diff --git a/module2/exo2/exercice.ipynb b/module2/exo2/exercice.ipynb index 0bbbe371b01e359e381e43239412d77bf53fb1fb..2d3303720cf504507eb2700b99e52c54a642bde1 100644 --- a/module2/exo2/exercice.ipynb +++ b/module2/exo2/exercice.ipynb @@ -1,5 +1,304 @@ { - "cells": [], + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "from statistics import median\n", + "\n", + "from math import isnan\n", + "\n", + "from itertools import filterfalse" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np " + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "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, 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": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[2.8,\n", + " 2.9,\n", + " 3.9,\n", + " 4.7,\n", + " 6.3,\n", + " 6.4,\n", + " 6.8,\n", + " 7.3,\n", + " 7.6,\n", + " 8.2,\n", + " 8.9,\n", + " 8.9,\n", + " 9.4,\n", + " 9.7,\n", + " 9.8,\n", + " 9.9,\n", + " 9.9,\n", + " 9.9,\n", + " 10.2,\n", + " 10.2,\n", + " 10.9,\n", + " 11.2,\n", + " 11.3,\n", + " 11.3,\n", + " 11.7,\n", + " 11.9,\n", + " 12.1,\n", + " 12.1,\n", + " 12.1,\n", + " 12.2,\n", + " 12.2,\n", + " 12.3,\n", + " 12.4,\n", + " 12.5,\n", + " 12.5,\n", + " 12.8,\n", + " 12.8,\n", + " 13.1,\n", + " 13.2,\n", + " 13.2,\n", + " 13.5,\n", + " 13.6,\n", + " 13.6,\n", + " 13.7,\n", + " 14.0,\n", + " 14.0,\n", + " 14.0,\n", + " 14.3,\n", + " 14.4,\n", + " 14.4,\n", + " 14.6,\n", + " 14.6,\n", + " 14.6,\n", + " 14.9,\n", + " 14.9,\n", + " 15.0,\n", + " 15.1,\n", + " 15.2,\n", + " 15.4,\n", + " 15.4,\n", + " 15.5,\n", + " 15.5,\n", + " 15.7,\n", + " 15.7,\n", + " 15.7,\n", + " 15.8,\n", + " 15.8,\n", + " 16.0,\n", + " 16.1,\n", + " 16.2,\n", + " 16.2,\n", + " 16.3,\n", + " 16.4,\n", + " 16.8,\n", + " 16.8,\n", + " 16.8,\n", + " 16.9,\n", + " 16.9,\n", + " 17.0,\n", + " 17.6,\n", + " 17.9,\n", + " 18.0,\n", + " 18.1,\n", + " 18.4,\n", + " 18.7,\n", + " 18.7,\n", + " 19.1,\n", + " 19.1,\n", + " 19.6,\n", + " 19.9,\n", + " 19.9,\n", + " 20.3,\n", + " 20.4,\n", + " 20.4,\n", + " 20.5,\n", + " 21.0,\n", + " 21.4,\n", + " 21.7,\n", + " 22.4,\n", + " 23.4]" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sorted(data)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "14.5" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "median(data)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'std' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mstd\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mddof\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;31mNameError\u001b[0m: name 'std' is not defined" + ] + } + ], + "source": [ + "std(data,ddof=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "14.113000000000001" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.average(data)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "4.334094455301447" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.std(data,ddof=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "14.5" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.median(data)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "2.8" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.min(data)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "23.4" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.max(data)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], "metadata": { "kernelspec": { "display_name": "Python 3", @@ -16,10 +315,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.3" + "version": "3.6.4" } }, "nbformat": 4, "nbformat_minor": 2 } -