diff --git a/module3/exo2/exercice.ipynb b/module3/exo2/exercice.ipynb index 0bbbe371b01e359e381e43239412d77bf53fb1fb..6f2b0fd83f98f137e1ba75f15782c2e7a00c96d1 100644 --- a/module3/exo2/exercice.ipynb +++ b/module3/exo2/exercice.ipynb @@ -1,5 +1,2290 @@ { - "cells": [], + "cells": [ + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [], + "source": [ + "%matplotlib inline\n", + "import matplotlib.pyplot as plt\n", + "import pandas as pd\n", + "import isoweek\n", + "import os.path\n", + "import requests\n" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [], + "source": [ + "data_url = \"http://www.sentiweb.fr/datasets/incidence-PAY-7.csv\"\n", + "\n", + "\n", + "if not os.path.isfile('./incidence-PAY-7.csv') :\n", + " r = requests.get(data_url, allow_redirects=True)\n", + " open('incidence-PAY-7.csv', 'wb').write(r.content)\n", + "\n", + "data_url ='./incidence-PAY-7.csv'" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
0202036774001533102FRFrance
1202035782801694102FRFrance
2202034722723714173306FRFrance
3202033712841772391204FRFrance
4202032726506894611417FRFrance
5202031713031002506204FRFrance
620203071385752695204FRFrance
72020297841101672102FRFrance
8202028772801515102FRFrance
920202779861491823102FRFrance
10202026769401454102FRFrance
1120202572280597001FRFrance
1220202473880959102FRFrance
13202023755811115102FRFrance
1420202272770633001FRFrance
152020217602361168102FRFrance
162020207824201628102FRFrance
1720201973100753001FRFrance
182020187849981600102FRFrance
1920201772720658001FRFrance
202020167758781438102FRFrance
21202015719186753161315FRFrance
222020147387922275531639FRFrance
23202013773265236941611814FRFrance
242020127812357901045612816FRFrance
25202011710198756812828151119FRFrance
2620201079011669111331141018FRFrance
272020097136311054416718211626FRFrance
28202008710424770813140161220FRFrance
2920200778959657411344141018FRFrance
.................................
15231991267176081130423912312042FRFrance
15241991257161691070021638281838FRFrance
15251991247161711007122271281739FRFrance
1526199123711947767116223211329FRFrance
1527199122715452995320951271737FRFrance
1528199121714903897520831261636FRFrance
15291991207190531274225364342345FRFrance
15301991197167391124622232291939FRFrance
15311991187213851388228888382551FRFrance
1532199117713462887718047241632FRFrance
15331991167148571006819646261834FRFrance
1534199115713975978118169251832FRFrance
1535199114712265768416846221430FRFrance
153619911379567604113093171123FRFrance
1537199112710864733114397191325FRFrance
15381991117155741118419964271935FRFrance
15391991107166431137221914292038FRFrance
1540199109713741878018702241533FRFrance
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1543199106710877701314741191226FRFrance
1544199105710442654414340181125FRFrance
15451991047791345631126314820FRFrance
15461991037153871048420290271836FRFrance
15471991027162771104621508292038FRFrance
15481991017155651027120859271836FRFrance
15491990527193751329525455342345FRFrance
15501990517190801380724353342543FRFrance
1551199050711079666015498201228FRFrance
15521990497114302610205FRFrance
\n", + "

1553 rows × 10 columns

\n", + "
" + ], + "text/plain": [ + " week indicator inc inc_low inc_up inc100 inc100_low \\\n", + "0 202036 7 740 0 1533 1 0 \n", + "1 202035 7 828 0 1694 1 0 \n", + "2 202034 7 2272 371 4173 3 0 \n", + "3 202033 7 1284 177 2391 2 0 \n", + "4 202032 7 2650 689 4611 4 1 \n", + "5 202031 7 1303 100 2506 2 0 \n", + "6 202030 7 1385 75 2695 2 0 \n", + "7 202029 7 841 10 1672 1 0 \n", + "8 202028 7 728 0 1515 1 0 \n", + "9 202027 7 986 149 1823 1 0 \n", + "10 202026 7 694 0 1454 1 0 \n", + "11 202025 7 228 0 597 0 0 \n", + "12 202024 7 388 0 959 1 0 \n", + "13 202023 7 558 1 1115 1 0 \n", + "14 202022 7 277 0 633 0 0 \n", + "15 202021 7 602 36 1168 1 0 \n", + "16 202020 7 824 20 1628 1 0 \n", + "17 202019 7 310 0 753 0 0 \n", + "18 202018 7 849 98 1600 1 0 \n", + "19 202017 7 272 0 658 0 0 \n", + "20 202016 7 758 78 1438 1 0 \n", + "21 202015 7 1918 675 3161 3 1 \n", + "22 202014 7 3879 2227 5531 6 3 \n", + "23 202013 7 7326 5236 9416 11 8 \n", + "24 202012 7 8123 5790 10456 12 8 \n", + "25 202011 7 10198 7568 12828 15 11 \n", + "26 202010 7 9011 6691 11331 14 10 \n", + "27 202009 7 13631 10544 16718 21 16 \n", + "28 202008 7 10424 7708 13140 16 12 \n", + "29 202007 7 8959 6574 11344 14 10 \n", + "... ... ... ... ... ... ... ... \n", + "1523 199126 7 17608 11304 23912 31 20 \n", + "1524 199125 7 16169 10700 21638 28 18 \n", + "1525 199124 7 16171 10071 22271 28 17 \n", + "1526 199123 7 11947 7671 16223 21 13 \n", + "1527 199122 7 15452 9953 20951 27 17 \n", + "1528 199121 7 14903 8975 20831 26 16 \n", + "1529 199120 7 19053 12742 25364 34 23 \n", + "1530 199119 7 16739 11246 22232 29 19 \n", + "1531 199118 7 21385 13882 28888 38 25 \n", + "1532 199117 7 13462 8877 18047 24 16 \n", + "1533 199116 7 14857 10068 19646 26 18 \n", + "1534 199115 7 13975 9781 18169 25 18 \n", + "1535 199114 7 12265 7684 16846 22 14 \n", + "1536 199113 7 9567 6041 13093 17 11 \n", + "1537 199112 7 10864 7331 14397 19 13 \n", + "1538 199111 7 15574 11184 19964 27 19 \n", + "1539 199110 7 16643 11372 21914 29 20 \n", + "1540 199109 7 13741 8780 18702 24 15 \n", + "1541 199108 7 13289 8813 17765 23 15 \n", + "1542 199107 7 12337 8077 16597 22 15 \n", + "1543 199106 7 10877 7013 14741 19 12 \n", + "1544 199105 7 10442 6544 14340 18 11 \n", + "1545 199104 7 7913 4563 11263 14 8 \n", + "1546 199103 7 15387 10484 20290 27 18 \n", + "1547 199102 7 16277 11046 21508 29 20 \n", + "1548 199101 7 15565 10271 20859 27 18 \n", + "1549 199052 7 19375 13295 25455 34 23 \n", + "1550 199051 7 19080 13807 24353 34 25 \n", + "1551 199050 7 11079 6660 15498 20 12 \n", + "1552 199049 7 1143 0 2610 2 0 \n", + "\n", + " inc100_up geo_insee geo_name \n", + "0 2 FR France \n", + "1 2 FR France \n", + "2 6 FR France \n", + "3 4 FR France \n", + "4 7 FR France \n", + "5 4 FR France \n", + "6 4 FR France \n", + "7 2 FR France \n", + "8 2 FR France \n", + "9 2 FR France \n", + "10 2 FR France \n", + "11 1 FR France \n", + "12 2 FR France \n", + "13 2 FR France \n", + "14 1 FR France \n", + "15 2 FR France \n", + "16 2 FR France \n", + "17 1 FR France \n", + "18 2 FR France \n", + "19 1 FR France \n", + "20 2 FR France \n", + "21 5 FR France \n", + "22 9 FR France \n", + "23 14 FR France \n", + "24 16 FR France \n", + "25 19 FR France \n", + "26 18 FR France \n", + "27 26 FR France \n", + "28 20 FR France \n", + "29 18 FR France \n", + "... ... ... ... \n", + "1523 42 FR France \n", + "1524 38 FR France \n", + "1525 39 FR France \n", + "1526 29 FR France \n", + "1527 37 FR France \n", + "1528 36 FR France \n", + "1529 45 FR France \n", + "1530 39 FR France \n", + "1531 51 FR France \n", + "1532 32 FR France \n", + "1533 34 FR France \n", + "1534 32 FR France \n", + "1535 30 FR France \n", + "1536 23 FR France \n", + "1537 25 FR France \n", + "1538 35 FR France \n", + "1539 38 FR France \n", + "1540 33 FR France \n", + "1541 31 FR France \n", + "1542 29 FR France \n", + "1543 26 FR France \n", + "1544 25 FR France \n", + "1545 20 FR France \n", + "1546 36 FR France \n", + "1547 38 FR France \n", + "1548 36 FR France \n", + "1549 45 FR France \n", + "1550 43 FR France \n", + "1551 28 FR France \n", + "1552 5 FR France \n", + "\n", + "[1553 rows x 10 columns]" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data = raw_data.dropna().copy()\n", + "data" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "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": 27, + "metadata": {}, + "outputs": [], + "source": [ + "sorted_data = data.set_index('period').sort_index()" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "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": 29, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 29, + "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": "code", + "execution_count": 32, + "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": 33, + "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": 34, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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"cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "yearly_incidence.hist(xrot=20)" + ] + } + ], "metadata": { "kernelspec": { "display_name": "Python 3", @@ -16,10 +2301,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.3" + "version": "3.6.4" } }, "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..db7bba7243d124e19d9d913b193f3229a32f6dcf --- /dev/null +++ b/module3/exo2/incidence-PAY-7.csv @@ -0,0 +1,1555 @@ +# @source="réseau Sentinelles, INSERM, Sorbonne Université, http://www.sentiweb.fr", @meta={"period":[199049,202036],"geo":["PAY","1"],"geo_ref":"insee","indicator":"7","type":"all","conf_int":true,"compact":false}, @date=2020-09-14T16:01:40+02:00 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