Bokeh/08 - Graph and Network Plots.ipynb

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    "<table style=\"float:left; border:none\">\n",
    "   <tr style=\"border:none\">\n",
    "       <td style=\"border:none\">\n",
    "           <a href=\"https://bokeh.org/\">     \n",
    "           <img \n",
    "               src=\"assets/bokeh-transparent.png\" \n",
    "               style=\"width:50px\"\n",
    "           >\n",
    "           </a>    \n",
    "       </td>\n",
    "       <td style=\"border:none\">\n",
    "           <h1>Bokeh Tutorial</h1>\n",
    "       </td>\n",
    "   </tr>\n",
    "</table>\n",
    "\n",
    "<div style=\"float:right;\"><h2>08. Graph and Network Plots</h2></div>"
   ]
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   "source": [
    "This chapter will cover how to plot network node/link graphs in Bokeh using NetworkX. For information on creating graph renderers from a low level, see [Visualizing Network Graphs](https://docs.bokeh.org/en/latest/docs/user_guide/graph.html)\n"
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i < css_urls.length; i++) {\n      var url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    const hashes = {\"https://cdn.bokeh.org/bokeh/release/bokeh-2.0.1.min.js\": \"JpP8FXbgAZLkfur7LiK3j9AGBhHNIvF742meBJrjO2ShJDhCG2I1uVvW+0DUtrmc\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.0.1.min.js\": \"xZlADit0Q04ISQEdKg2k3L4W9AwQBAuDs9nJL9fM/WwzL1tEU9VPNezOFX0nLEAz\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.0.1.min.js\": \"4BuPRZkdMKSnj3zoxiNrQ86XgNw0rYmBOxe7nshquXwwcauupgBF2DHLVG1WuZlV\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.0.1.min.js\": \"Dv1SQ87hmDqK6S5OhBf0bCuwAEvL5QYL0PuR/F1SPVhCS/r/abjkbpKDYL2zeM19\"};\n\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      if (url in hashes) {\n        element.crossOrigin = \"anonymous\";\n        element.integrity = \"sha384-\" + hashes[url];\n      }\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };var element = document.getElementById(\"1001\");\n  if (element == null) {\n    console.error(\"Bokeh: ERROR: autoload.js configured with elementid '1001' but no matching script tag was found. \")\n    return false;\n  }\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  \n  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.0.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.0.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.0.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.0.1.min.js\"];\n  var css_urls = [];\n  \n\n  var inline_js = [\n    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\n    function(Bokeh) {\n    \n    \n    }\n  ];\n\n  function run_inline_js() {\n    \n    if (root.Bokeh !== undefined || force === true) {\n      \n    for (var i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\n    if (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      var cell = $(document.getElementById(\"1001\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from bokeh.io import show, output_notebook\n",
    "from bokeh.plotting import figure\n",
    "\n",
    "output_notebook()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plotting from NetworkX\n",
    "\n",
    "The easiest way to plot network graphs with Bokeh is to use the `from_networkx` function. This function accepts any NetworkX graph and returns a Bokeh `GraphRenderer` that can be added to a plot. The `GraphRenderer` has `node_renderer` and `edge_renderer` properties that contain the Bokeh renderers that draw the nodes and edges, respectively. \n",
    "\n",
