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  {
   "cells": [
    {
     "cell_type": "heading",
     "level": 1,
     "metadata": {},
     "source": [
      "IPython's Rich Display System"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "In Python, objects can declare their textual representation using the `__repr__` method.  IPython expands on this idea and allows objects to declare other, richer representations including:\n",
      "\n",
      "* HTML\n",
      "* JSON\n",
      "* PNG\n",
      "* JPEG\n",
      "* SVG\n",
      "* LaTeX\n",
      "\n",
      "A single object can declare some or all of these representations; all are handled by IPython's *display system*. This Notebook shows how you can use this display system to incorporate a broad range of content into your Notebooks."
     ]
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Basic display imports"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "The `display` function is a general purpose tool for displaying different representations of objects. Think of it as `print` for these rich representations."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from IPython.display import display"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 1
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "A few points:\n",
      "\n",
      "* Calling `display` on an object will send **all** possible representations to the Notebook.\n",
      "* These representations are stored in the Notebook document.\n",
      "* In general the Notebook will use the richest available representation.\n",
      "\n",
      "If you want to display a particular representation, there are specific functions for that:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from IPython.display import display_pretty, display_html, display_jpeg, display_png, display_json, display_latex, display_svg"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 2
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Images"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "To work with images (JPEG, PNG) use the `Image` class."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from IPython.display import Image"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 3
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "i = Image(filename='images/logo.png')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 6
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Returning an `Image` object from an expression will automatically display it:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "i"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
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L0amUWggcqrXO8gg2FKHG2CdW4Uem9XvBlUflu7RUaiByU3lPa92ZKN8cSav8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\nHMRRca/E5hVINNIVwI2B56z6/3ExLRI31pXNAAAAAElFTkSuQmCC\n",
       "prompt_number": 7,
       "text": [
        "<IPython.core.display.Image at 0x106f6e410>"
       ]
      }
     ],
     "prompt_number": 7
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Or you can pass it to `display`:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "display(i)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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       "text": [
        "<IPython.core.display.Image at 0x106f6e410>"
       ]
      }
     ],
     "prompt_number": 8
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "An image can also be displayed from raw data or a url"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "Image(url='http://python.org/images/python-logo.gif')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<img src=\"http://python.org/images/python-logo.gif\"/>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 9,
       "text": [
        "<IPython.core.display.Image at 0x106f6edd0>"
       ]
      }
     ],
     "prompt_number": 9
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "SVG images are also supported out of the box (since modern browsers do a good job of rendering them):"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from IPython.display import SVG\n",
      "SVG(filename='images/python-logo.svg')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 11,
       "svg": [
        "<svg height=\"115.02pt\" id=\"svg2\" inkscape:version=\"0.43\" sodipodi:docbase=\"/home/sdeibel\" sodipodi:docname=\"logo-python-generic.svg\" sodipodi:version=\"0.32\" version=\"1.0\" width=\"388.84pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:cc=\"http://web.resource.org/cc/\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:inkscape=\"http://www.inkscape.org/namespaces/inkscape\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\" xmlns:sodipodi=\"http://inkscape.sourceforge.net/DTD/sodipodi-0.dtd\" xmlns:svg=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n",
        "  <metadata id=\"metadata2193\">\n",
        "    <rdf:RDF>\n",
        "      <cc:Work rdf:about=\"\">\n",
        "        <dc:format>image/svg+xml</dc:format>\n",
        "        <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n",
        "      </cc:Work>\n",
        "    </rdf:RDF>\n",
        "  </metadata>\n",
        "  <sodipodi:namedview bordercolor=\"#666666\" borderopacity=\"1.0\" id=\"base\" inkscape:current-layer=\"svg2\" inkscape:cx=\"243.02499\" inkscape:cy=\"71.887497\" inkscape:pageopacity=\"0.0\" inkscape:pageshadow=\"2\" inkscape:window-height=\"543\" inkscape:window-width=\"791\" inkscape:window-x=\"0\" inkscape:window-y=\"0\" inkscape:zoom=\"1.4340089\" pagecolor=\"#ffffff\"/>\n",
        "  <defs id=\"defs4\">\n",
        "    <linearGradient id=\"linearGradient2795\">\n",
        "      <stop id=\"stop2797\" offset=\"0\" style=\"stop-color:#b8b8b8;stop-opacity:0.49803922\"/>\n",
        "      <stop id=\"stop2799\" offset=\"1\" style=\"stop-color:#7f7f7f;stop-opacity:0\"/>\n",
        "    </linearGradient>\n",
        "    <linearGradient id=\"linearGradient2787\">\n",
        "      <stop id=\"stop2789\" offset=\"0\" style=\"stop-color:#7f7f7f;stop-opacity:0.5\"/>\n",
        "      <stop id=\"stop2791\" offset=\"1\" style=\"stop-color:#7f7f7f;stop-opacity:0\"/>\n",
        "    </linearGradient>\n",
        "    <linearGradient id=\"linearGradient3676\">\n",
        "      <stop id=\"stop3678\" offset=\"0\" style=\"stop-color:#b2b2b2;stop-opacity:0.5\"/>\n",
        "      <stop id=\"stop3680\" offset=\"1\" style=\"stop-color:#b3b3b3;stop-opacity:0\"/>\n",
        "    </linearGradient>\n",
        "    <linearGradient id=\"linearGradient3236\">\n",
        "      <stop id=\"stop3244\" offset=\"0\" style=\"stop-color:#f4f4f4;stop-opacity:1\"/>\n",
        "      <stop id=\"stop3240\" offset=\"1\" style=\"stop-color:#ffffff;stop-opacity:1\"/>\n",
        "    </linearGradient>\n",
        "    <linearGradient id=\"linearGradient4671\">\n",
        "      <stop id=\"stop4673\" offset=\"0\" style=\"stop-color:#ffd43b;stop-opacity:1\"/>\n",
        "      <stop id=\"stop4675\" offset=\"1\" style=\"stop-color:#ffe873;stop-opacity:1\"/>\n",
        "    </linearGradient>\n",
