diff --git a/module2/exo1/toy_notebook_fr.ipynb b/module2/exo1/toy_notebook_fr.ipynb index eb108e1a36d89055f8abc57c4afe1ca7655c9555..99747196a431e85e94b788da9733595b83ab3ac8 100644 --- a/module2/exo1/toy_notebook_fr.ipynb +++ b/module2/exo1/toy_notebook_fr.ipynb @@ -4,7 +4,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# Premier test jupyter" + "# À propos du calcul de $\\pi$" ] }, { @@ -24,6 +24,136 @@ "import os\n", "print('hello world')" ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## En demandant à la lib maths\n", + "Mon ordinateur m'indique que $\\pi$ vaut *approximativement*" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "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__ :\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "3.128911138923655" + ] + }, + "execution_count": 3, + "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 sinus se base sur le fait que si $X\\sim U(0,1)$ et $Y\\sim U(0,1)$ alors $P[X^2+Y^2\\leq 1] = \\pi/4$ (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": 8, + "metadata": {}, + "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", + "\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, en moyenne, $X^2 + Y^2$ est inférieur à 1 :" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "3.112" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "4*np.mean(accept)" + ] } ], "metadata": { diff --git a/module2/exo2/exercice.ipynb b/module2/exo2/exercice.ipynb index 0bbbe371b01e359e381e43239412d77bf53fb1fb..6916051ab0e69eefcc8a50aa239e8bdc559921ef 100644 --- a/module2/exo2/exercice.ipynb +++ b/module2/exo2/exercice.ipynb @@ -1,5 +1,52 @@ { - "cells": [], + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Calculer la moyenne et l'écart-type, le min, la médiane et le max des données suivantes :" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "moyenne : 14.113000000000001\n", + "écart-type : 4.334094455301447\n", + "min : 2.8\n", + "médiane : 14.5\n", + "max : 23.4\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "\n", + "s = [14.0, 7.6, 11.2, 12.8, 12.5, 9.9, 14.9, 9.4, 16.9, 10.2,\n", + " 14.9, 18.1, 7.3, 9.8, 10.9,12.2, 9.9, 2.9, 2.8, 15.4, \n", + " 15.7, 9.7, 13.1, 13.2, 12.3, 11.7, 16.0, 12.4, 17.9, 12.2,\n", + " 16.2, 18.7, 8.9, 11.9, 12.1, 14.6, 12.1, 4.7, 3.9, 16.9,\n", + " 16.8, 11.3, 14.4, 15.7, 14.0, 13.6, 18.0, 13.6, 19.9, 13.7,\n", + " 17.0, 20.5, 9.9, 12.5, 13.2, 16.1, 13.5, 6.3, 6.4, 17.6,\n", + " 19.1, 12.8, 15.5, 16.3, 15.2, 14.6, 19.1, 14.4, 21.4, 15.1,\n", + " 19.6, 21.7, 11.3, 15.0, 14.3, 16.8, 14.0, 6.8, 8.2, 19.9,\n", + " 20.4, 14.6, 16.4, 18.7, 16.8, 15.8, 20.4, 15.8, 22.4, 16.2,\n", + " 20.3, 23.4, 12.1, 15.5, 15.4, 18.4, 15.7, 10.2, 8.9, 21.0]\n", + "\n", + "print ('moyenne :', np.mean(s))\n", + "print ('écart-type :', np.std(s,ddof = 1))\n", + "print ('min :', np.min(s))\n", + "print ('médiane :', np.median(s))\n", + "print('max :', np.max(s))" + ] + } + ], "metadata": { "kernelspec": { "display_name": "Python 3", @@ -16,10 +63,9 @@ "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 0bbbe371b01e359e381e43239412d77bf53fb1fb..e7e40066fbf3595eb06dc673b2116734968dc5a2 100644 --- a/module2/exo3/exercice.ipynb +++ b/module2/exo3/exercice.ipynb @@ -1,5 +1,95 @@ { - "cells": [], + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Réaliser un affichage graphique\n", + "Réaliser un affichage graphique (séquence plot + histogramme) des données de l'exercice précédent. Voir les images attendues ci-dessous :\n" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + " %matplotlib inline\n", + "import matplotlib.pyplot as plt\n", + "import pandas as pd\n", + "import numpy as np\n", + "\n", + "\n", + "s = [14.0, 7.6, 11.2, 12.8, 12.5, 9.9, 14.9, 9.4, 16.9, 10.2,\n", + " 14.9, 18.1, 7.3, 9.8, 10.9,12.2, 9.9, 2.9, 2.8, 15.4, \n", + " 15.7, 9.7, 13.1, 13.2, 12.3, 11.7, 16.0, 12.4, 17.9, 12.2,\n", + " 16.2, 18.7, 8.9, 11.9, 12.1, 14.6, 12.1, 4.7, 3.9, 16.9,\n", + " 16.8, 11.3, 14.4, 15.7, 14.0, 13.6, 18.0, 13.6, 19.9, 13.7,\n", + " 17.0, 20.5, 9.9, 12.5, 13.2, 16.1, 13.5, 6.3, 6.4, 17.6,\n", + " 19.1, 12.8, 15.5, 16.3, 15.2, 14.6, 19.1, 14.4, 21.4, 15.1,\n", + " 19.6, 21.7, 11.3, 15.0, 14.3, 16.8, 14.0, 6.8, 8.2, 19.9,\n", + " 20.4, 14.6, 16.4, 18.7, 16.8, 15.8, 20.4, 15.8, 22.4, 16.2,\n", + " 20.3, 23.4, 12.1, 15.5, 15.4, 18.4, 15.7, 10.2, 8.9, 21.0]\n", + "\n", + "#plt.style.use('_mpl-gallery')\n", + "# plot:\n", + "fig, ax = plt.subplots()\n", + "ax.grid(True)\n", + "ax.axis([0, 100, 0, 25])\n", + "ax.plot(s)\n", + "plt.show()\n", + "\n", + "fig2, ax2 = plt.subplots()\n", + "ax2.grid(True)\n", + "n, bins, patches = ax2.hist(s, 10, facecolor='C0', alpha=0.75)\n", + "ax2.axis([0, 25, 0, 25])\n", + "\n", + "plt.show()\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# préparation du document computationnel" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.DataFrame(data=s)\n", + "df.to_csv('./exo4_donnes_brutes.csv', index = False)\n" + ] + } + ], "metadata": { "kernelspec": { "display_name": "Python 3", @@ -16,10 +106,9 @@ "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/exo4_donnes_brutes.csv b/module2/exo3/exo4_donnes_brutes.csv new file mode 100644 index 0000000000000000000000000000000000000000..6523ad44b49a13a0f28d41da17651d403732ec95 --- /dev/null +++ b/module2/exo3/exo4_donnes_brutes.csv @@ -0,0 +1,101 @@ +0 +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 diff --git a/module2/exo4/exercice.ipynb b/module2/exo4/exercice.ipynb index 0bbbe371b01e359e381e43239412d77bf53fb1fb..f030720db7dd539391b0f7e34d64b7ac680caae1 100644 --- a/module2/exo4/exercice.ipynb +++ b/module2/exo4/exercice.ipynb @@ -1,6 +1,207 @@ { - "cells": [], + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "hideCode": true, + "hidePrompt": true + }, + "source": [ + "# Journal sur les exercices de documents computationnel\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "hideCode": true, + "hidePrompt": true + }, + "source": [ + "\n", + "Lecture des données et affichage" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "hideCode": true, + "hidePrompt": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": { + "hideCode": true, + "hidePrompt": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + " 0\n", + "0 0.0\n", + "1 14.0\n", + "2 7.6\n", + "3 11.2\n", + "4 12.8\n", + "5 12.5\n", + "6 9.9\n", + "7 14.9\n", + "8 9.4\n", + "9 16.9\n", + "10 10.2\n", + "11 14.9\n", + "12 18.1\n", + "13 7.3\n", + "14 9.8\n", + "15 10.9\n", + "16 12.2\n", + "17 9.9\n", + "18 2.9\n", + "19 2.8\n", + "20 15.4\n", + "21 15.7\n", + "22 9.7\n", + "23 13.1\n", + "24 13.2\n", + "25 12.3\n", + "26 11.7\n", + "27 16.0\n", + "28 12.4\n", + "29 17.9\n", + ".. ...