From 0bfb72f5356370417d70e63bf1ba3918aea86199 Mon Sep 17 00:00:00 2001 From: 7a95d5cd23fe5b30abaa93f47a1c5f63 <7a95d5cd23fe5b30abaa93f47a1c5f63@app-learninglab.inria.fr> Date: Sun, 12 Jan 2025 11:33:46 +0000 Subject: [PATCH] Update analyse-syndrome-grippal.ipynb --- module3/exo1/analyse-syndrome-grippal.ipynb | 2086 ++++++++++++++++++- 1 file changed, 2062 insertions(+), 24 deletions(-) diff --git a/module3/exo1/analyse-syndrome-grippal.ipynb b/module3/exo1/analyse-syndrome-grippal.ipynb index 59d72b5..76f9fd0 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 +28,13 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, + "execution_count": 3, + "metadata": {}, "outputs": [], "source": [ - "data_url = \"http://www.sentiweb.fr/datasets/incidence-PAY-3.csv\"" + "#data_url = \"http://www.sentiweb.fr/datasets/incidence-PAY-3.csv\"\n", + "\n", + "data_local = pd.read_csv('incidence-PAY-3.csv') \n" ] }, { @@ -61,9 +61,976 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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.................................
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2097 rows × 10 columns

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"24 69.0 FR France \n", + "25 94.0 FR France \n", + "26 82.0 FR France \n", + "27 77.0 FR France \n", + "28 81.0 FR France \n", + "29 72.0 FR France \n", + "... ... ... ... \n", + "2067 59.0 FR France \n", + "2068 64.0 FR France \n", + "2069 97.0 FR France \n", + "2070 93.0 FR France \n", + "2071 80.0 FR France \n", + "2072 116.0 FR France \n", + "2073 149.0 FR France \n", + "2074 281.0 FR France \n", + "2075 395.0 FR France \n", + "2076 485.0 FR France \n", + "2077 544.0 FR France \n", + "2078 689.0 FR France \n", + "2079 722.0 FR France \n", + "2080 762.0 FR France \n", + "2081 926.0 FR France \n", + "2082 1113.0 FR France \n", + "2083 1236.0 FR France \n", + "2084 832.0 FR France \n", + "2085 459.0 FR France \n", + "2086 207.0 FR France \n", + "2087 190.0 FR France \n", + "2088 198.0 FR France \n", + "2089 224.0 FR France \n", + "2090 266.0 FR France \n", + "2091 219.0 FR France \n", + "2092 176.0 FR France \n", + "2093 163.0 FR France \n", + "2094 195.0 FR France \n", + "2095 308.0 FR France \n", + "2096 213.0 FR France \n", + "\n", + "[2097 rows x 10 columns]" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "raw_data = pd.read_csv(data_url, skiprows=1)\n", "raw_data" @@ -78,9 +1045,73 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
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520244838738178687.096075.0131118.0144.0FRFrance
620244737628667626.084946.0114101.0127.0FRFrance
720244635639949006.063792.08574.096.0FRFrance
820244534734740843.053851.07161.081.0FRFrance
920244433603930122.041956.05445.063.0FRFrance
1020244334657239928.053216.07060.080.0FRFrance
1120244236778560009.075561.010290.0114.0FRFrance
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1620243735646049319.063601.08574.096.0FRFrance
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1920243432671721003.032431.04031.049.0FRFrance
2020243332062315349.025897.03123.039.0FRFrance
2120243232318717532.028842.03527.043.0FRFrance
2220243132603520267.031803.03930.048.0FRFrance
2320243033639328593.044193.05543.067.0FRFrance
2420242933956032592.046528.05949.069.0FRFrance
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2096 rows × 10 columns

\n", + "
" + ], + "text/plain": [ + " week indicator inc inc_low inc_up inc100 inc100_low \\\n", + "0 202501 3 235434 216797.0 254071.0 353 325.0 \n", + "1 202452 3 201904 185977.0 217831.0 303 279.0 \n", + "2 202451 3 201697 187843.0 215551.0 302 281.0 \n", + "3 202450 3 136694 126369.0 147019.0 205 190.0 \n", + "4 202449 3 108487 99037.0 117937.0 163 149.0 \n", + "5 202448 3 87381 78687.0 96075.0 131 118.0 \n", + "6 202447 3 76286 67626.0 84946.0 114 101.0 \n", + "7 202446 3 56399 49006.0 63792.0 85 74.0 \n", + "8 202445 3 47347 40843.0 53851.0 71 61.0 \n", + "9 202444 3 36039 30122.0 41956.0 54 45.0 \n", + "10 202443 3 46572 39928.0 53216.0 70 60.0 \n", + "11 202442 3 67785 60009.0 75561.0 102 90.0 \n", + "12 202441 3 79435 71386.0 87484.0 119 107.0 \n", + "13 202440 3 84965 76555.0 93375.0 127 114.0 \n", + "14 202439 3 91660 82937.0 100383.0 137 124.0 \n", + "15 202438 3 91786 82903.0 