From 6bdf3f5199f068120654c606073d5d809bce92af Mon Sep 17 00:00:00 2001 From: 8e53d7fafab76bc5fa0dd3b634def1c2 <8e53d7fafab76bc5fa0dd3b634def1c2@app-learninglab.inria.fr> Date: Mon, 6 Jun 2022 08:15:15 +0000 Subject: [PATCH] no commit message --- module2/exo2/exercice.ipynb | 114 +- module2/exo3/exercice.ipynb | 72 +- .../influenza-like-illness-analysis.ipynb | 2230 ++++++++++++++++- 3 files changed, 2364 insertions(+), 52 deletions(-) diff --git a/module2/exo2/exercice.ipynb b/module2/exo2/exercice.ipynb index 0bbbe37..0b03a15 100644 --- a/module2/exo2/exercice.ipynb +++ b/module2/exo2/exercice.ipynb @@ -1,5 +1,114 @@ { - "cells": [], + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "\n", + "x = np.array([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" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "4.334094455301447\n" + ] + } + ], + "source": [ + "st = np.std(x, ddof=1)\n", + "print(st)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "14.5\n" + ] + } + ], + "source": [ + "med = np.median(x)\n", + "print(med)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "23.4\n" + ] + } + ], + "source": [ + "maxim = max(x)\n", + "print(maxim)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2.8\n" + ] + } + ], + "source": [ + "minim = min(x)\n", + "print(minim)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "14.113000000000001\n" + ] + } + ], + "source": [ + "aver = np.average(x)\n", + "print(aver)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], "metadata": { "kernelspec": { "display_name": "Python 3", @@ -16,10 +125,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.3" + "version": "3.6.4" } }, "nbformat": 4, "nbformat_minor": 2 } - diff --git a/module2/exo3/exercice.ipynb b/module2/exo3/exercice.ipynb index 0bbbe37..522e35f 100644 --- a/module2/exo3/exercice.ipynb +++ b/module2/exo3/exercice.ipynb @@ -1,5 +1,72 @@ { - "cells": [], + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt\n", + "\n", + "x = [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" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
020222131753812255.022821.02618.034.0FRFrance
120222032041316271.024555.03125.037.0FRFrance
220221931787414068.021680.02721.033.0FRFrance
320221833035325089.035617.04638.054.0FRFrance
420221733600630373.041639.05446.062.0FRFrance
520221634994942836.057062.07564.086.0FRFrance
6202215310080690824.0110788.0152137.0167.0FRFrance
72022143155441143891.0166991.0234217.0251.0FRFrance
82022133191914179558.0204270.0289270.0308.0FRFrance
92022123166224155035.0177413.0251234.0268.0FRFrance
102022113122849113306.0132392.0185171.0199.0FRFrance
1120221038790479741.096067.0133121.0145.0FRFrance
1220220935018243958.056406.07667.085.0FRFrance
1320220833096325942.035984.04739.055.0FRFrance
1420220733488229446.040318.05345.061.0FRFrance
1520220634662340398.052848.07061.079.0FRFrance
1620220536297056043.069897.09585.0105.0FRFrance
1720220437220964804.079614.010998.0120.0FRFrance
1820220337461367144.082082.0113102.0124.0FRFrance
1920220235592049511.062329.08474.094.0FRFrance
2020220135762950699.064559.08777.097.0FRFrance
2120215235434947029.061669.08271.093.0FRFrance
2220215134169835359.048037.06353.073.0FRFrance
2320215033811732497.043737.05849.067.0FRFrance
2420214934016834716.045620.06153.069.0FRFrance
2520214834184236364.047320.06355.071.0FRFrance
2620214733659831338.041858.05547.063.0FRFrance
2720214633005925302.034816.04639.053.0FRFrance
2820214532036416564.024164.03125.037.0FRFrance
2920214431899915042.022956.02923.035.0FRFrance
.................................
