{
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  "name": "",
  "signature": "sha256:67b73f8366759bb2837043e5a461a7ce4ff077967115f36e8017eaa1318f1c0f"
 },
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    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from __future__ import division, print_function\n",
      "%matplotlib inline\n",
      "import sys\n",
      "sys.path.insert(0,'..') # allow us to format the book\n",
      "sys.path.insert(0,'../code') \n",
      "# use same formatting as rest of book so that the plots are\n",
      "# consistant with that look and feel.\n",
      "import book_format\n",
      "book_format.load_style(directory='..')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
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        "@import url('http://fonts.googleapis.com/css?family=Source+Code+Pro');\n",
        "@import url('http://fonts.googleapis.com/css?family=Vollkorn');\n",
        "@import url('http://fonts.googleapis.com/css?family=Arimo');\n",
        "\n",
        "    div.cell{\n",
        "        width: 850px;\n",
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        "        margin-right: auto;\n",
        "    }\n",
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        "        background: transparent;\n",
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        "        font-size: 11pt;\n",
        "        font-style: bold;\n",
        "        font-family:  'Source Code Pro', Consolas, monocco, monospace;\n",
        "   }\n",
        "    h1 {\n",
        "        font-family: 'Open sans',verdana,arial,sans-serif;\n",
        "\t}\n",
        "\t\n",
        "    div.input_area {\n",
        "        background: #F6F6F9;\n",
        "        border: 1px solid #586e75;\n",
        "    }\n",
        "\n",
        "    .text_cell_render h1 {\n",
        "        font-weight: 200;\n",
        "        font-size: 30pt;\n",
        "        line-height: 100%;\n",
        "        color:#c76c0c;\n",
        "        margin-bottom: 0.5em;\n",
        "        margin-top: 1em;\n",
        "        display: block;\n",
        "        white-space: wrap;\n",
        "    } \n",
        "    h2 {\n",
        "        font-family: 'Open sans',verdana,arial,sans-serif;\n",
        "    }\n",
        "    .text_cell_render h2 {\n",
        "        font-weight: 200;\n",
        "        font-size: 20pt;\n",
        "        font-style: italic;\n",
        "        line-height: 100%;\n",
        "        color:#c76c0c;\n",
        "        margin-bottom: 0.5em;\n",
        "        margin-top: 1.5em;\n",
        "        display: block;\n",
        "        white-space: nowrap;\n",
        "    } \n",
        "    h3 {\n",
        "        font-family: 'Open sans',verdana,arial,sans-serif;\n",
        "    }\n",
        "    .text_cell_render h3 {\n",
        "        font-weight: 300;\n",
        "        font-size: 18pt;\n",
        "        line-height: 100%;\n",
        "        color:#d77c0c;\n",
        "        margin-bottom: 0.5em;\n",
        "        margin-top: 2em;\n",
        "        display: block;\n",
        "        white-space: nowrap;\n",
        "    }\n",
        "    h4 {\n",
        "        font-family: 'Open sans',verdana,arial,sans-serif;\n",
        "    }\n",
        "    .text_cell_render h4 {\n",
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        "        color:#d77c0c;\n",
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        "        margin-top: 0.5em;\n",
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        "    }\n",
        "    h5 {\n",
        "        font-family: 'Open sans',verdana,arial,sans-serif;\n",
        "    }\n",
        "    .text_cell_render h5 {\n",
        "        font-weight: 300;\n",
        "        font-style: normal;\n",
        "        color: #1d3b84;\n",
        "        font-size: 16pt;\n",
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        "        margin-top: 1.5em;\n",
        "        display: block;\n",
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        "        line-height: 135%;\n",
        "        font-size: 125%;\n",
        "        width:750px;\n",
        "        margin-left:auto;\n",
        "        margin-right:auto;\n",
        "        text-align:justify;\n",
        "        text-justify:inter-word;\n",
        "    }\n",
        "    div.output_subarea.output_text.output_pyout {\n",
        "        overflow-x: auto;\n",
        "        overflow-y: scroll;\n",
        "        max-height: 50000px;\n",
        "    }\n",
        "    div.output_subarea.output_stream.output_stdout.output_text {\n",
        "        overflow-x: auto;\n",
        "        overflow-y: scroll;\n",
        "        max-height: 50000px;\n",
        "    }\n",
        "    code{\n",
        "      font-size: 70%;\n",
        "    }\n",
        "    .rendered_html code{\n",
        "    background-color: transparent;\n",
        "    }\n",
        "    ul{\n",
        "        margin: 2em;\n",
        "    }\n",
        "    ul li{\n",
        "        padding-left: 0.5em; \n",
