{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Module 3 Exercice 2 \n", "Analyser les données pour le cas l'incidence de la varicelle.\n", "\n", "Cet exercice demande de renseigner les années avec l'épidémie la plus forte et la plus faible.\n", "\n", "Pour être sûr de trouver les mêmes réponses que nous, vous devez choisir le 1er septembre comme début de chaque période annuelle." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ " %matplotlib inline\n", "import matplotlib.pyplot as plt\n", "import pandas as pd\n", "import isoweek" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Données sur le site" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
0202014300.00.000.00.0FRFrance
1202013300.00.000.00.0FRFrance
2202012383215873.010769.0139.017.0FRFrance
3202011310170493652.0109756.0154142.0166.0FRFrance
4202010310497796650.0113304.0159146.0172.0FRFrance
52020093110696102066.0119326.0168155.0181.0FRFrance
62020083143753133984.0153522.0218203.0233.0FRFrance
72020073183610172812.0194408.0279263.0295.0FRFrance
82020063206669195481.0217857.0314297.0331.0FRFrance
92020053187957177445.0198469.0285269.0301.0FRFrance
102020043122331113492.0131170.0186173.0199.0FRFrance
1120200337841371330.085496.0119108.0130.0FRFrance
1220200235361447654.059574.08172.090.0FRFrance
1320200133685031608.042092.05648.064.0FRFrance
1420195232813523220.033050.04336.050.0FRFrance
1520195132978625042.034530.04538.052.0FRFrance
1620195033422329156.039290.05244.060.0FRFrance
1720194932566221414.029910.03933.045.0FRFrance
1820194832236718055.026679.03427.041.0FRFrance
1920194731866914759.022579.02822.034.0FRFrance
2020194631603012567.019493.02419.029.0FRFrance
212019453101387160.013116.01510.020.0FRFrance
22201944378225010.010634.0128.016.0FRFrance
23201943394876448.012526.0149.019.0FRFrance
24201942377475243.010251.0128.016.0FRFrance
25201941371224720.09524.0117.015.0FRFrance
26201940385055784.011226.0139.017.0FRFrance
27201939370914462.09720.0117.015.0FRFrance
28201938348972891.06903.074.010.0FRFrance
29201937331721367.04977.052.08.0FRFrance
.................................
181919852132609619621.032571.04735.059.0FRFrance
182019852032789620885.034907.05138.064.0FRFrance
182119851934315432821.053487.07859.097.0FRFrance
182219851834055529935.051175.07455.093.0FRFrance
182319851733405324366.043740.06244.080.0FRFrance
182419851635036236451.064273.09166.0116.0FRFrance
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18261985143134545114400.0154690.0244207.0281.0FRFrance
18271985133197206176080.0218332.0357319.0395.0FRFrance
18281985123245240223304.0267176.0445405.0485.0FRFrance
18291985113276205252399.0300011.0501458.0544.0FRFrance
18301985103353231326279.0380183.0640591.0689.0FRFrance
18311985093369895341109.0398681.0670618.0722.0FRFrance
18321985083389886359529.0420243.0707652.0762.0FRFrance
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18351985053637302592795.0681809.011551074.01236.0FRFrance
18361985043424937390794.0459080.0770708.0832.0FRFrance
18371985033213901174689.0253113.0388317.0459.0FRFrance
183819850239758680949.0114223.0177147.0207.0FRFrance
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184019845238483060602.0109058.0154110.0198.0FRFrance
1841198451310172680242.0123210.0185146.0224.0FRFrance
18421984503123680101401.0145959.0225184.0266.0FRFrance
1843198449310107381684.0120462.0184149.0219.0FRFrance
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1849 rows × 10 columns

\n", "
