damontallen/repr_options.ipynb

## repr_options.ipynb
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  {
   "cells": [
    {
     "cell_type": "heading",
     "level": 1,
     "metadata": {},
     "source": [
      "Using the class __repr__ method"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "In IPython you can have alternative representations of the an object, as seen [here](http://nbviewer.ipython.org/github/kialio/python-bootcamp/blob/master/Lectures/13_AdvancedIPython/Custom%20Display%20Logic.ipynb).  However I was unable to find a bare bones example of an implementation of the alternative display logic.  Obviously you can do more with it than what I show here but I thought a simple demonstration would be useful.\n",
      "\n",
      "For some background, a $\\text{__repr__}$ method in Python will return a text representation of an object.  Since everything is an object in Python this is how Python returns output when displaying a string object like 'Hello world' e.g. \"Hello world\" is returned or for an int object like 5, \"5\" is returned.  IPython extends this idea to more than mere text representations to include SVG, JPG, PNG, LaTex, HTML, and JSON representations.  This is how, for instance, a pandas dataframe can be displayed as an HTML table.  IPython's display methods are used to display all rich representations in a Notebook.\n",
      "\n",
      "There is a hierarchy of display order, which means if IPython can return a richer display format it will pick the highest in the hierarchy.  The lowest is plain text, followed by JSON, PNG, JPEG, SVG, LaTeX, and finally HTML.  However, this display order can be overridden by using a specific display method, display_PNG for when an object has both a PNG and a LaTex repr methods.\n",
      "\n",
      "The following is a simple example showing some repr methods followed by an example using an override call."
     ]
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Plain text repr"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "class test(object):\n",
      "    def __init__(self):\n",
      "        pass\n",
      "    \n",
      "    def __repr__(self):\n",
      "        \"Lowest in the display order\"\n",
      "        txt = \"2 + 2 = 4\"\n",
      "        return txt\n",
      "    \n",
      "#     def _repr_png_(self):\n",
      "#         \"Higher than text in the display order\"\n",
      "#         with open(\"PNG_doc.resized.png\",'rb') as f:\n",
      "#             txt = f.read()\n",
      "#         return txt\n",
      "    \n",
      "#     def _repr_svg_(self):\n",
      "#         \"Higher then text in the display order\"\n",
      "#         txt = \"\"\"<svg width=\"100\" height=\"100\">\n",
      "#   <circle cx=\"50\" cy=\"50\" r=\"40\" stroke=\"green\" stroke-width=\"4\" fill=\"yellow\" />\n",
      "# </svg>\"\"\"\n",
      "#         return txt\n",
      "\n",
      "#     def _repr_latex_(self):\n",
      "#         \"Second highest in the display order\"\n",
      "#         txt = \"$$x^2 = 4$$\"\n",
      "#         return txt\n",
      "    \n",
      "#     def _repr_html_(self):\n",
      "#         \"Highest in the display order\"\n",
      "#         txt = \"<strong>What?</strong>\"\n",
      "#         return txt"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 1
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "T = test()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 2
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "T"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 3,
       "text": [
        "2 + 2 = 4"
       ]
      }
     ],
     "prompt_number": 3
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "PNG repr"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# In order to make this executable on any other computer, I need to grab a \n",
      "# remote png file.\n",
      "\n",
      "from urllib.request import urlretrieve\n",
      "\n",
      "urlretrieve(\"http://i.imgur.com/aTxezXX.png\", \"PNG_doc.resized.png\")"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 4,
       "text": [
        "('PNG_doc.resized.png', <http.client.HTTPMessage at 0x7f555cc62320>)"
       ]
      }
     ],
     "prompt_number": 4
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "class test(object):\n",
      "    def __init__(self):\n",
      "        pass\n",
      "    \n",
      "    def __repr__(self):\n",
      "        \"Lowest in the display order\"\n",
      "        txt = \"2 + 2 = 4\"\n",
      "        return txt\n",
      "    \n",
      "    def _repr_png_(self):\n",
      "        \"Higher than text in the display order\"\n",
      "        with open(\"PNG_doc.resized.png\",'rb') as f:\n",
      "            txt = f.read()\n",
      "        return txt\n",
      "    \n",
      "#     def _repr_svg_(self):\n",
      "#         \"Higher then text in the display order\"\n",
      "#         txt = \"\"\"<svg width=\"100\" height=\"100\">\n",
      "#   <circle cx=\"50\" cy=\"50\" r=\"40\" stroke=\"green\" stroke-width=\"4\" fill=\"yellow\" />\n",
      "# </svg>\"\"\"\n",
      "#         return txt\n",
      "\n",
      "#     def _repr_latex_(self):\n",
      "#         \"Second highest in the display order\"\n",
      "#         txt = \"$$x^2 = 4$$\"\n",
      "#         return txt\n",
      "    \n",
      "#     def _repr_html_(self):\n",
