{ "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": 24, "metadata": {}, "outputs": [], "source": [ "data_url = \"https://www.sentiweb.fr/datasets/all/inc-7-PAY.csv\"" ] }, { "cell_type": "code", "execution_count": 39, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
02025417374016295851639FRFrance
1202540725209694071426FRFrance
22025397306313674759528FRFrance
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10202531757030130829020FRFrance
112025307710235901061411616FRFrance
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1520252675872328584599513FRFrance
1620252575953369882089612FRFrance
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1820252374911266371597410FRFrance
19202522768373940973410614FRFrance
2020252174693265367337410FRFrance
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2520251676151319391099513FRFrance
2620251575557326278528511FRFrance
2720251474984285871107410FRFrance
2820251375964360883209513FRFrance
292025127385519955715639FRFrance
.................................
17891991267176081130423912312042FRFrance
17901991257161691070021638281838FRFrance
17911991247161711007122271281739FRFrance
1792199123711947767116223211329FRFrance
1793199122715452995320951271737FRFrance
1794199121714903897520831261636FRFrance
17951991207190531274225364342345FRFrance
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17971991187213851388228888382551FRFrance
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1817199050711079666015498201228FRFrance
18181990497114302610205FRFrance
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1819 rows × 10 columns

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" ], "text/plain": [ " week indicator inc inc_low inc_up inc100 inc100_low \\\n", "0 202541 7 3740 1629 5851 6 3 \n", "1 202540 7 2520 969 4071 4 2 \n", "2 202539 7 3063 1367 4759 5 2 \n", "3 202538 7 1195 0 2448 2 0 \n", "4 202537 7 1120 11 2229 2 0 \n", "5 202536 7 1575 320 2830 2 0 \n", "6 202535 7 1327 162 2492 2 0 \n", "7 202534 7 1438 48 2828 2 0 \n", "8 202533 7 3579 692 6466 5 1 \n", "9 202532 7 2384 0 4809 4 0 \n", "10 202531 7 5703 0 13082 9 0 \n", "11 202530 7 7102 3590 10614 11 6 \n", "12 202529 7 6385 3384 9386 10 6 \n", "13 202528 7 5584 3123 8045 8 4 \n", "14 202527 7 5667 2850 8484 8 4 \n", "15 202526 7 5872 3285 8459 9 5 \n", "16 202525 7 5953 3698 8208 9 6 \n", "17 202524 7 4580 2558 6602 7 4 \n", "18 202523 7 4911 2663 7159 7 4 \n", "19 202522 7 6837 3940 9734 10 6 \n", "20 202521 7 4693 2653 6733 7 4 \n", "21 202520 7 3083 1535 4631 5 3 \n", "22 202519 7 5084 1997 8171 8 3 \n", "23 202518 7 5003 2718 7288 7 4 \n", "24 202517 7 6246 3424 9068 9 5 \n", "25 202516 7 6151 3193 9109 9 5 \n", "26 202515 7 5557 3262 7852 8 5 \n", "27 202514 7 4984 2858 7110 7 4 \n", "28 202513 7 5964 3608 8320 9 5 \n", "29 202512 7 3855 1995 5715 6 3 \n", "... ... ... ... ... ... ... ... \n", "1789 199126 7 17608 11304 23912 31 20 \n", "1790 199125 7 16169 10700 21638 28 18 \n", "1791 199124 7 16171 10071 22271 28 17 \n", "1792 199123 7 11947 7671 16223 21 13 \n", "1793 199122 7 15452 9953 20951 27 17 \n", "1794 199121 7 14903 8975 20831 26 16 \n", "1795 199120 7 19053 12742 25364 34 23 \n", "1796 199119 7 16739 11246 22232 29 19 \n", "1797 199118 7 21385 13882 28888 38 25 \n", "1798 199117 7 13462 8877 18047 24 16 \n", "1799 199116 7 14857 10068 19646 26 18 \n", "1800 199115 7 13975 9781 18169 25 18 \n", "1801 199114 7 12265 7684 16846 22 14 \n", "1802 199113 7 9567 6041 13093 17 11 \n", "1803 199112 7 10864 7331 14397 19 13 \n", "1804 199111 7 15574 11184 19964 27 19 \n", "1805 199110 7 16643 11372 21914 29 20 \n", "1806 199109 7 13741 8780 18702 24 15 \n", "1807 199108 7 13289 8813 17765 23 15 \n", "1808 199107 7 12337 8077 16597 22 15 \n", "1809 199106 7 10877 7013 14741 19 12 \n", "1810 199105 7 10442 6544 14340 18 11 \n", "1811 199104 7 7913 4563 11263 14 8 \n", "1812 199103 7 15387 10484 20290 27 18 \n", "1813 199102 7 16277 11046 21508 29 20 \n", "1814 199101 7 15565 10271 20859 27 18 \n", "1815 199052 7 19375 13295 25455 34 23 \n", "1816 199051 7 19080 13807 24353 34 25 \n", "1817 199050 7 11079 6660 15498 20 12 \n", "1818 199049 7 1143 0 2610 2 0 \n", "\n", " inc100_up geo_insee geo_name \n", "0 9 FR France \n", "1 6 FR France \n", "2 8 FR France \n", "3 4 FR France \n", "4 4 FR France \n", "5 4 FR France \n", "6 4 FR France \n", "7 4 FR France \n", "8 9 FR France \n", "9 8 FR France \n", "10 20 FR France \n", "11 16 FR France \n", "12 14 FR France \n", "13 12 FR France \n", "14 12 FR France \n", "15 13 FR France \n", "16 12 FR France \n", "17 10 FR France \n", "18 10 FR France \n", "19 14 FR France \n", "20 10 FR France \n", "21 7 FR France \n", "22 13 FR France \n", "23 10 FR France \n", "24 13 FR France \n", "25 13 FR France \n", "26 11 FR France \n", "27 10 FR France \n", "28 13 FR France \n", "29 9 FR France \n", "... ... ... ... \n", "1789 42 FR France \n", "1790 38 FR France \n", "1791 39 FR France \n", "1792 29 FR France \n", "1793 37 FR France \n", "1794 36 FR France \n", "1795 45 FR France \n", "1796 39 FR France \n", "1797 51 FR France \n", "1798 32 FR France \n", "1799 34 FR France \n", "1800 32 FR France \n", "1801 30 FR France \n", "1802 23 FR France \n", "1803 25 FR France \n", "1804 35 FR France \n", "1805 38 FR France \n", "1806 33 FR France \n", "1807 31 FR France \n", "1808 29 FR France \n", "1809 26 FR France \n", "1810 25 FR France \n", "1811 20 FR France \n", "1812 36 FR France \n", "1813 38 FR France \n", "1814 36 FR France \n", "1815 45 FR France \n", "1816 43 FR France \n", "1817 28 FR France \n", "1818 5 FR France \n", "\n", "[1819 rows x 10 columns]" ] }, "execution_count": 39, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import pandas as pd\n", "\n", "# Première lecture (celle que vous aviez)\n", "data = pd.read_csv(\"https://www.sentiweb.fr/datasets/all/inc-7-PAY.csv\")\n", "\n", "# Relecture avec les bons paramètres\n", "raw_data = pd.read_csv(\"https://www.sentiweb.fr/datasets/all/inc-7-PAY.csv\", \n", " encoding='iso-8859-1', \n", " skiprows=1)\n", "raw_data" ] }, { "cell_type": "code", "execution_count": 40, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
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" ], "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": 40, "metadata": {}, "output_type": "execute_result" } ], "source": [ "raw_data[raw_data.isnull().any(axis=1)]" ] }, { "cell_type": "code", "execution_count": 41, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_nameperiod
02025417374016295851639FRFrance2025-10-06/2025-10-12
1202540725209694071426FRFrance2025-09-29/2025-10-05
22025397306313674759528FRFrance2025-09-22/2025-09-28
32025387119502448204FRFrance2025-09-15/2025-09-21
420253771120112229204FRFrance2025-09-08/2025-09-14
5202536715753202830204FRFrance2025-09-01/2025-09-07
6202535713271622492204FRFrance2025-08-25/2025-08-31
720253471438482828204FRFrance2025-08-18/2025-08-24
8202533735796926466519FRFrance2025-08-11/2025-08-17
92025327238404809408FRFrance2025-08-04/2025-08-10
10202531757030130829020FRFrance2025-07-28/2025-08-03
112025307710235901061411616FRFrance2025-07-21/2025-07-27
12202529763853384938610614FRFrance2025-07-14/2025-07-20
1320252875584312380458412FRFrance2025-07-07/2025-07-13
1420252775667285084848412FRFrance2025-06-30/2025-07-06
1520252675872328584599513FRFrance2025-06-23/2025-06-29
1620252575953369882089612FRFrance2025-06-16/2025-06-22
1720252474580255866027410FRFrance2025-06-09/2025-06-15
1820252374911266371597410FRFrance2025-06-02/2025-06-08
19202522768373940973410614FRFrance2025-05-26/2025-06-01
2020252174693265367337410FRFrance2025-05-19/2025-05-25
212025207308315354631537FRFrance2025-05-12/2025-05-18
2220251975084199781718313FRFrance2025-05-05/2025-05-11
2320251875003271872887410FRFrance2025-04-28/2025-05-04
2420251776246342490689513FRFrance2025-04-21/2025-04-27
2520251676151319391099513FRFrance2025-04-14/2025-04-20
2620251575557326278528511FRFrance2025-04-07/2025-04-13
2720251474984285871107410FRFrance2025-03-31/2025-04-06
2820251375964360883209513FRFrance2025-03-24/2025-03-30
292025127385519955715639FRFrance2025-03-17/2025-03-23
....................................
