From d26442575fdb17ca3b59ab5c5fd5d1be615e27e8 Mon Sep 17 00:00:00 2001 From: 8abc57b047a91925fad597a090b5cf76 <8abc57b047a91925fad597a090b5cf76@app-learninglab.inria.fr> Date: Tue, 3 Feb 2026 16:51:26 +0000 Subject: [PATCH] figures --- module2/exo3/exercice.ipynb | 117 +++++++++++++++++++++++++++++++++++- 1 file changed, 114 insertions(+), 3 deletions(-) diff --git a/module2/exo3/exercice.ipynb b/module2/exo3/exercice.ipynb index 0bbbe37..3565b41 100644 --- a/module2/exo3/exercice.ipynb +++ b/module2/exo3/exercice.ipynb @@ -1,5 +1,117 @@ { - "cells": [], + "cells": [ + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "data = [14.0, 7.6, 11.2, 12.8, 12.5, 9.9, 14.9, 9.4, 16.9, 10.2, 14.9, 18.1, \n", + " 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, \n", + " 11.7, 16.0, 12.4, 17.9, 12.2, 16.2, 18.7, 8.9, 11.9, 12.1, 14.6, 12.1, \n", + " 4.7, 3.9, 16.9, 16.8, 11.3, 14.4, 15.7, 14.0, 13.6, 18.0, 13.6, 19.9, \n", + " 13.7, 17.0, 20.5, 9.9, 12.5, 13.2, 16.1, 13.5, 6.3, 6.4, 17.6, 19.1, \n", + " 12.8, 15.5, 16.3, 15.2, 14.6, 19.1, 14.4, 21.4, 15.1, 19.6, 21.7, 11.3, \n", + " 15.0, 14.3, 16.8, 14.0, 6.8, 8.2, 19.9, 20.4, 14.6, 16.4, 18.7, 16.8, \n", + " 15.8, 20.4, 15.8, 22.4, 16.2, 20.3, 23.4, 12.1, 15.5, 15.4, 18.4, 15.7, \n", + " 10.2, 8.9, 21.0]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "séquence plot" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 22, + "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", + "fig, ax = plt.subplots(1)\n", + "ax.set_axisbelow(True)\n", + "ax.grid(True, linestyle='--')\n", + "ax.plot(data, color='blue')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "histogramme" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(array([ 3., 1., 3., 3., 3., 8., 12., 11., 13., 16., 8., 7., 7.,\n", + " 3., 2.]),\n", + " array([ 2.8 , 4.17333333, 5.54666667, 6.92 , 8.29333333,\n", + " 9.66666667, 11.04 , 12.41333333, 13.78666667, 15.16 ,\n", + " 16.53333333, 17.90666667, 19.28 , 20.65333333, 22.02666667,\n", + " 23.4 ]),\n", + " )" + ] + }, + "execution_count": 23, + "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", + "fig, ax = plt.subplots(1)\n", + "ax.set_axisbelow(True)\n", + "ax.grid(True, linestyle='--')\n", + "ax.hist(data, bins=15, edgecolor=\"black\", color=\"blue\")" + ] + } + ], "metadata": { "kernelspec": { "display_name": "Python 3", @@ -16,10 +128,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.3" + "version": "3.6.4" } }, "nbformat": 4, "nbformat_minor": 2 } - -- 2.18.1