Bokeh_tuts/06 - Linking and Interactions.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>06. Linking and Interactions</h2></div>"
   ]
  },
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       "        <a href=\"https://bokeh.org\" target=\"_blank\" class=\"bk-logo bk-logo-small bk-logo-notebook\"></a>\n",
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       "\n",
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       "     \"<div style='background-color: #fdd'>\\n\"+\n",
       "     \"<p>\\n\"+\n",
       "     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
       "     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
       "     \"</p>\\n\"+\n",
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       "     \"</code>\\n\"+\n",
       "     \"</div>\"}};\n",
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       "      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n",
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       "    }\n",
       "  };var element = document.getElementById(\"1001\");\n",
       "  if (element == null) {\n",
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       "    return false;\n",
       "  }\n",
       "\n",
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       "    const element = document.createElement(\"style\");\n",
       "    element.appendChild(document.createTextNode(css));\n",
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       "  \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",
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       "  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",
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Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded() {\n    var el = document.getElementById(\"1001\");\n    if (el != null) {\n      el.textContent = \"BokehJS is loading...\";\n    }\n    if (root.Bokeh !== undefined) {\n      if (el != null) {\n        el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(display_loaded, 100)\n    }\n  }\n\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"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    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error() {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (var i = 0; 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   ],
   "source": [
    "from bokeh.io import output_notebook, show\n",
    "from bokeh.plotting import figure\n",
    "output_notebook()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now that we know from the previous chapter how multiple plots can be placed together in a layout, we can start to look at how different plots can be linked together, or how plots can be linked to widgets. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Linked Interactions\n",
    "\n",
    "It is possible to link various interactions between different Bokeh plots. For instance, the ranges of two (or more) plots can be linked, so that when one of the plots is panned (or zoomed, or otherwise has its range changed) the other plots will update in unison. It is also possible to link selections between two plots, so that when items are selected on one plot, the corresponding items on the second plot also become selected. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Linked panning\n",
    "\n",
    "Linked panning (when multiple plots have ranges that stay in sync) is simple to spell with Bokeh. You simply share the appropriate range objects between two (or more) plots. The example below shows how to accomplish this by linking the ranges of three plots in various ways:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"e137da9d-944d-4256-9057-4bdec2e5d7ad\" data-root-id=\"1110\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
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      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  var docs_json = 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Application\",\"version\":\"2.0.1\"}};\n",
       "  var render_items = [{\"docid\":\"7f65f940-d7d8-4600-8fcf-e4b14dbce781\",\"root_ids\":[\"1110\"],\"roots\":{\"1110\":\"e137da9d-944d-4256-9057-4bdec2e5d7ad\"}}];\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": "1110"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from bokeh.layouts import gridplot\n",
    "\n",
    "x = list(range(11))\n",
    "y0, y1, y2 = x, [10-i for i in x], [abs(i-5) for i in x]\n",
    "\n",
    "plot_options = dict(width=250, plot_height=250, tools='pan,wheel_zoom')\n",
    "\n",
    "# create a new plot\n",
    "s1 = figure(**plot_options)\n",
    "s1.circle(x, y0, size=10, color=\"navy\")\n",
    "\n",
    "# create a new plot and share both ranges\n",