17891991267176081130423912312042FRFrance1991-06-24/1991-06-30
17901991257161691070021638281838FRFrance1991-06-17/1991-06-23
17911991247161711007122271281739FRFrance1991-06-10/1991-06-16
1792199123711947767116223211329FRFrance1991-06-03/1991-06-09
1793199122715452995320951271737FRFrance1991-05-27/1991-06-02
1794199121714903897520831261636FRFrance1991-05-20/1991-05-26
17951991207190531274225364342345FRFrance1991-05-13/1991-05-19
17961991197167391124622232291939FRFrance1991-05-06/1991-05-12
17971991187213851388228888382551FRFrance1991-04-29/1991-05-05
1798199117713462887718047241632FRFrance1991-04-22/1991-04-28
17991991167148571006819646261834FRFrance1991-04-15/1991-04-21
1800199115713975978118169251832FRFrance1991-04-08/1991-04-14
1801199114712265768416846221430FRFrance1991-04-01/1991-04-07
180219911379567604113093171123FRFrance1991-03-25/1991-03-31
1803199112710864733114397191325FRFrance1991-03-18/1991-03-24
18041991117155741118419964271935FRFrance1991-03-11/1991-03-17
18051991107166431137221914292038FRFrance1991-03-04/1991-03-10
1806199109713741878018702241533FRFrance1991-02-25/1991-03-03
1807199108713289881317765231531FRFrance1991-02-18/1991-02-24
1808199107712337807716597221529FRFrance1991-02-11/1991-02-17
1809199106710877701314741191226FRFrance1991-02-04/1991-02-10
1810199105710442654414340181125FRFrance1991-01-28/1991-02-03
18111991047791345631126314820FRFrance1991-01-21/1991-01-27
18121991037153871048420290271836FRFrance1991-01-14/1991-01-20
18131991027162771104621508292038FRFrance1991-01-07/1991-01-13
18141991017155651027120859271836FRFrance1990-12-31/1991-01-06
18151990527193751329525455342345FRFrance1990-12-24/1990-12-30
18161990517190801380724353342543FRFrance1990-12-17/1990-12-23
1817199050711079666015498201228FRFrance1990-12-10/1990-12-16
18181990497114302610205FRFrance1990-12-03/1990-12-09
\n", "

1819 rows × 11 columns

\n", "
" ], "text/plain": [ " week indicator inc inc_low inc_up inc100 inc100_low \\\n", "0 202541 7 3740 1629 5851 6 3 \n", "1 202540 7 2520 969 4071 4 2 \n", "2 202539 7 3063 1367 4759 5 2 \n", "3 202538 7 1195 0 2448 2 0 \n", "4 202537 7 1120 11 2229 2 0 \n", "5 202536 7 1575 320 2830 2 0 \n", "6 202535 7 1327 162 2492 2 0 \n", "7 202534 7 1438 48 2828 2 0 \n", "8 202533 7 3579 692 6466 5 1 \n", "9 202532 7 2384 0 4809 4 0 \n", "10 202531 7 5703 0 13082 9 0 \n", "11 202530 7 7102 3590 10614 11 6 \n", "12 202529 7 6385 3384 9386 10 6 \n", "13 202528 7 5584 3123 8045 8 4 \n", "14 202527 7 5667 2850 8484 8 4 \n", "15 202526 7 5872 3285 8459 9 5 \n", "16 202525 7 5953 3698 8208 9 6 \n", "17 202524 7 4580 2558 6602 7 4 \n", "18 202523 7 4911 2663 7159 7 4 \n", "19 202522 7 6837 3940 9734 10 6 \n", "20 202521 7 4693 2653 6733 7 4 \n", "21 202520 7 3083 1535 4631 5 3 \n", "22 202519 7 5084 1997 8171 8 3 \n", "23 202518 7 5003 2718 7288 7 4 \n", "24 202517 7 6246 3424 9068 9 5 \n", "25 202516 7 6151 3193 9109 9 5 \n", "26 202515 7 5557 3262 7852 8 5 \n", "27 202514 7 4984 2858 7110 7 4 \n", "28 202513 7 5964 3608 8320 9 5 \n", "29 202512 7 3855 1995 5715 6 3 \n", "... ... ... ... ... ... ... ... \n", "1789 199126 7 17608 11304 23912 31 20 \n", "1790 199125 7 16169 10700 21638 28 18 \n", "1791 199124 7 16171 10071 22271 28 17 \n", "1792 199123 7 11947 7671 16223 21 13 \n", "1793 199122 7 15452 9953 20951 27 17 \n", "1794 199121 7 14903 8975 20831 26 16 \n", "1795 199120 7 19053 12742 25364 34 23 \n", "1796 199119 7 16739 11246 22232 29 19 \n", "1797 199118 7 21385 13882 28888 38 25 \n", "1798 199117 7 13462 8877 18047 24 16 \n", "1799 199116 7 14857 10068 19646 26 18 \n", "1800 199115 7 13975 9781 18169 25 18 \n", "1801 199114 7 12265 7684 16846 22 14 \n", "1802 199113 7 9567 6041 13093 17 11 \n", "1803 199112 7 10864 7331 14397 19 13 \n", "1804 199111 7 15574 11184 19964 27 19 \n", "1805 199110 7 16643 11372 21914 29 20 \n", "1806 199109 7 13741 8780 18702 24 15 \n", "1807 199108 7 13289 8813 17765 23 15 \n", "1808 199107 7 12337 8077 16597 22 15 \n", "1809 199106 7 10877 7013 14741 19 12 \n", "1810 199105 7 10442 6544 14340 18 11 \n", "1811 199104 7 7913 4563 11263 14 8 \n", "1812 199103 7 15387 10484 20290 27 18 \n", "1813 199102 7 16277 11046 21508 29 20 \n", "1814 199101 7 15565 10271 20859 27 18 \n", "1815 199052 7 19375 13295 25455 34 23 \n", "1816 199051 7 19080 13807 24353 34 25 \n", "1817 199050 7 11079 6660 15498 20 12 \n", "1818 199049 7 1143 0 2610 2 0 \n", "\n", " inc100_up geo_insee geo_name period \n", "0 9 FR France 2025-10-06/2025-10-12 \n", "1 6 FR France 2025-09-29/2025-10-05 \n", "2 8 FR France 2025-09-22/2025-09-28 \n", "3 4 FR France 2025-09-15/2025-09-21 \n", "4 4 FR France 2025-09-08/2025-09-14 \n", "5 4 FR France 2025-09-01/2025-09-07 \n", "6 4 FR France 2025-08-25/2025-08-31 \n", "7 4 FR France 2025-08-18/2025-08-24 \n", "8 9 FR France 2025-08-11/2025-08-17 \n", "9 8 FR France 2025-08-04/2025-08-10 \n", "10 20 FR France 2025-07-28/2025-08-03 \n", "11 16 FR France 2025-07-21/2025-07-27 \n", "12 14 FR France 2025-07-14/2025-07-20 \n", "13 12 FR France 2025-07-07/2025-07-13 \n", "14 12 FR France 2025-06-30/2025-07-06 \n", "15 13 FR France 2025-06-23/2025-06-29 \n", "16 12 FR France 2025-06-16/2025-06-22 \n", "17 10 FR France 2025-06-09/2025-06-15 \n", "18 10 FR France 2025-06-02/2025-06-08 \n", "19 14 FR France 2025-05-26/2025-06-01 \n", "20 10 FR France 2025-05-19/2025-05-25 \n", "21 7 FR France 2025-05-12/2025-05-18 \n", "22 13 FR France 2025-05-05/2025-05-11 \n", "23 10 FR France 2025-04-28/2025-05-04 \n", "24 13 FR France 2025-04-21/2025-04-27 \n", "25 13 FR France 2025-04-14/2025-04-20 \n", "26 11 FR France 2025-04-07/2025-04-13 \n", "27 10 FR France 2025-03-31/2025-04-06 \n", "28 13 FR France 2025-03-24/2025-03-30 \n", "29 9 FR France 2025-03-17/2025-03-23 \n", "... ... ... ... ... \n", "1789 42 FR France 1991-06-24/1991-06-30 \n", "1790 38 FR France 1991-06-17/1991-06-23 \n", "1791 39 FR France 1991-06-10/1991-06-16 \n", "1792 29 FR France 1991-06-03/1991-06-09 \n", "1793 37 FR France 1991-05-27/1991-06-02 \n", "1794 36 FR France 1991-05-20/1991-05-26 \n", "1795 45 FR France 1991-05-13/1991-05-19 \n", "1796 39 FR France 1991-05-06/1991-05-12 \n", "1797 51 FR France 1991-04-29/1991-05-05 \n", "1798 32 FR France 1991-04-22/1991-04-28 \n", "1799 34 FR France 1991-04-15/1991-04-21 \n", "1800 32 FR France 1991-04-08/1991-04-14 \n", "1801 30 FR France 1991-04-01/1991-04-07 \n", "1802 23 FR France 1991-03-25/1991-03-31 \n", "1803 25 FR France 1991-03-18/1991-03-24 \n", "1804 35 FR France 1991-03-11/1991-03-17 \n", "1805 38 FR France 1991-03-04/1991-03-10 \n", "1806 33 FR France 1991-02-25/1991-03-03 \n", "1807 31 FR France 1991-02-18/1991-02-24 \n", "1808 29 FR France 1991-02-11/1991-02-17 \n", "1809 26 FR France 1991-02-04/1991-02-10 \n", "1810 25 FR France 1991-01-28/1991-02-03 \n", "1811 20 FR France 1991-01-21/1991-01-27 \n", "1812 36 FR France 1991-01-14/1991-01-20 \n", "1813 38 FR France 1991-01-07/1991-01-13 \n", "1814 36 FR France 1990-12-31/1991-01-06 \n", "1815 45 FR France 1990-12-24/1990-12-30 \n", "1816 43 FR France 1990-12-17/1990-12-23 \n", "1817 28 FR France 1990-12-10/1990-12-16 \n", "1818 5 FR France 1990-12-03/1990-12-09 \n", "\n", "[1819 rows x 11 columns]" ] }, "execution_count": 41, "metadata": {}, "output_type": "execute_result" } ], "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", "raw_data['period'] = [convert_week(yw) for yw in raw_data['week']]\n", "raw_data" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 46, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "=== Années avec les épidémies les plus FORTES ===\n", "annee_epidemique\n", "2008 844054\n", "1991 834935\n", "2009 834077\n", "2003 782509\n", "2015 779816\n", "Name: inc, dtype: int64\n", "\n", "=== Années avec les épidémies les plus FAIBLES ===\n", "annee_epidemique\n", "2020 377933\n", "2022 365607\n", "2019 221183\n", "2024 215782\n", "2025 13213\n", "Name: inc, dtype: int64\n" ] }, { "data": { "text/html": [ "
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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_nameperioddateannee_epidemique
02025417374016295851639FRFrance2025-10-06/2025-10-122025-10-062025
1202540725209694071426FRFrance2025-09-29/2025-10-052025-09-292025
22025397306313674759528FRFrance2025-09-22/2025-09-282025-09-222025
32025387119502448204FRFrance2025-09-15/2025-09-212025-09-152025
420253771120112229204FRFrance2025-09-08/2025-09-142025-09-082025
5202536715753202830204FRFrance2025-09-01/2025-09-072025-09-012025
6202535713271622492204FRFrance2025-08-25/2025-08-312025-08-252024
720253471438482828204FRFrance2025-08-18/2025-08-242025-08-182024
8202533735796926466519FRFrance2025-08-11/2025-08-172025-08-112024
92025327238404809408FRFrance2025-08-04/2025-08-102025-08-042024
10202531757030130829020FRFrance2025-07-28/2025-08-032025-07-282024
112025307710235901061411616FRFrance2025-07-21/2025-07-272025-07-212024
12202529763853384938610614FRFrance2025-07-14/2025-07-202025-07-142024
1320252875584312380458412FRFrance2025-07-07/2025-07-132025-07-072024
1420252775667285084848412FRFrance2025-06-30/2025-07-062025-06-302024
1520252675872328584599513FRFrance2025-06-23/2025-06-292025-06-232024
1620252575953369882089612FRFrance2025-06-16/2025-06-222025-06-162024
1720252474580255866027410FRFrance2025-06-09/2025-06-152025-06-092024
1820252374911266371597410FRFrance2025-06-02/2025-06-082025-06-022024
19202522768373940973410614FRFrance2025-05-26/2025-06-012025-05-262024
2020252174693265367337410FRFrance2025-05-19/2025-05-252025-05-192024
212025207308315354631537FRFrance2025-05-12/2025-05-182025-05-122024
2220251975084199781718313FRFrance2025-05-05/2025-05-112025-05-052024
2320251875003271872887410FRFrance2025-04-28/2025-05-042025-04-282024
2420251776246342490689513FRFrance2025-04-21/2025-04-272025-04-212024
2520251676151319391099513FRFrance2025-04-14/2025-04-202025-04-142024
2620251575557326278528511FRFrance2025-04-07/2025-04-132025-04-072024
2720251474984285871107410FRFrance2025-03-31/2025-04-062025-03-312024
2820251375964360883209513FRFrance2025-03-24/2025-03-302025-03-242024
292025127385519955715639FRFrance2025-03-17/2025-03-232025-03-172024
..........................................