" ], "text/plain": [ " week indicator inc inc_low inc_up inc100 inc100_low \\\n", "0 202014 3 0 0.0 0.0 0 0.0 \n", "1 202013 3 0 0.0 0.0 0 0.0 \n", "2 202012 3 8321 5873.0 10769.0 13 9.0 \n", "3 202011 3 101704 93652.0 109756.0 154 142.0 \n", "4 202010 3 104977 96650.0 113304.0 159 146.0 \n", "5 202009 3 110696 102066.0 119326.0 168 155.0 \n", "6 202008 3 143753 133984.0 153522.0 218 203.0 \n", "7 202007 3 183610 172812.0 194408.0 279 263.0 \n", "8 202006 3 206669 195481.0 217857.0 314 297.0 \n", "9 202005 3 187957 177445.0 198469.0 285 269.0 \n", "10 202004 3 122331 113492.0 131170.0 186 173.0 \n", "11 202003 3 78413 71330.0 85496.0 119 108.0 \n", "12 202002 3 53614 47654.0 59574.0 81 72.0 \n", "13 202001 3 36850 31608.0 42092.0 56 48.0 \n", "14 201952 3 28135 23220.0 33050.0 43 36.0 \n", "15 201951 3 29786 25042.0 34530.0 45 38.0 \n", "16 201950 3 34223 29156.0 39290.0 52 44.0 \n", "17 201949 3 25662 21414.0 29910.0 39 33.0 \n", "18 201948 3 22367 18055.0 26679.0 34 27.0 \n", "19 201947 3 18669 14759.0 22579.0 28 22.0 \n", "20 201946 3 16030 12567.0 19493.0 24 19.0 \n", "21 201945 3 10138 7160.0 13116.0 15 10.0 \n", "22 201944 3 7822 5010.0 10634.0 12 8.0 \n", "23 201943 3 9487 6448.0 12526.0 14 9.0 \n", "24 201942 3 7747 5243.0 10251.0 12 8.0 \n", "25 201941 3 7122 4720.0 9524.0 11 7.0 \n", "26 201940 3 8505 5784.0 11226.0 13 9.0 \n", "27 201939 3 7091 4462.0 9720.0 11 7.0 \n", "28 201938 3 4897 2891.0 6903.0 7 4.0 \n", "29 201937 3 3172 1367.0 4977.0 5 2.0 \n", "... ... ... ... ... ... ... ... \n", "1819 198521 3 26096 19621.0 32571.0 47 35.0 \n", "1820 198520 3 27896 20885.0 34907.0 51 38.0 \n", "1821 198519 3 43154 32821.0 53487.0 78 59.0 \n", "1822 198518 3 40555 29935.0 51175.0 74 55.0 \n", "1823 198517 3 34053 24366.0 43740.0 62 44.0 \n", "1824 198516 3 50362 36451.0 64273.0 91 66.0 \n", "1825 198515 3 63881 45538.0 82224.0 116 83.0 \n", "1826 198514 3 134545 114400.0 154690.0 244 207.0 \n", "1827 198513 3 197206 176080.0 218332.0 357 319.0 \n", "1828 198512 3 245240 223304.0 267176.0 445 405.0 \n", "1829 198511 3 276205 252399.0 300011.0 501 458.0 \n", "1830 198510 3 353231 326279.0 380183.0 640 591.0 \n", "1831 198509 3 369895 341109.0 398681.0 670 618.0 \n", "1832 198508 3 389886 359529.0 420243.0 707 652.0 \n", "1833 198507 3 471852 432599.0 511105.0 855 784.0 \n", "1834 198506 3 565825 518011.0 613639.0 1026 939.0 \n", "1835 198505 3 637302 592795.0 681809.0 1155 1074.0 \n", "1836 198504 3 424937 390794.0 459080.0 770 708.0 \n", "1837 198503 3 213901 174689.0 253113.0 388 317.0 \n", "1838 198502 3 97586 80949.0 114223.0 177 147.0 \n", "1839 198501 3 85489 65918.0 105060.0 155 120.0 \n", "1840 198452 3 84830 60602.0 109058.0 154 110.0 \n", "1841 198451 3 101726 80242.0 123210.0 185 146.0 \n", "1842 198450 3 123680 101401.0 145959.0 225 184.0 \n", "1843 198449 3 101073 81684.0 120462.0 184 149.0 \n", "1844 198448 3 78620 60634.0 96606.0 143 110.0 \n", "1845 198447 3 72029 54274.0 89784.0 131 99.0 \n", "1846 198446 3 87330 67686.0 106974.0 159 123.0 \n", "1847 198445 3 135223 101414.0 169032.0 246 184.0 \n", "1848 198444 3 68422 20056.0 116788.0 125 37.0 \n", "\n", " inc100_up geo_insee geo_name \n", "0 0.0 FR France \n", "1 0.0 FR France \n", "2 17.0 FR France \n", "3 166.0 FR France \n", "4 172.0 FR France \n", "5 181.0 FR France \n", "6 233.0 FR France \n", "7 295.0 FR France \n", "8 331.0 FR France \n", "9 301.0 FR France \n", "10 199.0 FR France \n", "11 130.0 FR France \n", "12 90.0 FR France \n", "13 64.0 FR France \n", "14 50.0 FR France \n", "15 52.0 FR France \n", "16 60.0 FR France \n", "17 45.0 FR France \n", "18 