    "The example below shows a Bokeh plot of `nx.desargues_graph()`, setting some of the node and edge properties."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"287e2448-5aa8-4de4-879b-11b6f8280e46\" data-root-id=\"1004\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  var docs_json = {\"d4dbe452-03f6-4209-8bc7-57d2c5e76be5\":{\"roots\":{\"references\":[{\"attributes\":{\"renderers\":[{\"id\":\"1007\"}],\"title\":{\"id\":\"1026\"},\"toolbar\":{\"id\":\"1028\"},\"x_range\":{\"id\":\"1002\"},\"x_scale\":{\"id\":\"1025\"},\"y_range\":{\"id\":\"1003\"},\"y_scale\":{\"id\":\"1027\"}},\"id\":\"1004\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"1042\",\"type\":\"Selection\"},{\"attributes\":{},\"id\":\"1041\",\"type\":\"UnionRenderers\"},{\"attributes\":{},\"id\":\"1025\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"1029\",\"type\":\"NodesOnly\"},{\"attributes\":{\"end\":2,\"start\":-2},\"id\":\"1003\",\"type\":\"Range1d\"},{\"attributes\":{\"end\":2,\"start\":-2},\"id\":\"1002\",\"type\":\"Range1d\"},{\"attributes\":{},\"id\":\"1027\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"1038\",\"type\":\"NodesOnly\"},{\"attributes\":{\"data\":{\"end\":[1,19,5,2,16,3,11,4,14,5,9,6,7,15,8,18,9,13,10,11,19,12,13,17,14,15,16,17,18,19],\"start\":[0,0,0,1,1,2,2,3,3,4,4,5,6,6,7,7,8,8,9,10,10,11,12,12,13,14,15,16,17,18]},\"selected\":{\"id\":\"1040\"},\"selection_policy\":{\"id\":\"1039\"}},\"id\":\"1013\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"data_source\":{\"id\":\"1013\"},\"glyph\":{\"id\":\"1012\"},\"hover_glyph\":null,\"muted_glyph\":null,\"view\":{\"id\":\"1015\"}},\"id\":\"1014\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"fill_color\":{\"value\":\"orange\"},\"size\":{\"units\":\"screen\",\"value\":20}},\"id\":\"1008\",\"type\":\"Circle\"},{\"attributes\":{\"line_dash\":[2,2]},\"id\":\"1012\",\"type\":\"MultiLine\"},{\"attributes\":{\"graph_layout\":{\"0\":[-1.1042342270583827,-1.1358203033156933],\"1\":[-0.32528538882698,-1.7994753213588925],\"10\":[-1.625670493253707,0.8619054556698852],\"11\":[-0.9937202605143635,0.18131834718760223],\"12\":[0.22787948925992138,0.36722672691041464],\"13\":[1.1168440806216449,1.1183473694056227],\"14\":[1.6157242120675364,0.1547889930386424],\"15\":[1.61261258064872,-0.8611365542446111],\"16\":[0.7754992820567755,-1.6394034299170748],\"17\":[0.3146902597398338,-0.7525670875693947],\"18\":[-0.49184158969092406,0.06231601538197338],\"19\":[-1.616014837453719,-0.17249304477551114],\"2\":[-0.4659406014608107,-0.8636140545286619],\"3\":[0.4815995343541902,-0.0836919751599053],\"4\":[-0.31234089232066437,0.7291976828651057],\"5\":[-0.19796639546974296,-0.3605636780163431],\"6\":[0.9946709677016442,-0.11662921985543172],\"7\":[0.4435326518309118,0.8939251155381592],\"8\":[0.3302811789520167,1.8],\"9\":[-0.7803195511838985,1.6163689627441111]}},\"id\":\"1016\",\"type\":\"StaticLayoutProvider\"},{\"attributes\":{\"data\":{\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19]},\"selected\":{\"id\":\"1042\"},\"selection_policy\":{\"id\":\"1041\"}},\"id\":\"1009\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"source\":{\"id\":\"1009\"}},\"id\":\"1011\",\"type\":\"CDSView\"},{\"attributes\":{\"source\":{\"id\":\"1013\"}},\"id\":\"1015\",\"type\":\"CDSView\"},{\"attributes\":{\"text\":\"\"},\"id\":\"1026\",\"type\":\"Title\"},{\"attributes\":{\"edge_renderer\":{\"id\":\"1014\"},\"inspection_policy\":{\"id\":\"1029\"},\"layout_provider\":{\"id\":\"1016\"},\"node_renderer\":{\"id\":\"1010\"},\"selection_policy\":{\"id\":\"1038\"}},\"id\":\"1007\",\"type\":\"GraphRenderer\"},{\"attributes\":{},\"id\":\"1039\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_multi\":null,\"active_scroll\":\"auto\",\"active_tap\":\"auto\"},\"id\":\"1028\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"1040\",\"type\":\"Selection\"},{\"attributes\":{\"data_source\":{\"id\":\"1009\"},\"glyph\":{\"id\":\"1008\"},\"hover_glyph\":null,\"muted_glyph\":null,\"view\":{\"id\":\"1011\"}},\"id\":\"1010\",\"type\":\"GlyphRenderer\"}],\"root_ids\":[\"1004\"]},\"title\":\"Bokeh Application\",\"version\":\"2.0.1\"}};\n",
