diff --git a/module2/exo3/exercice.ipynb b/module2/exo3/exercice.ipynb index 0bbbe371b01e359e381e43239412d77bf53fb1fb..c8c0df7c65496f37e2321c09c397a8b858c9b580 100644 --- a/module2/exo3/exercice.ipynb +++ b/module2/exo3/exercice.ipynb @@ -1,5 +1,91 @@ { - "cells": [], + "cells": [ + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt" + ] + }, + { + "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": [ + "import numpy as np\n", + "\n", + "data = [\n", + "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.figure(figsize=(6,5))\n", + "\n", + "plt.plot(data, color='blue')\n", + "\n", + "plt.xlim(0, 100)\n", + "plt.ylim(0, 25)\n", + "\n", + "plt.grid()\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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SiHi/+HpW0vNqHbqaZNvFscYLxxzPjng+IxMR2xHx64g4L+mfNSH7hu2r1YrZ9yLiuWLzRO4XO61Fmf2ijrhzmoIOtq8t/lAi29dK+oo4mdqLkg4X1w9LemGEcxmpCzEr3KcJ2DdsW9Izkk5FxFMdd03cfnG5tSizX9TyIabibTt/r/ZpCp4Y+qBjyvbvq/VqXWp9Qvj7k7Qetp+VtKTWGf+2JX1b0r9JWpN0s6R3Jd0fEen/0HiZtVhS6z+9Q9JpSQ9eOO6cle0/kfSfkk5IOl9sfkytY80TtV9cYS0Oqc/9gk+oAkBCfEIVABIi7gCQEHEHgISIOwAkRNwBICHiDgAJEXcASIi4A0BCvwGUIciAAW/rCQAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(6,5))\n", + "\n", + "plt.hist(data, bins=10, color='blue', edgecolor='black')\n", + "\n", + "plt.xlim(0, 25)\n", + "plt.ylim(0, 25)\n", + "\n", + "plt.grid()\n", + "\n", + "plt.show()" + ] + } + ], "metadata": { "kernelspec": { "display_name": "Python 3", @@ -16,10 +102,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.3" + "version": "3.6.4" } }, "nbformat": 4, "nbformat_minor": 2 } -