diff --git a/module3/exo2/exercice.ipynb b/module3/exo2/exercice.ipynb index 01e5fc867ef92995fd6f131d719c5e32997f2451..8e083d48567d8edf8fbdbe919a903f08853605e3 100644 --- a/module3/exo2/exercice.ipynb +++ b/module3/exo2/exercice.ipynb @@ -9,10 +9,8 @@ }, { "cell_type": "code", - "execution_count": 1, - "metadata": { - "collapsed": false - }, + "execution_count": 4, + "metadata": {}, "outputs": [], "source": [ "%matplotlib inline\n", @@ -30,13 +28,11 @@ }, { "cell_type": "code", - "execution_count": 2, - "metadata": { - "collapsed": true - }, + "execution_count": 5, + "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\"" ] }, { @@ -63,27 +59,25 @@ }, { "cell_type": "code", - "execution_count": 3, - "metadata": { - "collapsed": false - }, + "execution_count": 6, + "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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1773 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 202112 7 11653 8508 14798 18 13 \n", + "1 202111 7 9386 6678 12094 14 10 \n", + "2 202110 7 9056 6452 11660 14 10 \n", + "3 202109 7 10988 7938 14038 17 12 \n", + "4 202108 7 11281 8361 14201 17 13 \n", + "5 202107 7 13561 10315 16807 21 16 \n", + "6 202106 7 13401 9810 16992 20 15 \n", + "7 202105 7 12210 8988 15432 18 13 \n", + "8 202104 7 12026 8826 15226 18 13 \n", + "9 202103 7 8913 6375 11451 13 9 \n", + "10 202102 7 7795 5430 10160 12 8 \n", + "11 202101 7 10525 7750 13300 16 12 \n", + "12 202053 7 11978 8406 15550 18 13 \n", + "13 202052 7 12012 8285 15739 18 12 \n", + "14 202051 7 10564 7574 13554 16 11 \n", + "15 202050 7 7063 4744 9382 11 7 \n", + "16 202049 7 5026 3145 6907 8 5 \n", + "17 202048 7 6683 4312 9054 10 6 \n", + "18 202047 7 4999 2963 7035 8 5 \n", + "19 202046 7 3752 1963 5541 6 3 \n", + "20 202045 7 3696 2016 5376 6 3 \n", + "21 202044 7 4391 2375 6407 7 4 \n", + "22 202043 7 4376 2505 6247 7 4 \n", + "23 202042 7 4000 1979 6021 6 3 \n", + "24 202041 7 3961 2099 5823 6 3 \n", + "25 202040 7 2078 675 3481 3 1 \n", + "26 202039 7 1049 237 1861 2 1 \n", + "27 202038 7 2251 781 3721 3 1 \n", + "28 202037 7 1584 405 2763 2 0 \n", + "29 202036 7 919 100 1738 1 0 \n", + "... ... ... ... ... ... ... ... \n", + "1552 199126 7 17608 11304 23912 31 20 \n", + "1553 199125 7 16169 10700 21638 28 18 \n", + "1554 199124 7 16171 10071 22271 28 17 \n", + "1555 199123 7 11947 7671 16223 21 13 \n", + "1556 199122 7 15452 9953 20951 27 17 \n", + "1557 199121 7 14903 8975 20831 26 16 \n", + "1558 199120 7 19053 12742 25364 34 23 \n", + "1559 199119 7 16739 11246 22232 29 19 \n", + "1560 199118 7 21385 13882 28888 38 25 \n", + "1561 199117 7 13462 8877 18047 24 16 \n", + "1562 199116 7 14857 10068 19646 26 18 \n", + "1563 199115 7 13975 9781 18169 25 18 \n", + "1564 199114 7 12265 7684 16846 22 14 \n", + "1565 199113 7 9567 6041 13093 17 11 \n", + "1566 199112 7 10864 7331 14397 19 13 \n", + "1567 199111 7 15574 11184 19964 27 19 \n", + "1568 199110 7 16643 11372 21914 29 20 \n", + "1569 199109 7 13741 8780 18702 24 15 \n", + "1570 199108 7 13289 8813 17765 23 15 \n", + "1571 199107 7 12337 8077 16597 22 15 \n", + "1572 199106 7 10877 7013 14741 19 12 \n", + "1573 199105 7 10442 6544 14340 18 11 \n", + "1574 199104 7 7913 4563 11263 14 8 \n", + "1575 199103 7 15387 10484 20290 27 18 \n", + "1576 199102 7 16277 11046 21508 29 20 \n", + "1577 199101 7 15565 10271 20859 27 18 \n", + "1578 199052 7 19375 13295 25455 34 23 \n", + "1579 199051 7 19080 13807 24353 34 25 \n", + "1580 199050 7 11079 6660 15498 20 12 \n", + "1581 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 23 FR France \n", + "1 18 FR France \n", + "2 18 FR France \n", + "3 22 FR France \n", + "4 21 FR France \n", + "5 26 FR France \n", + "6 25 FR France \n", + "7 23 FR France \n", + "8 23 FR France \n", + "9 17 FR France \n", + "10 16 FR France \n", + "11 20 FR France \n", + "12 23 FR France \n", + "13 24 FR France \n", + "14 21 FR France \n", + "15 15 FR France \n", + "16 11 FR France \n", + "17 14 FR France \n", + "18 11 FR France \n", + "19 9 FR France \n", + "20 9 FR France \n", + "21 10 FR France \n", + "22 10 FR France \n", + "23 9 FR France \n", + "24 9 FR France \n", + "25 5 FR France \n", + "26 3 FR France \n", + "27 5 FR France \n", + "28 4 FR France \n", + "29 2 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", + "1552 42 FR France \n", + "1553 38 FR France \n", + "1554 39 FR France \n", + "1555 29 FR France \n", + "1556 37 FR France \n", + "1557 36 FR France \n", + "1558 45 FR France \n", + "1559 39 FR France \n", + "1560 51 FR France \n", + "1561 32 FR France \n", + "1562 34 FR France \n", + "1563 32 FR France \n", + "1564 30 FR France \n", + "1565 23 FR France \n", + "1566 25 FR France \n", + "1567 35 FR France \n", + "1568 38 FR France \n", + "1569 33 FR France \n", + "1570 31 FR France \n", + "1571 29 FR France \n", + "1572 26 FR France \n", + "1573 25 FR France \n", + "1574 20 FR France \n", + "1575 36 FR France \n", + "1576 38 FR France \n", + "1577 36 FR France \n", + "1578 45 FR France \n", + "1579 43 FR France \n", + "1580 28 FR France \n", + "1581 5 FR France \n", "\n", - 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0201842378325145.010519.0128.016.0202112711653850814798181323FRFrance
1201841380485098.010998.0128.016.020211179386667812094141018FRFrance
2201840374094717.010101.0117.015.020211079056645211660141018FRFrance
3201839371744235.010113.0117.015.0202109710988793814038171222FRFrance
4201838361273482.08772.095.013.0202108711281836114201171321FRFrance
5201837346442200.07088.020210773.011.0135611031516807211626FRFrance
6201836332151349.05081.052.08.0202106713401981016992201525FRFrance
720183531506239.02773.020.04.0202105712210898815432181323FRFrance
820183431368116.02620.020.04.0202104712026882615226181323FRFrance
9201833319625.03919.030.06.02021037891363751145113917FRFrance
1020183231839183.03495.030.06.02021027779554301016012816FRFrance
1120183132048242.03854.030.06.0202101710525775013300161220FRFrance
1220183031951202.03700.030.06.0202053711978840615550181323FRFrance
1320182931951252.03650.030.06.0202052712012828515739181224FRFrance
142018283165452.03256.031.05.0202051710564757413554161121FRFrance
15201827332691145.05393.052.08.0202050770634744938211715FRFrance
16201826337581493.06023.063.09.020204975026314569078511FRFrance
17201825345802220.06940.020204873.011.066834312905410614FRFrance
18201824332231351.05095.02020477499929637035852.08.011FRFrance
192018232020467375219635541631207136.02278.020.04.09FRFrance
2020182220204573696201653766332021330.05074.052.08.09FRFrance
2120182132537763.04311.02020447439123756407741.07.010FRFrance
2220182032694967.04421.02020437437625056247741.07.010FRFrance
2320181920204274000197960216310250.02098.020.04.09FRFrance
2420181820204173961209958236335411416.05666.052.08.09FRFrance
25201817202040720786753481325731003.04143.042.06.015FRFrance
26201816348182724.06912.020203974.010.010492371861213FRFrance
2720181520203872251781372131631112168.020454.02519.031.015FRFrance
2820181432266618092.027240.03528.042.0202037715844052763204FRFrance
2920181333268025536.039824.05039.061.020203679191001738102FRFrance
...
