265367337410FRFrance
42025207308315354631537FRFrance
520251975084199781718313FRFrance
620251875003271872887410FRFrance
720251776246342490689513FRFrance
820251676151319391099513FRFrance
920251575557326278528511FRFrance
1020251474984285871107410FRFrance
1120251375964360883209513FRFrance
122025127385519955715639FRFrance
1320251175878274790099414FRFrance
142025107292114214421426FRFrance
152025097338114685294528FRFrance
162025087283512864384426FRFrance
1720250774502238266227410FRFrance
182025067345519584952537FRFrance
192025057208710563118315FRFrance
20202504768954466932410614FRFrance
212025037246211613763426FRFrance
2220250275966275791759414FRFrance
2320250176059245196679414FRFrance
2420245274356177669367311FRFrance
2520245174670223971017311FRFrance
262024507736344381028811715FRFrance
2720244976077363185239513FRFrance
2820244874189145469246210FRFrance
29202447719317263136315FRFrance
.................................
17721991267176081130423912312042FRFrance
17731991257161691070021638281838FRFrance
17741991247161711007122271281739FRFrance
1775199123711947767116223211329FRFrance
1776199122715452995320951271737FRFrance
1777199121714903897520831261636FRFrance
17781991207190531274225364342345FRFrance
17791991197167391124622232291939FRFrance
17801991187213851388228888382551FRFrance
1781199117713462887718047241632FRFrance
17821991167148571006819646261834FRFrance
1783199115713975978118169251832FRFrance
1784199114712265768416846221430FRFrance
178519911379567604113093171123FRFrance
1786199112710864733114397191325FRFrance
17871991117155741118419964271935FRFrance
17881991107166431137221914292038FRFrance
1789199109713741878018702241533FRFrance
1790199108713289881317765231531FRFrance
1791199107712337807716597221529FRFrance
1792199106710877701314741191226FRFrance
1793199105710442654414340181125FRFrance
17941991047791345631126314820FRFrance
17951991037153871048420290271836FRFrance
17961991027162771104621508292038FRFrance
17971991017155651027120859271836FRFrance
17981990527193751329525455342345FRFrance
17991990517190801380724353342543FRFrance
1800199050711079666015498201228FRFrance
18011990497114302610205FRFrance
\n", + "

1802 rows × 10 columns

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" + ], + "text/plain": [ + " week indicator inc inc_low inc_up inc100 inc100_low \\\n", + "0 202524 7 4234 1856 6612 6 2 \n", + "1 202523 7 4858 2623 7093 7 4 \n", + "2 202522 7 6837 3940 9734 10 6 \n", + "3 202521 7 4693 2653 6733 7 4 \n", + "4 202520 7 3083 1535 4631 5 3 \n", + "5 202519 7 5084 1997 8171 8 3 \n", + "6 202518 7 5003 2718 7288 7 4 \n", + "7 202517 7 6246 3424 9068 9 5 \n", + "8 202516 7 6151 3193 9109 9 5 \n", + "9 202515 7 5557 3262 7852 8 5 \n", + "10 202514 7 4984 2858 7110 7 4 \n", + "11 202513 7 5964 3608 8320 9 5 \n", + "12 202512 7 3855 1995 5715 6 3 \n", + "13 202511 7 5878 2747 9009 9 4 \n", + "14 202510 7 2921 1421 4421 4 2 \n", + "15 202509 7 3381 1468 5294 5 2 \n", + "16 202508 7 2835 1286 4384 4 2 \n", + "17 202507 7 4502 2382 6622 7 4 \n", + "18 202506 7 3455 1958 4952 5 3 \n", + "19 202505 7 2087 1056 3118 3 1 \n", + "20 202504 7 6895 4466 9324 10 6 \n", + "21 202503 7 2462 1161 3763 4 2 \n", + "22 202502 7 5966 2757 9175 9 4 \n", + "23 202501 7 6059 2451 9667 9 4 \n", + "24 202452 7 4356 1776 6936 7 3 \n", + "25 202451 7 4670 2239 7101 7 3 \n", + "26 202450 7 7363 4438 10288 11 7 \n", + "27 202449 7 6077 3631 8523 9 5 \n", + "28 202448 7 4189 1454 6924 6 2 \n", + "29 202447 7 1931 726 3136 3 1 \n", + "... ... ... ... ... ... ... ... \n", + "1772 199126 7 17608 11304 23912 31 20 \n", + "1773 199125 7 16169 10700 21638 28 18 \n", + "1774 199124 7 16171 10071 22271 28 17 \n", + "1775 199123 7 11947 7671 16223 21 13 \n", + "1776 199122 7 15452 9953 20951 27 17 \n", + "1777 199121 7 14903 8975 20831 26 16 \n", + "1778 199120 7 19053 12742 25364 34 23 \n", + "1779 199119 7 16739 11246 22232 29 19 \n", + "1780 199118 7 21385 13882 28888 38 25 \n", + "1781 199117 7 13462 8877 18047 24 16 \n", + "1782 199116 7 14857 10068 19646 26 18 \n", + "1783 199115 7 13975 9781 18169 25 18 \n", + "1784 199114 7 12265 7684 16846 22 14 \n", + "1785 199113 7 9567 6041 13093 17 11 \n", + "1786 199112 7 10864 7331 14397 19 13 \n", + "1787 199111 7 15574 11184 19964 27 19 \n", + "1788 199110 7 16643 11372 21914 29 20 \n", + "1789 199109 7 13741 8780 18702 24 15 \n", + "1790 199108 7 13289 8813 17765 23 15 \n", + "1791 199107 7 12337 8077 16597 