From 8a9d235bc2b5dff4be3565811343da655f5d7fda Mon Sep 17 00:00:00 2001 From: d195ad838ca814ed5d135603ed8b731b Date: Tue, 7 Dec 2021 14:59:22 +0000 Subject: [PATCH] no commit message --- module3/exo1/syndrome-grippal.csv | 1937 ++++++++++ ...ce_Analyse_incidence_de_la_varicelle.ipynb | 3328 +++++++++++++++++ module3/exo2/exercice.ipynb | 25 - module3/exo2/syndrome_varicelle.csv | 1618 ++++++++ 4 files changed, 6883 insertions(+), 25 deletions(-) create mode 100644 module3/exo1/syndrome-grippal.csv create mode 100644 module3/exo2/Exercice_Analyse_incidence_de_la_varicelle.ipynb delete mode 100644 module3/exo2/exercice.ipynb create mode 100644 module3/exo2/syndrome_varicelle.csv diff --git a/module3/exo1/syndrome-grippal.csv b/module3/exo1/syndrome-grippal.csv new file mode 100644 index 0000000..fea3d9b --- /dev/null +++ b/module3/exo1/syndrome-grippal.csv @@ -0,0 +1,1937 @@ +# @source="r�seau Sentinelles, INSERM, Sorbonne Universit�, http://www.sentiweb.fr", 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b/module3/exo2/Exercice_Analyse_incidence_de_la_varicelle.ipynb @@ -0,0 +1,3328 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Initialisation" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [], + "source": [ + "%matplotlib inline\n", + "import matplotlib.pyplot as plt\n", + "import pandas as pd\n", + "import isoweek\n", + "import os" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Importation des données" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
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.................................
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" + ], + "text/plain": [ + " week indicator inc inc_low inc_up inc100 inc100_low \\\n", + "0 202147 7 11322 8282 14362 17 12 \n", + "1 202146 7 8216 5724 10708 12 8 \n", + "2 202145 7 8965 6468 11462 14 10 \n", + "3 202144 7 8736 5636 11836 13 8 \n", + "4 202143 7 8145 5164 11126 12 7 \n", + "5 202142 7 9443 6037 12849 14 9 \n", + "6 202141 7 4021 2239 5803 6 3 \n", + "7 202140 7 4441 2454 6428 7 4 \n", + "8 202139 7 2291 1056 3526 3 1 \n", + "9 202138 7 4325 2267 6383 7 4 \n", + "10 202137 7 1964 754 3174 3 1 \n", + "11 202136 7 3441 1730 5152 5 2 \n", + "12 202135 7 2562 1107 4017 4 2 \n", + "13 202134 7 1429 378 2480 2 0 \n", + "14 202133 7 3829 1830 5828 6 3 \n", + "15 202132 7 4108 1895 6321 6 3 \n", + "16 202131 7 4793 2301 7285 7 3 \n", + "17 202130 7 7190 4191 10189 11 6 \n", + "18 202129 7 6800 4109 9491 10 6 \n", + "19 202128 7 9734 0 21731 15 0 \n", + "20 202127 7 9026 4316 13736 14 7 \n", + "21 202126 7 7284 4108 10460 11 6 \n", + "22 202125 7 9351 6540 12162 14 10 \n", + "23 202124 7 12034 8937 15131 18 13 \n", + "24 202123 7 9116 6420 11812 14 10 \n", + "25 202122 7 4817 2752 6882 7 4 \n", + "26 202121 7 6092 3458 8726 9 5 \n", + "27 202120 7 7485 4601 10369 11 7 \n", + "28 202119 7 6654 4370 8938 10 7 \n", + "29 202118 7 3912 2110 5714 6 3 \n", + "... ... ... ... ... ... ... ... \n", + "1587 199126 7 17608 11304 23912 31 20 \n", + "1588 199125 7 16169 10700 21638 28 18 \n", + "1589 199124 7 16171 10071 22271 28 17 \n", + "1590 199123 7 11947 7671 16223 21 13 \n", + "1591 199122 7 15452 9953 20951 27 17 \n", + "1592 199121 7 14903 8975 20831 26 16 \n", + "1593 199120 7 19053 12742 25364 34 23 \n", + "1594 199119 7 16739 11246 22232 29 19 \n", + "1595 199118 7 21385 13882 28888 38 25 \n", + "1596 199117 7 13462 8877 18047 24 16 \n", + "1597 199116 7 14857 10068 19646 26 18 \n", + "1598 199115 7 13975 9781 18169 25 18 \n", + "1599 199114 7 12265 7684 16846 22 14 \n", + "1600 199113 7 9567 6041 13093 17 11 \n", + "1601 199112 7 10864 7331 14397 19 13 \n", + "1602 199111 7 15574 11184 19964 27 19 \n", + "1603 199110 7 16643 11372 21914 29 20 \n", + "1604 199109 7 13741 8780 18702 24 15 \n", + "1605 199108 7 13289 8813 17765 23 15 \n", + "1606 199107 7 12337 8077 16597 22 15 \n", + "1607 199106 7 10877 7013 14741 19 12 \n", + "1608 199105 7 10442 6544 14340 18 11 \n", + "1609 199104 7 7913 4563 11263 14 8 \n", + "1610 199103 7 15387 10484 20290 27 18 \n", + "1611 199102 7 16277 11046 21508 29 20 \n", + "1612 199101 7 15565 10271 20859 27 18 \n", + "1613 199052 7 19375 13295 25455 34 23 \n", + "1614 199051 7 19080 13807 24353 34 25 \n", + "1615 199050 7 11079 6660 15498 20 12 \n", + "1616 199049 7 1143 0 2610 2 0 \n", + "\n", + " inc100_up geo_insee geo_name \n", + "0 22 FR France \n", + "1 16 FR France \n", + "2 18 FR France \n", + "3 18 FR France \n", + "4 17 FR France \n", + "5 19 FR France \n", + "6 9 FR France \n", + "7 10 FR France \n", + "8 5 FR France \n", + "9 10 FR France \n", + "10 5 FR France \n", + "11 8 FR France \n", + "12 6 FR France \n", + "13 4 FR France \n", + "14 9 FR France \n", + "15 9 FR France \n", + "16 11 FR France \n", + "17 16 FR France \n", + "18 14 FR France \n", + "19 33 FR France \n", + "20 21 FR France \n", + "21 16 FR France \n", + "22 18 FR France \n", + "23 23 FR France \n", + "24 18 FR France \n", + "25 10 FR France \n", + "26 13 FR France \n", + "27 15 FR France \n", + "28 13 FR France \n", + "29 9 FR France \n", + "... ... ... ... \n", + "1587 42 FR France \n", + "1588 38 FR France \n", + "1589 39 FR France \n", + "1590 29 FR France \n", + "1591 37 FR France \n", + "1592 36 FR France \n", + "1593 45 FR France \n", + "1594 39 FR France \n", + "1595 51 FR France \n", + "1596 32 FR France \n", + "1597 34 FR France \n", + "1598 32 FR France \n", + "1599 30 FR France \n", + "1600 23 FR France \n", + "1601 25 FR France \n", + "1602 35 FR France \n", + "1603 38 FR France \n", + "1604 33 FR France \n", + "1605 31 FR France \n", + "1606 29 FR France \n", + "1607 26 FR France \n", + "1608 25 FR France \n", + "1609 20 FR France \n", + "1610 36 FR France \n", + "1611 38 FR France \n", + "1612 36 FR France \n", + "1613 45 FR France \n", + "1614 43 FR France \n", + "1615 28 FR France \n", + "1616 5 FR France \n", + "\n", + "[1617 rows x 10 columns]" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "raw_data = pd.read_csv(\"https://www.sentiweb.fr/datasets/incidence-PAY-7.csv\", skiprows = 1)\n", + "raw_data" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [], + "source": [ + "raw_data.to_csv(\"syndrome_varicelle.csv\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Traitement des données" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
\n", + "
" + ], + "text/plain": [ + "Empty DataFrame\n", + "Columns: [week, indicator, inc, inc_low, inc_up, inc100, inc100_low, inc100_up, geo_insee, geo_name]\n", + "Index: []" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "raw_data[raw_data.isnull().any(axis=1)]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Pas de données manquantes" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "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')" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_nameperiod
