Merge pull request #10527 from Carreau/repr-mimebundle-doc

Document _repr_mimebundle_

IPython/core/formatters.py

@@ -960,7 +960,7 b' class MimeBundleFormatter(BaseFormatter):'
             if method is not None:
                 d = {}
                 d['include'] = include
-                d['exclude'] = include
+                d['exclude'] = exclude
                 return method(**d)
             return None
         else:

IPython/core/tests/test_formatters.py

@@ -116,8 +116,6 b' def test_for_type():'
 def test_for_type_string():
     f = PlainTextFormatter()
     
-    mod = C.__module__
-    
     type_str = '%s.%s' % (C.__module__, 'C')
     
     # initial return, None
@@ -166,7 +164,6 b' def test_lookup_by_type():'
     f = PlainTextFormatter()
     f.for_type(C, foo_printer)
     nt.assert_is(f.lookup_by_type(C), foo_printer)
-    type_str = '%s.%s' % (C.__module__, 'C')
     with nt.assert_raises(KeyError):
         f.lookup_by_type(A)
 
@@ -475,6 +472,31 b' def test_repr_mime():'
     nt.assert_equal(d['image/png'], 'i-overwrite', '_repr_mimebundle_ take precedence')
 
 
+
+def test_pass_correct_include_exclude():
+    class Tester(object):
+
+        def __init__(self, include=None, exclude=None):
+            self.include = include
+            self.exclude = exclude
+
+        def _repr_mimebundle_(self, include, exclude, **kwargs):
+            if include and (include != self.include):
+                raise ValueError('include got modified: display() may be broken.')
+            if exclude and (exclude != self.exclude):
+                raise ValueError('exclude got modified: display() may be broken.')
+
+            return None
+
+    include = {'a', 'b', 'c'}
+    exclude = {'c', 'e' , 'f'}
+
+    f = get_ipython().display_formatter
+    f.format(Tester(include=include, exclude=exclude), include=include, exclude=exclude)
+    f.format(Tester(exclude=exclude), exclude=exclude)
+    f.format(Tester(include=include), include=include)
+
+
 def test_repr_mime_meta():
     class HasReprMimeMeta(object):
         def _repr_mimebundle_(self, include=None, exclude=None):
@@ -499,5 +521,3 b' def test_repr_mime_meta():'
             'height': 10,
         }
     })
-    
-    

examples/IPython Kernel/Custom Display Logic.ipynb

@@ -47,7 +47,7 b''
    "cell_type": "code",
    "execution_count": 1,
    "metadata": {
-    "collapsed": false
+    "collapsed": true
    },
    "outputs": [],
    "source": [
@@ -67,13 +67,13 b''
    "cell_type": "code",
    "execution_count": 2,
    "metadata": {
-    "collapsed": false
+    "collapsed": true
    },
    "outputs": [],
    "source": [
-    "%matplotlib inline\n",
     "import numpy as np\n",
-    "import matplotlib.pyplot as plt"
+    "import matplotlib.pyplot as plt\n",
+    "plt.ion()"
    ]
   },
   {
@@ -94,7 +94,8 b''
     "* `_repr_jpeg_`: return raw JPEG data\n",
     "* `_repr_png_`: return raw PNG data\n",
     "* `_repr_svg_`: return raw SVG data as a string\n",
-    "* `_repr_latex_`: return LaTeX commands in a string surrounded by \"$\"."
+    "* `_repr_latex_`: return LaTeX commands in a string surrounded by \"$\".\n",
+    "* `_repr_mimebundle_`: return a full mimebundle containing the mapping from all mimetypes to data "
    ]
   },
   {
@@ -108,7 +109,7 b''
    "cell_type": "code",
    "execution_count": 3,
    "metadata": {
-    "collapsed": false
+    "collapsed": true
    },
    "outputs": [],
    "source": [