193119852132609619621.032571.04735.059.0FRFrance
193219852032789620885.034907.05138.064.0FRFrance
193319851934315432821.053487.07859.097.0FRFrance
193419851834055529935.051175.07455.093.0FRFrance
193519851733405324366.043740.06244.080.0FRFrance
193619851635036236451.064273.09166.0116.0FRFrance
193719851536388145538.082224.011683.0149.0FRFrance
19381985143134545114400.0154690.0244207.0281.0FRFrance
19391985133197206176080.0218332.0357319.0395.0FRFrance
19401985123245240223304.0267176.0445405.0485.0FRFrance
19411985113276205252399.0300011.0501458.0544.0FRFrance
19421985103353231326279.0380183.0640591.0689.0FRFrance
19431985093369895341109.0398681.0670618.0722.0FRFrance
19441985083389886359529.0420243.0707652.0762.0FRFrance
19451985073471852432599.0511105.0855784.0926.0FRFrance
19461985063565825518011.0613639.01026939.01113.0FRFrance
19471985053637302592795.0681809.011551074.01236.0FRFrance
19481985043424937390794.0459080.0770708.0832.0FRFrance
19491985033213901174689.0253113.0388317.0459.0FRFrance
195019850239758680949.0114223.0177147.0207.0FRFrance
195119850138548965918.0105060.0155120.0190.0FRFrance
195219845238483060602.0109058.0154110.0198.0FRFrance
1953198451310172680242.0123210.0185146.0224.0FRFrance
19541984503123680101401.0145959.0225184.0266.0FRFrance
1955198449310107381684.0120462.0184149.0219.0FRFrance
195619844837862060634.096606.0143110.0176.0FRFrance
195719844737202954274.089784.013199.0163.0FRFrance
195819844638733067686.0106974.0159123.0195.0FRFrance
19591984453135223101414.0169032.0246184.0308.0FRFrance
196019844436842220056.0116788.012537.0213.0FRFrance
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1961 rows × 10 columns

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" + ], + "text/plain": [ + " week indicator inc inc_low inc_up inc100 inc100_low \\\n", + "0 202221 3 17538 12255.0 22821.0 26 18.0 \n", + "1 202220 3 20413 16271.0 24555.0 31 25.0 \n", + "2 202219 3 17874 14068.0 21680.0 27 21.0 \n", + "3 202218 3 30353 25089.0 35617.0 46 38.0 \n", + "4 202217 3 36006 30373.0 41639.0 54 46.0 \n", + "5 202216 3 49949 42836.0 57062.0 75 64.0 \n", + "6 202215 3 100806 90824.0 110788.0 152 137.0 \n", + "7 202214 3 155441 143891.0 166991.0 234 217.0 \n", + "8 202213 3 191914 179558.0 204270.0 289 270.0 \n", + "9 202212 3 166224 155035.0 177413.0 251 234.0 \n", + "10 202211 3 122849 113306.0 132392.0 185 171.0 \n", + "11 202210 3 87904 79741.0 96067.0 133 121.0 \n", + "12 202209 3 50182 43958.0 56406.0 76 67.0 \n", + "13 202208 3 30963 25942.0 35984.0 47 39.0 \n", + "14 202207 3 34882 29446.0 40318.0 53 45.0 \n", + "15 202206 3 46623 40398.0 52848.0 70 61.0 \n", + "16 202205 3 62970 56043.0 69897.0 95 85.0 \n", + "17 202204 3 72209 64804.0 79614.0 109 98.0 \n", + "18 202203 3 74613 67144.0 82082.0 113 102.0 \n", + "19 202202 3 55920 49511.0 62329.0 84 74.0 \n", + "20 202201 3 57629 50699.0 64559.0 87 77.0 \n", + "21 202152 3 54349 47029.0 61669.0 82 71.0 \n", + "22 202151 3 41698 35359.0 48037.0 63 53.0 \n", + "23 202150 3 38117 32497.0 43737.0 58 49.0 \n", + "24 202149 3 40168 34716.0 45620.0 61 53.0 \n", + "25 202148 3 41842 36364.0 47320.0 63 55.0 \n", + "26 202147 3 36598 31338.0 41858.0 55 47.0 \n", + "27 202146 3 30059 25302.0 34816.0 46 39.0 \n", + "28 202145 3 20364 16564.0 24164.0 