0202147711322828214362171222FRFrance2021-11-22/2021-11-28
12021467821657241070812816FRFrance2021-11-15/2021-11-21
220214578965646811462141018FRFrance2021-11-08/2021-11-14
32021447873656361183613818FRFrance2021-11-01/2021-11-07
42021437814551641112612717FRFrance2021-10-25/2021-10-31
52021427944360371284914919FRFrance2021-10-18/2021-10-24
62021417402122395803639FRFrance2021-10-11/2021-10-17
720214074441245464287410FRFrance2021-10-04/2021-10-10
82021397229110563526315FRFrance2021-09-27/2021-10-03
920213874325226763837410FRFrance2021-09-20/2021-09-26
10202137719647543174315FRFrance2021-09-13/2021-09-19
112021367344117305152528FRFrance2021-09-06/2021-09-12
122021357256211074017426FRFrance2021-08-30/2021-09-05
13202134714293782480204FRFrance2021-08-23/2021-08-29
142021337382918305828639FRFrance2021-08-16/2021-08-22
152021327410818956321639FRFrance2021-08-09/2021-08-15
1620213174793230172857311FRFrance2021-08-02/2021-08-08
172021307719041911018911616FRFrance2021-07-26/2021-08-01
18202129768004109949110614FRFrance2021-07-19/2021-07-25
192021287973402173115033FRFrance2021-07-12/2021-07-18
202021277902643161373614721FRFrance2021-07-05/2021-07-11
212021267728441081046011616FRFrance2021-06-28/2021-07-04
2220212579351654012162141018FRFrance2021-06-21/2021-06-27
23202124712034893715131181323FRFrance2021-06-14/2021-06-20
2420212379116642011812141018FRFrance2021-06-07/2021-06-13
2520212274817275268827410FRFrance2021-05-31/2021-06-06
2620212176092345887269513FRFrance2021-05-24/2021-05-30
272021207748546011036911715FRFrance2021-05-17/2021-05-23
28202119766544370893810713FRFrance2021-05-10/2021-05-16
292021187391221105714639FRFrance2021-05-03/2021-05-09
....................................
15871991267176081130423912312042FRFrance1991-06-24/1991-06-30
15881991257161691070021638281838FRFrance1991-06-17/1991-06-23
15891991247161711007122271281739FRFrance1991-06-10/1991-06-16
1590199123711947767116223211329FRFrance1991-06-03/1991-06-09
1591199122715452995320951271737FRFrance1991-05-27/1991-06-02
1592199121714903897520831261636FRFrance1991-05-20/1991-05-26
15931991207190531274225364342345FRFrance1991-05-13/1991-05-19
15941991197167391124622232291939FRFrance1991-05-06/1991-05-12
15951991187213851388228888382551FRFrance1991-04-29/1991-05-05
1596199117713462887718047241632FRFrance1991-04-22/1991-04-28
15971991167148571006819646261834FRFrance1991-04-15/1991-04-21
1598199115713975978118169251832FRFrance1991-04-08/1991-04-14
1599199114712265768416846221430FRFrance1991-04-01/1991-04-07
160019911379567604113093171123FRFrance1991-03-25/1991-03-31
1601199112710864733114397191325FRFrance1991-03-18/1991-03-24
16021991117155741118419964271935FRFrance1991-03-11/1991-03-17
16031991107166431137221914292038FRFrance1991-03-04/1991-03-10
1604199109713741878018702241533FRFrance1991-02-25/1991-03-03
1605199108713289881317765231531FRFrance1991-02-18/1991-02-24
1606199107712337807716597221529FRFrance1991-02-11/1991-02-17
1607199106710877701314741191226FRFrance1991-02-04/1991-02-10
1608199105710442654414340181125FRFrance1991-01-28/1991-02-03
16091991047791345631126314820FRFrance1991-01-21/1991-01-27
16101991037153871048420290271836FRFrance1991-01-14/1991-01-20
16111991027162771104621508292038FRFrance1991-01-07/1991-01-13
16121991017155651027120859271836FRFrance1990-12-31/1991-01-06
16131990527193751329525455342345FRFrance1990-12-24/1990-12-30
16141990517190801380724353342543FRFrance1990-12-17/1990-12-23