    "s2 = figure(x_range=s1.x_range, y_range=s1.y_range, **plot_options)\n",
    "s2.triangle(x, y1, size=10, color=\"firebrick\")\n",
    "\n",
    "# create a new plot and share only one range\n",
    "s3 = figure(x_range=s1.x_range, **plot_options)\n",
    "s3.square(x, y2, size=10, color=\"olive\")\n",
    "\n",
    "p = gridplot([[s1, s2, s3]])\n",
    "\n",
    "# show the results\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# EXERCISE: create two plots in a gridplot, and link their ranges\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Linked brushing\n",
    "\n",
    "Linking selections is accomplished in a similar way, by sharing data sources between plots. Note that normally with ``bokeh.plotting`` and ``bokeh.charts`` creating a default data source for simple plots is handled automatically. However to share a data source, we must create them by hand and pass them explicitly. This is illustrated in the example below:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
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      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"4005a1c3-d92e-4849-9a22-cd23056a871c\" data-root-id=\"1367\"></div>\n"
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       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  var docs_json = {\"e7091d01-d89f-4f0d-8dbe-a9128d27563e\":{\"roots\":{\"references\":[{\"attributes\":{\"children\":[{\"id\":\"1366\"},{\"id\":\"1364\"}]},\"id\":\"1367\",\"type\":\"Column\"},{\"attributes\":{},\"id\":\"1290\",\"type\":\"BasicTicker\"},{\"attributes\":{\"formatter\":{\"id\":\"1346\"},\"ticker\":{\"id\":\"1294\"}},\"id\":\"1293\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"1312\",\"type\":\"DataRange1d\"},{\"attributes\":{\"overlay\":{\"id\":\"1300\"}},\"id\":\"1297\",\"type\":\"BoxSelectTool\"},{\"attributes\":{},\"id\":\"1330\",\"type\":\"HelpTool\"},{\"attributes\":{},\"id\":\"1294\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"1316\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"1344\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"axis\":{\"id\":\"1289\"},\"ticker\":null},\"id\":\"1292\",\"type\":\"Grid\"},{\"attributes\":{\"axis\":{\"id\":\"1293\"},\"dimension\":1,\"ticker\":null},\"id\":\"1296\",\"type\":\"Grid\"},{\"attributes\":{\"bottom_units\":\"screen\",\"fill_alpha\":0.5,\"fill_color\":\"lightgrey\",\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":1.0,\"line_color\":\"black\",\"line_dash\":[4,4],\"line_width\":2,\"render_mode\":\"css\",\"right_units\":\"screen\",\"top_units\":\"screen\"},\"id\":\"1331\",\"type\":\"BoxAnnotation\"},{\"attributes\":{},\"id\":\"1299\",\"type\":\"HelpTool\"},{\"attributes\":{\"below\":[{\"id\":\"1289\"}],\"center\":[{\"id\":\"1292\"},{\"id\":\"1296\"}],\"left\":[{\"id\":\"1293\"}],\"plot_height\":300,\"plot_width\":300,\"renderers\":[{\"id\":\"1309\"}],\"title\":{\"id\":\"1342\"},\"toolbar\":{\"id\":\"1302\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"1281\"},\"x_scale\":{\"id\":\"1285\"},\"y_range\":{\"id\":\"1283\"},\"y_scale\":{\"id\":\"1287\"}},\"id\":\"1280\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_multi\":null,\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"1297\"},{\"id\":\"1298\"},{\"id\":\"1299\"}]},\"id\":\"1302\",\"type\":\"Toolbar\"},{\"attributes\":{\"fill_color\":{\"value\":\"#1f77b4\"},\"line_color\":{\"value\":\"#1f77b4\"},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y1\"}},\"id\":\"1338\",\"type\":\"Circle\"},{\"attributes\":{\"overlay\":{\"id\":\"1301\"}},\"id\":\"1298\",\"type\":\"LassoSelectTool\"},{\"attributes\":{},\"id\":\"1346\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"text\":\"\"},\"id\":\"1353\",\"type\":\"Title\"},{\"attributes\":{\"formatter\":{\"id\":\"1355\"},\"ticker\":{\"id\":\"1321\"}},\"id\":\"1320\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"1314\",\"type\":\"DataRange1d\"},{\"attributes\":{\"fill_alpha\":0.5,\"fill_color\":\"lightgrey\",\"level\":\"overlay\",\"line_alpha\":1.0,\"line_color\":\"black\",\"line_dash\":[4,4],\"line_width\":2,\"xs_units\":\"screen\",\"ys_units\":\"screen\"},\"id\":\"1332\",\"type\":\"PolyAnnotation\"},{\"attributes\":{},\"id\":\"1318\",\"type\":\"LinearScale\"},{\"attributes\":{\"overlay\":{\"id\":\"1331\"}},\"id\":\"1328\",\"type\":\"BoxSelectTool\"},{\"attributes\":{},\"id\":\"1321\",\"type\":\"BasicTicker\"},{\"attributes\":{\"data_source\":{\"id\":\"1279\"},\"glyph\":{\"id\":\"1338\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1339\"},\"selection_glyph\":null,\"view\":{\"id\":\"1341\"}},\"id\":\"1340\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"axis\":{\"id\":\"1320\"},\"ticker\":null},\"id\":\"1323\",\"type\":\"Grid\"},{\"attributes\":{\"source\":{\"id\":\"1279\"}},\"id\":\"1341\",\"type\":\"CDSView\"},