From 9ea08cba06aaf885bb624cd261bb9fcba4d376c0 Mon Sep 17 00:00:00 2001 From: 3b9633eb05b6d078e85d0f7bcdbf37c4 <3b9633eb05b6d078e85d0f7bcdbf37c4@app-learninglab.inria.fr> Date: Wed, 17 May 2023 19:39:52 +0000 Subject: [PATCH] Add save mechanism --- module3/exo1/analyse-syndrome-grippal.ipynb | 2226 ++++++++++++++++++- module3/exo1/syndrome-grippal.csv | 2013 +++++++++++++++++ 2 files changed, 4202 insertions(+), 37 deletions(-) create mode 100644 module3/exo1/syndrome-grippal.csv diff --git a/module3/exo1/analyse-syndrome-grippal.ipynb b/module3/exo1/analyse-syndrome-grippal.ipynb index 59d72b5..104ca96 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": [ @@ -28,10 +28,8 @@ }, { "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\"" @@ -61,11 +59,992 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 16, "metadata": {}, "outputs": [], "source": [ - "raw_data = pd.read_csv(data_url, skiprows=1)\n", + "data_file = \"syndrome-grippal.csv\"\n", + "\n", + "import os\n", + "import urllib.request\n", + "if not os.path.exists(data_file):\n", + " urllib.request.urlretrieve(data_url, data_file)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
020231931820513137.023273.02719.035.0FRFrance
120231832016515591.024739.03023.037.0FRFrance
220231732700721779.032235.04133.049.0FRFrance
320231632787522767.032983.04234.050.0FRFrance
420231533745530993.043917.05646.066.0FRFrance
520231434806040671.055449.07261.083.0FRFrance
620231336485956800.072918.09886.0110.0FRFrance
720231237275064499.081001.010997.0121.0FRFrance
820231137463866420.082856.0112100.0124.0FRFrance
920231037636868243.084493.0115103.0127.0FRFrance
1020230936206254778.069346.09382.0104.0FRFrance
1120230837639168065.084717.0115102.0128.0FRFrance
1220230738985180397.099305.0135121.0149.0FRFrance
1320230639736887636.0107100.0146131.0161.0FRFrance
1420230539546986268.0104670.0144130.0158.0FRFrance
1520230437490166916.082886.0113101.0125.0FRFrance
1620230336957061893.077247.010593.0117.0FRFrance
1720230237826070090.086430.0118106.0130.0FRFrance
182023013121773111024.0132522.0183167.0199.0FRFrance
192022523155371142004.0168738.0234214.0254.0FRFrance
202022513248319232128.0264510.0374350.0398.0FRFrance
212022503234143219402.0248884.0353331.0375.0FRFrance
222022493163384151691.0175077.0246228.0264.0FRFrance
232022483121691111744.0131638.0184169.0199.0FRFrance
2420224739641687230.0105602.0145131.0159.0FRFrance
2520224636773560075.075395.010290.0114.0FRFrance
2620224534530638909.051703.06858.078.0FRFrance
2720224433471328880.040546.05243.061.0FRFrance
2820224334476936884.052654.06856.080.0FRFrance
2920224234746240773.054151.07262.082.0FRFrance
.................................