        "    <linearGradient id=\"linearGradient4689\">\n",
        "      <stop id=\"stop4691\" offset=\"0\" style=\"stop-color:#5a9fd4;stop-opacity:1\"/>\n",
        "      <stop id=\"stop4693\" offset=\"1\" style=\"stop-color:#306998;stop-opacity:1\"/>\n",
        "    </linearGradient>\n",
        "    <linearGradient gradientTransform=\"translate(100.2702,99.61116)\" gradientUnits=\"userSpaceOnUse\" id=\"linearGradient2987\" x1=\"224.23996\" x2=\"-65.308502\" xlink:href=\"#linearGradient4671\" y1=\"144.75717\" y2=\"144.75717\"/>\n",
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        "  </g>\n",
        "</svg>"
       ],
       "text": [
        "<IPython.core.display.SVG at 0x106f6e850>"
       ]
      }
     ],
     "prompt_number": 11
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Links to local files"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "If we want to create a link to one of them, we can call use the `FileLink` object."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from IPython.display import FileLink, FileLinks\n",
      "FileLink('Running Code.ipynb')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<a href='Running Code.ipynb' target='_blank'>Running Code.ipynb</a><br>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 12,
       "text": [
        "/Users/bgranger/Documents/Computing/IPython/code/ipython/examples/Notebook/Tutorials/Running Code.ipynb"
       ]
      }
     ],
     "prompt_number": 12
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Alternatively, if we want to link to all of the files in a directory, we can use the `FileLinks` object, passing `'.'` to indicate that we want links generated for the current working directory. Note that if there were other directories under the current directory, `FileLinks` would work in a recursive manner creating links to files in all sub-directories as well."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "FileLinks('.')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "./<br>\n",
        "&nbsp;&nbsp;<a href='./Basic Output.ipynb' target='_blank'>Basic Output.ipynb</a><br>\n",
        "&nbsp;&nbsp;<a href='./Custom Display Logic.ipynb' target='_blank'>Custom Display Logic.ipynb</a><br>\n",
        "&nbsp;&nbsp;<a href='./Display System.ipynb' target='_blank'>Display System.ipynb</a><br>\n",
        "&nbsp;&nbsp;<a href='./Markdown Cells.ipynb' target='_blank'>Markdown Cells.ipynb</a><br>\n",
        "&nbsp;&nbsp;<a href='./Plotting with Matplotlib.ipynb' target='_blank'>Plotting with Matplotlib.ipynb</a><br>\n",
        "&nbsp;&nbsp;<a href='./Running Code.ipynb' target='_blank'>Running Code.ipynb</a><br>\n",
        "&nbsp;&nbsp;<a href='./Typesetting Math Using MathJax.ipynb' target='_blank'>Typesetting Math Using MathJax.ipynb</a><br>\n",
        "&nbsp;&nbsp;<a href='./User Interface.ipynb' target='_blank'>User Interface.ipynb</a><br>\n",
        "./images/<br>\n",
        "&nbsp;&nbsp;<a href='./images/animation.m4v' target='_blank'>animation.m4v</a><br>\n",
        "&nbsp;&nbsp;<a href='./images/command_mode.png' target='_blank'>command_mode.png</a><br>\n",
        "&nbsp;&nbsp;<a href='./images/edit_mode.png' target='_blank'>edit_mode.png</a><br>\n",
        "&nbsp;&nbsp;<a href='./images/logo.png' target='_blank'>logo.png</a><br>\n",
        "&nbsp;&nbsp;<a href='./images/menubar_toolbar.png' target='_blank'>menubar_toolbar.png</a><br>\n",
        "&nbsp;&nbsp;<a href='./images/python-logo.svg' target='_blank'>python-logo.svg</a><br>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 14,
       "text": [
        "./\n",
        "  Basic Output.ipynb\n",
        "  Custom Display Logic.ipynb\n",
        "  Display System.ipynb\n",
        "  Markdown Cells.ipynb\n",
        "  Plotting with Matplotlib.ipynb\n",
        "  Running Code.ipynb\n",
        "  Typesetting Math Using MathJax.ipynb\n",
        "  User Interface.ipynb\n",
        "./images/\n",
        "  animation.m4v\n",
        "  command_mode.png\n",
        "  edit_mode.png\n",
        "  logo.png\n",
        "  menubar_toolbar.png\n",
        "  python-logo.svg"
       ]
      }
     ],
     "prompt_number": 14
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "Embedded vs Non-embedded Images"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "By default, image data is embedded in the Notebook document so that the images can be viewed offline. However it is also possible to tell the `Image` class to only store a *link* to the image. Let's see how this works using a webcam at Berkeley."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from IPython.display import Image\n",
      "img_url = 'http://www.lawrencehallofscience.org/static/scienceview/scienceview.berkeley.edu/html/view/view_assets/images/newview.jpg'\n",
      "\n",
      "# by default Image data are embedded\n",
      "Embed      = Image(img_url)\n",
      "\n",
      "# if kwarg `url` is given, the embedding is assumed to be false\n",
      "SoftLinked = Image(url=img_url)\n",
      "\n",
      "# In each case, embed can be specified explicitly with the `embed` kwarg\n",
      "# ForceEmbed = Image(url=img_url, embed=True)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 15
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Here is the embedded version. Note that this image was pulled from the webcam when this code cell was originally run and stored in the Notebook. Unless we rerun this cell, this is not todays image."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "Embed"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
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7KWykgFPalszWrIbso7KrAGygUpCwFKbs9qiAUNNK+2KiBs88U0rU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jEVSuRsdHdEaXrd/NaadaX0ht4TJI1sjTSDvj5VBO3JAz3FUdUuItJ6hm6ehd2WOBVMKbgfFJH3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\n/tXQwXkcCG1kf5M7CSNxUgdxx25zXDKvBeT/2Q==\n",
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 16,
       "text": [
        "<IPython.core.display.Image at 0x1069570d0>"
       ]
      }
     ],
     "prompt_number": 16
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Here is today's image from same webcam at Berkeley, (refreshed every minutes, if you reload the notebook), visible only with an active internet connection, that should be different from the previous one. Notebooks saved with this kind of image will be lighter and always reflect the current version of the source, but the image won't display offline."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "SoftLinked"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<img src=\"http://www.lawrencehallofscience.org/static/scienceview/scienceview.berkeley.edu/html/view/view_assets/images/newview.jpg\"/>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 17,
       "text": [
        "<IPython.core.display.Image at 0x106fd9110>"
       ]
      }
     ],
     "prompt_number": 17
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Of course, if you re-run this Notebook, the two images will be the same again."