22 15 \n", + "1792 199106 7 10877 7013 14741 19 12 \n", + "1793 199105 7 10442 6544 14340 18 11 \n", + "1794 199104 7 7913 4563 11263 14 8 \n", + "1795 199103 7 15387 10484 20290 27 18 \n", + "1796 199102 7 16277 11046 21508 29 20 \n", + "1797 199101 7 15565 10271 20859 27 18 \n", + "1798 199052 7 19375 13295 25455 34 23 \n", + "1799 199051 7 19080 13807 24353 34 25 \n", + "1800 199050 7 11079 6660 15498 20 12 \n", + "1801 199049 7 1143 0 2610 2 0 \n", + "\n", + " inc100_up geo_insee geo_name \n", + "0 10 FR France \n", + "1 10 FR France \n", + "2 14 FR France \n", + "3 10 FR France \n", + "4 7 FR France \n", + "5 13 FR France \n", + "6 10 FR France \n", + "7 13 FR France \n", + "8 13 FR France \n", + "9 11 FR France \n", + "10 10 FR France \n", + "11 13 FR France \n", + "12 9 FR France \n", + "13 14 FR France \n", + "14 6 FR France \n", + "15 8 FR France \n", + "16 6 FR France \n", + "17 10 FR France \n", + "18 7 FR France \n", + "19 5 FR France \n", + "20 14 FR France \n", + "21 6 FR France \n", + "22 14 FR France \n", + "23 14 FR France \n", + "24 11 FR France \n", + "25 11 FR France \n", + "26 15 FR France \n", + "27 13 FR France \n", + "28 10 FR France \n", + "29 5 FR France \n", + "... ... ... ... \n", + "1772 42 FR France \n", + "1773 38 FR France \n", + "1774 39 FR France \n", + "1775 29 FR France \n", + "1776 37 FR France \n", + "1777 36 FR France \n", + "1778 45 FR France \n", + "1779 39 FR France \n", + "1780 51 FR France \n", + "1781 32 FR France \n", + "1782 34 FR France \n", + "1783 32 FR France \n", + "1784 30 FR France \n", + "1785 23 FR France \n", + "1786 25 FR France \n", + "1787 35 FR France \n", + "1788 38 FR France \n", + "1789 33 FR France \n", + "1790 31 FR France \n", + "1791 29 FR France \n", + "1792 26 FR France \n", + "1793 25 FR France \n", + "1794 20 FR France \n", + "1795 36 FR France \n", + "1796 38 FR France \n", + "1797 36 FR France \n", + "1798 45 FR France \n", + "1799 43 FR France \n", + "1800 28 FR France \n", + "1801 5 FR France \n", + "\n", + "[1802 rows x 10 columns]" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data = raw_data.dropna().copy()\n", + "data" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "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": 13, + "metadata": {}, + "outputs": [], + "source": [ + "sorted_data = data.set_index('period').sort_index()" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "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": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "sorted_data['inc'] = pd.to_numeric(sorted_data['inc'], errors='coerce')\n", + "sorted_data['inc'].plot()" + ] + }, + { + "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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "sorted_data['inc'][-200:].plot()" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": {}, + "outputs": [], + "source": [ + "first_september_week = [pd.Period(pd.Timestamp(y, 9, 1), 'W')\n", + " for y in range(1990,\n", + " sorted_data.index[-1].year)]" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "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 or len(one_year) == 38\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": 56, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 56, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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https:\/\/www.sentiweb.fr","meta":{"period":[199049,202524],"geo":["PAY",0],"geo_ref":"insee","indicator":"7","type":"all","conf_int":true,"compact":false,"age_group":false,"span":"all"},"date":"2025-06-18T12:47:27+02:00","bundle":"1750243633"} +week,indicator,inc,inc_low,inc_up,inc100,inc100_low,inc100_up,geo_insee,geo_name +202524,7,4234,1856,6612,6,2,10,FR,France +202523,7,4858,2623,7093,7,4,10,FR,France +202522,7,6837,3940,9734,10,6,14,FR,France +202521,7,4693,2653,6733,7,4,10,FR,France +202520,7,3083,1535,4631,5,3,7,FR,France +202519,7,5084,1997,8171,8,3,13,FR,France +202518,7,5003,2718,7288,7,4,10,FR,France +202517,7,6246,3424,9068,9,5,13,FR,France +202516,7,6151,3193,9109,9,5,13,FR,France +202515,7,5557,3262,7852,8,5,11,FR,France +202514,7,4984,2858,7110,7,4,10,FR,France +202513,7,5964,3608,8320,9,5,13,FR,France +202512,7,3855,1995,5715,6,3,9,FR,France +202511,7,5878,2747,9009,9,4,14,FR,France +202510,7,2921,1421,4421,4,2,6,FR,France +202509,7,3381,1468,5294,5,2,8,FR,France 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