      "#         \"Highest in the display order\"\n",
      "#         txt = \"<strong>What?</strong>\"\n",
      "#         return txt"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 5
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "T = test()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 6
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "T"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
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DO/a9PGzggXPuxDlAzhmQEzKwdetW6fvE7Ybcjh20uBiQA+Q0BbmtW7eGhYW5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\n",
       "prompt_number": 7,
       "text": [
        "2 + 2 = 4"
       ]
      }
     ],
     "prompt_number": 7
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "SVG repr"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "class test(object):\n",
      "    def __init__(self):\n",
      "        pass\n",
      "    \n",
      "    def __repr__(self):\n",
      "        \"Lowest in the display order\"\n",
      "        txt = \"2 + 2 = 4\"\n",
      "        return txt\n",
      "    \n",
      "    def _repr_png_(self):\n",
      "        \"Higher than text in the display order\"\n",
      "        with open(\"PNG_doc.resized.png\",'rb') as f:\n",
      "            txt = f.read()\n",
      "        return txt\n",
      "    \n",
      "    def _repr_svg_(self):\n",
      "        \"Higher then text in the display order\"\n",
      "        txt = \"\"\"<svg width=\"100\" height=\"100\">\n",
      "  <circle cx=\"50\" cy=\"50\" r=\"40\" stroke=\"green\" stroke-width=\"4\" fill=\"yellow\" />\n",
      "</svg>\"\"\"\n",
      "        return txt\n",
      "\n",
      "#     def _repr_latex_(self):\n",
      "#         \"Second highest in the display order\"\n",
      "#         txt = \"$$x^2 = 4$$\"\n",
      "#         return txt\n",
      "    \n",
      "#     def _repr_html_(self):\n",
      "#         \"Highest in the display order\"\n",
      "#         txt = \"<strong>What?</strong>\"\n",
      "#         return txt"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 8
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "T = test()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 9
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "T"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "png": 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DO/a9PGzggXPuxDlAzhmQEzKwdetW6fvE7Ybcjh20uBiQA+Q0BbmtW7eGhYW5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\n",
       "prompt_number": 10,
       "svg": [
        "<svg width=\"100\" height=\"100\">\n",
        "  <circle cx=\"50\" cy=\"50\" r=\"40\" stroke=\"green\" stroke-width=\"4\" fill=\"yellow\" />\n",
        "</svg>"
       ],
       "text": [
        "2 + 2 = 4"
       ]
      }
     ],
     "prompt_number": 10
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "LaTex repr"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "class test(object):\n",
      "    def __init__(self):\n",
      "        pass\n",
      "    \n",
      "    def __repr__(self):\n",
      "        \"Lowest in the display order\"\n",
      "        txt = \"2 + 2 = 4\"\n",
      "        return txt\n",
      "    \n",
      "    def _repr_png_(self):\n",
      "        \"Higher than text in the display order\"\n",
      "        with open(\"PNG_doc.resized.png\",'rb') as f:\n",
      "            txt = f.read()\n",
      "        return txt\n",
      "    \n",
      "    def _repr_svg_(self):\n",
      "        \"Higher then text in the display order\"\n",
      "        txt = \"\"\"<svg width=\"100\" height=\"100\">\n",
      "  <circle cx=\"50\" cy=\"50\" r=\"40\" stroke=\"green\" stroke-width=\"4\" fill=\"yellow\" />\n",
      "</svg>\"\"\"\n",
      "        return txt\n",
      "\n",
      "    def _repr_latex_(self):\n",
      "        \"Second highest in the display order\"\n",
      "        txt = r\"$$x^2 = \\frac{16}{4}$$\"\n",
      "        return txt\n",
      "    \n",
      "#     def _repr_html_(self):\n",
      "#         \"Highest in the display order\"\n",
      "#         txt = \"<strong>What?</strong>\"\n",
      "#         return txt"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 11
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "T = test()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 12
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "T"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "latex": [
        "$$x^2 = \\frac{16}{4}$$"
       ],
       "metadata": {},
       "output_type": "pyout",
       "png": 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DO/a9PGzggXPuxDlAzhmQEzKwdetW6fvE7Ybcjh20uBiQA+Q0BbmtW7eGhYW5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\n",
       "prompt_number": 13,
       "svg": [
        "<svg width=\"100\" height=\"100\">\n",
        "  <circle cx=\"50\" cy=\"50\" r=\"40\" stroke=\"green\" stroke-width=\"4\" fill=\"yellow\" />\n",
        "</svg>"
       ],
       "text": [
        "2 + 2 = 4"
       ]
      }
     ],
     "prompt_number": 13
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Wait... that the SVG repr again!  What's up?\n",
      "\n",
      "This is a small bug that affects nbviewer that is going to be fixed in the next release.  In the Notebook this appears as,\n",
      "\n",
      "$$x^2 = \\frac{16}{4}$$\n",
      "\n",
      "Be patient; January is almost here."