31 25.0 \n", + "29 202144 3 18999 15042.0 22956.0 29 23.0 \n", + "... ... ... ... ... ... ... ... \n", + "1931 198521 3 26096 19621.0 32571.0 47 35.0 \n", + "1932 198520 3 27896 20885.0 34907.0 51 38.0 \n", + "1933 198519 3 43154 32821.0 53487.0 78 59.0 \n", + "1934 198518 3 40555 29935.0 51175.0 74 55.0 \n", + "1935 198517 3 34053 24366.0 43740.0 62 44.0 \n", + "1936 198516 3 50362 36451.0 64273.0 91 66.0 \n", + "1937 198515 3 63881 45538.0 82224.0 116 83.0 \n", + "1938 198514 3 134545 114400.0 154690.0 244 207.0 \n", + "1939 198513 3 197206 176080.0 218332.0 357 319.0 \n", + "1940 198512 3 245240 223304.0 267176.0 445 405.0 \n", + "1941 198511 3 276205 252399.0 300011.0 501 458.0 \n", + "1942 198510 3 353231 326279.0 380183.0 640 591.0 \n", + "1943 198509 3 369895 341109.0 398681.0 670 618.0 \n", + "1944 198508 3 389886 359529.0 420243.0 707 652.0 \n", + "1945 198507 3 471852 432599.0 511105.0 855 784.0 \n", + "1946 198506 3 565825 518011.0 613639.0 1026 939.0 \n", + "1947 198505 3 637302 592795.0 681809.0 1155 1074.0 \n", + "1948 198504 3 424937 390794.0 459080.0 770 708.0 \n", + "1949 198503 3 213901 174689.0 253113.0 388 317.0 \n", + "1950 198502 3 97586 80949.0 114223.0 177 147.0 \n", + "1951 198501 3 85489 65918.0 105060.0 155 120.0 \n", + "1952 198452 3 84830 60602.0 109058.0 154 110.0 \n", + "1953 198451 3 101726 80242.0 123210.0 185 146.0 \n", + "1954 198450 3 123680 101401.0 145959.0 225 184.0 \n", + "1955 198449 3 101073 81684.0 120462.0 184 149.0 \n", + "1956 198448 3 78620 60634.0 96606.0 143 110.0 \n", + "1957 198447 3 72029 54274.0 89784.0 131 99.0 \n", + "1958 198446 3 87330 67686.0 106974.0 159 123.0 \n", + "1959 198445 3 135223 101414.0 169032.0 246 184.0 \n", + "1960 198444 3 68422 20056.0 116788.0 125 37.0 \n", + "\n", + " inc100_up geo_insee geo_name \n", + "0 34.0 FR France \n", + "1 37.0 FR France \n", + "2 33.0 FR France \n", + "3 54.0 FR France \n", + "4 62.0 FR France \n", + "5 86.0 FR France \n", + "6 167.0 FR France \n", + "7 251.0 FR France \n", + "8 308.0 FR France \n", + "9 268.0 FR France \n", + "10 199.0 FR France \n", + "11 145.0 FR France \n", + "12 85.0 FR France \n", + "13 55.0 FR France \n", + "14 61.0 FR France \n", + "15 79.0 FR France \n", + "16 105.0 FR France \n", + "17 120.0 FR France \n", + "18 124.0 FR France \n", + "19 94.0 FR France \n", + "20 97.0 FR France \n", + "21 93.0 FR France \n", + "22 73.0 FR France \n", + "23 67.0 FR France \n", + "24 69.0 FR France \n", + "25 71.0 FR France \n", + "26 63.0 FR France \n", + "27 53.0 FR France \n", + "28 37.0 FR France \n", + "29 35.0 FR France \n", + "... ... ... ... \n", + "1931 59.0 FR France \n", + "1932 64.0 FR France \n", + "1933 97.0 FR France \n", + "1934 93.0 FR France \n", + "1935 80.0 FR France \n", + "1936 116.0 FR France \n", + "1937 149.0 FR France \n", + "1938 281.0 FR France \n", + "1939 395.0 FR France \n", + "1940 485.0 FR France \n", + "1941 544.0 FR France \n", + "1942 689.0 FR France \n", + "1943 722.0 FR France \n", + "1944 762.0 FR France \n", + "1945 926.0 FR France \n", + "1946 1113.0 FR France \n", + "1947 1236.0 FR France \n", + "1948 832.0 FR France \n", + "1949 459.0 FR France \n", + "1950 207.0 FR France \n", + "1951 190.0 FR France \n", + "1952 198.0 FR France \n", + "1953 224.0 FR France \n", + "1954 266.0 FR France \n", + "1955 219.0 FR France \n", + "1956 176.0 FR France \n", + "1957 163.0 FR France \n", + "1958 195.0 FR France \n", + "1959 308.0 FR France \n", + "1960 213.0 FR France \n", + "\n", + "[1961 rows x 10 columns]" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "raw_data = pd.read_csv(data_url, skiprows=1)\n", "raw_data" @@ -80,9 +1043,73 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