       "  var render_items = [{\"docid\":\"d4dbe452-03f6-4209-8bc7-57d2c5e76be5\",\"root_ids\":[\"1004\"],\"roots\":{\"1004\":\"287e2448-5aa8-4de4-879b-11b6f8280e46\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else {\n",
       "        attempts++;\n",
       "        if (attempts > 100) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "1004"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import networkx as nx\n",
    "from bokeh.models import Range1d, Plot\n",
    "from bokeh.plotting import from_networkx\n",
    "\n",
    "G = nx.desargues_graph()\n",
    "\n",
    "# We could use figure here but don't want all the axes and titles\n",
    "plot = Plot(x_range=Range1d(-2, 2), y_range=Range1d(-2, 2))\n",
    "\n",
    "# Create a Bokeh graph from the NetworkX input using nx.spring_layout\n",
    "graph = from_networkx(G, nx.spring_layout, scale=1.8, center=(0,0))\n",
    "plot.renderers.append(graph)\n",
    "\n",
    "# Set some of the default node glyph (Circle) properties\n",
    "graph.node_renderer.glyph.update(size=20, fill_color=\"orange\")\n",
    "\n",
    "# Set some edge properties too\n",
    "graph.edge_renderer.glyph.line_dash = [2,2]\n",
    "\n",
    "show(plot)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Exercise: try a different NetworkX layout, and set some properies on `graph.edge_renderer.glyph` \n",
    "# and `graph.node_renderer.glyph`\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Adding Extra Data Columns.\n",
    "\n",
    "The `node_renderer` and `edge_renderer` properties of the graph renderer each have a `data_source` that is a standard `ColumnDataSource` that you can add new data to, e.g. to drive a hover tool, or to specify colors for the renderer. The example below demonstates both."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"896a11db-a60e-4aee-8654-2958666ba64c\" data-root-id=\"1173\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  var docs_json = {\"e8d65793-b5c5-4264-a983-2cf19d800507\":{\"roots\":{\"references\":[{\"attributes\":{\"renderers\":[{\"id\":\"1176\"}],\"title\":{\"id\":\"1219\"},\"toolbar\":{\"id\":\"1199\"},\"x_range\":{\"id\":\"1171\"},\"x_scale\":{\"id\":\"1218\"},\"y_range\":{\"id\":\"1172\"},\"y_scale\":{\"id\":\"1220\"}},\"id\":\"1173\",\"type\":\"Plot\"},{\"attributes\":{\"data_source\":{\"id\":\"1182\"},\"glyph\":{\"id\":\"1181\"},\"hover_glyph\":null,\"muted_glyph\":null,\"view\":{\"id\":\"1184\"}},\"id\":\"1183\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"fill_color\":{\"field\":\"colors\"},\"size\":{\"units\":\"screen\",\"value\":20}},\"id\":\"1177\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"1218\",\"type\":\"LinearScale\"},{\"attributes\":{\"edge_renderer\":{\"id\":\"1183\"},\"inspection_policy\":{\"id\":\"1222\"},\"layout_provider\":{\"id\":\"1185\"},\"node_renderer\":{\"id\":\"1179\"},\"selection_policy\":{\"id\":\"1231\"}},\"id\":\"1176\",\"type\":\"GraphRenderer\"},{\"attributes\":{},\"id\":\"1234\",\"type\":\"UnionRenderers\"},{\"attributes\":{},\"id\":\"1235\",\"type\":\"Selection\"},{\"attributes\":{},\"id\":\"1220\",\"type\":\"LinearScale\"},{\"attributes\":{\"text\":\"\"},\"id\":\"1219\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"1222\",\"type\":\"NodesOnly\"},{\"attributes\":{\"data\":{\"end\":[1,19,5,2,16,3,11,4,14,5,9,6,7,15,8,18,9,13,10,11,19,12,13,17,14,15,16,17,18,19],\"start\":[0,0,0,1,1,2,2,3,3,4,4,5,6,6,7,7,8,8,9,10,10,11,12,12,13,14,15,16,17,18]},\"selected\":{\"id\":\"1233\"},\"selection_policy\":{\"id\":\"1232\"}},\"id\":\"1182\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"1231\",\"type\":\"NodesOnly\"},{\"attributes\":{\"callback\":null,\"tooltips\":\"index: @index\"},\"id\":\"1198\",\"type\":\"HoverTool\"},{\"attributes\":{\"data_source\":{\"id\":\"1178\"},\"glyph\":{\"id\":\"1177\"},\"hover_glyph\":null,\"muted_glyph\":null,\"view\":{\"id\":\"1180\"}},\"id\":\"1179\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"end\":2,\"start\":-2},\"id\":\"1171\",\"type\":\"Range1d\"},{\"attributes\":{\"data\":{\"colors\":[\"#1f77b4\",\"#aec7e8\",\"#ff7f0e\",\"#ffbb78\",\"#2ca02c\",\"#98df8a\",\"#d62728\",\"#ff9896\",\"#9467bd\",\"#c5b0d5\",\"#8c564b\",\"#c49c94\",\"#e377c2\",\"#f7b6d2\",\"#7f7f7f\",\"#c7c7c7\",\"#bcbd22\",\"#dbdb8d\",\"#17becf\",\"#9edae5\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19]},\"selected\":{\"id\":\"1235\"},\"selection_policy\":{\"id\":\"1234\"}},\"id\":\"1178\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"end\":2,\"start\":-2},\"id\":\"1172\",\"type\":\"Range1d\"},{\"attributes\":{\"source\":{\"id\":\"1178\"}},\"id\":\"1180\",\"type\":\"CDSView\"},{\"attributes\":{\"source\":{\"id\":\"1182\"}},\"id\":\"1184\",\"type\":\"CDSView\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_multi\":null,\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"1198\"}]},\"id\":\"1199\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"1181\",\"type\":\"MultiLine\"},{\"attributes\":{\"graph_layout\":{\"0\":[1.0515968362707657,-1.255341561322923],\"1\":[0.004529336305524424,-1.5528293849193473],\"10\":[0.17700868741796563,0.8835039305391639],\"11\":[-0.9181924731316187,0.5375484026992642],\"12\":[-1.8000000000000003,0.48995537611432627],\"13\":[-1.0534431239036623,1.2598999721436945],\"14\":[-0.3618883739150459,0.37249250484267554],\"15\":[-0.17880110261021936,-0.8896662248563576],\"16\":[-0.9805627702247748,-1.484911991465559],\"17\":[-1.689784752921127,-0.6388597818793655],\"18\":[-0.7331052032293595,-0.3792878309018295],\"19\":[0.3618672511929743,-0.37518842056369683],\"2\":[-0.15904602080640082,-0.3415316511030135],\"3\":[0.7393935700888642,0.3888562655401655],\"4\":[1.693239258433371,0.6504186501218778],\"5\":[1.7999207404597233,-0.4966205304129801],\"6\":[0.9209952330094453,-0.5391817075928242],\"7\":[0.16903182235239397,0.3429042529331822],\"8\":[-0.014912216313250633,1.5415313824254366],\"9\":[0.9721533015244336,1.4863083476581085]}},\"id\":\"1185\",\"type\":\"StaticLayoutProvider\"},{\"attributes\":{},\"id\":\"1232\",\"type\":\"UnionRenderers\"},{\"attributes\":{},\"id\":\"1233\",\"type\":\"Selection\"}],\"root_ids\":[\"1173\"]},\"title\":\"Bokeh Application\",\"version\":\"2.0.1\"}};\n",
       "  var render_items = [{\"docid\":\"e8d65793-b5c5-4264-a983-2cf19d800507\",\"root_ids\":[\"1173\"],\"roots\":{\"1173\":\"896a11db-a60e-4aee-8654-2958666ba64c\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else {\n",
       "        attempts++;\n",
       "        if (attempts > 100) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "1173"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from bokeh.models import HoverTool\n",
    "from bokeh.palettes import Category20_20\n",
    "\n",
    "G = nx.desargues_graph() # always 20 nodes\n",
    "\n",
    "# We could use figure here but don't want all the axes and titles\n",
    "plot = Plot(x_range=Range1d(-2, 2), y_range=Range1d(-2, 2))\n",
    "\n",
    "# Create a Bokeh graph from the NetworkX input using nx.spring_layout\n",
    "graph = from_networkx(G, nx.spring_layout, scale=1.8, center=(0,0))\n",
    "plot.renderers.append(graph)\n",
    "\n",
    "# Add some new columns to the node renderer data source\n",
    "graph.node_renderer.data_source.data['index'] = list(range(len(G)))\n",
    "graph.node_renderer.data_source.data['colors'] = Category20_20\n",
    "\n",