41.0 FR France \n", "19 34.0 FR France \n", "20 29.0 FR France \n", "21 20.0 FR France \n", "22 16.0 FR France \n", "23 19.0 FR France \n", "24 16.0 FR France \n", "25 15.0 FR France \n", "26 17.0 FR France \n", "27 15.0 FR France \n", "28 10.0 FR France \n", "29 8.0 FR France \n", "... ... ... ... \n", "1819 59.0 FR France \n", "1820 64.0 FR France \n", "1821 97.0 FR France \n", "1822 93.0 FR France \n", "1823 80.0 FR France \n", "1824 116.0 FR France \n", "1825 149.0 FR France \n", "1826 281.0 FR France \n", "1827 395.0 FR France \n", "1828 485.0 FR France \n", "1829 544.0 FR France \n", "1830 689.0 FR France \n", "1831 722.0 FR France \n", "1832 762.0 FR France \n", "1833 926.0 FR France \n", "1834 1113.0 FR France \n", "1835 1236.0 FR France \n", "1836 832.0 FR France \n", "1837 459.0 FR France \n", "1838 207.0 FR France \n", "1839 190.0 FR France \n", "1840 198.0 FR France \n", "1841 224.0 FR France \n", "1842 266.0 FR France \n", "1843 219.0 FR France \n", "1844 176.0 FR France \n", "1845 163.0 FR France \n", "1846 195.0 FR France \n", "1847 308.0 FR France \n", "1848 213.0 FR France \n", "\n", "[1849 rows x 10 columns]" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "data_url = \"http://www.sentiweb.fr/datasets/incidence-PAY-3.csv\"\n", "raw_data = pd.read_csv(data_url, skiprows=1)\n", "raw_data" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
period
1984-10-29/1984-11-0419844436842220056.0116788.012537.0213.0FRFrance
1984-11-05/1984-11-111984453135223101414.0169032.0246184.0308.0FRFrance
1984-11-12/1984-11-1819844638733067686.0106974.0159123.0195.0FRFrance
1984-11-19/1984-11-2519844737202954274.089784.013199.0163.0FRFrance
1984-11-26/1984-12-0219844837862060634.096606.0143110.0176.0FRFrance
1984-12-03/1984-12-09198449310107381684.0120462.0184149.0219.0FRFrance
1984-12-10/1984-12-161984503123680101401.0145959.0225184.0266.0FRFrance
1984-12-17/1984-12-23198451310172680242.0123210.0185146.0224.0FRFrance
1984-12-24/1984-12-3019845238483060602.0109058.0154110.0198.0FRFrance
1984-12-31/1985-01-0619850138548965918.0105060.0155120.0190.0FRFrance
1985-01-07/1985-01-1319850239758680949.0114223.0177147.0207.0FRFrance
1985-01-14/1985-01-201985033213901174689.0253113.0388317.0459.0FRFrance
1985-01-21/1985-01-271985043424937390794.0459080.0770708.0832.0FRFrance
1985-01-28/1985-02-031985053637302592795.0681809.011551074.01236.0FRFrance
1985-02-04/1985-02-101985063565825518011.0613639.01026939.01113.0FRFrance
1985-02-11/1985-02-171985073471852432599.0511105.0855784.0926.0FRFrance
1985-02-18/1985-02-241985083389886359529.0420243.0707652.0762.0FRFrance
1985-02-25/1985-03-031985093369895341109.0398681.0670618.0722.0FRFrance
1985-03-04/1985-03-101985103353231326279.0380183.0640591.0689.0FRFrance
1985-03-11/1985-03-171985113276205252399.0300011.0501458.0544.0FRFrance
1985-03-18/1985-03-241985123245240223304.0267176.0445405.0485.0FRFrance
1985-03-25/1985-03-311985133197206176080.0218332.0357319.0395.0FRFrance
1985-04-01/1985-04-071985143134545114400.0154690.0244207.0281.0FRFrance
1985-04-08/1985-04-1419851536388145538.082224.011683.0149.0FRFrance
1985-04-15/1985-04-2119851635036236451.064273.09166.0116.0FRFrance
1985-04-22/1985-04-2819851733405324366.043740.06244.080.0FRFrance
1985-04-29/1985-05-0519851834055529935.051175.07455.093.0FRFrance
1985-05-06/1985-05-1219851934315432821.053487.07859.097.0FRFrance
1985-05-13/1985-05-1919852032789620885.034907.05138.064.0FRFrance
1985-05-20/1985-05-2619852132609619621.032571.04735.059.0FRFrance
.................................
