From 897b513319fa4f70d78273c4d7588d7744872f81 Mon Sep 17 00:00:00 2001 From: Valerie COGNAT Date: Wed, 15 Jul 2020 14:35:21 +0200 Subject: [PATCH] add lines to download csv from url --- .../toy_notebook_fr-checkpoint.ipynb | 160 +++ module3/exo1/analyse-syndrome-grippal.ipynb | 1265 ++++++++++++++++- 2 files changed, 1389 insertions(+), 36 deletions(-) create mode 100644 module2/exo1/.ipynb_checkpoints/toy_notebook_fr-checkpoint.ipynb diff --git a/module2/exo1/.ipynb_checkpoints/toy_notebook_fr-checkpoint.ipynb b/module2/exo1/.ipynb_checkpoints/toy_notebook_fr-checkpoint.ipynb new file mode 100644 index 0000000..65ac4ed --- /dev/null +++ b/module2/exo1/.ipynb_checkpoints/toy_notebook_fr-checkpoint.ipynb @@ -0,0 +1,160 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# A propos du calcul de $\\pi$\n", + "\n", + "## En demandant à la lib **maths**\n", + "Mon ordinateur m'indique que $\\pi$ vaut *approximativement* " + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3.141592653589793\n" + ] + } + ], + "source": [ + "from math import *\n", + "print (pi)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## En utilisant la méthode des aiguilles de Buffon\n", + "Mais calculé avec la **méthode** des [aiguilles de Buffon](https://fr.wikipedia.org/wiki/Aiguille_de_Buffon), on obtiendrait comme **approximation** :" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "3.128911138923655" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import numpy as np\n", + "np.random.seed(seed=42)\n", + "N = 10000\n", + "x = np.random.uniform(size=N, low=0, high=1)\n", + "theta = np.random.uniform(size=N, low=0, high=pi/2)\n", + "2/(sum((x+np.sin(theta))>1)/N)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Avec un argument \"fréquentiel\" de surface\n", + "Sinon, une méthode plus simple à comprendre et ne faisant pas intervenir d’appel à la fonction\n", + "sinus se base sur le fait que si $X \\sim U(0, 1)$ et $Y \\sim U(0, 1)$ alors $P[X^2 + Y^2 \\le 1] = \\pi/4$ (voir [méthode de Monte Carlo sur Wikipedia](https://fr.wikipedia.org/wiki/M%C3%A9thode_de_Monte-Carlo#D%C3%A9termination_de_la_valeur_de_%CF%80)). Le code suivant illustre ce fait :" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "%matplotlib inline\n", + "import matplotlib.pyplot as plt\n", + "np.random.seed(seed=42)\n", + "N = 1000\n", + "x = np.random.uniform(size=N, low=0, high=1)\n", + "y = np.random.uniform(size=N, low=0, high=1)\n", + "\n", + "accept = (x*x+y*y) <= 1\n", + "reject = np.logical_not(accept)\n", + "\n", + "fig, ax = plt.subplots(1)\n", + "ax.scatter(x[accept], y[accept], c='b', alpha=0.2, edgecolor=None)\n", + "ax.scatter(x[reject], y[reject], c='r', alpha=0.2, edgecolor=None)\n", + "ax.set_aspect('equal')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Il est alors aisé d’obtenir une approximation (pas terrible) de $\\pi$ en comptant combien de fois,\n", + "en moyenne, $X^2 +Y^2$ est inférieur à 1 :" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "3.112" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "4*np.mean(accept)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.3" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/module3/exo1/analyse-syndrome-grippal.ipynb b/module3/exo1/analyse-syndrome-grippal.ipynb index 59d72b5..028525d 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": 2, "metadata": {}, "outputs": [], "source": [ @@ -28,10 +28,8 @@ }, { "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\"" @@ -59,13 +57,38 @@ "La première ligne du fichier CSV est un commentaire, que nous ignorons en précisant `skiprows=1`." ] }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Fichier existant\n" + ] + } + ], + "source": [ + "# Si le fichier csv n'existe pas dans le repertoire local je l'importe de l'url:\n", + "import urllib.request\n", + "import os\n", + "data_file = \"incidence-PAY-3.csv\"\n", + "if os.path.isfile(data_file):\n", + " print(\"Fichier existant\")\n", + "else:\n", + " print(\"Telechargement du fichier\")\n", + " urllib.request.urlretrieve(data_url, data_file)" + ] + }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ - "raw_data = pd.read_csv(data_url, skiprows=1)\n", + "raw_data = pd.read_csv(data_file, skiprows=1)\n", "raw_data" ] }, @@ -78,9 +101,73 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "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
160919891930NaNNaN0NaNNaNFRFrance
\n", + "
" + ], + "text/plain": [ + " week indicator inc inc_low inc_up inc100 inc100_low inc100_up \\\n", + "1609 198919 3 0 NaN NaN 0 NaN NaN \n", + "\n", + " geo_insee geo_name \n", + "1609 FR France " + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "raw_data[raw_data.isnull().any(axis=1)]" ] @@ -94,9 +181,976 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "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
0202011310170493652.0109756.0154142.0166.0FRFrance
1202010310497796650.0113304.0159146.0172.0FRFrance
22020093110696102066.0119326.0168155.0181.0FRFrance
32020083143753133984.0153522.0218203.0233.0FRFrance
42020073183610172812.0194408.0279263.0295.0FRFrance
52020063206669195481.0217857.0314297.0331.0FRFrance
62020053187957177445.0198469.0285269.0301.0FRFrance
72020043122331113492.0131170.0186173.0199.0FRFrance
820200337841371330.085496.0119108.0130.0FRFrance
920200235361447654.059574.08172.090.0FRFrance
1020200133685031608.042092.05648.064.0FRFrance
1120195232813523220.033050.04336.050.0FRFrance
1220195132978625042.034530.04538.052.0FRFrance
1320195033422329156.039290.05244.060.0FRFrance
1420194932566221414.029910.03933.045.0FRFrance
1520194832236718055.026679.03427.041.0FRFrance
1620194731866914759.022579.02822.034.0FRFrance
1720194631603012567.019493.02419.029.0FRFrance
182019453101387160.013116.01510.020.0FRFrance
19201944378225010.010634.0128.016.0FRFrance
20201943394876448.012526.0149.019.0FRFrance
21201942377475243.010251.0128.016.0FRFrance
22201941371224720.09524.0117.015.0FRFrance
23201940385055784.011226.0139.017.0FRFrance
24201939370914462.09720.0117.015.0FRFrance
25201938348972891.06903.074.010.0FRFrance
26201937331721367.04977.052.08.0FRFrance
2720193632295728.03862.031.05.0FRFrance
28201935310102.02018.020.04.0FRFrance
2920193431672279.03065.031.05.0FRFrance
.................................
181619852132609619621.032571.04735.059.0FRFrance
181719852032789620885.034907.05138.064.0FRFrance
181819851934315432821.053487.07859.097.0FRFrance
181919851834055529935.051175.07455.093.0FRFrance
182019851733405324366.043740.06244.080.0FRFrance
182119851635036236451.064273.09166.0116.0FRFrance
182219851536388145538.082224.011683.0149.0FRFrance
18231985143134545114400.0154690.0244207.0281.0FRFrance
18241985133197206176080.0218332.0357319.0395.0FRFrance
18251985123245240223304.0267176.0445405.0485.0FRFrance
18261985113276205252399.0300011.0501458.0544.0FRFrance
18271985103353231326279.0380183.0640591.0689.0FRFrance
18281985093369895341109.0398681.0670618.0722.0FRFrance
18291985083389886359529.0420243.0707652.0762.0FRFrance
18301985073471852432599.0511105.0855784.0926.0FRFrance
18311985063565825518011.0613639.01026939.01113.0FRFrance
18321985053637302592795.0681809.011551074.01236.0FRFrance
18331985043424937390794.0459080.0770708.0832.0FRFrance