020222131753812255.022821.02618.034.0FRFrance
120222032041316271.024555.03125.037.0FRFrance
220221931787414068.021680.02721.033.0FRFrance
320221833035325089.035617.04638.054.0FRFrance
420221733600630373.041639.05446.062.0FRFrance
520221634994942836.057062.07564.086.0FRFrance
6202215310080690824.0110788.0152137.0167.0FRFrance
72022143155441143891.0166991.0234217.0251.0FRFrance
82022133191914179558.0204270.0289270.0308.0FRFrance
92022123166224155035.0177413.0251234.0268.0FRFrance
102022113122849113306.0132392.0185171.0199.0FRFrance
1120221038790479741.096067.0133121.0145.0FRFrance
1220220935018243958.056406.07667.085.0FRFrance
1320220833096325942.035984.04739.055.0FRFrance
1420220733488229446.040318.05345.061.0FRFrance
1520220634662340398.052848.07061.079.0FRFrance
1620220536297056043.069897.09585.0105.0FRFrance
1720220437220964804.079614.010998.0120.0FRFrance
1820220337461367144.082082.0113102.0124.0FRFrance
1920220235592049511.062329.08474.094.0FRFrance
2020220135762950699.064559.08777.097.0FRFrance
2120215235434947029.061669.08271.093.0FRFrance
2220215134169835359.048037.06353.073.0FRFrance
2320215033811732497.043737.05849.067.0FRFrance
2420214934016834716.045620.06153.069.0FRFrance
2520214834184236364.047320.06355.071.0FRFrance
2620214733659831338.041858.05547.063.0FRFrance
2720214633005925302.034816.04639.053.0FRFrance
2820214532036416564.024164.03125.037.0FRFrance
2920214431899915042.022956.02923.035.0FRFrance
.................................
193119852132609619621.032571.04735.059.0FRFrance
193219852032789620885.034907.05138.064.0FRFrance
193319851934315432821.053487.07859.097.0FRFrance
193419851834055529935.051175.07455.093.0FRFrance
193519851733405324366.043740.06244.080.0FRFrance
193619851635036236451.064273.09166.0116.0FRFrance
193719851536388145538.082224.011683.0149.0FRFrance
19381985143134545114400.0154690.0244207.0281.0FRFrance
19391985133197206176080.0218332.0357319.0395.0FRFrance
19401985123245240223304.0267176.0445405.0485.0FRFrance
19411985113276205252399.0300011.0501458.0544.0FRFrance
19421985103353231326279.0380183.0640591.0689.0FRFrance
19431985093369895341109.0398681.0670618.0722.0FRFrance
19441985083389886359529.0420243.0707652.0762.0FRFrance
19451985073471852432599.0511105.0855784.0926.0FRFrance
19461985063565825518011.0613639.01026939.01113.0FRFrance
19471985053637302592795.0681809.011551074.01236.0FRFrance
19481985043424937390794.0459080.0770708.0832.0FRFrance
19491985033213901174689.0253113.0388317.0459.0FRFrance
195019850239758680949.0114223.0177147.0207.0FRFrance
195119850138548965918.0105060.0155120.0190.0FRFrance
195219845238483060602.0109058.0154110.0198.0FRFrance
1953198451310172680242.0123210.0185146.0224.0FRFrance
19541984503123680101401.0145959.0225184.0266.0FRFrance
1955198449310107381684.0120462.0184149.0219.0FRFrance
195619844837862060634.096606.0143110.0176.0FRFrance