1615199050711079666015498201228FRFrance1990-12-10/1990-12-16
16161990497114302610205FRFrance1990-12-03/1990-12-09
\n", + "

1617 rows × 11 columns

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" + ], + "text/plain": [ + " week indicator inc inc_low inc_up inc100 inc100_low \\\n", + "0 202147 7 11322 8282 14362 17 12 \n", + "1 202146 7 8216 5724 10708 12 8 \n", + "2 202145 7 8965 6468 11462 14 10 \n", + "3 202144 7 8736 5636 11836 13 8 \n", + "4 202143 7 8145 5164 11126 12 7 \n", + "5 202142 7 9443 6037 12849 14 9 \n", + "6 202141 7 4021 2239 5803 6 3 \n", + "7 202140 7 4441 2454 6428 7 4 \n", + "8 202139 7 2291 1056 3526 3 1 \n", + "9 202138 7 4325 2267 6383 7 4 \n", + "10 202137 7 1964 754 3174 3 1 \n", + "11 202136 7 3441 1730 5152 5 2 \n", + "12 202135 7 2562 1107 4017 4 2 \n", + "13 202134 7 1429 378 2480 2 0 \n", + "14 202133 7 3829 1830 5828 6 3 \n", + "15 202132 7 4108 1895 6321 6 3 \n", + "16 202131 7 4793 2301 7285 7 3 \n", + "17 202130 7 7190 4191 10189 11 6 \n", + "18 202129 7 6800 4109 9491 10 6 \n", + "19 202128 7 9734 0 21731 15 0 \n", + "20 202127 7 9026 4316 13736 14 7 \n", + "21 202126 7 7284 4108 10460 11 6 \n", + "22 202125 7 9351 6540 12162 14 10 \n", + "23 202124 7 12034 8937 15131 18 13 \n", + "24 202123 7 9116 6420 11812 14 10 \n", + "25 202122 7 4817 2752 6882 7 4 \n", + "26 202121 7 6092 3458 8726 9 5 \n", + "27 202120 7 7485 4601 10369 11 7 \n", + "28 202119 7 6654 4370 8938 10 7 \n", + "29 202118 7 3912 2110 5714 6 3 \n", + "... ... ... ... ... ... ... ... \n", + "1587 199126 7 17608 11304 23912 31 20 \n", + "1588 199125 7 16169 10700 21638 28 18 \n", + "1589 199124 7 16171 10071 22271 28 17 \n", + "1590 199123 7 11947 7671 16223 21 13 \n", + "1591 199122 7 15452 9953 20951 27 17 \n", + "1592 199121 7 14903 8975 20831 26 16 \n", + "1593 199120 7 19053 12742 25364 34 23 \n", + "1594 199119 7 16739 11246 22232 29 19 \n", + "1595 199118 7 21385 13882 28888 38 25 \n", + "1596 199117 7 13462 8877 18047 24 16 \n", + "1597 199116 7 14857 10068 19646 26 18 \n", + "1598 199115 7 13975 9781 18169 25 18 \n", + "1599 199114 7 12265 7684 16846 22 14 \n", + "1600 199113 7 9567 6041 13093 17 11 \n", + "1601 199112 7 10864 7331 14397 19 13 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+ "6 9 FR France 2021-10-11/2021-10-17 \n", + "7 10 FR France 2021-10-04/2021-10-10 \n", + "8 5 FR France 2021-09-27/2021-10-03 \n", + "9 10 FR France 2021-09-20/2021-09-26 \n", + "10 5 FR France 2021-09-13/2021-09-19 \n", + "11 8 FR France 2021-09-06/2021-09-12 \n", + "12 6 FR France 2021-08-30/2021-09-05 \n", + "13 4 FR France 2021-08-23/2021-08-29 \n", + "14 9 FR France 2021-08-16/2021-08-22 \n", + "15 9 FR France 2021-08-09/2021-08-15 \n", + "16 11 FR France 2021-08-02/2021-08-08 \n", + "17 16 FR France 2021-07-26/2021-08-01 \n", + "18 14 FR France 2021-07-19/2021-07-25 \n", + "19 33 FR France 2021-07-12/2021-07-18 \n", + "20 21 FR France 2021-07-05/2021-07-11 \n", + "21 16 FR France 2021-06-28/2021-07-04 \n", + "22 18 FR France 2021-06-21/2021-06-27 \n", + "23 23 FR France 2021-06-14/2021-06-20 \n", + "24 18 FR France 2021-06-07/2021-06-13 \n", + "25 10 FR France 2021-05-31/2021-06-06 \n", + "26 13 FR France 2021-05-24/2021-05-30 \n", + "27 15 FR France 2021-05-17/2021-05-23 \n", + "28 13 FR France 2021-05-10/2021-05-16 \n", + "29 9 FR France 2021-05-03/2021-05-09 \n", + "... ... ... ... ... \n", + "1587 42 FR France 