diff --git a/module3/exo2/exercice.ipynb b/module3/exo2/exercice.ipynb
index 0bbbe371b01e359e381e43239412d77bf53fb1fb..835ff3d9067fd5ca5a5b9ff37429c57d76cdbe22 100644
--- a/module3/exo2/exercice.ipynb
+++ b/module3/exo2/exercice.ipynb
@@ -1,5 +1,2291 @@
{
- "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?v=3z17t\""
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
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1707 rows × 10 columns
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+ " week indicator inc inc_low inc_up inc100 inc100_low \\\n",
+ "0 202333 7 3664 956 6372 6 2 \n",
+ "1 202332 7 8068 1178 14958 12 2 \n",
+ "2 202331 7 3318 1398 5238 5 2 \n",
+ "3 202330 7 5821 3269 8373 9 5 \n",
+ "4 202329 7 13558 8297 18819 20 12 \n",
+ "5 202328 7 6700 4043 9357 10 6 \n",
+ "6 202327 7 7253 4599 9907 11 7 \n",
+ "7 202326 7 9192 6223 12161 14 10 \n",
+ "8 202325 7 11498 8257 14739 17 12 \n",
+ "9 202324 7 11115 7968 14262 17 12 \n",
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+ "\n",
+ "[1707 rows x 10 columns]"
+ ]
+ },
+ "execution_count": 3,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "raw_data = pd.read_csv(data_url, encoding = 'iso-8859-1', skiprows=1)\n",
+ "raw_data"
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+ "execution_count": 4,
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\n",
+ " \n",
+ " 1693 | \n",
+ " 199110 | \n",
+ " 7 | \n",
+ " 16643 | \n",
+ " 11372 | \n",
+ " 21914 | \n",
+ " 29 | \n",
+ " 20 | \n",
+ " 38 | \n",
+ " FR | \n",
+ " France | \n",
+ "
\n",
+ " \n",
+ " 1694 | \n",
+ " 199109 | \n",
+ " 7 | \n",
+ " 13741 | \n",
+ " 8780 | \n",
+ " 18702 | \n",
+ " 24 | \n",
+ " 15 | \n",
+ " 33 | \n",
+ " FR | \n",
+ " France | \n",
+ "
\n",
+ " \n",
+ " 1695 | \n",
+ " 199108 | \n",
+ " 7 | \n",
+ " 13289 | \n",
+ " 8813 | \n",
+ " 17765 | \n",
+ " 23 | \n",
+ " 15 | \n",
+ " 31 | \n",
+ " FR | \n",
+ " France | \n",
+ "
\n",
+ " \n",
+ " 1696 | \n",
+ " 199107 | \n",
+ " 7 | \n",
+ " 12337 | \n",
+ " 8077 | \n",
+ " 16597 | \n",
+ " 22 | \n",
+ " 15 | \n",
+ " 29 | \n",
+ " FR | \n",
+ " France | \n",
+ "
\n",
+ " \n",
+ " 1697 | \n",
+ " 199106 | \n",
+ " 7 | \n",
+ " 10877 | \n",
+ " 7013 | \n",
+ " 14741 | \n",
+ " 19 | \n",
+ " 12 | \n",
+ " 26 | \n",
+ " FR | \n",
+ " France | \n",
+ "
\n",
+ " \n",
+ " 1698 | \n",
+ " 199105 | \n",
+ " 7 | \n",
+ " 10442 | \n",
+ " 6544 | \n",
+ " 14340 | \n",
+ " 18 | \n",
+ " 11 | \n",
+ " 25 | \n",
+ " FR | \n",
+ " France | \n",
+ "
\n",
+ " \n",
+ " 1699 | \n",
+ " 199104 | \n",
+ " 7 | \n",
+ " 7913 | \n",
+ " 4563 | \n",
+ " 11263 | \n",
+ " 14 | \n",
+ " 8 | \n",
+ " 20 | \n",
+ " FR | \n",
+ " France | \n",
+ "
\n",
+ " \n",
+ " 1700 | \n",
+ " 199103 | \n",
+ " 7 | \n",
+ " 15387 | \n",
+ " 10484 | \n",
+ " 20290 | \n",
+ " 27 | \n",
+ " 18 | \n",
+ " 36 | \n",
+ " FR | \n",
+ " France | \n",
+ "
\n",
+ " \n",
+ " 1701 | \n",
+ " 199102 | \n",
+ " 7 | \n",
+ " 16277 | \n",
+ " 11046 | \n",
+ " 21508 | \n",
+ " 29 | \n",
+ " 20 | \n",
+ " 38 | \n",
+ " FR | \n",
+ " France | \n",
+ "
\n",
+ " \n",
+ " 1702 | \n",
+ " 199101 | \n",
+ " 7 | \n",
+ " 15565 | \n",