{\"attributes\":{\"formatter\":{\"id\":\"1357\"},\"ticker\":{\"id\":\"1325\"}},\"id\":\"1324\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"1325\",\"type\":\"BasicTicker\"},{\"attributes\":{\"axis\":{\"id\":\"1324\"},\"dimension\":1,\"ticker\":null},\"id\":\"1327\",\"type\":\"Grid\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y1\"}},\"id\":\"1339\",\"type\":\"Circle\"},{\"attributes\":{\"overlay\":{\"id\":\"1332\"}},\"id\":\"1329\",\"type\":\"LassoSelectTool\"},{\"attributes\":{},\"id\":\"1355\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_multi\":null,\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"1328\"},{\"id\":\"1329\"},{\"id\":\"1330\"}]},\"id\":\"1333\",\"type\":\"Toolbar\"},{\"attributes\":{\"toolbars\":[{\"id\":\"1302\"},{\"id\":\"1333\"}],\"tools\":[{\"id\":\"1297\"},{\"id\":\"1298\"},{\"id\":\"1299\"},{\"id\":\"1328\"},{\"id\":\"1329\"},{\"id\":\"1330\"}]},\"id\":\"1365\",\"type\":\"ProxyToolbar\"},{\"attributes\":{\"text\":\"\"},\"id\":\"1342\",\"type\":\"Title\"},{\"attributes\":{\"toolbar\":{\"id\":\"1365\"},\"toolbar_location\":\"above\"},\"id\":\"1366\",\"type\":\"ToolbarBox\"},{\"attributes\":{},\"id\":\"1357\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"bottom_units\":\"screen\",\"fill_alpha\":0.5,\"fill_color\":\"lightgrey\",\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":1.0,\"line_color\":\"black\",\"line_dash\":[4,4],\"line_width\":2,\"render_mode\":\"css\",\"right_units\":\"screen\",\"top_units\":\"screen\"},\"id\":\"1300\",\"type\":\"BoxAnnotation\"},{\"attributes\":{\"data\":{\"x\":[-20,-19,-18,-17,-16,-15,-14,-13,-12,-11,-10,-9,-8,-7,-6,-5,-4,-3,-2,-1,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20],\"y0\":[20,19,18,17,16,15,14,13,12,11,10,9,8,7,6,5,4,3,2,1,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20],\"y1\":[400,361,324,289,256,225,196,169,144,121,100,81,64,49,36,25,16,9,4,1,0,1,4,9,16,25,36,49,64,81,100,121,144,169,196,225,256,289,324,361,400]},\"selected\":{\"id\":\"1351\"},\"selection_policy\":{\"id\":\"1350\"}},\"id\":\"1279\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"1281\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"1350\",\"type\":\"UnionRenderers\"},{\"attributes\":{},\"id\":\"1287\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"1351\",\"type\":\"Selection\"},{\"attributes\":{\"fill_color\":{\"value\":\"#1f77b4\"},\"line_color\":{\"value\":\"#1f77b4\"},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y0\"}},\"id\":\"1307\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"1283\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"1285\",\"type\":\"LinearScale\"},{\"attributes\":{\"formatter\":{\"id\":\"1344\"},\"ticker\":{\"id\":\"1290\"}},\"id\":\"1289\",\"type\":\"LinearAxis\"},{\"attributes\":{\"fill_alpha\":0.5,\"fill_color\":\"lightgrey\",\"level\":\"overlay\",\"line_alpha\":1.0,\"line_color\":\"black\",\"line_dash\":[4,4],\"line_width\":2,\"xs_units\":\"screen\",\"ys_units\":\"screen\"},\"id\":\"1301\",\"type\":\"PolyAnnotation\"},{\"attributes\":{\"data_source\":{\"id\":\"1279\"},\"glyph\":{\"id\":\"1307\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1308\"},\"selection_glyph\":null,\"view\":{\"id\":\"1310\"}},\"id\":\"1309\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"children\":[[{\"id\":\"1280\"},0,0],[{\"id\":\"1311\"},0,1]]},\"id\":\"1364\",\"type\":\"GridBox\"},{\"attributes\":{\"source\":{\"id\":\"1279\"}},\"id\":\"1310\",\"type\":\"CDSView\"},{\"attributes\":{\"below\":[{\"id\":\"1320\"}],\"center\":[{\"id\":\"1323\"},{\"id\":\"1327\"}],\"left\":[{\"id\":\"1324\"}],\"plot_height\":300,\"plot_width\":300,\"renderers\":[{\"id\":\"1340\"}],\"title\":{\"id\":\"1353\"},\"toolbar\":{\"id\":\"1333\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"1312\"},\"x_scale\":{\"id\":\"1316\"},\"y_range\":{\"id\":\"1314\"},\"y_scale\":{\"id\":\"1318\"}},\"id\":\"1311\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y0\"}},\"id\":\"1308\",\"type\":\"Circle\"}],\"root_ids\":[\"1367\"]},\"title\":\"Bokeh Application\",\"version\":\"2.0.1\"}};\n",
       "  var render_items = [{\"docid\":\"e7091d01-d89f-4f0d-8dbe-a9128d27563e\",\"root_ids\":[\"1367\"],\"roots\":{\"1367\":\"4005a1c3-d92e-4849-9a22-cd23056a871c\"}}];\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": "1367"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from bokeh.models import ColumnDataSource\n",
    "\n",
    "x = list(range(-20, 21))\n",
    "y0, y1 = [abs(xx) for xx in x], [xx**2 for xx in x]\n",
    "\n",
    "# create a column data source for the plots to share\n",
    "source = ColumnDataSource(data=dict(x=x, y0=y0, y1=y1))\n",
    "\n",
    "TOOLS = \"box_select,lasso_select,help\"\n",
    "\n",
    "# create a new plot and add a renderer\n",
