diff --git a/module3/exo2/exercice.ipynb b/module3/exo2/exercice.ipynb index 0bbbe371b01e359e381e43239412d77bf53fb1fb..01c0bb35c77236a8637aba701beb99ce3f113ca8 100644 --- a/module3/exo2/exercice.ipynb +++ b/module3/exo2/exercice.ipynb @@ -1,5 +1,2231 @@ { - "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_path = \"http://www.sentiweb.fr/datasets/incidence-PAY-7.csv\"" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "collapsed": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
0202352713369830918429201228FRFrance
1202351769404244963610614FRFrance
22023507879962151138313917FRFrance
32023497781753621027212816FRFrance
4202348773514749995311715FRFrance
5202347765374277879710713FRFrance
620234675223296874788511FRFrance
720234575007267573398412FRFrance
82023447368816645712639FRFrance
92023437389116756107639FRFrance
1020234273968121267246210FRFrance
112023417335617644948537FRFrance
122023407284514104280426FRFrance
13202339717396292849315FRFrance
14202338716632743052315FRFrance
15202337711222232021213FRFrance
162023367726101442102FRFrance
172023357961961826102FRFrance
182023347116892327204FRFrance
192023337330811845432528FRFrance
202023327799611201487212222FRFrance
212023317331813985238528FRFrance
2220233075821326983739513FRFrance
23202329713558829718819201228FRFrance
24202328767004043935710614FRFrance
25202327772534599990711715FRFrance
2620232679192622312161141018FRFrance
27202325711498825714739171222FRFrance
28202324711115796814262171222FRFrance
2920232371256361341899219929FRFrance
.................................
16961991267176081130423912312042FRFrance
16971991257161691070021638281838FRFrance
16981991247161711007122271281739FRFrance
1699199123711947767116223211329FRFrance
1700199122715452995320951271737FRFrance
1701199121714903897520831261636FRFrance
17021991207190531274225364342345FRFrance
17031991197167391124622232291939FRFrance
17041991187213851388228888382551FRFrance
1705199117713462887718047241632FRFrance
17061991167148571006819646261834FRFrance
1707199115713975978118169251832FRFrance
1708199114712265768416846221430FRFrance
170919911379567604113093171123FRFrance
1710199112710864733114397191325FRFrance
17111991117155741118419964271935FRFrance
17121991107166431137221914292038FRFrance
1713199109713741878018702241533FRFrance
1714199108713289881317765231531FRFrance
1715199107712337807716597221529FRFrance
1716199106710877701314741191226FRFrance
1717199105710442654414340181125FRFrance
17181991047791345631126314820FRFrance
17191991037153871048420290271836FRFrance
17201991027162771104621508292038FRFrance
17211991017155651027120859271836FRFrance
17221990527193751329525455342345FRFrance
17231990517190801380724353342543FRFrance
1724199050711079666015498201228FRFrance
17251990497114302610205FRFrance
\n", + "

1726 rows × 10 columns

\n", + "
" + ], + "text/plain": [ + " week indicator inc inc_low inc_up inc100 inc100_low \\\n", + "0 202352 7 13369 8309 18429 20 12 \n", + "1 202351 7 6940 4244 9636 10 6 \n", + "2 202350 7 8799 6215 11383 13 9 \n", + "3 202349 7 7817 5362 10272 12 8 \n", + "4 202348 7 7351 4749 9953 11 7 \n", + "5 202347 7 6537 4277 8797 10 7 \n", + "6 202346 7 5223 2968 7478 8 5 \n", + "7 202345 7 5007 2675 7339 8 4 \n", + "8 202344 7 3688 1664 5712 6 3 \n", + "9 202343 7 3891 1675 6107 6 3 \n", + "10 202342 7 3968 1212 6724 6 2 \n", + "11 202341 7 3356 1764 4948 5 3 \n", + "12 202340 7 2845 1410 4280 4 2 \n", + "13 202339 7 1739 629 2849 3 1 \n", + "14 202338 7 1663 274 3052 3 1 \n", + "15 202337 7 1122 223 2021 2 1 \n", + "16 202336 7 726 10 1442 1 0 \n", + "17 202335 7 961 96 1826 1 0 \n", + "18 202334 7 1168 9 2327 2 0 \n", + "19 202333 7 3308 1184 5432 5 2 \n", + "20 202332 7 7996 1120 14872 12 2 \n", + "21 