1991-06-24/1991-06-30 \n", + "1588 38 FR France 1991-06-17/1991-06-23 \n", + "1589 39 FR France 1991-06-10/1991-06-16 \n", + "1590 29 FR France 1991-06-03/1991-06-09 \n", + "1591 37 FR France 1991-05-27/1991-06-02 \n", + "1592 36 FR France 1991-05-20/1991-05-26 \n", + "1593 45 FR France 1991-05-13/1991-05-19 \n", + "1594 39 FR France 1991-05-06/1991-05-12 \n", + "1595 51 FR France 1991-04-29/1991-05-05 \n", + "1596 32 FR France 1991-04-22/1991-04-28 \n", + "1597 34 FR France 1991-04-15/1991-04-21 \n", + "1598 32 FR France 1991-04-08/1991-04-14 \n", + "1599 30 FR France 1991-04-01/1991-04-07 \n", + "1600 23 FR France 1991-03-25/1991-03-31 \n", + "1601 25 FR France 1991-03-18/1991-03-24 \n", + "1602 35 FR France 1991-03-11/1991-03-17 \n", + "1603 38 FR France 1991-03-04/1991-03-10 \n", + "1604 33 FR France 1991-02-25/1991-03-03 \n", + "1605 31 FR France 1991-02-18/1991-02-24 \n", + "1606 29 FR France 1991-02-11/1991-02-17 \n", + "1607 26 FR France 1991-02-04/1991-02-10 \n", + "1608 25 FR France 1991-01-28/1991-02-03 \n", + "1609 20 FR France 1991-01-21/1991-01-27 \n", + "1610 36 FR France 1991-01-14/1991-01-20 \n", + "1611 38 FR France 1991-01-07/1991-01-13 \n", + "1612 36 FR France 1990-12-31/1991-01-06 \n", + "1613 45 FR France 1990-12-24/1990-12-30 \n", + "1614 43 FR France 1990-12-17/1990-12-23 \n", + "1615 28 FR France 1990-12-10/1990-12-16 \n", + "1616 5 FR France 1990-12-03/1990-12-09 \n", + "\n", + "[1617 rows x 11 columns]" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data = raw_data.copy()\n", + "\n", + "data['period'] = [convert_week(yw) for yw in data['week']]\n", + "data" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
period
1990-12-03/1990-12-091990497114302610205FRFrance
1990-12-10/1990-12-16199050711079666015498201228FRFrance
1990-12-17/1990-12-231990517190801380724353342543FRFrance
1990-12-24/1990-12-301990527193751329525455342345FRFrance
1990-12-31/1991-01-061991017155651027120859271836FRFrance
1991-01-07/1991-01-131991027162771104621508292038FRFrance
1991-01-14/1991-01-201991037153871048420290271836FRFrance
1991-01-21/1991-01-271991047791345631126314820FRFrance
1991-01-28/1991-02-03199105710442654414340181125FRFrance
1991-02-04/1991-02-10199106710877701314741191226FRFrance
1991-02-11/1991-02-17199107712337807716597221529FRFrance
1991-02-18/1991-02-24199108713289881317765231531FRFrance
1991-02-25/1991-03-03199109713741878018702241533FRFrance
1991-03-04/1991-03-101991107166431137221914292038FRFrance
1991-03-11/1991-03-171991117155741118419964271935FRFrance
1991-03-18/1991-03-24199112710864733114397191325FRFrance
1991-03-25/1991-03-3119911379567604113093171123FRFrance
1991-04-01/1991-04-07199114712265768416846221430FRFrance
1991-04-08/1991-04-14199115713975978118169251832FRFrance
1991-04-15/1991-04-211991167148571006819646261834FRFrance
1991-04-22/1991-04-28199117713462887718047241632FRFrance
1991-04-29/1991-05-051991187213851388228888382551FRFrance
1991-05-06/1991-05-121991197167391124622232291939FRFrance
1991-05-13/1991-05-191991207190531274225364342345FRFrance
1991-05-20/1991-05-26199121714903897520831261636FRFrance
1991-05-27/1991-06-02199122715452995320951271737FRFrance
1991-06-03/1991-06-09199123711947767116223211329FRFrance
1991-06-10/1991-06-161991247161711007122271281739FRFrance
1991-06-17/1991-06-231991257161691070021638281838FRFrance
1991-06-24/1991-06-301991267176081130423912312042FRFrance
.................................
2021-05-03/2021-05-092021187391221105714639FRFrance
2021-05-10/2021-05-16202119766544370893810713FRFrance
2021-05-17/2021-05-232021207748546011036911715FRFrance
2021-05-24/2021-05-3020212176092345887269513FRFrance
2021-05-31/2021-06-0620212274817275268827410FRFrance
2021-06-07/2021-06-1320212379116642011812141018FRFrance
2021-06-14/2021-06-20202124712034893715131181323FRFrance
2021-06-21/2021-06-2720212579351654012162141018FRFrance
2021-06-28/2021-07-042021267728441081046011616FRFrance
2021-07-05/2021-07-112021277902643161373614721FRFrance
2021-07-12/2021-07-182021287973402173115033FRFrance
2021-07-19/2021-07-25202129768004109949110614FRFrance
2021-07-26/2021-08-012021307719041911018911616FRFrance
2021-08-02/2021-08-0820213174793230172857311FRFrance
2021-08-09/2021-08-152021327410818956321639FRFrance
2021-08-16/2021-08-222021337382918305828639FRFrance
2021-08-23/2021-08-29202134714293782480204FRFrance
2021-08-30/2021-09-052021357256211074017426FRFrance
2021-09-06/2021-09-122021367344117305152528FRFrance
2021-09-13/2021-09-19202137719647543174315FRFrance
2021-09-20/2021-09-2620213874325226763837410FRFrance
2021-09-27/2021-10-032021397229110563526315FRFrance
2021-10-04/2021-10-1020214074441245464287410FRFrance
2021-10-11/2021-10-172021417402122395803639FRFrance
2021-10-18/2021-10-242021427944360371284914919FRFrance
2021-10-25/2021-10-312021437814551641112612717FRFrance
2021-11-01/2021-11-072021447873656361183613818FRFrance
2021-11-08/2021-11-1420214578965646811462141018FRFrance
2021-11-15/2021-11-212021467821657241070812816FRFrance
2021-11-22/2021-11-28202147711322828214362171222FRFrance
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1617 rows × 10 columns

\n", + "
" + ], + "text/plain": [ + " week indicator inc inc_low inc_up inc100 \\\n", + "period \n", + "1990-12-03/1990-12-09 199049 7 1143 0 2610 2 \n", + "1990-12-10/1990-12-16 199050 7 11079 6660 15498 20 \n", + "1990-12-17/1990-12-23 199051 7 19080 13807 24353 34 \n", + "1990-12-24/1990-12-30 199052 7 19375 13295 25455 34 \n", + "1990-12-31/1991-01-06 199101 7 15565 10271 20859 27 \n", + "1991-01-07/1991-01-13 199102 7 16277 11046 21508 29 \n", + "1991-01-14/1991-01-20 199103 7 15387 10484 20290 27 \n", + "1991-01-21/1991-01-27 199104 7 7913 4563 11263 14 \n", + "1991-01-28/1991-02-03 199105 7 10442 6544 14340 18 \n", + "1991-02-04/1991-02-10 199106 7 10877 7013 14741 19 \n", + "1991-02-11/1991-02-17 199107 7 12337 8077 16597 22 \n", + "1991-02-18/1991-02-24 199108 7 13289 8813 17765 23 \n", + "1991-02-25/1991-03-03 199109 7 13741 8780 18702 24 \n", + "1991-03-04/1991-03-10 199110 7 16643 11372 21914 29 \n", + "1991-03-11/1991-03-17 199111 7 15574 11184 19964 27 \n", + "1991-03-18/1991-03-24 199112 7 10864 7331 14397 19 \n", + "1991-03-25/1991-03-31 199113 7 9567 6041 13093 17 \n", + "1991-04-01/1991-04-07 199114 7 12265 7684 16846 22 \n", + "1991-04-08/1991-04-14 199115 7 13975 9781 18169 25 \n", + "1991-04-15/1991-04-21 199116 7 14857 10068 19646 26 \n", + "1991-04-22/1991-04-28 199117 7 13462 8877 18047 24 \n", + "1991-04-29/1991-05-05 199118 7 21385 13882 28888 38 \n", + "1991-05-06/1991-05-12 