From 3f33d0f90976033dd11c836bb2ea33f4d9b0e177 Mon Sep 17 00:00:00 2001 From: 501a733bc90cd442546993dd22bc6c97 <501a733bc90cd442546993dd22bc6c97@app-learninglab.inria.fr> Date: Sat, 25 Nov 2023 17:45:53 +0000 Subject: [PATCH] no commit message --- .../analyse-syndrome-grippal-jupyter.ipynb | 2812 ++++++++--------- module3/exo2/varicelle.csv | 1722 ++++++++++ 2 files changed, 3114 insertions(+), 1420 deletions(-) create mode 100644 module3/exo2/varicelle.csv diff --git a/module3/exo2/analyse-syndrome-grippal-jupyter.ipynb b/module3/exo2/analyse-syndrome-grippal-jupyter.ipynb index 9bcc54c..a53685c 100644 --- a/module3/exo2/analyse-syndrome-grippal-jupyter.ipynb +++ b/module3/exo2/analyse-syndrome-grippal-jupyter.ipynb @@ -9,10 +9,8 @@ }, { "cell_type": "code", - "execution_count": 1, - "metadata": { - "collapsed": false - }, + "execution_count": 18, + "metadata": {}, "outputs": [], "source": [ "%matplotlib inline\n", @@ -30,13 +28,11 @@ }, { "cell_type": "code", - "execution_count": 2, - "metadata": { - "collapsed": true - }, + "execution_count": 19, + "metadata": {}, "outputs": [], "source": [ - "data_url = \"http://www.sentiweb.fr/datasets/incidence-PAY-3.csv\"" + "data_url = \"http://www.sentiweb.fr/datasets/incidence-PAY-7.csv?v=8nhxe\"" ] }, { @@ -63,27 +59,39 @@ }, { "cell_type": "code", - "execution_count": 3, - "metadata": { - "collapsed": false - }, + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "data_file = \"varicelle.csv\"\n", + "\n", + "import os\n", + "import urllib.request\n", + "if not os.path.exists(data_file):\n", + " urllib.request.urlretrieve(data_url, data_file)" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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1773 rows × 10 columns

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1720 rows × 10 columns

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" ], "text/plain": [ - " week indicator inc inc_low inc_up inc100 inc100_low \\\n", - "0 201842 3 7832 5145.0 10519.0 12 8.0 \n", - "1 201841 3 8048 5098.0 10998.0 12 8.0 \n", - "2 201840 3 7409 4717.0 10101.0 11 7.0 \n", - "3 201839 3 7174 4235.0 10113.0 11 7.0 \n", - "4 201838 3 6127 3482.0 8772.0 9 5.0 \n", - "5 201837 3 4644 2200.0 7088.0 7 3.0 \n", - "6 201836 3 3215 1349.0 5081.0 5 2.0 \n", - "7 201835 3 1506 239.0 2773.0 2 0.0 \n", - "8 201834 3 1368 116.0 2620.0 2 0.0 \n", - "9 201833 3 1962 5.0 3919.0 3 0.0 \n", - "10 201832 3 1839 183.0 3495.0 3 0.0 \n", - "11 201831 3 2048 242.0 3854.0 3 0.0 \n", - "12 201830 3 1951 202.0 3700.0 3 0.0 \n", - "13 201829 3 1951 252.0 3650.0 3 0.0 \n", - "14 201828 3 1654 52.0 3256.0 3 1.0 \n", - "15 201827 3 3269 1145.0 5393.0 5 2.0 \n", - "16 201826 3 3758 1493.0 6023.0 6 3.0 \n", - "17 201825 3 4580 2220.0 6940.0 7 3.0 \n", - "18 201824 3 3223 1351.0 5095.0 5 2.0 \n", - "19 201823 3 1207 136.0 2278.0 2 0.0 \n", - "20 201822 3 3202 1330.0 5074.0 5 2.0 \n", - "21 201821 3 2537 763.0 4311.0 4 1.0 \n", - "22 201820 3 2694 967.0 4421.0 4 1.0 \n", - "23 201819 3 1025 0.0 2098.0 2 0.0 \n", - "24 201818 3 3541 1416.0 5666.0 5 2.0 \n", - "25 201817 3 2573 1003.0 4143.0 4 2.0 \n", - "26 201816 3 4818 2724.0 6912.0 7 4.0 \n", - "27 201815 3 16311 12168.0 20454.0 25 19.0 \n", - "28 201814 3 22666 18092.0 27240.0 35 28.0 \n", - "29 201813 3 32680 25536.0 39824.0 50 39.0 \n", - "... ... ... ... ... ... ... ... \n", - "1743 198521 3 26096 19621.0 32571.0 47 35.0 \n", - "1744 198520 3 27896 20885.0 34907.0 51 38.0 \n", - "1745 198519 3 43154 32821.0 53487.0 78 59.0 \n", - "1746 198518 3 40555 29935.0 51175.0 74 55.0 \n", - "1747 198517 3 34053 24366.0 43740.0 62 44.0 \n", - "1748 198516 3 50362 36451.0 64273.0 91 66.0 \n", - "1749 198515 3 63881 45538.0 82224.0 116 83.0 \n", - "1750 198514 3 134545 114400.0 154690.0 244 207.0 \n", - "1751 198513 3 197206 176080.0 218332.0 357 319.0 \n", - "1752 198512 3 245240 223304.0 267176.0 445 405.0 \n", - "1753 198511 3 276205 252399.0 300011.0 501 458.0 \n", - "1754 198510 3 353231 326279.0 380183.0 640 591.0 \n", - "1755 198509 3 369895 341109.0 398681.0 670 618.0 \n", - "1756 198508 3 389886 359529.0 420243.0 707 652.0 \n", - "1757 198507 3 471852 432599.0 511105.0 855 784.0 \n", - "1758 198506 3 565825 518011.0 613639.0 1026 939.0 \n", - "1759 198505 3 637302 592795.0 681809.0 1155 1074.0 \n", - "1760 198504 3 424937 390794.0 459080.0 770 708.0 \n", - "1761 198503 3 213901 174689.0 253113.0 388 317.0 \n", - "1762 198502 3 97586 80949.0 114223.0 177 147.0 \n", - "1763 198501 3 85489 65918.0 105060.0 155 120.0 \n", - "1764 198452 3 84830 60602.0 109058.0 154 110.0 \n", - "1765 198451 3 101726 80242.0 123210.0 185 146.0 \n", - "1766 198450 3 123680 101401.0 145959.0 225 184.0 \n", - "1767 198449 3 101073 81684.0 120462.0 184 149.0 \n", - "1768 198448 3 78620 60634.0 96606.0 143 110.0 \n", - "1769 198447 3 72029 54274.0 89784.0 131 99.0 \n", - "1770 198446 3 87330 67686.0 106974.0 159 123.0 \n", - "1771 198445 3 135223 101414.0 169032.0 246 184.0 \n", - "1772 198444 3 68422 20056.0 116788.0 125 37.0 \n", + " week indicator inc inc_low inc_up inc100 inc100_low \\\n", + "0 202346 7 6089 2918 9260 9 4 \n", + "1 202345 7 5090 2713 7467 8 4 \n", + "2 202344 7 3688 1664 5712 6 3 \n", + "3 202343 7 3891 1675 6107 6 3 \n", + "4 202342 7 3968 1212 6724 6 2 \n", + "5 202341 7 3356 1764 4948 5 3 \n", + "6 202340 7 2845 1410 4280 4 2 \n", + "7 202339 7 1739 629 2849 3 1 \n", + "8 202338 7 1663 274 3052 3 1 \n", + "9 202337 7 1122 223 2021 2 1 \n", + "10 202336 7 726 10 1442 1 0 \n", + "11 202335 7 961 96 1826 1 0 \n", + "12 202334 7 1168 9 2327 2 0 \n", + "13 202333 7 3308 1184 5432 5 2 \n", + "14 202332 7 7996 1120 14872 12 2 \n", + "15 202331 7 3318 1398 5238 5 2 \n", + "16 202330 7 5821 3269 8373 9 5 \n", + "17 202329 7 13558 8297 18819 20 12 \n", + "18 202328 7 6700 4043 9357 10 6 \n", + "19 202327 7 7253 4599 9907 11 7 \n", + "20 202326 7 9192 6223 12161 14 10 \n", + "21 202325 7 11498 8257 14739 17 12 \n", + "22 202324 7 11115 7968 14262 17 12 \n", + "23 202323 7 12563 6134 18992 19 9 \n", + "24 202322 7 12184 8125 16243 18 12 \n", + "25 202321 7 11349 7598 15100 17 11 \n", + "26 202320 7 9000 4615 13385 14 7 \n", + "27 202319 7 9344 6091 12597 14 9 \n", + "28 