\n", + "71 19.6\n", + "72 21.7\n", + "73 11.3\n", + "74 15.0\n", + "75 14.3\n", + "76 16.8\n", + "77 14.0\n", + "78 6.8\n", + "79 8.2\n", + "80 19.9\n", + "81 20.4\n", + "82 14.6\n", + "83 16.4\n", + "84 18.7\n", + "85 16.8\n", + "86 15.8\n", + "87 20.4\n", + "88 15.8\n", + "89 22.4\n", + "90 16.2\n", + "91 20.3\n", + "92 23.4\n", + "93 12.1\n", + "94 15.5\n", + "95 15.4\n", + "96 18.4\n", + "97 15.7\n", + "98 10.2\n", + "99 8.9\n", + "100 21.0\n", + "\n", + "[101 rows x 1 columns]\n" + ] + } + ], + "source": [ + "%matplotlib inline\n", + "import matplotlib.pyplot as plt\n", + "import pandas as pd\n", + "import numpy as np\n", + "\n", + "df = pd.read_csv ('../exo3/exo4_donnes_brutes.csv',index_col=None, header=None)\n", + "\n", + "print (type(df))\n", + "print (df)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Premier graphique\n" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots()\n", + "ax.grid(True)\n", + "ax.axis([0, 100, 0, 25])\n", + "ax.plot(df)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "second graphique" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig2, ax2 = plt.subplots()\n", + "ax2.grid(True)\n", + "n, bins, patches = ax2.hist(np.array(df), 10, facecolor='C0')\n", + "ax2.axis([0, 25, 0, 25])\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Le second graphique a imposer de changer le type de données passé à la fonction historique via np.array . L'import des données se faisant via pandas ne fonctionnant pas avec cette fonction, bien que fonctionnant avec plot." + ] + } + ], "metadata": { + "hide_code_all_hidden": true, "kernelspec": { "display_name": "Python 3", "language": "python", @@ -16,10 +217,9 @@ "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/exo4/exo4_donnees.csv b/module2/exo4/exo4_donnees.csv new file mode 100644 index 0000000000000000000000000000000000000000..9c20b8b963cee5ff4be760b0dd3d68e29d680692 --- /dev/null +++ b/module2/exo4/exo4_donnees.csv @@ -0,0 +1,30 @@ +Valeur +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 \ No newline at end of file diff --git a/module2/exo5/exo5_fr.ipynb b/module2/exo5/exo5_fr.ipynb index 26ad6d94fa840f788a57621b06dc6af83a848391..d1b8680ef29b6d9c533cafdee431dc1e601ed659 100644 --- a/module2/exo5/exo5_fr.ipynb +++ b/module2/exo5/exo5_fr.ipynb @@ -1,5 +1,12 @@ { "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -261,30 +268,30 @@ "" ], "text/plain": [ - " Date Count Temperature Pressure Malfunction\n", - "0 4/12/81 6 66 50 0\n", - "1 11/12/81 6 70 50 1\n", - "2 3/22/82 6 69 50 0\n", - "3 11/11/82 6 68 50 0\n", - "4 4/04/83 6 67 50 0\n", - "5 6/18/82 6 72 50 0\n", - "6 8/30/83 6 73 100 0\n", - "7 11/28/83 6 70 100 0\n", - "8 2/03/84 6 57 200 1\n", - "9 4/06/84 6 63 200 1\n", - "10 8/30/84 6 70 200 1\n", - "11 10/05/84 6 78 200 0\n", - "12 11/08/84 6 67 200 0\n", - "13 1/24/85 6 53 200 2\n", - "14 4/12/85 6 67 200 0\n", - "15 4/29/85 6 75 200 0\n", - "16 6/17/85 6 70 200 0\n", - "17 7/29/85 6 81 200 0\n", - "18 8/27/85 6 76 200 0\n", - "19 10/03/85 6 79 200 0\n", - "20 10/30/85 6 75 200 2\n", - "21 11/26/85 6 76 200 0\n", - "22 1/12/86 6 58 200 1" + " Date Count Temperature Pressure Malfunction\n", + "0 4/12/81 6 66 50 0\n", + "1 11/12/81 6 70 50 1\n", + "2 3/22/82 6 69 50 0\n", + "3 11/11/82 6 68 50 0\n", + "4 4/04/83 6 67 50 0\n", + "5 6/18/82 6 72 50 0\n", + "6 8/30/83 6 73 100 0\n", + "7 11/28/83 6 70 100 0\n", + "8 2/03/84 6 57 200 1\n", + "9 4/06/84 6 63 200 1\n", + "10 8/30/84 6 70 200 1\n", + "11 10/05/84 6 78 200 0\n", + "12 11/08/84 6 67 200 0\n", + "13 1/24/85 6 53 200 2\n", + "14 4/12/85 6 67 200 0\n", + "15 4/29/85 6 75 200 0\n", + "16 6/17/85 6 70 200 0\n", + "17 7/29/85 6 81 200 0\n", + "18 8/27/85 6 76 200 0\n", + "19 10/03/85 6 79 200 0\n", + "20 10/30/85 6 75 200 2\n", + "21 11/26/85 6 76 200 0\n", + "22 1/12/86 6 58 200 1" ] }, "execution_count": 1, @@ -317,12 +324,14 @@ "Les vols où aucun incident n'est relevé n'apportant aucun information\n", "sur l'influence de la température ou de la pression sur les\n", "dysfonctionnements, nous nous concentrons sur les expériences où au\n", - "moins un joint a été défectueux.\n" + "moins un joint a été défectueux.\n", + "\n", + "* secon test avec uniquement les tempéraures <65" ] }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 8, "metadata": {}, "outputs": [ { @@ -355,14 +364,6 @@ " \n", " \n", " \n", - " 1\n", - " 11/12/81\n", - " 6\n", - " 70\n", - " 50\n", - " 1\n", - " \n", - " \n", " 8\n", " 2/03/84\n", " 6\n", @@ -379,14 +380,6 @@ " 1\n", " \n", " \n", - " 10\n", - " 8/30/84\n", - " 6\n", - " 70\n", - " 200\n", - " 1\n", - " \n", - " \n", " 13\n", " 1/24/85\n", " 6\n", @@ -395,14 +388,6 @@ " 2\n", " \n", " \n", - " 20\n", - " 10/30/85\n", - " 6\n", - " 75\n", - " 200\n", - " 2\n", - " \n", - " \n", " 22\n", " 1/12/86\n", " 6\n", @@ -415,24 +400,22 @@ "" ], "text/plain": [ - " Date Count Temperature Pressure Malfunction\n", - "1 11/12/81 6 70 50 1\n", - "8 2/03/84 6 57 200 1\n", - "9 4/06/84 6 63 200 1\n", - "10 8/30/84 6 70 200 1\n", - "13 1/24/85 6 53 200 2\n", - "20 10/30/85 6 75 200 2\n", - "22 1/12/86 6 58 200 1" + " Date Count Temperature Pressure Malfunction\n", + "8 2/03/84 6 57 200 1\n", + "9 4/06/84 6 63 200 1\n", + "13 1/24/85 6 53 200 2\n", + "22 1/12/86 6 58 200 1" ] }, - "execution_count": 2, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "data = data[data.Malfunction>0]\n", - "data" + "#data = data[data.Malfunction>0] data.Temperature <= 65\n", + "data2 = data[data.Temperature <= 65]\n", + "data2" ] }, { @@ -448,12 +431,12 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 9, "metadata": {}, "outputs": [ { "data": { - "image/png": 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+ "image/png": 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LUJAktQwFSVLLUJAktQwFSVLLUJAktQwFSVLLUJAktQwFSVLLUJAktQwFSVLLUJAktQwFSVLLUJAktQwFSVLLUJAktQwFSVLLUJAktQwFSVLLUJAktQwFSVLLUJAktQwFSVLLUJAktQwFSVLLUJAktQwFSVLLUJAktToNhSRnJbkzyY4kl06zPUne12zfnuT0LuuRJM2us1BIsgz4AHA2cDLw2iQnT2l2NrC2+dkI/FFX9UiSDq7LM4X1wI6quruq9gJXAudOaXMu8LHquRE4JsmTO6xJkjSL5R3uezWwc9LyGHBmH21WA9+a3CjJRnpnEgDjSe6c31IXxPHAfYMuYoHZ5+G31PoLi7fPP9pPoy5DIdOsq0fRhqraDGyej6IGJcnNVbVu0HUsJPs8/JZaf2H4+9zl8NEYcMKk5TXArkfRRpK0QLoMhW3A2iQnJjkMOB+4dkqba4Gfb+5Cei7w3ar61tQdSZIWRmfDR1W1P8nFwHXAMuCKqrojyUXN9k3AFuBlwA7gh8CFXdVzCFjUw1+Pkn0efkutvzDkfU7VI4bwJUlLlN9oliS1DAVJUstQ6ECSbyS5LcmtSW6esu1XklSS4wdVXxdm6nOSNzdTndyR5LJB1jjfputzktOS3HhgXZL1g65zPiU5Jsknk3w1yVeS/MckP5Jka5KvNX8eO+g659MMfX53s7w9yaeSHDPoOueL1xQ6kOQbwLqqum/K+hOAy4FnAs+Zun0xm67PSV4I/Drw01W1J8kTq+reQdU432bo8/XAH1TVZ5K8DHhrVW0YUInzLslHgb+rqsubuwqPBN4GfLuqfreZ4+zYqrpkoIXOoxn6vB742+aGmncBDEufPVNYWH8AvJVpvqA3pP478LtVtQdgmAJhFgU8vnn9BIboezdJHg/8J+B/A1TV3qr6Dr3paj7aNPso8DODqXD+zdTnqrq+qvY3zW6k9x2roWAodKOA65P8YzNFB0nOAe6pqi8NtrTOPKLPwDOAFyT5YpLPJjljgPV1Ybo+vwV4d5KdwHuAXxtYdfPvacC/Ah9O8k9JLk/yOGDVge8XNX8+cZBFzrOZ+jzZ64HPLHxp3ehymoul7HlVtSvJE4GtSb5KbxjlpQOuq0vT9Xk5cCzwXOAM4C+TPK2GZ8xyuj6/Evjlqroqyavp/Yb5koFWOX+WA6cDb66qLyZ5L/CIKfGHzEx9/g2AJL8O7Af+dHAlzi/PFDpQVbuaP+8FPgX8JHAi8KVmHHoNcEuSJw2syHk2TZ/X05vG5OpmFtybgAl6k4kNhRn6fAFwddPkE826YTEGjFXVF5vlT9L7B/P/HZjduPlzmIYJZ+ozSS4A/gvws0P0i46hMN+SPC7J0Qde0zs72FZVT6yqp1bVU+l90E6vqn8ZYKnzZoY+3w5cA7yoWf8M4DAW5+ySjzBLn3fR+yUAen3/2mAqnH/N53VnkpOaVS8GvkxvupoLmnUXAJ8eQHmdmKnPSc4CLgHOqaofDqzADjh8NP9WAZ9KAr2/3z+rqr8ebEmdm7bPzZ0aVyS5HdgLXDBEv1HN1Odx4L1JlgMP8m9Tvg+LNwN/2vy3vZve1DQj9IYGfwH4JvCqAdbXhen6vA04nN6wIcCNVXXR4EqcP96SKklqOXwkSWoZCpKklqEgSWoZCpKklqEgSWp5S6qGRpLjgL9pFp8EPERvigKA9VW1dyCFzSLJ64Etw/KdFS1+3pKqoZTkHcB4Vb3nEKhlWVU9NMO2zwMXV9Wtc9jf8kmTsUnzyuEjLQlJLkhyU/Ocgw8mGUmyPMl3mrnxb0lyXZIzm8n77m6mvibJG5o5869L79kQb+9zv+9MchOwPslvJ9mW5PYkm9LzGuA04C+a9x+WZOzA3PxJnpvkhub1O5N8KMlWepOzLU/y+82xtyd5w8L/rWoYGQoaekmeBbwC+ImqOo3esOn5zeYnANdX1en0vnX9DnpTGbwK+J+TdrO+ec/pwOvSe5jOwfZ7S1Wtr6ovAO+tqjOA/9BsO6uq/gK4FXhNVZ3Wx/DWs4GXV9XP0fum9L1VtZ7eZINvSvKUR/P3I03mNQUtBS+h9w/nzc2UBCuBnc223VW1tXl9G/Dd5sEptwFPnbSP66rqAYAk1wDPp/f/z0z73UtvkrwDXpzkV4Ej6E0K+I/MfbrlT1fVg83rlwI/nmRyCK2lN82E9KgZCloKAlxRVb/xsJW9+Ykm/3Y+AeyZ9Hry/x9TL77VQfa7+8A8T0mOBN5PbxLEe5K8k144TGc//3YGP7XND6b06Y1V9TdI88jhIy0FNwCvTvNc7CTHPYqhlpem96zeI+k9aezv57DflfRC5r5mZtXzJm37PnD0pOVvAM9pXk9uN9V1wBubACLJSUlWzrFP0iN4pqChV1W3Jflt4IYkI8A+4CLm9qjMzwN/Bjwd+PiBu4X62W9V3Z/ec35vB/4Z+OKkzR8GLk+ym951i3cAf5zkX4CbZqnnQ8BTgFuboat76YWV9Jh4S6p0EM2dPc+qqrcMuhapaw4fSZJanilIklqeKUiSWoaCJKllKEiSWoaCJKllKEiSWv8filAd6+9ylUMAAAAASUVORK5CYII=\n", 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" ] @@ -469,8 +452,8 @@ "pd.set_option('mode.chained_assignment',None) # this removes a useless warning from pandas\n", "import matplotlib.pyplot as plt\n", "\n", - "data[\"Frequency\"]=data.Malfunction/data.Count\n", - "data.plot(x=\"Temperature\",y=\"Frequency\",kind=\"scatter\",ylim=[0,1])\n", + "data2[\"Frequency\"]=data2.Malfunction/data2.Count\n", + "data2.plot(x=\"Temperature\",y=\"Frequency\",kind=\"scatter\",ylim=[0,1])\n", "plt.grid(True)" ] }, @@ -500,7 +483,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 10, "metadata": {}, "outputs": [ { @@ -509,10 +492,10 @@ "\n", "\n", "\n", - " \n", + " \n", "\n", "\n", - " \n", + " \n", "\n", "\n", " \n", @@ -521,13 +504,13 @@ " \n", "\n", "\n", - " \n", + " \n", "\n", "\n", - " \n", + " \n", "\n", "\n", - " \n", + " \n", "\n", "\n", " \n", @@ -538,10 +521,10 @@ " \n", "\n", "\n", - " \n", + " \n", "\n", "\n", - " \n", + " \n", "\n", "
Generalized Linear Model Regression Results
Dep. Variable: Frequency No. Observations: 7Dep. Variable: Frequency No. Observations: 4
Model: GLM Df Residuals: 5Model: GLM Df Residuals: 2
Model Family: Binomial Df Model: 1Link Function: logit Scale: 1.0000
Method: IRLS Log-Likelihood: -2.5250Method: IRLS Log-Likelihood: -1.3845
Date: Sat, 13 Apr 2019 Deviance: 0.22231Date: Mon, 18 Aug 2025 Deviance: 0.040847
Time: 19:11:24 Pearson chi2: 0.236Time: 15:47:24 Pearson chi2: 0.0407
No. Iterations: 4 Covariance Type: nonrobust coef std err z P>|z| [0.025 0.975]
Intercept -1.3895 7.828 -0.178 0.859 -16.732 13.953Intercept 4.3201 20.789 0.208 0.835 -36.425 45.066
Temperature 0.0014 0.122 0.012 0.991 -0.238 0.240Temperature -0.0985 0.364 -0.271 0.787 -0.812 0.615
" ], @@ -550,24 +533,24 @@ "\"\"\"\n", " Generalized Linear Model Regression Results \n", "==============================================================================\n", - "Dep. Variable: Frequency No. Observations: 7\n", - "Model: GLM Df Residuals: 5\n", + "Dep. Variable: Frequency No. Observations: 4\n", + "Model: GLM Df Residuals: 2\n", "Model Family: Binomial Df Model: 1\n", "Link Function: logit Scale: 1.0000\n", - "Method: IRLS Log-Likelihood: -2.5250\n", - "Date: Sat, 13 Apr 2019 Deviance: 0.22231\n", - "Time: 19:11:24 Pearson chi2: 0.236\n", + "Method: IRLS Log-Likelihood: -1.3845\n", + "Date: Mon, 18 Aug 2025 Deviance: 0.040847\n", + "Time: 15:47:24 Pearson chi2: 0.0407\n", "No. Iterations: 4 Covariance Type: nonrobust\n", "===============================================================================\n", " coef std err z P>|z| [0.025 0.975]\n", "-------------------------------------------------------------------------------\n", - "Intercept -1.3895 7.828 -0.178 0.859 -16.732 13.953\n", - "Temperature 0.0014 0.122 0.012 0.991 -0.238 0.240\n", + "Intercept 4.3201 20.789 0.208 0.835 -36.425 45.066\n", + "Temperature -0.0985 0.364 -0.271 0.787 -0.812 0.615\n", "===============================================================================\n", "\"\"\"" ] }, - "execution_count": 4, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } @@ -575,10 +558,10 @@ "source": [ "import statsmodels.api as sm\n", "\n", - "data[\"Success\"]=data.Count-data.Malfunction\n", - "data[\"Intercept\"]=1\n", + "data2[\"Success\"]=data2.Count-data2.Malfunction\n", + "data2[\"Intercept\"]=1\n", "\n", - "logmodel=sm.GLM(data['Frequency'], data[['Intercept','Temperature']], family=sm.families.Binomial(sm.families.links.logit)).fit()\n", + "logmodel=sm.GLM(data2['Frequency'], data2[['Intercept','Temperature']], family=sm.families.Binomial(sm.families.links.logit)).fit()\n", "\n", "logmodel.summary()" ] @@ -605,12 +588,120 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 11, "metadata": {}, "outputs": [ { "data": { - "image/png": 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82/03/8465720010.16666751
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" + ], + "text/plain": [ + " Date Count Temperature Pressure Malfunction Frequency Success \\\n", + "8 2/03/84 6 57 200 1 0.166667 5 \n", + "9 4/06/84 6 63 200 1 0.166667 5 \n", + "13 1/24/85 6 53 200 2 0.333333 4 \n", + "22 1/12/86 6 58 200 1 0.166667 5 \n", + "\n", + " Intercept \n", + "8 1 \n", + "9 1 \n", + "13 1 \n", + "22 1 " + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data2" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" ] @@ -623,13 +714,492 @@ ], "source": [ "%matplotlib inline\n", - "data_pred = pd.DataFrame({'Temperature': np.linspace(start=30, stop=90, num=121), 'Intercept': 1})\n", + "data_pred = pd.DataFrame({'Temperature': np.linspace(start=25, stop=60, num=121), 'Intercept': 1})\n", "data_pred['Frequency'] = logmodel.predict(data_pred[['Intercept','Temperature']])\n", "data_pred.plot(x=\"Temperature\",y=\"Frequency\",kind=\"line\",ylim=[0,1])\n", - "plt.scatter(x=data[\"Temperature\"],y=data[\"Frequency\"])\n", + "plt.scatter(x=data2[\"Temperature\"],y=data2[\"Frequency\"])\n", "plt.grid(True)" ] }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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InterceptTemperatureFrequency
0125.0000000.864905
1125.2916670.861511
2125.5833330.858046
3125.8750000.854509
4126.1666670.850900
5126.4583330.847216
6126.7500000.843459
7127.0416670.839627
8127.3333330.835719
9127.6250000.831734
10127.9166670.827674
11128.2083330.823536
12128.5000000.819320
13128.7916670.815026
14129.0833330.810654
15129.3750000.806203
16129.6666670.801673
17129.9583330.797064
18130.2500000.792375
19130.5416670.787607
20130.8333330.782759
21131.1250000.777832
22131.4166670.772826
23131.7083330.767741
24132.0000000.762576
25132.2916670.757333
26132.5833330.752012
27132.8750000.746614
28133.1666670.741138
29133.4583330.735586
............
