bokeh_hover_test.ipynb

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   "source": [
    "## Display hover data in Bokeh scatter plots"
   ]
  },
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   "execution_count": 7,
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    "\"\"\"\n",
    "    Tested on bokeh 0.11.1, pandas 0.18.0\n",
    "    \n",
    "    First plot has no groups and correct hover data, \n",
    "    Second plot has groups but misaligned hover data.\n",
    "    \n",
    "\"\"\"\n",
    "from bokeh.sampledata.autompg import autompg as df\n",
    "from bokeh.charts import Scatter, TimeSeries, output_notebook, show\n",
    "from bokeh.models import HoverTool, BoxZoomTool, ResetTool, CrosshairTool, BoxSelectTool, WheelZoomTool, PreviewSaveTool\n",
    "\n",
    "from bokeh.models.renderers import GlyphRenderer\n",
    "import copy\n",
    "\n",
    "hover = HoverTool(\n",
    "    tooltips = [\n",
    "    (\"cyl\", \"@cyl\"),\n",
    "    (\"displ\", \"@displ\"),\n",
    "    (\"Weight\", \"@weight\"),\n",
    "    (\"Acceleration\", \"@accel\"),\n",
    "    ('Horsepower', '@hp'),\n",
    "    ('MPG', '@mpg'),        \n",
    "    ('Origin', '@origin'),        \n",
    "])\n",
    "\n",
    "tools = [hover, BoxZoomTool(), ResetTool(), CrosshairTool(), BoxSelectTool(), WheelZoomTool(), PreviewSaveTool()] \n",
    "scatter_sans_groups = Scatter(df, x='mpg', y='hp', title=\"Auto MPG\", xlabel=\"Miles Per Gallon\", ylabel=\"Horsepower\", \n",
    "                              tools=tools)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tooltip_fields:  ['cyl', 'displ', 'weight', 'accel', 'hp', 'mpg', 'origin']\n",
      "renderer_fields:  ['x_values', 'chart_index', 'y_values']\n",
      "fields_to_add:  ['cyl', 'displ', 'weight', 'accel', 'hp', 'mpg', 'origin']\n",
      "counts before adding:  [('x_values', 392), ('chart_index', 392), ('y_values', 392)]\n",
      "counts after adding:  [('origin', 392), ('mpg', 392), ('chart_index', 392), ('displ', 392), ('weight', 392), ('hp', 392), ('accel', 392), ('x_values', 392), ('y_values', 392), ('cyl', 392)]\n"
     ]
    }
   ],
   "source": [
    "def patch_renderer(scatter_instance, hover_instance, data_frame):\n",
    "    tooltip_fields = [value[1:] for label, value in hover_instance.tooltips if value[0] == '@']\n",
    "    glyph_renderer = [r for r in scatter_instance.renderers if isinstance(r, GlyphRenderer)][0]\n",
    "    renderer_fields = glyph_renderer.data_source.data.keys()\n",
    "    fields_to_add = [tooltip_field for tooltip_field in tooltip_fields if tooltip_field not in renderer_fields]\n",
    "\n",
    "    print 'tooltip_fields: ', tooltip_fields\n",
    "    print 'renderer_fields: ', renderer_fields\n",
    "    print 'fields_to_add: ', fields_to_add\n",
    "    print 'counts before adding: ', [(key, len(glyph_renderer.data_source.data[key])) for key in glyph_renderer.data_source.data]\n",
    "    \n",
    "    for field in fields_to_add:\n",
    "        glyph_renderer.data_source.data[field] = list(data_frame[field])\n",
    "        \n",
    "    print 'counts after adding: ', [(key, len(glyph_renderer.data_source.data[key])) for key in glyph_renderer.data_source.data]\n",
    "        \n",
    "patch_renderer(scatter_sans_groups, hover, df)"
   ]
  },
  {
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   "execution_count": 9,
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       "<p><code>&lt;Bokeh Notebook handle for <strong>In[9]</strong>&gt;</code></p>"
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       "<bokeh.io._CommsHandle at 0x106f98bd0>"
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    "output_notebook()\n",
    "show(scatter_sans_groups)  # this is correct output"
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   "metadata": {},
   "source": [
    "### Demonstrate problem when groups are introduced"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tooltip_fields:  ['cyl', 'displ', 'weight', 'accel', 'hp', 'mpg', 'origin']\n",
      "renderer_fields:  ['origin', 'x_values', 'chart_index', 'y_values', 'cyl']\n",
      "fields_to_add:  ['displ', 'weight', 'accel', 'hp', 'mpg']\n",
      "counts before adding:  [('origin', 103), ('x_values', 103), ('chart_index', 103), ('y_values', 103), ('cyl', 103)]\n",
      "counts after adding:  [('origin', 103), ('mpg', 392), ('chart_index', 103), ('displ', 392), ('weight', 392), ('hp', 392), ('accel', 392), ('x_values', 103), ('y_values', 103), ('cyl', 103)]\n"
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       "      console.log(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
       "      return null;\n",
       "    }\n",
       "    if (js_urls == null || js_urls.length === 0) {\n",
       "      run_callbacks();\n",
       "      return null;\n",
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       "    console.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
       "    window._bokeh_is_loading = js_urls.length;\n",
       "    for (var i = 0; i < js_urls.length; i++) {\n",
       "      var url = js_urls[i];\n",
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       "      s.src = url;\n",
       "      s.async = false;\n",
       "      s.onreadystatechange = s.onload = function() {\n",
       "        window._bokeh_is_loading--;\n",
       "        if (window._bokeh_is_loading === 0) {\n",
