From ca2471a3b0ac12a51bff25ae094d0c65850b77d0 Mon Sep 17 00:00:00 2001 From: ca6d2ab2e0e34a45ff188c75584d9cb3 Date: Fri, 9 Feb 2024 13:56:38 +0000 Subject: [PATCH] =?UTF-8?q?L'exercice=20est=20normalement=20rempli=20(?= =?UTF-8?q?=C3=A0=20v=C3=A9rfier)?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- module2/exo3/exercice.ipynb | 8 +- module3/exo1/analyse-syndrome-grippal.ipynb | 2116 ++++++++++++++++++- module3/exo1/incidence-PAY-25.csv | 205 ++ 3 files changed, 2295 insertions(+), 34 deletions(-) create mode 100644 module3/exo1/incidence-PAY-25.csv diff --git a/module2/exo3/exercice.ipynb b/module2/exo3/exercice.ipynb index 457651d..453c773 100644 --- a/module2/exo3/exercice.ipynb +++ b/module2/exo3/exercice.ipynb @@ -2,12 +2,12 @@ "cells": [ { "cell_type": "code", - "execution_count": 23, + "execution_count": 3, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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" ] @@ -21,14 +21,14 @@ "source": [ "import matplotlib.pyplot as plt\n", "data = [14.0, 7.6, 11.2, 12.8, 12.5, 9.9, 14.9, 9.4, 16.9, 10.2, 14.9, 18.1, 7.3, 9.8, 10.9,12.2, 9.9, 2.9, 2.8, 15.4, 15.7, 9.7, 13.1, 13.2, 12.3, 11.7, 16.0, 12.4, 17.9, 12.2, 16.2, 18.7, 8.9, 11.9, 12.1, 14.6, 12.1, 4.7, 3.9, 16.9, 16.8, 11.3, 14.4, 15.7, 14.0, 13.6, 18.0, 13.6, 19.9, 13.7, 17.0, 20.5, 9.9, 12.5, 13.2, 16.1, 13.5, 6.3, 6.4, 17.6, 19.1, 12.8, 15.5, 16.3, 15.2, 14.6, 19.1, 14.4, 21.4, 15.1, 19.6, 21.7, 11.3, 15.0, 14.3, 16.8, 14.0, 6.8, 8.2, 19.9, 20.4, 14.6, 16.4, 18.7, 16.8, 15.8, 20.4, 15.8, 22.4, 16.2, 20.3, 23.4, 12.1, 15.5, 15.4, 18.4, 15.7, 10.2, 8.9, 21.0]\n", - "plt.plot(data,color = 'blue',linewidth=1)\n", + "plt.plot(data,color = 'blue',linewidth=0.5)\n", "plt.grid(linestyle=':')\n", "plt.show()" ] }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 2, "metadata": {}, "outputs": [ { diff --git a/module3/exo1/analyse-syndrome-grippal.ipynb b/module3/exo1/analyse-syndrome-grippal.ipynb index 59d72b5..2ccac28 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": [ @@ -28,13 +28,32 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "data_url = \"http://www.sentiweb.fr/datasets/incidence-PAY-25.csv?v=cm08v\"" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Pour nous protéger contre une éventuelle disparition ou modification du serveur du Réseau Sentinelles, nous faisons une copie locale de ce jeux de données que nous préservons avec notre analyse. Il est inutile et même risquée de télécharger les données à chaque exécution, car dans le cas d'une panne nous pourrions remplacer nos données par un fichier défectueux. Pour cette raison, nous téléchargeons les données seulement si la copie locale n'existe pas." + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, "outputs": [], "source": [ - "data_url = \"http://www.sentiweb.fr/datasets/incidence-PAY-3.csv\"" + "data_file = \"incidence-PAY-25.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)" ] }, { @@ -61,11 +80,978 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 17, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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203 rows × 10 columns

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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
020240525330337312319348355495468522FRFrance
120240425314616299073330159472449495FRFrance
220240325260433246176274690390369411FRFrance
320240225223175209907236443335315355FRFrance
420240125207680192579222781311288334FRFrance
520235225204801189186220416308285331FRFrance
620235125281235264279298191423397449FRFrance
720235025281168265632296704423400446FRFrance
820234925286802271137302467431407455FRFrance
920234825247301232152262450372349395FRFrance
1020234725224971210414239528338316360FRFrance
1120234625170563157940183186257238276FRFrance
1220234525150125137230163020226207245FRFrance
132023442510860898016119200163147179FRFrance
142023432510515994706115612158142174FRFrance
1520234225123120111942134298185168202FRFrance
1620234125126477115697137257190174206FRFrance
1720234025145262132323158201219200238FRFrance
1820233925156932144286169578236217255FRFrance
1920233825140770128842152698212194230FRFrance
202023372510944098918119962165149181FRFrance
21202336259080281444100160137123151FRFrance
2220233525753536652184185113100126FRFrance
23202334256229853692709049481107FRFrance
2420233325513154186260768776391FRFrance
2520233225444113680352019675678FRFrance
2620233125450463708953003685680FRFrance
2720233025436453531951971665379FRFrance
2820232925360792882043338544365FRFrance
2920232825324662587139061493959FRFrance
.................................
17320204125819547392189987124112136FRFrance
1742020402567761603107521210392114FRFrance
1752020392568999613507664810593117FRFrance
17620203825886388012297154135122148FRFrance
17720203725564544977663132867696FRFrance
17820203625241491999128307373143FRFrance
17920203525198311552824134302337FRFrance
1802020342511690787615504181224FRFrance
1812020332510848714514551161022FRFrance
1822020322511409742215396171123FRFrance
1832020312513366941217320201426FRFrance
18420203025214281660926247332640FRFrance
18520202925222401757826902342741FRFrance
18620202825175811371521447272133FRFrance
1872020272510817795713677161220FRFrance
1882020262571264846940611814FRFrance
1892020252570534747935911715FRFrance
190202024255269349370458511FRFrance
1912020232567684615892110713FRFrance
19220202225874861921130413917FRFrance
19320202125146511135317949221727FRFrance
19420202025284162387532957433650FRFrance
19520201925273472288031814423549FRFrance
19620201825346182949939737534561FRFrance
19720201725459034003251774706179FRFrance
198202016256096954118678209383103FRFrance
199202015259536486665104063145132158FRFrance
20020201425213772201334226210325306344FRFrance
20120201325297819283636312002452430474FRFrance
20220201225273062259400286724415394436FRFrance
\n", + "

203 rows × 10 columns

\n", + "
" + ], + "text/plain": [ + " week indicator inc inc_low inc_up inc100 inc100_low \\\n", + "0 202405 25 330337 312319 348355 495 468 \n", + "1 202404 25 314616 299073 330159 472 449 \n", + "2 202403 25 260433 246176 274690 390 369 \n", + "3 202402 25 223175 209907 236443 335 315 \n", + "4 202401 25 207680 192579 222781 311 288 \n", + "5 202352 25 204801 189186 220416 308 285 \n", + "6 202351 25 281235 264279 298191 423 397 \n", + "7 202350 25 281168 265632 296704 423 400 \n", + "8 202349 25 286802 271137 302467 431 407 \n", + "9 202348 25 247301 232152 262450 372 349 \n", + "10 202347 25 224971 210414 239528 338 316 \n", + "11 202346 25 170563 157940 183186 257 238 \n", + "12 202345 25 150125 137230 163020 226 207 \n", + "13 202344 25 108608 98016 119200 163 147 \n", + "14 202343 25 105159 94706 115612 158 142 \n", + "15 202342 25 123120 111942 134298 185 168 \n", + "16 202341 25 126477 115697 137257 190 174 \n", + "17 202340 25 145262 132323 158201 219 200 \n", + "18 202339 25 156932 144286 169578 236 217 \n", + "19 202338 25 140770 128842 152698 212 194 \n", + "20 202337 25 109440 98918 119962 165 149 \n", + "21 202336 25 90802 81444 100160 137 123 \n", + "22 202335 25 75353 66521 84185 113 100 \n", + "23 202334 25 62298 53692 70904 94 81 \n", + "24 202333 25 51315 41862 60768 77 63 \n", + "25 202332 25 44411 36803 52019 67 56 \n", + "26 202331 25 45046 37089 53003 68 56 \n", + "27 202330 25 43645 35319 51971 66 53 \n", + "28 202329 25 36079 28820 43338 54 43 \n", + "29 202328 25 32466 25871 39061 49 39 \n", + ".. ... ... ... ... ... ... ... \n", + "173 202041 25 81954 73921 89987 124 112 \n", + "174 202040 25 67761 60310 75212 103 92 \n", + "175 202039 25 68999 61350 76648 105 93 \n", + "176 202038 25 88638 80122 97154 135 122 \n", + "177 202037 25 56454 49776 63132 86 76 \n", + "178 202036 25 24149 19991 28307 37 31 \n", + "179 202035 25 19831 15528 24134 30 23 \n", + "180 202034 25 11690 7876 15504 18 12 \n", + "181 202033 25 10848 7145 14551 16 10 \n", + "182 202032 25 11409 7422 15396 17 11 \n", + "183 202031 25 13366 9412 17320 20 14 \n", + "184 202030 25 21428 16609 26247 33 26 \n", + "185 202029 25 22240 17578 26902 34 27 \n", + "186 202028 25 17581 13715 21447 27 21 \n", + "187 202027 25 10817 7957 13677 16 12 \n", + "188 202026 25 7126 4846 9406 11 8 \n", + "189 202025 25 7053 4747 9359 11 7 \n", + "190 202024 25 5269 3493 7045 8 5 \n", + "191 202023 25 6768 4615 8921 10 7 \n", + "192 202022 25 8748 6192 11304 13 9 \n", + "193 202021 25 14651 11353 17949 22 17 \n", + "194 202020 25 28416 23875 32957 43 36 \n", + "195 202019 25 27347 22880 31814 42 35 \n", + "196 202018 25 34618 29499 39737 53 45 \n", + "197 202017 25 45903 40032 51774 70 61 \n", + "198 202016 25 60969 54118 67820 93 83 \n", + "199 202015 25 95364 86665 104063 145 132 \n", + "200 202014 25 213772 201334 226210 325 306 \n", + "201 202013 25 297819 283636 312002 452 430 \n", + "202 202012 25 273062 259400 286724 415 394 \n", + "\n", + " inc100_up geo_insee geo_name \n", + "0 522 FR France \n", + "1 495 FR France \n", + "2 411 FR France \n", + "3 