18341985033213901174689.0253113.0388317.0459.0FRFrance
183519850239758680949.0114223.0177147.0207.0FRFrance
183619850138548965918.0105060.0155120.0190.0FRFrance
183719845238483060602.0109058.0154110.0198.0FRFrance
1838198451310172680242.0123210.0185146.0224.0FRFrance
18391984503123680101401.0145959.0225184.0266.0FRFrance
1840198449310107381684.0120462.0184149.0219.0FRFrance
184119844837862060634.096606.0143110.0176.0FRFrance
184219844737202954274.089784.013199.0163.0FRFrance
184319844638733067686.0106974.0159123.0195.0FRFrance
18441984453135223101414.0169032.0246184.0308.0FRFrance
184519844436842220056.0116788.012537.0213.0FRFrance
\n", + "

1845 rows × 10 columns

\n", + "
" + ], + "text/plain": [ + " week indicator inc inc_low inc_up inc100 inc100_low \\\n", + "0 202011 3 101704 93652.0 109756.0 154 142.0 \n", + "1 202010 3 104977 96650.0 113304.0 159 146.0 \n", + "2 202009 3 110696 102066.0 119326.0 168 155.0 \n", + "3 202008 3 143753 133984.0 153522.0 218 203.0 \n", + "4 202007 3 183610 172812.0 194408.0 279 263.0 \n", + "5 202006 3 206669 195481.0 217857.0 314 297.0 \n", + "6 202005 3 187957 177445.0 198469.0 285 269.0 \n", + "7 202004 3 122331 113492.0 131170.0 186 173.0 \n", + "8 202003 3 78413 71330.0 85496.0 119 108.0 \n", + "9 202002 3 53614 47654.0 59574.0 81 72.0 \n", + "10 202001 3 36850 31608.0 42092.0 56 48.0 \n", + "11 201952 3 28135 23220.0 33050.0 43 36.0 \n", + "12 201951 3 29786 25042.0 34530.0 45 38.0 \n", + "13 201950 3 34223 29156.0 39290.0 52 44.0 \n", + "14 201949 3 25662 21414.0 29910.0 39 33.0 \n", + "15 201948 3 22367 18055.0 26679.0 34 27.0 \n", + "16 201947 3 18669 14759.0 22579.0 28 22.0 \n", + "17 201946 3 16030 12567.0 19493.0 24 19.0 \n", + "18 201945 3 10138 7160.0 13116.0 15 10.0 \n", + "19 201944 3 7822 5010.0 10634.0 12 8.0 \n", + "20 201943 3 9487 6448.0 12526.0 14 9.0 \n", + "21 201942 3 7747 5243.0 10251.0 12 8.0 \n", + "22 201941 3 7122 4720.0 9524.0 11 7.0 \n", + "23 201940 3 8505 5784.0 11226.0 13 9.0 \n", + "24 201939 3 7091 4462.0 9720.0 11 7.0 \n", + "25 201938 3 4897 2891.0 6903.0 7 4.0 \n", + "26 201937 3 3172 1367.0 4977.0 5 2.0 \n", + "27 201936 3 2295 728.0 3862.0 3 1.0 \n", + "28 201935 3 1010 2.0 2018.0 2 0.0 \n", + "29 201934 3 1672 279.0 3065.0 3 1.0 \n", + "... ... ... ... ... ... ... ... \n", + "1816 198521 3 26096 19621.0 32571.0 47 35.0 \n", + "1817 198520 3 27896 20885.0 34907.0 51 38.0 \n", + "1818 198519 3 43154 32821.0 53487.0 78 59.0 \n", + "1819 198518 3 40555 29935.0 51175.0 74 55.0 \n", + "1820 198517 3 34053 24366.0 43740.0 62 44.0 \n", + "1821 198516 3 50362 36451.0 64273.0 91 66.0 \n", + "1822 198515 3 63881 45538.0 82224.0 116 83.0 \n", + "1823 198514 3 134545 114400.0 154690.0 244 207.0 \n", + "1824 198513 3 197206 176080.0 218332.0 357 319.0 \n", + "1825 198512 3 245240 223304.0 267176.0 445 405.0 \n", + "1826 198511 3 276205 252399.0 300011.0 501 458.0 \n", + "1827 198510 3 353231 326279.0 380183.0 640 591.0 \n", + "1828 198509 3 369895 341109.0 398681.0 670 618.0 \n", + "1829 198508 3 389886 359529.0 420243.0 707 652.0 \n", + "1830 198507 3 471852 432599.0 511105.0 855 784.0 \n", + "1831 198506 3 565825 518011.0 613639.0 1026 939.0 \n", + "1832 198505 3 637302 592795.0 681809.0 1155 1074.0 \n", + "1833 198504 3 424937 390794.0 459080.0 770 708.0 \n", + "1834 198503 3 213901 174689.0 253113.0 388 317.0 \n", + "1835 198502 3 97586 80949.0 114223.0 177 147.0 \n", + "1836 198501 3 85489 65918.0 105060.0 155 120.0 \n", + "1837 198452 3 84830 60602.0 109058.0 154 110.0 \n", + "1838 198451 3 101726 80242.0 123210.0 185 146.0 \n", + "1839 198450 3 123680 101401.0 145959.0 