       "          console.log(\"Bokeh: all BokehJS libraries loaded\");\n",
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       "      };\n",
       "      s.onerror = function() {\n",
       "        console.warn(\"failed to load library \" + url);\n",
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       "      console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
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       "  };\n",
       "\n",
       "  var js_urls = ['https://cdn.pydata.org/bokeh/release/bokeh-0.11.1.min.js', 'https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.11.1.min.js', 'https://cdn.pydata.org/bokeh/release/bokeh-compiler-0.11.1.min.js'];\n",
       "\n",
       "  var inline_js = [\n",
       "    function(Bokeh) {\n",
       "      Bokeh.set_log_level(\"info\");\n",
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       "      Bokeh.$(\"#000887bd-c54f-4a13-ba40-53233306ca44\").text(\"BokehJS successfully loaded\");\n",
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       "    function(Bokeh) {\n",
       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-0.11.1.min.css\");\n",
       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-0.11.1.min.css\");\n",
       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.11.1.min.css\");\n",
       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.11.1.min.css\");\n",
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       "\n",
       "  function run_inline_js() {\n",
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       "\n",
       "  if (window._bokeh_is_loading === 0) {\n",
       "    console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "    run_inline_js();\n",
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       "    load_libs(js_urls, function() {\n",
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       "    <div class=\"plotdiv\" id=\"16da1344-6c05-4d16-be6d-63c6866e1e9f\"></div>\n",
       "<script type=\"text/javascript\">\n",
       "  \n",
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       "  \n",
       "    if (typeof (window._bokeh_onload_callbacks) === \"undefined\") {\n",
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       "      window._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
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       "  \n",
       "    function load_libs(js_urls, callback) {\n",
       "      window._bokeh_onload_callbacks.push(callback);\n",
       "      if (window._bokeh_is_loading > 0) {\n",
       "        console.log(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
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       "      if (js_urls == null || js_urls.length === 0) {\n",
       "        run_callbacks();\n",
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       "      console.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
       "      window._bokeh_is_loading = js_urls.length;\n",
       "      for (var i = 0; i < js_urls.length; i++) {\n",
       "        var url = js_urls[i];\n",
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       "        s.src = url;\n",
       "        s.async = false;\n",
       "        s.onreadystatechange = s.onload = function() {\n",
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       "        };\n",
       "        s.onerror = function() {\n",
       "          console.warn(\"failed to load library \" + url);\n",
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       "        console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
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       "    if (element == null) {\n",
       "      console.log(\"Bokeh: ERROR: autoload.js configured with elementid '16da1344-6c05-4d16-be6d-63c6866e1e9f' but no matching script tag was found. \")\n",
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       "  \n",
       "    var js_urls = [];\n",
       "  \n",
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       "      function(Bokeh) {\n",
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      "text/html": [
       "<p><code>&lt;Bokeh Notebook handle for <strong>In[10]</strong>&gt;</code></p>"
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       "<bokeh.io._CommsHandle at 0x1159fdf90>"
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    "# Not sure why hover can't be reused without throwing an error in Scatter, so create hover2\n",
    "hover2 = HoverTool(\n",
    "    tooltips = [\n",
    "    (\"cyl\", \"@cyl\"),\n",
    "    (\"displ\", \"@displ\"),\n",
    "    (\"Weight\", \"@weight\"),\n",
    "    (\"Acceleration\", \"@accel\"),\n",
    "    ('Horsepower', '@hp'),\n",
    "    ('MPG', '@mpg'),        \n",
    "    ('Origin', '@origin'),        \n",
    "])\n",
    "\n",
    "scatter_with_groups = Scatter(df, x='mpg', y='hp', title=\"Auto MPG\", xlabel=\"Miles Per Gallon\", ylabel=\"Horsepower\", \n",
    "                              tools=[hover2],\n",
    "                              color='cyl', marker='origin')\n",
    "patch_renderer(scatter_with_groups, hover2, df)\n",
    "output_notebook()\n",
    "show(scatter_with_groups)\n",
    "\n",
    "# The output plot is incorrect!  Mismatch between # of unique combinations of color and marker (103) \n",
    "# vs. number of total rows (392) in df causes incorrect hover output"
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