From 8dd7aeed97862db04013bbfe1f7207425f3be794 Mon Sep 17 00:00:00 2001 From: 41fd7ed577c9830fe1ded74c03c66f08 <41fd7ed577c9830fe1ded74c03c66f08@app-learninglab.inria.fr> Date: Mon, 27 Apr 2020 09:14:48 +0000 Subject: [PATCH] Sauvegarder data_url --- module3/exo1/analyse-syndrome-grippal.ipynb | 2226 ++++++++++++++++++- 1 file changed, 2189 insertions(+), 37 deletions(-) diff --git a/module3/exo1/analyse-syndrome-grippal.ipynb b/module3/exo1/analyse-syndrome-grippal.ipynb index 59d72b5..9f833a7 100644 --- a/module3/exo1/analyse-syndrome-grippal.ipynb +++ b/module3/exo1/analyse-syndrome-grippal.ipynb @@ -9,7 +9,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -28,15 +28,23 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, + "execution_count": 2, + "metadata": {}, "outputs": [], "source": [ "data_url = \"http://www.sentiweb.fr/datasets/incidence-PAY-3.csv\"" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "if data_url = 0\n", + "save data_url" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -61,9 +69,976 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
0202016300.00.000.00.0FRFrance
1202015300.00.000.00.0FRFrance
2202014300.00.000.00.0FRFrance
3202013300.00.000.00.0FRFrance
4202012383215873.010769.0139.017.0FRFrance
5202011310170493652.0109756.0154142.0166.0FRFrance
6202010310497796650.0113304.0159146.0172.0FRFrance
72020093110696102066.0119326.0168155.0181.0FRFrance
82020083143753133984.0153522.0218203.0233.0FRFrance
92020073183610172812.0194408.0279263.0295.0FRFrance
102020063206669195481.0217857.0314297.0331.0FRFrance
112020053187957177445.0198469.0285269.0301.0FRFrance
122020043122331113492.0131170.0186173.0199.0FRFrance
1320200337841371330.085496.0119108.0130.0FRFrance
1420200235361447654.059574.08172.090.0FRFrance
1520200133685031608.042092.05648.064.0FRFrance
1620195232813523220.033050.04336.050.0FRFrance
1720195132978625042.034530.04538.052.0FRFrance
1820195033422329156.039290.05244.060.0FRFrance
1920194932566221414.029910.03933.045.0FRFrance
2020194832236718055.026679.03427.041.0FRFrance
2120194731866914759.022579.02822.034.0FRFrance
2220194631603012567.019493.02419.029.0FRFrance
232019453101387160.013116.01510.020.0FRFrance
24201944378225010.010634.0128.016.0FRFrance
25201943394876448.012526.0149.019.0FRFrance
26201942377475243.010251.0128.016.0FRFrance
27201941371224720.09524.0117.015.0FRFrance
28201940385055784.011226.0139.017.0FRFrance
29201939370914462.09720.0117.015.0FRFrance
.................................
182119852132609619621.032571.04735.059.0FRFrance
182219852032789620885.034907.05138.064.0FRFrance
182319851934315432821.053487.07859.097.0FRFrance
182419851834055529935.051175.07455.093.0FRFrance
182519851733405324366.043740.06244.080.0FRFrance
182619851635036236451.064273.09166.0116.0FRFrance
182719851536388145538.082224.011683.0149.0FRFrance
18281985143134545114400.0154690.0244207.0281.0FRFrance
18291985133197206176080.0218332.0357319.0395.0FRFrance
18301985123245240223304.0267176.0445405.0485.0FRFrance
18311985113276205252399.0300011.0501458.0544.0FRFrance
18321985103353231326279.0380183.0640591.0689.0FRFrance
18331985093369895341109.0398681.0670618.0722.0FRFrance
18341985083389886359529.0420243.0707652.0762.0FRFrance
18351985073471852432599.0511105.0855784.0926.0FRFrance
18361985063565825518011.0613639.01026939.01113.0FRFrance