        "        margin-bottom: 0.5em; \n",
        "        margin-top: 0.5em; \n",
        "    }\n",
        "    ul li li{\n",
        "        padding-left: 0.2em; \n",
        "        margin-bottom: 0.2em; \n",
        "        margin-top: 0.2em; \n",
        "    }\n",
        "    ol{\n",
        "        margin: 2em;\n",
        "    }\n",
        "    ol li{\n",
        "        padding-left: 0.5em; \n",
        "        margin-bottom: 0.5em; \n",
        "        margin-top: 0.5em; \n",
        "    }\n",
        "    ul li{\n",
        "        padding-left: 0.5em; \n",
        "        margin-bottom: 0.5em; \n",
        "        margin-top: 0.2em; \n",
        "    }\n",
        "    a:link{\n",
        "       font-weight: bold;\n",
        "       color:#447adb;\n",
        "    }\n",
        "    a:visited{\n",
        "       font-weight: bold;\n",
        "       color: #1d3b84;\n",
        "    }\n",
        "    a:hover{\n",
        "       font-weight: bold;\n",
        "       color: #1d3b84;\n",
        "    }\n",
        "    a:focus{\n",
        "       font-weight: bold;\n",
        "       color:#447adb;\n",
        "    }\n",
        "    a:active{\n",
        "       font-weight: bold;\n",
        "       color:#447adb;\n",
        "    }\n",
        "    .rendered_html :link {\n",
        "       text-decoration: underline; \n",
        "    }\n",
        "    .rendered_html :hover {\n",
        "       text-decoration: none; \n",
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        "    .rendered_html :visited {\n",
        "      text-decoration: none;\n",
        "    }\n",
        "    .rendered_html :focus {\n",
        "      text-decoration: none;\n",
        "    }\n",
        "    .rendered_html :active {\n",
        "      text-decoration: none;\n",
        "    }\n",
        "    .warning{\n",
        "        color: rgb( 240, 20, 20 )\n",
        "    } \n",
        "    hr {\n",
        "      color: #f3f3f3;\n",
        "      background-color: #f3f3f3;\n",
        "      height: 1px;\n",
        "    }\n",
        "    blockquote{\n",
        "      display:block;\n",
        "      background: #fcfcfc;\n",
        "      border-left: 5px solid #c76c0c;\n",
        "      font-family: 'Open sans',verdana,arial,sans-serif;\n",
        "      width:680px;\n",
        "      padding: 10px 10px 10px 10px;\n",
        "      text-align:justify;\n",
        "      text-justify:inter-word;\n",
        "      }\n",
        "      blockquote p {\n",
        "        margin-bottom: 0;\n",
        "        line-height: 125%;\n",
        "        font-size: 100%;\n",
        "      }\n",
        "</style>\n",
        "<script>\n",
        "    MathJax.Hub.Config({\n",
        "                        TeX: {\n",
        "                           extensions: [\"AMSmath.js\"]\n",
        "                           },\n",
        "                tex2jax: {\n",
        "                    inlineMath: [ ['$','$'], [\"\\\\(\",\"\\\\)\"] ],\n",
        "                    displayMath: [ ['$$','$$'], [\"\\\\[\",\"\\\\]\"] ]\n",
        "                },\n",
        "                displayAlign: 'center', // Change this to 'center' to center equations.\n",
        "                \"HTML-CSS\": {\n",
        "                    styles: {'.MathJax_Display': {\"margin\": 4}}\n",
        "                }\n",
        "        });\n",
        "</script>\n"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 3,
       "text": [
        "<IPython.core.display.HTML at 0x7fc8b024ce80>"
       ]
      }
     ],
     "prompt_number": 3
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import numpy as np\n",
      "import matplotlib.pyplot as plt\n",
      "from gif_animate import animate\n",
      "from stats import gaussian\n",
      "\n",
      "def plt_g (mu, variance):\n",
      "    xs = np.arange(2,8,0.05)\n",
      "    ys = [gaussian (x, mu, variance) for x in xs]\n",
      "    plt.plot (xs, ys)\n",
      "    plt.ylim((0,1))\n",
      "\n",
      "\n",
      "mu = 2\n",
      "sigma = 0.6\n",
      "def ganimate(frame):\n",
      "    global mu, sigma\n",
      "    if frame < 25:\n",
      "        mu += .2\n",
      "    elif frame == 25:\n",
      "        mu = 5\n",
      "    elif frame < 37:\n",
      "        sigma -= 0.05\n",
      "    else:\n",
      "        sigma += 0.05\n",
      "        \n",
      "    plt.cla()\n",
      "    plt_g(mu,sigma)\n",
      "\n",
      "animate('04_gaussian_animate.gif', ganimate, frames=80, interval=50)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
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pN4NTW1Gv09PVw5Tg2Qj0noDvkjcg+7ZLpLU3q7Fp7z+QlpuAuVHPwNay/Zkj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\nRU5ErkJggg==\n",
       "text": [
        "<matplotlib.figure.Figure at 0x7fc8aff6f9e8>"
       ]
      }
     ],
     "prompt_number": 4
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 2
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "<img src='04_gaussian_animate.gif'>"
     ]
    }
   ],
   "metadata": {}
  }
 ]
}