202318 7 10671 7291 14051 16 11 \n", + "29 202317 7 9184 6162 12206 14 9 \n", + "... ... ... ... ... ... ... ... \n", + "1690 199126 7 17608 11304 23912 31 20 \n", + "1691 199125 7 16169 10700 21638 28 18 \n", + "1692 199124 7 16171 10071 22271 28 17 \n", + "1693 199123 7 11947 7671 16223 21 13 \n", + "1694 199122 7 15452 9953 20951 27 17 \n", + "1695 199121 7 14903 8975 20831 26 16 \n", + "1696 199120 7 19053 12742 25364 34 23 \n", + "1697 199119 7 16739 11246 22232 29 19 \n", + "1698 199118 7 21385 13882 28888 38 25 \n", + "1699 199117 7 13462 8877 18047 24 16 \n", + "1700 199116 7 14857 10068 19646 26 18 \n", + "1701 199115 7 13975 9781 18169 25 18 \n", + "1702 199114 7 12265 7684 16846 22 14 \n", + "1703 199113 7 9567 6041 13093 17 11 \n", + "1704 199112 7 10864 7331 14397 19 13 \n", + "1705 199111 7 15574 11184 19964 27 19 \n", + "1706 199110 7 16643 11372 21914 29 20 \n", + "1707 199109 7 13741 8780 18702 24 15 \n", + "1708 199108 7 13289 8813 17765 23 15 \n", + "1709 199107 7 12337 8077 16597 22 15 \n", + "1710 199106 7 10877 7013 14741 19 12 \n", + "1711 199105 7 10442 6544 14340 18 11 \n", + "1712 199104 7 7913 4563 11263 14 8 \n", + "1713 199103 7 15387 10484 20290 27 18 \n", + "1714 199102 7 16277 11046 21508 29 20 \n", + "1715 199101 7 15565 10271 20859 27 18 \n", + "1716 199052 7 19375 13295 25455 34 23 \n", + "1717 199051 7 19080 13807 24353 34 25 \n", + "1718 199050 7 11079 6660 15498 20 12 \n", + "1719 199049 7 1143 0 2610 2 0 \n", "\n", " inc100_up geo_insee geo_name \n", - "0 16.0 FR France \n", - "1 16.0 FR France \n", - "2 15.0 FR France \n", - "3 15.0 FR France \n", - "4 13.0 FR France \n", - "5 11.0 FR France \n", - "6 8.0 FR France \n", - "7 4.0 FR France \n", - "8 4.0 FR France \n", - "9 6.0 FR France \n", - "10 6.0 FR France \n", - "11 6.0 FR France \n", - "12 6.0 FR France \n", - "13 6.0 FR France \n", - "14 5.0 FR France \n", - "15 8.0 FR France \n", - "16 9.0 FR France \n", - "17 11.0 FR France \n", - "18 8.0 FR France \n", - "19 4.0 FR France \n", - "20 8.0 FR France \n", - "21 7.0 FR France \n", - "22 7.0 FR France \n", - "23 4.0 FR France \n", - "24 8.0 FR France \n", - "25 6.0 FR France \n", - "26 10.0 FR France \n", - "27 31.0 FR France \n", - "28 42.0 FR France \n", - "29 61.0 FR France \n", + "0 14 FR France \n", + "1 12 FR France \n", + "2 9 FR France \n", + "3 9 FR France \n", + "4 10 FR France \n", + "5 7 FR France \n", + "6 6 FR France \n", + "7 5 FR France \n", + "8 5 FR France \n", + "9 3 FR France \n", + "10 2 FR France \n", + "11 2 FR France \n", + "12 4 FR France \n", + "13 8 FR France \n", + "14 22 FR France \n", + "15 8 FR France \n", + "16 13 FR France \n", + "17 28 FR France \n", + "18 14 FR France \n", + "19 15 FR France \n", + "20 18 FR France \n", + "21 22 FR France \n", + "22 22 FR France \n", + "23 29 FR France \n", + "24 24 FR France \n", + "25 23 FR France \n", + "26 21 FR France \n", + "27 19 FR France \n", + "28 21 FR France \n", + "29 19 FR France \n", "... ... ... ... \n", - "1743 59.0 FR France \n", - "1744 64.0 FR France \n", - "1745 97.0 FR France \n", - "1746 93.0 FR France \n", - "1747 80.0 FR France \n", - "1748 116.0 FR France \n", - "1749 149.0 FR France \n", - "1750 281.0 FR France \n", - "1751 395.0 FR France \n", - "1752 485.0 FR France \n", - "1753 544.0 FR France \n", - "1754 689.0 FR France \n", - "1755 722.0 FR France \n", - "1756 762.0 FR France \n", - "1757 926.0 FR France \n", - "1758 1113.0 FR France \n", - "1759 1236.0 FR France \n", - "1760 832.0 FR France \n", - "1761 459.0 FR France \n", - "1762 207.0 FR France \n", - "1763 190.0 FR France \n", - "1764 198.0 FR France \n", - "1765 224.0 FR France \n", - "1766 266.0 FR France \n", - "1767 219.0 FR France \n", - "1768 176.0 FR France \n", - "1769 163.0 FR France \n", - "1770 195.0 FR France \n", - "1771 308.0 FR France \n", - "1772 213.0 FR France \n", + "1690 42 FR France \n", + "1691 38 FR France \n", + "1692 39 FR France \n", + "1693 29 FR France \n", + "1694 37 FR France \n", + "1695 36 FR France \n", + "1696 45 FR France \n", + "1697 39 FR France \n", + "1698 51 FR France \n", + "1699 32 FR France \n", + "1700 34 FR France \n", + "1701 32 FR France \n", + "1702 30 FR France \n", + "1703 23 FR France \n", + "1704 25 FR France \n", + "1705 35 FR France \n", + "1706 38 FR France \n", + "1707 33 FR France \n", + "1708 31 FR France \n", + "1709 29 FR France \n", + "1710 26 FR France \n", + "1711 25 FR France \n", + "1712 20 FR France \n", + "1713 36 FR France \n", + "1714 38 FR France \n", + "1715 36 FR France \n", + "1716 45 FR France \n", + "1717 43 FR France \n", + "1718 28 FR France \n", + "1719 5 FR France \n", "\n", - 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0201842378325145.010519.0128.016.020234676089291892609414FRFrance
1201841380485098.010998.0202345750902713746784128.016.0FRFrance
220184020234473688166457126374094717.010101.0117.015.09FRFrance
320183920234373891167561076371744235.010113.0117.015.09FRFrance
4201838361273482.08772.095.013.020234273968121267246210FRFrance
520183720234173356176449485346442200.07088.073.011.0FRFrance
6201836332151349.05081.052.08.02023407284514104280426FRFrance
720183520233971739629284931506239.02773.020.04.015FRFrance
820183420233871663274305231368116.02620.020.04.015FRFrance
9201833319625.03919.02023377112222320212130.06.0FRFrance
1020183231839183.03495.030.06.02023367726101442102FRFrance
1120183132048242.03854.030.06.02023357961961826102FRFrance
1220183031951202.03700.030.06.02023347116892327204FRFrance
1320182931951252.03650.030.06.02023337330811845432528FRFrance
142018283165452.03256.031.05.02023327799611201487212222FRFrance
15201827332691145.05393.0202331733181398523852.08.028FRFrance
16201826337581493.06023.063.09.020233075821326983739513FRFrance
17201825345802220.06940.020232973.011.013558829718819201228FRFrance
18201824332231351.05095.052.08.0202328767004043935710614FRFrance
1920182331207136.02278.020.04.0202327772534599990711715FRFrance
20201822332021330.05074.052.08.020232679192622312161141018FRFrance
2120182132537763.04311.041.07.0202325711498825714739171222FRFrance
2220182032694967.04421.041.07.0202324711115796814262171222FRFrance
