diff --git a/module2/exo3/exercice.ipynb b/module2/exo3/exercice.ipynb index 0bbbe371b01e359e381e43239412d77bf53fb1fb..f1e5bfebaf8716886a8f15f38d128bcccc3b32bc 100644 --- a/module2/exo3/exercice.ipynb +++ b/module2/exo3/exercice.ipynb @@ -1,5 +1,101 @@ { - "cells": [], + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Exercice 02 (3e partie)\n", + "Réaliser un affichage graphique (séquence plot + histogramme) des données de l'exercice précédent." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "a = np.array([14.0, 7.6, 11.2, 12.8, 12.5, 9.9, 14.9, 9.4, 16.9, 10.2, 14.9, 18.1, 7.3, 9.8, 10.9,12.2, 9.9, 2.9, 2.8, 15.4, 15.7, 9.7, 13.1, 13.2, 12.3, 11.7, 16.0, 12.4, 17.9, 12.2, 16.2, 18.7, 8.9, 11.9, 12.1, 14.6, 12.1, 4.7, 3.9, 16.9, 16.8, 11.3, 14.4, 15.7, 14.0, 13.6, 18.0, 13.6, 19.9, 13.7, 17.0, 20.5, 9.9, 12.5, 13.2, 16.1, 13.5, 6.3, 6.4, 17.6, 19.1, 12.8, 15.5, 16.3, 15.2, 14.6, 19.1, 14.4, 21.4, 15.1, 19.6, 21.7, 11.3, 15.0, 14.3, 16.8, 14.0, 6.8, 8.2, 19.9, 20.4, 14.6, 16.4, 18.7, 16.8, 15.8, 20.4, 15.8, 22.4, 16.2, 20.3, 23.4, 12.1, 15.5, 15.4, 18.4, 15.7, 10.2, 8.9, 21.0])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Affichage graphique d'un plot." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "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", + "plt.plot(a, marker='.', color = 'c')\n", + "plt.grid(color = 'red', linestyle = '--', linewidth = 0.2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Affichage graphique d'un histogramme" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.hist(a,color = \"#4CAF50\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], "metadata": { "kernelspec": { "display_name": "Python 3", @@ -16,10 +112,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.3" + "version": "3.6.4" } }, "nbformat": 4, "nbformat_minor": 2 } -