    "graph.node_renderer.glyph.update(size=20, fill_color=\"colors\")\n",
    "\n",
    "plot.add_tools(HoverTool(tooltips=\"index: @index\"))\n",
    "\n",
    "show(plot)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Exercise: Add your own columns for other node or edge properties e.g. fill_alpha or line_color,\n",
    "# or to show other fields in a tooltoip\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Inspection and Selection Policies\n",
    "\n",
    "Bokeh graph renderers have `inspection_policy` and `selection_policy` properties. These can be used to control how hover inspections highlight the graph, or how selection tools make selections. These properties may be set to any of the inpection policies in `bokeh.graphs`. For instance, if a user hovers over a node, you may wish to highlight all the associated edges as well. This can be accomplished by setting the inspection policy:\n",
    "\n",
    "    graph.inspection_policy = NodesAndLinkedEdges()\n",
    "    \n",
    "as the example below demonstrates."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"2638454e-062e-41a6-a49d-f5b673f87110\" data-root-id=\"1366\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  var docs_json = {\"5f81c02f-15f1-4b90-8138-2bbe70eafff7\":{\"roots\":{\"references\":[{\"attributes\":{\"renderers\":[{\"id\":\"1369\"}],\"title\":{\"id\":\"1440\"},\"toolbar\":{\"id\":\"1402\"},\"x_range\":{\"id\":\"1364\"},\"x_scale\":{\"id\":\"1439\"},\"y_range\":{\"id\":\"1365\"},\"y_scale\":{\"id\":\"1441\"}},\"id\":\"1366\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"1453\",\"type\":\"Selection\"},{\"attributes\":{\"data\":{\"end\":[11,7,1,6,3,12,13,11,2,6,10,4,13,12,10,9,12,11,7,8,12,14,12,9,10,8,12,9,13,12],\"start\":[0,0,0,0,0,0,1,1,1,1,2,2,2,3,3,4,4,4,5,5,5,6,6,6,6,7,7,8,10,10]},\"selected\":{\"id\":\"1453\"},\"selection_policy\":{\"id\":\"1452\"}},\"id\":\"1375\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"line_color\":{\"value\":\"#abdda4\"},\"line_width\":{\"value\":4}},\"id\":\"1394\",\"type\":\"MultiLine\"},{\"attributes\":{\"data\":{\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14]},\"selected\":{\"id\":\"1455\"},\"selection_policy\":{\"id\":\"1454\"}},\"id\":\"1371\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"1454\",\"type\":\"UnionRenderers\"},{\"attributes\":{},\"id\":\"1455\",\"type\":\"Selection\"},{\"attributes\":{\"source\":{\"id\":\"1371\"}},\"id\":\"1373\",\"type\":\"CDSView\"},{\"attributes\":{},\"id\":\"1451\",\"type\":\"NodesOnly\"},{\"attributes\":{},\"id\":\"1439\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"1399\",\"type\":\"NodesAndLinkedEdges\"},{\"attributes\":{},\"id\":\"1441\",\"type\":\"LinearScale\"},{\"attributes\":{\"text\":\"\"},\"id\":\"1440\",\"type\":\"Title\"},{\"attributes\":{\"source\":{\"id\":\"1375\"}},\"id\":\"1377\",\"type\":\"CDSView\"},{\"attributes\":{\"fill_color\":{\"value\":\"#2b83ba\"},\"size\":{\"units\":\"screen\",\"value\":25}},\"id\":\"1379\",\"type\":\"Circle\"},{\"attributes\":{\"callback\":null,\"tooltips\":null},\"id\":\"1401\",\"type\":\"HoverTool\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_multi\":null,\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"1401\"}]},\"id\":\"1402\",\"type\":\"Toolbar\"},{\"attributes\":{\"data_source\":{\"id\":\"1371\"},\"glyph\":{\"id\":\"1379\"},\"hover_glyph\":{\"id\":\"1389\"},\"muted_glyph\":null,\"view\":{\"id\":\"1373\"}},\"id\":\"1372\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"line_alpha\":{\"value\":0.8},\"line_color\":{\"value\":\"#cccccc\"},\"line_width\":{\"value\":2}},\"id\":\"1384\",\"type\":\"MultiLine\"},{\"attributes\":{\"edge_renderer\":{\"id\":\"1376\"},\"inspection_policy\":{\"id\":\"1399\"},\"layout_provider\":{\"id\":\"1378\"},\"node_renderer