    "left = figure(tools=TOOLS, width=300, height=300)\n",
    "left.circle('x', 'y0', source=source)\n",
    "\n",
    "# create another new plot and add a renderer\n",
    "right = figure(tools=TOOLS, width=300, height=300)\n",
    "right.circle('x', 'y1', source=source)\n",
    "\n",
    "p = gridplot([[left, right]])\n",
    "\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# EXERCISE: create two plots in a gridplot, and link their data sources\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Hover Tools\n",
    "\n",
    "Bokeh has a Hover Tool that allows additional information to be displayed in a popup whenever the user hovers over a specific glyph. Basic hover tool configuration amounts to providing a list of ``(name, format)`` tuples. The full details can be found in the User's Guide [here](https://bokeh.pydata.org/en/latest/docs/user_guide/tools.html#hovertool).\n",
    "\n",
    "The example below shows some basic usage of the Hover tool with a circle glyph, using hover information defined in utils.py:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"325ab0a7-1f04-497b-8a17-5bfc63027a8b\" data-root-id=\"1522\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  var docs_json = {\"40c7ed13-851c-4aed-8341-3beecb5644ad\":{\"roots\":{\"references\":[{\"attributes\":{\"below\":[{\"id\":\"1533\"}],\"center\":[{\"id\":\"1536\"},{\"id\":\"1540\"}],\"left\":[{\"id\":\"1537\"}],\"plot_height\":300,\"plot_width\":300,\"renderers\":[{\"id\":\"1546\"}],\"title\":{\"id\":\"1523\"},\"toolbar\":{\"id\":\"1541\"},\"x_range\":{\"id\":\"1525\"},\"x_scale\":{\"id\":\"1529\"},\"y_range\":{\"id\":\"1527\"},\"y_scale\":{\"id\":\"1531\"}},\"id\":\"1522\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"source\":{\"id\":\"1520\"}},\"id\":\"1547\",\"type\":\"CDSView\"},{\"attributes\":{\"axis\":{\"id\":\"1533\"},\"ticker\":null},\"id\":\"1536\",\"type\":\"Grid\"},{\"attributes\":{\"formatter\":{\"id\":\"1593\"},\"ticker\":{\"id\":\"1538\"}},\"id\":\"1537\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"1538\",\"type\":\"BasicTicker\"},{\"attributes\":{\"axis\":{\"id\":\"1537\"},\"dimension\":1,\"ticker\":null},\"id\":\"1540\",\"type\":\"Grid\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_multi\":null,\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"1521\"}]},\"id\":\"1541\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"1593\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"callback\":null,\"tooltips\":[[\"index\",\"$index\"],[\"(x,y)\",\"($x, $y)\"],[\"desc\",\"@desc\"]]},\"id\":\"1521\",\"type\":\"HoverTool\"},{\"attributes\":{},\"id\":\"1531\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"1591\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"formatter\":{\"id\":\"1591\"},\"ticker\":{\"id\":\"1534\"}},\"id\":\"1533\",\"type\":\"LinearAxis\"},{\"attributes\":{\"data\":{\"desc\":[\"A\",\"b\",\"C\",\"d\",\"E\"],\"x\":[1,2,3,4,5],\"y\":[2,5,8,2,7]},\"selected\":{\"id\":\"1596\"},\"selection_policy\":{\"id\":\"1595\"}},\"id\":\"1520\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"1534\",\"type\":\"BasicTicker\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":20},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1545\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"1595\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"text\":\"Mouse over the dots\"},\"id\":\"1523\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"1596\",\"type\":\"Selection\"},{\"attributes\":{\"data_source\":{\"id\":\"1520\"},\"glyph\":{\"id\":\"1544\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1545\"},\"selection_glyph\":null,\"view\":{\"id\":\"1547\"}},\"id\":\"1546\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"1527\",\"type\":\"DataRange1d\"},{\"attributes\":{\"fill_color\":{\"value\":\"#1f77b4\"},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":20},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1544\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"1525\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"1529\",\"type\":\"LinearScale\"}],\"root_ids\":[\"1522\"]},\"title\":\"Bokeh Application\",\"version\":\"2.0.1\"}};\n",
       "  var render_items = [{\"docid\":\"40c7ed13-851c-4aed-8341-3beecb5644ad\",\"root_ids\":[\"1522\"],\"roots\":{\"1522\":\"325ab0a7-1f04-497b-8a17-5bfc63027a8b\"}}];\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": "1522"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from bokeh.models import HoverTool\n",
    "\n",
    "source = ColumnDataSource(\n",
    "        data=dict(\n",
    "            x=[1, 2, 3, 4, 5],\n",
    "            y=[2, 5, 8, 2, 7],\n",
    "            desc=['A', 'b', 'C', 'd', 'E'],\n",
    "        )\n",
    "    )\n",
    "\n",
    "hover = HoverTool(\n",