18371985053637302592795.0681809.011551074.01236.0FRFrance
18381985043424937390794.0459080.0770708.0832.0FRFrance
18391985033213901174689.0253113.0388317.0459.0FRFrance
184019850239758680949.0114223.0177147.0207.0FRFrance
184119850138548965918.0105060.0155120.0190.0FRFrance
184219845238483060602.0109058.0154110.0198.0FRFrance
1843198451310172680242.0123210.0185146.0224.0FRFrance
18441984503123680101401.0145959.0225184.0266.0FRFrance
1845198449310107381684.0120462.0184149.0219.0FRFrance
184619844837862060634.096606.0143110.0176.0FRFrance
184719844737202954274.089784.013199.0163.0FRFrance
184819844638733067686.0106974.0159123.0195.0FRFrance
18491984453135223101414.0169032.0246184.0308.0FRFrance
185019844436842220056.0116788.012537.0213.0FRFrance
\n", + "

1851 rows × 10 columns

\n", + "
" + ], + "text/plain": [ + " week indicator inc inc_low inc_up inc100 inc100_low \\\n", + "0 202016 3 0 0.0 0.0 0 0.0 \n", + "1 202015 3 0 0.0 0.0 0 0.0 \n", + "2 202014 3 0 0.0 0.0 0 0.0 \n", + "3 202013 3 0 0.0 0.0 0 0.0 \n", + "4 202012 3 8321 5873.0 10769.0 13 9.0 \n", + "5 202011 3 101704 93652.0 109756.0 154 142.0 \n", + "6 202010 3 104977 96650.0 113304.0 159 146.0 \n", + "7 202009 3 110696 102066.0 119326.0 168 155.0 \n", + "8 202008 3 143753 133984.0 153522.0 218 203.0 \n", + "9 202007 3 183610 172812.0 194408.0 279 263.0 \n", + "10 202006 3 206669 195481.0 217857.0 314 297.0 \n", + "11 202005 3 187957 177445.0 198469.0 285 269.0 \n", + "12 202004 3 122331 113492.0 131170.0 186 173.0 \n", + "13 202003 3 78413 71330.0 85496.0 119 108.0 \n", + "14 202002 3 53614 47654.0 59574.0 81 72.0 \n", + "15 202001 3 36850 31608.0 42092.0 56 48.0 \n", + "16 201952 3 28135 23220.0 33050.0 43 36.0 \n", + "17 201951 3 29786 25042.0 34530.0 45 38.0 \n", + "18 201950 3 34223 29156.0 39290.0 52 44.0 \n", + "19 201949 3 25662 21414.0 29910.0 39 33.0 \n", + "20 201948 3 22367 18055.0 26679.0 34 27.0 \n", + "21 201947 3 18669 14759.0 22579.0 28 22.0 \n", + "22 201946 3 16030 12567.0 19493.0 24 19.0 \n", + "23 201945 3 10138 7160.0 13116.0 15 10.0 \n", + "24 201944 3 7822 5010.0 10634.0 12 8.0 \n", + "25 201943 3 9487 6448.0 12526.0 14 9.0 \n", + "26 201942 3 7747 5243.0 10251.0 12 8.0 \n", + "27 201941 3 7122 4720.0 9524.0 11 7.0 \n", + "28 201940 3 8505 5784.0 11226.0 13 9.0 \n", + "29 201939 3 7091 4462.0 9720.0 11 7.0 \n", + "... ... ... ... ... ... ... ... \n", + "1821 198521 3 26096 19621.0 32571.0 47 35.0 \n", + "1822 198520 3 27896 20885.0 34907.0 51 38.0 \n", + "1823 198519 3 43154 32821.0 53487.0 78 59.0 \n", + "1824 198518 3 40555 29935.0 51175.0 74 55.0 \n", + "1825 198517 3 34053 24366.0 43740.0 62 44.0 \n", + "1826 198516 3 50362 36451.0 64273.0 91 66.0 \n", + "1827 198515 3 63881 45538.0 82224.0 116 83.0 \n", + "1828 198514 3 134545 114400.0 154690.0 244 207.0 \n", + "1829 198513 3 197206 176080.0 218332.0 357 319.0 \n", + "1830 198512 3 245240 223304.0 267176.0 445 405.0 \n", + "1831 198511 3 276205 252399.0 300011.0 501 458.0 \n", + "1832 198510 3 353231 326279.0 380183.0 640 591.0 \n", + "1833 198509 3 369895 341109.0 398681.0 670 618.0 \n", + "1834 198508 3 389886 359529.0 420243.0 707 652.0 \n", + "1835 198507 3 471852 432599.0 511105.0 855 784.0 \n", + "1836 198506 3 565825 518011.0 613639.0 1026 939.0 \n", + "1837 198505 3 637302 592795.0 681809.0 1155 1074.0 \n", + "1838 198504 3 424937 390794.0 459080.0 770 708.0 \n", + "1839 198503 