198119852132609619621.032571.04735.059.0FRFrance
198219852032789620885.034907.05138.064.0FRFrance
198319851934315432821.053487.07859.097.0FRFrance
198419851834055529935.051175.07455.093.0FRFrance
198519851733405324366.043740.06244.080.0FRFrance
198619851635036236451.064273.09166.0116.0FRFrance
198719851536388145538.082224.011683.0149.0FRFrance
19881985143134545114400.0154690.0244207.0281.0FRFrance
19891985133197206176080.0218332.0357319.0395.0FRFrance
19901985123245240223304.0267176.0445405.0485.0FRFrance
19911985113276205252399.0300011.0501458.0544.0FRFrance
19921985103353231326279.0380183.0640591.0689.0FRFrance
19931985093369895341109.0398681.0670618.0722.0FRFrance
19941985083389886359529.0420243.0707652.0762.0FRFrance
19951985073471852432599.0511105.0855784.0926.0FRFrance
19961985063565825518011.0613639.01026939.01113.0FRFrance
19971985053637302592795.0681809.011551074.01236.0FRFrance
19981985043424937390794.0459080.0770708.0832.0FRFrance
19991985033213901174689.0253113.0388317.0459.0FRFrance
200019850239758680949.0114223.0177147.0207.0FRFrance
200119850138548965918.0105060.0155120.0190.0FRFrance
200219845238483060602.0109058.0154110.0198.0FRFrance
2003198451310172680242.0123210.0185146.0224.0FRFrance
20041984503123680101401.0145959.0225184.0266.0FRFrance
2005198449310107381684.0120462.0184149.0219.0FRFrance
200619844837862060634.096606.0143110.0176.0FRFrance
200719844737202954274.089784.013199.0163.0FRFrance
200819844638733067686.0106974.0159123.0195.0FRFrance
20091984453135223101414.0169032.0246184.0308.0FRFrance
201019844436842220056.0116788.012537.0213.0FRFrance
\n", + "

2011 rows × 10 columns

\n", + "
" + ], + "text/plain": [ + " week indicator inc inc_low inc_up inc100 inc100_low \\\n", + "0 202319 3 18205 13137.0 23273.0 27 19.0 \n", + "1 202318 3 20165 15591.0 24739.0 30 23.0 \n", + "2 202317 3 27007 21779.0 32235.0 41 33.0 \n", + "3 202316 3 27875 22767.0 32983.0 42 34.0 \n", + "4 202315 3 37455 30993.0 43917.0 56 46.0 \n", + "5 202314 3 48060 40671.0 55449.0 72 61.0 \n", + "6 202313 3 64859 56800.0 72918.0 98 86.0 \n", + "7 202312 3 72750 64499.0 81001.0 109 97.0 \n", + "8 202311 3 74638 66420.0 82856.0 112 100.0 \n", + "9 202310 3 76368 68243.0 84493.0 115 103.0 \n", + "10 202309 3 62062 54778.0 69346.0 93 82.0 \n", + "11 202308 3 76391 68065.0 84717.0 115 102.0 \n", + "12 202307 3 89851 80397.0 99305.0 135 121.0 \n", + "13 202306 3 97368 87636.0 107100.0 146 131.0 \n", + "14 202305 3 95469 86268.0 104670.0 144 130.0 \n", + "15 202304 3 74901 66916.0 82886.0 113 101.0 \n", + "16 202303 3 69570 61893.0 77247.0 105 93.0 \n", + "17 202302 3 78260 70090.0 86430.0 118 106.0 \n", + "18 202301 3 121773 111024.0 132522.0 183 167.0 \n", + "19 202252 3 155371 142004.0 168738.0 234 214.0 \n", + "20 202251 3 248319 232128.0 264510.0 374 350.0 \n", + "21 202250 3 234143 219402.0 248884.0 353 331.0 \n", + "22 202249 3 163384 151691.0 175077.0 246 228.0 \n", + "23 202248 3 121691 111744.0 131638.0 184 169.0 \n", + "24 202247 3 96416 87230.0 105602.0 145 131.0 \n", + "25 202246 3 67735 60075.0 75395.0 102 90.0 \n", + "26 202245 3 45306 38909.0 51703.0 68 58.0 \n", + "27 202244 3 34713 28880.0 40546.0 52 43.0 \n", + "28 202243 3 44769 36884.0 52654.0 68 56.0 \n", + "29 202242 3 47462 40773.0 54151.0 72 62.0 \n", + "... ... ... ... ... ... ... ... \n", + "1981 198521 3 26096 19621.0 32571.0 47 35.0 \n", + "1982 198520 