91151.5416670.318910
92151.8333330.312700
93152.1250000.306557
94152.4166670.300481
95152.7083330.294475
96153.0000000.288539
97153.2916670.282675
98153.5833330.276884
99153.8750000.271166
100154.1666670.265524
101154.4583330.259956
102154.7500000.254466
103155.0416670.249052
104155.3333330.243715
105155.6250000.238457
106155.9166670.233277
107156.2083330.228176
108156.5000000.223154
109156.7916670.218211
110157.0833330.213348
111157.3750000.208564
112157.6666670.203859
113157.9583330.199234
114158.2500000.194689
115158.5416670.190222
116158.8333330.185834
117159.1250000.181525
118159.4166670.177294
119159.7083330.173141
120160.0000000.169064
\n", + "

121 rows × 3 columns

\n", + "
" + ], + "text/plain": [ + " Intercept Temperature Frequency\n", + "0 1 25.000000 0.864905\n", + "1 1 25.291667 0.861511\n", + "2 1 25.583333 0.858046\n", + "3 1 25.875000 0.854509\n", + "4 1 26.166667 0.850900\n", + "5 1 26.458333 0.847216\n", + "6 1 26.750000 0.843459\n", + "7 1 27.041667 0.839627\n", + "8 1 27.333333 0.835719\n", + "9 1 27.625000 0.831734\n", + "10 1 27.916667 0.827674\n", + "11 1 28.208333 0.823536\n", + "12 1 28.500000 0.819320\n", + "13 1 28.791667 0.815026\n", + "14 1 29.083333 0.810654\n", + "15 1 29.375000 0.806203\n", + "16 1 29.666667 0.801673\n", + "17 1 29.958333 0.797064\n", + "18 1 30.250000 0.792375\n", + "19 1 30.541667 0.787607\n", + "20 1 30.833333 0.782759\n", + "21 1 31.125000 0.777832\n", + "22 1 31.416667 0.772826\n", + "23 1 31.708333 0.767741\n", + "24 1 32.000000 0.762576\n", + "25 1 32.291667 0.757333\n", + "26 1 32.583333 0.752012\n", + "27 1 32.875000 0.746614\n", + "28 1 33.166667 0.741138\n", + "29 1 33.458333 0.735586\n", + ".. ... ... ...\n", + "91 1 51.541667 0.318910\n", + "92 1 51.833333 0.312700\n", + "93 1 52.125000 0.306557\n", + "94 1 52.416667 0.300481\n", + "95 1 52.708333 0.294475\n", + "96 1 53.000000 0.288539\n", + "97 1 53.291667 0.282675\n", + "98 1 53.583333 0.276884\n", + "99 1 53.875000 0.271166\n", + "100 1 54.166667 0.265524\n", + "101 1 54.458333 0.259956\n", + "102 1 54.750000 0.254466\n", + "103 1 55.041667 0.249052\n", + "104 1 55.333333 0.243715\n", + "105 1 55.625000 0.238457\n", + "106 1 55.916667 0.233277\n", + "107 1 56.208333 0.228176\n", + "108 1 56.500000 0.223154\n", + "109 1 56.791667 0.218211\n", + "110 1 57.083333 0.213348\n", + "111 1 57.375000 0.208564\n", + "112 1 57.666667 0.203859\n", + "113 1 57.958333 0.199234\n", + "114 1 58.250000 0.194689\n", + "115 1 58.541667 0.190222\n", + "116 1 58.833333 0.185834\n", + "117 1 59.125000 0.181525\n", + "118 1 59.416667 0.177294\n", + "119 1 59.708333 0.173141\n", + "120 1 60.000000 0.169064\n", + "\n", + "[121 rows x 3 columns]" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data_pred\n" + ] + }, { "cell_type": "markdown", "metadata": { @@ -638,30 +1208,48 @@ "scrolled": true }, "source": [ - "Comme on pouvait s'attendre au vu des données initiales, la\n", + "\n", + "\n", + "En ne prenant que la partie des température basse, on voit une influence notable de la baisse de température avec une probabilité d'échec de 0.77\n" ] }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 26, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "0.06521739130434782\n" + "data p : 0.06521739130434782\n", + "data p^2 : 0.004253308128544423\n", + "data 1−(1−𝑝2)3 : 0.01270572944054793 soit 1.27%\n", + "\n", + "data2 p : 0.20833333333333334\n", + "data2 p^2 : 0.04340277777777778\n", + "data2 1−(1−𝑝2)3 : 0.1246386921781899 soit 12.46%\n", + "\n" ] } ], "source": [ "data = pd.read_csv(\"shuttle.csv\")\n", - "print(np.sum(data.Malfunction)/np.sum(data.Count))" + "p_data = np.sum(data.Malfunction)/np.sum(data.Count)\n", + "p_data2 = np.sum(data2.Malfunction)/np.sum(data2.Count)\n", + "print(\"data p : \",p_data)\n", + "print('data p^2 : ',p_data**2)\n", + "print('data 1−(1−𝑝2)3 : ',1-(1-p_data**2)**3,f' soit {(1-(1-p_data**2)**3)*100:.2f}%')\n", + "print()\n", + "print(\"data2 p : \",p_data2)\n", + "print('data2 p^2 : ',p_data2**2)\n", + "print('data2 1−(1−𝑝2)3 : ',1-(1-p_data2**2)**3,f' soit {(1-(1-p_data2**2)**3)*100:.2f}%')\n", + "print (\"\")" ] }, { @@ -705,7 +1293,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.3" + "version": "3.6.4" } }, "nbformat": 4, diff --git a/module3/exo1/analyse-syndrome-grippal.ipynb b/module3/exo1/analyse-syndrome-grippal.ipynb index 59d72b5b58a3ae26346460dd39e62a39c55243d7..4914806783209e25b70fabd512a4fbc16fe51b37 100644 --- a/module3/exo1/analyse-syndrome-grippal.ipynb +++ b/module3/exo1/analyse-syndrome-grippal.ipynb @@ -9,14 +9,15 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "%matplotlib inline\n", "import matplotlib.pyplot as plt\n", "import pandas as pd\n", - "import isoweek" + "import isoweek\n", + "import os" ] }, { @@ -28,13 +29,12 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, + "execution_count": 20, + "metadata": {}, "outputs": [], "source": [ - "data_url = \"http://www.sentiweb.fr/datasets/incidence-PAY-3.csv\"" + "data_url = \"https://www.sentiweb.fr/datasets/all/inc-3-PAY.csv\" # \"http://www.sentiweb.fr/datasets/incidence-PAY-3.csv\"\n", + "data_locale = r'./mod3_exo1_donnes_brutes.csv'" ] }, { @@ -61,11 +61,1007 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 18, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "completeName : ./ , influenza-like-illness-analysis.org\n", + "completeName : ./ , influenza-like-illness-analysis.Rmd\n", + "completeName : ./ , mod3_exo1_donnes_brutes.csv\n", + "completeName : ./ , influenza-like-illness-analysis.ipynb\n", + "completeName : ./ , analyse-syndrome-grippal.Rmd\n", + "completeName : ./ , analyse-syndrome-grippal.org\n", + "completeName : ./ , analyse-syndrome-grippal.ipynb\n", + "completeName : ./.ipynb_checkpoints , analyse-syndrome-grippal-checkpoint.ipynb\n" + ] + } + ], + "source": [ + "for dirPath, dirNames, files in os.walk(r'./'):\n", + " for name in files:\n", + " print( f'completeName : {dirPath} , {name}')\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
020253232183514291.029379.03322.044.0FRFrance
120253131861512735.024495.02819.037.0FRFrance
220253031916614283.024049.02922.036.0FRFrance
320252931867313815.023531.02821.035.0FRFrance
420252832328518131.028439.03527.043.0FRFrance
520252732145317129.025777.03226.038.0FRFrance
620252632194517422.026468.03326.040.0FRFrance
720252532332318546.028100.03528.042.0FRFrance
820252432315418577.027731.03528.042.0FRFrance
920252332439119307.029475.03628.044.0FRFrance
1020252231875514333.023177.02821.035.0FRFrance
1120252132376018671.028849.03527.043.0FRFrance
1220252032026515814.024716.03023.037.0FRFrance
1320251931626412394.020134.02418.030.0FRFrance
1420251831811513975.022255.02721.033.0FRFrance
1520251732215017291.027009.03326.040.0FRFrance
1620251632856422550.034578.04334.052.0FRFrance
1720251533572129592.041850.05344.062.0FRFrance
1820251433757931232.043926.05647.065.0FRFrance
1920251333967333686.045660.05950.068.0FRFrance
2020251235254345627.059459.07868.088.0FRFrance
2120251135946952154.066784.08978.0100.0FRFrance
2220251036033453048.067620.09079.0101.0FRFrance
2320250938453174994.094068.0126112.0140.0FRFrance
242025083136020124824.0147216.0203186.0220.0FRFrance
252025073208952195988.0221916.0312293.0331.0FRFrance
262025063273519258159.0288879.0408385.0431.0FRFrance
272025053334395318416.0350374.0499475.0523.0FRFrance
282025043350043332885.0367201.0522496.0548.0FRFrance
292025033252772238917.0266627.0377356.0398.0FRFrance
.................................