100669.0 138 125.0 \n", + "16 202437 3 56460 49319.0 63601.0 85 74.0 \n", + "17 202436 3 33657 27906.0 39408.0 50 41.0 \n", + "18 202435 3 27404 22036.0 32772.0 41 33.0 \n", + "19 202434 3 26717 21003.0 32431.0 40 31.0 \n", + "20 202433 3 20623 15349.0 25897.0 31 23.0 \n", + "21 202432 3 23187 17532.0 28842.0 35 27.0 \n", + "22 202431 3 26035 20267.0 31803.0 39 30.0 \n", + "23 202430 3 36393 28593.0 44193.0 55 43.0 \n", + "24 202429 3 39560 32592.0 46528.0 59 49.0 \n", + "25 202428 3 54342 45781.0 62903.0 81 68.0 \n", + "26 202427 3 47364 40234.0 54494.0 71 60.0 \n", + "27 202426 3 44219 36956.0 51482.0 66 55.0 \n", + "28 202425 3 47204 40300.0 54108.0 71 61.0 \n", + "29 202424 3 41110 34671.0 47549.0 62 52.0 \n", + "... ... ... ... ... ... ... ... \n", + "2067 198521 3 26096 19621.0 32571.0 47 35.0 \n", + "2068 198520 3 27896 20885.0 34907.0 51 38.0 \n", + "2069 198519 3 43154 32821.0 53487.0 78 59.0 \n", + "2070 198518 3 40555 29935.0 51175.0 74 55.0 \n", + "2071 198517 3 34053 24366.0 43740.0 62 44.0 \n", + "2072 198516 3 50362 36451.0 64273.0 91 66.0 \n", + "2073 198515 3 63881 45538.0 82224.0 116 83.0 \n", + "2074 198514 3 134545 114400.0 154690.0 244 207.0 \n", + "2075 198513 3 197206 176080.0 218332.0 357 319.0 \n", + "2076 198512 3 245240 223304.0 267176.0 445 405.0 \n", + "2077 198511 3 276205 252399.0 300011.0 501 458.0 \n", + "2078 198510 3 353231 326279.0 380183.0 640 591.0 \n", + "2079 198509 3 369895 341109.0 398681.0 670 618.0 \n", + "2080 198508 3 389886 359529.0 420243.0 707 652.0 \n", + "2081 198507 3 471852 432599.0 511105.0 855 784.0 \n", + "2082 198506 3 565825 518011.0 613639.0 1026 939.0 \n", + "2083 198505 3 637302 592795.0 681809.0 1155 1074.0 \n", + "2084 198504 3 424937 390794.0 459080.0 770 708.0 \n", + "2085 198503 3 213901 174689.0 253113.0 388 317.0 \n", + "2086 198502 3 97586 80949.0 114223.0 177 147.0 \n", + "2087 198501 3 85489 65918.0 105060.0 155 120.0 \n", + "2088 198452 3 84830 60602.0 109058.0 154 110.0 \n", + "2089 198451 3 101726 80242.0 123210.0 185 146.0 \n", + "2090 198450 3 123680 101401.0 145959.0 225 184.0 \n", + "2091 198449 3 101073 81684.0 120462.0 184 149.0 \n", + "2092 198448 3 78620 60634.0 96606.0 143 110.0 \n", + "2093 198447 3 72029 54274.0 89784.0 131 99.0 \n", + "2094 198446 3 87330 67686.0 106974.0 159 123.0 \n", + "2095 198445 3 135223 101414.0 169032.0 246 184.0 \n", + "2096 198444 3 68422 20056.0 116788.0 125 37.0 \n", + "\n", + " inc100_up geo_insee geo_name \n", + "0 381.0 FR France \n", + "1 327.0 FR France \n", + "2 323.0 FR France \n", + "3 220.0 FR France \n", + "4 177.0 FR France \n", + "5 144.0 FR France \n", + "6 127.0 FR France \n", + "7 96.0 FR France \n", + "8 81.0 FR France \n", + "9 63.0 FR France \n", + "10 80.0 FR France \n", + "11 114.0 FR France \n", + "12 131.0 FR France \n", + "13 140.0 FR France \n", + "14 150.0 FR France \n", + "15 151.0 FR France \n", + "16 96.0 FR France \n", + "17 59.0 FR France \n", + "18 49.0 FR France \n", + "19 49.0 FR France \n", + "20 39.0 FR France \n", + "21 43.0 FR France \n", + "22 48.0 FR France \n", + "23 67.0 FR France \n", + "24 69.0 FR France \n", + "25 94.0 FR France \n", + "26 82.0 FR France \n", + "27 77.0 FR France \n", + "28 81.0 FR France \n", + "29 72.0 FR France \n", + "... ... ... ... \n", + "2067 59.0 FR France \n", + "2068 64.0 FR France \n", + "2069 97.0 FR France \n", + "2070 93.0 FR France \n", + "2071 80.0 FR France \n", + "2072 116.0 FR France \n", + "2073 149.0 FR France \n", + "2074 281.0 FR France \n", + "2075 395.0 FR France \n", + "2076 485.0 FR France \n", + "2077 544.0 FR France \n", + "2078 689.0 FR France \n", + "2079 722.0 FR France \n", + "2080 762.0 FR France \n", + "2081 926.0 FR France \n", + "2082 1113.0 FR France \n", + "2083 1236.0 FR France \n", + "2084 832.0 FR France \n", + "2085 459.0 FR France \n", + "2086 207.0 FR France \n", + "2087 190.0 FR France \n", + "2088 198.0 FR France \n", + "2089 224.0 FR France \n", + "2090 266.0 FR France \n", + "2091 219.0 FR France \n", + "2092 176.0 FR France \n", + "2093 163.0 FR France \n", + "2094 195.0 FR France \n", + "2095 308.0 FR France \n", + "2096 213.0 FR France \n", + "\n", + "[2096 rows x 10 columns]" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "data = raw_data.dropna().copy()\n", "data" @@ -122,7 +2120,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ @@ -152,10 +2150,8 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, + "execution_count": 9, + "metadata": {}, "outputs": [], "source": [ "sorted_data = data.set_index('period').sort_index()" @@ -179,9 +2175,17 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "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 +2203,26 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "TypeError", + "evalue": "Empty 'DataFrame': no numeric data to plot", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \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[0mplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/pandas/plotting/_core.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, kind, ax, figsize, use_index, title, grid, legend, style, logx, logy, loglog, xticks, yticks, xlim, ylim, rot, fontsize, colormap, table, yerr, xerr, label, secondary_y, **kwds)\u001b[0m\n\u001b[1;32m 2501\u001b[0m \u001b[0mcolormap\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcolormap\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtable\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtable\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0myerr\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0myerr\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2502\u001b[0m \u001b[0mxerr\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mxerr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlabel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlabel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msecondary_y\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msecondary_y\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2503\u001b[0;31m **kwds)\n\u001b[0m\u001b[1;32m 2504\u001b[0m \u001b[0m__call__\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__doc__\u001b[0m \u001b[0;34m=\u001b[0m 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1927\u001b[0;31m **kwds)\n\u001b[0m\u001b[1;32m 1928\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1929\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/pandas/plotting/_core.py\u001b[0m in \u001b[0;36m_plot\u001b[0;34m(data, x, y, subplots, ax, kind, **kwds)\u001b[0m\n\u001b[1;32m 1727\u001b[0m \u001b[0mplot_obj\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mklass\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msubplots\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msubplots\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0max\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0max\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkind\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mkind\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1728\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1729\u001b[0;31m 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364\u001b[0m raise TypeError('Empty {0!r}: no numeric data to '\n\u001b[0;32m--> 365\u001b[0;31m 'plot'.format(numeric_data.__class__.__name__))\n\u001b[0m\u001b[1;32m 366\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 367\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnumeric_data\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mTypeError\u001b[0m: Empty 'DataFrame': no numeric data to plot" + ] + } + ], "source": [ "sorted_data['inc'].plot()" ] @@ -215,9 +2236,26 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "TypeError", + "evalue": "Empty 'DataFrame': no numeric data to plot", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \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[0;34m-\u001b[0m\u001b[0;36m200\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/pandas/plotting/_core.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, kind, ax, figsize, use_index, title, grid, legend, style, logx, logy, loglog, xticks, yticks, xlim, ylim, rot, fontsize, colormap, table, yerr, xerr, label, secondary_y, **kwds)\u001b[0m\n\u001b[1;32m 2501\u001b[0m \u001b[0mcolormap\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcolormap\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtable\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtable\u001b[0m\u001b[0;34m,\u001b[0m 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