17891991267176081130423912312042FRFrance1991-06-24/1991-06-301991-06-241990
17901991257161691070021638281838FRFrance1991-06-17/1991-06-231991-06-171990
17911991247161711007122271281739FRFrance1991-06-10/1991-06-161991-06-101990
1792199123711947767116223211329FRFrance1991-06-03/1991-06-091991-06-031990
1793199122715452995320951271737FRFrance1991-05-27/1991-06-021991-05-271990
1794199121714903897520831261636FRFrance1991-05-20/1991-05-261991-05-201990
17951991207190531274225364342345FRFrance1991-05-13/1991-05-191991-05-131990
17961991197167391124622232291939FRFrance1991-05-06/1991-05-121991-05-061990
17971991187213851388228888382551FRFrance1991-04-29/1991-05-051991-04-291990
1798199117713462887718047241632FRFrance1991-04-22/1991-04-281991-04-221990
17991991167148571006819646261834FRFrance1991-04-15/1991-04-211991-04-151990
1800199115713975978118169251832FRFrance1991-04-08/1991-04-141991-04-081990
1801199114712265768416846221430FRFrance1991-04-01/1991-04-071991-04-011990
180219911379567604113093171123FRFrance1991-03-25/1991-03-311991-03-251990
1803199112710864733114397191325FRFrance1991-03-18/1991-03-241991-03-181990
18041991117155741118419964271935FRFrance1991-03-11/1991-03-171991-03-111990
18051991107166431137221914292038FRFrance1991-03-04/1991-03-101991-03-041990
1806199109713741878018702241533FRFrance1991-02-25/1991-03-031991-02-251990
1807199108713289881317765231531FRFrance1991-02-18/1991-02-241991-02-181990
1808199107712337807716597221529FRFrance1991-02-11/1991-02-171991-02-111990
1809199106710877701314741191226FRFrance1991-02-04/1991-02-101991-02-041990
1810199105710442654414340181125FRFrance1991-01-28/1991-02-031991-01-281990
18111991047791345631126314820FRFrance1991-01-21/1991-01-271991-01-211990
18121991037153871048420290271836FRFrance1991-01-14/1991-01-201991-01-141990
18131991027162771104621508292038FRFrance1991-01-07/1991-01-131991-01-071990
18141991017155651027120859271836FRFrance1990-12-31/1991-01-061990-12-311990
18151990527193751329525455342345FRFrance1990-12-24/1990-12-301990-12-241990
18161990517190801380724353342543FRFrance1990-12-17/1990-12-231990-12-171990
1817199050711079666015498201228FRFrance1990-12-10/1990-12-161990-12-101990
18181990497114302610205FRFrance1990-12-03/1990-12-091990-12-031990
\n", "

1819 rows × 13 columns

\n", "
" ], "text/plain": [ " week indicator inc inc_low inc_up inc100 inc100_low \\\n", "0 202541 7 3740 1629 5851 6 3 \n", "1 202540 7 2520 969 4071 4 2 \n", "2 202539 7 3063 1367 4759 5 2 \n", "3 202538 7 1195 0 2448 2 0 \n", "4 202537 7 1120 11 2229 2 0 \n", "5 202536 7 1575 320 2830 2 0 \n", "6 202535 7 1327 162 2492 2 0 \n", "7 202534 7 1438 48 2828 2 0 \n", "8 202533 7 3579 692 6466 5 1 \n", "9 202532 7 2384 0 4809 4 0 \n", "10 202531 7 5703 0 13082 9 0 \n", "11 202530 7 7102 3590 10614 11 6 \n", "12 202529 7 6385 3384 9386 10 6 \n", "13 202528 7 5584 3123 8045 8 4 \n", "14 202527 7 5667 2850 8484 8 4 \n", "15 202526 7 5872 3285 8459 9 5 \n", "16 202525 7 5953 3698 8208 9 6 \n", "17 202524 7 4580 2558 6602 7 4 \n", "18 202523 7 4911 2663 7159 7 4 \n", "19 202522 7 6837 3940 9734 10 6 \n", "20 202521 7 4693 2653 6733 7 4 \n", "21 202520 7 3083 1535 4631 5 3 \n", "22 202519 7 5084 1997 8171 8 3 \n", "23 202518 7 5003 2718 7288 7 4 \n", "24 202517 7 6246 3424 9068 9 5 \n", "25 202516 7 6151 3193 9109 9 5 \n", "26 202515 7 5557 3262 7852 8 5 \n", "27 202514 7 4984 2858 7110 7 4 \n", "28 202513 7 5964 3608 8320 9 5 \n", "29 202512 7 3855 1995 5715 6 3 \n", "... ... ... ... ... ... ... ... \n", "1789 199126 7 17608 11304 23912 31 20 \n", "1790 199125 7 16169 10700 21638 28 18 \n", "1791 199124 7 16171 10071 22271 28 17 \n", "1792 199123 7 11947 7671 16223 21 13 \n", "1793 199122 7 15452 9953 20951 27 17 \n", "1794 199121 7 14903 8975 20831 26 16 \n", "1795 199120 7 19053 12742 25364 34 23 \n", "1796 199119 7 16739 11246 22232 29 19 \n", "1797 199118 7 21385 13882 28888 38 25 \n", "1798 199117 7 13462 8877 18047 24 16 \n", "1799 199116 7 14857 10068 19646 26 18 \n", "1800 199115 7 13975 9781 18169 25 18 \n", "1801 199114 7 12265 7684 16846 22 14 \n", "1802 199113 7 9567 6041 13093 17 11 \n", "1803 199112 7 10864 7331 14397 19 13 \n", "1804 199111 7 15574 11184 19964 27 19 \n", "1805 199110 7 16643 11372 21914 29 20 \n", "1806 199109 7 13741 8780 18702 24 15 \n", "1807 199108 7 13289 8813 17765 23 15 \n", "1808 199107 7 12337 8077 16597 22 15 \n", "1809 199106 7 10877 7013 14741 19 12 \n", "1810 199105 7 10442 6544 14340 18 11 \n", "1811 199104 7 7913 4563 11263 14 8 \n", "1812 199103 7 15387 10484 20290 27 18 \n", "1813 199102 7 16277 11046 21508 29 20 \n", "1814 199101 7 15565 10271 20859 27 18 \n", "1815 199052 7 19375 13295 25455 34 23 \n", "1816 199051 7 19080 13807 24353 34 25 \n", "1817 199050 7 11079 6660 15498 20 12 \n", "1818 199049 7 1143 0 2610 2 0 \n", "\n", " inc100_up geo_insee geo_name period date \\\n", "0 9 FR France 2025-10-06/2025-10-12 2025-10-06 \n", "1 6 FR France 2025-09-29/2025-10-05 2025-09-29 \n", "2 8 FR France 2025-09-22/2025-09-28 2025-09-22 \n", "3 4 FR France 2025-09-15/2025-09-21 2025-09-15 \n", "4 4 FR France 2025-09-08/2025-09-14 2025-09-08 \n", "5 4 FR France 2025-09-01/2025-09-07 2025-09-01 \n", "6 4 FR France 2025-08-25/2025-08-31 2025-08-25 \n", "7 4 FR France 