23201819310250.02098.020.04.020232371256361341899219929FRFrance
24201818335411416.05666.052.08.0202322712184812516243181224FRFrance
25201817325731003.04143.042.06.0202321711349759815100171123FRFrance
26201816348182724.06912.020232074.010.0900046151338514721FRFrance
2720181531631112168.020454.02519.031.02023197934460911259714919FRFrance
2820181432266618092.027240.03528.042.0202318710671729114051161121FRFrance
2920181333268025536.039824.05039.061.02023177918461621220614919FRFrance
...
174319852132609619621.032571.04735.059.016901991267176081130423912312042FRFrance
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174719851733405324366.043740.06244.080.01694199122715452995320951271737FRFrance
174819851635036236451.064273.09166.0116.01695199121714903897520831261636FRFrance
174919851536388145538.082224.011683.0149.016961991207190531274225364342345FRFrance
17501985143134545114400.0154690.0244207.0281.016971991197167391124622232291939FRFrance
17511985133197206176080.0218332.0357319.0395.016981991187213851388228888382551FRFrance
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176819844837862060634.096606.0143110.0176.017151991017155651027120859271836FRFrance
176919844737202954274.089784.013199.0163.017161990527193751329525455342345FRFrance
177019844638733067686.0106974.0159123.0195.017171990517190801380724353342543FRFrance
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177219844436842220056.0116788.012537.0213.017191990497114302610205FRFrance
\n", - "

1772 rows × 10 columns

\n", + "

1720 rows × 10 columns

\n", "
" ], "text/plain": [ - " week indicator inc inc_low inc_up inc100 inc100_low \\\n", - "0 201842 3 7832 5145.0 10519.0 12 8.0 \n", - "1 201841 3 8048 5098.0 10998.0 12 8.0 \n", - "2 201840 3 7409 4717.0 10101.0 11 7.0 \n", - "3 201839 3 7174 4235.0 10113.0 11 7.0 \n", - "4 201838 3 6127 3482.0 8772.0 9 5.0 \n", - "5 201837 3 4644 2200.0 7088.0 7 3.0 \n", - "6 201836 3 3215 1349.0 5081.0 5 2.0 \n", - "7 201835 3 1506 239.0 2773.0 2 0.0 \n", - "8 201834 3 1368 116.0 2620.0 2 0.0 \n", - "9 201833 3 1962 5.0 3919.0 3 0.0 \n", - "10 201832 3 1839 183.0 3495.0 3 0.0 \n", - "11 201831 3 2048 242.0 3854.0 3 0.0 \n", - "12 201830 3 1951 202.0 3700.0 3 0.0 \n", - "13 201829 3 1951 252.0 3650.0 3 0.0 \n", - "14 201828 3 1654 52.0 3256.0 3 1.0 \n", - "15 201827 3 3269 1145.0 5393.0 5 2.0 \n", - "16 201826 3 3758 1493.0 6023.0 6 3.0 \n", - "17 201825 3 4580 2220.0 6940.0 7 3.0 \n", - "18 201824 3 3223 1351.0 5095.0 5 2.0 \n", - "19 201823 3 1207 136.0 2278.0 2 0.0 \n", - "20 201822 3 3202 1330.0 5074.0 5 2.0 \n", - "21 201821 3 2537 763.0 4311.0 4 1.0 \n", - "22 201820 3 2694 967.0 4421.0 4 1.0 \n", - "23 201819 3 1025 0.0 2098.0 2 0.0 \n", - "24 201818 3 3541 1416.0 5666.0 5 2.0 \n", - "25 201817 3 2573 1003.0 4143.0 4 2.0 \n", - "26 201816 3 4818 2724.0 6912.0 7 4.0 \n", - "27 201815 3 16311 12168.0 20454.0 25 19.0 \n", - "28 201814 3 22666 18092.0 27240.0 35 28.0 \n", - "29 201813 3 32680 25536.0 39824.0 50 39.0 \n", - "... ... ... ... ... ... ... ... \n", - "1743 198521 3 26096 19621.0 32571.0 47 35.0 \n", - "1744 198520 3 27896 20885.0 34907.0 51 38.0 \n", - "1745 198519 3 43154 32821.0 53487.0 78 59.0 \n", - "1746 198518 3 40555 29935.0 51175.0 74 55.0 \n", - "1747 198517 3 34053 24366.0 43740.0 62 44.0 \n", - "1748 198516 3 50362 36451.0 64273.0 91 66.0 \n", - "1749 198515 3 63881 45538.0 82224.0 116 83.0 \n", - "1750 198514 3 134545 114400.0 154690.0 244 207.0 \n", - "1751 198513 3 197206 176080.0 218332.0 357 319.0 \n", - "1752 198512 3 245240 223304.0 267176.0 445 405.0 \n", - "1753 198511 3 276205 252399.0 300011.0 501 458.0 \n", - "1754 198510 3 353231 326279.0 380183.0 640 591.0 \n", - "1755 198509 3 369895 341109.0 398681.0 670 618.0 \n", - "1756 198508 3 389886 359529.0 420243.0 707 652.0 \n", - "1757 198507 3 471852 432599.0 511105.0 855 784.0 \n", - "1758 198506 3 565825 518011.0 613639.0 1026 939.0 \n", - "1759 198505 3 637302 592795.0 681809.0 1155 1074.0 \n", - "1760 198504 3 424937 390794.0 459080.0 770 708.0 \n", - "1761 198503 3 213901 174689.0 253113.0 388 317.0 \n", - "1762 198502 3 97586 80949.0 114223.0 177 147.0 \n", - "1763 198501 3 85489 65918.0 105060.0 155 120.0 \n", - "1764 198452 3 84830 60602.0 109058.0 154 110.0 \n", - "1765 198451 3 101726 80242.0 123210.0 185 146.0 \n", - "1766 198450 3 123680 101401.0 145959.0 225 184.0 \n", - "1767 198449 3 101073 81684.0 120462.0 184 149.0 \n", - "1768 198448 3 78620 60634.0 96606.0 143 110.0 \n", - "1769 198447 3 72029 54274.0 89784.0 131 99.0 \n", - "1770 198446 3 87330 67686.0 106974.0 159 123.0 \n", - "1771 198445 3 135223 101414.0 169032.0 246 184.0 \n", - "1772 198444 3 68422 20056.0 116788.0 125 37.0 \n", + " week indicator inc inc_low inc_up inc100 inc100_low \\\n", + "0 202346 7 6089 2918 9260 9 4 \n", + "1 202345 7 5090 2713 7467 8 4 \n", + "2 202344 7 3688 1664 5712 6 3 \n", + "3 202343 7 3891 1675 6107 6 3 \n", + "4 202342 7 3968 1212 6724 6 2 \n", + "5 202341 7 3356 1764 4948 5 3 \n", + "6 202340 7 2845 1410 4280 4 2 \n", + "7 202339 7 1739 629 2849 3 1 \n", + "8 202338 7 1663 274 3052 3 1 \n", + "9 202337 7 1122 223 2021 2 1 \n", + "10 202336 7 726 10 1442 1 0 \n", + "11 202335 7 961 96 1826 1 0 \n", + "12 202334 7 1168 9 2327 2 0 \n", + "13 202333 7 3308 1184 5432 5 2 \n", + "14 202332 7 7996 1120 14872 12 2 \n", + "15 202331 7 3318 1398 5238 5 2 \n", + "16 202330 7 5821 3269 8373 9 5 \n", + "17 202329 7 13558 8297 18819 20 12 \n", + "18 202328 7 6700 4043 9357 10 6 \n", + "19 202327 7 7253 4599 9907 11 7 \n", + "20 202326 7 9192 6223 12161 14 10 \n", + "21 202325 7 11498 8257 14739 17 12 \n", + "22 202324 7 11115 7968 14262 17 12 \n", + "23 202323 7 12563 6134 18992 19 9 \n", + "24 202322 7 12184 8125 16243 18 12 \n", + "25 202321 7 11349 7598 15100 17 11 \n", + "26 202320 7 9000 4615 13385 14 7 \n", + "27 202319 7 9344 6091 12597 14 9 \n", + "28 202318 7 10671 7291 14051 16 11 \n", + "29 202317 7 9184 6162 12206 14 9 \n", + "... ... ... ... ... ... ... ... \n", + "1690 199126 7 17608 11304 23912 31 20 \n", + "1691 199125 7 16169 10700 21638 28 18 \n", + "1692 199124 7 16171 10071 22271 28 17 \n", + "1693 199123 7 11947 7671 16223 21 13 \n", + "1694 199122 7 15452 9953 20951 27 17 \n", + "1695 