2019-09-09/2019-09-15201937331721367.04977.052.08.0FRFrance
2019-09-16/2019-09-22201938348972891.06903.074.010.0FRFrance
2019-09-23/2019-09-29201939370914462.09720.0117.015.0FRFrance
2019-09-30/2019-10-06201940385055784.011226.0139.017.0FRFrance
2019-10-07/2019-10-13201941371224720.09524.0117.015.0FRFrance
2019-10-14/2019-10-20201942377475243.010251.0128.016.0FRFrance
2019-10-21/2019-10-27201943394876448.012526.0149.019.0FRFrance
2019-10-28/2019-11-03201944378225010.010634.0128.016.0FRFrance
2019-11-04/2019-11-102019453101387160.013116.01510.020.0FRFrance
2019-11-11/2019-11-1720194631603012567.019493.02419.029.0FRFrance
2019-11-18/2019-11-2420194731866914759.022579.02822.034.0FRFrance
2019-11-25/2019-12-0120194832236718055.026679.03427.041.0FRFrance
2019-12-02/2019-12-0820194932566221414.029910.03933.045.0FRFrance
2019-12-09/2019-12-1520195033422329156.039290.05244.060.0FRFrance
2019-12-16/2019-12-2220195132978625042.034530.04538.052.0FRFrance
2019-12-23/2019-12-2920195232813523220.033050.04336.050.0FRFrance
2019-12-30/2020-01-0520200133685031608.042092.05648.064.0FRFrance
2020-01-06/2020-01-1220200235361447654.059574.08172.090.0FRFrance
2020-01-13/2020-01-1920200337841371330.085496.0119108.0130.0FRFrance
2020-01-20/2020-01-262020043122331113492.0131170.0186173.0199.0FRFrance
2020-01-27/2020-02-022020053187957177445.0198469.0285269.0301.0FRFrance
2020-02-03/2020-02-092020063206669195481.0217857.0314297.0331.0FRFrance
2020-02-10/2020-02-162020073183610172812.0194408.0279263.0295.0FRFrance
2020-02-17/2020-02-232020083143753133984.0153522.0218203.0233.0FRFrance
2020-02-24/2020-03-012020093110696102066.0119326.0168155.0181.0FRFrance
2020-03-02/2020-03-08202010310497796650.0113304.0159146.0172.0FRFrance
2020-03-09/2020-03-15202011310170493652.0109756.0154142.0166.0FRFrance
2020-03-16/2020-03-22202012383215873.010769.0139.017.0FRFrance
2020-03-23/2020-03-29202013300.00.000.00.0FRFrance
2020-03-30/2020-04-05202014300.00.000.00.0FRFrance
\n", "

1848 rows × 10 columns

\n", "
" ], "text/plain": [ " week indicator inc inc_low inc_up inc100 \\\n", "period \n", "1984-10-29/1984-11-04 198444 3 68422 20056.0 116788.0 125 \n", "1984-11-05/1984-11-11 198445 3 135223 101414.0 169032.0 246 \n", "1984-11-12/1984-11-18 198446 3 87330 67686.0 106974.0 159 \n", "1984-11-19/1984-11-25 198447 3 72029 54274.0 89784.0 131 \n", "1984-11-26/1984-12-02 198448 3 78620 60634.0 96606.0 143 \n", "1984-12-03/1984-12-09 198449 3 101073 81684.0 120462.0 184 \n", "1984-12-10/1984-12-16 198450 3 123680 101401.0 145959.0 225 \n", "1984-12-17/1984-12-23 198451 3 101726 80242.0 123210.0 185 \n", "1984-12-24/1984-12-30 198452 3 84830 60602.0 109058.0 154 \n", "1984-12-31/1985-01-06 198501 3 85489 