     ]
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Audio"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "IPython makes it easy to work with sounds interactively. The `Audio` display class allows you to create an audio control that is embedded in the Notebook. The interface is analogous to the interface of the `Image` display class. All audio formats supported by the browser can be used. Note that no single format is presently supported in all browsers."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from IPython.display import Audio\n",
      "Audio(url=\"http://www.nch.com.au/acm/8k16bitpcm.wav\")"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "\n",
        "                <audio controls=\"controls\" >\n",
        "                    <source src=\"http://www.nch.com.au/acm/8k16bitpcm.wav\" type=\"audio/x-wav\" />\n",
        "                    Your browser does not support the audio element.\n",
        "                </audio>\n",
        "              "
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 18,
       "text": [
        "<IPython.lib.display.Audio at 0x107056e50>"
       ]
      }
     ],
     "prompt_number": 18
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "A Numpy array can be auralized automatically. The Audio class normalizes and encodes the data and embed the result in the Notebook.\n",
      "\n",
      "For instance, when two sine waves with almost the same frequency are superimposed a phenomena known as [beats](https://en.wikipedia.org/wiki/Beat_%28acoustics%29) occur. This can be auralised as follows"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import numpy as np\n",
      "max_time = 3\n",
      "f1 = 220.0\n",
      "f2 = 224.0\n",
      "rate = 8000.0\n",
      "L = 3\n",
      "times = np.linspace(0,L,rate*L)\n",
      "signal = np.sin(2*np.pi*f1*times) + np.sin(2*np.pi*f2*times)\n",
      "\n",
      "Audio(data=signal, rate=rate)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "\n",
        "                <audio controls=\"controls\" >\n",
        "                    <source 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\" type=\"audio/wav\" />\n",
        "                    Your browser does not support the audio element.\n",
        "                </audio>\n",
        "              "
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 19,
       "text": [
        "<IPython.lib.display.Audio at 0x107087e10>"
       ]
      }
     ],
     "prompt_number": 19
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Video"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "More exotic objects can also be displayed, as long as their representation supports the IPython display protocol.  For example, videos hosted externally on YouTube are easy to load (and writing a similar wrapper for other hosted content is trivial):"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from IPython.display import YouTubeVideo\n",
      "# a talk about IPython at Sage Days at U. Washington, Seattle.\n",
      "# Video credit: William Stein.\n",
      "YouTubeVideo('1j_HxD4iLn8')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "\n",
        "        <iframe\n",
        "            width=\"400\"\n",
        "            height=300\"\n",
        "            src=\"https://www.youtube.com/embed/1j_HxD4iLn8\"\n",
        "            frameborder=\"0\"\n",
        "            allowfullscreen\n",
        "        ></iframe>\n",
        "        "
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 20,
       "text": [
        "<IPython.lib.display.YouTubeVideo at 0x107087310>"
       ]
      }
     ],
     "prompt_number": 20
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Using the nascent video capabilities of modern browsers, you may also be able to display local\n",
      "videos.  At the moment this doesn't work very well in all browsers, so it may or may not work for you;\n",
      "we will continue testing this and looking for ways to make it more robust.  \n",
      "\n",
      "The following cell loads a local file called  `animation.m4v`, encodes the raw video as base64 for http\n",
      "transport, and uses the HTML5 video tag to load it. On Chrome 15 it works correctly, displaying a control\n",