+ " 10271 | \n",
+ " 20859 | \n",
+ " 27 | \n",
+ " 18 | \n",
+ " 36 | \n",
+ " FR | \n",
+ " France | \n",
+ "
\n",
+ " \n",
+ " 1703 | \n",
+ " 199052 | \n",
+ " 7 | \n",
+ " 19375 | \n",
+ " 13295 | \n",
+ " 25455 | \n",
+ " 34 | \n",
+ " 23 | \n",
+ " 45 | \n",
+ " FR | \n",
+ " France | \n",
+ "
\n",
+ " \n",
+ " 1704 | \n",
+ " 199051 | \n",
+ " 7 | \n",
+ " 19080 | \n",
+ " 13807 | \n",
+ " 24353 | \n",
+ " 34 | \n",
+ " 25 | \n",
+ " 43 | \n",
+ " FR | \n",
+ " France | \n",
+ "
\n",
+ " \n",
+ " 1705 | \n",
+ " 199050 | \n",
+ " 7 | \n",
+ " 11079 | \n",
+ " 6660 | \n",
+ " 15498 | \n",
+ " 20 | \n",
+ " 12 | \n",
+ " 28 | \n",
+ " FR | \n",
+ " France | \n",
+ "
\n",
+ " \n",
+ " 1706 | \n",
+ " 199049 | \n",
+ " 7 | \n",
+ " 1143 | \n",
+ " 0 | \n",
+ " 2610 | \n",
+ " 2 | \n",
+ " 0 | \n",
+ " 5 | \n",
+ " FR | \n",
+ " France | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
1707 rows × 10 columns
\n",
+ "
"
+ ],
+ "text/plain": [
+ " week indicator inc inc_low inc_up inc100 inc100_low \\\n",
+ "0 202333 7 3664 956 6372 6 2 \n",
+ "1 202332 7 8068 1178 14958 12 2 \n",
+ "2 202331 7 3318 1398 5238 5 2 \n",
+ "3 202330 7 5821 3269 8373 9 5 \n",
+ "4 202329 7 13558 8297 18819 20 12 \n",
+ "5 202328 7 6700 4043 9357 10 6 \n",
+ "6 202327 7 7253 4599 9907 11 7 \n",
+ "7 202326 7 9192 6223 12161 14 10 \n",
+ "8 202325 7 11498 8257 14739 17 12 \n",
+ "9 202324 7 11115 7968 14262 17 12 \n",
+ "10 202323 7 12563 6134 18992 19 9 \n",
+ "11 202322 7 12184 8125 16243 18 12 \n",
+ "12 202321 7 11349 7598 15100 17 11 \n",
+ "13 202320 7 9000 4615 13385 14 7 \n",
+ "14 202319 7 9344 6091 12597 14 9 \n",
+ "15 202318 7 10671 7291 14051 16 11 \n",
+ "16 202317 7 9184 6162 12206 14 9 \n",
+ "17 202316 7 11387 8014 14760 17 12 \n",
+ "18 202315 7 14040 7613 20467 21 11 \n",
+ "19 202314 7 15247 11032 19462 23 17 \n",
+ "20 202313 7 13322 9700 16944 20 15 \n",
+ "21 202312 7 10374 7218 13530 16 11 \n",
+ "22 202311 7 4919 2880 6958 7 4 \n",
+ "23 202310 7 4854 2731 6977 7 4 \n",
+ "24 202309 7 7004 4548 9460 11 7 \n",
+ "25 202308 7 8175 5316 11034 12 8 \n",
+ "26 202307 7 6595 3782 9408 10 6 \n",
+ "27 202306 7 9595 6017 13173 14 9 \n",
+ "28 202305 7 6237 3907 8567 9 5 \n",
+ "29 202304 7 6299 3973 8625 9 6 \n",
+ "... ... ... ... ... ... ... ... \n",
+ "1677 199126 7 17608 11304 23912 31 20 \n",
+ "1678 199125 7 16169 10700 21638 28 18 \n",
+ "1679 199124 7 16171 10071 22271 28 17 \n",
+ "1680 199123 7 11947 7671 16223 21 13 \n",
+ "1681 199122 7 15452 9953 20951 27 17 \n",
+ "1682 199121 7 14903 8975 20831 26 16 \n",
+ "1683 199120 7 19053 12742 25364 34 23 \n",
+ "1684 199119 7 16739 11246 22232 29 19 \n",
+ "1685 199118 7 21385 13882 28888 38 25 \n",
+ "1686 199117 7 13462 8877 18047 24 16 \n",
+ "1687 199116 7 14857 10068 19646 26 18 \n",
+ "1688 199115 7 13975 9781 18169 25 18 \n",
+ "1689 199114 7 12265 7684 16846 22 14 \n",
+ "1690 199113 7 9567 6041 13093 17 11 \n",
+ "1691 199112 7 10864 7331 14397 19 13 \n",
+ "1692 199111 7 15574 11184 19964 27 19 \n",
+ "1693 199110 7 16643 11372 21914 29 20 \n",
+ "1694 199109 7 13741 8780 18702 24 15 \n",
+ "1695 199108 7 13289 8813 17765 23 15 \n",