225 184.0 \n", + "1840 198449 3 101073 81684.0 120462.0 184 149.0 \n", + "1841 198448 3 78620 60634.0 96606.0 143 110.0 \n", + "1842 198447 3 72029 54274.0 89784.0 131 99.0 \n", + "1843 198446 3 87330 67686.0 106974.0 159 123.0 \n", + "1844 198445 3 135223 101414.0 169032.0 246 184.0 \n", + "1845 198444 3 68422 20056.0 116788.0 125 37.0 \n", + "\n", + " inc100_up geo_insee geo_name \n", + "0 166.0 FR France \n", + "1 172.0 FR France \n", + "2 181.0 FR France \n", + "3 233.0 FR France \n", + "4 295.0 FR France \n", + "5 331.0 FR France \n", + "6 301.0 FR France \n", + "7 199.0 FR France \n", + "8 130.0 FR France \n", + "9 90.0 FR France \n", + "10 64.0 FR France \n", + "11 50.0 FR France \n", + "12 52.0 FR France \n", + "13 60.0 FR France \n", + "14 45.0 FR France \n", + "15 41.0 FR France \n", + "16 34.0 FR France \n", + "17 29.0 FR France \n", + "18 20.0 FR France \n", + "19 16.0 FR France \n", + "20 19.0 FR France \n", + "21 16.0 FR France \n", + "22 15.0 FR France \n", + "23 17.0 FR France \n", + "24 15.0 FR France \n", + "25 10.0 FR France \n", + "26 8.0 FR France \n", + "27 5.0 FR France \n", + "28 4.0 FR France \n", + "29 5.0 FR France \n", + "... ... ... ... \n", + "1816 59.0 FR France \n", + "1817 64.0 FR France \n", + "1818 97.0 FR France \n", + "1819 93.0 FR France \n", + "1820 80.0 FR France \n", + "1821 116.0 FR France \n", + "1822 149.0 FR France \n", + "1823 281.0 FR France \n", + "1824 395.0 FR France \n", + "1825 485.0 FR France \n", + "1826 544.0 FR France \n", + "1827 689.0 FR France \n", + "1828 722.0 FR France \n", + "1829 762.0 FR France \n", + "1830 926.0 FR France \n", + "1831 1113.0 FR France \n", + "1832 1236.0 FR France \n", + "1833 832.0 FR France \n", + "1834 459.0 FR France \n", + "1835 207.0 FR France \n", + "1836 190.0 FR France \n", + "1837 198.0 FR France \n", + "1838 224.0 FR France \n", + "1839 266.0 FR France \n", + "1840 219.0 FR France \n", + "1841 176.0 FR France \n", + "1842 163.0 FR France \n", + "1843 195.0 FR France \n", + "1844 308.0 FR France \n", + "1845 213.0 FR France \n", + "\n", + "[1845 rows x 10 columns]" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "data = raw_data.dropna().copy()\n", "data" @@ -122,7 +1176,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ @@ -152,10 +1206,8 @@ }, { "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 +1231,17 @@ }, { "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 +1259,32 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 11, + "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 +1298,32 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 12, + "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 +1358,8 @@ }, { "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", @@ -274,7 +1378,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, "metadata": {}, "outputs": [], "source": [ @@ -298,9 +1402,32 @@ }, { "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.plot(style='*')" ] @@ -314,9 +1441,54 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 16, "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": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "yearly_incidence.sort_values()" ] @@ -331,9 +1503,32 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 17, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 17, + "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 +1536,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": true - }, + "metadata": {}, "outputs": [], "source": [] } @@ -364,7 +1557,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.1" + "version": "3.6.4" } }, "nbformat": 4, -- 2.18.1