      "bar at the bottom with a play/pause button and a location slider."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from IPython.display import HTML\n",
      "from base64 import b64encode\n",
      "video = open(\"images/animation.m4v\", \"rb\").read()\n",
      "video_encoded = b64encode(video).decode('ascii')\n",
      "video_tag = '<video controls alt=\"test\" src=\"data:video/x-m4v;base64,{0}\">'.format(video_encoded)\n",
      "HTML(data=video_tag)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<video controls alt=\"test\" 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MbNliI3Tj1L6+MKTmilVialmyZagRtEMeKRdtxUPd3vVEtrOBVIVYWdgAGA7HmZiHQUQNxLkWxbLyWVlrh5EM0Do2NdbclHxxArz90d+MSVeUOIXQ/4V9quq8C8qVflo1gPtPMkjO2/UrdOYqhY404ReObOu/fdp4hAEDq6jhy64vOeT7XUK/Onq0rXTldtA6kvgQaJg+mgYSR9hfXtMbOUSLgLj/RmBSO8aAMHuJJZqf1tCM5pZ9eYUsrHmy+/z2NGalon0//uF6+33bQzT/RLRfBbYTjy9QrJqHLlw46lggWPGkHuPKSqk/CB7U4pNPXUbR0DdcJy9Db00wCzVzxVc6h7jfCFgiL2Y0HVqd6bgIaVUqn/gJCEyCDVplnzebv0gg3XwMJAGu639lHu7rEvxTp1smIYjWp9R5L4SspVvS07Nb+Smk1FgsMp1K3EMUT8X2Fty4VG54/Ec6bE8tNVw4/QV1VzBw7Px2/2eEhhUS+FMfbHAlD28x00jRgAAACW0GaQjwhkymEVwArOUkEOhoFqiELtH8wgecFLiUq6WqmwAP7iGEwbYzfnHacfqUNXAfD+CGR2ap0lAHL25ipuYtd5j2O0PU/MpaWPG/n2y5OkfTzaOpotaR5tWjN55B2XblVVqsFfBC/mvsiPvCBWUHFChacdY5whj5mP5rqQ0dqLJCsWjrs4TWnIbL2V/Iwfj3hwI35jfo1JkTOeR+8GhOdma9rgiKWafCbQyhYMTDmVdvhND60Flm97EDSTjF0OC+0gD9b8Yn4tNeHipCa/aWyt0n79bMmjfcjntBCPjrcB5ecRTpfGHbEHy1IRj2cjkGXKC+VYoYJXBp4rd4cMd8ygLCk5nBSd8/cTaKNRjdBscOeTXG6QEjSxj9/2pVwx9DMRVtWQR0BSaAcQcZ8W2KPSaeRC4QwmNMu2xx25CSyrDiq2rFSK/JJtmvoIjAKq0ciEXoOgw+Ke+Ylb7ULKCS3k1p/613UNRp450uSq5b7CAHo7S0b7fBMLfNmwSjRYEhLlo0HUaRe/I+IX2Z6XdZH9Hty/399ZA1PwZGC6EfvUJIf7CBeaxv7cu6IT2/s0zPRGthpvXpYw6A7P4Wwz5C4V98KnIUNUanadqabKP6eXWhvbvcQHxAjiOOiKZgXZplZW2g+B2NNyJSLiR+g48DqvWR6t9S2aGfFjdOW1Gi6oTtZ1d4p5XIslAr8mryeZ6+htSSQe4AcfVt7k+V6mOthBCYtr/LEU4ZHtl0mW9876PK8mRFAaT8DJOUFVz1lPfzRApuPggkkyq+UMvyfKTUbCk7/DpfX8Y4s4QAAAg9BmmNJ4Q8mUwIr/wAsWUPjZw3ksgRsxZ6n4fQjprPbkj2aUh30y0bZJnLmiXnWskvOGnCPwBnG9dEhatwX3hoxk7BNyG+wQ4emZUpcVzcWl2T9nKQB1euucuZWHTg7TCtM/iHyfPO2vbmGsfzs70b/egIbywUH4y4BQSL1nWc1SmpHm2zHMBcUjYLDZ5gL5vdfxn0V8FFw66G88c/LN4I5icUa7xf4fcSBKywU0ajbp1P+aJYjBgWT6Ggu0MDLDNl54tfqd42lKosQtM1aif4WXAZFP5Ww3vrQ1rH9+utSYxqZd6N6gGtNbSNMcViaKn5LcnjsbBi3T3EmGqshEbcme8VHKwR3kSfBOAprrIsv6K8R+X6az+MD23rWka/2v64m1qM69D7Xa+Kcs/n0KLCJdTilyaGadopLeaAn3eYvWTeHcucMM1Fp1KgHD1tiFeO6HvobLkZlRximsA3/7MiohYklLIcJrZL22BH+6W9d6kZsYIsej9RM681nU6mWNjepBAfAfTbrGRrVB/h2DxC5B8YyRjgSIzQjNYrse0rzChqbrsLl7mQ7W+1bsNKze5//9ZIa8rSsF+BXh/vgoRTDkPW/ws95B7VPCZEFChfX0icw+tpcpN/q7NY87tUn4vESdSiMMlyhKklMjQu/G51J69ZRQLs2oUO6YfoJFqliy4qCFCrf8SZE9Fc6DcCagAAAAodBmoRJ4Q8mUwIr/wArPWF/KOw78THwadfPqhJO0CnmR/M74/XYZLqVYKlNcEaYauf+vrRUDJPmu75sMKy2Y+Bnslc/iAISSyWtw/h/3CF8fE5ZrbrwSNst+MSyCoNWP+8imtoX2eyojpdCk8YP5K+cbK4SJPCkZXbYqSXYk7hO8AdSemBHgXKWiZ+UOr802aJo+98ZOIjX9hWL9bo31Gqx7cy4ZG+W/ar/WGlzDa1xPWnPRsEdrIcZlEVGV/jGmbirkxw1lyUYoqj8Vv7Bxube9XPQlBkXOV6Lc1LT2IzNq0V7WwVhF0kA6yxfAsFxc9krNEH8vGGntTWI608ovjatXc/CKKXw7AjJSftlTcLI0hIIGXbRUr0NCYNp7M4cVd/n73Rjetnixz4SAKpcz/P47UsijZG7T3SxzK2D79WS42aEalc12hQwCZ01LfmF/H2mmGEvOzPBie1D0YT7Jh19vxa4Dd3SQ1FrDfmSUpvv4DjbYcZ2PrPpFpWtMjWqHBeoyMiZf6RP3EfYR6z9jsVNIIHxM0bzzBQF8eeYkPgDySydxPXv9Izo+QUY94N8kWi16fI6eZSDc1G0Yo0L91jcRQuDMGGS7B2zuf/0GbJyRhUO48UbMrqnILMrbQg1LF00Q3pH9nbGEK/RRQpRN3T/J/4IZQjwW2Ft2ipWGztg1Jn9I4DmffKS60QC+JQcyakdVON6zDcKttIKlqeTcmAi4xzmo4QXa2dRKleS+fs3EtTdBBtony2wK9T2Imj+NCziOSEL7Q7VuIU8kclUHrJJsSneFcxGRgIgGGUEQM8/pklwTOqab7mMmJeRiaBrjJDEnDpkR4Vz3qXxgyn4/5x24FuTMNVPwQAAAhtBmqVJ4Q8mUwIr/wApcLwPT0/Xh9UdWqWXIs8Wbj5K1hivmN6qIQnq+aolcegdlM/63MbHsdC6xYZC1e/Q8UjQCt9N/Ejqwms8DzeWv2qxskeliZH0kt1QWkErWSEodq7V0ZNksctLkMGWayX33gBT368EehfIeGDolBZoqIbJfb4nqcfU+ev4OzVv9zVqWyLck315GFmXxQKIM8pICQc8Q5es34LH1+DmnMnW8kQpVGrztQcDXhjCU3F0fOgoSsXSVWCjc6XKqGbCwQDfJUxCfXfIT6YmQoPpVp1mpGy1wQypXus9z0bScDpyDu23hViYDntdj1O45ea0znKZkj1+tLHbBtqAGJ1WTcbGlF6Vya6hQhEsiiZUIC2fRxIj8/wEXCICIbr0gZ/m6gcOhE10tenvE7iy+BKY81wLWrnzos3S6FWxYtmCRes+LLhNGOKWRuQo6SyePH2OZ90xZm8oA1MuTe3V59euVNxjAt0FLkAc9TEiFhP/8CB+gA8mF+A8h1U01f4DVX55GzCH51jHI2xUS0L9GtsHoBxLPLK/NNel8zcnwG4X+UusfcfEb5hh+ffnXteCE9vRGbs2n9wYW0xA3ZicklfadmWKUtMiHYBfkMSULWnkBQr4CXxjpYOs6ygeEoA5+5B0B1SZObgZ42wWqddyyYE0NfwQAl75tfdJGqOa7OMHwBYNeatJaJK0zT2+bFaw2qWCWwAAAitBmsZJ4Q8mUwIr/wAstkdsayRXchoFk703izqzduZ5WsyXriI9cfUdMUWvm0iGHwYIrUujvz3Yjou+JLwv9df2kt7MJo8u+3P5CjEKbwlz4vkE5AHTAbgXn3+Xc/MMJLgW5cm7iX3KiGNnBpbphhwJRlb3u91NRDr0d1IR2up/z7lKxE7XPAPFe0siPMYVlIqWNSn5KqLABPeuxxbOsvMEb27/nH1LUVM8I2F95c1I3Lv1SpkhZXjs1JsmS9X7gsoTxkXyShGC2+zRJSGUbhCPo/q1XSFMHQyMWJ79FKPQSL/RpVsacN2bYwdKo4TFBw1SsKq/L1iOmqMI+4Gxnbbjojdk0ek0JIcDb4bHv1czxchF7FX1Ym8H6IpPuE8CeNKjzQ1a1wqhEu+wl1N0x3Y37ZryCCKJRkxj0FT7bOoH3L38/yMUuh/v3aCmxY4eCkykb2p6ZrYMFE044anM/nMjmbErMibfRFuCz58Io1rBlF7JfkIz0R2/5vjUMVskcdbX2mm7DntncOsWDIdg/XVmgsC9CzVzUyq4VsS/sk97lJggcddpWLNw/29egz8iLyzWHOAXCvl2fTIPkviYAOQXfVhZUQdxsyJUNFMTiALrZCmoQLMp2LmDbfbW8JQriDeR3fVz6P1sjT8C2yEDvzkCn7sh0aTBK+sx7BKH1nb4320+caQepQj4TCJtCeNXjdrVcNEnjvwlcRJwFT1pT+Y7HREbHnT71XYNh4EAAAGEQZrnSeEPJlMCK/8AKIjxcI58rm/ML255fOJW1zbznFna7lfgMQrka7OTPPsvVAV4EJXye/Uxiu9dlftmRypJqfDot3xwDe8lX/qAVf6pBkSlUsaLyBYtww/SUSa1bGl1JvrJCN7FXCCXbLd5R4PoYlPiDIm/DQH2puO0StIWmrR77Isc/J1pRvdu5+mQa/n0SEHUeM2KkoRzCznfD9zaaRO7BDtvC9SYIT0uYZxrwTjxQ7N7UERTrYG0P+vRLAhxkfohFIYl3HXyjPOvnlbUFP2oiiy6nkUFuaIyQcJawJv3GU8k4ObcKsC1cNDXjSpsyQRrxLFaCCjke4mikyt7vs0iN0bnrNWv9HXruG9zOFEOer1ggIFTsT1Eos5CXRkgja5HN4QUM6MhWpc5du/HgBIH8ANFcoo2kJpqcadw9r/0qk25X91MQSDJQiH8Hny2dQhqR+LFWEawiW753SJhn0ngZcv/mPj3mwcHv1SL9ErBqAjm4JGiDetPKYtFwANYY11OyQAAAVdBmwhJ4Q8mUwIr/wArOx5HV2505jRePGgMxptW4PGIHEszV1xGZS+flSkF+aq30AaqO7u6XK9jJsuWXTfYCRQTn1bZfFQ22DbO5DXAxK/TUmbQleCflFzeS6/czxkL4PJ8AwOs2U+oehekgCZC8gZyHHaQSaKbNJ46gTjNsLy84ACQ5uNt11TPuCPqPTuh+schdw9S+/lU/6m+EyaqGZ49wDFPiBFBYXglQQBjyP9k/rqq0xL7SiLjpe4riYg8SFUuUtOzPdWHyvxnI7Ug/0VLPGAAhgMISUnqe01d5QFf36yHpwMAHexjAZFIGQHAFautuMuEw6HzUZVzNdeHYxvEYOGkTo007bLwbuf/nxzrywGOxlRTYJLRdYI0mk0SdN3+LeTv1RIJwv21+e9rT5iFOTCgzeQoekEWXLYz0X8YLq5bVCtijP7/T7w1Ck71j0aqfrEn6wtIAAABNUGbKUnhDyZTAiv/ACcySi7VBgOid6qZNXvhh/JsllHkMLLq0yNbQTqv/Wk2EBoSKICZwFwAD0WRzhvvReCGirep1Fe4bxjm49/UR+OYrXRmHR18T0C83AUVeBk7KvDZmb/eHzuzEN4yfXucr/NWFJl+USVMY4r4UQ9CayrfEY9v6AQ6mzAdLy2UMfFxrRJ99g/Rfl8qx+m4jIZNjlrTaThzJ/3OpVmAliDfxVyg8+CVIlI31IykiwQrXcebgajG+av8XU1SfyAG5ibvwbtdSAxkGBcJWL387V+uTdY56w3KN2vBtoQpVKD2zb3yazIcATZ02upwIytNcM/rpaLCdMb1myWcikE25agzLhDhOS+4zwjYz2DnW6VY0gFBAPsphhsUMnauVVdUVHzCTSdvzEve/H8q4AAAAVdBm0pJ4Q8mUwIr/wAo+x5XKuiN1am7SkJKSMonFZDPU3f5XFcDQSs0FLVq2idfsKwuIkt1mxIq8NgMHpzofTnDHqs/WedvAmhBgL0N5azdQa5MNKG2rJ4IAvGQY/uFm3jKQAKzvhSS01gO1oIfizF817z9IShS4QK2WT0PeFPELqLSpED8eNOpVTR96vmwpk/WBKRVJdTQJzjiCQ5pgEwjtvk7KqoS0+lwXSbvIrXkYm8DignEts3DLNoLHrPjXlQmbIop76JZSyJEtB+91GrLwo6Km5GeebyA2E6qGL3xSkpppej/ruoFprSKrH60UMbrq/SK7eCo+1QFoySPQmqDFsMGiQFqvtld5BXDYdVI4yRaoyN7Y7wi83HRC6eVazuHU9OtIY3xJJApBWq1aJOsYwc38aTC3ee863Aa/4n9Lk4DAtyFYHNZjB5m2e2vk8G2Gny9YFlBAAABQEGba0nhDyZTAiv/ACoZSZQfHxhfQxEqOBQrP+L3DmgvHSJQtB1iVkcLTxm+vagLHBLG91OGnopwrr7gT/loDypIhoRxjcwAAOeg/jN4WBbXzCJtnWGGllUCSdtUZQzKOSp9iM4yX18C6jrY4Sq6R9PUV/lEGNveJR4gw4FMve7110XdEPL1O2VTdHvdqeANyaq0nLdEmtXnrzvdrFlBaUvmaR4EdlkqGkvkZKWJej8Vq+msbKa7JdbxjwZtRufiyGfD/NVqMgSrYRzw9z/a8Zwbr+9+19CxlWD5bCuAEfPmjY6kZJE2L/CQI6+tnCBTXOmWZtZMBoCLGOf7G2uAC3+kFlboh9as5WCkO6+iqXq29dyhKnsHInorRYsPlgxIXyU1Om/Kyhj1DJV0Am9WJK3Dln0zNUH0q6ZTOnZcFD36AAABYkGbjEnhDyZTAiv/ACcwdIOLRFfoGK2ZkKsvgMwG0m0qsY0vMLPSzefc+ebp/aztyF7MlsBz/fBeNtxFBcsKgR4pf65GvdfOMHah0ltZ918sMDmXUEZMeRHy/xpnWpTLeGz6uTs/7MATPmU5BgHbT/DkD8QeaZnFAzidyFCXDz2l/jaKhEdgqipbB2pH0+fQ039r05z9axxEWGmaLQjg6x9+po1o24yhkVO7m03YwWmPyCgy8cOwrvRyJkXJpRN4m8ZBS1zwY80HeN/VyMQQJSMwsTo7R1XMerSFuyx0nz+8qOuhiqykc2ohCCsXia/+kIKbJ5Vs+cbWtvkqBKIDSfU7FhAd3GjcY/xar0EVmi6wWFTugAogR3I7mTrQDdlTAqYgqO7Gn5NMXQVHu2i1zhFSdo9GjMbeGnbkJwsFbQ2XkoKRIDpuW7AewC9AEBt0Ox/Ah6dGXfXO1jl8pEApj2RFmgAAAPlBm61J4Q8mUwIr/wAlR+eW/VZ7bSrmwwMA62G05DZ7p/5FUugsSsQdonUq6abtbU5hjFr+I1lPgoiV5c3CkTQZS+K5zivdo+Ti2P4K90xXANp8dSMAu85uJIOCQn2TXbEnNDifLB+3V84ht5tj4lvTaZx317BcliV8D5v2zZQW8RO1mUbuJEBItst8E7hfE+ZXj7tfDxNZPTvtpFyUv0fH1cTg1pr2VLy0d0zQLiA58dg+GkRvR1/hs2LyifBgHcj6eTWz0vsypVn9iPXRH/unJ6i8cfFL69NO24tQ9QQB+nDFhoP2cRhkAvhHwn56n5PppBD/oxni2f8AAAE9QZvOSeEPJlMCK/8AJjAXVGf+Kj2XNJnFeKC/gr7dJDTC2ngpd4WeAHlg04GuJKnn9hAmiECxxo9qM1IYMRiB85t6gALnlm9sRqGmioyzAm18RJndc9Ah8RlpGzr+44a6ntRaPx0cIwNIWAA8buL2JP00dmfjNqEiAlCa8OdV8FQxjp1vDXsGcAGF3Qbd62KEpkimeI3wH2nuXpbDHm8/ZKOR49s5ifUCkxCoJpfp43aC0lTzh2NXpcfVw6h0QnK8G60R4ZAxOxaJB7c0nn8ixXSU2JVY24EtGMF53nxJnHfzUheewUfBOGYSxeo8oK7oUCqX4rztzDwoc2QywNqQUJUkFrqIN+sb5ecYvX24Zujn+ZzTW6UDAF3R6WdNyJyRAremgC8spSflTqygQNGfHyGkfIEEJJaFo/pBCBkAAAEWQZvvSeEPJlMCK/8AKI41fuekXG59Knbw4Y6YJritsh9VtQgc3QKvVmxrzzo7f4aXn8N74eyP4b2lV1Z2Q+rohxps7EHTkOY9jLdqxI3MXe7je4g2qepz71+hY+jYdX+9LO0kA0Zg3NfyAlIRX7k6c/YHAZNtNaGZgTBMqiPgmEjiJH9Luk7shbgr+srfwiYwBX9rdS3fQNNFwcT8orQC+F60LAY9+GbFo2Sw3Ld4Tw9jq9yJtrY8RtHAdzytyek/mv2+j2TbTvAQKbbCYtdC8E/KtR4V5ZTSScr5Wb63vmbw7UpddEXYvl55pARyyvMxWNSh3Li4GF8Jk5JBi5B5ASQwxCMYpX5hkAMc+d8tl2bT+IEvUTsAAAElQZoQSeEPJlMCK/8AJIAzFZs00JJ0yfm8CZiew4xWdArLklEvBVXo/+ukPLu3XP9HFOfsme3T6BJEKmPPgZw/Lxnraq6Sl2kLVW19YU1qmqgfv+80LkZaWU5gRAH4hqyo3bFYcbuY2SC3IW5Wm69gtYyAXOdbAYSEHA16fvCeRQjHEsxKVndJdrRAlrGHsKgUBQ3Up/ZXIy1vkdFOfKSjpuZnswkuqr8NZI5tJ/dnBSErBTNWPaNwWV7nNomC0EYVGo+geGBhLXzaLw0UAOCYGjiPc3803BDw1GLoLIXjrIFJxwRfBNIAXYZAglu30oYzhpAfRWSprkeULMWYJTlWvbUQ5CNewSZssuDWIRAc3w8AcFaywwn+YSGhtR8VI1OGjYkfBbcAAAD8QZoxSeEPJlMCK/8AJdokjCUETRw/nciVPtaZQSBP/VxAQSITASEzlJBl9Na1r0DJhLOz279+KQLtl/xHZ8vAKc528mTMTqtWs4sFbeVgHWyBpHcHEtgTzjIqEinp/MPuUXF5poo8YLSSMFn9Ozx2FbU5/Kh9A39oN9NHQflVxV1NA6yT/84HHyfMtfdSMS8KTvAEE2lDs14VQayNs5ctjXboQT7xMBf5OLj6thhPvgaDrFB2o/PV9ouK147lruWTP2mkoA9oDIMYW1pcBx4yyV/t9GOPZ3aXneMUb2fFmUCX43BjXfUDMaa4GO2/Ankj3UEQwDxA7ZlNUQK2AAAA4UGaUknhDyZTAiv/ACJHv33I08bkhybYiJ/JiiheW5zMPBu4n5CxGr3frhE7TkLh0vPktM8m/AhaDiJisdk5QXNe/4WmxEDSAyaVi4eUVu0iHT2ly/KNTGqiORqA2oKpTjh84nYbrpXwnGv9SOf/34Z06xN6Yo3t35UZrP8nlcs/63GtnEmnUwVZHBYfPM6bs5M5AeBfAQ/9mIqu7vnEst+5O2wpPjzdItjwGCZ2ApHVjGnYYFomlA9nm6AXnxNIWHIsDgxCk3zx+6QbXipu/CWLG1Wf0WIbt4C0JPVl3TEb0QAAAMlBmnNJ4Q8mUwIr/wAVV64OfTKmlktYOqZHH1W1DhPy/X/6sD4T6hRdzfOgNtTOX2IckRJHshfBQVkJIzns079io6kpJFCcS3VD4zrWCn/dNaGV0kWTpFBRuusfn8F0C0R/EhsQeyTsdZftEkLGb5tq+nrir3vfmeb7rjmWJRXkIrTEKu8pIuAd+4FBGp8ARgGe80Jqpp//s1433HqBFqXsIFJTmU8j/toF9HyueI1Ea4uvsQ6NANGcYCbOAKCmbNiwABMCFaiUTMAAAAPSbW9vdgAAAGxtdmhkAAAAAHwlsIB8JbCAAAAD6AAAAyAAAQAAAQAAAAAAAAAAAAAAAAEAAAAAAAAAAAAAAAAAAAABAAAAAAAAAAAAAAAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgAAAv10cmFrAAAAXHRraGQAAAAPfCWwgHwlsIAAAAABAAAAAAAAAyAAAAAAAAAAAAAAAAAAAAAAAAEAAAAAAAAAAAAAAAAAAAABAAAAAAAAAAAAAAAAAABAAAAAAY4AAAGGAAAAAAAkZWR0cwAAABxlbHN0AAAAAAAAAAEAAAMgAAAAAgABAAAAAAJ1bWRpYQAAACBtZGhkAAAAAHwlsIB8JbCAAAAAGQAAABRVxAAAAAAALWhkbHIAAA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       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 22,
       "text": [
        "<IPython.core.display.HTML at 0x107087150>"
       ]
      }
     ],
     "prompt_number": 22
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "HTML"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Python objects can declare HTML representations that will be displayed in the Notebook. If you have some HTML you want to display, simply use the `HTML` class."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from IPython.display import HTML"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 23
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "s = \"\"\"<table>\n",
      "<tr>\n",
      "<th>Header 1</th>\n",
      "<th>Header 2</th>\n",
      "</tr>\n",
      "<tr>\n",
      "<td>row 1, cell 1</td>\n",
      "<td>row 1, cell 2</td>\n",
      "</tr>\n",
      "<tr>\n",
      "<td>row 2, cell 1</td>\n",
      "<td>row 2, cell 2</td>\n",
      "</tr>\n",
      "</table>\"\"\""
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 24
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "h = HTML(s); h"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<table>\n",
        "<tr>\n",
        "<th>Header 1</th>\n",
        "<th>Header 2</th>\n",
        "</tr>\n",
        "<tr>\n",
        "<td>row 1, cell 1</td>\n",
        "<td>row 1, cell 2</td>\n",
        "</tr>\n",
        "<tr>\n",
        "<td>row 2, cell 1</td>\n",
        "<td>row 2, cell 2</td>\n",
        "</tr>\n",
        "</table>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 25,
       "text": [
        "<IPython.core.display.HTML at 0x106f6e550>"
       ]
      }
     ],
     "prompt_number": 25
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Pandas makes use of this capability to allow `DataFrames` to be represented as HTML tables."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import pandas"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 26
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Here is a small amount of stock data for APPL:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%%file data.csv\n",