195719844737202954274.089784.013199.0163.0FRFrance
195819844638733067686.0106974.0159123.0195.0FRFrance
19591984453135223101414.0169032.0246184.0308.0FRFrance
196019844436842220056.0116788.012537.0213.0FRFrance
\n", + "

1960 rows × 10 columns

\n", + "
" + ], + "text/plain": [ + " week indicator inc inc_low inc_up inc100 inc100_low \\\n", + "0 202221 3 17538 12255.0 22821.0 26 18.0 \n", + "1 202220 3 20413 16271.0 24555.0 31 25.0 \n", + "2 202219 3 17874 14068.0 21680.0 27 21.0 \n", + "3 202218 3 30353 25089.0 35617.0 46 38.0 \n", + "4 202217 3 36006 30373.0 41639.0 54 46.0 \n", + "5 202216 3 49949 42836.0 57062.0 75 64.0 \n", + "6 202215 3 100806 90824.0 110788.0 152 137.0 \n", + "7 202214 3 155441 143891.0 166991.0 234 217.0 \n", + "8 202213 3 191914 179558.0 204270.0 289 270.0 \n", + "9 202212 3 166224 155035.0 177413.0 251 234.0 \n", + "10 202211 3 122849 113306.0 132392.0 185 171.0 \n", + "11 202210 3 87904 79741.0 96067.0 133 121.0 \n", + "12 202209 3 50182 43958.0 56406.0 76 67.0 \n", + "13 202208 3 30963 25942.0 35984.0 47 39.0 \n", + "14 202207 3 34882 29446.0 40318.0 53 45.0 \n", + "15 202206 3 46623 40398.0 52848.0 70 61.0 \n", + "16 202205 3 62970 56043.0 69897.0 95 85.0 \n", + "17 202204 3 72209 64804.0 79614.0 109 98.0 \n", + "18 202203 3 74613 67144.0 82082.0 113 102.0 \n", + "19 202202 3 55920 49511.0 62329.0 84 74.0 \n", + "20 202201 3 57629 50699.0 64559.0 87 77.0 \n", + "21 202152 3 54349 47029.0 61669.0 82 71.0 \n", + "22 202151 3 41698 35359.0 48037.0 63 53.0 \n", + "23 202150 3 38117 32497.0 43737.0 58 49.0 \n", + "24 202149 3 40168 34716.0 45620.0 61 53.0 \n", + "25 202148 3 41842 36364.0 47320.0 63 55.0 \n", + "26 202147 3 36598 31338.0 41858.0 55 47.0 \n", + "27 202146 3 30059 25302.0 34816.0 46 39.0 \n", + "28 202145 3 20364 16564.0 24164.0 31 25.0 \n", + "29 202144 3 18999 15042.0 22956.0 29 23.0 \n", + "... ... ... ... ... ... ... ... \n", + "1931 198521 3 26096 19621.0 32571.0 47 35.0 \n", + "1932 198520 3 27896 20885.0 34907.0 51 38.0 \n", + "1933 198519 3 43154 32821.0 53487.0 78 59.0 \n", + "1934 198518 3 40555 29935.0 51175.0 74 55.0 \n", + "1935 198517 3 34053 24366.0 43740.0 62 44.0 \n", + "1936 198516 3 50362 36451.0 64273.0 91 66.0 \n", + "1937 198515 3 63881 45538.0 82224.0 116 83.0 \n", + "1938 198514 3 134545 114400.0 154690.0 244 207.0 \n", + "1939 198513 3 197206 176080.0 218332.0 357 319.0 \n", + "1940 198512 3 245240 223304.0 267176.0 445 405.0 \n", + "1941 198511 3 276205 252399.0 300011.0 501 458.0 \n", + "1942 198510 3 353231 326279.0 380183.0 640 591.0 \n", + "1943 198509 3 369895 341109.0 398681.0 670 618.0 \n", + "1944 198508 3 389886 359529.0 420243.0 707 652.0 \n", + "1945 198507 3 471852 432599.0 511105.0 855 784.0 \n", + "1946 198506 3 565825 518011.0 613639.0 1026 939.0 \n", + "1947 198505 3 637302 592795.0 681809.0 1155 1074.0 \n", + "1948 198504 3 424937 390794.0 459080.0 770 708.0 \n", + "1949 198503 3 213901 174689.0 253113.0 388 317.0 \n", + "1950 198502 3 97586 80949.0 114223.0 177 147.0 \n", + "1951 198501 3 85489 65918.0 105060.0 155 120.0 \n", + "1952 198452 3 84830 60602.0 109058.0 154 110.0 \n", + "1953 198451 3 101726 80242.0 123210.0 185 146.0 \n", + "1954 198450 3 123680 101401.0 145959.0 225 184.0 \n", + "1955 198449 