199121 7 14903 8975 20831 26 16 \n", + "1696 199120 7 19053 12742 25364 34 23 \n", + "1697 199119 7 16739 11246 22232 29 19 \n", + "1698 199118 7 21385 13882 28888 38 25 \n", + "1699 199117 7 13462 8877 18047 24 16 \n", + "1700 199116 7 14857 10068 19646 26 18 \n", + "1701 199115 7 13975 9781 18169 25 18 \n", + "1702 199114 7 12265 7684 16846 22 14 \n", + "1703 199113 7 9567 6041 13093 17 11 \n", + "1704 199112 7 10864 7331 14397 19 13 \n", + "1705 199111 7 15574 11184 19964 27 19 \n", + "1706 199110 7 16643 11372 21914 29 20 \n", + "1707 199109 7 13741 8780 18702 24 15 \n", + "1708 199108 7 13289 8813 17765 23 15 \n", + "1709 199107 7 12337 8077 16597 22 15 \n", + "1710 199106 7 10877 7013 14741 19 12 \n", + "1711 199105 7 10442 6544 14340 18 11 \n", + "1712 199104 7 7913 4563 11263 14 8 \n", + "1713 199103 7 15387 10484 20290 27 18 \n", + "1714 199102 7 16277 11046 21508 29 20 \n", + "1715 199101 7 15565 10271 20859 27 18 \n", + "1716 199052 7 19375 13295 25455 34 23 \n", + "1717 199051 7 19080 13807 24353 34 25 \n", + "1718 199050 7 11079 6660 15498 20 12 \n", + "1719 199049 7 1143 0 2610 2 0 \n", "\n", " inc100_up geo_insee geo_name \n", - "0 16.0 FR France \n", - "1 16.0 FR France \n", - "2 15.0 FR France \n", - "3 15.0 FR France \n", - "4 13.0 FR France \n", - "5 11.0 FR France \n", - "6 8.0 FR France \n", - "7 4.0 FR France \n", - "8 4.0 FR France \n", - "9 6.0 FR France \n", - "10 6.0 FR France \n", - "11 6.0 FR France \n", - "12 6.0 FR France \n", - "13 6.0 FR France \n", - "14 5.0 FR France \n", - "15 8.0 FR France \n", - "16 9.0 FR France \n", - "17 11.0 FR France \n", - "18 8.0 FR France \n", - "19 4.0 FR France \n", - "20 8.0 FR France \n", - "21 7.0 FR France \n", - "22 7.0 FR France \n", - "23 4.0 FR France \n", - "24 8.0 FR France \n", - "25 6.0 FR France \n", - "26 10.0 FR France \n", - "27 31.0 FR France \n", - "28 42.0 FR France \n", - "29 61.0 FR France \n", + "0 14 FR France \n", + "1 12 FR France \n", + "2 9 FR France \n", + "3 9 FR France \n", + "4 10 FR France \n", + "5 7 FR France \n", + "6 6 FR France \n", + "7 5 FR France \n", + "8 5 FR France \n", + "9 3 FR France \n", + "10 2 FR France \n", + "11 2 FR France \n", + "12 4 FR France \n", + "13 8 FR France \n", + "14 22 FR France \n", + "15 8 FR France \n", + "16 13 FR France \n", + "17 28 FR France \n", + "18 14 FR France \n", + "19 15 FR France \n", + "20 18 FR France \n", + "21 22 FR France \n", + "22 22 FR France \n", + "23 29 FR France \n", + "24 24 FR France \n", + "25 23 FR France \n", + "26 21 FR France \n", + "27 19 FR France \n", + "28 21 FR France \n", + "29 19 FR France \n", "... ... ... ... \n", - "1743 59.0 FR France \n", - "1744 64.0 FR France \n", - "1745 97.0 FR France \n", - "1746 93.0 FR France \n", - "1747 80.0 FR France \n", - "1748 116.0 FR France \n", - "1749 149.0 FR France \n", - "1750 281.0 FR France \n", - "1751 395.0 FR France \n", - "1752 485.0 FR France \n", - "1753 544.0 FR France \n", - "1754 689.0 FR France \n", - "1755 722.0 FR France \n", - "1756 762.0 FR France \n", - "1757 926.0 FR France \n", - "1758 1113.0 FR France \n", - "1759 1236.0 FR France \n", - "1760 832.0 FR France \n", - "1761 459.0 FR France \n", - "1762 207.0 FR France \n", - "1763 190.0 FR France \n", - "1764 198.0 FR France \n", - "1765 224.0 FR France \n", - "1766 266.0 FR France \n", - "1767 219.0 FR France \n", - "1768 176.0 FR France \n", - "1769 163.0 FR France \n", - "1770 195.0 FR France \n", - "1771 308.0 FR France \n", - "1772 213.0 FR France \n", + "1690 42 FR France \n", + "1691 38 FR France \n", + "1692 39 FR France \n", + "1693 29 FR France \n", + "1694 37 FR France \n", + "1695 36 FR France \n", + "1696 45 FR France \n", + "1697 39 FR France \n", + "1698 51 FR France \n", + "1699 32 FR France \n", + "1700 34 FR France \n", + "1701 32 FR France \n", + "1702 30 FR France \n", + "1703 23 FR France \n", + "1704 25 FR France \n", + "1705 35 FR France \n", + "1706 38 FR France \n", + "1707 33 FR France \n", + "1708 31 FR France \n", + "1709 29 FR France \n", + "1710 26 FR France \n", + "1711 25 FR France \n", + "1712 20 FR France \n", + "1713 36 FR France \n", + "1714 38 FR France \n", + "1715 36 FR France \n", + "1716 45 FR France \n", + "1717 43 FR France \n", + "1718 28 FR France \n", + "1719 5 FR France \n", "\n", - "[1772 rows x 10 columns]" + "[1720 rows x 10 columns]" ] }, - "execution_count": 5, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" } @@ -2128,10 +2117,8 @@ }, { "cell_type": "code", - "execution_count": 6, - "metadata": { - "collapsed": false - }, + "execution_count": 24, + "metadata": {}, "outputs": [], "source": [ "def convert_week(year_and_week_int):\n", @@ -2160,10 +2147,8 @@ }, { "cell_type": "code", - "execution_count": 7, - "metadata": { - "collapsed": true - }, + "execution_count": 25, + "metadata": {}, "outputs": [], "source": [ "sorted_data = data.set_index('period').sort_index()" @@ -2187,19 +2172,9 @@ }, { "cell_type": "code", - "execution_count": 8, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "1989-05-01/1989-05-07 1989-05-15/1989-05-21\n" - ] - } - ], + "execution_count": 26, + "metadata": {}, + "outputs": [], "source": [ "periods = sorted_data.index\n", "for p1, p2 in zip(periods[:-1], periods[1:]):\n", @@ -2217,29 +2192,29 @@ }, { "cell_type": "code", - "execution_count": 9, - "metadata": { - "collapsed": false - }, + "execution_count": 27, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 9, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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SMIz2YNww9z0cOFtV7xGR7+BcU/WXc5GX95AeY7dw4fkAnH8+dHZ20tnZWVyJCiB0gGyH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\nnUXRaOD2lkZHR/H3afiYQFG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\n", 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K3BztaxBwHXAScDIwOTUIZZLvB69Pn/DhW7cu923r1ebN4bj16NG1/Sg4xKPM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\n", 