2025-08-18/2025-08-24 2025-08-18 \n", "8 9 FR France 2025-08-11/2025-08-17 2025-08-11 \n", "9 8 FR France 2025-08-04/2025-08-10 2025-08-04 \n", "10 20 FR France 2025-07-28/2025-08-03 2025-07-28 \n", "11 16 FR France 2025-07-21/2025-07-27 2025-07-21 \n", "12 14 FR France 2025-07-14/2025-07-20 2025-07-14 \n", "13 12 FR France 2025-07-07/2025-07-13 2025-07-07 \n", "14 12 FR France 2025-06-30/2025-07-06 2025-06-30 \n", "15 13 FR France 2025-06-23/2025-06-29 2025-06-23 \n", "16 12 FR France 2025-06-16/2025-06-22 2025-06-16 \n", "17 10 FR France 2025-06-09/2025-06-15 2025-06-09 \n", "18 10 FR France 2025-06-02/2025-06-08 2025-06-02 \n", "19 14 FR France 2025-05-26/2025-06-01 2025-05-26 \n", "20 10 FR France 2025-05-19/2025-05-25 2025-05-19 \n", "21 7 FR France 2025-05-12/2025-05-18 2025-05-12 \n", "22 13 FR France 2025-05-05/2025-05-11 2025-05-05 \n", "23 10 FR France 2025-04-28/2025-05-04 2025-04-28 \n", "24 13 FR France 2025-04-21/2025-04-27 2025-04-21 \n", "25 13 FR France 2025-04-14/2025-04-20 2025-04-14 \n", "26 11 FR France 2025-04-07/2025-04-13 2025-04-07 \n", "27 10 FR France 2025-03-31/2025-04-06 2025-03-31 \n", "28 13 FR France 2025-03-24/2025-03-30 2025-03-24 \n", "29 9 FR France 2025-03-17/2025-03-23 2025-03-17 \n", "... ... ... ... ... ... \n", "1789 42 FR France 1991-06-24/1991-06-30 1991-06-24 \n", "1790 38 FR France 1991-06-17/1991-06-23 1991-06-17 \n", "1791 39 FR France 1991-06-10/1991-06-16 1991-06-10 \n", "1792 29 FR France 1991-06-03/1991-06-09 1991-06-03 \n", "1793 37 FR France 1991-05-27/1991-06-02 1991-05-27 \n", "1794 36 FR France 1991-05-20/1991-05-26 1991-05-20 \n", "1795 45 FR France 1991-05-13/1991-05-19 1991-05-13 \n", "1796 39 FR France 1991-05-06/1991-05-12 1991-05-06 \n", "1797 51 FR France 1991-04-29/1991-05-05 1991-04-29 \n", "1798 32 FR France 1991-04-22/1991-04-28 1991-04-22 \n", "1799 34 FR France 1991-04-15/1991-04-21 1991-04-15 \n", "1800 32 FR France 1991-04-08/1991-04-14 1991-04-08 \n", "1801 30 FR France 1991-04-01/1991-04-07 1991-04-01 \n", "1802 23 FR France 1991-03-25/1991-03-31 1991-03-25 \n", "1803 25 FR France 1991-03-18/1991-03-24 1991-03-18 \n", "1804 35 FR France 1991-03-11/1991-03-17 1991-03-11 \n", "1805 38 FR France 1991-03-04/1991-03-10 1991-03-04 \n", "1806 33 FR France 1991-02-25/1991-03-03 1991-02-25 \n", "1807 31 FR France 1991-02-18/1991-02-24 1991-02-18 \n", "1808 29 FR France 1991-02-11/1991-02-17 1991-02-11 \n", "1809 26 FR France 1991-02-04/1991-02-10 1991-02-04 \n", "1810 25 FR France 1991-01-28/1991-02-03 1991-01-28 \n", "1811 20 FR France 1991-01-21/1991-01-27 1991-01-21 \n", "1812 36 FR France 1991-01-14/1991-01-20 1991-01-14 \n", "1813 38 FR France 1991-01-07/1991-01-13 1991-01-07 \n", "1814 36 FR France 1990-12-31/1991-01-06 1990-12-31 \n", "1815 45 FR France 1990-12-24/1990-12-30 1990-12-24 \n", "1816 43 FR France 1990-12-17/1990-12-23 1990-12-17 \n", "1817 28 FR France 1990-12-10/1990-12-16 1990-12-10 \n", "1818 5 FR France 1990-12-03/1990-12-09 1990-12-03 \n", "\n", " annee_epidemique \n", "0 2025 \n", "1 2025 \n", "2 2025 \n", "3 2025 \n", "4 2025 \n", "5 2025 \n", "6 2024 \n", "7 2024 \n", "8 2024 \n", "9 2024 \n", "10 2024 \n", "11 2024 \n", "12 2024 \n", "13 2024 \n", "14 2024 \n", "15 2024 \n", "16 2024 \n", "17 2024 \n", "18 2024 \n", "19 2024 \n", "20 2024 \n", "21 2024 \n", "22 2024 \n", "23 2024 \n", "24 2024 \n", "25 2024 \n", "26 2024 \n", "27 2024 \n", "28 2024 \n", "29 2024 \n", "... ... \n", "1789 1990 \n", "1790 1990 \n", "1791 1990 \n", "1792 1990 \n", "1793 1990 \n", "1794 1990 \n", "1795 1990 \n", "1796 1990 \n", "1797 1990 \n", "1798 1990 \n", "1799 1990 \n", "1800 1990 \n", "1801 1990 \n", "1802 1990 \n", "1803 1990 \n", "1804 1990 \n", "1805 1990 \n", "1806 1990 \n", "1807 1990 \n", "1808 1990 \n", "1809 1990 \n", "1810 1990 \n", "1811 1990 \n", "1812 1990 \n", "1813 1990 \n", "1814 1990 \n", "1815 1990 \n", "1816 1990 \n", "1817 1990 \n", "1818 1990 \n", "\n", "[1819 rows x 13 columns]" ] }, "execution_count": 46, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Créer une colonne \"année épidémique\" (commence au 1er septembre)\n", "raw_data['date'] = raw_data['period'].dt.to_timestamp()\n", "raw_data['annee_epidemique'] = raw_data['date'].apply(\n", " lambda x: x.year if x.month >= 9 else x.year - 1\n", ")\n", "\n", "# Calculer l'incidence totale par année épidémique\n", "incidence_par_annee = raw_data.groupby('annee_epidemique')['inc'].sum().sort_values(ascending=False)\n", "\n", "print(\"=== Années avec les épidémies les plus FORTES ===\")\n", "print(incidence_par_annee.head(5))\n", "\n", "print(\"\\n=== Années avec les épidémies les plus FAIBLES ===\")\n", "print(incidence_par_annee.tail(5))\n", "\n", "raw_data" ] }, { "cell_type": "code", "execution_count": 45, "metadata": {}, "outputs": [ { "data": { "image/png": 