3 213901 174689.0 253113.0 388 317.0 \n", + "1840 198502 3 97586 80949.0 114223.0 177 147.0 \n", + "1841 198501 3 85489 65918.0 105060.0 155 120.0 \n", + "1842 198452 3 84830 60602.0 109058.0 154 110.0 \n", + "1843 198451 3 101726 80242.0 123210.0 185 146.0 \n", + "1844 198450 3 123680 101401.0 145959.0 225 184.0 \n", + "1845 198449 3 101073 81684.0 120462.0 184 149.0 \n", + "1846 198448 3 78620 60634.0 96606.0 143 110.0 \n", + "1847 198447 3 72029 54274.0 89784.0 131 99.0 \n", + "1848 198446 3 87330 67686.0 106974.0 159 123.0 \n", + "1849 198445 3 135223 101414.0 169032.0 246 184.0 \n", + "1850 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 0.0 FR France \n", + "3 0.0 FR France \n", + "4 17.0 FR France \n", + "5 166.0 FR France \n", + "6 172.0 FR France \n", + "7 181.0 FR France \n", + "8 233.0 FR France \n", + "9 295.0 FR France \n", + "10 331.0 FR France \n", + "11 301.0 FR France \n", + "12 199.0 FR France \n", + "13 130.0 FR France \n", + "14 90.0 FR France \n", + "15 64.0 FR France \n", + "16 50.0 FR France \n", + "17 52.0 FR France \n", + "18 60.0 FR France \n", + "19 45.0 FR France \n", + "20 41.0 FR France \n", + "21 34.0 FR France \n", + "22 29.0 FR France \n", + "23 20.0 FR France \n", + "24 16.0 FR France \n", + "25 19.0 FR France \n", + "26 16.0 FR France \n", + "27 15.0 FR France \n", + "28 17.0 FR France \n", + "29 15.0 FR France \n", + "... ... ... ... \n", + "1821 59.0 FR France \n", + "1822 64.0 FR France \n", + "1823 97.0 FR France \n", + "1824 93.0 FR France \n", + "1825 80.0 FR France \n", + "1826 116.0 FR France \n", + "1827 149.0 FR France \n", + "1828 281.0 FR France \n", + "1829 395.0 FR France \n", + "1830 485.0 FR France \n", + "1831 544.0 FR France \n", + "1832 689.0 FR France \n", + "1833 722.0 FR France \n", + "1834 762.0 FR France \n", + "1835 926.0 FR France \n", + "1836 1113.0 FR France \n", + "1837 1236.0 FR France \n", + "1838 832.0 FR France \n", + "1839 459.0 FR France \n", + "1840 207.0 FR France \n", + "1841 190.0 FR France \n", + "1842 198.0 FR France \n", + "1843 224.0 FR France \n", + "1844 266.0 FR France \n", + "1845 219.0 FR France \n", + "1846 176.0 FR France \n", + "1847 163.0 FR France \n", + "1848 195.0 FR France \n", + "1849 308.0 FR France \n", + "1850 213.0 FR France \n", + "\n", + "[1851 rows x 10 columns]" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "raw_data = pd.read_csv(data_url, skiprows=1)\n", "raw_data" @@ -78,9 +1053,73 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
161419891930NaNNaN0NaNNaNFRFrance
\n", + "
" + ], + "text/plain": [ + " week indicator inc inc_low inc_up inc100 inc100_low inc100_up \\\n", + "1614 198919 3 0 NaN NaN 0 NaN NaN \n", + "\n", + " geo_insee geo_name \n", + "1614 FR France " + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "raw_data[raw_data.isnull().any(axis=1)]" ] @@ -94,9 +1133,976 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
0202016300.00.000.00.0FRFrance
1202015300.00.000.00.0FRFrance
2202014300.00.000.00.0FRFrance
3202013300.00.000.00.0FRFrance
4202012383215873.010769.0139.017.0FRFrance
5202011310170493652.0109756.0154142.0166.0FRFrance
6202010310497796650.0113304.0159146.0172.0FRFrance
72020093110696102066.0119326.0168155.0181.0FRFrance
82020083143753133984.0153522.0218203.0233.0FRFrance
92020073183610172812.0194408.0279263.0295.0FRFrance
102020063206669195481.0217857.0314297.0331.0FRFrance