174319852132609619621.032571.04735.059.015521991267176081130423912312042FRFrance
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174719851733405324366.043740.06244.080.01556199122715452995320951271737FRFrance
174819851635036236451.064273.09166.0116.01557199121714903897520831261636FRFrance
174919851536388145538.082224.011683.0149.015581991207190531274225364342345FRFrance
17501985143134545114400.0154690.0244207.0281.015591991197167391124622232291939FRFrance
17511985133197206176080.0218332.0357319.0395.015601991187213851388228888382551FRFrance
17521985123245240223304.0267176.0445405.0485.01561199117713462887718047241632FRFrance
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176819844837862060634.096606.0143110.0176.015771991017155651027120859271836FRFrance
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177219844436842220056.0116788.012537.0213.015811990497114302610205FRFrance
\n", - "

1772 rows × 10 columns

\n", + "

1582 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 202112 7 11653 8508 14798 18 13 \n", + "1 202111 7 9386 6678 12094 14 10 \n", + "2 202110 7 9056 6452 11660 14 10 \n", + "3 202109 7 10988 7938 14038 17 12 \n", + "4 202108 7 11281 8361 14201 17 13 \n", + "5 202107 7 13561 10315 16807 21 16 \n", + "6 202106 7 13401 9810 16992 20 15 \n", + "7 202105 7 12210 8988 15432 18 13 \n", + "8 202104 7 12026 8826 15226 18 13 \n", + "9 202103 7 8913 6375 11451 13 9 \n", + "10 202102 7 7795 5430 10160 12 8 \n", + "11 202101 7 10525 7750 13300 16 12 \n", + "12 202053 7 11978 8406 15550 18 13 \n", + "13 202052 7 12012 8285 15739 18 12 \n", + "14 202051 7 10564 7574 13554 16 11 \n", + "15 202050 7 7063 4744 9382 11 7 \n", + "16 202049 7 5026 3145 6907 8 5 \n", + "17 202048 7 6683 4312 9054 10 6 \n", + "18 202047 7 4999 2963 7035 8 5 \n", + "19 202046 7 3752 1963 5541 6 3 \n", + "20 202045 7 3696 2016 5376 6 3 \n", + "21 202044 7 4391 2375 6407 7 4 \n", + "22 202043 7 4376 2505 6247 7 4 \n", + "23 202042 7 4000 1979 6021 6 3 \n", + "24 202041 7 3961 2099 5823 6 3 \n", + "25 202040 7 2078 675 3481 3 1 \n", + "26 202039 7 1049 237 1861 2 1 \n", + "27 202038 7 2251 781 3721 3 1 \n", + "28 202037 7 1584 405 2763 2 0 \n", + "29 202036 7 919 100 1738 1 0 \n", + "... ... ... ... ... ... ... ... \n", + "1552 199126 7 17608 11304 23912 31 20 \n", + "1553 199125 7 16169 10700 21638 28 18 \n", + "1554 199124 7 16171 10071 22271 28 17 \n", + "1555 199123 7 11947 7671 16223 21 13 \n", + "1556 199122 7 15452 9953 20951 27 17 \n", + "1557 199121 7 14903 8975 20831 26 16 \n", + "1558 199120 7 19053 12742 25364 34 23 \n", + "1559 199119 7 16739 11246 22232 29 19 \n", + "1560 199118 7 21385 13882 28888 38 25 \n", + "1561 199117 7 13462 8877 18047 24 16 \n", + "1562 199116 7 14857 10068 19646 26 18 \n", + "1563 199115 7 13975 9781 18169 25 18 \n", + "1564 199114 7 12265 7684 16846 22 14 \n", + "1565 199113 7 9567 6041 13093 17 11 \n", + "1566 199112 7 10864 7331 14397 19 13 \n", + "1567 199111 7 15574 11184 19964 27 19 \n", + "1568 199110 7 16643 11372 21914 29 20 \n", + "1569 199109 7 13741 8780 18702 24 15 \n", + "1570 199108 7 13289 8813 17765 23 15 \n", + "1571 199107 7 12337 8077 16597 22 15 \n", + "1572 199106 7 10877 7013 14741 19 12 \n", + "1573 199105 7 10442 6544 14340 18 11 \n", + "1574 199104 7 7913 4563 11263 14 8 \n", + "1575 199103 7 15387 10484 20290 27 18 \n", + "1576 199102 7 16277 11046 21508 29 20 \n", + "1577 199101 7 15565 10271 20859 27 18 \n", + "1578 199052 7 19375 13295 25455 34 23 \n", + "1579 199051 7 19080 13807 24353 34 25 \n", + "1580 199050 7 11079 6660 15498 20 12 \n", + "1581 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 23 FR France \n", + "1 18 FR France \n", + "2 18 FR France \n", + "3 22 FR France \n", + "4 21 FR France \n", + "5 26 FR France \n", + "6 25 FR France \n", + "7 23 FR France \n", + "8 23 FR France \n", + "9 17 FR France \n", + "10 16 FR France \n", + "11 20 FR France \n", + "12 23 FR France \n", + "13 24 FR France \n", + "14 21 FR France \n", + "15 15 FR France \n", + "16 11 FR France \n", + "17 14 FR France \n", + "18 11 FR France \n", + "19 9 FR France \n", + "20 9 FR France \n", + "21 10 FR France \n", + "22 10 FR France \n", + "23 9 FR France \n", + "24 9 FR France \n", + "25 5 FR France \n", + "26 3 FR France \n", + "27 5 FR France \n", + "28 4 FR France \n", + "29 2 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", + "1552 42 FR France \n", + "1553 38 FR France \n", + "1554 39 FR France \n", + "1555 29 FR France \n", + "1556 37 FR France \n", + "1557 36 FR France \n", + "1558 45 FR France \n", + "1559 39 FR France \n", + "1560 51 FR France \n", + "1561 32 FR France \n", + "1562 34 FR France \n", + "1563 32 FR France \n", + "1564 30 FR France \n", + "1565 23 FR France \n", + "1566 25 FR France \n", + "1567 35 FR France \n", + "1568 38 FR France \n", + "1569 33 FR France \n", + "1570 31 FR