3 27896 20885.0 34907.0 51 38.0 \n", + "1983 198519 3 43154 32821.0 53487.0 78 59.0 \n", + "1984 198518 3 40555 29935.0 51175.0 74 55.0 \n", + "1985 198517 3 34053 24366.0 43740.0 62 44.0 \n", + "1986 198516 3 50362 36451.0 64273.0 91 66.0 \n", + "1987 198515 3 63881 45538.0 82224.0 116 83.0 \n", + "1988 198514 3 134545 114400.0 154690.0 244 207.0 \n", + "1989 198513 3 197206 176080.0 218332.0 357 319.0 \n", + "1990 198512 3 245240 223304.0 267176.0 445 405.0 \n", + "1991 198511 3 276205 252399.0 300011.0 501 458.0 \n", + "1992 198510 3 353231 326279.0 380183.0 640 591.0 \n", + "1993 198509 3 369895 341109.0 398681.0 670 618.0 \n", + "1994 198508 3 389886 359529.0 420243.0 707 652.0 \n", + "1995 198507 3 471852 432599.0 511105.0 855 784.0 \n", + "1996 198506 3 565825 518011.0 613639.0 1026 939.0 \n", + "1997 198505 3 637302 592795.0 681809.0 1155 1074.0 \n", + "1998 198504 3 424937 390794.0 459080.0 770 708.0 \n", + "1999 198503 3 213901 174689.0 253113.0 388 317.0 \n", + "2000 198502 3 97586 80949.0 114223.0 177 147.0 \n", + "2001 198501 3 85489 65918.0 105060.0 155 120.0 \n", + "2002 198452 3 84830 60602.0 109058.0 154 110.0 \n", + "2003 198451 3 101726 80242.0 123210.0 185 146.0 \n", + "2004 198450 3 123680 101401.0 145959.0 225 184.0 \n", + "2005 198449 3 101073 81684.0 120462.0 184 149.0 \n", + "2006 198448 3 78620 60634.0 96606.0 143 110.0 \n", + "2007 198447 3 72029 54274.0 89784.0 131 99.0 \n", + "2008 198446 3 87330 67686.0 106974.0 159 123.0 \n", + "2009 198445 3 135223 101414.0 169032.0 246 184.0 \n", + "2010 198444 3 68422 20056.0 116788.0 125 37.0 \n", + "\n", + " inc100_up geo_insee geo_name \n", + "0 35.0 FR France \n", + "1 37.0 FR France \n", + "2 49.0 FR France \n", + "3 50.0 FR France \n", + "4 66.0 FR France \n", + "5 83.0 FR France \n", + "6 110.0 FR France \n", + "7 121.0 FR France \n", + "8 124.0 FR France \n", + "9 127.0 FR France \n", + "10 104.0 FR France \n", + "11 128.0 FR France \n", + "12 149.0 FR France \n", + "13 161.0 FR France \n", + "14 158.0 FR France \n", + "15 125.0 FR France \n", + "16 117.0 FR France \n", + "17 130.0 FR France \n", + "18 199.0 FR France \n", + "19 254.0 FR France \n", + "20 398.0 FR France \n", + "21 375.0 FR France \n", + "22 264.0 FR France \n", + "23 199.0 FR France \n", + "24 159.0 FR France \n", + "25 114.0 FR France \n", + "26 78.0 FR France \n", + "27 61.0 FR France \n", + "28 80.0 FR France \n", + "29 82.0 FR France \n", + "... ... ... ... \n", + "1981 59.0 FR France \n", + "1982 64.0 FR France \n", + "1983 97.0 FR France \n", + "1984 93.0 FR France \n", + "1985 80.0 FR France \n", + "1986 116.0 FR France \n", + "1987 149.0 FR France \n", + "1988 281.0 FR France \n", + "1989 395.0 FR France \n", + "1990 485.0 FR France \n", + "1991 544.0 FR France \n", + "1992 689.0 FR France \n", + "1993 722.0 FR France \n", + "1994 762.0 FR France \n", + "1995 926.0 FR France \n", + "1996 1113.0 FR France \n", + "1997 1236.0 FR France \n", + "1998 832.0 FR France \n", + "1999 459.0 FR France \n", + "2000 207.0 FR France \n", + "2001 190.0 FR France \n", + "2002 198.0 FR France \n", + "2003 224.0 FR France \n", + "2004 266.0 FR France \n", + "2005 219.0 FR France \n", + "2006 176.0 FR France \n", + "2007 163.0 FR France \n", + "2008 195.0 FR France \n", + "2009 308.0 FR France \n", + "2010 213.0 FR France \n", + "\n", + "[2011 rows x 10 columns]" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "raw_data = pd.read_csv(data_file, skiprows=1)\n", "raw_data" ] }, @@ -78,9 +1057,73 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