112020053187957177445.0198469.0285269.0301.0FRFrance
122020043122331113492.0131170.0186173.0199.0FRFrance
1320200337841371330.085496.0119108.0130.0FRFrance
1420200235361447654.059574.08172.090.0FRFrance
1520200133685031608.042092.05648.064.0FRFrance
1620195232813523220.033050.04336.050.0FRFrance
1720195132978625042.034530.04538.052.0FRFrance
1820195033422329156.039290.05244.060.0FRFrance
1920194932566221414.029910.03933.045.0FRFrance
2020194832236718055.026679.03427.041.0FRFrance
2120194731866914759.022579.02822.034.0FRFrance
2220194631603012567.019493.02419.029.0FRFrance
232019453101387160.013116.01510.020.0FRFrance
24201944378225010.010634.0128.016.0FRFrance
25201943394876448.012526.0149.019.0FRFrance
26201942377475243.010251.0128.016.0FRFrance
27201941371224720.09524.0117.015.0FRFrance
28201940385055784.011226.0139.017.0FRFrance
29201939370914462.09720.0117.015.0FRFrance
.................................
182119852132609619621.032571.04735.059.0FRFrance
182219852032789620885.034907.05138.064.0FRFrance
182319851934315432821.053487.07859.097.0FRFrance
182419851834055529935.051175.07455.093.0FRFrance
182519851733405324366.043740.06244.080.0FRFrance
182619851635036236451.064273.09166.0116.0FRFrance
182719851536388145538.082224.011683.0149.0FRFrance
18281985143134545114400.0154690.0244207.0281.0FRFrance
18291985133197206176080.0218332.0357319.0395.0FRFrance
18301985123245240223304.0267176.0445405.0485.0FRFrance
18311985113276205252399.0300011.0501458.0544.0FRFrance
18321985103353231326279.0380183.0640591.0689.0FRFrance
18331985093369895341109.0398681.0670618.0722.0FRFrance
18341985083389886359529.0420243.0707652.0762.0FRFrance
18351985073471852432599.0511105.0855784.0926.0FRFrance
18361985063565825518011.0613639.01026939.01113.0FRFrance
18371985053637302592795.0681809.011551074.01236.0FRFrance
18381985043424937390794.0459080.0770708.0832.0FRFrance
18391985033213901174689.0253113.0388317.0459.0FRFrance
184019850239758680949.0114223.0177147.0207.0FRFrance
184119850138548965918.0105060.0155120.0190.0FRFrance
184219845238483060602.0109058.0154110.0198.0FRFrance
1843198451310172680242.0123210.0185146.0224.0FRFrance
18441984503123680101401.0145959.0225184.0266.0FRFrance
1845198449310107381684.0120462.0184149.0219.0FRFrance
184619844837862060634.096606.0143110.0176.0FRFrance
184719844737202954274.089784.013199.0163.0FRFrance
184819844638733067686.0106974.0159123.0195.0FRFrance
18491984453135223101414.0169032.0246184.0308.0FRFrance
185019844436842220056.0116788.012537.0213.0FRFrance
\n", + "

1850 rows × 10 columns

\n", + "
" + ], + "text/plain": [ + " week indicator inc inc_low inc_up inc100 inc100_low \\\n", + "0 202016 3 0 0.0 0.0 0 0.0 \n", + "1 202015 3 0 0.0 0.0 0 0.0 \n", + "2 202014 3 0 0.0 0.0 0 0.0 \n", + "3 202013 3 0 0.0 0.0 0 0.0 \n", + "4 202012 3 8321 5873.0 10769.0 13 9.0 \n", + "5 202011 3 101704 93652.0 109756.0 154 142.0 \n", + "6 202010 3 104977 96650.0 113304.0 159 146.0 \n", + "7 202009 3 110696 102066.0 119326.0 168 155.0 \n", + "8 202008 3 143753 133984.0 153522.0 218 203.0 \n", + "9 202007 3 183610 172812.0 194408.0 279 263.0 \n", + "10 202006 3 206669 195481.0 217857.0 314 297.0 \n", + "11 202005 3 187957 177445.0 198469.0 285 269.0 \n", + "12 202004 3 122331 113492.0 131170.0 186 173.0 \n", + "13 202003 3 78413 71330.0 85496.0 119 108.0 \n", + "14 202002 3 