199119 7 16739 11246 22232 29 \n", + "1991-05-13/1991-05-19 199120 7 19053 12742 25364 34 \n", + "1991-05-20/1991-05-26 199121 7 14903 8975 20831 26 \n", + "1991-05-27/1991-06-02 199122 7 15452 9953 20951 27 \n", + "1991-06-03/1991-06-09 199123 7 11947 7671 16223 21 \n", + "1991-06-10/1991-06-16 199124 7 16171 10071 22271 28 \n", + "1991-06-17/1991-06-23 199125 7 16169 10700 21638 28 \n", + "1991-06-24/1991-06-30 199126 7 17608 11304 23912 31 \n", + "... ... ... ... ... ... ... \n", + "2021-05-03/2021-05-09 202118 7 3912 2110 5714 6 \n", + "2021-05-10/2021-05-16 202119 7 6654 4370 8938 10 \n", + "2021-05-17/2021-05-23 202120 7 7485 4601 10369 11 \n", + "2021-05-24/2021-05-30 202121 7 6092 3458 8726 9 \n", + "2021-05-31/2021-06-06 202122 7 4817 2752 6882 7 \n", + "2021-06-07/2021-06-13 202123 7 9116 6420 11812 14 \n", + "2021-06-14/2021-06-20 202124 7 12034 8937 15131 18 \n", + "2021-06-21/2021-06-27 202125 7 9351 6540 12162 14 \n", + "2021-06-28/2021-07-04 202126 7 7284 4108 10460 11 \n", + "2021-07-05/2021-07-11 202127 7 9026 4316 13736 14 \n", + "2021-07-12/2021-07-18 202128 7 9734 0 21731 15 \n", + "2021-07-19/2021-07-25 202129 7 6800 4109 9491 10 \n", + "2021-07-26/2021-08-01 202130 7 7190 4191 10189 11 \n", + "2021-08-02/2021-08-08 202131 7 4793 2301 7285 7 \n", + "2021-08-09/2021-08-15 202132 7 4108 1895 6321 6 \n", + "2021-08-16/2021-08-22 202133 7 3829 1830 5828 6 \n", + "2021-08-23/2021-08-29 202134 7 1429 378 2480 2 \n", + "2021-08-30/2021-09-05 202135 7 2562 1107 4017 4 \n", + "2021-09-06/2021-09-12 202136 7 3441 1730 5152 5 \n", + "2021-09-13/2021-09-19 202137 7 1964 754 3174 3 \n", + "2021-09-20/2021-09-26 202138 7 4325 2267 6383 7 \n", + "2021-09-27/2021-10-03 202139 7 2291 1056 3526 3 \n", + "2021-10-04/2021-10-10 202140 7 4441 2454 6428 7 \n", + "2021-10-11/2021-10-17 202141 7 4021 2239 5803 6 \n", + "2021-10-18/2021-10-24 202142 7 9443 6037 12849 14 \n", + "2021-10-25/2021-10-31 202143 7 8145 5164 11126 12 \n", + "2021-11-01/2021-11-07 202144 7 8736 5636 11836 13 \n", + "2021-11-08/2021-11-14 202145 7 8965 6468 11462 14 \n", + "2021-11-15/2021-11-21 202146 7 8216 5724 10708 12 \n", + "2021-11-22/2021-11-28 202147 7 11322 8282 14362 17 \n", + "\n", + " inc100_low inc100_up geo_insee geo_name \n", + "period \n", + "1990-12-03/1990-12-09 0 5 FR France \n", + "1990-12-10/1990-12-16 12 28 FR France \n", + "1990-12-17/1990-12-23 25 43 FR France \n", + "1990-12-24/1990-12-30 23 45 FR France \n", + "1990-12-31/1991-01-06 18 36 FR France \n", + "1991-01-07/1991-01-13 20 38 FR France \n", + "1991-01-14/1991-01-20 18 36 FR France \n", + "1991-01-21/1991-01-27 8 20 FR France \n", + "1991-01-28/1991-02-03 11 25 FR France \n", + "1991-02-04/1991-02-10 12 26 FR France \n", + "1991-02-11/1991-02-17 15 29 FR France \n", + "1991-02-18/1991-02-24 15 31 FR France \n", + "1991-02-25/1991-03-03 15 33 FR France \n", + "1991-03-04/1991-03-10 20 38 FR France \n", + "1991-03-11/1991-03-17 19 35 FR France \n", + "1991-03-18/1991-03-24 13 25 FR France \n", + "1991-03-25/1991-03-31 11 23 FR France \n", + "1991-04-01/1991-04-07 14 30 FR France \n", + "1991-04-08/1991-04-14 18 32 FR France \n", + "1991-04-15/1991-04-21 18 34 FR France \n", + "1991-04-22/1991-04-28 16 32 FR France \n", + "1991-04-29/1991-05-05 25 51 FR France \n", + "1991-05-06/1991-05-12 19 39 FR France \n", + "1991-05-13/1991-05-19 23 45 FR France \n", + "1991-05-20/1991-05-26 16 36 FR France \n", + "1991-05-27/1991-06-02 17 37 FR France \n", + "1991-06-03/1991-06-09 13 29 FR France \n", + "1991-06-10/1991-06-16 17 39 FR France \n", + "1991-06-17/1991-06-23 18 38 FR France \n", + "1991-06-24/1991-06-30 20 42 FR France \n", + "... ... ... ... ... \n", + "2021-05-03/2021-05-09 3 9 FR France \n", + "2021-05-10/2021-05-16 7 13 FR France \n", + "2021-05-17/2021-05-23 7 15 FR France \n", + "2021-05-24/2021-05-30 5 13 FR France \n", + "2021-05-31/2021-06-06 4 10 FR France \n", + "2021-06-07/2021-06-13 10 18 FR France \n", + "2021-06-14/2021-06-20 13 23 FR France \n", + "2021-06-21/2021-06-27 10 18 FR France \n", + "2021-06-28/2021-07-04 6 16 FR France \n", + "2021-07-05/2021-07-11 7 21 FR France \n", + "2021-07-12/2021-07-18 0 33 FR France \n", + "2021-07-19/2021-07-25 6 14 FR France \n", + "2021-07-26/2021-08-01 6 16 FR France \n", + "2021-08-02/2021-08-08 3 11 FR France \n", + "2021-08-09/2021-08-15 3 9 FR France \n", + "2021-08-16/2021-08-22 3 9 FR France \n", + "2021-08-23/2021-08-29 0 4 FR France \n", + "2021-08-30/2021-09-05 2 6 FR France \n", + "2021-09-06/2021-09-12 2 8 FR France \n", + "2021-09-13/2021-09-19 1 5 FR France \n", + "2021-09-20/2021-09-26 4 10 FR France \n", + "2021-09-27/2021-10-03 1 5 FR France \n", + "2021-10-04/2021-10-10 4 10 FR France \n", + "2021-10-11/2021-10-17 3 9 FR France \n", + "2021-10-18/2021-10-24 9 19 FR France \n", + "2021-10-25/2021-10-31 7 17 FR France \n", + "2021-11-01/2021-11-07 8 18 FR France \n", + "2021-11-08/2021-11-14 10 18 FR France \n", + "2021-11-15/2021-11-21 8 16 FR France \n", + "2021-11-22/2021-11-28 12 22 FR France \n", + "\n", + "[1617 rows x 10 columns]" + ] + }, + "execution_count": 42, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sorted_data = data.set_index('period').sort_index()\n", + "sorted_data" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 47, + "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": 65, + "metadata": {}, + "outputs": [], + "source": [ + "first_september_week = [pd.Period(pd.Timestamp(y, 9, 1), 'W')\n", + " for y in range(sorted_data.index[0].year, sorted_data.index[-1].year)]" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "metadata": {}, + "outputs": [], + "source": [ + "year = []\n", + "yearly_incidence = []\n", + "\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", + " yearly_incidence.append(one_year.sum())\n", + " year.append(week2.year)" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "metadata": {}, + "outputs": [], + "source": [ + "yearly_incidence = pd.Series(index=year, data = yearly_incidence)" + ] + }, + { + "cell_type": "code", + "execution_count": 85, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 85, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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