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JknpigSVJkiRJPbHAkiRJkqSeWGBJkiRJUk8ssCRJkiSpJxZYkiRJktQTCyxJkiRJ6okFliRJkiT1ZM62TuChbuEpHx+77y1nHDdgJpIkSZIe6hzBkiRJkqSeWGBJkiRJUk8ssCRJkiSpJ16Dta2ctvuY/e4eO+RTlj9l7L7XLrt27L6SJEmSxuMIliRJkiT1xAJLkiRJknpigSVJkiRJPbHAkiRJkqSeWGBJkiRJUk8ssCRJkiSpJxZYkiRJktQTCyxJkiRJ6okFliRJkiT1ZNACK8kfJLkuyVeTfDDJzknmJlmR5Kb2c4+R/m9MsirJjUmOGWk/PMm1bd07kqS175TkgtZ+RZKFI9ssa49xU5JlQ+6nJEmSJMGABVaS+cBrgEVVdSiwA7AUOAW4tKoOBC5tyyQ5pK1/MnAscGaSHVq4s4CTgAPb7djWfiKwrqqeCLwNeGuLNRc4FTgSOAI4dbSQkyRJkqQhDH2K4BxglyRzgF2B24DjgeVt/XLghHb/eOD8qrqvqm4GVgFHJNkH2K2qLq+qAt47aZuJWBcBi9vo1jHAiqpaW1XrgBU8WJRJkiRJ0iAGK7Cq6tvAXwLfAm4H7q6qTwF7V9Xtrc/twF5tk/nArSMhVre2+e3+5PYNtqmq9cDdwGOnibWBJCclWZlk5Zo1a7Z8ZyVJkiSJYU8R3INuhGl/YF/gUUlePt0mU7TVNO1bus2DDVVnV9Wiqlo0b968aVKTJEmSpE0b8hTB5wM3V9Waqvop8CHgPwF3tNP+aD/vbP1XA/uNbL+A7pTC1e3+5PYNtmmnIe4OrJ0mliRJkiQNZsgC61vAUUl2bddFLQauBy4GJmb1WwZ8tN2/GFjaZgbcn24yiyvbaYT3JDmqxXnlpG0mYr0YuKxdp3UJsCTJHm0kbUlrkyRJkqTBzBkqcFVdkeQi4EvAeuDLwNnAo4ELk5xIV4S9pPW/LsmFwNda/5Or6v4W7tXAucAuwCfbDeA9wHlJVtGNXC1tsdYmeTNwVev3pqpaO9S+SpIkSRIMWGABVNWpdNOlj7qPbjRrqv6nA6dP0b4SOHSK9ntpBdoU684BztnMlCVJkiRpiw09TbskSZIkPWwMOoKl7cP1Bx08dt+Db7h+wEwkSZKkhzYLLG0T73zVZWP3PfldRw+YiSRJktQfTxGUJEmSpJ5YYEmSJElSTyywJEmSJKknFliSJEmS1BMLLEmSJEnqiQWWJEmSJPXEAkuSJEmSemKBJUmSJEk98YuGtV35q5e+cOy+r7/gYwNmIkmSpIcjR7AkSZIkqSeOYEljWH3KP4/dd8EZzxowE0mSJD2UOYIlSZIkST1xBEvaRk477bRB+kqSJGnbcQRLkiRJknpigSVJkiRJPbHAkiRJkqSeWGBJkiRJUk8ssCRJkiSpJxZYkiRJktQTCyxJkiRJ6okFliRJkiT1xAJLkiRJknpigSVJkiRJPZmzrROQ1K9LLztg7L6Lj/76gJlIkiQ9/DiCJUmSJEk9scCSJEmSpJ5YYEmSJElSTwYrsJI8Kck1I7fvJ3ldkrlJViS5qf3cY2SbNyZZleTGJMeMtB+e5Nq27h1J0tp3SnJBa78iycKRbZa1x7gpybKh9lOSJEmSJgxWYFXVjVV1WFUdBhwO/Aj4MHAKcGlVHQhc2pZJcgiwFHgycCxwZpIdWrizgJOAA9vt2NZ+IrCuqp4IvA14a4s1FzgVOBI4Ajh1tJCTJEmSpCFsrVMEFwNfr6pvAscDy1v7cuCEdv944Pyquq+qbgZWAUck2QfYraour6oC3jtpm4lYFwGL2+jWMcCKqlpbVeuAFTxYlEmSJEnSILZWgbUU+GC7v3dV3Q7Qfu7V2ucDt45ss7q1zW/3J7dvsE1VrQfuBh47TawNJDkpycokK9esWbPFOydJkiRJsBW+ByvJjsCLgDduqusUbTVN+5Zu82BD1dnA2QCLFi36mfWSHvTzn7lm7L7fed5hA2YiSZL00LU1RrBeAHypqu5oy3e00/5oP+9s7auB/Ua2WwDc1toXTNG+wTZJ5gC7A2uniSVJkiRJg9kaBdbLePD0QICLgYlZ/ZYBHx1pX9pmBtyfbjKLK9tphPckOapdX/XKSdtMxHoxcFm7TusSYEmSPdrkFktamyRJkiQNZtBTBJPsCvwK8PsjzWcAFyY5EfgW8BKAqrouyYXA14D1wMlVdX/b5tXAucAuwCfbDeA9wHlJVtGNXC1tsdYmeTNwVev3pqpaO8hOSpIkSVIzaIFVVT+im3RitO27dLMKTtX/dOD0KdpXAodO0X4vrUCbYt05wDmbn7UkSZIkbZmtNYugJEmSJG33Bp9FUJI2ZuEpHx+77y1nHLfN40qSJG2KBZYkjeu03Tej793D5SFJkh6yPEVQkiRJknpigSVJkiRJPbHAkiRJkqSeWGBJkiRJUk8ssCRJkiSpJxZYkiRJktQTp2mXpG3oKcufMnbfa5ddO2AmkiSpD45gSZIkSVJPLLAkSZIkqScWWJIkSZLUEwssSZIkSeqJk1xI0nbo+oMOHrvvwTdcP2AmkiQ9vDiCJUmSJEk9scCSJEmSpJ54iqAkaWzvfNVlY/c9+V1Hj9Xvr176wrFjvv6Cj43dV5KkbcECS5K0XVp9yj+P3XfBGc8aMBNJ0sOJpwhKkiRJUk8ssCRJkiSpJxZYkiRJktQTr8GSJGkznHbaaYP0lSRtHyywJEnaxi697ICx+y4++usDZiJJmilPEZQkSZKknjiCJUnSdurnP3PN2H2/87zDxu678JSPj9XvljOOGzumJG0vHMGSJEmSpJ5YYEmSJElSTzxFUJIkbXPjnnYInnoo6aHNESxJkiRJ6okFliRJkiT1ZNBTBJP8HPBu4FCggN8BbgQuABYCtwD/uarWtf5vBE4E7gdeU1WXtPbDgXOBXYBPAK+tqkqyE/Be4HDgu8BLq+qWts0y4I9bKm+pquVD7qskSXoIOm33zeh793B5SHrYGHoE66+Bf6qqg4BfBK4HTgEuraoDgUvbMkkOAZYCTwaOBc5MskOLcxZwEnBgux3b2k8E1lXVE4G3AW9tseYCpwJHAkcApybZY9hdlSRJkvRwN1iBlWQ34NnAewCq6idV9T3geGBiNGk5cEK7fzxwflXdV1U3A6uAI5LsA+xWVZdXVdGNWI1uMxHrImBxkgDHACuqam0bHVvBg0WZJEmSJA1iyBGsJwBrgH9I8uUk707yKGDvqrodoP3cq/WfD9w6sv3q1ja/3Z/cvsE2VbUeuBt47DSxNpDkpCQrk6xcs2bNTPZVkiRJkgYtsOYATwfOqqqnAT+knQ64EZmiraZp39JtHmyoOruqFlXVonnz5k2TmiRJkiRt2pAF1mpgdVVd0ZYvoiu47min/dF+3jnSf7+R7RcAt7X2BVO0b7BNkjnA7sDaaWJJkiRJ0mAGK7Cq6jvArUme1JoWA18DLgaWtbZlwEfb/YuBpUl2SrI/3WQWV7bTCO9JclS7vuqVk7aZiPVi4LJ2ndYlwJIke7TJLZa0NkmSJEkazKDTtAP/L/D+JDsC3wB+m66ouzDJicC3gJcAVNV1SS6kK8LWAydX1f0tzqt5cJr2T7YbdBNonJdkFd3I1dIWa22SNwNXtX5vqqq1Q+6oJEmSJA1aYFXVNcCiKVYt3kj/04HTp2hfSfddWpPb76UVaFOsOwc4Z3PylSRJkqSZGHoES5IkabvzlOVPGavftcuuHTgTSQ81Q3/RsCRJkiQ9bFhgSZIkSVJPLLAkSZIkqScWWJIkSZLUEwssSZIkSeqJBZYkSZIk9cRp2iVJkh4Crj/o4LH7HnzD9QNmImkmHMGSJEmSpJ5YYEmSJElSTzZZYCXZNcmfJPn7tnxgkhcOn5okSZIkzS7jjGD9A3Af8EtteTXwlsEykiRJkqRZapxJLg6oqpcmeRlAVf04SQbOS5IkST1456suG7vvye86euy+f/XS8U5oev0FHxs7prQ9GGcE6ydJdgEKIMkBdCNakiRJkqQR44xgnQr8E7BfkvcDzwR+a8ikJEmSJGk22mSBVVUrknwJOAoI8NqqumvwzCRJkiRplhlnFsEALwAOr6qPAbsmOWLwzCRJkiRplplyBCvJM4EvVtX9wJnAA8DRwJuAe4B/BJ6xtZKUJEnS9m/1Kf88dt8FZzxrwEykLbexEawCzmr3j6yqk4F7AapqHbDjVshNkiRJkmaVKUewqupfk/yoLf40yQ48OIvgPLoRLUmSJEnSiI1eg1VV17S77wA+DOyV5HTgC8CfbYXcJEmSJGlWGWcWwfcnuRpYTDeL4AlVdf3gmUmSJEnSLLPRAivJ3JHFO4EPjq6rqrVDJiZJkiRJs810I1hX0113lZG2ieUCnjBgXpIkSZI062y0wKqq/bdmIpIkSZI0223yGqwkz56qvao+3386kiRJkjR7bbLAAv5w5P7OwBF0pw8ePUhGkiRJkjRLjTOL4K+NLifZD/iLwTKSJEmSenTaaacN0leayka/B2saq4FD+05EkiRJkma7ca7B+hu6WQOhK8gOA74yZFKSJEmSNBuNM4K1ku6aq6uBy4E3VNXLxwme5JYk1ya5JsnK1jY3yYokN7Wfe4z0f2OSVUluTHLMSPvhLc6qJO9Ikta+U5ILWvsVSRaObLOsPcZNSZaNk68kSZIkzcQ412Atn+FjPK+q7hpZPgW4tKrOSHJKW35DkkOApcCTgX2BTyf5haq6HzgLOAn4IvAJ4Fjgk8CJwLqqemKSpcBbgZe2L0k+FVhEN/p2dZKLq2rdDPdFkiRJkjZqkyNYSV6Y5MtJ1ib5fpJ7knx/Bo95PDBRtC0HThhpP7+q7quqm4FVwBFJ9gF2q6rLq6qA907aZiLWRcDiNrp1DLCiqta2omoFXVEmSZIkSYMZ5xTBtwPLgMdW1W5V9Ziq2m3M+AV8KsnVSU5qbXtX1e0A7ederX0+cOvItqtb2/x2f3L7BttU1XrgbuCx08TaQJKTkqxMsnLNmjVj7pIkSZIkTW2c78G6FfhqGz3aXM+sqtuS7AWsSHLDNH0zRVtN076l2zzYUHU2cDbAokWLtmT/JEmSJOk/jFNg/TfgE0k+B9w30VhV/2tTG1bVbe3nnUk+TPclxXck2aeqbm+n/93Zuq8G9hvZfAFwW2tfMEX76Dark8wBdgfWtvbnTtrms2PsqyRJkiRtsXFOETwd+BGwM/CYkdu0kjwqyWMm7gNLgK8CF9Odckj7+dF2/2JgaZsZcH/gQODKdhrhPUmOatdXvXLSNhOxXgxc1kbaLgGWJNmjzVK4pLVJkiRJ0mDGGcGaW1VLtiD23sCH24zqc4APVNU/JbkKuDDJicC3gJcAVNV1SS4EvgasB05uMwgCvBo4F9iFbvbAT7b29wDnJVlFN3K1tMVam+TNwFWt35uqau0W7IMkSZIkjW2cAuvTSZZU1ac2J3BVfQP4xSnavwss3sg2p9ONmE1uXwkcOkX7vbQCbYp15wDnbE7OkiRJkjQT45wieDLwT0l+3NM07ZIkSZK0XRrni4Y3eb2VJEmSJGmMAivJs6dqr6rP95+OJEmSNDtcetkBY/VbfPTXB85EDyXjXIP1hyP3d6abav1q4OhBMpIkSZKkWWqcUwR/bXQ5yX7AXwyWkSRJkiTNUuNMcjHZaqaY0U+SJEmSHu7GuQbrb4Bqi48ADgO+MmRSkiRJkjQbjXMN1sqR++uBD1bVvwyUjyRJkiTNWuMUWBcB91bV/QBJdkiya1X9aNjUJEmSJGl2GecarEuBXUaWdwE+PUw6kiRJkjR7jVNg7VxVP5hYaPd3HS4lSZIkSZqdximwfpjk6RMLSQ4HfjxcSpIkSZI0O41zDdbrgP+d5La2vA/w0uFSkiRJkqTZaZwvGr4qyUHAk4AAN1TVTwfPTJIkSZJmmXFGsGgF1VcHzkWSJEmSZrVxrsGSJEmSJI3BAkuSJEmSerLJAiudlyf5H235cUmOGD41SZIkSZpdxhnBOhP4JeBlbfke4J2DZSRJkiRJs9Q4k1wcWVVPT/JlgKpal2THgfOSJEmSpFlnnBGsnybZASiAJPOABwbNSpIkSZJmoXEKrHcAHwb2SnI68AXgzwbNSpIkSZJmoXG+aPj9Sa4GFtN90fAJVXVssMWpAAAgAElEQVT94JlJkiRJ0iyzyQIryVHAdVX1zrb8mCRHVtUVg2cnSZIkSbPIOKcIngX8YGT5h61NkiRJkjRinAIrVVUTC1X1AOPNPihJkiRJDyvjFFjfSPKaJI9st9cC3xg6MUmSJEmabcYpsF4F/Cfg28Bq4EjgpCGTkiRJkqTZaJxZBO8Elm6FXCRJkiRpVhtnFsF5wO8BC0f7V9XvDJeWJEmSJM0+45wi+FFgd+DTwMdHbmNJskOSLyf5WFuem2RFkpvazz1G+r4xyaokNyY5ZqT98CTXtnXvSJLWvlOSC1r7FUkWjmyzrD3GTUmWjZuvJEmSJG2pcQqsXavqDVV1YVX948RtMx7jtcDoFxOfAlxaVQcCl7ZlkhxCdyrik4FjgTOT7NC2OYvuuq8D2+3Y1n4isK6qngi8DXhrizUXOJXuerEjgFNHCzlJkiRJGsI4BdbHkvzqlgRPsgA4Dnj3SPPxwPJ2fzlwwkj7+VV1X1XdDKwCjkiyD7BbVV3epot/76RtJmJdBCxuo1vHACuqam1VrQNW8GBRJkmSJEmDGKfAei1dkXVvku8nuSfJ98eM/3bgvwEPjLTtXVW3A7Sfe7X2+cCtI/1Wt7b57f7k9g22qar1wN3AY6eJtYEkJyVZmWTlmjVrxtwlSZIkSZraJgusqnpMVT2iqnauqt3a8m6b2i7JC4E7q+rqMXPJVA8/TfuWbvNgQ9XZVbWoqhbNmzdvzDQlSZIkaWqbLLDSeXmSP2nL+yU5YozYzwRelOQW4Hzg6CTvA+5op/3Rft7Z+q8G9hvZfgFwW2tfMEX7BtskmUM3GcfaaWJJkiRJ0mDGOUXwTOCXgN9oyz8A3rmpjarqjVW1oKoW0k1ecVlVvRy4GJiY1W8Z3SyFtPalbWbA/ekms7iynUZ4T5Kj2vVVr5y0zUSsF7fHKOASYEmSPdrkFktamyRJkiQNZpPfgwUcWVVPT/JlgKpal2THGTzmGcCFSU4EvgW8pMW9LsmFwNeA9cDJVXV/2+bVwLnALsAn2w3gPcB5SVbRjVwtbbHWJnkzcFXr96aqWjuDnCVJkiRpk8YpsH7apksv+I8vHn5g+k02VFWfBT7b7n8XWLyRfqcDp0/RvhI4dIr2e2kF2hTrzgHO2Zw8JUmSJGkmxjlF8B3Ah4G9kpwOfAH4s0GzkiRJkqRZaJMjWFX1/iRX0406BTihqq7fxGaSJEmS9LCz0QIrydyRxTuBD46u85omSZIkSdrQdCNYV/Pgd0o9DljX7v8c3eQU+w+enSRJkvQw8vOfuWbsvt953mEDZqIttdFrsKpq/6p6At305r9WVXtW1WOBFwIf2loJSpIkSdJsMc4kF8+oqk9MLFTVJ4HnDJeSJEmSJM1O40zTfleSPwbeR3fK4MuB7w6alSRJkiTNQuOMYL0MmEc3VftHgL1amyRJkiRpxDjTtK8FXrsVcpEkSZI0gIWnfHzsvreccdyAmWz/ppum/e1V9bok/4fu1MANVNWLBs1MkiRJkmaZ6Uawzms//3JrJCJJkiRJs91GC6yqurrdXQn8uKoeAEiyA7DTVshNkiRJkmaVcSa5uBTYdWR5F+DTw6QjSZIkSbPXOAXWzlX1g4mFdn/XafpLkiRJ0sPSOAXWD5M8fWIhyeHAj4dLSZIkSZJmp3G+aPh1wP9Ocltb3gd46XApSZIkSdLsNM73YF2V5CDgSUCAG6rqp4NnJkmSJEmzzDgjWADPABa2/k9LQlW9d7CsJEmSJGkW2mSBleQ84ADgGuD+1lyABZYkSZIkjRhnBGsRcEhV1dDJSJIkSdJsNs4sgl8Ffn7oRCRJkiRpthtnBGtP4GtJrgTum2isqhcNlpUkSZIkzULjFFinDZ2EJEmSJG0Pxpmm/XNbIxFJkiRJmu02WmAluYdutsCfWQVUVe02WFaSJEmSNAtttMCqqsdszUQkSZIkabYbZxZBSZIkSdIYLLAkSZIkqScWWJIkSZLUEwssSZIkSerJYAVWkp2TXJnkK0muS/KnrX1ukhVJbmo/9xjZ5o1JViW5MckxI+2HJ7m2rXtHkrT2nZJc0NqvSLJwZJtl7TFuSrJsqP2UJEmSpAlDjmDdBxxdVb8IHAYcm+Qo4BTg0qo6ELi0LZPkEGAp8GTgWODMJDu0WGcBJwEHttuxrf1EYF1VPRF4G/DWFmsucCpwJHAEcOpoISdJkiRJQxiswKrOD9riI9utgOOB5a19OXBCu388cH5V3VdVNwOrgCOS7APsVlWXV1UB7520zUSsi4DFbXTrGGBFVa2tqnXACh4syiRJkiRpEINeg5VkhyTXAHfSFTxXAHtX1e0A7ederft84NaRzVe3tvnt/uT2DbapqvXA3cBjp4k1Ob+TkqxMsnLNmjUz2VVJkiRJGrbAqqr7q+owYAHdaNSh03TPVCGmad/SbUbzO7uqFlXVonnz5k2TmiRJkiRt2laZRbCqvgd8lu40vTvaaX+0n3e2bquB/UY2WwDc1toXTNG+wTZJ5gC7A2uniSVJkiRJgxlyFsF5SX6u3d8FeD5wA3AxMDGr3zLgo+3+xcDSNjPg/nSTWVzZTiO8J8lR7fqqV07aZiLWi4HL2nValwBLkuzRJrdY0tokSZIkaTBzBoy9D7C8zQT4CODCqvpYksuBC5OcCHwLeAlAVV2X5ELga8B64OSqur/FejVwLrAL8Ml2A3gPcF6SVXQjV0tbrLVJ3gxc1fq9qarWDrivkiRJkjRcgVVV/wY8bYr27wKLN7LN6cDpU7SvBH7m+q2qupdWoE2x7hzgnM3LWpIkSZK23Fa5BkuSJEmSHg4ssCRJkiSpJxZYkiRJktQTCyxJkiRJ6okFliRJkiT1xAJLkiRJknpigSVJkiRJPbHAkiRJkqSeWGBJkiRJUk8ssCRJkiSpJxZYkiRJktQTCyxJkiRJ6okFliRJkiT1xAJLkiRJknpigSVJkiRJPbHAkiRJkqSeWGBJkiRJUk8ssCRJkiSpJxZYkiRJktQTCyxJkiRJ6okFliRJkiT1xAJLkiRJknpigSVJkiRJPbHAkiRJkqSeWGBJkiRJUk/mbOsEJEmSJM1OC0/5+Fj9bjnjuIEzeehwBEuSJEmSemKBJUmSJEk98RRBSZIkSQ8dp+2+GX3vHi6PLeQIliRJkiT1xAJLkiRJknoyWIGVZL8kn0lyfZLrkry2tc9NsiLJTe3nHiPbvDHJqiQ3JjlmpP3wJNe2de9Ikta+U5ILWvsVSRaObLOsPcZNSZYNtZ+SJEmSNGHIEaz1wOur6mDgKODkJIcApwCXVtWBwKVtmbZuKfBk4FjgzCQ7tFhnAScBB7bbsa39RGBdVT0ReBvw1hZrLnAqcCRwBHDqaCEnSZIkSUMYrMCqqtur6kvt/j3A9cB84Hhgeeu2HDih3T8eOL+q7quqm4FVwBFJ9gF2q6rLq6qA907aZiLWRcDiNrp1DLCiqtZW1TpgBQ8WZZIkSZI0iK1yDVY7de9pwBXA3lV1O3RFGLBX6zYfuHVks9WtbX67P7l9g22qaj1wN/DYaWJNzuukJCuTrFyzZs2W76AkSZIksRUKrCSPBv4ReF1VfX+6rlO01TTtW7rNgw1VZ1fVoqpaNG/evGlSkyRJkqRNG7TASvJIuuLq/VX1odZ8Rzvtj/bzzta+GthvZPMFwG2tfcEU7Rtsk2QOsDuwdppYkiRJkjSYIWcRDPAe4Pqq+l8jqy4GJmb1WwZ8dKR9aZsZcH+6ySyubKcR3pPkqBbzlZO2mYj1YuCydp3WJcCSJHu0yS2WtDZJkiRJGsycAWM/E3gFcG2Sa1rbHwFnABcmORH4FvASgKq6LsmFwNfoZiA8uarub9u9GjgX2AX4ZLtBV8Cdl2QV3cjV0hZrbZI3A1e1fm+qqrVD7agkSZIkwYAFVlV9gamvhQJYvJFtTgdOn6J9JXDoFO330gq0KdadA5wzbr6SJEmSNFNbZRZBSZIkSXo4sMCSJEmSpJ5YYEmSJElSTyywJEmSJKknFliSJEmS1BMLLEmSJEnqiQWWJEmSJPXEAkuSJEmSemKBJUmSJEk9scCSJEmSpJ5YYEmSJElSTyywJEmSJKknFliSJEmS1BMLLEmSJEnqiQWWJEmSJPXEAkuSJEmSemKBJUmSJEk9scCSJEmSpJ5YYEmSJElSTyywJEmSJKknFliSJEmS1BMLLEmSJEnqiQWWJEmSJPXEAkuSJEmSemKBJUmSJEk9scCSJEmSpJ5YYEmSJElSTyywJEmSJKknFliSJEmS1BMLLEmSJEnqyWAFVpJzktyZ5KsjbXOTrEhyU/u5x8i6NyZZleTGJMeMtB+e5Nq27h1J0tp3SnJBa78iycKRbZa1x7gpybKh9lGSJEmSRg05gnUucOyktlOAS6vqQODStkySQ4ClwJPbNmcm2aFtcxZwEnBgu03EPBFYV1VPBN4GvLXFmgucChwJHAGcOlrISZIkSdJQBiuwqurzwNpJzccDy9v95cAJI+3nV9V9VXUzsAo4Isk+wG5VdXlVFfDeSdtMxLoIWNxGt44BVlTV2qpaB6zgZws9SZIkSerd1r4Ga++quh2g/dyrtc8Hbh3pt7q1zW/3J7dvsE1VrQfuBh47TayfkeSkJCuTrFyzZs0MdkuSJEmSHjqTXGSKtpqmfUu32bCx6uyqWlRVi+bNmzdWopIkSZK0MVu7wLqjnfZH+3lna18N7DfSbwFwW2tfMEX7BtskmQPsTndK4sZiSZIkSdKgtnaBdTEwMavfMuCjI+1L28yA+9NNZnFlO43wniRHteurXjlpm4lYLwYua9dpXQIsSbJHm9xiSWuTJEmSpEHNGSpwkg8CzwX2TLKabma/M4ALk5wIfAt4CUBVXZfkQuBrwHrg5Kq6v4V6Nd2MhLsAn2w3gPcA5yVZRTdytbTFWpvkzcBVrd+bqmryZBuSJEmS1LvBCqyqetlGVi3eSP/TgdOnaF8JHDpF+720Am2KdecA54ydrCRJkiT14KEyyYUkSZIkzXoWWJIkSZLUEwssSZIkSeqJBZYkSZIk9cQCS5IkSZJ6YoElSZIkST2xwJIkSZKknlhgSZIkSVJPLLAkSZIkqScWWJIkSZLUEwssSZIkSeqJBZYkSZIk9cQCS5IkSZJ6YoElSZIkST2xwJIkSZKknlhgSZIkSVJPLLAkSZIkqScWWJIkSZLUEwssSZIkSeqJBZYkSZIk9cQCS5IkSZJ6YoElSZIkST2xwJIkSZKknlhgSZIkSVJPLLAkSZIkqScWWJIkSZLUEwssSZIkSeqJBZYkSZIk9WTOtk5AkiRJkob2lOVPGbvvtcuu3eLHcQRLkiRJknqyXRdYSY5NcmOSVUlO2db5SJIkSdq+bbcFVpIdgHcCLwAOAV6W5JBtm5UkSZKk7dl2W2ABRwCrquobVfUT4Hzg+G2ckyRJkqTtWKpqW+cwiCQvBo6tqt9ty68Ajqyq/zLS5yTgpLb4JODGMcPvCdzVY7qzMe5synWouLMp16HizqZch4prrrMr7mzKdai4synXoeLOplyHijubch0q7mzKdai4synXoeJuTszHV9W8TXXanmcRzBRtG1STVXU2cPZmB05WVtWiLU1se4g7m3IdKu5synWouLMp16Himuvsijubch0q7mzKdai4synXoeLOplyHijubch0q7mzKdai4Q8Tcnk8RXA3sN7K8ALhtG+UiSZIk6WFgey6wrgIOTLJ/kh2BpcDF2zgnSZIkSdux7fYUwapan+S/AJcAOwDnVNV1PYXf7NMKt8O4synXoeLOplyHijubch0qrrnOrrizKdeh4s6mXIeKO5tyHSrubMp1qLizKdeh4s6mXIeK23vM7XaSC0mSJEna2rbnUwQlSZIkaauywJIkSZKknlhgSZIkSVJPLLAehpJM9R1hD9m4Q5hlue4xQMwd+445EnvWHF+z6ThQx9cMkuywrXPY1gZ6P3jYP69DGOrvzRB/G4c0m/6Gzaa4D9XfWwusGUryi0kOSfILPcYc6sBekGR3ulkV+4y7f5I9gd17jvu8JE/tOea+SXYDHtln3EmP0dvrl+Ro4Mwk83uM+SvA77RjoTdDPbdJfiHJbtXjjDwDHrN7Jhns2GqP8bD5AzUqyX7tA1Xvufa9/0O8d7W4i5LsW1X3Jxnk73ffx9cAz23vx8FQz+sQnw9a3MH/ydDXYwz496b3v40jsR/yn5GGej8c8O94758/B/y97eX92wJrBpK8EDgPeAPw+iTze3qRd2vx+zxgXkSX61nAf01ybE9xjwM+CLwLeF37gDnjN+YkS4B3A48eaZtR3PZ6fQD4EPAHSfafUZIPxn1Okv+a5KVJdu+rEEhyDPAPwBG0L82e6THR/tidC6yqqrtnmuNI3KGe2yXAR4BnteUZvzkPeMyeALwDeNxMY02K+4wkL0nytCQ793h8PS/JHwP09QcqyVOTvCDJE5LsNPMs/yPuCcCFwPnAn7TjbaYxX5Tk7fAf+9/LH/4h3rtajIXA/wE+lGRBVT3Q02t2WJJfbR+Adq2q6uF9ZqjndojjYCHDPK+DfD5I8mvAmwcohJ+e5Pgkj+/xOBjq780QfxuHOmZ7/3szxO9BizvU3/HeP38O+Hvb3/t3VXnbghvweODfgKcBe9O9icwHHjXDuP8XcA/wgrb8iB5yfRzwFeBQ4EnAHwCfA46fYdwlwJeBZwC/SPdBeN8e8n0OcANwdFt+FN13tu04g5iLga+1PJ8NvAc4rodcfw24BvifwPuA54+sywzivgj4EnAQ8Ir2GHNnEC/tOXw38IrWNhfYFzhghs/BUM/txPH1GeAfZhpv4GP2KOBG4LlTrNvi32HgBcC17Tm9GPhPPeQaYCfg48APgbeMrHvkDOK+sOX6Ebo/0sdPPN4M892zxT0KeAqwDPgo8LIZxDwCuBVYB3xgpH2HGeba+3vXpPjvpPtbcxXwhB7ivag9t+8G/hJ4G7DnTI7bAZ/b3o+DAZ/XoT4fHNPev54/xbqZ/r35d7oP7ecCfwPss6XHAcP+ven1b+PAx2zvf2+G+j1guL/jg3z+bLH7/r3t9f3bEawt9xhgTVV9GbgX+GW6/16fleRlWxIwyQF0B997gfcl+dXqpyp/NHBXVX21qm4ELqd7I1mW5DkziHsQ8EdVdRVwG3Aw8BdJ/r8ki2cQd1HL7/L2H5R30/2n5k9nEPepwDur6itV9Xm6X8ilSR6xpf+dSLIr8Erg96rqD4FvAk9OclCSuVUz+g/gUcAbquoGug/WVwJPb4+72TGrsx64GfhGkkcBnwDeCrw7yWu2ME/o3jj7fm6PBv4O+K2qeh7d8/ryGeQ44UkMc8weAFxcVZ9Nd+rGy5L8epJ9tvR3OMlRdIX771bVicC3gQOS7JJk59Zns5/fdizcBywHTgEOTfLXbd1PNzdey+Nw4C/oPkydQPcB6OUTj7clMUf8lK54vaaqJgq4c4D/PIP/hM4FXlNVewAHJ/lgy3Wm/7k+gv7fu0gyJ8kc4IEW8wLg3CT/d/vv8JbE3AX4DWBZVf0u8DHgmcBfJtmrqh7YwnT3YJjndj09HwftParX57V5FP1/Pvj/2zv36L2mM49/nkQuBEGk1CoJlQsySJAUzUhLVNGpW91qWSEE06EoWhq3GNSSVITGJFKTVlzLaMeoS6SDpK1bUreqYaZ02jU1o+M21WGN2PPHs09+J6fvZe/znpP3t5Pnu9ZZ7zn77Pd7nvPsZz/7vs8uqE+81Dn3sIhs6ke1h4nIIF/elB0Z+TxwrnPuSC/nW8BsEdmyjB3UXN6Mp8Ky0WMI9dhsHXWkyvOBR+V1JI9BVFz/FJG+NeXbPajQf1sDqySccy8AfUXkp6ixzwfOBO4BviQiw0rQ/jcw2zn3FeAk4HYROahYQYs1dufci8A7IjLfO7ovAP8KPAYMLyFnxjvHOXe/b2gsQDP5tWiF6HARGVyyAjgLeBDtlbkb7e24Dvg98FcislEJHVwD3Cke6PsPdM595AumjWLlBBzqmPcRkY8DRwGT0ErrDZ1UUpxzFzjnFvt0f9cfp/h7ZSs+mcxXoQ35ecAU4DzgKCk/5/g7qIOjQt2+DhzrnHvWX98CjMg9oxScc9d5mx1IBTabi/susNKf34bawQHAj0Rk65Jp9hvgNOfcEyKyBTpCdLSX90IpOR01J3N/YEfUb40QkR+IyG2+QI2df/8WMMc594y/vgYYLBWsj3A6teg9dIpJdv0YWmHbDUr5xAfQgh60cjZSRO7w91Z6fZeR9WpgMVrxq8R3ed4PfYV1GTDGOTcTrbzeivqgMpVLB2yJ9oLjnHsEHQ14Dzi1bGXVOfcgsNRfVqnbt4H/RX1Bx3YgIuJ91Ieepyq9ZmVuHxFZRnX1gz8AvwaGisiu6PSoS4BZwDel5DpV/3590co/zrkVwI1oT/65viFehhPUJ36LCssb59x0XzYKFZWNzrn7gZ/6yyptdk6V5Y3nfBv4AJ0xU4k/9DzXoD6rynIc59yvgLdFZF5V9U/n3Eqfb5dSbb6dCSyhqrqn62A4bV07gMnAV4Azc2Hbo3NrxV8PQYfZh0Xw9gMG+PP+ufBD0OmCB/vrscCGZWQFRqIVv7uAu3zYfl7W4GHwHO8Z/jp7761ycXZCe1U2iuAdAWxRCLugoOsx3vBjdXBGg3ujgHv8+XGo0w8aBvbp1d+f74H2oC0GLvdhw71NHFzSvlbTrT8fAPwMOLEk51dzYXPRwnq3XNgCYMcy6ZWXsyLdDshdZ/Y1DngN+EzM+7eSFdiyQ5vth59Sh64D+DVagTotF2cWOsIZI28/tGDLh03L2cVEtCDZtQRvv9z1BsBV/vwotGL9wxKcme/awP/2R3stfw6M8GGfLL5TaJr5643QNRezc2Fj0UpFqD+YBJxMzh/k8nFfYDlasTwC7cVfP5A3y2Nn5cLOAc7OXUf5rgLv6bl8MBm4EpgAvIJWsp4nvrzJ3vsg4Ceor52Jlg/7AYsi7aCR/+5boW6zcmwwWlGf04Ed5P1BH/97IHBFh3ptpIMdUH/baf1goD/fFngA9TUn+7C/9PL+RWSa5e1gV3Qq25H+WtBZFDeT85MldbAA+C8qLm9yaVdJ2cjqZUMnNjuJgp/x4aXLmxxnlg8GoDOdSvvDAu/pDe51Uo4X/ff2aIPlTkrWPxvJik4X7TTfZrx5/30hHdQ9V/0vJvK6fKBD/G8AU9Gejrn49RBob+0N/vyLwOMEzrP18W9BC7b9gY19eOZEDkUrwzcCjwBDS8h6LTDe3+tPT8E3Ba20rFdCB8vQlv1EeiqZmcyHoYV20Lxor4N/R0dCtincy1cID0d7FzYtoYPrfFj27iPRod9TgReA0SXS60Afth7wNXQqVxbvu0RUrJvo9tP5tPH3vtUB5w1og3ADtId9BfAxbwcrgK3LpherF04jKtDtZAqFD1rR/F6WRzqQtU8DmcvYbCZrtl5yDDrqtCgX70pyjruEDhq+K1owfa4E7w8y3aKNoIXAdLSXfZq3kys6SS+0ciLexgYBR3p72KQT+0JH2xaijdhNgC+jPjHEHxyIri/4a7RyOjd3L+9j3kVnEgRVVpvlsdz9zCcG+64GvJn/muD1eTvwDnCoj/t1YNuSabY5sBfauLowF+8+KvAHrO6/OtFtpoOJ6BqRG9EKaqwdNCxr0HLxbuDtDvTarAy7PrM3OqsfZH5mS3R0Px/vLmByCGcjXv/+B6HTRI/Kxbs3lLeFbvsB9wNPU3F5Q48v77Rs/LPytqTNtvIzpcqbAuer9NQ1R1HSH7aT1d/vpBzP0mtY4d6GuTSbQmD9s4GsmQ7Wo7N8W+Sdn7fb3HmU/171v5jI6/IBnA1c7M8HAn/rM+XuaGX9AXTI89mIzLg7OiVjHDr951Hg0gZO5Ca0kbVzh7LumfGilalnQzlb8M7O8fZFp0EsR4dtQzgHo059JtpDMqv4/v48lreZrHuhU2OHeZ0+EeE4iun1GDADdW67oKNYJ6OjAcuB7avSrQ//lE+zoAZGE845wFgf9m