{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "hello\n"
     ]
    }
   ],
   "source": [
    "print(\"hello\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1063562d0>]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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+9pI6jz0WQl2kGinUJVWWLoW33oJzz41diUgcCnVJlYcfhmuuUetFqpf2fpHUcIfJk7XX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\nFxFJkf8HguzdtmxAULQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1061f5a90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "x = np.arange(-10, 10, 0.1)\n",
    "y = 1.0 / (1.0 + np.exp(-x))\n",
    "plt.plot(x, y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x1062bb050>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import math\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.animation as animation\n",
    "\n",
    "# 更新する内容\n",
    "def _update_plot(i, fig, im):\n",
    "    rad = math.radians(i)\n",
    "\n",
    "    # 前回のフレーム内容を一旦削除\n",
    "    if len(im) > 0:\n",
    "        im[0].remove()\n",
    "        im.pop()\n",
    "\n",
    "    im.append(plt.scatter(math.cos(rad), math.sin(rad)))\n",
    "\n",
    "fig =  plt.figure()\n",
    "\n",
    "# グラフを中央に表示\n",
    "ax = fig.add_subplot(1,1,1)\n",
    "\n",
    "# グラフの目盛範囲設定\n",
    "ax.set_xlim([-1.5, 1.5])\n",
    "ax.set_ylim([-1.5, 1.5])\n",
    "\n",
    "im = [] # フレーム更新の際に前回のプロットを削除するために用意\n",
    "\n",
    "# アニメーション作成\n",
    "ani = animation.FuncAnimation(fig, _update_plot, fargs = (fig, im), \n",
    "        frames = 360, interval = 1) \n",
    "\n",
    "# 表示\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}