@@ -157,141 +158,16 b''
   {
    "cell_type": "code",
    "execution_count": 4,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
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-      ],
+      "image/png": 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a4Ji99kmDY88zY8peK66WeWQvSQ0w7CWpAYa9JDXAsJekBhj2ktQAw16SGmDYS1IDvM5e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\n1ADDXpIa8P8BEb7Ae9JKdQAAAAAASUVORK5CYII=\n",
       "text/latex": [
        "$\\mathcal{N}(\\mu=2, \\sigma=1),\\ N=1000$"
       ],
       "text/plain": [
-       "<__main__.Gaussian at 0x10665a4e0>"
+       "<__main__.Gaussian at 0x116fe76d8>"
       ]
      },
      "execution_count": 4,
@@ -314,141 +190,16 b''
   {
    "cell_type": "code",
    "execution_count": 5,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": [
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-       "BAbamjOdYIOBafEMGd4MocEGUrAbG1Sgw7sLwWAI5bhT6tC0abCN4rQlSjEhmVAbG1yRRHgTYgsp\n",
-       "xEKOlKd/3LvmeiOvdo/26t6VPp9/ds9znufe32rvaL/znHOeU4ZhCAAAa3PWrAsAANiIhCgAgA5C\n",
-       "FABAByEKAKCDEAUA0EGIAgDoIEQBAHQQogAAOghRsIGVUraMv5ZSyq5Z1zMPSinnllK+atZ1AKc/\n",
-       "IQo2oFLKV5ZS3pPkQClla5IfTPIXp+i9P7eUclMp5d+XUv6glPIVp+J9n6KWraWUXy6lvHjp2DAM\n",
-       "B5K8opTyvFnVtRrHq32i77NLKb9SSvmuUsqvllIWTrYPWH9CFMypUsofl1JecZzjm5Jcn+Tnkrwo\n",
-       "yRcleWwYhvefgprOSnJtktcNw/A9SX4zydtKKdun/d7HqeU7k7w+yRVJyrLun0zyE6e6ptU6Qe1J\n",
-       "cluS24Zh+IUkv5rkd9ahD1hnQhTMoXEo+fKM/sgu97IkvzgMw68Ow/AnSb4/ya+fotIuSvI1ST5r\n",
-       "3P6dJM9I8o2n6P2fMAzDrwzD8ENJPnqcvseT3F9KedFaX7eUcnYp5UdKKftLKfeVUspE36tLKfeX\n",
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-       "lFLOS/IpwzB87BTV9XdJnp3kgiQZhuHo+Ni5p+j91+ItSV691ouGYTiS0Z2s25JcmImAOAzDm5L8\n",
-       "xjAMXz8Mw++tV6HLfEmSDyw79sGM7jr29H3NFGoEIkTBvPqKJD+S5ONJXrms7+xhGD4+/v5lSd59\n",
-       "qooahmH/MAzbh2H442Q0ByfJeUn+6FTVsAbvSfLCzmtfnOSOjIbEfnBZ3ydOpqhV+Iwkh5cdeyzJ\n",
-       "+Uk+vaPvM6dQI5Bk86wLAI7r3GEY9pdS3pTkqiT/JUlKKV+Q5P9OnPeFSf58+cWllG9J8vnDMFw3\n",
-       "bv/LJOcPw/ATE+dsS/LTOf6cnEk/MwzDe5+i77uSvGVpCOl4SinfkeS7M7p7tX1c7+NJXj4Mw4fX\n",
-       "sZYnGYbh4+PJ25uGYTi2mmsmfFWSmzK6k/OXpZQXD8PwjlLKjiz7955C7edm9O8z6fEkz0qytbMP\n",
-       "mAIhCubM+LEFS38MfzPJO0spnzkMw4eS/OMkbeL07UnedZyX+Wfja5d8U5KfnzxhGIa/TfLtJ1Hn\n",
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+      "image/png": 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a4Ji99kmDY88zY8peK66WeWQvSQ0w7CWpAYa9JDXAsJekBhj2ktQAw16SGmDYS1IDvM5e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\n1ADDXpIa8P8BEb7Ae9JKdQAAAAAASUVORK5CYII=\n",
       "text/latex": [
        "$\\mathcal{N}(\\mu=2, \\sigma=1),\\ N=1000$"
       ],
       "text/plain": [
-       "<__main__.Gaussian at 0x10665a4e0>"
+       "<__main__.Gaussian at 0x116fe76d8>"
       ]
      },
      "metadata": {},
@@ -469,136 +220,11 b''
   {
    "cell_type": "code",
    "execution_count": 6,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
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+      "image/png": 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a4Ji99kmDY88zY8peK66WeWQvSQ0w7CWpAYa9JDXAsJekBhj2ktQAw16SGmDYS1IDvM5e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\n1ADDXpIa8P8BEb7Ae9JKdQAAAAAASUVORK5CYII=\n"
      },
      "metadata": {},
      "output_type": "display_data"
@@ -627,145 +253,16 b''
   {
    "cell_type": "code",
    "execution_count": 7,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