202331 7 3318 1398 5238 5 2 \n", + "22 202330 7 5821 3269 8373 9 5 \n", + "23 202329 7 13558 8297 18819 20 12 \n", + "24 202328 7 6700 4043 9357 10 6 \n", + "25 202327 7 7253 4599 9907 11 7 \n", + "26 202326 7 9192 6223 12161 14 10 \n", + "27 202325 7 11498 8257 14739 17 12 \n", + "28 202324 7 11115 7968 14262 17 12 \n", + "29 202323 7 12563 6134 18992 19 9 \n", + "... ... ... ... ... ... ... ... \n", + "1696 199126 7 17608 11304 23912 31 20 \n", + "1697 199125 7 16169 10700 21638 28 18 \n", + "1698 199124 7 16171 10071 22271 28 17 \n", + "1699 199123 7 11947 7671 16223 21 13 \n", + "1700 199122 7 15452 9953 20951 27 17 \n", + "1701 199121 7 14903 8975 20831 26 16 \n", + "1702 199120 7 19053 12742 25364 34 23 \n", + "1703 199119 7 16739 11246 22232 29 19 \n", + "1704 199118 7 21385 13882 28888 38 25 \n", + "1705 199117 7 13462 8877 18047 24 16 \n", + "1706 199116 7 14857 10068 19646 26 18 \n", + "1707 199115 7 13975 9781 18169 25 18 \n", + "1708 199114 7 12265 7684 16846 22 14 \n", + "1709 199113 7 9567 6041 13093 17 11 \n", + "1710 199112 7 10864 7331 14397 19 13 \n", + "1711 199111 7 15574 11184 19964 27 19 \n", + "1712 199110 7 16643 11372 21914 29 20 \n", + "1713 199109 7 13741 8780 18702 24 15 \n", + "1714 199108 7 13289 8813 17765 23 15 \n", + "1715 199107 7 12337 8077 16597 22 15 \n", + "1716 199106 7 10877 7013 14741 19 12 \n", + "1717 199105 7 10442 6544 14340 18 11 \n", + "1718 199104 7 7913 4563 11263 14 8 \n", + "1719 199103 7 15387 10484 20290 27 18 \n", + "1720 199102 7 16277 11046 21508 29 20 \n", + "1721 199101 7 15565 10271 20859 27 18 \n", + "1722 199052 7 19375 13295 25455 34 23 \n", + "1723 199051 7 19080 13807 24353 34 25 \n", + "1724 199050 7 11079 6660 15498 20 12 \n", + "1725 199049 7 1143 0 2610 2 0 \n", + "\n", + " inc100_up geo_insee geo_name \n", + "0 28 FR France \n", + "1 14 FR France \n", + "2 17 FR France \n", + "3 16 FR France \n", + "4 15 FR France \n", + "5 13 FR France \n", + "6 11 FR France \n", + "7 12 FR France \n", + "8 9 FR France \n", + "9 9 FR France \n", + "10 10 FR France \n", + "11 7 FR France \n", + "12 6 FR France \n", + "13 5 FR France \n", + "14 5 FR France \n", + "15 3 FR France \n", + "16 2 FR France \n", + "17 2 FR France \n", + "18 4 FR France \n", + "19 8 FR France \n", + "20 22 FR France \n", + "21 8 FR France \n", + "22 13 FR France \n", + "23 28 FR France \n", + "24 14 FR France \n", + "25 15 FR France \n", + "26 18 FR France \n", + "27 22 FR France \n", + "28 22 FR France \n", + "29 29 FR France \n", + "... ... ... ... \n", + "1696 42 FR France \n", + "1697 38 FR France \n", + "1698 39 FR France \n", + "1699 29 FR France \n", + "1700 37 FR France \n", + "1701 36 FR France \n", + "1702 45 FR France \n", + "1703 39 FR France \n", + "1704 51 FR France \n", + "1705 32 FR France \n", + "1706 34 FR France \n", + "1707 32 FR France \n", + "1708 30 FR France \n", + "1709 23 FR France \n", + "1710 25 FR France \n", + "1711 35 FR France \n", + "1712 38 FR France \n", + "1713 33 FR France \n", + "1714 31 FR France \n", + "1715 29 FR France \n", + "1716 26 FR France \n", + "1717 25 FR France \n", + "1718 20 FR France \n", + "1719 36 FR France \n", + "1720 38 FR France \n", + "1721 36 FR France \n", + "1722 45 FR France \n", + "1723 43 FR France \n", + "1724 28 FR France \n", + "1725 5 FR France \n", + "\n", + "[1726 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "sorted_data['inc'].plot()" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "first_september_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": 14, + "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": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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