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9AoCHAXyLMTYMxbK4qxxvjCCahcVIHF5HZYLdeixGqanbgwjBAIBTM0FsXeuq4dE0JgUFg3P+/hyLH15m/fsB3J9j+V4AF+RYHgXw24WOgyBaFX9ERput4KW6aixGQ1NXe88EY+hpt2JiMUqB7xVCld4EUef4owm4ytyhNhcWo4REkiOZak6P8EwghiGvA90uC06TYKwIEgyCKCNPH5rEXDBWeMUSCETlsrc0z4VoQtiscYyZQAxdLgs2dDlIMFYICQZBlIlD44v442/vw7+/eDrn65xzhOPykuWpFMfzR6eQL9dDsTCq45ICmrcJoRCM9Z1OnJoJ1vpwGhISDIIoE4+8NgIA2Hd2Pufrzx+dxu6/fhb+aCJj+a9PzeG/fX0v9o8s7eWUSnEEYzLabNVxSQHNORcjFJMRiifR5bKg123FfDjRtMJYSUgwCKIMhOMyfvz6OTAGHBxbQCKp3HTPzIbwlReGAQCjvjDC8SR8wXjGtgsRRUDEzG49gZgMzoG2aloYTTgXY1Z1E3Y5LWi3mwEAi5HEcpsQOSDByGIuGKMPElEy/3lwAsGYjHuuHEI0kdK6y37lhWH83c+OwR9NaE/u4Xjmk634XZ/2KQio1kg1YxjN+OQtzm2Xy4J21Vrz03VeMiQYWXzk2/vx+ScO1/owGopUiuPffnESPzs8WetDqRn7z87D6zDj3us2AFDcUolkCv/11hQAZZ6FEIzsuRMRNa4xnUMw/BHlteqk1TavSyqXYCyEyycYnHN8+bkTmFyMlm2f9UjlP4UNxrnFCMxG0tFiSSRT+NT338DjB87hmk2duHX72lofUk2YDcbR3WbFOrcN69qt2D+ygI1dTs1ajSVSWjuKyAosjOqk1TaxhRFMC4bIAiunJ2HKH8M/PHMcbrsJv3/lUNn2W2+QYGQRjMk0eawEnj40iccPnIPLaoQvFC+8QZMyF4rB61B84zsHPXjl5FyGMCxnYeQSjH1nffBHZMhqTURVXFJNHMOYCcQgGRg8djOCUcVqK6eFIUQonmzOGhYBPUrr4JwjEJWXPAES+Tk+FYBkYLhxWzfmwy0sGME4vE5FMO66tB/huIxnj0xpweqYnLYwslNrhYDoBeNfnh/GX/7ksM7CqPyznVmzMJpPMOZCcbhtJkgGBrddEd9yWhjxpPI/FMkOzQpZGDqiiRSSKU6dLEvg1EwI/R4b1rRZ4QvFwTlHK86/8oXS/Z6u3dyFlz59I370+jjMRgM+9+NDGRZG9udLCMiMruBvMZLAucWodlOrblpt833+/ZGEdg6Fe2+hjIIh/reJJhRbPWRh6BBPc+SSKp5TsyGs73Sgw2FGTE4tyQBqBaKJJIIxWbMwAMDjMOOD16zHNrXBXTShtzByu6TmgjGtLcdiJIG4nNK6qlalcM/UvBaGUi2vnEPJwNBmNZY1S0q4pJrdwiDB0BGIKU96JBjFkUpxnJ4NYkOXEx1qbnsrxjHm1PcsYhh6RFxg+Swp5fcUT58/v+pnPzYZgM0kwSRV/lJt5hiGP5rIsNLa7aayuqQSauyCYhgthAiGUQyjOCb8UUQTKWzocsCj3ixbMY4hekd5nUtbkFtNipsnKicLZkkBwHRAScsUT7/HpgJVsS6AFnBJ6RIH2m0mLJTxs0oWRgsSUAUjJqeQatKOneVE9OPZ0OlEhyoYc61sYTiXWhhWcRNOpNIWRnyphSECzjOBWIY14gvFqxK/AJrfJaUXXrfNXJKFMTa//MClVgl6k2DoCMbSH6BoEz5llRsxG3ljl0MTjPlWFAy11UdnjiFH4iYclZOICQsjO+idkDHQYQegCEZ2r6nqWRjNKxhLXFI2U9FB758enMA1X3wBh88t5l2HLIwWRPiNAXJLFcPp2RCcFiO6XJbWjmGoLqmOZSyM6DIWRjiexKAQjGBMq+4WVKMGAwDMUnMKRlxOIZpIZfTjarebigp6c87x5edPAABOTOXvcCtiF3G5uT0TJBg6gnrBoMB3QU7OBLG+0wHGGNpsRkgG1poxjFAcFqMBDrO05DXNwigQ9O5wmOG0GDETSPcyE9nJ1XJJMcaacuqe1o8r28IIJ/K2lBc8f3QaRycDAJZ3S5GF0YIEdIJBtRjL8/rIPPaemdfmIjOmVNG2poURR6fTkrP+RO/mWS6t1m6W0OWyZLik1nsdAKrnkhLH22xZUsJzkBnDMEFO8YJp4A+/eBq9bhs6HGaMzS/tJiwgwWhB9DGMSLy5//GF+OYrZ/B/XzqNo5P+Ja+dmgni7of3oLvNgk/9xlZteYfDVHHB+NYrZ/CTN85V9G+UylwoljPgDeie2pdtDSLDZjaiy2nBtD+muUq29ShiXC2XFABYTFLTuaTE+czOkgKWL96LyynsPTuPt1+wFv0d9gKCQUHvliMYI5cUoMwO+IvHD+Mvf/IW3v2VlyFnXQS/PD6DQEzG1/7gUqxtt2rLOxxmzIcq2zL66y+fwaN7Ryv6N0plLhjPWYMhsJokRBO502oTyRQSSQ67WcLadism/JG0YKxtA1ADC6PpXFKi4+9SwVhcpp/U0Uk/4nIKOwc86PPYlnVJUR1GC+KnGAYAaE9S12/tQiSRxFRWF1VxAfZ77BnLOxxmzIXKO886G39ULmvTuHIwF4yhI0eGlMBqMmQGvXWfLeESsZsl9LitmFyMau9PuPuqFcMAhGA011OyP0c/rvYi+km9rk5A3DHgRp/HhvGFSN50+3iSWoO0HMGorGWKtHKWlHiSumZTp/K7L/PJKhCTYTEalrSB99jNmK/wzdwfSdTVgCvOOWZDcXTmcUkBioURjMta2w/9Z0v8bDNLWNduQyLJcXo2BKvJgC1rFMHoduUXo3JjMUrNF8NYxiW1GMnvQj0wuoAulwXr2q3o89iRSPKcM0sAXS8pckm1DoFoAl3qxdnKQW9hYVyxwZvxuyAQTeScz+B1mLEQjms3Rj2/OjGz6otJZBrVk2BM+qOIy6m8MQxAeWrXp3BmWhiKtWY3S+hR3XtHJgNos5qwvtOBJz56NW4+b02Fjj7HsZqazyXlz5El5S5iTOuB0QXs7HeDMYY+jw2A8jA1uRhdkl1FQe8WJBiT0akKRmu7pMLw2E3YvMap/p4tGHLOGdMehxkpvvQiHJ4O4vcf3rPqiXzCFeaPJuqiEv/A6ALe9eWXYDYacPl6b971rCZJOyc2k5TR3ly4pGwmI9a5lZvSyemg9gR8UZ8bkqF63X+b0SUViMowMGSkPReaujcfiuP0bAg7BtwA0u7XR14bxRV/8xz2nZ3PWF8IBcUwWohAVNbM/9Z2SUXQ57HDYpTQ7bJgfCHLJZXVZkEgqr2zM6Wm/Ep/pPFlskyKQTwpcp6ZAl0rvv7SaSSSKfzko9fg4n533vWsRkm7MXnsJkQT6dYz4sFEb2HEk6mqxi30WIzNmSXlspoy0p4dZglGA8ubJXVwXKnq3qH+X4WF8YN9YwCAkSw3LVkYLUgwKmsuqda2MCLaBaJkhxTnkupTn8J+cXwmY/msWgk95Vfad3/ux4fwvn97BX/+2JslHZdeJOrBLeWPyujvsGnB6XxYTAbteNtVV4i4KeuD3h0Os1a3kcuCqwZmNQW4mfBH5SUz0Rlj8DjM8AVzxzAmFpTP/KBaC2M1SejUNZfMfigSgpGdUdhskGCopFIcwbiMTocZjLVuDINzjrH5sE4wluaf57MwLhlw421buvClZ45jcjGqLRcX13QgitOzQXzr12fxxugCHj9QWj2FPg5QD4IRiCbgshS2BCxGSbOOPGp2jnBLRdTvNrMExphmZbTXzMIwaDe/ZiEQTeSsZfE6zHmbZYrkDdHyBgD6O2xw2005OxpoWVLkkmoNQnEZnCvTuGwmqWVdUnOhOKKJlGYt9HlsOLcQyQhkB6IynJalgsEYw/97x3Ykkin8/X8dS+9TfYqb9sc08bm4z13yjUnflG9hmeyWahGIynAWYQlYTQaIGKlHvQFFsqq+7WZlP6KuhVxS5cMfkXMKRofDDF+eNPD5cBxWkwE2Xdzjf73jPDz4gV1qR4PMB5a4FsNornOXDQmGiijac1qNimC0qIUhbui97rSFIae4FocA8rukAMWEv3ZzJw6Npzt7itqM6UAU46qpv77TgXiytDby+qZ89WFh5La0shEzMQBo86RPz4bwpz94Q7O+7OqNaV27ct6rWd2tp1mzpPLF3PJ1JvCF4pq4C3YNduDKjV50OExLujJTDKPFEP5xp8UIa0sLhhLM6+tIxzCU5cqNPpniCMWTy94ou1xWLW4BpC2MKdXCMBoY+tX9l/JEprcw6kEwgjEZrhyWVjYWXb2KuAk9ceAcHt07hpeGZwFAe5LtcdfeJdVsdRiBqJzTYtO7pOZD8Qw39EJ4qWAIcvVM0wSjyayzbEgwVAK6BmU2s9SyMYylFobyXWRKCUtsecGwYC4U1wKA4qKMJJI4NhlAj9uqPXWXJBiRhNbBtdaCwTlXBKMISyCXhSE6oL4xplhidnWdHmFh2GoT9G5Ol1TuGEaHw4JAVEZcTuE3v/Ii/unZE9prvlBcy/pbup0ZvqwYRoJiGK2F/kbYyjGMiYUIXFajdiMUtQFjPkVItFbRy9wou1wWcA7topoLxmBUawleH5lHn9uuVYmXEsfwRxNw20wwGw3L9gCqBpFEEskULzqGIRBPrcenFMHwheIwSwYY1Q4D6+rAwijVVVjPJFMcgVieNHC12HJsPoxRXwRvTaQbbc6HE5q4L9nOYc7rkoonUwVbpjcyJBgqIgNHC3q3qIWhFOWlLxSrSYLLYtSshECOVtHZdKnphzNqG4W5UBybupUiwPlwAr0em9aCpSTBiCiuhXabqeYWRlDnwiyEmJUNAB6Hcm71T/H6wOqOfg+u2uhdtq6jkoj5Hc0SvA3maDwoEA0j31TjbSNzIe21+fDyFsZ8OJ4hqvrzJTeJ2OaioGAwxr7GGJtmjB3SLetgjD3DGDuhfvfoXvssY2yYMXaMMXarbvkuxtib6msPMLWKhjFmYYx9T13+KmNsqLxvsTgmFpUn6DVtVljNEiKJFIIxOaODbSsQjC3NgGqzpaeTpQVjeQsDUAQjJicRiMo4f12b9nqv27YiC0OkR7rrQDByzVjIh97CcOfwi9t1gtHhMOM/PnSF5pqqNhbdDPJmIKSmLecabiUE4U3VLTg2H4GcTEFOKu1nlothpHhmTE3/OW7mwHcxFsbXAdyWtewzAJ7jnG8G8Jz6Oxhj5wO4C8B2dZuvMsbEf+pBAPcC2Kx+iX1+EMA853wTgC8B+OJK38xqGJtXXDHtNhNsJgOi8ST+5Luv439+70AtDqdmhOJLU0X1T/TCJbWcK6ZbJxgiOHh+j04wPLb0jakkl5RSgFUXFkYRsRxBRgxD96S7TS34s+W4mdWK9MCn5rCwxedL/z8QiIaRoqpbTnFMLEaxGEmAcyxrYQCZxXt6CyPRxGNaCwoG5/yXAHxZi+8A8A31528AuFO3/BHOeYxzfhrAMIDLGGM9ANo4569wxcH3zaxtxL5+AOAmxnKMLqswoh0GAM0ldXBsAadnQwW2bC6CsSQcluUEo/CNUlTEzgRjWoZUf4dde8rrW6GFIYKXYrxmLQlE0y7MQlj1LindU+tvnK80FbTXpWA0x1OySF7RW3kC0ZL+sC4F/OxcWCvayxfD8KiCoS/e03+Om8Wdl4uVxjDWcM4nAED93q0u7wWgn24zpi7rVX/OXp6xDedcBrAIIGcnN8bYvYyxvYyxvTMzM7lWWTHjunYYNrOEmUAMs8E45oKVne9QbwSjCTgtmTewXBbGcoJhM0vafGoR++h0mrGmTQno9nl0Qe9k8U+y/mhaMGpuYZQSw1BvVgaWed5uOX8tAMBuqk1GVC4sptItv3pGvA99HEngtplgYEAonoRNfd8jvrAmBHktDLuwMDJdUqJHZKu7pEohl2XAl1m+3DZLF3L+EOd8N+d8d1dX1woPMed+MTYf1lJJ9XUY8+FE0/eH0ROKJeEw57cwhO++UGGZmE8tBLfDYUGXywLGlGpmEfQuySUVUV1SdlNGmxBAyaOf1hUXVppiLC2BuFlZjBKMkkHJijIwnNfjwto2K7mkKoiwMCw5LAyDgWkW30V97TBLBpz1hTRXU95f96jYAAAgAElEQVQYhpq4MJ/lkhLXDQnGUqZUNxPU79Pq8jEA/br1+gCcU5f35ViesQ1jzAigHUtdYBVlMZJAKJ5MWxhZ/s5Kz6muJ0IxealLyp4WjGBMhkliGcVouehyWjJiGF6nGX0euxbwLtUlFZdTiCSScKkWRiAmZwj5p77/Bv742/uKfp+rJSBiGEX0khLuEPHdZpbQ57HBKBnw6bdvxR9cNVSx4yyVRnNJ5Zq9omc5CwNIWxH9HXb0ddgwMhfGgmpheArFMHQuqYSc0q4bEoylPAHgHvXnewA8rlt+l5r5tB5KcHuP6rYKMMauUOMTd2dtI/b1XgDP8yonMotiNX0MQ89sno6WzQbnSgPG7KfmdpsJMTmFaCKptQUpFGbqclkwE1TcembJAJfFiD+9bSsevudSAKXfmNL1H0atRkFYO3E5hZdPzmHKXz33YTHBf4HewgCUz9eA2gX13Tv7cMO27rzbVptGypI6NhnAts89hbNz+eOMy8UwgPTNv9dtw2CHHWfnwpqrqSOPhWEzSbAYDUstDNWVG2/loDdj7LsAXgGwlTE2xhj7IIAvALiFMXYCwC3q7+CcHwbwKIC3ADwN4D7OubBtPwLg36EEwk8CeEpd/jAAL2NsGMAnoGZcVROtHYYuhqGn0nOq64VwPAnOscTCaNNu0Im8jQez0bukOhxmMMawps2qtQK3lGhhBHT59OnxmsqF/cbYAiKJZEaaYzmYDkTxwa+/tqRIC1BiGHazVNRwo2wL4/2XDeC3d/Utt0nNEK6bRnBJnZ4NaiNt81HIwhCTEvs8Ngx6HVoMI7vxoB7GmDq/XvlcpFIciSTXrotmtjAKXvmc8/fneemmPOvfD+D+HMv3Arggx/IogN8udByVIC6ncGI6oLMw0jEMANjQ6cCp2VBGX6RmJqS6WXJlSQFKllKxDfe6XErbhdfO+LTqZT2luqT8ugpzg/qYo7gOHHjl5BwAxV2WSnEYyjSh7s2xRTx3dBp7zvhw6/a1Ga8Vex6A9OdJ3LQ+dvPmshxfJWgkl5R4iFhumFbRFobHhkBUqbt6c2wxr3Uh8NjT1d4iK8pOMYzm5pHXRvCOB17Ejw+Mw2lJuzqES+rSoQ4A6eZ5zY7WsTdHlhSgPNEH8nT+zEZUe5+ZC+Pe6zYseT2dJVWkYETSFoZIhxTxkZdPKg38OE/HFsqBuGmOzIWXvJarwDEfQjDy3bTqiUYSDPF5Xc6yLBzDUD5LfW47bjl/DUwSwyun5nIWWGZul7YwhECIBy1Kq21SXh5WnkwPjfvR67Zpfnlhil7c74ZZMrRMDCMUU57GsrOkxPS3Rc3CKBzoFdXeuwY9S57OAZTcGsSvS+cVLR3mgkqH0f0jC9pgouzsqdUgnk7P5PCR+5dp8Z6NuAnnu2nVE+kYRv27pIRFvJyFEVsmSwoArt3ciZvP68Y6txX9HXa8/7IBAPlTagVeZ7pjrfgMiwetZm5A2LKCwTnHa2d8GOhIDwoSiA/LeT0ueJ3mlnFJ6WeC6Mm0MIpzxZzX04YNnQ587p3n5wyQl+qS0txlZqNWGDgbiuHwOT/ickoLHJdz1rdmYejmNz/84ml85YVhtVNtiS6pBrAwxMNSuAGabwY0wShsYVjziPWlQx3493su1Zo/fvSGTbCaDFoVeD461SxAIG1RaFlSDWCdrZT6qRiqMqdmQ5gLxfGpW7fizFwIF/Wmm71dvr4Dj/33q7BzwAOv09wyxXtpl1RuwVgIJzAfjsNtW/5iApRai+c/dX3e19OtQYq7MYm6GJtZgs0swWGWMBuIa6Ngt69rx4/2j5c18J1tYTx9aBJ/9Z9vwWGWsKbNqo1TLYRwRTWChSFal+QbXVpPiOJJ/WCtbKKJJBgDTFJxca3uNiu++6ErMuZ356LLZUEkkUQoJmsPPa2QVtuygvHaaaXU49KhDs0MFTDGsHNA6afodVga4uIpB/mC3iJL6vhUAOF4Euu7HKv+W+ICLtbCiGijTJWbrtdpwVwohkm1WG+z2g23vC4p5djG5yMY9YXxqe+/AZfViEBUxqnZEHYPeQrsQUFLq20AC8MoGeCxm/KOLq0ngkVaGFajVDANXI+49pdD35FZTqmCYaYYRtOy54wPXocZGwvc/LxOM2YD9X/xlIN8FoZJMsBhlrD3zDyA9M15NTDGYDYaECvy4hIuEpGQ0Ok0Yy6oVHebjQbNtVhel5TyN1Mc+D+/OoVgTMa//t4u7XVnEUV7ACAZGEwSy+sWqTc6HOaGSPQIaUHv5WMYlRBqrSNzMKa5vRwUw2hOOOfYc9qH3UOewgVoTgtmQ/GmHooiyGdhAIpb6sR0EAC02RarxSIZircwEklYjAYtZdbrtGA2qFgYa9osumK+8lsYAPD9vWPY3O3E1Zs6MehVxKnYGAag+NAbwcIAhPVW/4KRTqvN/z+PJlIVEWp9C/9Wckk1xie4zBwa92NsPoK3bSlcYet1mhGXUy0xFyMYk8FYelyoHuGWcttNWpbSajEbixeMcFzO6Ora6bRgNqjEMNa2WbWb93L+7FKJyUltJGwkkcTNanfZy9R061IE42M3b8Z7dvYWXrEO6GyQuF2wmCwpucIWBglG8/P4gXGYJIbbL1ya7pmNV83TboXU2mBMhsNszFn4Jp7gN3c7S/IHL4fZaCg63z8ST2mFUYByU/OpMYzuNiuMkgF2s1R2C8PrsGhCdYsqGJeuL10w/ujaDditCk290+EwN0T/NK0OQ41b5RorWykLw2M3QzIwzARimgvKqbUGIcFoGpIpjp8cPIe3bekuWJwDAJ0uIRj1/8S1WpTGg7kvLiEY5XJHAer86KJdUnJGqwavQ5l6NuILY63aNr3NalrWPVEqMTkJq8mAQa8DnU4zdvQpmXTXbu5Eu82ETd2usv2tesLrsNRNl+ZPfO8AHnt9LOdrQV2l98hcGNv+4mkc0s22ACpnYUgGBq9DSbkXLfrT3Wqb133dcoLx6mmlSd2dO9cVtX6/Wp9xaiZYycOqC0I5hicJ0oJRvptkaS6pZKZLShVyzoE1bcrPbTZjeV1SiRQsRgP+5MZN+Pxvbtcsr552Gw78xS3YNVhcllSjIfor6bux1oqfvjmBZ49M53xNc0nFZBw+t4i4nMK+s/MZ61TKwgDS/dLyuaRG5sL40f7cYteotJxgHB73w2U14qZta4paf32nA267ackHsRlZrt1FJSwMs9FQdApiOJ7MGLMpXIUAtMFMbVZTWV1SioUh4e0X9uCdF2U+YNRgKGTV8Ga1XqkVMTmJmJzCxEJkyWtxOYWYnNIq/I9PKQ90J7Me7CplYQBq8Z4uS8pqkmBgacF4dO8oPvn9N3K6yhqVlhOMD123Aa989qaih9YwxrBrwNPygiHGVZZVMErIkoomMi2MLlfanagJhq28ghFVLYxWQ1gYk4tR/NaDL+O/Dk/W5DhEMHticelgLJHR19OueACOTfkBLBUM5X9YWQtDuKAsRgNMUvohSHR/jjZA599iab2rAcWN1dRzyaAHJ2dCOdtcNxO5hicJfvPiXvz57edhXZHVzcWwGpeU3sIQMQxRVFcuhIXRaogsuFdOzWHf2Xl89ecna3Ic4n855Y8uiacId5TohHx0MgAAODWT2ferkhZGl0tJ7Rb1OmajMk0xoc7DEN0JIg3QZqVYWlIwSkX4ql8fbW4rYzkLY8Brx4eu21BWV4zZKOVtDTLtj2ZcaJF4Ejbd7Ot2m0mbRZHhkipzpXdLCoZaxfyLYzMAgAOjCzg66a/6cWjZTxyYyiqeDWZZGGfUmRgTi1HN+gAqHMNwWpBIcq2nlEkywGQ0aC4p0Vom0gCNHIuFBKMILu5zQzKwpndLLZclVQksedJqUymOd3z5RfzTs8e1ZeG4DJs5/XE1qFkqbVaj5l5ssxnhj8plK7KMycmWdEm5bSYYmPLU7jBLMEsGPLJntOrHobcWz2XFMTTBUC2MFE+nOesHKsXkVEUtDP2xmY0GmCSmCYZ44ImSYLQWNrOE7evasP/sQq0PpaIEl3FJVYJ8Qe9Ts0HMBGI4NhXQlkUSyYw6DEB5El6rc5G1WU1IpnjZnuha1cIwGJjWsfmiPjdu2b4GPz4wXvXj0MejlgiGKibr2tNdpq/a6AWQGceIJZIVzZICgHEhGFJmDEN8DqMNMO62WEgwiqS/w46pwNLgW7MQk5NIJDlcVRSMfK1B9o8owizaiqdSHNFEasms9eu3dmXMwxbV6N/dM4qvvDC86uNrVQsDSMeILuxrx7Y1LiyEE1WvYNbX1GQHvgOaSyr9wHDVxk4YGHBypjoWhvjbIkPLJDElhqEGwZvRJdWy3WpLxWk2ak81zYg2PKnaFkYOwXhdFYyx+QhSOovBnpXZ9unbtmX8LlwSf/PkEbjtJtx3w6ZVHV+rWhhAeibMBb3tmFJv1tFEEiapegIqampMEstvYbjTFsag147+DrtmYSRTHPFk5TLdBjrsGPLacWYuDLNkAGMMJsmgzcOIUtC7dXFYjBnBtGZjQS3Saityilw5yNca5MCoIhhxOYWZYCyvYGQjjl1OcSyEE6uOZUQTLWxhqKm1F/a2a/M8qu1aCUQTYEyphTq3kGlhiGvR4zBrx7fObcP6TgdOqxZGXFcfUQkYY3j7hT0A0gPBTEZdDKMJLYzWvBpWgNNqRCiebKoiHD2iO6mooK4GuVqDhGIyjk36cXFfOwBg1BfWntAKXfjCJQUoorGa+d6cc9Wd0ZoWxpDXgW6XBYMddu0cVDt4648qWXu9btsSC0P8b+0mSRuV29NuRbea6qo/3kqK/tsvUPrRaYIhGZBIZabVUtC7BRGNxULx5rEyOOf46cEJRBNJbeZHodGU5SRX0Pvg2CJSHHjXxUpl9eh8WJuFkR30zqbfY4PbbsI7L1Ke+lZTNyMsn1a1MD564yY8+bFrYTAwTairLxgJtFlN6HHbMLG41CXltCiNMtusRrisRrisJnidFvjUcQSxClsYgGKB9bpt2ox6vUsqEs/MlmoGWvNqWAFiWI7w9TcDRycDuO8/9uPpQ5PaU1lXgdGU5cQsSUimOJI6q+3wOaV53O2qqT/qiyCsinQhl5TXacHrn7sF77lEaSM+H155TUY1bjb1jNUkaWNKrcbquKQOjS/iH585rrkS/RFlbvq6divmw4mMG28wltBqhlxWk5Yt5XWYIac4/BG5KhYGYwx/fP1G3HieknyhBL2btw6Dgt5FIuoTgrEEgPJVO9cSYeaPL0Q011BHmWZdFIMw4+NySqul8IXikAwMPe1WrGmzYMQXzpjnXQjGmNaFeH4VzfNiVbjZNArivFe6xcUP9o3h6y+fwc5+N27Y1o1ANIE2mwmb1ygNL/edncc1mzsBqEWmapLD+3b3I6mKjIi9zIXSLTsqLfq/f8Wg9rNJYghEU+CcUwyjlREZOMEmsjBEquLEYgSzwRg8dhOMVcyC0QuGYDGSQLvNBMYY+j32jBhGdlptPjxCMMrgkmpVC0NPtVxSY/PKA8w/PatYGf6ojDarEW/b0gWnxYjHD4yDc47TsyEEoumaod+9fEC7aXeo6cBzobjWRaCaoq/UYXAkkmnLOdpELimyMIpE9LpvpkypKb8iGJOLUUgGprkgqoUQDOXCVlx+i5EE2lRx7u+wY89pny6GUaxgKPtajUuqGu6MRkEUvlXaJTW+EIHFaMAbY4v4+fEZxcKwumA1Sbh1+1o8fWgSnS4LHlR7W12zqXPJPkQfrLlgXLOWqyn6ojWI3qqINtFAJboaikQ8zZSzuV2tERbGpD+KuWC86oJh0QRjqYUBKIIxsRjRKn6L7TDcZlVaWyysxiVFFoZGOq22vE/Kvzw+kxGXGJ8P4907e+GyGvHMW1PwRxKaZX/HjnUIxGQ8+POTuH5rF27dvkZLbtCjd0nVwsIQMQz9uSpn0DuV4vjKC8M4NhkovHIFIAujSMQHt1ktDKfFiAt626v698WFrM+U8kdlLT12oMOOFAdOqJW0hbKkBAaDEsdYzTwHsjDSVMIlNROI4e6v7cH/ftf5+MOr1yMQTcAflTHodWDbWheOTQYQjKU/C1dt9KKn3Yp2mwkPfmBX3ocHYVX4gnF0u6wZx18NTBJDQs4SjDKet7O+MP7uZ8fQ5bRg69rqT3ykq6FIhIURbCLBEBbGbDCOSX+0+i4paWkMw6+zMIa8dgDQOqUW65IClPkdC5QlVRZEa42VuFaSKY7vvHp2SVdikZAgnpRFP6Zejw1b1rhwaHwxo6GgUTLg8fuuxo/++1XLWpoWowSX1VjzGEakQoJxdEK5Frb11GY8MAlGkTibUDCmFqNa76hoIqU1U6sWywW9AWDQ6wAAvHXOD8ZKu/A77OZVZUmRhZFGiGZsBTe+/SPz+PPHDuGFozMZy0WfqBPTivUoMvZ63TZsXevSBFvfeaC7zVqUlel1mDEXimsxl2qKvtK9IJnhhipn0PvIZAAGBmxZQ4JR11iMBhgNrGlcUsGYjEBMxkX9aTdUNYv2AH3QW7mwOecZgtHpNMNhluCPyrCZpJJmcazWJUUWRhoR9F6JL17MihjPqtQWfaKGp4PgnGNczZDqUy0MgWsFrWq8TgvmgrWJYbRZTQjG5Ix6rXJbGOs7HTX7XJJgFAljDE6rsWksjEnVHbWz36Mt00+xqwbZLqlQPIlkimuCwRjDUKdiZZTijgKUTKnVuKTIwkhjkhgkA1tRHcacWhCaPZdbJDIsRhKYCcYwthCBWTKgy2nJEIw2W+lh1g6H8rAgLIxqtndx203gPB0fbLMayyoYRyb92NbTVrb9lQpdDSXgMDePYIgP9I5+t7asmn2kgPSFHE8qF9SiOmGtXdcTakh1SxWbISXwOBSX1EobEJKFkYYxBqvRsKK02tmgYuUtaU+uyzYcngpifD6CHrdVm8Uh4mkrsTA6nWbMBmsTw3CrKd2ilUmHw1y2LKlANIFRXwTnN6pgMMbOMMbeZIwdYIztVZd1MMaeYYydUL97dOt/ljE2zBg7xhi7Vbd8l7qfYcbYA6ycc0DLiNPSPC3OxQW8qdupxWeq7pLKsjD8OQRjUA18F1u0J/DYzYjJqRU/3QkLw1qhWQqNhtUkrShLai6kWBjnsnpB6QXjxHQQ4wsR9OpalW9d6wQArSanFDrUhwURO6iuYCjXkLi+PA5z2bLLjqsDxbbVIDtKUI4zeQPnfAfnfLf6+2cAPMc53wzgOfV3MMbOB3AXgO0AbgPwVcaYuAs8COBeAJvVr9vKcFxlR+lY2xyCISyMte1WbWpd7Qr3FMEQFoa+66xwSdmKTKkVrLZ4T3NnVGhaW6OhCEbpFsacsDAWsi2MBIxq48AT0wGMz2cKhnBLrSiG4bAgmeKY8sdgMRrKOoe+EG6bsDCU99thN5et4PHIhCoYjWph5OEOAN9Qf/4GgDt1yx/hnMc456cBDAO4jDHWA6CNc/4KV/wH39RtU1c4LMamaQ0ysRiB226C1SShp90Kp8VYdfeLJStLajmXlL3EY3Ovsj1ILdwZ9YzFZFhhDEM5/9OBKGRdvU0gqjQW3LzGhWfemsJ0IIb+Drv2+jsvWod3XNSzot5monjv3GKk6p9pTw4Lo1wxjKOTfrSpzRhrxWoL9ziA/2KMcQD/xjl/CMAazvkEAHDOJxhjYoZmL4Bf67YdU5cl1J+zl9cdLosR4/PhWh9GWZhYiGJtm/LB2zngQWqVw4ZWQj4LI1MwlJtIqUFvcaNZaWptNJGCWTLAYKhL72jVsRqlotJqF8MJSBLT3JyiC3KKA1OBmGZF+KMJuKwmbFvrUpoKburE714+oO1n16AHuwY9S/9AEYjkjVMzoaoLvohhTKouOLfNVDbBODsXxvpOR1UtpmxWKxhXc87PqaLwDGPs6DLr5nqXfJnlS3fA2L1QXFcYGBjItUpFcVikpmlvfmYuhE3dip/4E7dsqckxZLcG8edwSXW5LLCbpdKD3qt0ScXkZMVmQTciVlNxQe8Pf3sv2qwmPHS34qGeDca0MaYTujiFsDA+fvMWvOOiHly5wVu2G2GnS3lYGF+I4G1busqyz2Jps5rAmPK5M0lKZmVcTiGZ4pBW+fAx6gtje5W7MWSzKsHgnJ9Tv08zxh4DcBmAKcZYj2pd9ACYVlcfA9Cv27wPwDl1eV+O5bn+3kMAHgKA3bt3V/2R2GkxNUWWVDLFMeqL4Obz19T0OOxmIzocZvz9z45BTqYQjMlgDFoxIaBk6Nxz1VDJgb5u1Xo6Mxta0bFFEymKX+goNug9vhDBweAiEskUOFdavVy3pQtn5sI4p8uUCqjDkbpclrIXjG5d48L9774Am7td2L1CK2WlGAwM7TYlpdtqkrRkjWgiqXWLWAnJFMf4QgS3XbC0f1Y1WfEjFGPMwRhziZ8B/AaAQwCeAHCPuto9AB5Xf34CwF2MMQtjbD2U4PYe1X0VYIxdoWZH3a3bpq5wWiSE4nLDj2k9txBBPJnCejU+UCvMRgN++JGrsHvIg7956ihOzYaUxoFZT2Kfvm0b7thRmpey3WbC9nVtePnk7IqOLSYnKUNKh80kFRXDWAwnEI4ncXBsQSucvFB9KtbXYggLoxIwxvCBywdx2fqOmrgURRzDZkpbxqt1S035o0gkOfo7bIVXriCruSLWAHiRMfYGgD0Afso5fxrAFwDcwhg7AeAW9Xdwzg8DeBTAWwCeBnAf51ycxY8A+HcogfCTAJ5axXFVDIfFCM6BcIMNREmleEYvn1PqU/f6ztoKhjiGj920GYDSvVQfv1gtV2/qxP6zCyXlwYfjMn64bwyReJIC3jqsJqngeUzp5qi/PDynxS+GOh1wWYwZtRiKYJTvf11PiM+wzSxpQffV1mKM+pTYab/HXmDNyrJiieecnwJwcY7lcwBuyrPN/QDuz7F8L4ALVnos1cKp61jrXIV5WU0++egb+PGBcTAAT33sWmxe49LcNPUgGABwYV87zEYDAlFZy4oqB1dt9OKhX57Ca2d8uG4ZX7Y/msDzR6Zx585ePPPWFD75/TdgM0nY0FUf56cesBQRwwjGZYjciVdOzeEitSi002lGj9ua0R5ECXo3xjVUKiLwbctySa2GUbV1ij6TrBbQI1QJNFoDwn1nffjh/jHcfF435BTHc0eVcNLp2RAcZqnqzQbzYTFKuLhPcVuU08K4bH0HTBLDS8PLu6WeOHAOH//eAYz6wlrvo0iCLAw9VpO0pONsNiJpwWM3Ye/Zea2hoNdhwTq3DafVB5VUiiuty5tUMIRLKjOGsbpajFFfGIwB69y1HQ9NV0QJaILRINXe//L8MDx2E770OzuwuduJl0/OAVAypAa9tU3Py2bXYAeAlfUOyofdbMTOAQ9+eWJ22RYh6VqBGOZ0dRvUFiSN1Vi4cE+kRf/G+WsRl1N47PVxAEpdxA1buzE8HcTBsQXNEml2l5TVZEi7pFZtYYSxts1a80QMEowSEFkO9d6x9ten5vBnj72JF47N4L9dvR52sxFXbfTitdM+xOUUzsyG6sYdJbh0SMlmKaeFAQDvuqgHRyb8+MnBibzriFqN2WAMc8EY2m0m2HX+Z0Kk1RayMJTr4h0X9WBduxV7TvtgNhrgtBjx7kt6YTNJ+I9XR7S2IM3qksoMeiu32FIFI5ni+N5rIzg1o7R/H/NFah6/AEgwSkJYGIE6F4xPPvoGHts/jpvPW4N7rh4CAFy1qRORRBJ7z/gwOh/BUGftP3x6dg16wFj6YisXv3v5IC7ud+PzTxzO2+5cLJ8LxuELxdHrtuFffncn7rthY1mPpZGxmiTIKZ5RrZ2N6EDb4TDjnquGAACdDjMYY2izmnDHjnV4/MA5zVXVrBaGFsNYRdD72SNT+PQP38SN//ALfOLRAzjrC6GvxhlSAAlGSYin38VVtM2uNKkUx5Q/ij+8egj/fs9ubQDNFRu8MDDgn587gWSKlzW4XA7cdjMevmc37r5yqKz7lQwMX/ytC+ELxfHDfWM519FbGLPBOLxOM27ctkZzkxHp5o/LTd3TN4+867IB2M0SvLr+ZO+/bACRRBI/2q/8H5rVwhCCkV2HUQrPH5mGy2rEvddtwI/2j2PKH6sLC6M5/2MVQgSJZ9R0wXpkPhyHnOLozgpot9tMuLjfjVdP+9DrtuHy9d4aHWF+btxWmULCbWvbYDEatDTPbPSC4QvFtXYkRBpRkxJNJPNmCOqbR7bbTPjrOy/IqG6+sLcdbVajNn2vrczux3rBvco6jFSK4/lj07huSxf+7PbzIBkYHvz5ybpwI5NglIDVpMwLFpk09ci0emxdrqXZFF/9wCXwheI4v6etrgLe1cCzzAS++ZByoxOC0VHlQVKNgKWIJ2V/NLNS/z2X9GW8bjAwXDLowc+PKYLRtBaGbWlabSkuqcPn/JgJxHDTNqUN35/euhVXbPDi8vW1t3jJJVUiXU5LXVsYQsy625be9Hrabdi+rr3lxAJQ3AT6vlJPvjmB6//uBcTkpGZhjC9EEYzJWrdTIo21iPRQfyQBp8W4bHX1roF0q45mFQwt6K2PYZRgYTx3dAqMQeuDxRjD27Z01UUSBglGiXS6LI1hYVR5tkW90+EwY0HXufbZI1M4MxfGqZkQwurT3wl1QI13BS21mx2rMe2SyodfN489H7uG0oLR1qxBb4fyvuxmozqPozQL478OT2Fnvzsj/lMvkGCUSJfTktcXXg/MaC6p+vuw1RKP3QyfTjAOji0CAA6NK9/NRoMmHPV4odYaa1EuqURBEbi4zw3JwGCSWNMWRrZZTfjqBy7Be3f1aRliIr5TiBNTAbw14ce7Ll5X4aNcGc35H6sgXXVvYUThMEur6ozZjLjtSgdRQKnUP6nmtwvB2Njl1NZdydCeZqc4l5RcsPDSYTHivB4XXFZTU7tGb7+wR3to8zrzx8+yefzAORiYUstSj5BglEin04xAVC7bnN5yMx2Iaa29iTTCJZVKcRwaX9R6HvtfZ6YAABBtSURBVL2pCsaWNWnBqPZs80ZAnyWVj2IsDAB47yV9uHFbd8H1moVOR3FeCc45Hn9jHFdv6kR3jqSVeoAeQ0tEPDXMBmPoq4O86GxmAjFyR+XAbTcjxZWb2sGxBQBK0PWtCT+A9AxpgCyMXKTrMPILxmIRMQwA+IOr15ftuBqBDocZw6pFuxwHxxYx6ovgT27cXIWjWhlkYZRIp+rfroZbyheK4+xcaQOASDByo5/Ad3BsEb1uG87radNcLGL6oGhlQWRSbJZUs9ZWrIZiXVKHzinW7pUb669GSkCCUSJpC2Nls6JL4f6fHsHdX9tT0jYzgdiSoj0ineo4H47j4NgiLuprR5873WpBCIZXbWVBZGIp4JKSkymE4smmzXxaDV6nBfPhOJIFBq+dmArCbpawrr32LUDyQYJRIlq1dxUsjOGZIEZ84YJtpQXhuIxgTCYLIwce1c00Nh/BiC+M7eva0OtRLkyXxYiedsVnTDUYuSmUJSUaCpaz23Cz4HWYwXm6o0A+hqeD2NTtrMmUwGIhwSgRr6N6gjHqC4NzYHw+gmTW1LxcaEV7dRowqyXCJbXvjA8AsKnbhT5VMDwOM+xmI+xmiaq882BV22rH8vSSWtT1kSIyEQ8hcwW8EiemA5qlW6+QYJSI2WiA226qeC1GIJrQ/J4jvjAeeO4E3v7Pv1qy3rNvTeE3/+VFJJIprWiPXFJLEf19XjszD0BxQfW6laQFYX1s6HJgQx3066lHTBKD0cC0jrTZiOXkklqKSKKYW+ae4Y8mMOWPYXO3K+869QDZjyug01n5WowRdYYvoFgavz41h1MzIYRickaNxQ/2jeHg2CLOzoUx7aeivXy0WY2QDAxHJ/0wGhgGvXatMZ6wPr7zR1c0bTHZamGMYfu6Nuw/O5/zdTELg4LeSxGJMnPLBL6Hp5UsKrIwmpBq9JMa1QnGiC+MI2r6p34uspxM4aWTyvjRUzNBjC8o2wh/PJGGMQaP3YQUB4Y6HTBJBm3cZYdqfbTbTHXRr6deuXpTJ14fWcg5ovjguJKqTCnJS/EWYWEMTymCsZkEo/noclkwHYhW9G+cnVNu/mvaLHj1tA9+Nag4Np8WkoPji1qw8dRsCEcnA+h2WTT3C5GJOC+b1Kpui1HCDVu7sHuo9l1AG4GrN3VCTnHsOT2XsfzUTBAPPHcCN23rxsYucull47abwdjyFsaJ6QDMRgP6O+qvtksPuaRWwJDXjv88eA4xOVmxGbsjvjA8dhO2r2vH80enteVj82kL41fHZ8EY4DAbcXomhGOTAWxdW98+0FoiXE8bu9M3tf/7h5fV6nAajl2DHliMBrw0PIcbt61BMCbjS88cx9OHJmExSvj/3nMhpSTnQDIwdNjNeQVjyh/Fq6d92NjlzJgfUo+QhbECNnY7keJpK6ASjPjCGOiwY0D3xGGSWIZgvDg8gwvWteP8njacmA7gxHQQ20gw8iJqMerdT1yvWE0Sdg958NKw4gZ9+Fen8fCLp7G+04EHP3AJ1lBLmrx4neacLqn9I/O45ovP4+DYIu7cUZ8NB/WQYKwA0aju5HThcv+VMuILo7/DrqV+DnTY0d9h11xSgWgCr48s4NrNndjQ5cCB0QXE5RS2rm2r2DE1OppgdJGorpRrNnXh6GQA4wsR/OrEDC