France \n", + "1571 29 FR France \n", + "1572 26 FR France \n", + "1573 25 FR France \n", + "1574 20 FR France \n", + "1575 36 FR France \n", + "1576 38 FR France \n", + "1577 36 FR France \n", + "1578 45 FR France \n", + "1579 43 FR France \n", + "1580 28 FR France \n", + "1581 5 FR France \n", "\n", - "[1772 rows x 10 columns]" + "[1582 rows x 10 columns]" ] }, - "execution_count": 5, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -2128,10 +2103,8 @@ }, { "cell_type": "code", - "execution_count": 6, - "metadata": { - "collapsed": false - }, + "execution_count": 9, + "metadata": {}, "outputs": [], "source": [ "def convert_week(year_and_week_int):\n", @@ -2160,10 +2133,8 @@ }, { "cell_type": "code", - "execution_count": 7, - "metadata": { - "collapsed": true - }, + "execution_count": 10, + "metadata": {}, "outputs": [], "source": [ "sorted_data = data.set_index('period').sort_index()" @@ -2187,19 +2158,9 @@ }, { "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": 11, + "metadata": {}, + "outputs": [], "source": [ "periods = sorted_data.index\n", "for p1, p2 in zip(periods[:-1], periods[1:]):\n", @@ -2217,29 +2178,29 @@ }, { "cell_type": "code", - "execution_count": 9, - "metadata": { - "collapsed": false - }, + "execution_count": 12, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 9, + "execution_count": 12, "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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F/dUP3n/1V/CmN7nvl15aq2v94P3Vr9YmHP/4j+7zgAPc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\nVPU7dflcAZyrqofhxGd+tP0y4GxVfUMzK2EYIZi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\n", 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K3BztaxBwHXAScDIwOTUIZZLvB69Pn/DhW7cu923r1ebN4bj16NG1/Sg4xKPM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\n", 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dMBRR3OwYr1vJCxMSJg6UUmiGBc2w3AXU74tZRrfcoDHbFKQ0M8fNk483KFwsjTfuxBzyUSURUVXCUlJzrYVSwqtKInTTcOMN9jEBmmnBsmiBtcHhNJuutBwIIegLyrh0zHabBOTq5v+2KyzYntYtNxhPCHHjDqwALp+wki0WBLJCoJltJA6G5bpxWEZWssL/da7lUFwcSglqf9hugbGW1qFIQo5l4IUFpXMsB0coNNPf15TTHXSlOADAF955NT540x4AKDuopZ24//lZXPdnPyzwk7NOoZJAcna8LO5QzPUBAJJozylgAWnmD9cMy13A/F/nYEJ1RCHosRzKkRtzyH2sYVpI66Wtrf6wgsWEXT/SU+K6Atm4Q67lIDrnzMWB03q60q0EAPsn+tzbQaV4ttLxuTgA21fdDvzDT07i/EoK51dS2DMadY+vOuMoP337Fe7uGcjGHaIlFjrAbrXBXCssvqCblifmYC9kJ+bjCMii+5p+gFLqBKSZW8l+n5XFobTl4BYSlrhmg2EFc7E0+kJKSYsMKG45sGP2dS79XA6nGVS0HAghXySEzBFCnvUc+wgh5Dwh5Enn32s9932YEHKcEHKEEHKz5/hVhJBnnPs+TZwUDUKISgj5lnP8UULIZH3fYmXUElO83vv1Q/joPYebfTob4vhcDI+dXgIALOV19lxL6wgrIl576Wa84uIR9/i461YqLQ4hRXLnbbNrpJkWdCPrVqKU4oN3PoU/vuvZkq/TCgyLgtJsuwomjJVciF63Tv442bgjFqUEtT+kYDmhI57WS1oXQFYI8mMOAHjGEscXVONW+jKAW4oc/2tK6X7n33cBgBCyF8BtAPY5z7mDEMK2Rp8B8G4Au51/7DXfBWCZUroLwF8D+OQG38uGCcoiNNPK6aNzdjGJo7PxkgVgfuMbj51zb+eLw2pKR2+wcCfKxKHcIhZWJTeV1bUcDJqzu9ZMC6tJDacXq29P0QyYVcN258ytVGnQk+5x6yTz/v9Zz6RSlsNAWMZiIoOYU0VdCre2ISdbiVkOXBw4raeiOFBKHwCwVOXrvR7ANymlGUrpKQDHAVxDCNkMoIdS+jC1k8y/CuANnud8xbn9zwBuZFZFs2A7Sm/c4YcvzAKwd59+xzAtfOeJ8ziwzZ40tphvOaR09BQRB9etVMb9EVFFVyDZopUxrZzddcawm9RNLSfX1dyu0bB4SLFspXLkxBzyLQdPIWExBsIq0rqFuVimvDgUtRxYzMHfcRxOd1BLQPr9hJCnHbdTv3NsDMA5z2OmnGNjzu384znPoZQaAFYBDBb7g4SQdxNCDhJCDs7Pzxd7yIYIFBOHI/brt0Ovm8dOLWEpoeEd104CQMHAmNUS4nDJWC9uv2YrXrZ7qORrh1UpG5B2LQcrZwHN6PZIzbRuFVgtrSRrOazPrVSufUZ+F9t8BpxpeudXUmVFVy2TrcQtB44f2Kg4fAbATgD7AcwA+CvneLEdPy1zvNxzCg9S+llK6QFK6YHh4eFiD9kQ+YtGImPgEacVdTtYDvcevgBVEnDji0YQDUhFYg4GeoosVAFZxCfedClGewIF9zHCiuQukDkxhzy3EhNWNlfZD+S7lUKuW6m6mIMiCgWWg7d5YTHYND3TolXFHNQiMYd22JBwOp8NiQOldJZSalJKLQCfA3CNc9cUgAnPQ8cBTDvHx4scz3kOIUQC0Ivq3Vh1IaDkWg5PnF2BZloYDCswfJ5zblkU9x6exS/sGUZIkTAQVgrFoUTMoRrCquipc/BkKxm5u2tmSbAZEH6Ana9rOVTtVrLfW29ILh1zUEpkK0UU93a5VNailgNPZeX4iA2JgxNDYLwRAEtTuRvAbU4G0nbYgefHKKUzAGKEkJc48YS3A7jL85x3OLffDOCHtMmO64DzRWU74yWnaGy8P5jjPvEjT59fxYW1NG7etwkAioqD7VbaWNZyWM1aDsXqHABgxTPa8ryfxME5X7Y7X69bqS8ol4w5lHIrMcvBfkzlVNbi2Uo85sBpPRVXDELINwC8HMAQIWQKwB8DeDkhZD9s989pAO8BAErpYULInQCeA2AAeB+llH3Sfxt25lMQwH86/wDgCwC+Rgg5DttiuK0eb2w9uDtK50vJmqb1hxXMrK5vMH2zOeikr778ItvNNhhWcH4le86GaSGeMTZsOUScmAOl1B0X6q1zAJDT7tzPbiVJFKCIQkW3km7Y760/pGA2lvv/X8mtNBD2igPPVuK0LxXFgVJ6e5HDXyjz+I8B+FiR4wcBXFLkeBrArZXOo5GwgDRzN7CmaQNhxfcxB3bObPHvDyl49vyaez97L8ViDtUQUiRY1Laq2E48Y1g57rZVj+UwteyfdNZ8txLACh7Lp7JqHrfSyYVEzn1xp7OtLBY3unsCMkSB2DGHDWcrcXHgtJ6ubZ/hJT+VNZbWIQoEPQE5J/DqR3TTAiGA6DRqG4jYbiXmmWPDbTZuOdjXJp4x3EVLz0tlZZaDQHwWc9BzLQfA/r9ej1spvyaiXF8lwO642h+yr/V6K6Sz2UrcrcRpPVwc4LEc9KzlEA1IkEXie3HImBZkMTsTYDCsQHNcSYAdbwA2Lg7ezqxs0dLyUllXnL+xdSDkT7eSZ3ceUsTKbiUmDiEZSc2E5bEeS3Vk9cLiDuXcSkwUeIU0x69wcUD2C8osh7WU7oiDAMPnAWndoFA9Lg62MC0n7AV7zemrVKzOoRrYQhjPGG7A3nYzZRfYFcdy2DUSRSxtuILUajSzuFupUpNFJnx9zrX82iNn8G9PnAdQXXCfxR3KNt4rk63Eu7Jy/AAXB3jdSvaXMubUBUii4PTn8a9A6KYF2bP4sVTKxYQ9n6JWy4G5UJKamePu8BaHsWyl3aN2g0K/ZCyxHbjiFQe5suXA6gyYoH70nsP4hwdOAgAurKaxqUxdCJAVh4haxq1UpCurwi0Hjo/g4oBi2UqOW8nx4/s5KK0ZljtVDLDbNwDZ/