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+      "image/png": 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       "text/latex": [
        "$\\mathcal{N}(\\mu=0, \\sigma=2),\\ N=2000$"
       ],
       "text/plain": [
-       "<__main__.Gaussian at 0x106ab8c18>"
+       "<__main__.Gaussian at 0x116fe7668>"
       ]
      },
      "execution_count": 7,
@@ -788,270 +285,18 b''
   {
    "cell_type": "code",
    "execution_count": 8,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
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      },
      "metadata": {},
      "output_type": "display_data"
     },
     {
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+      "image/png": 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GmQgkqXEmAklqnIlAkhq3btQVkxwCfAB4MvAjYEtVvSfJvsCHgY3AncAvV9UD44eqlbbx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\nLnYAAAAASUVORK5CYII=\n"
      },
      "metadata": {},
      "output_type": "display_data"
@@ -1093,9 +338,7 b''
   {
    "cell_type": "code",
    "execution_count": 9,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -1124,7 +367,7 b''
    "cell_type": "code",
    "execution_count": 10,
    "metadata": {
-    "collapsed": false
+    "collapsed": true
    },
    "outputs": [],
    "source": [
@@ -1158,9 +401,7 b''
   {
    "cell_type": "code",
    "execution_count": 11,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -1187,9 +428,7 b''
   {
    "cell_type": "code",
    "execution_count": 12,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -1220,24 +459,22 b''
   {
    "cell_type": "code",
    "execution_count": 13,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "              text/plain : PlainTextFormatter\n",
+      "               text/html : HTMLFormatter\n",
+      "           text/markdown : MarkdownFormatter\n",
+      "           image/svg+xml : SVGFormatter\n",
       "               image/png : PNGFormatter\n",
       "         application/pdf : PDFFormatter\n",
-      "               text/html : HTMLFormatter\n",
       "              image/jpeg : JPEGFormatter\n",
-      "              text/plain : PlainTextFormatter\n",
-      "           text/markdown : MarkdownFormatter\n",
-      "        application/json : JSONFormatter\n",
-      "  application/javascript : JavascriptFormatter\n",
       "              text/latex : LatexFormatter\n",
-      "           image/svg+xml : SVGFormatter\n"
+      "        application/json : JSONFormatter\n",
+      "  application/javascript : JavascriptFormatter\n"
      ]
     }
    ],
@@ -1258,7 +495,7 b''
    "cell_type": "code",
    "execution_count": 14,
    "metadata": {
-    "collapsed": false
+    "collapsed": true
    },
    "outputs": [],
    "source": [
@@ -1276,9 +513,7 b''
   {
    "cell_type": "code",
    "execution_count": 15,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -1320,9 +555,7 b''
   {
    "cell_type": "code",
    "execution_count": 16,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
@@ -1376,7 +609,7 b''
    "cell_type": "code",
    "execution_count": 17,
    "metadata": {
-    "collapsed": false
+    "collapsed": true
    },
    "outputs": [],
    "source": [
@@ -1394,9 +627,7 b''
   {
    "cell_type": "code",
    "execution_count": 18,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -1419,9 +650,7 b''
   {
    "cell_type": "code",
    "execution_count": 19,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -1446,6 +675,199 b''