7ua8e3/+hyXLWps9aHVtd0OMw502of2TMCq1HCzz91PT78tvqfIU+CsQLEqMSTRfSHKZVfHJ/BV14Yxvh8BIPetIVxXo8LfR67ZmH8+pQPcorjms2dWN/pgCgiJQsjP16n4kveQH72FXP7hWsBAP/x6lm8PrqAazd31fiIGgOv07KkPUhcTuFnh6dwy/lrMNQg6dwUw1gBDosR69qtODlTWp+nQnDO8RePH9JcXQMddgyo86W3rW3DTDCmteN+8cQMbCYJuwY9CKqBbwMjd8ty/P6Vg9g54KHW76tg0OvAjn43HvrlKSRTHNdtIcEoBq/DvKR266WTs1iMJOq2lXku6MpZIRu7nWW3MA6f8+PsXBj33bARdrMRb7+wB3aThN+7YgB37uzFU4cm4AvFEYrJ+NWJWVy+oQMWo4QNqotsqNNBaaHL0NNuQ08d9+lpFO7csQ4HRhfgMEvYOeCu9eE0BF6HBf6ojIVwXMvWe/LgBFwWI67Z3DjuPHJJrZCNXU6cmgmB8+UbihVCX1fx5JsTkAwMH7xmA+67YRParCYYJQP++s4Lsb7TobVT33PGh1OzIc0dMNChFKGRO4qoBu+4aB0MDLhyYydMEt1CiuGGbV0wSQx//O19iMlJLEYSeOrQJH5j+9qKZVpWAvpvr5CNXQ4EY7LWjkNOpkoWj2/9+iyu/sLz+N5rI+Cc48k3J3DVRm/e4icRAH/w5ycBANeqTyZmowGfuGULfu+KwZW+HYIomi6XBQ+8fyf+n1u31vpQGoaL+tz4+9++GL8+5cPnfnwI390zgmBMxh9ePVTrQysJckmtEH2mlM0s4W1/+wL+9LZteN/ufvyP7+7H9Vu68b5L+/NuPx2I4m+fOgoDA/7yJ2/hyEQAZ+bCy2ZKCMHYc9qH67d2ZVSF3nfDpjK9M4IozDsvqv8U0Hrjjh29GJ4O4svPD8NqMuDqTV5c0Nte68MqCRKMFbJZndC2f2Qes6E45sMJPLp3FENeB558cxI/OzyFXo8NV+dJN/zCk0cRS6bw7Q9ejg9/ex++/vIZvOeSXrx7Z2/ev9ntsuKv7tiOAa8D123upCIpgmgwPn7zFrw+soAXh2dx73X1n0abDVutD75W7N69m+/du7emx/C+f30Fs6EYzutpw08PTgAArtvShX1nfFjntmEmGMPzn7weoZiM7+8dxb1v2winxYiZQAxX/s1zuOeqIXzunefj0PgiYnISuwapRQVBNDv+aAJ7z/hww9bumjz0Mcb2cc53r2RbimGsgt/a1YtTMyE8fWgSV6ljFX95fAa3bl+Lr3zgEvgjCfzTs8fxJ4+8jgeeH8b7H/o15oIx/Gj/GOQUx/svGwAAXNDbTmJBEC1Cm9WEG7etaUgPQd0IBmPsNsbYMcbYMGPsM7U+nmK4/cIeWE0GJFMcH7p2Ay7oVaqsf3PHOmxZ48Jdlw3gm6+cxesjC/i9KwZwYjqA9/7rK/jOqyPYPeihmgmCIBqKuhAMxpgE4CsA3g7gfADvZ4ydX9ujKozLasLtF/SgzWrEVZu8uPvKIVzc167FLf7nzVvgshhx/dYu/NUdF+A7f3Q55oIxjPjC+J1lAuIEQRD1SF3EMBhjVwL4POf8VvX3zwIA5/xv8m1TDzEMID0Zb9Cbu7R/OhCF22aGWR3Mc3wqgMdeH8fHbtpMRXYEQVSd1cQw6iVLqhfAqO73MQCX1+hYSsJlNcG1zFjK7PnaW9a48OnbtlX6sAiCIMpOXbikAOSK/iwxfRhj9zLG9jLG9s7MzFThsAiCIAhBvQjGGAC9U78PwLnslTjnD3HOd3POd3d1UdMzgiCIalIvgvEagM2MsfWMMTOAuwA8UeNjIgiCIHTURQyDcy4zxj4K4GcAJABf45wfrvFhEQRBEDrqQjAAgHP+JIAna30cBEEQRG7qxSVFEARB1DkkGARBEERRkGAQBEEQRVEXld4rgTEWAHCsyNU7AcyW8c+3A1isw31VYn/1fO4aYX+tdP7o3NXX/oDMcyh+HuScr6wugXPekF8A9lZi3SL391A97qtC+6vbc9cg+2uZ80fnrr72l30Oy3E+ySW1Mn5Sp/uqxP7KTb2/Xzp/9bGvSlDP564S+ys7jeyS2suLbKBVyrpEJnTuVgedv5VD52716M9hOc5nI1sYD1VoXSITOnerg87fyqFzt3oeyvPzimhYC4MgCIKoLo1sYRAEQRBVpCEFgzHWzxh7gTF2hDF2mDH2MXV5B2PsGcbYCfW7R11+C2NsH2PsTfX7jbp97VKXDzPGHmCNOGi3BMp87u5njI0yxoK1ej/VplznjzFmZ4z9lDF2VN3PF2r5vqpBmT97TzPG3lD386/q1M6mp5znULfPJxhjh4o6gHKncVXjC0APgEvUn10AjkMZ7fq3AD6jLv8MgC+qP+8EsE79+QIA47p97QFwJZSZHE8BeHut318Dnbsr1P0Fa/2+Gu38AbADuEH92QzgV/TZK+mz16Z+ZwB+COCuWr+/RjuH6rL3APgPAIeK+vu1PgFlOomPA7gFSiFfj+7EHsuxLgMwB8CirnNU99r7Afxbrd9PI5y7rOUtIxiVOH/qa/8M4EO1fj+Ndu4AmKCko/5Ord9Po51DAE4AL6qCU5RgNKRLSg9jbAiKir4KYA3nfAIA1O/dOTb5LQCvc85jUEbDjuleG1OXtQSrPHctT7nOH2PMDeBdAJ6r5PHWE+U4d4yxnwGYBhAA8IMKH3LdUYZz+FcA/gFAuNi/2dCCwRhzQjFHP8459xex/nYAXwTwYbEox2otkTZWhnPX0pTr/DHGjAC+C+ABzvmpShxrvVGuc8c5vxXK07QFwBLffDOz2nPIGNsBYBPn/LFS/m7DCgZjzATlhH2Hc/4jdfEUY6xHfb0HytOHWL8PwGMA7uacn1QXj0EZByvIORq22SjTuWtZynz+HgJwgnP+T5U/8tpT7s8e5zwKZTrnHZU+9nqhTOfwSgC7GGNnoLiltjDGfl7obzekYKiZTA8DOMI5/0fdS08AuEf9+R4o/j1h8v8UwGc55y+JlVXTLcAYu0Ld591im2alXOeuVSnn+WOM/TWUhnMfr/Rx1wPlOneMMafu5mgEcDuAo5V/B7WnjPe+Bznn6zjnQwCuAXCcc359wQOoddBmhYGea6C4jg4COKB+3Q7AC8UPfEL93qGu/78AhHTrHgDQrb62G8AhACcB/AvUYsZm/SrzuftbKFZaSv3++Vq/v0Y5f1CsWQ7giG75H9X6/TXIuVsD4DV1P4cBfBmAsdbvr5HOYdY+h1Bk0JsqvQmCIIiiaEiXFEEQBFF9SDAIgiCIoiDBIAji/2/vfkGkiqI4jn8PjkUQLVaxiSALYhIVs90i4q67SRCsgsVkUxEto2HFP0VsYlBMCyJ2EZMWwxZhXUXrMdw7uAzzlrvy1hnk+4mHx+HeMod7efN7UhMHhiSpiQNDktTEgSFtg4i4GBHzW3j+QHNiqDQlg2kvQPrfRMQgM4fTXofUNweGNEENdntJCXY7QomRngcOAbcoSZ9fgQuZuVpjFd4Cx4HnEbGbkuJ7o+b2DCmR5p+Apcxci4ijwDIl/O3Nv9ud9He8kpK6HQTuZ+Yc8B24RPlX8ZnMHP3YX9/w/N7MPJWZN8f6PAKu1D7vgWu1/gC4nJnHtnMTUl88YUjdvuSf/J0nwFXKR2hel0gfdgCrG55/Ot4gIvZQBslKLT0Enk2oPwZO978FqT8ODKnbeG7OD+DDJieCn1voHRP6SzPNKymp2/6IGA2Hs8A7YN+oFhE763cGOmXmOrAWESdr6TywkpnfgPWIOFHr5/pfvtQvTxhSt4/AQkTco6SA3gVeAXfqldIAuE1JTN3MAjCMiF3AZ2Cx1heB5Yj4VftKM820WmmC+pbUi8w8POWlSDPDKylJUhNPGJKkJp4wJElNHBiSpCYODElSEweGJKmJA0OS1MSBIUlq8hv9TZTHg6okdwAAAABJRU5ErkJggg==\n", "text/plain": [ - "" + "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], @@ -2316,13 +2291,11 @@ }, { "cell_type": "code", - "execution_count": 11, - "metadata": { - "collapsed": true - }, + "execution_count": 29, + "metadata": {}, "outputs": [], "source": [ - "first_august_week = [pd.Period(pd.Timestamp(y, 8, 1), 'W')\n", + "first_september_week = [pd.Period(pd.Timestamp(y, 9, 1), 'W')\n", " for y in range(1985,\n", " sorted_data.index[-1].year)]" ] @@ -2338,18 +2311,16 @@ }, { "cell_type": "code", - "execution_count": 12, - "metadata": { - "collapsed": false - }, + "execution_count": 37, + "metadata": {}, "outputs": [], "source": [ "year = []\n", "yearly_incidence = []\n", - "for week1, week2 in zip(first_august_week[:-1],\n", - " first_august_week[1:]):\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", + " \n", " yearly_incidence.append(one_year.sum())\n", " year.append(week2.year)\n", "yearly_incidence = pd.Series(data=yearly_incidence, index=year)" @@ -2364,29 +2335,29 @@ }, { "cell_type": "code", - "execution_count": 13, - "metadata": { - "collapsed": false - }, + "execution_count": 38, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 13, + "execution_count": 38, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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FzoqamfVLTU1NNDU1dVku1zoNSauBf4mIezJ5iylOXi+W9FVgcETUponwJyhO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\nZpabg4aZmeXmoGFmZrn9f1gAJxPxoq2fAAAAAElFTkSuQmCC\n", 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\n", 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"1989 0\n", + "1990 0\n", + "2020 221186\n", + "2021 376290\n", + "2002 516689\n", + "2018 542312\n", + "2017 551041\n", + "1991 553090\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": 14, + "execution_count": 39, "metadata": {}, "output_type": "execute_result" } @@ -2465,29 +2439,29 @@ }, { "cell_type": "code", - "execution_count": 15, - "metadata": { - "collapsed": false - }, + "execution_count": 34, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 15, + "execution_count": 34, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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