{ "cells": [ { "cell_type": "markdown", "metadata": { "toc": "true" }, "source": [ "# Table of Contents\n", "
" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "# ノートブック内にGUIを置く: ipywidgets\n", "\n", "ノートブック内にGUI部品(ウィジェット)を置く機能がいくつか開発されている。\n", "\n", "簡易な利用法のひとつとして interact を紹介し、そのあとEvent Handlerの利用例を示す。" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## ロジスティックマップの描画\n", "\n", "マップの定義と描画部分を関数として作成\n", "マップのパラメータ$a$と繰り返し回数を引数として与える。" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "collapsed": true, "slideshow": { "slide_type": "fragment" } }, "outputs": [], "source": [ "%matplotlib inline\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "\n", "def logisticFunc(xin,a): # definition of the Logistic map\n", " return a*xin*(1-xin)\n", "\n", "def plotLogisticMap(a=3.2, iteration=20):\n", " '''\n", " Plotting package of 1-d maps\n", " args: parameter of map, number of iteration\n", " '''\n", " xn = 0.1 # initial value of the variable\n", " \n", " fig = plt.figure()\n", " axes = fig.add_subplot(1,1,1) # Alternatively you can simply use plt.plot()\n", " # draw y=x and f(x)\n", " x = np.arange(0,1.0,0.01)\n", " axes.plot(x, a*x*(1-x), 'r')\n", " axes.plot(x, x, 'k')\n", " axes.set_xlabel(\"$x_n$\")\n", " axes.set_ylabel(\"$x_{n+1}$\")\n", " axes.set_title(\"a=\" + str(a))\n", " # show map iterations\n", " xnext = logisticFunc(xn,a) \n", " axes.plot([xn,xn],[0,xnext])\n", " for i in range(iteration):\n", " axes.plot([xn,xnext],[xnext,xnext],\"b\")\n", " xn = xnext\n", " xnext = logisticFunc(xn,a)\n", " axes.plot([xn,xn], [xn,xnext],\"b\")" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "関数にパラメータ$a$と繰り返し回数を引数として与えれば描画される" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "slideshow": { "slide_type": "fragment" } }, "outputs": [ { "data": { "image/png": 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OZMCAGrlzPiSPETgUB8HN4ckO8NlnTgfyGdn+qxMRncTEW8yaBdu3w/TpULy4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\nyqRaexMAAAAASUVORK5CYII=\n", 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