    "cell_type": "markdown",
    "metadata": {},
    "source": [
+    "## Custom Mimetypes with `_repr_mimebundle_`\n",
+    "\n",
+    "Available on IPython 5.4+ and 6.1+.\n",
+    "\n",
+    "For objects needing full control over the `repr` protocol may decide to implement the `_repr_mimebundle_(include, exclude)` method.\n",
+    "Unlike the other `_repr_*_` methods must return many representation of the object in a mapping object which keys are _mimetypes_ and value are associated data. The `_repr_mimebundle_()` method, may also return a second mapping from _mimetypes_ to metadata. \n",
+    "\n",
+    "Example:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "class Gaussian(object):\n",
+    "    \"\"\"A simple object holding data sampled from a Gaussian distribution.\n",
+    "    \"\"\"\n",
+    "    def __init__(self, mean=0.0, std=1, size=1000):\n",
+    "        self.data = np.random.normal(mean, std, size)\n",
+    "        self.mean = mean\n",
+    "        self.std = std\n",
+    "        self.size = size\n",
+    "        # For caching plots that may be expensive to compute\n",
+    "        self._png_data = None\n",
+    "        \n",
+    "    def _figure_data(self, format):\n",
+    "        fig, ax = plt.subplots()\n",
+    "        ax.hist(self.data, bins=50)\n",
+    "        ax.set_xlim(-10.0,10.0)\n",
+    "        data = print_figure(fig, format)\n",
+    "        # We MUST close the figure, otherwise IPython's display machinery\n",
+    "        # will pick it up and send it as output, resulting in a double display\n",
+    "        plt.close(fig)\n",
+    "        return data\n",
+    "    \n",
+    "    def _compute_mathml(self):\n",
+    "        return \"\"\"\n",
+    "        <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n",
+    "          <mrow class=\"MJX-TeXAtom-ORD\">\n",
+    "            <mi class=\"MJX-tex-caligraphic\" mathvariant=\"script\">N</mi>\n",
+    "          </mrow>\n",
+    "          <mo stretchy=\"false\">(</mo>\n",
+    "          <mi>&#x03BC;<!-- μ --></mi>\n",
+    "          <mo>=</mo>\n",
+    "          <mn>{mu}</mn>\n",
+    "          <mo>,</mo>\n",
+    "          <mi>&#x03C3;<!-- σ --></mi>\n",
+    "          <mo>=</mo>\n",
+    "          <mn>{sigma}</mn>\n",
+    "          <mo stretchy=\"false\">)</mo>\n",
+    "          <mo>,</mo>\n",
+    "          <mtext>&#xA0;</mtext>\n",
+    "          <mi>N</mi>\n",
+    "          <mo>=</mo>\n",
+    "          <mn>{N}</mn>\n",
+    "        </math>\n",
+    "        \"\"\".format(N=self.size, mu=self.mean, sigma=self.std)\n",
+    "        \n",
+    "    def _repr_mimebundle_(self, include, exclude, **kwargs):\n",
+    "        \"\"\"\n",
+    "        repr_mimebundle shoudl accept include, exclude and **kwargs\n",
+    "        \"\"\"\n",
+    "        if self._png_data is None:\n",
+    "            self._png_data = self._figure_data('png')\n",
+    "        math = r'$\\mathcal{N}(\\mu=%.2g, \\sigma=%.2g),\\ N=%d$' % (self.mean,\n",
+    "                                                                 self.std, self.size)\n",
+    "        data = {'image/png':self._png_data,\n",
+    "                'text/latex':math,\n",
+    "                'application/mathml+xml': self._compute_mathml()\n",
+    "                }\n",
+    "        if include:\n",
+    "            data = {k:v for (k,v) in data.items() if k in include}\n",
+    "        if exclude:\n",