177419891930NaNNaN0NaNNaNFRFrance
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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
020231931820513137.023273.02719.035.0FRFrance
120231832016515591.024739.03023.037.0FRFrance
220231732700721779.032235.04133.049.0FRFrance
320231632787522767.032983.04234.050.0FRFrance
420231533745530993.043917.05646.066.0FRFrance
520231434806040671.055449.07261.083.0FRFrance
620231336485956800.072918.09886.0110.0FRFrance
720231237275064499.081001.010997.0121.0FRFrance
820231137463866420.082856.0112100.0124.0FRFrance
920231037636868243.084493.0115103.0127.0FRFrance
1020230936206254778.069346.09382.0104.0FRFrance
1120230837639168065.084717.0115102.0128.0FRFrance
1220230738985180397.099305.0135121.0149.0FRFrance
1320230639736887636.0107100.0146131.0161.0FRFrance
1420230539546986268.0104670.0144130.0158.0FRFrance
1520230437490166916.082886.0113101.0125.0FRFrance
1620230336957061893.077247.010593.0117.0FRFrance
1720230237826070090.086430.0118106.0130.0FRFrance
182023013121773111024.0132522.0183167.0199.0FRFrance
192022523155371142004.0168738.0234214.0254.0FRFrance
202022513248319232128.0264510.0374350.0398.0FRFrance
212022503234143219402.0248884.0353331.0375.0FRFrance
222022493163384151691.0175077.0246228.0264.0FRFrance
232022483121691111744.0131638.0184169.0199.0FRFrance
2420224739641687230.0105602.0145131.0159.0FRFrance
2520224636773560075.075395.010290.0114.0FRFrance
2620224534530638909.051703.06858.078.0FRFrance
2720224433471328880.040546.05243.061.0FRFrance
2820224334476936884.052654.06856.080.0FRFrance
2920224234746240773.054151.07262.082.0FRFrance
.................................
198119852132609619621.032571.04735.059.0FRFrance
198219852032789620885.034907.05138.064.0FRFrance
198319851934315432821.053487.07859.097.0FRFrance
198419851834055529935.051175.07455.093.0FRFrance
198519851733405324366.043740.06244.080.0FRFrance
198619851635036236451.064273.09166.0116.0FRFrance
198719851536388145538.082224.011683.0149.0FRFrance
19881985143134545114400.0154690.0244207.0281.0FRFrance
19891985133197206176080.0218332.0357319.0395.0FRFrance
19901985123245240223304.0267176.0445405.0485.0FRFrance
19911985113276205252399.0300011.0501458.0544.0FRFrance
19921985103353231326279.0380183.0640591.0689.0FRFrance
19931985093369895341109.0398681.0670618.0722.0FRFrance
19941985083389886359529.0420243.0707652.0762.0FRFrance
19951985073471852432599.0511105.0855784.0926.0FRFrance
19961985063565825518011.0613639.01026939.01113.0FRFrance
19971985053637302592795.0681809.011551074.01236.0FRFrance
19981985043424937390794.0459080.0770708.0832.0FRFrance
19991985033213901174689.0253113.0388317.0459.0FRFrance
200019850239758680949.0114223.0177147.0207.0FRFrance
200119850138548965918.0105060.0155120.0190.0FRFrance
200219845238483060602.0109058.0154110.0198.0FRFrance
2003198451310172680242.0123210.0185146.0224.0FRFrance
20041984503123680101401.0145959.0225184.0266.0FRFrance
2005198449310107381684.0120462.0184149.0219.0FRFrance
200619844837862060634.096606.0143110.0176.0FRFrance
200719844737202954274.089784.013199.0163.0FRFrance
200819844638733067686.0106974.0159123.0195.0FRFrance
20091984453135223101414.0169032.0246184.0308.0FRFrance