65918.0 105060.0 155 \n", "1985-01-07/1985-01-13 198502 3 97586 80949.0 114223.0 177 \n", "1985-01-14/1985-01-20 198503 3 213901 174689.0 253113.0 388 \n", "1985-01-21/1985-01-27 198504 3 424937 390794.0 459080.0 770 \n", "1985-01-28/1985-02-03 198505 3 637302 592795.0 681809.0 1155 \n", "1985-02-04/1985-02-10 198506 3 565825 518011.0 613639.0 1026 \n", "1985-02-11/1985-02-17 198507 3 471852 432599.0 511105.0 855 \n", "1985-02-18/1985-02-24 198508 3 389886 359529.0 420243.0 707 \n", "1985-02-25/1985-03-03 198509 3 369895 341109.0 398681.0 670 \n", "1985-03-04/1985-03-10 198510 3 353231 326279.0 380183.0 640 \n", "1985-03-11/1985-03-17 198511 3 276205 252399.0 300011.0 501 \n", "1985-03-18/1985-03-24 198512 3 245240 223304.0 267176.0 445 \n", "1985-03-25/1985-03-31 198513 3 197206 176080.0 218332.0 357 \n", "1985-04-01/1985-04-07 198514 3 134545 114400.0 154690.0 244 \n", "1985-04-08/1985-04-14 198515 3 63881 45538.0 82224.0 116 \n", "1985-04-15/1985-04-21 198516 3 50362 36451.0 64273.0 91 \n", "1985-04-22/1985-04-28 198517 3 34053 24366.0 43740.0 62 \n", "1985-04-29/1985-05-05 198518 3 40555 29935.0 51175.0 74 \n", "1985-05-06/1985-05-12 198519 3 43154 32821.0 53487.0 78 \n", "1985-05-13/1985-05-19 198520 3 27896 20885.0 34907.0 51 \n", "1985-05-20/1985-05-26 198521 3 26096 19621.0 32571.0 47 \n", "... ... ... ... ... ... ... \n", "2019-09-09/2019-09-15 201937 3 3172 1367.0 4977.0 5 \n", "2019-09-16/2019-09-22 201938 3 4897 2891.0 6903.0 7 \n", "2019-09-23/2019-09-29 201939 3 7091 4462.0 9720.0 11 \n", "2019-09-30/2019-10-06 201940 3 8505 5784.0 11226.0 13 \n", "2019-10-07/2019-10-13 201941 3 7122 4720.0 9524.0 11 \n", "2019-10-14/2019-10-20 201942 3 7747 5243.0 10251.0 12 \n", "2019-10-21/2019-10-27 201943 3 9487 6448.0 12526.0 14 \n", "2019-10-28/2019-11-03 201944 3 7822 5010.0 10634.0 12 \n", "2019-11-04/2019-11-10 201945 3 10138 7160.0 13116.0 15 \n", "2019-11-11/2019-11-17 201946 3 16030 12567.0 19493.0 24 \n", "2019-11-18/2019-11-24 201947 3 18669 14759.0 22579.0 28 \n", "2019-11-25/2019-12-01 201948 3 22367 18055.0 26679.0 34 \n", "2019-12-02/2019-12-08 201949 3 25662 21414.0 29910.0 39 \n", "2019-12-09/2019-12-15 201950 3 34223 29156.0 39290.0 52 \n", "2019-12-16/2019-12-22 201951 3 29786 25042.0 34530.0 45 \n", "2019-12-23/2019-12-29 201952 3 28135 23220.0 33050.0 43 \n", "2019-12-30/2020-01-05 202001 3 36850 31608.0 42092.0 56 \n", "2020-01-06/2020-01-12 202002 3 53614 47654.0 59574.0 81 \n", "2020-01-13/2020-01-19 202003 3 78413 71330.0 85496.0 119 \n", "2020-01-20/2020-01-26 202004 3 122331 113492.0 131170.0 186 \n", "2020-01-27/2020-02-02 202005 3 187957 177445.0 198469.0 285 \n", "2020-02-03/2020-02-09 202006 3 206669 195481.0 217857.0 314 \n", "2020-02-10/2020-02-16 202007 3 183610 172812.0 194408.0 279 \n", "2020-02-17/2020-02-23 202008 3 143753 133984.0 153522.0 218 \n", "2020-02-24/2020-03-01 202009 3 110696 102066.0 119326.0 168 \n", "2020-03-02/2020-03-08 202010 3 104977 96650.0 113304.0 159 \n", "2020-03-09/2020-03-15 202011 3 101704 93652.0 109756.0 154 \n", "2020-03-16/2020-03-22 202012 3 8321 5873.0 10769.0 13 \n", "2020-03-23/2020-03-29 202013 3 0 0.0 0.0 0 \n", "2020-03-30/2020-04-05 202014 3 0 0.0 0.0 0 \n", "\n", " inc100_low inc100_up geo_insee geo_name \n", "period \n", "1984-10-29/1984-11-04 37.0 213.0 FR France \n", "1984-11-05/1984-11-11 184.0 308.0 FR France \n", "1984-11-12/1984-11-18 123.0 195.0 FR France \n", "1984-11-19/1984-11-25 99.0 163.0 FR France \n", "1984-11-26/1984-12-02 110.0 176.0 FR France \n", "1984-12-03/1984-12-09 149.0 219.0 FR France \n", "1984-12-10/1984-12-16 184.0 266.0 FR France \n", "1984-12-17/1984-12-23 146.0 224.0 FR France \n", "1984-12-24/1984-12-30 110.0 198.0 FR France \n", "1984-12-31/1985-01-06 120.0 190.0 FR France \n", "1985-01-07/1985-01-13 147.0 207.0 FR France \n", "1985-01-14/1985-01-20 317.0 459.0 FR France \n", "1985-01-21/1985-01-27 708.0 832.0 FR France \n", "1985-01-28/1985-02-03 1074.0 1236.0 FR France \n", "1985-02-04/1985-02-10 939.0 1113.0 FR France \n", "1985-02-11/1985-02-17 784.0 926.0 FR France \n", "1985-02-18/1985-02-24 652.0 762.0 FR France \n", "1985-02-25/1985-03-03 618.0 722.0 FR France \n", "1985-03-04/1985-03-10 591.0 689.0 FR France \n", "1985-03-11/1985-03-17 458.0 544.0 FR France \n", "1985-03-18/1985-03-24 405.0 485.0 FR France \n", "1985-03-25/1985-03-31 319.0 395.0 FR France \n", "1985-04-01/1985-04-07 207.0 281.0 FR France \n", "1985-04-08/1985-04-14 83.0 149.0 FR France \n", "1985-04-15/1985-04-21 66.0 116.0 FR France \n", "1985-04-22/1985-04-28 44.0 80.0 FR France \n", "1985-04-29/1985-05-05 55.0 93.0 FR France \n", "1985-05-06/1985-05-12 59.0 97.0 FR France \n", "1985-05-13/1985-05-19 38.0 64.0 FR France \n", "1985-05-20/1985-05-26 35.0 59.0 FR France \n", "... ... ... ... ... \n", "2019-09-09/2019-09-15 2.0 8.0 FR France \n", "2019-09-16/2019-09-22 4.0 10.0 FR France \n", "2019-09-23/2019-09-29 7.0 15.0 FR France \n", "2019-09-30/2019-10-06 9.0 17.0 FR France \n", "2019-10-07/2019-10-13 7.0 15.0 FR France \n", "2019-10-14/2019-10-20 8.0 16.0 FR France \n", "2019-10-21/2019-10-27 9.0 19.0 FR France \n", "2019-10-28/2019-11-03 8.0 16.0 FR France \n", "2019-11-04/2019-11-10 10.0 20.0 FR France \n", "2019-11-11/2019-11-17 19.0 29.0 FR France \n", "2019-11-18/2019-11-24 22.0 34.0 FR France \n", "2019-11-25/2019-12-01 27.0 41.0 FR France \n", "2019-12-02/2019-12-08 33.0 45.0 FR France \n", "2019-12-09/2019-12-15 