\":{\"id\":\"1372\"},\"selection_policy\":{\"id\":\"1451\"}},\"id\":\"1369\",\"type\":\"GraphRenderer\"},{\"attributes\":{\"data_source\":{\"id\":\"1375\"},\"glyph\":{\"id\":\"1384\"},\"hover_glyph\":{\"id\":\"1394\"},\"muted_glyph\":null,\"view\":{\"id\":\"1377\"}},\"id\":\"1376\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"fill_color\":{\"value\":\"#abdda4\"},\"size\":{\"units\":\"screen\",\"value\":25}},\"id\":\"1389\",\"type\":\"Circle\"},{\"attributes\":{\"graph_layout\":{\"0\":[-0.07348979989817135,0.05449454682370959],\"1\":[-0.848577117308267,0.8596777277579513],\"10\":[-0.4014927048022815,0.7441272939202426],\"11\":[-1.3659332223311402,-0.06737469580507789],\"12\":[0.45775864306475894,-0.30527024838462435],\"13\":[-1.3390248110427074,1.5782708110302275],\"14\":[1.453304851718345,1.6561750142885403],\"2\":[-1.4996520553360426,0.6782768558445251],\"3\":[-0.35207983735933435,-0.33571282848173944],\"4\":[-0.8643162264938244,-0.6041710223563577],\"5\":[1.6889571287678822,-1.1127840984328077],\"6\":[0.4617452903795823,0.5749544582766315],\"7\":[1.0784954883428057,-0.8570180733106607],\"8\":[1.2905485461482438,-1.8],\"9\":[0.3137558261501579,-1.063645741170558]}},\"id\":\"1378\",\"type\":\"StaticLayoutProvider\"},{\"attributes\":{\"end\":2,\"start\":-2},\"id\":\"1364\",\"type\":\"Range1d\"},{\"attributes\":{\"end\":2,\"start\":-2},\"id\":\"1365\",\"type\":\"Range1d\"},{\"attributes\":{},\"id\":\"1452\",\"type\":\"UnionRenderers\"}],\"root_ids\":[\"1366\"]},\"title\":\"Bokeh Application\",\"version\":\"2.0.1\"}};\n",
       "  var render_items = [{\"docid\":\"5f81c02f-15f1-4b90-8138-2bbe70eafff7\",\"root_ids\":[\"1366\"],\"roots\":{\"1366\":\"2638454e-062e-41a6-a49d-f5b673f87110\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else {\n",
       "        attempts++;\n",
       "        if (attempts > 100) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "1366"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from bokeh.models.graphs import NodesAndLinkedEdges\n",
    "from bokeh.models import Circle, HoverTool, MultiLine\n",
    "\n",
    "G = nx.gnm_random_graph(15, 30)\n",
    "\n",
    "# We could use figure here but don't want all the axes and titles\n",
    "plot = Plot(x_range=Range1d(-2, 2), y_range=Range1d(-2 ,2))\n",
    "\n",
    "# Create a Bokeh graph from the NetworkX input using nx.spring_layout\n",
    "graph = from_networkx(G, nx.spring_layout, scale=1.8, center=(0,0))\n",
    "plot.renderers.append(graph)\n",
    "\n",
    "# Blue circles for nodes, and light grey lines for edges\n",
    "graph.node_renderer.glyph = Circle(size=25, fill_color='#2b83ba')\n",
    "graph.edge_renderer.glyph = MultiLine(line_color=\"#cccccc\", line_alpha=0.8, line_width=2)\n",
    "\n",
    "# green hover for both nodes and edges\n",
    "graph.node_renderer.hover_glyph = Circle(size=25, fill_color='#abdda4')\n",
    "graph.edge_renderer.hover_glyph = MultiLine(line_color='#abdda4', line_width=4)\n",
    "\n",
    "# When we hover over nodes, highlight adjecent edges too\n",
    "graph.inspection_policy = NodesAndLinkedEdges()\n",
    "\n",
    "plot.add_tools(HoverTool(tooltips=None))\n",
    "\n",
    "show(plot)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Exercise: try a different inspection (or selection) policy like NodesOnly or EdgesAndLinkedNodes\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Next Section"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Click on this link to go to the next notebook: [09 - Geographic Plots](09%20-%20Geographic%20Plots.ipynb).\n",
    "\n",
    "To go back to the overview, click [here](00%20-%20Introduction%20and%20Setup.ipynb)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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