3 101073 81684.0 120462.0 184 149.0 \n", + "1956 198448 3 78620 60634.0 96606.0 143 110.0 \n", + "1957 198447 3 72029 54274.0 89784.0 131 99.0 \n", + "1958 198446 3 87330 67686.0 106974.0 159 123.0 \n", + "1959 198445 3 135223 101414.0 169032.0 246 184.0 \n", + "1960 198444 3 68422 20056.0 116788.0 125 37.0 \n", + "\n", + " inc100_up geo_insee geo_name \n", + "0 34.0 FR France \n", + "1 37.0 FR France \n", + "2 33.0 FR France \n", + "3 54.0 FR France \n", + "4 62.0 FR France \n", + "5 86.0 FR France \n", + "6 167.0 FR France \n", + "7 251.0 FR France \n", + "8 308.0 FR France \n", + "9 268.0 FR France \n", + "10 199.0 FR France \n", + "11 145.0 FR France \n", + "12 85.0 FR France \n", + "13 55.0 FR France \n", + "14 61.0 FR France \n", + "15 79.0 FR France \n", + "16 105.0 FR France \n", + "17 120.0 FR France \n", + "18 124.0 FR France \n", + "19 94.0 FR France \n", + "20 97.0 FR France \n", + "21 93.0 FR France \n", + "22 73.0 FR France \n", + "23 67.0 FR France \n", + "24 69.0 FR France \n", + "25 71.0 FR France \n", + "26 63.0 FR France \n", + "27 53.0 FR France \n", + "28 37.0 FR France \n", + "29 35.0 FR France \n", + "... ... ... ... \n", + "1931 59.0 FR France \n", + "1932 64.0 FR France \n", + "1933 97.0 FR France \n", + "1934 93.0 FR France \n", + "1935 80.0 FR France \n", + "1936 116.0 FR France \n", + "1937 149.0 FR France \n", + "1938 281.0 FR France \n", + "1939 395.0 FR France \n", + "1940 485.0 FR France \n", + "1941 544.0 FR France \n", + "1942 689.0 FR France \n", + "1943 722.0 FR France \n", + "1944 762.0 FR France \n", + "1945 926.0 FR France \n", + "1946 1113.0 FR France \n", + "1947 1236.0 FR France \n", + "1948 832.0 FR France \n", + "1949 459.0 FR France \n", + "1950 207.0 FR France \n", + "1951 190.0 FR France \n", + "1952 198.0 FR France \n", + "1953 224.0 FR France \n", + "1954 266.0 FR France \n", + "1955 219.0 FR France \n", + "1956 176.0 FR France \n", + "1957 163.0 FR France \n", + "1958 195.0 FR France \n", + "1959 308.0 FR France \n", + "1960 213.0 FR France \n", + "\n", + "[1960 rows x 10 columns]" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "data = raw_data.dropna().copy()\n", "data" @@ -123,10 +2117,8 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, + "execution_count": 7, + "metadata": {}, "outputs": [], "source": [ "def convert_week(year_and_week_int):\n", @@ -154,10 +2146,8 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, + "execution_count": 8, + "metadata": {}, "outputs": [], "source": [ "sorted_data = data.set_index('period').sort_index()" @@ -180,9 +2170,17 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "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", @@ -200,9 +2198,32 @@ }, { "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", 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\n", 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\n", 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5115251\n", + "1990 5235827\n", + "1989 5466192\n", + "dtype: int64" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "yearly_incidence.sort_values()" ] @@ -332,9 +2442,32 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 16, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
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