44.0 60.0 FR France \n", "2019-12-16/2019-12-22 38.0 52.0 FR France \n", "2019-12-23/2019-12-29 36.0 50.0 FR France \n", "2019-12-30/2020-01-05 48.0 64.0 FR France \n", "2020-01-06/2020-01-12 72.0 90.0 FR France \n", "2020-01-13/2020-01-19 108.0 130.0 FR France \n", "2020-01-20/2020-01-26 173.0 199.0 FR France \n", "2020-01-27/2020-02-02 269.0 301.0 FR France \n", "2020-02-03/2020-02-09 297.0 331.0 FR France \n", "2020-02-10/2020-02-16 263.0 295.0 FR France \n", "2020-02-17/2020-02-23 203.0 233.0 FR France \n", "2020-02-24/2020-03-01 155.0 181.0 FR France \n", "2020-03-02/2020-03-08 146.0 172.0 FR France \n", "2020-03-09/2020-03-15 142.0 166.0 FR France \n", "2020-03-16/2020-03-22 9.0 17.0 FR France \n", "2020-03-23/2020-03-29 0.0 0.0 FR France \n", "2020-03-30/2020-04-05 0.0 0.0 FR France \n", "\n", "[1848 rows x 10 columns]" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "raw_data[raw_data.isnull().any(axis=1)]\n", "data = raw_data.dropna().copy()\n", "\n", "def convert_week(year_and_week_int):\n", " year_and_week_str = str(year_and_week_int)\n", " year = int(year_and_week_str[:4])\n", " week = int(year_and_week_str[4:])\n", " w = isoweek.Week(year, week)\n", " return pd.Period(w.day(0), 'W')\n", "\n", "data['period'] = [convert_week(yw) for yw in data['week']]\n", "sorted_data = data.set_index('period').sort_index()\n", "\n", "sorted_data" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "2014 1601698\n", "1991 1663610\n", "1995 1828304\n", "2012 2183912\n", "2003 2234514\n", "2019 2254363\n", "2006 2297262\n", "2017 2322818\n", "2001 2540826\n", "1992 2590314\n", "1993 2699482\n", "2018 2701716\n", "1988 2759663\n", "2007 2786458\n", "2011 2852504\n", "2016 2859019\n", "1987 2867464\n", "2008 2984311\n", "1998 3047298\n", "2002 3115484\n", "1994 3514133\n", "1996 3540251\n", "2009 3558474\n", "2004 3572810\n", "1997 3624129\n", "2015 3647492\n", "2000 3808190\n", "2005 3831409\n", "1999 3914003\n", "2010 3992174\n", "2013 4176872\n", "1986 5050543\n", "1990 5214494\n", "1989 5461328\n", "dtype: int64" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "first_sep_week = [pd.Period(pd.Timestamp(y, 9, 1), 'W')\n", " for y in range(1985,\n", " sorted_data.index[-1].year)]\n", "year = []\n", "yearly_incidence = []\n", "for week1, week2 in zip(first_sep_week[:-1],\n", " first_sep_week[1:]):\n", " one_year = sorted_data['inc'][week1:week2-1]\n", " assert abs(len(one_year)-52) < 2\n", " yearly_incidence.append(one_year.sum())\n", " year.append(week2.year)\n", "yearly_incidence = pd.Series(data=yearly_incidence, index=year)\n", "yearly_incidence.sort_values()" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.4" } }, "nbformat": 4, "nbformat_minor": 2 }