    "        tooltips=[\n",
    "            (\"index\", \"$index\"),\n",
    "            (\"(x,y)\", \"($x, $y)\"),\n",
    "            (\"desc\", \"@desc\"),\n",
    "        ]\n",
    "    )\n",
    "\n",
    "p = figure(plot_width=300, plot_height=300, tools=[hover], title=\"Mouse over the dots\")\n",
    "\n",
    "p.circle('x', 'y', size=20, source=source)\n",
    "\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Widgets"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Bokeh supports direct integration with a small basic widget set. These can be used in conjunction with a Bokeh Server, or with ``CustomJS`` models to add more interactive capability to your documents. You can see a complete list, with example code in the [Adding Widgets](https://bokeh.pydata.org/en/latest/docs/user_guide/interaction.html#adding-widgets) section of the User's Guide. \n",
    "\n",
    "\n",
    "\n",
    "*NOTE: In this Tutorial chapter, we will focus on using widgets with JavaScript callbacks. The Tutorial chapter on Bokeh server applications covers using Bokeh widgets with real Python callbacks*\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "To use the widgets, include them in a layout like you would a plot object:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"258495c3-040a-4f53-9609-5b2cd93e3def\" data-root-id=\"1639\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  var docs_json = {\"23208dd1-32cd-4771-b043-e8b266a2643d\":{\"roots\":{\"references\":[{\"attributes\":{\"end\":10,\"format\":\"0[.]00\",\"start\":0,\"step\":0.1,\"title\":\"foo\",\"value\":1},\"id\":\"1639\",\"type\":\"Slider\"}],\"root_ids\":[\"1639\"]},\"title\":\"Bokeh Application\",\"version\":\"2.0.1\"}};\n",
       "  var render_items = [{\"docid\":\"23208dd1-32cd-4771-b043-e8b266a2643d\",\"root_ids\":[\"1639\"],\"roots\":{\"1639\":\"258495c3-040a-4f53-9609-5b2cd93e3def\"}}];\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": "1639"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from bokeh.models.widgets import Slider\n",
    "\n",
    "\n",
    "slider = Slider(start=0, end=10, value=1, step=.1, title=\"foo\")\n",
    "\n",
    "show(slider)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# EXERCISE: create and show a Select widget \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# CustomJS Callbacks\n",
    "\n",
    "In order for a widget to be useful, it needs to be able to perform some action. Using the Bokeh server, it is possible to have widgets trigger real Python code. That possibility will be explored in the Bokeh server chapter of the tutorial. Here, we look at how widgets can be configured with `CustomJS` callbacks that execute snippets of JavaScript code. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"518c4467-0330-432b-87f0-27804a98aef0\" data-root-id=\"1691\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  var docs_json = {\"26e1a425-8362-4e84-82dc-f0f092f06571\":{\"roots\":{\"references\":[{\"attributes\":{\"below\":[{\"id\":\"1700\"}],\"center\":[{\"id\":\"1703\"},{\"id\":\"1707\"}],\"left\":[{\"id\":\"1704\"}],\"plot_height\":300,\"renderers\":[{\"id\":\"1713\"}],\"title\":{\"id\":\"1764\"},\"toolbar\":{\"id\":\"1708\"},\"x_range\":{\"id\":\"1692\"},\"x_scale\":{\"id\":\"1696\"},\"y_range\":{\"id\":\"1694\"},\"y_scale\":{\"id\":\"1698\"}},\"id\":\"1691\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"1696\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"1694\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"1701\",\"type\":\"BasicTicker\"},{\"attributes\":{\"axis\":{\"id\":\"1700\"},\"ticker\":null},\"id\":\"1703\",\"type\":\"Grid\"},{\"attributes\":{\"callback\":{\"id\":\"1689\"}},\"id\":\"1690\",\"type\":\"TapTool\"},{\"attributes\":{\"axis\":{\"id\":\"1704\"},\"dimension\":1,\"ticker\":null},\"id\":\"1707\",\"type\":\"Grid\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_multi\":null,\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"1690\"}]},\"id\":\"1708\",\"type\":\"Toolbar\"},{\"attributes\":{\"data_source\":{\"id\":\"1710\"},\"glyph\":{\"id\":\"1711\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1712\"},\"selection_glyph\":null,\"view\":{\"id\":\"1714\"}},\"id\":\"1713\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":20},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1712\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"1770\",\"type\":\"UnionRenderers\"},{\"attributes\":{},\"id\":\"1768\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"code\":\"alert('you tapped a circle!')