     ]
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "HTML repr"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "class test(object):\n",
      "    def __init__(self):\n",
      "        pass\n",
      "    \n",
      "    def __repr__(self):\n",
      "        \"Lowest in the display order\"\n",
      "        txt = \"2 + 2 = 4\"\n",
      "        return txt\n",
      "    \n",
      "    def _repr_png_(self):\n",
      "        \"Higher than text in the display order\"\n",
      "        with open(\"PNG_doc.resized.png\",'rb') as f:\n",
      "            txt = f.read()\n",
      "        return txt\n",
      "    \n",
      "    def _repr_svg_(self):\n",
      "        \"Higher then text in the display order\"\n",
      "        txt = \"\"\"<svg width=\"100\" height=\"100\">\n",
      "  <circle cx=\"50\" cy=\"50\" r=\"40\" stroke=\"green\" stroke-width=\"4\" fill=\"yellow\" />\n",
      "</svg>\"\"\"\n",
      "        return txt\n",
      "\n",
      "    def _repr_latex_(self):\n",
      "        \"Second highest in the display order\"\n",
      "        txt = \"$$x^2 = 4$$\"\n",
      "        return txt\n",
      "    \n",
      "    def _repr_html_(self):\n",
      "        \"Highest in the display order\"\n",
      "        txt = ('<strong style=\"color:red\">What?</strong><strong> .... </strong>'\n",
      "               '<strong style=\"color:green\">HTML is really the tops!</strong>')\n",
      "        return txt"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 14
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "T = test()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 15
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "T"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<strong style=\"color:red\">What?</strong><strong> .... </strong><strong style=\"color:green\">HTML is really the tops!</strong>"
       ],
       "latex": [
        "$$x^2 = 4$$"
       ],
       "metadata": {},
       "output_type": "pyout",
       "png": 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DO/a9PGzggXPuxDlAzhmQEzKwdetW6fvE7Ybcjh20uBiQA+Q0BbmtW7eGhYW5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\n",
       "prompt_number": 16,
       "svg": [
        "<svg width=\"100\" height=\"100\">\n",
        "  <circle cx=\"50\" cy=\"50\" r=\"40\" stroke=\"green\" stroke-width=\"4\" fill=\"yellow\" />\n",
        "</svg>"
       ],
       "text": [
        "2 + 2 = 4"
       ]
      }
     ],
     "prompt_number": 16
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Overriding the highest repr"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "If you have a particular representation that you need to be displayed instead \n",
      "of the default highest repr method available, you can override the display \n",
      "order with IPython's display display_... method."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from IPython.display import display_svg"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 17
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "display_svg(T)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "svg": [
        "<svg width=\"100\" height=\"100\">\n",
        "  <circle cx=\"50\" cy=\"50\" r=\"40\" stroke=\"green\" stroke-width=\"4\" fill=\"yellow\" />\n",
        "</svg>"
       ]
      }
     ],
     "prompt_number": 18
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Final note"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "If you look at the raw JSON code of the Notebook file you can see all the \n",
      "representations of an object stored with the object.  This has an effect on the \n",
      "Notebook's file size and separate image representations of a frequently used \n",
      "object can make a substantial impact on the portability of a Notebook."
     ]
    }
   ],
   "metadata": {}
  }
 ]
}