diff --git a/module2/exo2/exercice.ipynb b/module2/exo2/exercice.ipynb index 0bbbe371b01e359e381e43239412d77bf53fb1fb..5a59deaf8a5e1092630cf8af8855ba506da2869b 100644 --- a/module2/exo2/exercice.ipynb +++ b/module2/exo2/exercice.ipynb @@ -1,5 +1,148 @@ { - "cells": [], + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Disposition des données" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "val_array = 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": [ + "Calcul de la moyenne :" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "14.113000000000001\n" + ] + } + ], + "source": [ + "mean_val = np.mean(val_array)\n", + "print(mean_val)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Détermination de la valeur minimale" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2.8\n" + ] + } + ], + "source": [ + "min_val = np.min(val_array)\n", + "print(min_val)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Détermination de la valeur maximale" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "23.4\n" + ] + } + ], + "source": [ + "max_val = np.max(val_array)\n", + "print(max_val)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Calcul de la valeur médiane" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "14.5\n" + ] + } + ], + "source": [ + "median_val = np.median(val_array)\n", + "print(median_val)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Calcul de l'écart-type" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "4.334094455301447\n" + ] + } + ], + "source": [ + "std_val = np.std(val_array, ddof=1)\n", + "print(std_val)" + ] + } + ], "metadata": { "kernelspec": { "display_name": "Python 3", @@ -16,10 +159,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.3" + "version": "3.6.4" } }, "nbformat": 4, "nbformat_minor": 2 } -