kpMHDaayhpyZzoYOYuWN8WTxRy2D4YBAHMxf2R45WcrAfb/dTVuJVkkbrzFosDMqi14F9bS2NxbvvNsf7iyW6mY5SA6E+J4zIHjB7g4AAhIudlKa2kdUcdyAODruINuWjk74wHHFcLEofaAtMetVMFyGB+wF82FuD9aaBTLVgpV5Vay4zis0E0RBawkdSzEM1hJ6tjUW95y2D4YxkBYcYW1GGqRbCX2t3i2EscPcHGAnWGiSIK7+HkD0gB8XQjHAtKMgUiuOKymdEgCyZnjsB5yAtJey8EjDsw6mXCGBy3G/TFyNZuttD63km5SyKKAizZFsXskgt96+U4AwM/PLAPIzoouxTuuncR9v3cDyvWPLGY5AIAqix1jOXzv2Rl895mZVp9G20GpP1zZXBwcgrKItMdy6AnI7qLr5xYaumcMJmCP9lQkwa3yZq0zNtro1hUHzczZ0SY0E+wlmVtpKKIiIAtY8Is4GBZEgbgWIAAEFamkODx0fAHH52LQHMHdNhjGfR/8BVzvNCY85IjDpp7ybiVFEjAYUcs/pkjMAbCFrFNiDp/76Sl8/qcnW30abcVqSsev/cMj+INvP93qU+neSXD5BGQBKd1OW4xn7BGPUhtYDvluJUIIhsIK7npiGsMRFctJbcOZSoB3jrRREJBWRAEWpUjrdq1FQBYwGFax6CO3ktdqAEq7lSyL4rf+8RBeefEIZFGA4onjbHFamx+q0nKoBpZeW2A5SJ3jVkpkDAjN7b7f1iQ1A2/9/CN49vya6w5uJdxycLDnSFtOqwi7gElug5iDludWAoD/8/pLMNYfxJ/+x/P43rMXahIHSRQQlEXE0nrOtDwmDu4gHVm0hSmqYt5HlkO+ONhuJaPAbD86F8Na2kAsbRRkgI1GVQjE7mMFoGwX22oZ7w9BEQWM9uRaGKokdkxX1vw4Fac8DxxdwLPn1zDWF/RFOjgXB4eAUznL2k14Yw5+zlbSDZrjVgKAV+0dxb/89rX43Rt3w6Ll8+2roScoYTWl51oOmgFZEgpmJQyFFf9YDrpVsDMPKiIsWtii4vHTtlUQdzrMegVXEgVs6glAM+xOvYENxm+8XD05gKc/chNG8oRGlYWOiTnkx6k45TmzaLdquWHPUE6/slbB3UoOAdl2N2TFQYbl7C79HHPImBZ6leKWwQdetRs9QRkT/eV95JXoDcpYSxmuD9+0KJIZE7JIIDpuA5YOPBRR8Yyzw241GcPMqY4Gsqm5ad3MWeRZA8OEZqDHlAussc19QUyvpitmKq2HYiLTWW4lc8Oxrm7kzFIS/SEZ4/0hpHWr4DPabLjl4BB0xIH5+nqCWcvBzxWr+QFpL4QQvOtl23GT0857o/QGZaymbLcSy92PZwzIogBVzrqVAGAoqmAxoeW0nGgVpdxKQOHAn4OO5ZDMmAVxHCAbd6hU41ArqiR2hDhkDDNnCBSnMmcWE9g2GHa7HHhb4bcCLg4OQYW5lez/kGhOtlLrF7pS2AtZY3dnTBwyhumKQ1IznZhD7iCdwbAK06K+8Jna4lDoVgJyZzpMr6RwfiUFUSCOW8nKCUgD2SD05jpaDsVQpM5wK7EBUWnd9EVaZjtwZjGJbYMh9DmNG1dSrXUtcXFwCMgCUlpuzIGlQBqWf3dyxQLS9aYn4IiDbiHqtIRIaI7lkB9ziNoBVj+ks2pFLIeQU9jmnQbHspCu2tpvT7UzaME1HWOWQx0ylcrRKamsrA7Gov7O9vMLmmFheiWFbQMh9DkJJKw/Wqvg4uAQcLKV1rwBaad9hmb498Ndzq1UL3qCMtbStuXAZhRQCsgSyWYrKdmANNDaKum5tTSOzcaKxhyKuZWen1mDJBBcNdnv1HOYBeKwpZe5lZogDh3gVop7iiR5xlJlppaTsCiwdTDsNnxcbbHlwAPSDkE3IO3EHAKym87oe8tBaqw49AZlxNIGTEXMyXyyYw7232aBXj9YDp+67yh+emwBgxGlYKZCMbfS0dkYdgyH3R3bakrHcDRXBC6f6MPl4704sG2goefeKams3gr6tG5ueNhUt3BmyR6SleNWanHMgYuDA0tlXUvZ+fsBWYTEGu/52CzWmmA5sL5MSc3MWWy9biWWVTEUab04rCR1d64EcwcxmIh5p8EdmY3h8vE+hJxq8OWkXhDHGY6quOv9L2vkaQPonFRWr+XQCW6yRnN2MSsOzHW7zAPS/sBrObCgazsUwekmLcisqTfeIjpvp9H8IjjAnp4mCqSltQ7MjXF+JVVwbfLdSomMgXNLKVw0GnW7sK6l9YbHcUrRKW4lFpAGwDOWquD0YgIhRcSw04JGkYSWB6S55eDAiqMW45q7ALZD+wzNzG3Z3Qi8HV29IzJlkbiWA9uRCwLBQFhpqeXgXYyKtc8Asm6lY3NxAMCeTVGwq0gpWigOnZHKmutWav/302jOLiaxdSDk1oX0BWWs8IC0P2CLyHw84+6UZZ9nK5kWhWlRKGJjC2V6cyyHPLeSnJutBNiupVYGpL2LUclUVsdyODobAwDHcsiNp7QCVRJgWtTXhZfVwAPS1fPQ8QU8cGwel471usf6Qwq3HPwCWzSmV1LYMWwPrZEF5lbyp+XA3F1yE+ocGF63kt0+g2UrZY/3h+SWlv+Xsxzy3UpHL8QQkAVMDIRyajPy6xyahTsNzrByusm2G17LIVWhRXqn89WHTyOWNnDdriHsn+jLue/cUhLv+dohbB8K43/+4l73eG9IbnlAun0/fXWGLRozq2lcOmb/B2bdSv7cxbHK7cansmYX/qAnUJ9TBOdJGQ2VaYvdDHLEIS+VVRJtfy47vyOzMeweiUIUCMJq1spopeUAFPZ+ajfiedlK3UpaN/G/7zqMv7j3CH7lMw+52ZCMg2eWEMsY+NSv7kdvKLsJ6+fi4B+unhzAKy4axt++5Qr8fzdfBAC+n+egG4UzkhuB13JQZcG9Lt6YQ9Az9SysijnZQM2mnFsJsNuQJ53zOz4Xx+4Re/Z1WM21iloBa0fS7umsuW6l9n4vtXBh1R6Ze/3uIZgWxfRK7gjduBO4H8nrztsXbL1biYuDw8RACF/6jWvwS5dtgeDsjP0+CY5ZDo3e5QZl0b0WAUl0xUjy9lbyuJVCipgzY7rZpD1zHPLdSoBt2bDFaymhYdj2U0imAAAgAElEQVSpzQj7JOYAoO3TWRMZA6LzPepmy2HamT1+zeRAzu+MOCu6VXPrQPpCMpaTekHrEcO08MDRecyuNX5OOxeHMvi9fYbuVG43eiEjhLhFTF7LQSnSPgNw3EqZ1lkOKc3ExZuiAIqLQ0SV3AZ7GcNyRSGseNN0WxNzYJZO+7uVTAw41fKZLhaHGcdSuGpbf87vDHsgUuFEwL6QAs2wCjK9lhIa3v7Fx/D952YbeNY2XBzKwHzrfrEcKKX46sOnMbVsF8xopv2la7RbCci6llRJdBfcYqmsgOO2aVHDNUopMoaFyyf6EJRFbO4r7KIaUkUkNMMNmjJxEAXifklbbjm0efpnImNg0BGHbk5lnXEshcsm+iCQ7O+MeMZARJUKWpuXar634iRN9IcaX3HOxaEMfiuC+9nxBfzvuw7j7350AkC251Mzdrk9rjgIrotJ9hTBefvOBxUJlLZmUWA77k29ATz2P27ETXtHCx4TViQkMobrWop4AtEsnbVl4iB3iFtJM9xq+e52K6XRH5IRUSWM9gSKxByMnBRqBlv885vvLSdssegLKg064yxcHMogCgQCaU37jGItrz/zY1sU7j18AYZpuaLVTMshIGdjDqXqHFjWT6IFQWmWNhmQREQDctFhM2FVRFIz3Speb6yB3W5VQJplnrW/W8lAb0iGQLq7zmFmJeXOANncGyi0HNKG28zSS2+QNbDMLSZllkMftxxajyQK0Jscc7iwmsZVf3Iffnps3j325LkVPHRiEddsH8BSQsMjJ5eaFpAG8i0HJ+YgCbhu1xB+47pJ7B6NuI8t1ha7WbCFyJs9lU/YCUjH89xK7D6gdTGHQWe3zVyH7UoiYyCiSO5s9m5lZjWdnQXSF8TMal7MQTNyPn+MvZt7EFUlfOWh0znHV5z6IS4OPkARBTfw2yzOryRhWBRPnVtxj9395DQCsoA73nolQoqI/3hmxk1lbYY49Dq1DqrT98X+uwRDERV//Mv7cs6BxR9aYTmwhSg/wOclrEqO5cDcSl7LwT73VrmVdg6HMdqj4oFjCy35+/UikTERViV3/G63Mu2xHLb0BjC9ksqJxcXSxd1KvSEZ73vlLtz/whwePJ79LLBmfGxaXCPh4lABSSRNz1ZaS9mL1smFhHtsJalhKKJiKKLilReP4L7nLmSL4JockM7WORT/u644ZFpgOehZt1IpQqqIeMYTkFaKuJVaJA6EEFy/exg/O7YA0wejVjeCZVEkNAMRVXS7HXcjiYyBtbThDoja3BtExrByuq0mSsQcAOCd105ivD+IT99/zD22ktShiEJOAkij4OJQAUkQmp6txOINpz3i4A1cXbwpioW45i6+ja6QBoDJwTB6AhLCqjdbqfjfZQtsK9xKbCEqN5g9rEjQDMu9zpFiMYcWtq64Yc8wVlM6np5aqfxgH2JnqtnXUpU7Y7LdRmDxBTYoirmXpleycYdSAWnA/gy/dMcgzixmXYwrSQ29oeKxtHrDxaECskianq3EFq1TJcSB/Vxy/I/NWMh+5cpxPPihV+ZYDqVEiQWnW+NWqkIcnOs3F8s4v3uylVjMocH9qspx/a4hEAI8cLQ9XUveFOGA1L1uJZaZxKYHMveSN+4QzxSPOTAGIyqWEprrilpJ6k1JYwW4OFREFoWmt89Yc8RhOam7Aah4JpvVEHEK0paczqfNcCsJAnE7sjJRKNXwj33Yky0Qh0w1MQfHJJ+L2V/SotlKLbQc+sMKLhvrzfE1txNxTywnIAtdm63kWg5588fZcUopEhkjp5llPkMRBZppIeZc0+Wk1pQ0VoCLQ0UkkUBvsu/Xm8bKrId4utByWHYth+bucuVKbiWlcE5zs6jGcmAT32bXMpAEklNF3eqANGPXSBTn2jRjKcdy6OJspQurtmU62mOLwlBYhSwS16JI6SYsirKWA6syZ8OzVlN6UzKVAC4OFZGF5lsOqykdzKV4etERB88Og/1cSjTPcvCiVAhIszTSZAsC0izmECwjDqzobS6WQTivOtUPlgNgjyVdiGdaUmVeK9kUYbGrs5ViaR0hJVsXJAgEg2EVSwlbNFhfpVIxByCb2rzo1DssJzX/iAMh5IuEkDlCyLOeYwOEkPsIIcecn/2e+z5MCDlOCDlCCLnZc/wqQsgzzn2fJs43khCiEkK+5Rx/lBAyWd+3WBuyRJoekF5L65gcDEMgwKn5rDiwrBo35sDEockLGfPHl/q7rM6htamsZSwH5/zm1tIFX0wmDs2+pvkMR1XoJi1aDOl32KCnwbA98rJbxSGhme5njRENSG42YrxIKnU+rAXJovNdt2MO/nErfRnALXnHPgTgfkrpbgD3O7+DELIXwG0A9jnPuYMQwr6lnwHwbgC7nX/sNd8FYJlSugvAXwP45EbfTCOws5WabzkMRRSM94dwajEJ06JIaqYn5pArDs3e5VayHFiPopYUwblupdLXhH0Z52OZnGC0fZ/jVmphQBqwfc1AYYVsO3DB8alv7gs4AWkL3z98Ad96/GyLz6y5JDWj4PPVE5QRy9iCX404DLmWg4aUZiJjWOjzizhQSh8AsJR3+PUAvuLc/gqAN3iOf5NSmqGUngJwHMA1hJDNAHoopQ9T207+at5z2Gv9M4AbSTPytKpEFknT22espQz0BmVMDoVxaiFe8CGK5lsOTXYreec5lCKkSK1pn1FNzMFxexkWLfD3XrdrCG97yVbsGIoUe2rTYG3EWUZVOzG9YltkPQEZqiwiY5j4/M9O4e9/crLVp9ZUEpnqLIdyMYf+sO1CWoxn3Bijb9xKJRillM4AgPNzxDk+BuCc53FTzrEx53b+8ZznUEoNAKsABjd4XnWnVZZDT0DGWF8QF1bTBZW8ruXgfFhY99hm4VZIlxGlkCK2JObA2kMXa9XN8H4Z83dtI9EA/vQNlzZdcPMZdnaM820oDjOrKTd9k7XPOLOYcDcz3UJSM9zkDEY0ILvT4NxZDmWylVRJRDQgYTGhuZPh2jWVtdgqRcscL/ecwhcn5N2EkIOEkIPz8/PFHlJ3ZEloerbSWkpHT1DGQNge+LHmfJiYKARlEQKxp4UpktCUghgvleocALvQrCXZSoaFgFz+mhTrpeQ3mOXA/Pd+4PhcPGfCWylmVtPY5IhDQBaQ0AzMrmWwmtJ90+G4GSQ0082MY/QEJMQcUWCWdTnLAbBdS7Y42J+FXp+nss46riI4P+ec41MAJjyPGwcw7RwfL3I85zmEEAlALwrdWAAASulnKaUHKKUHhoeHN3jq60MWSFOzlUyLIpYxHHFQndGCtg+X7XIJIe7tVgROlQqprICdsdSqIrhyLiUACOV0kPWnOPQGZcgi8Y3lYFkUb/i7B/Gln52q+NiZ1bRbFRyQRXgTrlo9F7mZJDPFLYe1tD3hrZpsJcAOSi/GM9lZDmF/Ww53A3iHc/sdAO7yHL/NyUDaDjvw/JjjeooRQl7ixBPenvcc9lpvBvBD6qP8PanJMQdmcvY6lgMAnHXK570fIlaQ1uwaB8AbkC63OxdbYjmkNLNsXyXATilkcYdyJn0rIcRuauiXgPRKSkc8Y1Q8H82wsBDPuAVf+YkBzG/eDSSLZCv1BCXopj2Qis2PriQOA2EFi3EtG3Pwi+VACPkGgIcBXEQImSKEvAvAnwF4NSHkGIBXO7+DUnoYwJ0AngPwPQDvo5SyFeK3AXwedpD6BID/dI5/AcAgIeQ4gA/CyXzyC7LY3JgDC1b1OpYDAJxdciyHQKGvvBW+8Wosh1AL3Url2nUz2Jc2P5vETwxFVN9YDizPPl4hjjS7lgalyLEcvHRT3CFRJFuJberWUjriGT1n+mApBl23UvNmOQBAxW0TpfT2EnfdWOLxHwPwsSLHDwK4pMjxNIBbK51Hq5CbPM+B5bX3BCQ3x/nskl3r4N1hMKFoRbHWpt4AArLgzngoRkgRW9I+I62bZYPRjLAqYiHuX7cSYMcdmjFIvhpY7CNRIebAXKBuzEHqXnFIFslW6nG+t2tpw25rrogVY4ZDEQVLiQyWEhqCsljRbVoveIV0BSShuW4lJg69QRn9rjjYbqWoml2MWxlzePWLRvHwh25023gXI6RISGRMfP/wBXz74LmSj6s31cQcABQUFPqRYR9ZDsydVCmOdMERM9aBlE0K3OS0kOgWcdAMC5ppFcQcehzLIZbWEUsbriVRjsGwAovaA79YO41mwMWhAlKz3Uos5hCSMRDKFYec7qGB1rmVBIG4wlWKkCIipRn4mx8ex9//5ESTzoyJQ3WWA+DfbCUAGIoqWExosHww14G5lUpZDofOLOPFH/+B2yxwc55baf9EH4DsDOROhxWA5mcrRXMsh0K3UzFYC41DZ5bxhiu21PlMS8PFoQKK2Nz2GVm3koygIrp54gFZgOSxElghXKt7AJUirIhIaCaOXIi5qXvNIK1bZfsqMbIxB/+Kw3DEzlbzQxCXtW8oNcDpRy/MYXYtgzsPTjlzP+zrysRh92gEUVVyX6fTcdNU8y2HYNZyKDfLwQtzL4cVEf/lZTvqfKal8efK4iOkJrfsXvO4lYBsV8aImmt+tjIgXQ1sx6SZVpPFoTq3Un6HWz8y5NQ6zPsgY4nFHErVOTxxbtm9zawGAAg4n8+tAyH0hxVfCF0zYPG2UpZDLG1UnOXAGHFccm+/drKixV5P/Lmy+Ihmt+xeTemQPKmWgxEmDnk9gNyAtG86jeTgHWOY0s2mueZSVYoDOz8/ZyuxKumFWOsXVOZWKpZkYFkUT59bxZuuGMNQRMXWwZB730Wborhu1yCu2zWEgbDSNTEHZmEVq3MAWLZS+VkOjJ3DYfz9267C7964u/4nWgb/bpt8gtLEmEMiY9itM4LZMYCsA2Mk70MU8blbKT9LI5Y2mhJMs11wVQSk28ByYDvGCz7IWHID0kXcSifm44hlDLx05yA+8Ko9bhAaAPpCCr7+X14CwLaC2YClToe5lfK/B2HF7m6wltYxu5rGtTsrdwoihOCWSzY15DzL4d9vhk+QBAGU2pXLYgN7GJ1eSOAVf/VjCIRg60B25zXoupWKm6fVpG22gvwdUyyt10UcPvvACfQFFfzq1RM5x4/OxhDPGMisNyDtY3HY0hcAIcCUD4b+sFiBZlpu2xbGE2ftWddXbO3PsRry6Q8peGFmrbEn6hNYX7F8y5QQe6Li6YUkYhkD24fCrTi9qvDvN8MnSI7bRjctiELjXBDnlpOgFNizKYpf2JNtDTJQQhxYDMKvlgMrRNsxFMbJhYRb3Fcr3z44hYAsFojDJ777PJ6dXkPaqM6txMz7fIvMT6iSiNFoAOeWUpUf3GAW45qd1m3Zoy0VKSv0T5xbQTQgYUeFhW4gLLvNIjudUpYDYG/snj5vC+okF4f2RfaIQyOLT1iflU/96uV40eYe93h/KXFoYRFcNbDF99pdgzi5kHDbgtRKSjdxbjlZYMnNrKbdmoBK7TMA4FeuHMfm3oCbd+5XJgaCOLfUWsshrZuIZwxMDoZwejGJhGbkBEafOLuM/RN9ECpY1gNhFWndQkozq6pib2dYd4BiMa2egIznHAuqkqC2En+uLD6CLb6NLoSLlRj84bqVSsQc/JqtdMVEH/7izZfh1qvsHf5ancQhrZtI61bBgumdexBUKl+T4aiK1+8fq/i4VjMxEGr5LGnmUppw3J3euMO5pSReuBDDy3YNVXwd1iusG6wHVg9SynIA7I3nWF+w4H6/4M+VxUew2oJGt9Ao1dud7dDyfeNRn1sOgkBw64EJ1y22Vqd0VrYjOzIbc49phpWTBdOs9gLNYKI/hAtraWSM1o3aXHCEd5sTT/Cms37/uVkAqCpgypIrlnzUhrxRsM9pqIiFxGodJgZCObVLfsO/Z+YTZMdUbrTlUGoqFLMcogUxB38HpBk9ntS9WqGUupPejl7IigOrAxjtsVM/q3ErtQsTAyFQak9XaxWLCUccBmwXiLdK+t5nL+DiTVFsG6zsHmEbha6wHDQDiiQU3byxjZ2fXUoAF4eKsP/cRqezxjMGAnLhh6lkQNrndQ6MiKfop1YyhuXOBvBaDqw5HXNh9QQ7J5TGMtfOtjDuwArgWCYSq3WYj2Xw+Jkl3LyvujTLkaidmsua83UySaepXjHYhmmyCkFtJZ3zLWoQ2WylBscc0kZBFTRgLw63XzOBG/bkDjcKKxIE4n8XiijYg4nqIQ4pTwvwox5xmHPE4TWXbsI12wfw4h0DNf8tvzAxYPukWxmUXnTEIetWsv8ffnZ8HpQCr947WtXrjPcHEVUlPHN+FaVaPXcKCc0oGm8Asp1Ztw9zcWhr3IB0g2MOiRLVkpIo4BNvuqzguCgQ3PHWK3HpeF9Dz6seRANSXQLSzKU0FFFwcj7h5tvPrjG3UgD7tvTW/Hf8xGg0AEUUWhqUXkpkEJAFDDkV28ytNLNqi/LO4UhVryMIBJeO9+KZqdXGnKiPSGbMktX3LJNvu88tB+5WqoDUxJjDels53HLJZl9nOzB6PEPVa4GJw+XjfTAs6qYDzsXSkATidrHtJASBYKw/iKkW1josJXQMhlXXtcniY0txDQFZWFda6mXjfXjhwlpLA+zNoJzlsHUwBFUSsGdTtMlntT64OFRAdgK+WqNjDunqOjS2I9GAVJciOOZWumnfKHoCEv78ey+AUorZtQyGo2rFPPt2ZWIg1NKYw3JSQ19IhioJEAXixhyWkhoGnWmF1XL5eC90k+L5mVjlB7cxSa205XDT3lE8+kc3upaYX+HiUAFZaF6dQ7GYQycQDUiIZepnOYz1hfCHt1yMh04s4u6npjG7lnb7EHUio9HGDv2JZwy86Y4Hc+I4XpYSGgbCCgixG0KyOgd2fD1c5sx1eHpqpbaT9jmJTGnLgRCCvjawcrk4VIAFpBvdtjue0X077L5WeoJyXS2HoCLgLddsxb4tPfi/PziG2bU0RqP+3oXVQkgRXWFsBGcXk/j52RUcPL1c9P7lpJZtAKlKWbfSBsRhS28Ag2EFT3d43CGplc5Wahe4OFSAffgfOrHY0L/T6W6lesQcWGFRQBYhCgTveOkkTi0kcGwujtEOthwCDRYH5v9fShS3TrwiEFYlNyC9GNfcOpxqIYTgsi4ISic1o2CWQ7vBxaECe0ajeNMVY/jMT07gyXONM4XjGcPXTeBqwQ5IG6C0NtdcWmdVp/Z1eu1lmxGURVCaLYDrREKyBM2wYDZorkhat63iYlPadGdYE7McwqqEhCPSy0ltQ8NnNvcF3cK6TiVRps6hXeDiUAUfef0+jERVfOK7zzfk9TOGCd2kHWw5yDAsWvPulz2fjQGNqJLbtoEVWHUirFdUo6yHrOVQKA4rSdvi63f6IoUVEYmMgbRuIqmZG2rDHvbELToR0/msl4o5tAtcHKqgJyDj6smBhg1dYX2VOlcc6lMlzdxK3hnRtzmtu3f4vKCoFoLOIlNsCls9YJZDMXFgYz1zLIeM4VoZ63UrAbbll9LNhllCrSZeoolmu8HFoUqiAcldxGvh2GwMb7zjQax6eg11yoepFKzRWK39lZhbyZtX/+Idg3joQ6/EgcnOqYrOJ+SIYVprTFIEsxwWijTEY4LhbeMSzxhu87wNWQ5Oimcj4yitJP+atStcHKokEpDcttq18POzy3ji7AoOT2cDcmxH3akxB2Y51NqZNaWZEAVS0E9qSxsUAtYCE8Ok3hjLIeNaDoVxgOVEvuUgIqmZbsyAzThfD6y5ZLIO3yc/4orDBq6Nn+DiUCVR1Q4K1lrZyXy43l45zHLI77zaKbidWWvMWEpqJoKy6M7X7hZccdAas9NOe2IOlFL87NiCm5G07Hxe3WwlxbYc8t1N6yHsuMkSDXo/rSClmXjt//9TPHpyMSsObVDLUA4uDlXC+qHU6lpi7iRvxWu8wy2HnjrFHFJ6508QK0bQdSs1KCDtWA66SXFkNoa3feFRvOdrh2CYlisCfSEnIO1sklg/q/VWSAPZGQeJDrIczi4l8dzMGh4/veRaW+3uVurM1agBePvKDNZQ9r6SYpZDtldOp8cc6uVGSOtmTjC6Wwg12nLw+P4fPbkEAPjZ8QV87LvPQ3Cqoln33829dlbY46eWIAlkQ+3R2eehk8SBVbDPxTIQna4KG3G5+QluOVRJveYSFLMc3BGhHWo51MuNkNSMrhQH9p5rCeDGM0ZOy3MvGSMb6H78tC0ON+8bxVcfPoMzi8kc1xFrHf/jo/Pod1pqrJdGi10rmIvZmYyza2ksJzWoktD2n1UuDlVSr3TMVceHO+VpwZzocMshpNbHjZDSre50KznvudTiXg3v+dpB/I/vPFP0Pq/lcPD0MnoCEn7zuu0wLYoHjs3nuEdGewLYu7kHpkU3lMYKZD/niQal5raCOY/lwCrH2z02xsWhSqJOU7x4jQscsxwW4pq7WMbTBgSCtt9plEIWBSiSUPNikNa6061UD8vh9EISL1wo3lgv7UmyuLCWxo7hCK7Y2o+wIkIzrIIq6FdcbFsPGwlGA3DbSiQ7qBBuzonBzK1lsJTItH2mEsDFoWqybqXaMm5WUpo795kNcIln7L5K7b7TKAerrK2FpG50peUQcovgNr6YLiU0zKwWnwmR0S30h7IdgXcMh6FIAl66cxAAMBDK7Rb8yotH7OMbXABZW4laN1p+grmV5mMZLCW0DQunn+DiUCXMrVSz5ZDUsXdLD4BsUDqWNtxsqE4lrEo17xRTWndmK7HNxEYth7RuIqWbWE7qRV1TacNCX0hxLRQ22e363Y6FkGc57J/ox6aewIYnmYUaXPHdCphbSTMtnFxIbNjl5ie4OFQJ85PWEnMwLYq1tIFLx+xRliwoHc/oHRtvYLD8+FpI61ZXupUEgSAoi0htcDFl6agAiloPGd2EKglubGHHkL3oX797CEBhvr4oENz7gRvw327cvaHzUSQBskg6qs5hPpaB4owUjqWNDTUk9BtcHKpEdT7QtYgDc0ltGwwjqkpuIVwsvf4Roe0Gq6ythW7NVgJqm+ng7Zk0vZLGB7/1JD7wzSfcY2nDgiqLburlDsdy2D4Uxl+8+TLcemCi4DV7QzIUaePLh21JdpDlsJbGRZ6xn51gOXT2drWOEEIQDciI1zDRjFVH9wVlbB0M4cR8HABwYj6Oa3cO1eU8/UpYrd1ysDtddqc4BOSNiyv73AHA9GoKDxybd+sWANvtFJDsWdCEANsGQwDsz3wxYagHYUXqGMshkTGQ0ExcMtaLZ87bbXEGNlAc6De45bAOImptzfdYplJfSMZl43146twKLqymMbuWwWXjvfU6TV8SVqSaAtKWRZHWrZxFrZsIKeKGU1m9lsMzU6tYiGuYXklBd6YbZhzLYddwBHs39zTlGocUsWNiDizesM+JJQLAQLj9Y4hcHNZBRJVqciux6ujeoIwrtvZhLW3gO0+cB4COF4eQWlsPf5Zu2Y0BacB+3xt1K604MQdZJPjhC3MAAIsC0yt2/CHjWA7//TUX49u/9dL6nHAFQqqEeIekss45rfwnHXcxwC0HEEJOE0KeIYQ8SQg56BwbIITcRwg55vzs9zz+w4SQ44SQI4SQmz3Hr3Je5zgh5NPEpzmd0Ro7s654+tRcudW+LP/4yBkIBNi7ubPFwXYjbPzasV1zt7qVgjW4lZYS9qZk90gU51eyAWmWEMEsB1kUmjagJqyIHRNzYJbDSI+KYWciYbv3VQLqYzm8glK6n1J6wPn9QwDup5TuBnC/8zsIIXsB3AZgH4BbANxBCGHf9M8AeDeA3c6/W+pwXnWn1pkOa67loGDHUBg9AQnnV1LYMxrt+B1xramsbNfcrW6loCLmVDKvh+WkhmhAwsSA3do8INtfeyYOLObQTEIdFHNwxSGqYtSZSMjFoTivB/AV5/ZXALzBc/yblNIMpfQUgOMAriGEbAbQQyl9mNpDhr/qeY6viNQYVGWBwd6gDEEguMKxHlhqaycTVkRopgXN2NjAmlSRKXDdhO2j37g49IcUbO61xeGlOwahiEKe5dBccYionRRzSEORBPQGZYz0qBCInXTS7tT6iaAAvk8IOUQIebdzbJRSOgMAzs8R5/gYgHOe5045x8ac2/nHCyCEvJsQcpAQcnB+fr7GU18/0YC87grpFy6suQHB1ZSOkCK6KYDMtdTp8QbA05l1gwsCsxy61a0UkGsLSPeHFWzps3e1+7b0Yrw/6KZS25ZDc69rSJU6Zo703FoGwxEVhBBcu3MQN+wZhiD40jO+LmoVh+sopVcCeA2A9xFCbijz2GJXi5Y5XniQ0s9SSg9QSg8MDw+v/2xrJBKwLQfbwKmOt37uUdzxo+MA7IB0r2dHcf2eIUgCwYt3DNb9XP0Gq+PYqCuBWw61BKR1DIRk13J40eYeTAyEcHYpCUqpLQ5Nvq71aKfiF84tJV2X3a9dvRVf/o1rWnxG9aEmcaCUTjs/5wB8B8A1AGYdVxGcn3POw6cAeJOmxwFMO8fHixz3HRFVgm7SnBbH5cgYJhYTmuuTXM0Thyu39uOZj9yMPaPRUi/RMdTawz/JYg5dajkEa7UcQgqu3TmI112+BS/bNYStAyGcXUzCsCgsmm3R0SxCioSUbsK0qt9o+ZWzS0lsHQi1+jTqzoY/EYSQMCEkym4DuAnAswDuBvAO52HvAHCXc/tuALcRQlRCyHbYgefHHNdTjBDyEidL6e2e5/iK9U40Y+4klsK6mswVB6B7UjPdmQ4bFIdutxyCzmJqbWAxXUnabqXBiIpP334FekMytg6EsJY2MOukYTbdclBr7zTrB9K6iblYpiPFoZa8tVEA33GyTiUA/0Qp/R4h5HEAdxJC3gXgLIBbAYBSepgQcieA5wAYAN5HKWWfjN8G8GUAQQD/6fzzHRFP873haOU85sW4E2tIZmMOk0Od9yGqhuxoyNoKuTohC2QjsOuXMdY30yJjmEhoZk7XVQCYcBazY3N2lX6zA9Le6cwQC68AABcjSURBVIDt3FeMzWWZ4OKQhVJ6EsDlRY4vArixxHM+BuBjRY4fBHDJRs+lWUTU9c2R9gaiATtrZH+wrzEn53PCNQ54mYtlQEhn9KzZCMxiSmrra1vOMuTyG8GN99s+8pPzCQBoekC6XtMBm8lz02v496enkdJNfODGPegNyW7GFxeHLie6zpkOXrcSpRRLCa0jhoBshFqzleZjaQyGVUhidxb1u9Pg1umGcS2uvM6qQ84cdFYl3WzLIWtJtkdQWjct/MaXH8NCXINpUewZjeL2a7bi7KItDp3oVurOb9oGYebvWpWWw6LzxVxL6VhN6TBqGK3Y7jAf80ZbJsytZTBShSuvU3Gnwa1jp/37dz6F3/vWkwCAvjxxYO6588uOODTbcqgxQaHZfPeZGcyuZfDZX78Kg2EFj5+yZ22fXUohKIsd+b3mlsM6GO2x88RLTdTKZylhZylZFDjt7DAGu9VyULI+5o0wF8tgpKd7xYHttKsthDMtinuennaLDjf3BnLuZ0VbUyv25zLQIsuh1jbuzeKLD57G9qEwXnHRCA5M9uPxM7Y4nFu2M5V82vGnJrg4rIOhiIJoQHL9tJXwdsM86bTn7oSGXBshKNvtoDe6U5yLpfGizZ2f8luK9c6Rnl5JQTMsfOSX9+KqbQOYHCqc2jYUUVpmOURqjEE1i7uePI+vPXwGT51bwUdftw+CQHD15ADuPTyLC6tpp8ah81xKAHcrrQtCCHYOR3BiPo5ExsAb73gQjznmZTFYthKQDfx1ovlZDYJAEJJFJDSz6kLCmdUUPnXfUeimhYW4VlWGWKfixhyq3GkfdzYj+8Z6cWmJCvzBiIplJ2DddMuhTdxKf/PD4zi3nMTvvHIXbrvGLtO6enIAAPDY6SWc9RTAdRpcHNbJjuEwTs4n8MTZFTxxdgVfevBUyccuJTS3VcapBUccutStBNgLwumFBK7+0x/gxr/6Cf7l0FTZx9/z1DQ+ff8xPHRiEaZFMRINlH18J7PegDTbjOwoYjEwhiNZsW12nQOr9/EOIvIji/EMbtq7Cb9/00WudbVvSw9Cioh/fPgMkprZkcFogIvDutk5HMGFtTR+etzu7XT/C3NYK5G9tJTQMOlM1TrhupW6VxwiqoQHjs0jpZtI6yY+cvfhso8/t2S7PH5yxL7W3RyQDsks26tacYijNyiX/bwNeTYqza6QDjs9xryuV7+hmxaWk3rBhk4SBVy1rR+PnV7CcFTFS3d2ZvsbLg7rZOewvRP7tyfOI6SI0AwL9z57oehjFxMadgzZ83hPLSQQUaWm+3b9REgRoZsUm3oCePOBCcQyRtn2CeecAqMHjjni0MUB6YGIAkUScOhMaTeml5PzCewYDpcNlA620HIghGAorLgZfX5k2Tm3oUjh5+6Tv3IZvv1bL8UjH74RF2/qKbi/E+DisE52OsPXZ9cyeO2lm7F1IIS7nypsBaWbFlZTOrY7YpIxrK62GoBs+uLLLxp2W5GUa4HOuoYed6p4u9mtFFElvPmqcfzLofNuy4tynFyIuxuTUngXvWZbDoAteIvxTNP/brUsxJk4FH5vt/QFcfXkAMQO6L5aCi4O62TrYAjs83Dl1n7c+KIRPH56qSDAuuy0zNjcG3AzTbo53gDYrgQA+IU9w262SilxoJRiajk3ZbibA9IA8J4bdsCwLHzxZ6XjXIBdpDm7lsGO4dLxBiB30WvFEKXBsOprt9KCI1yDRSyHboCLwzpRJdENQF2xtQ/j/SGkdcttkcHw9gJiwbduzVRihFUJkkBw3e4hRAP2NSlVbT4fyyBjWK4brycgde0UOMa2wTBec8lm3HnwXNnHseSHnRXEYbDFlsNgWHF3535k0alTKuZW6ga4OGyAncMRhBQRe0ajbnHRzGquqb8Uz4pDn9P0rNvdSm/YP4bfe/Ue9ARkTyuS4pYDize8eu8mAMBIT/e6lLzsn+jDclLHaoksn4dPLOLPv3cEALBjuLxbiWUrSQJpSVuSgbDia8uBpaJ3q8XPxWEDvPcVu/CJN10KUSBu1fSFfHFw3EqDYRU9QSYO3bkDYbxq7yje94pdALJ9qko1MWSZSq/eOwqguzOVvLCceiae+bz364dweHoVv3vjbuweqRBziNqLXqssssGIipRu+nZc6Hw8A0UUEG3jrrG1wMVhA1y1rR+v329PMmWWw4W8IKHXrcTmyRYLbHUrTBxKpQGzYPS+LT3YORwuWuHbjYz32y7NqSLiwFIv33ntdvzeq/dUbOkQUiQEZbElLiUg62Zd9KlraTGuYSiidGRrjGroTkmsI8NRe6B4vlvp2GwcYUXkbqUSZGMOpd1Kw1EVAVnEN9/90q4ZilSJCUccmGXlhRWUDYSrH24/FFVgVTfYsO4wd81iQvNlC4rFeKZrg9EAtxxqRhYFDEdVXMhrxvfkuRVcNt4HUSBuQJqLQ5ZohVTWc0spTDgzB4ajalsPhKknvSE7XlPMrcQy5PJnN5RjKKI2vV03g30fWIPKRrIQz+CZqdV1Pkfr2ngDwMWhLmzqCeRYDmndxPMza9i/1R7sw9olD3Z5zMFLUBYhCqRotlLGMHFyIe7L3aQfmOgPuW43L6VmN5Rjx1AEoy2qH2Hfh2a4lf72h8fxls8/UlVPL8ZiPNO1mUoAdyvVhU29ATd9EAAOT6/CsCj2T9jiMBJVQQgw2tu9H7R8CCGIqFKBW8myKP7g20+7RYacQiYGgjhRpDMwq+hdj+XwJ2/YB2MDc6nrgdet1GhOLyYQSxtYTupVWfCUUiwkutty4OJQBzb3BvHQiUU8e34V9x6+4LpMrnDE4XX7t2D3aLSrK3yLEQ1IBdlK//TYWdzz1DQ+9JqLcfO+TS06M38z0R/CT47Og1KaEyxlGXLrcV+GlNYtASHFDoY3I52VFVROr6Squj6xjAHNsDDUxdY+F4c6MNoTQCxt4I/vPoxDZ5YRUSWM9QXd3HxVEl0rgpMlokoFU/XufnIaF2+K4j037GjRWfmf8f4g0nphG3NmObAECL9DCMFQRHUrkRsFpdSdWzG1nMJ8LIM7D57DHW+9Mkdcp5aT+OrDZ/Dfb7nYdXWxdN9uhMcc6gBLZz10Zhm9QRnxjMHFoAp6AnJOzGEulsbjZ5ZwyyWbujZ9sBpYLCY/KL2U0NuuuWMzCuGWk7rb6vz8Sgr//vQM/vPZCwVdDb7x2Fl89oGTODobc3s+dXOckItDHdjkGcH4tXddgxv2DON1+7e08Izag2hAyslWuu+5WVAK3HIJdyeVwxWHvKD0clJD/zrSWP3AYERpeED6vKdH1/nlFI7PxQAA0yu56eePnmRzoZOYj7G+St1rOXC3Uh1glsNl4724bLwPX/3Na1p8Ru1BJCAhNpcVh+89ewHbh8K4aLR7x4FWw7iT4psvDksJbV2ZSn5gIKzg2Gy8oX+DFQxKAsHUchLHnC6/M6sp7N1it9tOaSaemloBAJxdTEIz7eKPbYPdW3zJLYc6sKk3gJGoil9/ybZWn0pbEQ1IrlvJMC08cnIRN148wl1KFQgpEjb1BApmmduWQ3uJw0g0gLlYuuxcj1o5v2JbDpeM9eLQmWV3YNK0J/3852eXoZv2OZxZSuDEXBybegJdXV/Tve+8jqiSiEf/6Ea+qK2TaEB250nPrKahmxS7KvQD4tjsHAnjxEKuOCwlNOyq0GzPb0wOhqCbFNMrqYbVtUwtpxBRJbxocw+ePLfiHp9ZybqbHj25CIEAk4NhnFlMYjWld/1nkVsOdYILw/qJBiToJkXGsNzdHesdxCnPjqEITs7Hc4q6lhPtZzmwnlmnFwvrNurF+ZUUxvqCrjsOsFvAewtXHzm1hEvGevGiLT04s5jEibk4F4dWnwCne2HdLtfSupuHPub5AnNKs2M4jFjacOchpHUTCc1suxYtk4NMHIp3ma0HU8spjPUHMdaXbcdy0aYopp0NSVo38eS5Fbx4+wC2DYRwdimJhGZiZ5eLA3crcVoGa74XTxtuRsmWPl4oWA1sVsPJ+TiGo6rbdK9dahwYI1EVAVnAmYX6Ww4HTy/h8dPLmFpO4sC2fnfjsXskgqGI6rqYnjy3As2w8OLtg+6AHwBt56KrN1wcOC3DO/BnajmJ0R61rXL0W8kOxx1zciGBZ6fX3Lbw7ZatJAgE2wbCDXErffy7z+PnZ20B8FoOe0ajUGUB33s2DcuiePTkEggBrt4+gOem19zn7xzp3kwlgIsDp4WwTJBY2nD9wpzqGOsLQpUE/MuhKRw8s+zOKW+3mAMAbBsM4WSdLYeFeAZPnFvBm68aR39Ixusu34LRngBed/kW/OJlm/Hc9Bo008JiQsOjpxbxok096A3K2DZox7x6ApI7Ka9b4eLAaRmuWyljxxx4VXn1CALB9qEwDp5ZhkDgVgC3W8wBALYPhfHjI/MwLQpRqE9ix49emAOlwDuvncQlY73u8U/ffgWAbKuRM4sJ/PzsMm6/ZisAu8OyIgnYNRLp+iQTHpDmtAzmVlpN6ZhZTfFg9DrZMWy7Pd778l24eJNdONjfZm4lwC4000yrYJrieji9kMCv/sPDePa8PbPh/ufnsKkngH1OkVs+Wxwr9XvPXkBat+MNgC261+8awg17hjd8Lp0CFwdOy2Di8PxMDLpJc1INOZW5ZKwXEVXCb1w3iY+/6VLcfs2EO3qznZh0XDksKP2lB0/hhQu27/+Js8uYrUI0Pvbd5/HYqSX8wbefwkI8g58em8eNLypdUMm6GnzxwVNQJQEv3j7g3veFd16ND7xqT03vqRPgbiVOy+gNytgzGsE3Hz8LgNc4rJf/ev0O/NqBCQxGVAxGVFy5tb/Vp7QhtnmC69uGwvjoPc/htZduwl/eejne8rlHMTEQxF3ve1nJUbEPnVjAfc/N4vrdQ/jpsQW87JM/hGFSvOnKsZJ/cyCsYHIwhP6wgv/5i3vbMlbTaLjlwGkZhBD8/k0XIa3bfWx4QHp9yKLQETOON/fY7Wd+emwePz4yBwD4yZF53PfcLFK6iaOzcXz0nsMln/9/f3AMW3oD+NzbD+DNV41j+1AE//rea3HVtoGSzyGE4Md/+Ap8573X4apt7SmqjYZbDpyWctPeUVw+0Yenzq1wcehSBIHgtZduxj89dhaxtAGBAAnNxJ9/7wj6QzJuPTCBzz5wEm+6chyiAPyfe57Dn7zhElw23oep5SQeO7WEP7z5IgRkEX956+WtfjsdA7ccOC2FEIK/uvUyfPyNl5Z0G3A6n1+6bDM0w8JDJxbxxivGEZRFnF9J4dV7R/F7r9qDoYiKv/r+EfzRvz6Lp6ZW8bbPP4pnplZx91PTAIDXXc5b5Ncb34gDIeQWQsgRQshxQsiHWn0+nOaxaySKt7x4a6tPg9NCrtza7waJb943iut3DwGwZ3sEFRG/9Qs78OipJRyZjeF//dJe9ARlvPXzj+Drj5zFlVv7Gta0r5vxhTgQQkQAfwfgNQD2AridELK3tWfF4XCahSAQvG7/FoQUEdfuGsJbX7IN12wfwLU7bZF420u2YawviOt3D+E3r5vEN/7rSxANyDi/ksLr95cOPHM2DvF2dWzZSRDyUgAfoZTe7Pz+YQCglH6i1HMOHDhADx482KQz5HA4jSatm5iPZUpaAWtpHUFZhCzae9pzS0l8/dGzeP8rd3X13IX1Qgg5RCk9UOlxfrmiYwDOeX6fAvDiFp0Lh8NpAQFZLOse6gnkNhWcGAjhQ6+5uNGn1bX4wq0EoFilSoFJQwh5NyHkICHk4Pz8fBNOi8PhcLoTv4jDFIAJz+/jAKbzH0Qp/Syl9ACl9MDwMC9v53A4nEbhF3F4HMBuQsh2QogC4DYAd7f4nDgcDqdr8UXMgVJqEELeD+BeACKAL1JKS5dEcjgcDqeh+EIcAIBS+l0A3231eXA4HA7HP24lDofD4fgILg4cDofDKYCLA4fD4XAK8EWF9EYghMQAHAHQC2C1Ti9bz9dqxOsxhgAs1OF12uH91vs163XtGH6/hvz6+eO1gNZfO/b3t1FKK9cCUErb8h+Ag87Pz9bxNev2Wo14vfz37rfza8T7bcA51uXatcs15NfPH6/lh2u33r/fCW6le3z6Wo14vXrTDu+XX0N/vV698fP77bZrl0M7u5UO0iqaR3Ui3fzea4Vfu//X3v2FSFWGcRz//mil8F/mv1AypJvKJDSDtIyg8MJuCgxKot3sJiuo7tII6sYLl5JQL0zS0IqwsMiKDJOSrCwwRd0W/BOSiiSRqasURU8X5x0admbdZnZmz9nx94HDOfvOmXff92H2POecPfO+A+P41S/v2NX6+4fylcPavBuQo0u57wPl2A2M41e/vGNX0+8fslcOZmbWPEP5ysHMzJrEyaEAJE2R9IWkbkldkp5J5WMlbZN0KK2vSuXj0v49klb3qmuhpP2S9knaKml8Hn0aLA2O3YMpbl2SOvPoz2CrI37zJO1On7Hdku4uq2tWKj8saaWkakPxt4wGx26ZpGOSevLqT4VGPlrlpe5H0iYBt6TtUcBBsulSO4ElqXwJsDxtjwDmAouB1WX1tAGngPHp506yGfZy7+MQiN044GdgQvp5A3BP3v0rYPxmApPT9nTgRFld3wNzyOZn+RSYn3f/hlDsZqf6evLuV2nxlUMBRMTJiPghbZ8Duslmx7uP7CBFWt+f9jkfETuBP3pVpbSMSGdto6kyL0YraWDsrgMORkRpFqnPgQVNbn7u6ojfnogofaa6gCskXS5pEjA6Ir6N7Gi3sfSeVtWo2KXXdkXEycFsf3+cHApG0lSyM4zvgKtLH5i0nnix90bEX8ATwH6ypDANWNfE5hbKQGIHHAZukDRVUhvZH/SUft7TUuqI3wJgT0T8SXZQPF722vFUdkkYYOwKycmhQCSNBDYDz0bE2TreP4wsOcwEJgP7gKUNbWRBDTR2EXGaLHabgK+Ao8DfjWxjkdUaP0k3AcuBx0tFVXa7JB6FbEDsCsnJoSDSgX0z8HZEvJ+Kf0mX66T1qX6qmQEQEUfSpf27wO1NanJhNCh2RMRHEXFbRMwhG7frULPaXCS1xk/SNcAHQHtEHEnFx8mm9y2pOtVvq2lQ7ArJyaEA0v8H1gHdEbGi7KUtQEfa7gA+7KeqE8A0SaVBteaR3QdtWQ2MHZImpvVVwJPA641tbfHUGj9JY4BPgKUR8XVp53T75Jyk2anOdv5HzIeyRsWusPL+j7iXgOzpmSC7DbQ3LfeSPUGznewMdjswtuw9R4HfgB6ys7ZpqXwxWULYRzb2yri8+zeEYvcO8GNaHsq7b0WMH/ACcL5s373AxPTarcAB4AiwmvQl21ZdGhy7zvRZ/CetX8q7f/6GtJmZVfBtJTMzq+DkYGZmFZwczMysgpODmZlVcHIwM7MKTg5mTSBpsaT2GvafKulAM9tkVou2vBtg1moktUXEmrzbYTYQTg5mVaSB1LaSDaQ2k2w45nbgRmAFMBL4FXg0Ik5K+hL4BrgD2CJpFNnwyy9LmgGsAYaTfUHssYg4LWkWsB64AOwcvN6Z9c+3lcz6dj2wNiJuBs4CTwGrgAcionRgX1a2/5iIuCsiXulVz0bguVTPfuDFVP4G8HRkYzmZFYqvHMz6diz+GwPnLeB5sklatqVJzi4Dysfg39S7AklXkiWNHaloA/BelfI3gfmN74JZfZwczPrWe2yZc0DXRc70z9dQt6rUb1YYvq1k1rdrJZUSwUJgFzChVCZpWBqbv08RcQY4LenOVPQIsCMifgfOSJqbyh9ufPPN6ucrB7O+dQMdkl4jG2FzFfAZsDLdFmoDXiWb8vFiOoA1koYDPwGLUvkiYL2kC6les8LwqKxmVaSnlT6OiOk5N8UsF76tZGZmFXzlYGZmFXzlYGZmFZwczMysgpODmZlVcHIwM7MKTg5mZlbBycHMzCr8CxIkPQ5aJL5WAAAAAElFTkSuQmCC\n", "text/plain": [ - "" + "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], @@ -2308,22 +2269,17 @@ "premier jour de la semaine qui contient le 1er août.\n", "\n", "Comme l'incidence de syndrome grippal est très faible en été, cette\n", - "modification ne risque pas de fausser nos conclusions.\n", - "\n", - "Encore un petit détail: les données commencent an octobre 1984, ce qui\n", - "rend la première année incomplète. Nous commençons donc l'analyse en 1985." + "modification ne risque pas de fausser nos conclusions." ] }, { "cell_type": "code", - "execution_count": 11, - "metadata": { - "collapsed": true - }, + "execution_count": 18, + "metadata": {}, "outputs": [], "source": [ - "first_august_week = [pd.Period(pd.Timestamp(y, 8, 1), 'W')\n", - " for y in range(1985,\n", + "first_sept_week = [pd.Period(pd.Timestamp(y, 9, 1), 'W')\n", + " for y in range(1991,\n", " sorted_data.index[-1].year)]" ] }, @@ -2338,16 +2294,14 @@ }, { "cell_type": "code", - "execution_count": 12, - "metadata": { - "collapsed": false - }, + "execution_count": 20, + "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_sept_week[:-1],\n", + " first_sept_week[1:]):\n", " one_year = sorted_data['inc'][week1:week2-1]\n", " assert abs(len(one_year)-52) < 2\n", " yearly_incidence.append(one_year.sum())\n", @@ -2364,29 +2318,29 @@ }, { "cell_type": "code", - "execution_count": 13, - "metadata": { - "collapsed": false - }, + "execution_count": 21, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 13, + "execution_count": 21, "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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542312\n", + "2017 551041\n", + "1996 564901\n", + "2019 584066\n", + "2015 604382\n", + "2000 617597\n", + "2001 619041\n", + "2012 624573\n", + "2005 628464\n", + "2006 632833\n", + "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": 22, "metadata": {}, "output_type": "execute_result" } @@ -2465,29 +2414,29 @@ }, { "cell_type": "code", - "execution_count": 15, - "metadata": { - "collapsed": false - }, + "execution_count": 23, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 15, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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