{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "initial_id", "metadata": { "collapsed": true, "ExecuteTime": { "end_time": "2023-11-03T14:40:42.068348908Z", "start_time": "2023-11-03T14:40:41.997684480Z" } }, "outputs": [], "source": [ "import numpy as np" ] }, { "cell_type": "markdown", "source": [ "## Générer des séquences avec Numpy" ], "metadata": { "collapsed": false }, "id": "6d65456282534466" }, { "cell_type": "markdown", "source": [ "### Tableaux de nombres aléatoires" ], "metadata": { "collapsed": false }, "id": "adb17684a78c829f" }, { "cell_type": "code", "execution_count": 6, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[[ 6.35623608 0.72967602 2.5754436 ]\n", " [-2.88764467 -1.78055093 2.04930599]\n", " [ 8.1408593 9.88370176 13.06873958]\n", " [12.10708755 9.83391867 1.11422918]\n", " [ 1.93749749 8.25277919 12.33940067]\n", " [ 9.29587924 10.28278442 7.00934509]\n", " [10.95330272 2.24590563 2.6462974 ]\n", " [ 7.82980317 10.88657225 6.50770094]]\n" ] } ], "source": [ "import numpy as np\n", "normal1 = np.random.normal(scale=5.0, loc=5.0, size=(8, 3)) # loi Gaussienne, 3x3, de 0 à 10.0\n", "print(normal1)" ], "metadata": { "collapsed": false, "ExecuteTime": { "end_time": "2023-11-03T14:44:17.624267987Z", "start_time": "2023-11-03T14:44:17.582546621Z" } }, "id": "7790b82b0805c928" }, { "cell_type": "code", "execution_count": 10, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[1.14733876 4.66776332 0.07763899 0.41786323 4.55656594 2.6577\n", " 0.08228448 0.47885595 7.58314882 0.12093808]\n" ] } ], "source": [ "pareto1 = np.random.pareto(1.0, size=10)\n", "print(pareto1)" ], "metadata": { "collapsed": false, "ExecuteTime": { "end_time": "2023-11-03T15:00:09.010119456Z", "start_time": "2023-11-03T15:00:08.985865113Z" } }, "id": "423db763dfe8266e" }, { "cell_type": "code", "execution_count": null, "outputs": [], "source": [], "metadata": { "collapsed": false }, "id": "9efd8f9a713c156a" } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 2 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython2", "version": "2.7.6" } }, "nbformat": 4, "nbformat_minor": 5 }