+    "            data = {k:v for (k,v) in data.items() if k not in exclude}\n",
+    "        return data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/mathml+xml": "\n        <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n          <mrow class=\"MJX-TeXAtom-ORD\">\n            <mi class=\"MJX-tex-caligraphic\" mathvariant=\"script\">N</mi>\n          </mrow>\n          <mo stretchy=\"false\">(</mo>\n          <mi>&#x03BC;<!-- μ --></mi>\n          <mo>=</mo>\n          <mn>0.0</mn>\n          <mo>,</mo>\n          <mi>&#x03C3;<!-- σ --></mi>\n          <mo>=</mo>\n          <mn>1</mn>\n          <mo stretchy=\"false\">)</mo>\n          <mo>,</mo>\n          <mtext>&#xA0;</mtext>\n          <mi>N</mi>\n          <mo>=</mo>\n          <mn>1000</mn>\n        </math>\n        ",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXsAAAD8CAYAAACW/ATfAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAEftJREFUeJzt3X+MZWddx/H3x5aCQKVbOi0LZd2SNBU0oS2TBkUNsvwo\nlLDFUFJidIWaFQ0EYowskhgV/1g0/kxUstLKahBaCrUbWn6sSwkx0cK2tKVlW7etS1m77C4/SlES\ntPL1j3sWx/FO587cc++d2ef9Sib3nHPPueeb55753Geee86ZVBWSpJPbD8y6AEnS5Bn2ktQAw16S\nGmDYS1IDDHtJaoBhL0kNMOwlqQGGvSQ1wLCXpAacOs2dnXXWWbV58+Zp7lKS1r3bbrvta1U1N85r\nTDXsN2/ezP79+6e5S0la95J8edzXcBhHkhpg2EtSA5YN+yQXJLljwc+jSd6e5Mwke5Mc7B43TKNg\nSdLKLRv2VXVfVV1YVRcCLwC+A9wA7AD2VdX5wL5uXpK0Bq10GGcL8EBVfRnYCuzulu8GLu+zMElS\nf1Ya9lcCH+ymz6mqIwDd49l9FiZJ6s/IYZ/kNOA1wIdXsoMk25PsT7L/+PHjK61PktSDlfTsXwnc\nXlVHu/mjSTYCdI/Hhm1UVbuqar6q5ufmxromQJK0SisJ+zfwv0M4AHuAbd30NuDGvoqSJPVrpCto\nkzwZeBnwywsW7wSuS3IV8BBwRf/lSbO3ecdN358+tPOyGVYird5IYV9V3wGevmjZ1xmcnSNJWuO8\nglaSGmDYS1IDDHtJaoBhL0kNmOr97KW1xjNt1Ap79pLUAMNekhpg2EtSAwx7SWqAYS9JDTDsJakB\nhr0kNcCwl6QGGPaS1ADDXpIaYNhLUgMMe0lqgGEvSQ0w7CWpAYa9JDXAsJekBowU9knOSHJ9knuT\nHEjy40nOTLI3ycHuccOki5Ukrc6oPfs/BT5RVT8CPB84AOwA9lXV+cC+bl6StAYtG/ZJfgj4aeBq\ngKr6z6p6BNgK7O5W2w1cPqkiJUnjGaVn/xzgOPDXSb6Q5H1JngKcU1VHALrHsydYpyRpDKOE/anA\nxcBfVtVFwH+wgiGbJNuT7E+y//jx46ssU5I0jlHC/jBwuKpu7eavZxD+R5NsBOgejw3buKp2VdV8\nVc3Pzc31UbMkaYWWDfuq+irwlSQXdIu2AF8C9gDbumXbgBsnUqEkaWynjrjeW4EPJDkNeBB4I4MP\niuuSXAU8BFwxmRIlSeMaKeyr6g5gfshTW/otR5I0CV5BK0kNMOwlqQGGvSQ1wLCXpAYY9pLUAMNe\nkhpg2EtSAwx7SWqAYS9JDTDsJakBo94bRzopbN5x06xLkGbCnr0kNcCwl6QGGPaS1ADDXpIaYNhL\nUgMMe2mRzTtu8qwdnXQMe0lqgGEvSQ0w7CWpAYa9JDVgpNslJDkEfBv4b+CxqppPciZwLbAZOAS8\nvqq+OZkyJUnjWEnP/meq6sKqmu/mdwD7qup8YF83L0lag8YZxtkK7O6mdwOXj1+OJGkSRg37Aj6V\n5LYk27tl51TVEYDu8exJFChJGt+otzh+UVU9nORsYG+Se0fdQffhsB1g06ZNqyhRkjSukXr2VfVw\n93gMuAG4BDiaZCNA93hsiW13VdV8Vc3Pzc31U7UkaUWWDfskT0ly+olp4OXA3cAeYFu32jbgxkkV\nKUkazyjDOOcANyQ5sf7fVdUnknweuC7JVcBDwBWTK1OaPu+Po5PJsmFfVQ8Czx+y/OvAlkkUJUnq\nl1fQSlIDDHtJaoBhL0kNMOwlqQGjXlQlrTsLz6Y5tPOyGVYizZ49e0lqgGEvSQ0w7CWpAYa9JDXA\nsJekBhj2ktQAw16SGmDYS1IDDHtJaoBhL0kNMOwlqQGGvbQCm3fc5H+w0rpk2EtSAwx7SWqAYS9J\nDTDsJakBI4d9klOSfCHJx7r585LcmuRgkmuTnDa5MiVJ41hJz/5twIEF8+8B/riqzge+CVzVZ2GS\npP6MFPZJzgUuA97XzQd4CXB9t8pu4PJJFChJGt+oPfs/AX4D+F43/3Tgkap6rJs/DDyr59okST1Z\n9h+OJ3k1cKyqbkvy4hOLh6xaS2y/HdgOsGnTplWWKY3HC6HUulF69i8CXpPkEPAhBsM3fwKckeTE\nh8W5wMPDNq6qXVU1X1Xzc3NzPZQsSVqpZcO+qt5ZVedW1WbgSuDTVfVzwC3A67rVtgE3TqxKSdJY\nxjnP/h3AryW5n8EY/tX9lCRJ6tuyY/YLVdVngM900w8Cl/RfkiSpb15BK0kNMOwlqQGGvSQ1wLCX\npAas6Ata6WTmhVc6mdmzl6QGGPaS1ACHcaQeLRwKOrTzshlWIv1f9uwlqQGGvSQ1wLCXxrB5x02e\nxaN1wbCXpAYY9pLUAM/G0UnHYRXp/7NnL0kNMOwlqQEO42hdGnbxksM30tLs2UtSAwx7SWqAwzjS\nKjhkpPXGnr0kNWDZsE/ypCSfS3JnknuS/E63/LwktyY5mOTaJKdNvlxJ0mqM0rP/LvCSqno+cCFw\naZIXAu8B/riqzge+CVw1uTIlSeNYNuxr4N+72Sd0PwW8