209819852132609619621.032571.04735.059.0FRFrance
209919852032789620885.034907.05138.064.0FRFrance
210019851934315432821.053487.07859.097.0FRFrance
210119851834055529935.051175.07455.093.0FRFrance
210219851733405324366.043740.06244.080.0FRFrance
210319851635036236451.064273.09166.0116.0FRFrance
210419851536388145538.082224.011683.0149.0FRFrance
21051985143134545114400.0154690.0244207.0281.0FRFrance
21061985133197206176080.0218332.0357319.0395.0FRFrance
21071985123245240223304.0267176.0445405.0485.0FRFrance
21081985113276205252399.0300011.0501458.0544.0FRFrance
21091985103353231326279.0380183.0640591.0689.0FRFrance
21101985093369895341109.0398681.0670618.0722.0FRFrance
21111985083389886359529.0420243.0707652.0762.0FRFrance
21121985073471852432599.0511105.0855784.0926.0FRFrance
21131985063565825518011.0613639.01026939.01113.0FRFrance
21141985053637302592795.0681809.011551074.01236.0FRFrance
21151985043424937390794.0459080.0770708.0832.0FRFrance
21161985033213901174689.0253113.0388317.0459.0FRFrance
211719850239758680949.0114223.0177147.0207.0FRFrance
211819850138548965918.0105060.0155120.0190.0FRFrance
211919845238483060602.0109058.0154110.0198.0FRFrance
2120198451310172680242.0123210.0185146.0224.0FRFrance
21211984503123680101401.0145959.0225184.0266.0FRFrance
2122198449310107381684.0120462.0184149.0219.0FRFrance
212319844837862060634.096606.0143110.0176.0FRFrance
212419844737202954274.089784.013199.0163.0FRFrance
212519844638733067686.0106974.0159123.0195.0FRFrance
21261984453135223101414.0169032.0246184.0308.0FRFrance
212719844436842220056.0116788.012537.0213.0FRFrance
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2128 rows × 10 columns

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" + ], + "text/plain": [ + " week indicator inc inc_low inc_up inc100 inc100_low \\\n", + "0 202532 3 21835 14291.0 29379.0 33 22.0 \n", + "1 202531 3 18615 12735.0 24495.0 28 19.0 \n", + "2 202530 3 19166 14283.0 24049.0 29 22.0 \n", + "3 202529 3 18673 13815.0 23531.0 28 21.0 \n", + "4 202528 3 23285 18131.0 28439.0 35 27.0 \n", + "5 202527 3 21453 17129.0 25777.0 32 26.0 \n", + "6 202526 3 21945 17422.0 26468.0 33 26.0 \n", + "7 202525 3 23323 18546.0 28100.0 35 28.0 \n", + "8 202524 3 23154 18577.0 27731.0 35 28.0 \n", + "9 202523 3 24391 19307.0 29475.0 36 28.0 \n", + "10 202522 3 18755 14333.0 23177.0 28 21.0 \n", + "11 202521 3 23760 18671.0 28849.0 35 27.0 \n", + "12 202520 3 20265 15814.0 24716.0 30 23.0 \n", + "13 202519 3 16264 12394.0 20134.0 24 18.0 \n", + "14 202518 3 18115 13975.0 22255.0 27 21.0 \n", + "15 202517 3 22150 17291.0 27009.0 33 26.0 \n", + "16 202516 3 28564 22550.0 34578.0 43 34.0 \n", + "17 202515 3 35721 29592.0 41850.0 53 44.0 \n", + "18 202514 3 37579 31232.0 43926.0 56 47.0 \n", + "19 202513 3 39673 33686.0 45660.0 59 50.0 \n", + "20 202512 3 52543 45627.0 59459.0 78 68.0 \n", + "21 202511 3 59469 52154.0 66784.0 89 78.0 \n", + "22 202510 3 60334 53048.0 67620.0 90 79.0 \n", + "23 202509 3 84531 74994.0 94068.0 126 112.0 \n", + "24 202508 3 136020 124824.0 147216.0 203 186.0 \n", + "25 202507 3 208952 195988.0 221916.0 312 293.0 \n", + "26 202506 3 273519 258159.0 288879.0 408 385.0 \n", + "27 202505 3 334395 318416.0 350374.0 499 475.0 \n", + "28 202504 3 350043 332885.0 367201.0 522 496.0 \n", + "29 202503 3 252772 238917.0 266627.0 377 356.0 \n", + "... ... ... ... ... ... ... ... \n", + "2098 198521 3 26096 19621.0 32571.0 47 35.0 \n", + "2099 198520 3 27896 20885.0 34907.0 51 38.0 \n", + "2100 198519 3 43154 32821.0 53487.0 78 59.0 \n", + "2101 198518 3 40555 29935.0 51175.0 74 55.0 \n", + "2102 198517 3 34053 24366.0 43740.0 62 44.0 \n", + "2103 198516 3 50362 36451.0 64273.0 91 66.0 \n", + "2104 198515 3 63881 45538.0 82224.0 116 83.0 \n", + "2105 198514 3 134545 114400.0 154690.0 244 207.0 \n", + "2106 198513 3 197206 176080.0 218332.0 357 319.0 \n", + "2107 198512 3 245240 223304.0 267176.0 445 405.0 \n", + "2108 198511 3 276205 252399.0 300011.0 501 458.0 \n", + "2109 198510 3 353231 326279.0 380183.0 640 591.0 \n", + "2110 198509 3 369895 341109.0 398681.0 670 618.0 \n", + "2111 198508 3 389886 359529.0 420243.0 707 652.0 \n", + "2112 198507 3 471852 432599.0 511105.0 855 784.0 \n", + "2113 198506 3 565825 518011.0 613639.0 1026 939.0 \n", + "2114 198505 3 637302 592795.0 681809.0 1155 1074.0 \n", + "2115 198504 3 424937 390794.0 459080.0 770 708.0 \n", + "2116 198503 3 213901 174689.0 253113.0 388 317.0 \n", + "2117 198502 3 97586 80949.0 114223.0 177 147.0 \n", + "2118 198501 3 85489 65918.0 105060.0 155 120.0 \n", + "2119 198452 3 84830 60602.0 109058.0 154 110.0 \n", + "2120 198451 3 101726 80242.0 123210.0 185 146.0 \n", + "2121 198450 3 123680 101401.0 145959.0 225 184.0 \n", + "2122 198449 3 101073 81684.0 120462.0 184 149.0 \n", + "2123 198448 3 78620 60634.0 96606.0 143 110.0 \n", + "2124 198447 3 72029 54274.0 89784.0 131 99.0 \n", + "2125 198446 3 87330 67686.0 106974.0 159 123.0 \n", + "2126 198445 3 135223 101414.0 169032.0 246 184.0 \n", + "2127 198444 3 68422 20056.0 116788.0 125 37.0 \n", + "\n", + " inc100_up geo_insee geo_name \n", + "0 44.0 FR France \n", + "1 37.0 FR France \n", + "2 36.0 FR France \n", + "3 35.0 FR France \n", + "4 43.0 FR France \n", + "5 38.0 FR France \n", + "6 40.0 FR France \n", + "7 42.0 FR France \n", + "8 42.0 FR France \n", + "9 44.0 FR France \n", + "10 35.0 FR France \n", + "11 43.0 FR France \n", + "12 37.0 FR France \n", + "13 30.0 FR France \n", + "14 33.0 FR France \n", + "15 40.0 FR France \n", + "16 52.0 FR France \n", + "17 62.0 FR France \n", + "18 65.0 FR France \n", + "19 68.0 FR France \n", + "20 88.0 FR France \n", + "21 100.0 FR France \n", + "22 101.0 FR France \n", + "23 140.0 FR France \n", + "24 220.0 FR France \n", + "25 331.0 FR France \n", + "26 431.0 FR France \n", + "27 523.0 FR France \n", + "28 548.0 FR France \n", + "29 398.0 FR France \n", + "... ... ... ... \n", + "2098 59.0 FR France \n", + "2099 64.0 FR France \n", + "2100 97.0 FR France \n", + "2101 93.0 FR France \n", + "2102 80.0 FR France \n", + "2103 116.0 FR France \n", + "2104 149.0 FR France \n", + "2105 281.0 FR France \n", + "2106 395.0 FR France \n", + "2107 485.0 FR France \n", + "2108 544.0 FR France \n", + "2109 689.0 FR France \n", + "2110 722.0 FR France \n", + "2111 762.0 FR France \n", + "2112 926.0 FR France \n", + "2113 1113.0 FR France \n", + "2114 1236.0 FR France \n", + "2115 832.0 FR France \n", + "2116 459.0 FR France \n", + "2117 207.0 FR France \n", + "2118 190.0 FR France \n", + "2119 198.0 FR France \n", + "2120 224.0 FR France \n", + "2121 266.0 FR France \n", + "2122 219.0 FR France \n", + "2123 176.0 FR France \n", + "2124 163.0 FR France \n", + "2125 195.0 FR France \n", + "2126 308.0 FR France \n", + "2127 213.0 FR France \n", + "\n", + "[2128 rows x 10 columns]" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "raw_data = pd.read_csv(data_url, skiprows=1)\n", + "raw_data = pd.read_csv(data_locale, skiprows=0) # était data_url avec skiprows= 1\n", + "# exécuté une fois puis commenté \n", + "# raw_data.to_csv('./mod3_exo1_donnes_brutes.csv', index = False)\n", "raw_data" ] }, @@ -78,9 +1074,73 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 22, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