53614 47654.0 59574.0 81 72.0 \n", + "15 202001 3 36850 31608.0 42092.0 56 48.0 \n", + "16 201952 3 28135 23220.0 33050.0 43 36.0 \n", + "17 201951 3 29786 25042.0 34530.0 45 38.0 \n", + "18 201950 3 34223 29156.0 39290.0 52 44.0 \n", + "19 201949 3 25662 21414.0 29910.0 39 33.0 \n", + "20 201948 3 22367 18055.0 26679.0 34 27.0 \n", + "21 201947 3 18669 14759.0 22579.0 28 22.0 \n", + "22 201946 3 16030 12567.0 19493.0 24 19.0 \n", + "23 201945 3 10138 7160.0 13116.0 15 10.0 \n", + "24 201944 3 7822 5010.0 10634.0 12 8.0 \n", + "25 201943 3 9487 6448.0 12526.0 14 9.0 \n", + "26 201942 3 7747 5243.0 10251.0 12 8.0 \n", + "27 201941 3 7122 4720.0 9524.0 11 7.0 \n", + "28 201940 3 8505 5784.0 11226.0 13 9.0 \n", + "29 201939 3 7091 4462.0 9720.0 11 7.0 \n", + "... ... ... ... ... ... ... ... \n", + "1821 198521 3 26096 19621.0 32571.0 47 35.0 \n", + "1822 198520 3 27896 20885.0 34907.0 51 38.0 \n", + "1823 198519 3 43154 32821.0 53487.0 78 59.0 \n", + "1824 198518 3 40555 29935.0 51175.0 74 55.0 \n", + "1825 198517 3 34053 24366.0 43740.0 62 44.0 \n", + "1826 198516 3 50362 36451.0 64273.0 91 66.0 \n", + "1827 198515 3 63881 45538.0 82224.0 116 83.0 \n", + "1828 198514 3 134545 114400.0 154690.0 244 207.0 \n", + "1829 198513 3 197206 176080.0 218332.0 357 319.0 \n", + "1830 198512 3 245240 223304.0 267176.0 445 405.0 \n", + "1831 198511 3 276205 252399.0 300011.0 501 458.0 \n", + "1832 198510 3 353231 326279.0 380183.0 640 591.0 \n", + "1833 198509 3 369895 341109.0 398681.0 670 618.0 \n", + "1834 198508 3 389886 359529.0 420243.0 707 652.0 \n", + "1835 198507 3 471852 432599.0 511105.0 855 784.0 \n", + "1836 198506 3 565825 518011.0 613639.0 1026 939.0 \n", + "1837 198505 3 637302 592795.0 681809.0 1155 1074.0 \n", + "1838 198504 3 424937 390794.0 459080.0 770 708.0 \n", + "1839 198503 3 213901 174689.0 253113.0 388 317.0 \n", + "1840 198502 3 97586 80949.0 114223.0 177 147.0 \n", + "1841 198501 3 85489 65918.0 105060.0 155 120.0 \n", + "1842 198452 3 84830 60602.0 109058.0 154 110.0 \n", + "1843 198451 3 101726 80242.0 123210.0 185 146.0 \n", + "1844 198450 3 123680 101401.0 145959.0 225 184.0 \n", + "1845 198449 3 101073 81684.0 120462.0 184 149.0 \n", + "1846 198448 3 78620 60634.0 96606.0 143 110.0 \n", + "1847 198447 3 72029 54274.0 89784.0 131 99.0 \n", + "1848 198446 3 87330 67686.0 106974.0 159 123.0 \n", + "1849 198445 3 135223 101414.0 169032.0 246 184.0 \n", + "1850 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 0.0 FR France \n", + "3 0.0 FR France \n", + "4 17.0 FR France \n", + "5 166.0 FR France \n", + "6 172.0 FR France \n", + "7 181.0 FR France \n", + "8 233.0 FR France \n", + "9 295.0 FR France \n", + "10 331.0 FR France \n", + "11 301.0 FR France \n", + "12 199.0 FR France \n", + "13 130.0 FR France \n", + "14 90.0 FR France \n", + "15 64.0 FR France \n", + "16 50.0 FR France \n", + "17 52.0 FR France \n", + "18 60.0 FR France \n", + "19 45.0 FR France \n", + "20 41.0 FR France \n", + "21 34.0 FR France \n", + "22 29.0 FR France \n", + "23 20.0 FR France \n", + "24 16.0 FR France \n", + "25 19.0 FR France \n", + "26 16.0 FR France \n", + "27 15.0 FR France \n", + "28 17.0 FR France \n", + "29 15.0 FR France \n", + "... ... ... ... \n", + "1821 59.0 FR France \n", + "1822 64.0 FR France \n", + "1823 97.0 FR France \n", + "1824 93.0 FR France \n", + "1825 80.0 FR France \n", + "1826 116.0 FR France \n", + "1827 149.0 FR France \n", + "1828 281.0 FR France \n", + "1829 395.0 FR France \n", + "1830 485.0 FR France \n", + "1831 544.0 FR France \n", + "1832 689.0 FR France \n", + "1833 722.0 FR France \n", + "1834 762.0 FR France \n", + "1835 926.0 FR France \n", + "1836 1113.0 FR France \n", + "1837 1236.0 FR France \n", + "1838 832.0 FR France \n", + "1839 459.0 FR France \n", + "1840 207.0 FR France \n", + "1841 190.0 FR France \n", + "1842 198.0 FR France \n", + "1843 224.0 FR France \n", + "1844 266.0 FR France \n", + "1845 219.0 FR France \n", + "1846 176.0 FR France \n", + "1847 163.0 FR France \n", + "1848 195.0 FR France \n", + "1849 308.0 FR France \n", + "1850 213.0 FR France \n", + "\n", + "[1850 rows x 10 columns]" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "data = raw_data.dropna().copy()\n", "data" @@ -122,7 +2128,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -152,10 +2158,8 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, + "execution_count": 7, + "metadata": {}, "outputs": [], "source": [ "sorted_data = data.set_index('period').sort_index()" @@ -179,9 +2183,17 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1989-05-01/1989-05-07 1989-05-15/1989-05-21\n" + ] + } + ], "source": [ "periods = sorted_data.index\n", "for p1, p2 in zip(periods[:-1], periods[1:]):\n", @@ -199,9 +2211,32 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "sorted_data['inc'].plot()" ] @@ -215,9 +2250,32 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "sorted_data['inc'][-200:].plot()" ] @@ -252,10 +2310,8 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, + "execution_count": 11, + "metadata": {}, "outputs": [], "source": [ "first_august_week = [pd.Period(pd.Timestamp(y, 8, 1), 'W')\n", @@ -274,7 +2330,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "metadata": {}, "outputs": [], "source": [ @@ -298,9 +2354,32 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 13, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "yearly_incidence.plot(style='*')" ] @@ -314,9 +2393,54 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "2014 1600941\n", + "1991 1659249\n", + "1995 1840410\n", + "2012 2175217\n", + "2003 2234584\n", + "2019 2254386\n", + "2006 2307352\n", + "2017 2321583\n", + "2001 2529279\n", + "1992 2574578\n", + "1993 2703886\n", + "2018 2705325\n", + "1988 2765617\n", + "2007 2780164\n", + "1987 2855570\n", + "2016 2856393\n", + "2011 2857040\n", + "2008 2973918\n", + "1998 3034904\n", + "2002 3125418\n", + "2009 3444020\n", + "1994 3514763\n", + "1996 3539413\n", + "2004 3567744\n", + "1997 3620066\n", + "2015 3654892\n", + "2000 3826372\n", + "2005 3835025\n", + "1999 3908112\n", + "2010 4111392\n", + "2013 4182691\n", + "1986 5115251\n", + "1990 5235827\n", + "1989 5466192\n", + "dtype: int64" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "yearly_incidence.sort_values()" ] @@ -331,9 +2455,32 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 15, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "yearly_incidence.hist(xrot=20)" ] @@ -341,9 +2488,14 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": true - }, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, "outputs": [], "source": [] } @@ -364,7 +2516,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.1" + "version": "3.6.4" } }, "nbformat": 4, -- 2.18.1