355 FR France \n", + "4 334 FR France \n", + "5 331 FR France \n", + "6 449 FR France \n", + "7 446 FR France \n", + "8 455 FR France \n", + "9 395 FR France \n", + "10 360 FR France \n", + "11 276 FR France \n", + "12 245 FR France \n", + "13 179 FR France \n", + "14 174 FR France \n", + "15 202 FR France \n", + "16 206 FR France \n", + "17 238 FR France \n", + "18 255 FR France \n", + "19 230 FR France \n", + "20 181 FR France \n", + "21 151 FR France \n", + "22 126 FR France \n", + "23 107 FR France \n", + "24 91 FR France \n", + "25 78 FR France \n", + "26 80 FR France \n", + "27 79 FR France \n", + "28 65 FR France \n", + "29 59 FR France \n", + ".. ... ... ... \n", + "173 136 FR France \n", + "174 114 FR France \n", + "175 117 FR France \n", + "176 148 FR France \n", + "177 96 FR France \n", + "178 43 FR France \n", + "179 37 FR France \n", + "180 24 FR France \n", + "181 22 FR France \n", + "182 23 FR France \n", + "183 26 FR France \n", + "184 40 FR France \n", + "185 41 FR France \n", + "186 33 FR France \n", + "187 20 FR France \n", + "188 14 FR France \n", + "189 15 FR France \n", + "190 11 FR France \n", + "191 13 FR France \n", + "192 17 FR France \n", + "193 27 FR France \n", + "194 50 FR France \n", + "195 49 FR France \n", + "196 61 FR France \n", + "197 79 FR France \n", + "198 103 FR France \n", + "199 158 FR France \n", + "200 344 FR France \n", + "201 474 FR France \n", + "202 436 FR France \n", + "\n", + "[203 rows x 10 columns]" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "data = raw_data.dropna().copy()\n", "data" @@ -122,7 +2124,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -152,10 +2154,8 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, + "execution_count": 7, + "metadata": {}, "outputs": [], "source": [ "sorted_data = data.set_index('period').sort_index()" @@ -179,7 +2179,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ @@ -199,9 +2199,32 @@ }, { "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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "sorted_data['inc'][-200:].plot()" ] @@ -252,10 +2298,8 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, + "execution_count": 13, + "metadata": {}, "outputs": [], "source": [ "first_august_week = [pd.Period(pd.Timestamp(y, 8, 1), 'W')\n", @@ -274,9 +2318,21 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "AssertionError", + "evalue": "", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mAssertionError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 4\u001b[0m first_august_week[1:]):\n\u001b[1;32m 5\u001b[0m \u001b[0mone_year\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msorted_data\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'inc'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mweek1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mweek2\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 6\u001b[0;31m \u001b[0;32massert\u001b[0m \u001b[0mabs\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mone_year\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m52\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m<\u001b[0m \u001b[0;36m2\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 7\u001b[0m \u001b[0myearly_incidence\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mone_year\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msum\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 8\u001b[0m \u001b[0myear\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mweek2\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0myear\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mAssertionError\u001b[0m: " + ] + } + ], "source": [ "year = []\n", "yearly_incidence = []\n", @@ -364,7 +2420,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.1" + "version": "3.6.4" } }, "nbformat": 4, diff --git a/module3/exo1/incidence-PAY-25.csv b/module3/exo1/incidence-PAY-25.csv new file mode 100644 index 0000000..e5611c8 --- /dev/null +++ b/module3/exo1/incidence-PAY-25.csv @@ -0,0 +1,205 @@ +# @source="réseau Sentinelles, INSERM, Sorbonne Université, https://www.sentiweb.fr", @meta={"period":[202012,202405],"geo":["PAY",1],"geo_ref":"insee","indicator":"25","type":"all","conf_int":true,"compact":false,"age_group":false}, @date=2024-02-07T16:56:02+01:00, bundle=1707321343 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