      "Date,Open,High,Low,Close,Volume,Adj Close\n",
      "2012-06-01,569.16,590.00,548.50,584.00,14077000,581.50\n",
      "2012-05-01,584.90,596.76,522.18,577.73,18827900,575.26\n",
      "2012-04-02,601.83,644.00,555.00,583.98,28759100,581.48\n",
      "2012-03-01,548.17,621.45,516.22,599.55,26486000,596.99\n",
      "2012-02-01,458.41,547.61,453.98,542.44,22001000,540.12\n",
      "2012-01-03,409.40,458.24,409.00,456.48,12949100,454.53"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Writing data.csv\n"
       ]
      }
     ],
     "prompt_number": 27
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Read this as into a `DataFrame`:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df = pandas.read_csv('data.csv')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 28
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "And view the HTML representation:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>Date</th>\n",
        "      <th>Open</th>\n",
        "      <th>High</th>\n",
        "      <th>Low</th>\n",
        "      <th>Close</th>\n",
        "      <th>Volume</th>\n",
        "      <th>Adj Close</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td> 2012-06-01</td>\n",
        "      <td> 569.16</td>\n",
        "      <td> 590.00</td>\n",
        "      <td> 548.50</td>\n",
        "      <td> 584.00</td>\n",
        "      <td> 14077000</td>\n",
        "      <td> 581.50</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td> 2012-05-01</td>\n",
        "      <td> 584.90</td>\n",
        "      <td> 596.76</td>\n",
        "      <td> 522.18</td>\n",
        "      <td> 577.73</td>\n",
        "      <td> 18827900</td>\n",
        "      <td> 575.26</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td> 2012-04-02</td>\n",
        "      <td> 601.83</td>\n",
        "      <td> 644.00</td>\n",
        "      <td> 555.00</td>\n",
        "      <td> 583.98</td>\n",
        "      <td> 28759100</td>\n",
        "      <td> 581.48</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td> 2012-03-01</td>\n",
        "      <td> 548.17</td>\n",
        "      <td> 621.45</td>\n",
        "      <td> 516.22</td>\n",
        "      <td> 599.55</td>\n",
        "      <td> 26486000</td>\n",
        "      <td> 596.99</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td> 2012-02-01</td>\n",
        "      <td> 458.41</td>\n",
        "      <td> 547.61</td>\n",
        "      <td> 453.98</td>\n",
        "      <td> 542.44</td>\n",
        "      <td> 22001000</td>\n",
        "      <td> 540.12</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5</th>\n",
        "      <td> 2012-01-03</td>\n",
        "      <td> 409.40</td>\n",
        "      <td> 458.24</td>\n",
        "      <td> 409.00</td>\n",
        "      <td> 456.48</td>\n",
        "      <td> 12949100</td>\n",
        "      <td> 454.53</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "<p>6 rows \u00d7 7 columns</p>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 29,
       "text": [
        "         Date    Open    High     Low   Close    Volume  Adj Close\n",
        "0  2012-06-01  569.16  590.00  548.50  584.00  14077000     581.50\n",
        "1  2012-05-01  584.90  596.76  522.18  577.73  18827900     575.26\n",
        "2  2012-04-02  601.83  644.00  555.00  583.98  28759100     581.48\n",
        "3  2012-03-01  548.17  621.45  516.22  599.55  26486000     596.99\n",
        "4  2012-02-01  458.41  547.61  453.98  542.44  22001000     540.12\n",
        "5  2012-01-03  409.40  458.24  409.00  456.48  12949100     454.53\n",
        "\n",
        "[6 rows x 7 columns]"
       ]
      }
     ],
     "prompt_number": 29
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "External sites"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "You can even embed an entire page from another site in an iframe; for example this is today's Wikipedia\n",
      "page for mobile users:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from IPython.display import IFrame\n",
      "IFrame('http://en.mobile.wikipedia.org/?useformat=mobile', width='100%', height=350)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "\n",
