From c504d466c5842665fba95ba304fda6ea9ad7b81d Mon Sep 17 00:00:00 2001 From: 6da35f38ca7ea35c5563555d2f709ff5 <6da35f38ca7ea35c5563555d2f709ff5@app-learninglab.inria.fr> Date: Sun, 6 Feb 2022 14:02:52 +0000 Subject: [PATCH] exo2 --- module2/exo2/exercice.ipynb | 55 +++++++++++++++++++++++++++++++++++-- 1 file changed, 52 insertions(+), 3 deletions(-) diff --git a/module2/exo2/exercice.ipynb b/module2/exo2/exercice.ipynb index 0bbbe37..8aa24e1 100644 --- a/module2/exo2/exercice.ipynb +++ b/module2/exo2/exercice.ipynb @@ -1,5 +1,55 @@ { - "cells": [], + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "hideCode": false + }, + "source": [ + "# Exercice: Doing a simple calculation on your own\n", + "Compute the mean and the standard variation, the minimum, the median, and the maximum of the following data set:" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The mean of D is 14.113000000000001\n", + " The minimun of D is 2.8\n", + " The maximum of D is 23.4\n", + " The median of D is 14.5\n", + " The standard deviation of D is 4.334094455301447\n" + ] + } + ], + "source": [ + "import numpy as np\n", + "D = 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])\n", + "\n", + "print(\"The mean of D is {}\\n \\\n", + " The minimun of D is {}\\n \\\n", + " The maximum of D is {}\\n \\\n", + " The median of D is {}\\n \\\n", + " The standard deviation of D is {}\".format(np.average(D),\n", + " np.min(D),\n", + " np.max(D),\n", + " np.median(D),\n", + " np.std(D, ddof=1)))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], "metadata": { "kernelspec": { "display_name": "Python 3", @@ -16,10 +66,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.3" + "version": "3.6.4" } }, "nbformat": 4, "nbformat_minor": 2 } - -- 2.18.1