BLi+W74buHwiFUqSxjbSmH2SU5LcARwD\n9gIPAI9U1WPdKoeBZ02mREnSuEYK+6r676q6EDgXuAR47rDVhm2bZHuS/Un2Hz9+fPWVSpJWbUVn\n41TVI8BngBcCZyQ5cermucDDS2yzq6rmq2p+bm5unFolSas0ytk4c0nO6KZ/EHgpcAC4BXhdt9o2\n4MZJFSlJGs8oF1VtBHYnOYXBh8N1VfWxJF8CPpTk94AvAFdPsE5p3Tlx4ZX/eFxrwbJhX1V3ARcN\nWf4gg/F7SdIa5xW0ktQAw16SGmDYS1IDDHtJaoBhL0kNMOwlqQGGvSQ1wLCXpAYY9pLUAMNekhrg\nPxzXuuc//5aWZ89ekhpg2EtSAxzG0brikI20OvbsJakBhr0kNcCwl6QGGPaS1ADDXpIaYNhLUgMM\ne0lqwLJhn+TZSW5JciDJPUne1i0/M8neJAe7xw2TL1eStBqpqsdfIdkIbKyq25OcDtwGXA78IvCN\nqtqZZAewoare8XivNT8/X/v37++ncjXlZLiY6tDOy2ZdgtapJLdV1fw4r7Fsz76qjlTV7d30t4ED\nwLOArcDubrXdDD4AJElr0IrG7JNsBi4CbgXOqaojMPhAAM7uuzhJUj9GvjdOkqcCHwHeXlWPJhl1\nu+3AdoBNmzatpkY1ZuGQjUMfUj9G6tkneQKDoP9AVX20W3y0G88/Ma5/bNi2VbWrquaran5ubq6P\nmiVJKzTK2TgBrgYOVNUfLXhqD7Ctm94G3Nh/eZKkPowyjPMi4OeBLya5o1v2m8BO4LokVwEPAVdM\npkRJ0riWDfuq+kdgqQH6Lf2WI0maBK+glaQGGPaS1ADDXpIaYNhLUgMMe0lqgGEvSQ0w7CWpAYa9\nJDXAsJekBhj2ktQAw16aks07bjop/uOW1ifDXpIaYNhLUgMMe2mGHNrRtBj2ktQAw16SGjDyPxyX\n1A+HbTQL9uwlqQGGvSQ1wGEcrWkOeUj9sGcvSQ1YNuyTXJPkWJK7Fyw7M8neJAe7xw2TLVOSNI5R\nevbvBy5dtGwHsK+qzgf2dfOSVsmLqzRpy4Z9VX0W+MaixVuB3d30buDynuuSJPVotWP251TVEYDu\n8ez+SpIk9W3iX9Am2Z5kf5L9x48fn/TuJElDrDbsjybZCNA9HltqxaraVVXzVTU/Nze3yt1Jksax\n2rDfA2zrprcBN/ZTjiRpEkY59fKDwD8BFyQ5nOQqYCfwsiQHgZd185KkNWrZK2ir6g1LPLWl51ok\nSRPiFbSS1ADvjaM1w4uKpMmxZy9JDTDsJakBDuNoZhy2kabHnr0kNcCwl6QGGPaS1ADDXpIaYNhL\nUgMMe2kN8T9WaVIMe0lqgGEvSQ3woipN1IkhiUM7L/s/85Kmy569JDXAsJekBjiMo94sHKI5MWyj\n1VlpWy4eLpMWs2cvSQ0w7CWpAQ7jaMUcMpiuxWcweWaTVsOevSQ1YKywT3JpkvuS3J9kR19FSZL6\ntephnCSnAH8OvAw4DHw+yZ6q+lJfxWn9cohhckZp22FDbQ6/tW2cnv0lwP1V9WBV/SfwIWBrP2VJ\nkvo0Ttg/C/jKgvnD3TJJ0hqTqlrdhskVwCuq6pe6+Z8HLqmqty5abzuwvZv9MeDu1Zc7NWcBX5t1\nESNYD3WuhxrBOvtmnf26oKpOH+cFxjn18jDw7AXz5wIPL16pqnYBuwCS7K+q+TH2ORXW2Z/1UCNY\nZ9+ss19J9o/7GuMM43weOD/JeUlOA64E9oxbkCSpf6vu2VfVY0neAnwSOAW4pqru6a0ySVJvxrqC\ntqpuBm5ewSa7xtnfFFlnf9ZDjWCdfbPOfo1d56q/oJUkrR/eLkGSGtB72Ce5Isk9Sb6XZH7Rc+/s\nbq1wX5JXLLH9eUluTXIwybXdl78T1e3nju7nUJI7lljvUJIvduuN/e34Kur87ST/tqDWVy2x3sxu\nY5HkD5Lcm+SuJDckOWOJ9WbSlsu1TZIndsfD/d1xuHlatS2o4dlJbklyoPtdetuQdV6c5FsLjoXf\nmnadXR2P+z5m4M+69rwrycUzqPGCBe10R5JHk7x90Tozac8k1yQ5luTuBcvOTLK3y8C9STYsse22\nbp2DSbYtu7Oq6vUHeC5wAfAZYH7B8ucBdwJPBM4DHgBOGbL9dcCV3fR7gV/pu8Zl6v9D4LeWeO4Q\ncNY061m0/98Gfn2ZdU7p2vY5wGldmz9vijW+HDi1m34P8J610pajtA3wq8B7u+krgWtn8D5vBC7u\npk8H/mVInS8GPjbt2lb6PgKvAj4OBHghcOuM6z0F+Crww2uhPYGfBi4G7l6w7PeBHd30jmG/Q8CZ\nwIPd44ZuesPj7av3nn1VHaiq+4Y8tRX4UFV9t6r+FbifwS0Xvi9JgJcA13eLdgOX913jUrr9vx74\n4LT2OQEzvY1FVX2qqh7rZv+ZwfUXa8UobbOVwXEHg+NwS3dcTE1VHamq27vpbwMHWL9Xp28F/qYG\n/hk4I8nGGdazBXigqr48wxq+r6o+C3xj0eKFx+BSGfgKYG9VfaOqvgnsBS59vH1Nc8x+lNsrPB14\nZEFYTPsWDD8FHK2qg0s8X8CnktzWXRk8C2/p/hy+Zok/79bSbSzexKBXN8ws2nKUtvn+Ot1x+C0G\nx+VMdMNIFwG3Dnn6x5PcmeTjSX50qoX9r+Xex7V0PMLgr7WlOnNroT0BzqmqIzD44AfOHrLOitt1\nVadeJvkH4BlDnnpXVd241GZDli0+FWiUdVZlxJrfwOP36l9UVQ8nORvYm+Te7pO5N49XJ/CXwLsZ\ntMm7GQw5vWnxSwzZttdTrkZpyyTvAh4DPrDEy0y8LYeY6TG4UkmeCnwEeHtVPbro6dsZDEX8e/fd\nzd8D50+7RpZ/H9dSe54GvAZ455Cn10p7jmrF7bqqsK+ql65is1Fur/A1Bn/mndr1qobegmE1lqs5\nyanAzwIveJzXeLh7PJbkBgbDAr0G1Khtm+SvgI8NeWqk21iMY4S23Aa8GthS3QDjkNeYeFsOMUrb\nnFjncHdMPI3//2f2xCV5AoOg/0BVfXTx8wvDv6puTvIXSc6qqqne52WE93Hix+MKvBK4vaqOLn5i\nrbRn52iSjVV1pBvyOjZkncMMvmc44VwG35MuaZrDOHuAK7uzHc5j8Kn5uYUrdMFwC/C6btE2YKm/\nFPr2UuDeqjo87MkkT0ly+olpBl9ETvWmbovGOl+7xP5nehuLJJcC7wBeU1XfWWKdWbXlKG2zh8Fx\nB4Pj8NNLfWBNSvcdwdXAgar6oyXWecaJ7xKSXMLgd/nr06ty5PdxD/AL3Vk5LwS+dWKIYgaW/Mt9\nLbTnAguPwaUy8JPAy5Ns6IZzX94tW9oEvl1+LYNPne8CR4FPLnjuXQzOhrgPeOWC5TcDz+ymn8Pg\nQ+B+4MPAE/uucYm63w+8edGyZwI3L6jrzu7nHgZDFtP+5v5vgS8Cd3UHxMbFdXbzr2JwBscD066z\ne9++AtzR/bx3cY2zbMthbQP8LoMPJ4Andcfd/d1x+JwZvM8/yeBP8rsWtOOrgDefOEaBt3RtdyeD\nL8J/YgZ1Dn0fF9UZBv/k6IHu2J2fdp1dHU9mEN5PW7Bs5u3J4MPnCPBfXW5exeA7on3Awe7xzG7d\neeB9C7Z9U3ec3g+8cbl9eQWtJDXAK2glqQGGvSQ1wLCXpAYY9pLUAMNekhpg2EtSAwx7SWqAYS9J\nDfgfS9fLKUqMYTsAAAAASUVORK5CYII=\n",