\"},\"id\":\"1689\",\"type\":\"CustomJS\"},{\"attributes\":{},\"id\":\"1705\",\"type\":\"BasicTicker\"},{\"attributes\":{\"formatter\":{\"id\":\"1768\"},\"ticker\":{\"id\":\"1705\"}},\"id\":\"1704\",\"type\":\"LinearAxis\"},{\"attributes\":{\"fill_color\":{\"value\":\"#1f77b4\"},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":20},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1711\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"1698\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"1766\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"1692\",\"type\":\"DataRange1d\"},{\"attributes\":{\"source\":{\"id\":\"1710\"}},\"id\":\"1714\",\"type\":\"CDSView\"},{\"attributes\":{\"text\":\"\"},\"id\":\"1764\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"1771\",\"type\":\"Selection\"},{\"attributes\":{\"formatter\":{\"id\":\"1766\"},\"ticker\":{\"id\":\"1701\"}},\"id\":\"1700\",\"type\":\"LinearAxis\"},{\"attributes\":{\"data\":{\"x\":[1,2,3,4,5],\"y\":[2,5,8,2,7]},\"selected\":{\"id\":\"1771\"},\"selection_policy\":{\"id\":\"1770\"}},\"id\":\"1710\",\"type\":\"ColumnDataSource\"}],\"root_ids\":[\"1691\"]},\"title\":\"Bokeh Application\",\"version\":\"2.0.1\"}};\n",
       "  var render_items = [{\"docid\":\"26e1a425-8362-4e84-82dc-f0f092f06571\",\"root_ids\":[\"1691\"],\"roots\":{\"1691\":\"518c4467-0330-432b-87f0-27804a98aef0\"}}];\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": "1691"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from bokeh.models import TapTool, CustomJS, ColumnDataSource\n",
    "\n",
    "callback = CustomJS(code=\"alert('you tapped a circle!')\")\n",
    "tap = TapTool(callback=callback)\n",
    "\n",
    "p = figure(plot_width=600, plot_height=300, tools=[tap])\n",
    "\n",
    "p.circle(x=[1, 2, 3, 4, 5], y=[2, 5, 8, 2, 7], size=20)\n",
    "\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## CustomJS for Property changes\n",
    "\n",
    "Bokeh objects that have values associated can have small JavaScript actions attached to them using the `js_on_change` method. These actions (also referred to as \"callbacks\") are executed whenever the widget's value is changed. In order to make it easier to refer to specific Bokeh models (e.g., a data source, or a glyph) from JavaScript, the ``CustomJS`` object also accepts a dictionary of \"args\" that map names to Python Bokeh models. The corresponding JavaScript models are made available automatically to the ``CustomJS`` code:\n",
    "\n",
    "```python\n",
    "CustomJS(args=dict(source=source, slider=slider), code=\"\"\"\n",
    "    // easily refer to BokehJS source and slider objects in this JS code\n",
    "    var data = source.data;\n",
    "    var f = slider.value;\n",
    "\"\"\")\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Slider widget example\n",
    "\n",
    "The example below shows an action attached to a slider that updates a data source whenever the slider is moved.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"79471667-1042-4a22-b131-c3d4e903e964\" data-root-id=\"1859\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  var docs_json = {\"a37fe8fe-bb93-4eb4-a3d1-08cb8bdf6d83\":{\"roots\":{\"references\":[{\"attributes\":{\"children\":[{\"id\":\"1857\"},{\"id\":\"1821\"}]},\"id\":\"1859\",\"type\":\"Column\"},{\"attributes\":{},\"id\":\"1838\",\"type\":\"PanTool\"},{\"attributes\":{\"axis\":{\"id\":\"1830\"},\"ticker\":null},\"id\":\"1833\",\"type\":\"Grid\"},{\"attributes\":{\"formatter\":{\"id\":\"1921\"},\"ticker\":{\"id\":\"1835\"}},\"id\":\"1834\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"1835\",\"type\":\"BasicTicker\"},{\"attributes\":{\"axis\":{\"id\":\"1834\"},\"dimension\":1,\"ticker\":null},\"id\":\"1837\",\"type\":\"Grid\"},{\"attributes\":{\"args\":{\"slider\":{\"id\":\"1857\"},\"source\":{\"id\":\"1820\"}},\"code\":\"\\n    var data = source.data;\\n    var f = slider.value;\\n    var x = data['x']\\n    var y = data['y']\\n    for (var i = 0; i < x.length; i++) {\\n        y[i] = Math.pow(x[i], f)\\n    }\\n    \\n    // necessary becasue we mutated source.data in-place\\n    source.change.emit();\\n\"},\"id\":\"1858\",\"type\":\"CustomJS\"},{\"attributes\":{},\"id\":\"1839\",\"type\":\"WheelZoomTool\"},{\"attributes\":{},\"id\":\"1843\",\"type\":\"HelpTool\"},{\"attributes\":{},\"id\":\"1923\",\"type\":\"UnionRenderers\"},{\"attributes\":{},\"id\":\"1841\",\"type\":\"SaveTool\"},{\"attributes\":{},\"id\":\"1924\",\"type\":\"Selection\"},{\"attributes\":{\"overlay\":{\"id\":\"1844\"}},\"id\":\"1840\",\"type\":\"BoxZoomTool\"},{\"attributes\":{\"line_alpha\":0.6,\"line_color\":\"#1f77b4\",\"line_width\":3,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1853\",\"type\":\"Line\"},{\"attributes\":{},\"id\":\"1842\",\"type\":\"ResetTool\"},{\"attributes\":{\"text\":\"\"},\"id\":\"1917\",\"type\":\"Title\"},{\"attributes\":{\"end\":6,\"format\":\"0[.]00\",\"js_property_callbacks\":{\"change:value\":[{\"id\":\"1858\