3gcuAhYKcK0quPt62tK9DtannBxxmLFkrDqrItL+9ZkbbVyA4uQ9eejAfeBM5FHf1yYFSHOhheiHcY2tu8TQe8l6GVnRPQkcFDfNzhIfptIevWuTjz0V7Wpwn3iY3SbFgurTZA/eEiz9t2FA9dZP0zYN/cM5aiFZS8j5mEVmCC8kKbPJbPt1G+qwXvtehoxbHA3rm4QZsbNEmzGRQqDejGAb8ohpfNYxXq9nLPv6e3g4WRdtBK1v7AMYV0C9VrU15/fwQ6stBp/eAxbwebF+Id7tMrtMHSyA4uRkfbDkQ355ju7fZXIbztdODjzKTa8iZvX3vSedlYLG+jbJYWfqYQL7i8acK5DB0REmB9Iv1hO1k9b9lyvJhe3y7agY8XXP9sIetotPF+NOXybTPeHQrxov33qv/G/mFdPdDevgeAkf56ADo0eW0uzo4UnF8bzsOBhbnrU1FHeRI9ldUJ3ghiGkLNZL0+F+f4YsbvlBctpGbEGiI67WFjtHJ6uc+UwwtxLiRiCkQLWa/LxbkF2KWC9JqGFviHoIXHHTHpFZpmPjx2ilEjzr8rxAueuhWRXosq0u1J5KYQoJXMoN6pEFnREYFLYmy2gayneVlP8dfbow3t84mbBtPOHwzwtvYicRXVZrxT0AJ1Jx8evAtZG1n7oT2Lj6JTg4I7Glqk2baFOAMI3JEN3cUtG23u7+VbTK5Q9vc+X0LWEF97EfHTtxrxXgnMzMXp02GaZXZ7sufq4+M8QVx5E+IPDqhQt9/JxRkYagftbIvcyHaMXiN0MJpq6wd9gBPRtVKd+IPMDk701zuj63RnEufD2+ogS7MqdUtPZ1kVZWM+30b5AwL8DFpPCK4jteDcqxAvNh+E+sSoOlJEXjiO8I7HljrI5dtYfxiqg2j/veq/Zf60rhxoC34AOqzZD63cTaVn+9KB6E4rUzp3mjQAAAsiSURBVEvy7472Pkz21xegU8uW4Xso0VZ12znQgbI+Sfw85VDeKZG829CgkoQ2KK/wmbIPOqUttFcqVNap/jpq+9km6XVTIb0GkFtDVLVu2zmQGu0gNL3Ge5uNraC0zQs1yLo7gdPWIuxgn1i+QB1khcmu+HVNFci7FPhUDbJO9GETiev9DUmzCcCQCM5V60wK9+YBE/x5lA4i8tgJNfA+FcsbmGaZ/xpK2IhFjP8eXINug8vcQFn7elmDbCuSdzyRU4si0msk1fmDaP8VYQfjiWtcxvjwof5eVWVjbL4N9TPja+Dci4h6TATvqtlONdhBaH0u2H8Tt49ALeVCo8N2EWwC0Y/D3Y9OrVuAznu+Ga00HCQio51z76PrDIK3NhaR8SKyt4js4px7Gh2CnyYiP0ad5lR0Ws3+oDvEOOder0jWe9EtPqvWwb3odpkxvD/2vH8vIqOye865J9DFhL9HHf7D6BS8KmX9P/+stjIHpNeJ/jlZen3gdAvsKuVdJafzOb8Czlg7CE2vxWiFqqmcOd6ovFCDrEvwH/WuQNYTvayfDZU1kDfTwef8OzzjnHulInkXob20Vcu6n5d1qXPulwG8MWn2INoLHMo5F7hZREb78P4+ymBgA9Etsxf5XUBDdBCTx1Y2JSrP+4+RvLHlzRvOud8GyBrlDyrWwSofHsgZIutSL2tb2yrB+xC65jGENza9Xq7QH0T5r0g7eAidzlY178Now6jKsjE234b6mVtD/Ewk5/fRqd5Vy3qz6CdGQsrxWDsIrc8F+2+0Y6gt6ioXmqLTFtradtAz9/R5dA7uFuhc0t+iLd/d0XnAj6I9IP9JYc5mC+6D0HmnV6BDrzN9+EZoz3S2WcTXyS04XtOyrmHer6Hfh9ipEHc2Ov+55VB6SulVl7wppdcazgu9UtaSvBfVxBtqt5XLWkeahXL6/LDY54m2o2xNeHutr00pj9WhgzUsazf8TNf8QUq6rcO2YmQlws/UwdkbeCtIr16rg7bP7ZRgbTzQYf356JfXs/m9Z6E7o3zCX09E50IHzdFFe8bup2dB3Tbo7jTfLcQ7A92xJbQQrVzWLvCegX5ENZsPvSlaIIxd29KrRnlTSq81mRd6q6zJ8HYhL9ThDzLOUf46+zB40OLtLuSxXum/6kivGnWwJmVd1/xMSrrtRtlYys/UwdlF3hT8d8e8LZ9ZBcnacqCL0/dAv1VxB3Be4f430G0lg76HUPjvIHRr5TG5sKuBXwKz/PX66IL7tosK65K1i7znobtCZd/SabsQNqX0qkvelNKri3mh18iaIm+X8kId/uA8dJv//j5e6K5rSfnalPJYHTrooqxrvZ9JSbd15a9AWaP8TB2cvYC36vTqVToIenZVRKkf6Halz6FDg9ejHzB7DTg/F2c42gKO2alkZO78EuB3wJfQxXTXA9uh3/TYxMdpy12jrN3mnUdPz0K7BavJpFdd8qaUXr0gL3Rd1tR4a5S1m/7gxtB80EvyWNf9Vx3pVZcOeoGsa62fSUm3ddhWJG+wn6mDs5fwpuS/o3iDn18HaWoHuhPLS/R8H2g++l2ErdBh5OloK3gK+q2B0A+5HQz8CbgjF/ZVz3cVPXOff4TfyaaLsibDm1J6JaiDZHSbkqyp8a7leSH0Y9KWxxLSQUqyJugPktFtL5I15CPCvcV3dc0n9iJZg3hjjkrJUj18QkzJXQ8F7vPn26FbmM4l7oOZg9DvLExDh0pvaxLvOHR3laAtTOuQNTXelNIrJR2kptvEZE2G1/JCerwp5TGzg7T8QYK6NVkT4k1J1tijcsIUD3Tx28a580+gH97Lvo8wDP1wZvD3PPz/tkK/ubA5cBdwa+7eeujHF58k8OvbNcuaDG9K6ZWgDpLRbUqypsZreSFJ3pTymNlBWv4gGd2arGnxpiRr7FELacqHV/iGwBJ/fRw6lzR6oXGBdwhwN7DIX49B54O2/YhwF2RNhjel9EpQB8noNiVZU+O1vJAkb0p5zOwgLX+QjG5N1rR4U5I15MgWoBkKEJGF6MfR9keHGZ+vgHNzdAefvdCvWu/jnPuPCngXUrGsqfGmlF6eeyEJ6KAu3pTyQo2yJsNreSE93pTyWF28icmajD/wvAtJR7eVc9bFm5KsdfGmJGtL1Nl6S/FAP0jWH/g3dCHciIr5zwJep4I5n3XJmhJvSumVmg5S0m1KsqbKa3khHd460iwlHaQka13pZXZgsqbGm5KsQc9dEw9J8UB3Fun4S84Fzk3Rr0Tv3NtlTY03pfRKSQep6TYxWZPhtbyQHm9KeczsIC1/kKBuTdaEeFOStdVhUwSbQETE1aAcERnonHu/Ys66ZE2GN6X08rwp6SAZ3aYka2q8lheS5E0pj5kdpOUPktGtyZoWb0qytnyeNbAMBoPBYDAYDAaDoRr06bYABoPBYDAYDAaDwbC2wBpYBoPBYDAYDAaDwVARrIFlMBgMBoPBYDAYDBXBGlgGg8FgSBIicoqIbFryv3uLyMTeJJPBYDAY1g5YA8tgMBgMtUNEDhURJyKjK+K7CHjTOfdWif+OBU4AHg+IO0NE9msQPklE/qkKmZo9w2AwGAxpwnYRNBgMBkPtEJE7gY8DS5xzl3RZnI4hIpOAc5xzB3dbFoPBYDD0LtgIlsFgMBhqhYhsCOwNTAWOzoVPEpFHROQuEXlJRG4REfH3XhORS0VkhYg8n418icggEblJRJ4SkV+IyBd9eF8RudqHPycipzSR5TgReVJEnhGReSLS14f/UURm+ectEZGhPnyhiBzhzw/wci4DDstxNpNpioj8UETuFZFXReRvRORsH+dxEdms1TNEZE42SiYil4jIOblnviAiw1u9k8FgMBi6A2tgGQwGg6FuHAI84Jx7GXhTRMbl7o0FzgR2BLZDG2IZ/uCcGwfcAGSNi28CP3HO7QF8BrhaRAahjbd3fPgewMkism1eCBHZATgK2Ns5tyuwEviyvz0IWOGf9yhwceG/A4EbgS8AE4Etc7ebyQQwBjgWGA9cDvzJOTcW+DlwfMQzGqLNOxkMBoOhC7AGlsFgMBjqxjHA7f78dn+d4Unn3O+ccx8BzwDDc/f+wf8uz4XvD3xDRJ4BHgEGAtv48ON9+BPAEGBEQY59gd2Ap3y8fdFGHcBHwB3+fBHw6cJ/RwOvOudecTq3flHuXjOZAP7ZOfc/zrk3gHeAe33484V3bfeMZmj1TgaDwWDoAtbrtgAGg8FgWHshIkOAzwJjRMQBfQEnIuf5KB/koq9k9XLpgwbhAhzunPuXwnMEON0592ArcYDvOefODxC90QLlZouWm8k0gdXf76Pc9Uc0LoObPeNDVu8UHZh7dug7GQwGg2ENwEawDAaDwVAnjgC+75wb5pwb7pzbGniVPx8hCsWDwOm5tVpjc+GniUg/Hz4yN00vwxLgCBH5mI+zmYgM8/f6eFlBp/QtK/z3JWBbEfmkv86PwjWTKRatnvEaMM7zjwOy6Y+t3slgMBgMXYA1sAwGg8FQJ44B7imE3Y02YsrgMqAf8JyIvOCvARYALwIrfPg8CiNEzrkXgenAQyLyHLAY3dkQ4D1gJxFZjo64zSj8931gGnCf3+TiNwEyRaHNM+4GNvPTAE8DXg54J4PBYDB0AbZNu8FgMBjWeYjIH51zG3ZbjjxsK3iDwWBIEzaCZTAYDAaDwWAwGAwVwUawDAaDwWAwGAwGg6Ei2AiWwWAwGAwGg8FgMFQEa2AZDAaDwWAwGAwGQ0WwBpbBYDAYDAaDwWAwVARrYBkMBoPBYDAYDAZDRbAGlsFgMBgMBoPBYDBUhP8HU3TtHV5mPpMAAAAASUVORK5CYII=\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Visualisation\n", "import matplotlib.pyplot as plt\n", "\n", "plt.figure(figsize=(12, 6))\n", "incidence_par_annee.plot(kind='bar')\n", "plt.title('Incidence totale par année épidémique (1er sept - 31 août)')\n", "plt.xlabel('Année épidémique')\n", "plt.ylabel('Incidence cumulée')\n", "plt.xticks(rotation=45)\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.4" } }, "nbformat": 4, "nbformat_minor": 2 }