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2010 rows × 10 columns

\n", + "
" + ], + "text/plain": [ + " week indicator inc inc_low inc_up inc100 inc100_low \\\n", + "0 202319 3 18205 13137.0 23273.0 27 19.0 \n", + "1 202318 3 20165 15591.0 24739.0 30 23.0 \n", + "2 202317 3 27007 21779.0 32235.0 41 33.0 \n", + "3 202316 3 27875 22767.0 32983.0 42 34.0 \n", + "4 202315 3 37455 30993.0 43917.0 56 46.0 \n", + "5 202314 3 48060 40671.0 55449.0 72 61.0 \n", + "6 202313 3 64859 56800.0 72918.0 98 86.0 \n", + "7 202312 3 72750 64499.0 81001.0 109 97.0 \n", + "8 202311 3 74638 66420.0 82856.0 112 100.0 \n", + "9 202310 3 76368 68243.0 84493.0 115 103.0 \n", + "10 202309 3 62062 54778.0 69346.0 93 82.0 \n", + "11 202308 3 76391 68065.0 84717.0 115 102.0 \n", + "12 202307 3 89851 80397.0 99305.0 135 121.0 \n", + "13 202306 3 97368 87636.0 107100.0 146 131.0 \n", + "14 202305 3 95469 86268.0 104670.0 144 130.0 \n", + "15 202304 3 74901 66916.0 82886.0 113 101.0 \n", + "16 202303 3 69570 61893.0 77247.0 105 93.0 \n", + "17 202302 3 78260 70090.0 86430.0 118 106.0 \n", + "18 202301 3 121773 111024.0 132522.0 183 167.0 \n", + "19 202252 3 155371 142004.0 168738.0 234 214.0 \n", + "20 202251 3 248319 232128.0 264510.0 374 350.0 \n", + "21 202250 3 234143 219402.0 248884.0 353 331.0 \n", + "22 202249 3 163384 151691.0 175077.0 246 228.0 \n", + "23 202248 3 121691 111744.0 131638.0 184 169.0 \n", + "24 202247 3 96416 87230.0 105602.0 145 131.0 \n", + "25 202246 3 67735 60075.0 75395.0 102 90.0 \n", + "26 202245 3 45306 38909.0 51703.0 68 58.0 \n", + "27 202244 3 34713 28880.0 40546.0 52 43.0 \n", + "28 202243 3 44769 36884.0 52654.0 68 56.0 \n", + "29 202242 3 47462 40773.0 54151.0 72 62.0 \n", + "... ... ... ... ... ... ... ... \n", + "1981 198521 3 26096 19621.0 32571.0 47 35.0 \n", + "1982 198520 3 27896 20885.0 34907.0 51 38.0 \n", + "1983 198519 3 43154 32821.0 53487.0 78 59.0 \n", + "1984 198518 3 40555 29935.0 51175.0 74 55.0 \n", + "1985 198517 3 34053 24366.0 43740.0 62 44.0 \n", + "1986 198516 3 50362 36451.0 64273.0 91 66.0 \n", + "1987 198515 3 63881 45538.0 82224.0 116 83.0 \n", + "1988 198514 3 134545 114400.0 154690.0 244 207.0 \n", + "1989 198513 3 197206 176080.0 218332.0 357 319.0 \n", + "1990 198512 3 245240 223304.0 267176.0 445 405.0 \n", + "1991 198511 3 276205 252399.0 300011.0 501 458.0 \n", + "1992 198510 3 353231 326279.0 380183.0 640 591.0 \n", + "1993 198509 3 369895 341109.0 398681.0 670 618.0 \n", + "1994 198508 3 389886 359529.0 420243.0 707 652.0 \n", + "1995 198507 3 471852 432599.0 511105.0 855 784.0 \n", + "1996 198506 3 565825 518011.0 613639.0 1026 939.0 \n", + "1997 198505 3 637302 592795.0 681809.0 1155 1074.0 \n", + "1998 198504 3 424937 390794.0 459080.0 770 708.0 \n", + "1999 198503 3 213901 174689.0 253113.0 388 317.0 \n", + "2000 198502 3 97586 80949.0 114223.0 177 147.0 \n", + "2001 198501 3 85489 65918.0 105060.0 155 120.0 \n", + "2002 198452 3 84830 60602.0 109058.0 154 110.0 \n", + "2003 198451 3 101726 80242.0 123210.0 185 146.0 \n", + "2004 198450 3 123680 101401.0 145959.0 225 184.0 \n", + "2005 198449 3 101073 81684.0 120462.0 184 149.0 \n", + "2006 198448 3 78620 60634.0 96606.0 143 110.0 \n", + "2007 198447 3 72029 54274.0 89784.0 131 99.0 \n", + "2008 198446 3 87330 67686.0 106974.0 159 123.0 \n", + "2009 198445 3 135223 101414.0 169032.0 246 184.0 \n", + "2010 198444 3 