+      "text/latex": [
+       "$\\mathcal{N}(\\mu=0, \\sigma=1),\\ N=1000$"
+      ],
+      "text/plain": [
+       "<__main__.Gaussian at 0x11a614e80>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# that is deffinitively wrong as it shoudl show the PNG. \n",
+    "display(Gaussian())"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "In the above example, the 3 mimetypes are embeded in the notebook document this allowing custom extensions and converters to display the representation(s) of their choice.\n",
+    "\n",
+    "For example, converting this noetebook to _epub_ may decide to use the MathML representation as most ebook reader cannot run mathjax (unlike browsers). \n",
+    "\n",
+    "\n",
+    "### Implementation guidelines\n",
+    "\n",
+    "The `_repr_mimebundle_` methods is also given two keywords parameters :  `include` and `exclude`. Each can be a  containers (e.g.:`list`, `set` ...) of mimetypes to return or `None`, This allows implementation to avoid computing potentially unnecessary and expensive mimetypes representations. \n",
+    "\n",
+    "When `include` is non-empty (empty `list` or None), `_repr_mimebundle_` may decide to returns only the mimetypes in include.\n",
+    "When `exclude` is non-empty, `_repr_mimebundle_` may decide to not return any mimetype in exclude. \n",
+    "If both `include` and `exclude` and overlap, mimetypes present in exclude may not be returned. \n",
+    "\n",
+    "If implementations decide to ignore the `include` and `exclude` logic and always returns a full mimebundles, the IPython kernel will take care of removing non-desired representations.\n",
+    "\n",
+    "The `_repr_mimebundle_` method should accept arbitrary keyword arguments for future compatiility.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/latex": [
+       "$\\mathcal{N}(\\mu=0, \\sigma=1),\\ N=1000$"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "display(Gaussian(), include={'text/latex'}) # only show latex"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/mathml+xml": "\n        <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n          <mrow class=\"MJX-TeXAtom-ORD\">\n            <mi class=\"MJX-tex-caligraphic\" mathvariant=\"script\">N</mi>\n          </mrow>\n          <mo stretchy=\"false\">(</mo>\n          <mi>&#x03BC;<!-- μ --></mi>\n          <mo>=</mo>\n          <mn>0.0</mn>\n          <mo>,</mo>\n          <mi>&#x03C3;<!-- σ --></mi>\n          <mo>=</mo>\n          <mn>1</mn>\n          <mo stretchy=\"false\">)</mo>\n          <mo>,</mo>\n          <mtext>&#xA0;</mtext>\n          <mi>N</mi>\n          <mo>=</mo>\n          <mn>1000</mn>\n        </math>\n        ",
+      "text/latex": [
+       "$\\mathcal{N}(\\mu=0, \\sigma=1),\\ N=1000$"
+      ],
+      "text/plain": [
+       "<__main__.Gaussian at 0x116fe7550>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "display(Gaussian(), exclude={'image/png'}) # exclude png"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<__main__.Gaussian at 0x11a8a0b38>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "display(Gaussian(), include={'text/plain', 'image/png'}, exclude={'image/png'}) # keep only plain/text"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
