diff --git a/module2/exo3/exercice.ipynb b/module2/exo3/exercice.ipynb index 0bbbe371b01e359e381e43239412d77bf53fb1fb..8b2126614a1b85a0e8840b832885c68aeb3af02b 100644 --- a/module2/exo3/exercice.ipynb +++ b/module2/exo3/exercice.ipynb @@ -1,5 +1,124 @@ { - "cells": [], + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Module 2 exercice 3" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Réaliser un affichage graphique" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "x = [14.0, 7.6, 11.2, 12.8, 12.5, 9.9, 14.9, 9.4, 16.9, 10.2, 14.9, 18.1, 7.3, 9.8, 10.9,12.2,\n", + " 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,\n", + " 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,\n", + " 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,\n", + " 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,\n", + " 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,\n", + " 15.7, 10.2, 8.9, 21.0]" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt\n", + "import numpy as np" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "%matplotlib inline\n", + "plt.plot(x)" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(array([ 4., 3., 5., 9., 16., 20., 22., 9., 8., 4.]),\n", + " array([ 2.8 , 4.86, 6.92, 8.98, 11.04, 13.1 , 15.16, 17.22, 19.28,\n", + " 21.34, 23.4 ]),\n", + " )" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "%matplotlib inline\n", + "# binwidth = 2\n", + "# plt.hist(x, bins=np.arange(min(x), max(x) + binwidth, binwidth))\n", + "plt.grid(b= True, which = 'major', axis = 'both', linestyle = '--')\n", + "plt.hist(x, color='b', edgecolor='black')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], "metadata": { "kernelspec": { "display_name": "Python 3", @@ -16,10 +135,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.3" + "version": "3.6.4" } }, "nbformat": 4, "nbformat_minor": 2 } -