18911989193-NaNNaN-NaNNaNFRFrance
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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
020253232183514291.029379.03322.044.0FRFrance
120253131861512735.024495.02819.037.0FRFrance
220253031916614283.024049.02922.036.0FRFrance
320252931867313815.023531.02821.035.0FRFrance
420252832328518131.028439.03527.043.0FRFrance
520252732145317129.025777.03226.038.0FRFrance
620252632194517422.026468.03326.040.0FRFrance
720252532332318546.028100.03528.042.0FRFrance
820252432315418577.027731.03528.042.0FRFrance
920252332439119307.029475.03628.044.0FRFrance
1020252231875514333.023177.02821.035.0FRFrance
1120252132376018671.028849.03527.043.0FRFrance
1220252032026515814.024716.03023.037.0FRFrance
1320251931626412394.020134.02418.030.0FRFrance
1420251831811513975.022255.02721.033.0FRFrance
1520251732215017291.027009.03326.040.0FRFrance
1620251632856422550.034578.04334.052.0FRFrance
1720251533572129592.041850.05344.062.0FRFrance
1820251433757931232.043926.05647.065.0FRFrance
1920251333967333686.045660.05950.068.0FRFrance
2020251235254345627.059459.07868.088.0FRFrance
2120251135946952154.066784.08978.0100.0FRFrance
2220251036033453048.067620.09079.0101.0FRFrance
2320250938453174994.094068.0126112.0140.0FRFrance
242025083136020124824.0147216.0203186.0220.0FRFrance
252025073208952195988.0221916.0312293.0331.0FRFrance
262025063273519258159.0288879.0408385.0431.0FRFrance
272025053334395318416.0350374.0499475.0523.0FRFrance
282025043350043332885.0367201.0522496.0548.0FRFrance
292025033252772238917.0266627.0377356.0398.0FRFrance
.................................
209819852132609619621.032571.04735.059.0FRFrance
209919852032789620885.034907.05138.064.0FRFrance
210019851934315432821.053487.07859.097.0FRFrance
210119851834055529935.051175.07455.093.0FRFrance
210219851733405324366.043740.06244.080.0FRFrance
210319851635036236451.064273.09166.0116.0FRFrance
210419851536388145538.082224.011683.0149.0FRFrance
21051985143134545114400.0154690.0244207.0281.0FRFrance
21061985133197206176080.0218332.0357319.0395.0FRFrance
21071985123245240223304.0267176.0445405.0485.0FRFrance
21081985113276205252399.0300011.0501458.0544.0FRFrance
21091985103353231326279.0380183.0640591.0689.0FRFrance
21101985093369895341109.0398681.0670618.0722.0FRFrance
21111985083389886359529.0420243.0707652.0762.0FRFrance
21121985073471852432599.0511105.0855784.0926.0FRFrance
21131985063565825518011.0613639.01026939.01113.0FRFrance
21141985053637302592795.0681809.011551074.01236.0FRFrance
21151985043424937390794.0459080.0770708.0832.0FRFrance
21161985033213901174689.0253113.0388317.0459.0FRFrance
211719850239758680949.0114223.0177147.0207.0FRFrance
211819850138548965918.0105060.0155120.0190.0FRFrance
211919845238483060602.0109058.0154110.0198.0FRFrance
2120198451310172680242.0123210.0185146.0224.0FRFrance
21211984503123680101401.0145959.0225184.0266.0FRFrance
2122198449310107381684.0120462.0184149.0219.0FRFrance
212319844837862060634.096606.0143110.0176.0FRFrance
212419844737202954274.089784.013199.0163.0FRFrance
212519844638733067686.0106974.0159123.0195.0FRFrance
21261984453135223101414.0169032.0246184.0308.0FRFrance
212719844436842220056.0116788.012537.0213.0FRFrance
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2127 rows × 10 columns

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31232.0 43926.0 56 47.0 \n", + "19 202513 3 39673 33686.0 45660.0 59 50.0 \n", + "20 202512 3 52543 45627.0 59459.0 78 68.0 \n", + "21 202511 3 59469 52154.0 66784.0 89 78.0 \n", + "22 202510 3 60334 53048.0 67620.0 90 79.0 \n", + "23 202509 3 84531 74994.0 94068.0 126 112.0 \n", + "24 202508 3 136020 124824.0 147216.0 203 186.0 \n", + "25 202507 3 208952 195988.0 221916.0 312 293.0 \n", + "26 202506 3 273519 258159.0 288879.0 408 385.0 \n", + "27 202505 3 334395 318416.0 350374.0 499 475.0 \n", + "28 202504 3 350043 332885.0 367201.0 522 496.0 \n", + "29 202503 3 252772 238917.0 266627.0 377 356.0 \n", + "... ... ... ... ... ... ... ... \n", + "2098 198521 3 26096 19621.0 32571.0 47 35.0 \n", + "2099 198520 3 27896 20885.0 34907.0 51 38.0 \n", + "2100 198519 3 43154 32821.0 53487.0 78 59.0 \n", + "2101 198518 3 40555 29935.0 51175.0 74 55.0 \n", + "2102 198517 3 34053 24366.0 43740.0 62 44.0 \n", + "2103 198516 3 50362 36451.0 64273.0 91 66.0 \n", + "2104 198515 3 63881 45538.0 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France \n", + "2127 213.0 FR France \n", + "\n", + "[2127 rows x 10 columns]" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "data = raw_data.dropna().copy()\n", "data" @@ -122,7 +2149,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 24, "metadata": {}, "outputs": [], "source": [ @@ -152,13 +2179,994 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "collapsed": true - }, - "outputs": [], + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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weekindicatorincinc_lowinc_upinc100inc100_lowinc100_upgeo_inseegeo_name
period
1984-10-29/1984-11-0419844436842220056.0116788.012537.0213.0FRFrance
1984-11-05/1984-11-111984453135223101414.0169032.0246184.0308.0FRFrance
1984-11-12/1984-11-1819844638733067686.0106974.0159123.0195.0FRFrance
1984-11-19/1984-11-2519844737202954274.089784.013199.0163.0FRFrance
1984-11-26/1984-12-0219844837862060634.096606.0143110.0176.0FRFrance
1984-12-03/1984-12-09198449310107381684.0120462.0184149.0219.0FRFrance
1984-12-10/1984-12-161984503123680101401.0145959.0225184.0266.0FRFrance
1984-12-17/1984-12-23198451310172680242.0123210.0185146.0224.0FRFrance
1984-12-24/1984-12-3019845238483060602.0109058.0154110.0198.0FRFrance
1984-12-31/1985-01-0619850138548965918.0105060.0155120.0190.0FRFrance
1985-01-07/1985-01-1319850239758680949.0114223.0177147.0207.0FRFrance
1985-01-14/1985-01-201985033213901174689.0253113.0388317.0459.0FRFrance
1985-01-21/1985-01-271985043424937390794.0459080.0770708.0832.0FRFrance
1985-01-28/1985-02-031985053637302592795.0681809.011551074.01236.0FRFrance
1985-02-04/1985-02-101985063565825518011.0613639.01026939.01113.0FRFrance
1985-02-11/1985-02-171985073471852432599.0511105.0855784.0926.0FRFrance
1985-02-18/1985-02-241985083389886359529.0420243.0707652.0762.0FRFrance
1985-02-25/1985-03-031985093369895341109.0398681.0670618.0722.0FRFrance
1985-03-04/1985-03-101985103353231326279.0380183.0640591.0689.0FRFrance
1985-03-11/1985-03-171985113276205252399.0300011.0501458.0544.0FRFrance
1985-03-18/1985-03-241985123245240223304.0267176.0445405.0485.0FRFrance
1985-03-25/1985-03-311985133197206176080.0218332.0357319.0395.0FRFrance
1985-04-01/1985-04-071985143134545114400.0154690.0244207.0281.0FRFrance
1985-04-08/1985-04-1419851536388145538.082224.011683.0149.0FRFrance
1985-04-15/1985-04-2119851635036236451.064273.09166.0116.0FRFrance
1985-04-22/1985-04-2819851733405324366.043740.06244.080.0FRFrance
1985-04-29/1985-05-0519851834055529935.051175.07455.093.0FRFrance
1985-05-06/1985-05-1219851934315432821.053487.07859.097.0FRFrance
1985-05-13/1985-05-1919852032789620885.034907.05138.064.0FRFrance
1985-05-20/1985-05-2619852132609619621.032571.04735.059.0FRFrance
.................................