     "## More complex display with `_ipython_display_`"
    ]
   },
@@ -1462,9 +884,9 b''
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 25,
    "metadata": {
-    "collapsed": false
+    "collapsed": true
    },
    "outputs": [],
    "source": [
@@ -1494,15 +916,13 b''
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 26,
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<div id=\"4ad544ff-a161-4493-ba2c-f99531e317bd\" style=\"height: 300px; width:80%;\"></div>"
+       "<div id=\"c6929609-3cb6-4443-9574-d9f71791a987\" style=\"height: 300px; width:80%;\"></div>"
       ]
      },
      "metadata": {},
@@ -1515,7 +935,7 b''
        "        require([\"//cdnjs.cloudflare.com/ajax/libs/flot/0.8.2/jquery.flot.min.js\"], function() {\n",
        "          var line = JSON.parse(\"[[0.0, 0.0], [0.20408163265306123, 0.20266793654820095], [0.40816326530612246, 0.39692414892492234], [0.6122448979591837, 0.5747060412161791], [0.8163265306122449, 0.7286347834693503], [1.0204081632653061, 0.8523215697196184], [1.2244897959183674, 0.9406327851124867], [1.4285714285714286, 0.9899030763721239], [1.6326530612244898, 0.9980874821347183], [1.836734693877551, 0.9648463089837632], [2.0408163265306123, 0.8915592304110037], [2.2448979591836737, 0.7812680235262639], [2.4489795918367347, 0.6385503202266021], [2.6530612244897958, 0.469329612777201], [2.857142857142857, 0.28062939951435684], [3.0612244897959187, 0.0802816748428135], [3.2653061224489797, -0.12339813736217871], [3.4693877551020407, -0.3219563150726187], [3.673469387755102, -0.5071517094845144], [3.8775510204081636, -0.6712977935519321], [4.081632653061225, -0.8075816909683364], [4.285714285714286, -0.9103469443107828], [4.4897959183673475, -0.9753282860670456], [4.6938775510204085, -0.9998286683840896], [4.8979591836734695, -0.9828312039256306], [5.1020408163265305, -0.9250413717382029], [5.3061224489795915, -0.8288577363730427], [5.510204081632653, -0.6982723955653996], [5.714285714285714, -0.5387052883861563], [5.918367346938775, -0.35677924089893803], [6.122448979591837, -0.16004508604325057], [6.326530612244898, 0.04333173336868346], [6.530612244897959, 0.2449100710119793], [6.73469387755102, 0.4363234264718193], [6.938775510204081, 0.6096271964908323], [7.142857142857143, 0.7576284153927202], [7.346938775510204, 0.8741842988197335], [7.551020408163265, 0.9544571997387519], [7.755102040816327, 0.9951153947776636], [7.959183673469388, 0.9944713672636168], [8.16326530612245, 0.9525518475314604], [8.36734693877551, 0.8710967034823207], [8.571428571428571, 0.7534867274396376], [8.775510204081632, 0.6046033165061543], [8.979591836734695, 0.43062587038273736], [9.183673469387756, 0.23877531564403087], [9.387755102040817, 0.03701440148506237], [9.591836734693878, -0.1662827938487564], [9.795918367346939, -0.3626784288265488], [10.0, -0.5440211108893699]]\");\n",
        "          console.log(line);\n",
-       "          $.plot(\"#4ad544ff-a161-4493-ba2c-f99531e317bd\", [line]);\n",
+       "          $.plot(\"#c6929609-3cb6-4443-9574-d9f71791a987\", [line]);\n",
        "        });\n",
        "        "
       ]
@@ -1548,9 +968,9 b''
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.4.2"
+   "version": "3.6.0"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 1
 }