        "        <iframe\n",
        "            width=\"100%\"\n",
        "            height=350\"\n",
        "            src=\"http://en.mobile.wikipedia.org/?useformat=mobile\"\n",
        "            frameborder=\"0\"\n",
        "            allowfullscreen\n",
        "        ></iframe>\n",
        "        "
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 30,
       "text": [
        "<IPython.lib.display.IFrame at 0x10a8f7e10>"
       ]
      }
     ],
     "prompt_number": 30
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "LaTeX"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "And we also support the display of mathematical expressions typeset in LaTeX, which is rendered\n",
      "in the browser thanks to the [MathJax library](http://mathjax.org)."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from IPython.display import Math\n",
      "Math(r'F(k) = \\int_{-\\infty}^{\\infty} f(x) e^{2\\pi i k} dx')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "latex": [
        "$$F(k) = \\int_{-\\infty}^{\\infty} f(x) e^{2\\pi i k} dx$$"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 31,
       "text": [
        "<IPython.core.display.Math at 0x10a8f71d0>"
       ]
      }
     ],
     "prompt_number": 31
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "With the `Latex` class, you have to include the delimiters yourself.  This allows you to use other LaTeX modes such as `eqnarray`:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from IPython.display import Latex\n",
      "Latex(r\"\"\"\\begin{eqnarray}\n",
      "\\nabla \\times \\vec{\\mathbf{B}} -\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{E}}}{\\partial t} & = \\frac{4\\pi}{c}\\vec{\\mathbf{j}} \\\\\n",
      "\\nabla \\cdot \\vec{\\mathbf{E}} & = 4 \\pi \\rho \\\\\n",
      "\\nabla \\times \\vec{\\mathbf{E}}\\, +\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{B}}}{\\partial t} & = \\vec{\\mathbf{0}} \\\\\n",
      "\\nabla \\cdot \\vec{\\mathbf{B}} & = 0 \n",
      "\\end{eqnarray}\"\"\")"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "latex": [
        "\\begin{eqnarray}\n",
        "\\nabla \\times \\vec{\\mathbf{B}} -\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{E}}}{\\partial t} & = \\frac{4\\pi}{c}\\vec{\\mathbf{j}} \\\\\n",
        "\\nabla \\cdot \\vec{\\mathbf{E}} & = 4 \\pi \\rho \\\\\n",
        "\\nabla \\times \\vec{\\mathbf{E}}\\, +\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{B}}}{\\partial t} & = \\vec{\\mathbf{0}} \\\\\n",
        "\\nabla \\cdot \\vec{\\mathbf{B}} & = 0 \n",
        "\\end{eqnarray}"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 32,
       "text": [
        "<IPython.core.display.Latex at 0x10a8f7690>"
       ]
      }
     ],
     "prompt_number": 32
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Or you can enter latex directly with the `%%latex` cell magic:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%%latex\n",
      "\\begin{align}\n",
      "\\nabla \\times \\vec{\\mathbf{B}} -\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{E}}}{\\partial t} & = \\frac{4\\pi}{c}\\vec{\\mathbf{j}} \\\\\n",
      "\\nabla \\cdot \\vec{\\mathbf{E}} & = 4 \\pi \\rho \\\\\n",
      "\\nabla \\times \\vec{\\mathbf{E}}\\, +\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{B}}}{\\partial t} & = \\vec{\\mathbf{0}} \\\\\n",
      "\\nabla \\cdot \\vec{\\mathbf{B}} & = 0\n",
      "\\end{align}"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "latex": [
        "\\begin{align}\n",
        "\\nabla \\times \\vec{\\mathbf{B}} -\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{E}}}{\\partial t} & = \\frac{4\\pi}{c}\\vec{\\mathbf{j}} \\\\\n",
        "\\nabla \\cdot \\vec{\\mathbf{E}} & = 4 \\pi \\rho \\\\\n",
        "\\nabla \\times \\vec{\\mathbf{E}}\\, +\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{B}}}{\\partial t} & = \\vec{\\mathbf{0}} \\\\\n",
        "\\nabla \\cdot \\vec{\\mathbf{B}} & = 0\n",
        "\\end{align}"
       ],
       "metadata": {},
       "output_type": "display_data",
       "text": [
        "<IPython.core.display.Latex at 0x10a8f7e90>"
       ]
      }
     ],
     "prompt_number": 33
    }
   ],
   "metadata": {}
  }
 ]
}