68422 20056.0 116788.0 125 37.0 \n", + "\n", + " inc100_up geo_insee geo_name \n", + "0 35.0 FR France \n", + "1 37.0 FR France \n", + "2 49.0 FR France \n", + "3 50.0 FR France \n", + "4 66.0 FR France \n", + "5 83.0 FR France \n", + "6 110.0 FR France \n", + "7 121.0 FR France \n", + "8 124.0 FR France \n", + "9 127.0 FR France \n", + "10 104.0 FR France \n", + "11 128.0 FR France \n", + "12 149.0 FR France \n", + "13 161.0 FR France \n", + "14 158.0 FR France \n", + "15 125.0 FR France \n", + "16 117.0 FR France \n", + "17 130.0 FR France \n", + "18 199.0 FR France \n", + "19 254.0 FR France \n", + "20 398.0 FR France \n", + "21 375.0 FR France \n", + "22 264.0 FR France \n", + "23 199.0 FR France \n", + "24 159.0 FR France \n", + "25 114.0 FR France \n", + "26 78.0 FR France \n", + "27 61.0 FR France \n", + "28 80.0 FR France \n", + "29 82.0 FR France \n", + "... ... ... ... \n", + "1981 59.0 FR France \n", + "1982 64.0 FR France \n", + "1983 97.0 FR France \n", + "1984 93.0 FR France \n", + "1985 80.0 FR France \n", + "1986 116.0 FR France \n", + "1987 149.0 FR France \n", + "1988 281.0 FR France \n", + "1989 395.0 FR France \n", + "1990 485.0 FR France \n", + "1991 544.0 FR France \n", + "1992 689.0 FR France \n", + "1993 722.0 FR France \n", + "1994 762.0 FR France \n", + "1995 926.0 FR France \n", + "1996 1113.0 FR France \n", + "1997 1236.0 FR France \n", + "1998 832.0 FR France \n", + "1999 459.0 FR France \n", + "2000 207.0 FR France \n", + "2001 190.0 FR France \n", + "2002 198.0 FR France \n", + "2003 224.0 FR France \n", + "2004 266.0 FR France \n", + "2005 219.0 FR France \n", + "2006 176.0 FR France \n", + "2007 163.0 FR France \n", + "2008 195.0 FR France \n", + "2009 308.0 FR France \n", + "2010 213.0 FR France \n", + "\n", + "[2010 rows x 10 columns]" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "data = raw_data.dropna().copy()\n", "data" @@ -122,7 +2132,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -152,10 +2162,8 @@ }, { "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 +2187,17 @@ }, { "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 +2215,32 @@ }, { "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", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "yearly_incidence.plot(style='*')" ] @@ -314,9 +2397,57 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "2021 743449\n", + "2014 1600941\n", + "1991 1659249\n", + "1995 1840410\n", + "2020 2010315\n", + "2022 2060304\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 +2462,32 @@ }, { "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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+ "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "yearly_incidence.hist(xrot=20)" ] @@ -341,9 +2495,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": true - }, + "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, diff --git a/module3/exo1/syndrome-grippal.csv b/module3/exo1/syndrome-grippal.csv new file mode 100644 index 0000000..e23c675 --- /dev/null +++ b/module3/exo1/syndrome-grippal.csv @@ -0,0 +1,2013 @@ +# @source="réseau Sentinelles, INSERM, Sorbonne Université, http://www.sentiweb.fr", @meta={"period":[198444,202319],"geo":["PAY","1"],"geo_ref":"insee","indicator":"3","type":"all","conf_int":true,"compact":false}, @date=2023-05-17T21:27:54+02:00 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