+ "1696 199107 7 12337 8077 16597 22 15 \n",
+ "1697 199106 7 10877 7013 14741 19 12 \n",
+ "1698 199105 7 10442 6544 14340 18 11 \n",
+ "1699 199104 7 7913 4563 11263 14 8 \n",
+ "1700 199103 7 15387 10484 20290 27 18 \n",
+ "1701 199102 7 16277 11046 21508 29 20 \n",
+ "1702 199101 7 15565 10271 20859 27 18 \n",
+ "1703 199052 7 19375 13295 25455 34 23 \n",
+ "1704 199051 7 19080 13807 24353 34 25 \n",
+ "1705 199050 7 11079 6660 15498 20 12 \n",
+ "1706 199049 7 1143 0 2610 2 0 \n",
+ "\n",
+ " inc100_up geo_insee geo_name \n",
+ "0 10 FR France \n",
+ "1 22 FR France \n",
+ "2 8 FR France \n",
+ "3 13 FR France \n",
+ "4 28 FR France \n",
+ "5 14 FR France \n",
+ "6 15 FR France \n",
+ "7 18 FR France \n",
+ "8 22 FR France \n",
+ "9 22 FR France \n",
+ "10 29 FR France \n",
+ "11 24 FR France \n",
+ "12 23 FR France \n",
+ "13 21 FR France \n",
+ "14 19 FR France \n",
+ "15 21 FR France \n",
+ "16 19 FR France \n",
+ "17 22 FR France \n",
+ "18 31 FR France \n",
+ "19 29 FR France \n",
+ "20 25 FR France \n",
+ "21 21 FR France \n",
+ "22 10 FR France \n",
+ "23 10 FR France \n",
+ "24 15 FR France \n",
+ "25 16 FR France \n",
+ "26 14 FR France \n",
+ "27 19 FR France \n",
+ "28 13 FR France \n",
+ "29 12 FR France \n",
+ "... ... ... ... \n",
+ "1677 42 FR France \n",
+ "1678 38 FR France \n",
+ "1679 39 FR France \n",
+ "1680 29 FR France \n",
+ "1681 37 FR France \n",
+ "1682 36 FR France \n",
+ "1683 45 FR France \n",
+ "1684 39 FR France \n",
+ "1685 51 FR France \n",
+ "1686 32 FR France \n",
+ "1687 34 FR France \n",
+ "1688 32 FR France \n",
+ "1689 30 FR France \n",
+ "1690 23 FR France \n",
+ "1691 25 FR France \n",
+ "1692 35 FR France \n",
+ "1693 38 FR France \n",
+ "1694 33 FR France \n",
+ "1695 31 FR France \n",
+ "1696 29 FR France \n",
+ "1697 26 FR France \n",
+ "1698 25 FR France \n",
+ "1699 20 FR France \n",
+ "1700 36 FR France \n",
+ "1701 38 FR France \n",
+ "1702 36 FR France \n",
+ "1703 45 FR France \n",
+ "1704 43 FR France \n",
+ "1705 28 FR France \n",
+ "1706 5 FR France \n",
+ "\n",
+ "[1707 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": 11,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 11,
+ "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": 12,
+ "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": 13,
+ "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": 14,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 14,
+ "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": 15,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "2020 221186\n",
+ "2021 376290\n",
+ "2002 516689\n",
+ "2018 542312\n",
+ "2017 551041\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": 15,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "yearly_incidence.sort_values()"
+ ]
+ },
+ {
+ "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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\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "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 +2302,9 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.6.3"
+ "version": "3.6.4"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
-