{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Exercice 2" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Initialisation du programme\n", "\n", "Nous initialisons le programme en important le module numpy et en créant le tableau qui va avec." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "\n", "# Déclaration du tableau\n", "\n", "tableau = 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,\n", " 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,\n", " 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,\n", " 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,\n", " 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,\n", " 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,\n", " 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,\n", " 15.4, 18.4, 15.7, 10.2, 8.9, 21.0])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Calcul et affichage des résultats\n", "\n", "Le programme effectue les calculs et affiche les résultats" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Minimum value.......: 2.8\n", "Maximum value.......: 23.4\n", "Average value.......: 14.113000000000001\n", "Median value........: 14.5\n", "Standard deviation..: 4.334094455301447\n" ] } ], "source": [ "print(\"Minimum value.......:\",np.min(tableau))\n", "print(\"Maximum value.......:\",np.max(tableau))\n", "print(\"Average value.......:\",np.mean(tableau))\n", "print(\"Median value........:\",np.median(tableau))\n", "print(\"Standard deviation..:\",np.std(tableau,ddof = 1))" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.4" } }, "nbformat": 4, "nbformat_minor": 2 }