2025-01-13/2025-01-192025033252772238917.0266627.0377356.0398.0FRFrance
2025-01-20/2025-01-262025043350043332885.0367201.0522496.0548.0FRFrance
2025-01-27/2025-02-022025053334395318416.0350374.0499475.0523.0FRFrance
2025-02-03/2025-02-092025063273519258159.0288879.0408385.0431.0FRFrance
2025-02-10/2025-02-162025073208952195988.0221916.0312293.0331.0FRFrance
2025-02-17/2025-02-232025083136020124824.0147216.0203186.0220.0FRFrance
2025-02-24/2025-03-0220250938453174994.094068.0126112.0140.0FRFrance
2025-03-03/2025-03-0920251036033453048.067620.09079.0101.0FRFrance
2025-03-10/2025-03-1620251135946952154.066784.08978.0100.0FRFrance
2025-03-17/2025-03-2320251235254345627.059459.07868.088.0FRFrance
2025-03-24/2025-03-3020251333967333686.045660.05950.068.0FRFrance
2025-03-31/2025-04-0620251433757931232.043926.05647.065.0FRFrance
2025-04-07/2025-04-1320251533572129592.041850.05344.062.0FRFrance
2025-04-14/2025-04-2020251632856422550.034578.04334.052.0FRFrance
2025-04-21/2025-04-2720251732215017291.027009.03326.040.0FRFrance
2025-04-28/2025-05-0420251831811513975.022255.02721.033.0FRFrance
2025-05-05/2025-05-1120251931626412394.020134.02418.030.0FRFrance
2025-05-12/2025-05-1820252032026515814.024716.03023.037.0FRFrance
2025-05-19/2025-05-2520252132376018671.028849.03527.043.0FRFrance
2025-05-26/2025-06-0120252231875514333.023177.02821.035.0FRFrance
2025-06-02/2025-06-0820252332439119307.029475.03628.044.0FRFrance
2025-06-09/2025-06-1520252432315418577.027731.03528.042.0FRFrance
2025-06-16/2025-06-2220252532332318546.028100.03528.042.0FRFrance
2025-06-23/2025-06-2920252632194517422.026468.03326.040.0FRFrance
2025-06-30/2025-07-0620252732145317129.025777.03226.038.0FRFrance
2025-07-07/2025-07-1320252832328518131.028439.03527.043.0FRFrance
2025-07-14/2025-07-2020252931867313815.023531.02821.035.0FRFrance
2025-07-21/2025-07-2720253031916614283.024049.02922.036.0FRFrance
2025-07-28/2025-08-0320253131861512735.024495.02819.037.0FRFrance
2025-08-04/2025-08-1020253232183514291.029379.03322.044.0FRFrance
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2127 rows × 10 columns

\n", + "
" + ], + "text/plain": [ + " week indicator inc inc_low inc_up inc100 \\\n", + "period \n", + "1984-10-29/1984-11-04 198444 3 68422 20056.0 116788.0 125 \n", + "1984-11-05/1984-11-11 198445 3 135223 101414.0 169032.0 246 \n", + "1984-11-12/1984-11-18 198446 3 87330 67686.0 106974.0 159 \n", + "1984-11-19/1984-11-25 198447 3 72029 54274.0 89784.0 131 \n", + "1984-11-26/1984-12-02 198448 3 78620 60634.0 96606.0 143 \n", + "1984-12-03/1984-12-09 198449 3 101073 81684.0 120462.0 184 \n", + "1984-12-10/1984-12-16 198450 3 123680 101401.0 145959.0 225 \n", + "1984-12-17/1984-12-23 198451 3 101726 80242.0 123210.0 185 \n", + "1984-12-24/1984-12-30 198452 3 84830 60602.0 109058.0 154 \n", + "1984-12-31/1985-01-06 198501 3 85489 65918.0 105060.0 155 \n", + "1985-01-07/1985-01-13 198502 3 97586 80949.0 114223.0 177 \n", + "1985-01-14/1985-01-20 198503 3 213901 174689.0 253113.0 388 \n", + "1985-01-21/1985-01-27 198504 3 424937 390794.0 459080.0 770 \n", + "1985-01-28/1985-02-03 198505 3 637302 592795.0 681809.0 1155 \n", + "1985-02-04/1985-02-10 198506 3 565825 518011.0 613639.0 1026 \n", + "1985-02-11/1985-02-17 198507 3 471852 432599.0 511105.0 855 \n", + "1985-02-18/1985-02-24 198508 3 389886 359529.0 420243.0 707 \n", + "1985-02-25/1985-03-03 198509 3 369895 341109.0 398681.0 670 \n", + "1985-03-04/1985-03-10 198510 3 353231 326279.0 380183.0 640 \n", + "1985-03-11/1985-03-17 198511 3 276205 252399.0 300011.0 501 \n", + "1985-03-18/1985-03-24 198512 3 245240 223304.0 267176.0 445 \n", + "1985-03-25/1985-03-31 198513 3 197206 176080.0 218332.0 357 \n", + "1985-04-01/1985-04-07 198514 3 134545 114400.0 154690.0 244 \n", + "1985-04-08/1985-04-14 198515 3 63881 45538.0 82224.0 116 \n", + "1985-04-15/1985-04-21 198516 3 50362 36451.0 64273.0 91 \n", + "1985-04-22/1985-04-28 198517 3 34053 24366.0 43740.0 62 \n", + "1985-04-29/1985-05-05 198518 3 40555 29935.0 51175.0 74 \n", + "1985-05-06/1985-05-12 198519 3 43154 32821.0 53487.0 78 \n", + "1985-05-13/1985-05-19 198520 3 27896 20885.0 34907.0 51 \n", + "1985-05-20/1985-05-26 198521 3 26096 19621.0 32571.0 47 \n", + "... ... ... ... ... ... ... \n", + "2025-01-13/2025-01-19 202503 3 252772 238917.0 266627.0 377 \n", + "2025-01-20/2025-01-26 202504 3 350043 332885.0 367201.0 522 \n", + "2025-01-27/2025-02-02 202505 3 334395 318416.0 350374.0 499 \n", + "2025-02-03/2025-02-09 202506 3 273519 258159.0 288879.0 408 \n", + "2025-02-10/2025-02-16 202507 3 208952 195988.0 221916.0 312 \n", + "2025-02-17/2025-02-23 202508 3 136020 124824.0 147216.0 203 \n", + "2025-02-24/2025-03-02 202509 3 84531 74994.0 94068.0 126 \n", + "2025-03-03/2025-03-09 202510 3 60334 53048.0 67620.0 90 \n", + "2025-03-10/2025-03-16 202511 3 59469 52154.0 66784.0 89 \n", + "2025-03-17/2025-03-23 202512 3 52543 45627.0 59459.0 78 \n", + "2025-03-24/2025-03-30 202513 3 39673 33686.0 45660.0 59 \n", + "2025-03-31/2025-04-06 202514 3 37579 31232.0 43926.0 56 \n", + "2025-04-07/2025-04-13 202515 3 35721 29592.0 41850.0 53 \n", + "2025-04-14/2025-04-20 202516 3 28564 22550.0 34578.0 43 \n", + "2025-04-21/2025-04-27 202517 3 22150 17291.0 27009.0 33 \n", + "2025-04-28/2025-05-04 202518 3 18115 13975.0 22255.0 27 \n", + "2025-05-05/2025-05-11 202519 3 16264 12394.0 20134.0 24 \n", + "2025-05-12/2025-05-18 202520 3 20265 15814.0 24716.0 30 \n", + "2025-05-19/2025-05-25 202521 3 23760 18671.0 28849.0 35 \n", + "2025-05-26/2025-06-01 202522 3 18755 14333.0 23177.0 28 \n", + "2025-06-02/2025-06-08 202523 3 24391 19307.0 29475.0 36 \n", + "2025-06-09/2025-06-15 202524 3 23154 18577.0 27731.0 35 \n", + "2025-06-16/2025-06-22 202525 3 23323 18546.0 28100.0 35 \n", + "2025-06-23/2025-06-29 202526 3 21945 17422.0 26468.0 33 \n", + "2025-06-30/2025-07-06 202527 3 21453 17129.0 25777.0 32 \n", + "2025-07-07/2025-07-13 202528 3 23285 18131.0 28439.0 35 \n", + "2025-07-14/2025-07-20 202529 3 18673 13815.0 23531.0 28 \n", + "2025-07-21/2025-07-27 202530 3 19166 14283.0 24049.0 29 \n", + "2025-07-28/2025-08-03 202531 3 18615 12735.0 24495.0 28 \n", + "2025-08-04/2025-08-10 202532 3 21835 14291.0 29379.0 33 \n", + "\n", + " inc100_low inc100_up geo_insee geo_name \n", + "period \n", + "1984-10-29/1984-11-04 37.0 213.0 FR France \n", + "1984-11-05/1984-11-11 184.0 308.0 FR France \n", + "1984-11-12/1984-11-18 123.0 195.0 FR France \n", + "1984-11-19/1984-11-25 99.0 163.0 FR France \n", + "1984-11-26/1984-12-02 110.0 176.0 FR France \n", + "1984-12-03/1984-12-09 149.0 219.0 FR France \n", + "1984-12-10/1984-12-16 184.0 266.0 FR France \n", + "1984-12-17/1984-12-23 146.0 224.0 FR France \n", + "1984-12-24/1984-12-30 110.0 198.0 FR France \n", + "1984-12-31/1985-01-06 120.0 190.0 FR France \n", + "1985-01-07/1985-01-13 147.0 207.0 FR France \n", + "1985-01-14/1985-01-20 317.0 459.0 FR France \n", + "1985-01-21/1985-01-27 708.0 832.0 FR France \n", + "1985-01-28/1985-02-03 1074.0 1236.0 FR France \n", + "1985-02-04/1985-02-10 939.0 1113.0 FR France \n", + "1985-02-11/1985-02-17 784.0 926.0 FR France \n", + "1985-02-18/1985-02-24 652.0 762.0 FR France \n", + "1985-02-25/1985-03-03 618.0 722.0 FR France \n", + "1985-03-04/1985-03-10 591.0 689.0 FR France \n", + "1985-03-11/1985-03-17 458.0 544.0 FR France \n", + "1985-03-18/1985-03-24 405.0 485.0 FR France \n", + "1985-03-25/1985-03-31 319.0 395.0 FR France \n", + "1985-04-01/1985-04-07 207.0 281.0 FR France \n", + "1985-04-08/1985-04-14 83.0 149.0 FR France \n", + "1985-04-15/1985-04-21 66.0 116.0 FR France \n", + "1985-04-22/1985-04-28 44.0 80.0 FR France \n", + "1985-04-29/1985-05-05 55.0 93.0 FR France \n", + "1985-05-06/1985-05-12 59.0 97.0 FR France \n", + "1985-05-13/1985-05-19 38.0 64.0 FR France \n", + "1985-05-20/1985-05-26 35.0 59.0 FR France \n", + "... ... ... ... ... \n", + "2025-01-13/2025-01-19 356.0 398.0 FR France \n", + "2025-01-20/2025-01-26 496.0 548.0 FR France \n", + "2025-01-27/2025-02-02 475.0 523.0 FR France \n", + "2025-02-03/2025-02-09 385.0 431.0 FR France \n", + "2025-02-10/2025-02-16 293.0 331.0 FR France \n", + "2025-02-17/2025-02-23 186.0 220.0 FR France \n", + "2025-02-24/2025-03-02 112.0 140.0 FR France \n", + "2025-03-03/2025-03-09 79.0 101.0 FR France \n", + "2025-03-10/2025-03-16 78.0 100.0 FR France \n", + "2025-03-17/2025-03-23 68.0 88.0 FR France \n", + "2025-03-24/2025-03-30 50.0 68.0 FR France \n", + "2025-03-31/2025-04-06 47.0 65.0 FR France \n", + "2025-04-07/2025-04-13 44.0 62.0 FR France \n", + "2025-04-14/2025-04-20 34.0 52.0 FR France \n", + "2025-04-21/2025-04-27 26.0 40.0 FR France \n", + "2025-04-28/2025-05-04 21.0 33.0 FR France \n", + "2025-05-05/2025-05-11 18.0 30.0 FR France \n", + "2025-05-12/2025-05-18 23.0 37.0 FR France \n", + "2025-05-19/2025-05-25 27.0 43.0 FR France \n", + "2025-05-26/2025-06-01 21.0 35.0 FR France \n", + "2025-06-02/2025-06-08 28.0 44.0 FR France \n", + "2025-06-09/2025-06-15 28.0 42.0 FR France \n", + "2025-06-16/2025-06-22 28.0 42.0 FR France \n", + "2025-06-23/2025-06-29 26.0 40.0 FR France \n", + "2025-06-30/2025-07-06 26.0 38.0 FR France \n", + "2025-07-07/2025-07-13 27.0 43.0 FR France \n", + "2025-07-14/2025-07-20 21.0 35.0 FR France \n", + "2025-07-21/2025-07-27 22.0 36.0 FR France \n", + "2025-07-28/2025-08-03 19.0 37.0 FR France \n", + "2025-08-04/2025-08-10 22.0 44.0 FR France \n", + "\n", + "[2127 rows x 10 columns]" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "sorted_data = data.set_index('period').sort_index()" + "sorted_data = data.set_index('period').sort_index()\n", + "sorted_data" ] }, { @@ -179,9 +3187,17 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 26, "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 +3215,26 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 27, "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 \u001b[0mplot_series\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__doc__\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2505\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;36mplot_series\u001b[0;34m(data, 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 1925\u001b[0m \u001b[0myerr\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0myerr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mxerr\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mxerr\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1926\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-> 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 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\u001b[0mplot_obj\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgenerate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1730\u001b[0m \u001b[0mplot_obj\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdraw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1731\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mplot_obj\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresult\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;36mgenerate\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 248\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mgenerate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 249\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_args_adjust\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 250\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_compute_plot_data\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 251\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_setup_subplots\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 252\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_make_plot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\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_compute_plot_data\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 363\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mis_empty\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 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 +3248,26 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 28, "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 \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 \u001b[0mplot_series\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__doc__\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2505\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;36mplot_series\u001b[0;34m(data, 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 1925\u001b[0m \u001b[0myerr\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0myerr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mxerr\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mxerr\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1926\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-> 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 \u001b[0mplot_obj\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgenerate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1730\u001b[0m \u001b[0mplot_obj\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdraw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1731\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mplot_obj\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresult\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;36mgenerate\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 248\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mgenerate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 249\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_args_adjust\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 250\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_compute_plot_data\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 251\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_setup_subplots\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 252\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_make_plot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\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_compute_plot_data\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 363\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mis_empty\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 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'][-200:].plot()" ] @@ -253,9 +3303,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": true - }, + "metadata": {}, "outputs": [], "source": [ "first_august_week = [pd.Period(pd.Timestamp(y, 8, 1), 'W')\n", @@ -341,9 +3389,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "collapsed": true - }, + "metadata": {}, "outputs": [], "source": [] } @@ -364,7 +3410,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.1" + "version": "3.6.4" } }, "nbformat": 4, diff --git a/module3/exo1/mod3_exo1_donnes_brutes.csv b/module3/exo1/mod3_exo1_donnes_brutes.csv new file mode 100644 index 0000000000000000000000000000000000000000..cb52ded7b2e753a65561c3be0437eeefa8dcfcf9 --- /dev/null +++ b/module3/exo1/mod3_exo1_donnes_brutes.csv @@ -0,0 +1,2129 @@ +week,indicator,inc,inc_low,inc_up,inc100,inc100_low,inc100_up,geo_insee,geo_name +202532,3,21835,14291.0,29379.0,33,22.0,44.0,FR,France +202531,3,18615,12735.0,24495.0,28,19.0,37.0,FR,France +202530,3,19166,14283.0,24049.0,29,22.0,36.0,FR,France +202529,3,18673,13815.0,23531.0,28,21.0,35.0,FR,France +202528,3,23285,18131.0,28439.0,35,27.0,43.0,FR,France +202527,3,21453,17129.0,25777.0,32,26.0,38.0,FR,France +202526,3,21945,17422.0,26468.0,33,26.0,40.0,FR,France +202525,3,23323,18546.0,28100.0,35,28.0,42.0,FR,France +202524,3,23154,18577.0,27731.0,35,28.0,42.0,FR,France +202523,3,24391,19307.0,29475.0,36,28.0,44.0,FR,France +202522,3,18755,14333.0,23177.0,28,21.0,35.0,FR,France +202521,3,23760,18671.0,28849.0,35,27.0,43.0,FR,France +202520,3,20265,15814.0,24716.0,30,23.0,37.0,FR,France +202519,3,16264,12394.0,20134.0,24,18.0,30.0,FR,France +202518,3,18115,13975.0,22255.0,27,21.0,33.0,FR,France 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