"}]},\"start\":0.1,\"step\":0.1,\"title\":\"power\",\"value\":1},\"id\":\"1857\",\"type\":\"Slider\"},{\"attributes\":{},\"id\":\"1921\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"#1f77b4\",\"line_width\":3,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1854\",\"type\":\"Line\"},{\"attributes\":{},\"id\":\"1831\",\"type\":\"BasicTicker\"},{\"attributes\":{\"data\":{\"x\":[0.0,0.005,0.01,0.015,0.02,0.025,0.03,0.035,0.04,0.045,0.05,0.055,0.06,0.065,0.07,0.075,0.08,0.085,0.09,0.095,0.1,0.105,0.11,0.115,0.12,0.125,0.13,0.135,0.14,0.145,0.15,0.155,0.16,0.165,0.17,0.17500000000000002,0.18,0.185,0.19,0.195,0.2,0.20500000000000002,0.21,0.215,0.22,0.225,0.23,0.23500000000000001,0.24,0.245,0.25,0.255,0.26,0.265,0.27,0.275,0.28,0.28500000000000003,0.29,0.295,0.3,0.305,0.31,0.315,0.32,0.325,0.33,0.335,0.34,0.34500000000000003,0.35000000000000003,0.355,0.36,0.365,0.37,0.375,0.38,0.385,0.39,0.395,0.4,0.405,0.41000000000000003,0.41500000000000004,0.42,0.425,0.43,0.435,0.44,0.445,0.45,0.455,0.46,0.465,0.47000000000000003,0.47500000000000003,0.48,0.485,0.49,0.495,0.5,0.505,0.51,0.515,0.52,0.525,0.53,0.535,0.54,0.545,0.55,0.555,0.56,0.5650000000000001,0.5700000000000001,0.5750000000000001,0.58,0.585,0.59,0.595,0.6,0.605,0.61,0.615,0.62,0.625,0.63,0.635,0.64,0.645,0.65,0.655,0.66,0.665,0.67,0.675,0.68,0.685,0.6900000000000001,0.6950000000000001,0.7000000000000001,0.705,0.71,0.715,0.72,0.725,0.73,0.735,0.74,0.745,0.75,0.755,0.76,0.765,0.77,0.775,0.78,0.785,0.79,0.795,0.8,0.805,0.81,0.8150000000000001,0.8200000000000001,0.8250000000000001,0.8300000000000001,0.835,0.84,0.845,0.85,0.855,0.86,0.865,0.87,0.875,0.88,0.885,0.89,0.895,0.9,0.905,0.91,0.915,0.92,0.925,0.93,0.935,0.9400000000000001,0.9450000000000001,0.9500000000000001,0.9550000000000001,0.96,0.965,0.97,0.975,0.98,0.985,0.99,0.995,1.0],\"y\":[0.0,0.005,0.01,0.015,0.02,0.025,0.03,0.035,0.04,0.045,0.05,0.055,0.06,0.065,0.07,0.075,0.08,0.085,0.09,0.095,0.1,0.105,0.11,0.115,0.12,0.125,0.13,0.135,0.14,0.145,0.15,0.155,0.16,0.165,0.17,0.17500000000000002,0.18,0.185,0.19,0.195,0.2,0.20500000000000002,0.21,0.215,0.22,0.225,0.23,0.23500000000000001,0.24,0.245,0.25,0.255,0.26,0.265,0.27,0.275,0.28,0.28500000000000003,0.29,0.295,0.3,0.305,0.31,0.315,0.32,0.325,0.33,0.335,0.34,0.34500000000000003,0.35000000000000003,0.355,0.36,0.365,0.37,0.375,0.38,0.385,0.39,0.395,0.4,0.405,0.41000000000000003,0.41500000000000004,0.42,0.425,0.43,0.435,0.44,0.445,0.45,0.455,0.46,0.465,0.47000000000000003,0.47500000000000003,0.48,0.485,0.49,0.495,0.5,0.505,0.51,0.515,0.52,0.525,0.53,0.535,0.54,0.545,0.55,0.555,0.56,0.5650000000000001,0.5700000000000001,0.5750000000000001,0.58,0.585,0.59,0.595,0.6,0.605,0.61,0.615,0.62,0.625,0.63,0.635,0.64,0.645,0.65,0.655,0.66,0.665,0.67,0.675,0.68,0.685,0.6900000000000001,0.6950000000000001,0.7000000000000001,0.705,0.71,0.715,0.72,0.725,0.73,0.735,0.74,0.745,0.75,0.755,0.76,0.765,0.77,0.775,0.78,0.785,0.79,0.795,0.8,0.805,0.81,0.8150000000000001,0.8200000000000001,0.8250000000000001,0.8300000000000001,0.835,0.84,0.845,0.85,0.855,0.86,0.865,0.87,0.875,0.88,0.885,0.89,0.895,0.9,0.905,0.91,0.915,0.92,0.925,0.93,0.935,0.9400000000000001,0.9450000000000001,0.9500000000000001,0.9550000000000001,0.96,0.965,0.97,0.975,0.98,0.985,0.99,0.995,1.0]},\"selected\":{\"id\":\"1924\"},\"selection_policy\":{\"id\":\"1923\"}},\"id\":\"1820\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"data_source\":{\"id\":\"1820\"},\"glyph\":{\"id\":\"1853\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1854\"},\"selection_glyph\":null,\"view\":{\"id\":\"1856\"}},\"id\":\"1855\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"below\":[{\"id\":\"1830\"}],\"center\":[{\"id\":\"1833\"},{\"id\":\"1837\"}],\"left\":[{\"id\":\"1834\"}],\"plot_height\":400,\"plot_width\":400,\"renderers\":[{\"id\":\"1855\"}],\"title\":{\"id\":\"1917\"},\"toolbar\":{\"id\":\"1845\"},\"x_range\":{\"id\":\"1822\"},\"x_scale\":{\"id\":\"1826\"},\"y_range\":{\"id\":\"1824\"},\"y_scale\":{\"id\":\"1828\"}},\"id\":\"1821\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"1919\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_multi\":null,\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"1838\"},{\"id\":\"1839\"},{\"id\":\"1840\"},{\"id\":\"1841\"},{\"id\":\"1842\"},{\"id\":\"1843\"}]},\"id\":\"1845\",\"type\":\"Toolbar\"},{\"attributes\":{\"bottom_units\":\"screen\",\"fill_alpha\":0.5,\"fill_color\":\"lightgrey\",\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":1.0,\"line_color\":\"black\",\"line_dash\":[4,4],\"line_width\":2,\"render_mode\":\"css\",\"right_units\":\"screen\",\"top_units\":\"screen\"},\"id\":\"1844\",\"type\":\"BoxAnnotation\"},{\"attributes\":{\"source\":{\"id\":\"1820\"}},\"id\":\"1856\",\"type\":\"CDSView\"},{\"attributes\":{},\"id\":\"1826\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"1822\",\"type\":\"DataRange1d\"},{\"attributes\":{\"formatter\":{\"id\":\"1919\"},\"ticker\":{\"id\":\"1831\"}},\"id\":\"1830\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"1824\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"1828\",\"type\":\"LinearScale\"}],\"root_ids\":[\"1859\"]},\"title\":\"Bokeh Application\",\"version\":\"2.0.1\"}};\n",
       "  var render_items = [{\"docid\":\"a37fe8fe-bb93-4eb4-a3d1-08cb8bdf6d83\",\"root_ids\":[\"1859\"],\"roots\":{\"1859\":\"79471667-1042-4a22-b131-c3d4e903e964\"}}];\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": "1859"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from bokeh.layouts import column\n",
    "from bokeh.models import CustomJS, ColumnDataSource, Slider\n",
    "\n",
    "x = [x*0.005 for x in range(0, 201)]\n",
    "\n",
    "source = ColumnDataSource(data=dict(x=x, y=x))\n",
    "\n",
    "plot = figure(plot_width=400, plot_height=400)\n",
    "plot.line('x', 'y', source=source, line_width=3, line_alpha=0.6)\n",
    "\n",
    "slider = Slider(start=0.1, end=6, value=1, step=.1, title=\"power\")\n",
    "\n",
    "update_curve = CustomJS(args=dict(source=source, slider=slider), code=\"\"\"\n",
    "    var data = source.data;\n",
    "    var f = slider.value;\n",
    "    var x = data['x']\n",
    "    var y = data['y']\n",
    "    for (var i = 0; i < x.length; i++) {\n",
    "        y[i] = Math.pow(x[i], f)\n",
    "    }\n",
    "    \n",
    "    // necessary becasue we mutated source.data in-place\n",
    "    source.change.emit();\n",
    "\"\"\")\n",
    "slider.js_on_change('value', update_curve)\n",
    "\n",
    "\n",
    "show(column(slider, plot))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Exercise: Create a plot that updates based on a Select widget\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Data selection example\n",
    "\n",
    "It's also possible to make JavaScript actions that execute whenever a user selection (e.g., box, point, lasso) changes. This is done by attaching the same kind of CustomJS object to whatever data source the selection is made on.\n",
    "\n",
    "The example below is a bit more sophisticated, and demonstrates updating one glyph's data source in response to another glyph's selection: "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"35b6ed41-fc93-4a8f-a500-8dc7fbc96f40\" data-root-id=\"1981\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  var docs_json = 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{\"id\":\"2090\"}},\"id\":\"1980\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"1993\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"1990\",\"type\":\"LinearScale\"},{\"attributes\":{\"overlay\":{\"id\":\"2001\"}},\"id\":\"2000\",\"type\":\"LassoSelectTool\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"orange\",\"line_width\":5,\"x\":{\"field\":\"xm\"},\"y\":{\"field\":\"ym\"}},\"id\":\"2013\",\"type\":\"Line\"},{\"attributes\":{\"line_alpha\":0.6,\"line_color\":\"orange\",\"line_width\":5,\"x\":{\"field\":\"xm\"},\"y\":{\"field\":\"ym\"}},\"id\":\"2012\",\"type\":\"Line\"},{\"attributes\":{},\"id\":\"1997\",\"type\":\"BasicTicker\"},{\"attributes\":{\"source\":{\"id\":\"2010\"}},\"id\":\"2015\",\"type\":\"CDSView\"},{\"attributes\":{},\"id\":\"1988\",\"type\":\"LinearScale\"},{\"attributes\":{\"formatter\":{\"id\":\"2087\"},\"ticker\":{\"id\":\"1997\"}},\"id\":\"1996\",\"type\":\"LinearAxis\"},{\"attributes\":{\"js_property_callbacks\":{\"change:indices\":[{\"id\":\"2016\"}]}},\"id\":\"2017\",\"type\":\"Selection\"},{\"attributes\":{\"formatter\":{\"id\":\"2085\"},\"ticker\":{\"id\":\"1993\"}},\"id\":\"1992\",\"type\":\"LinearAxis\"}],\"root_ids\":[\"1981\"]},\"title\":\"Bokeh Application\",\"version\":\"2.0.1\"}};\n",
       "  var render_items = [{\"docid\":\"28be63aa-fb84-431b-9b9b-8057f45ac74b\",\"root_ids\":[\"1981\"],\"roots\":{\"1981\":\"35b6ed41-fc93-4a8f-a500-8dc7fbc96f40\"}}];\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": "1981"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from random import random\n",
    "\n",
    "x = [random() for x in range(500)]\n",
    "y = [random() for y in range(500)]\n",
    "color = [\"navy\"] * len(x)\n",
    "\n",
    "s1 = ColumnDataSource(data=dict(x=x, y=y, color=color))\n",
    "p = figure(plot_width=400, plot_height=400, tools=\"lasso_select\", title=\"Select Here\")\n",
    "p.circle('x', 'y', color='color', size=8, alpha=0.4, source=s1, \n",
    "         selection_color=\"firebrick\", selection_alpha=0.4)\n",
    "\n",
    "s2 = ColumnDataSource(data=dict(xm=[0,1],ym=[0.5, 0.5]))\n",
    "p.line(x='xm', y='ym', color=\"orange\", line_width=5, alpha=0.6, source=s2)\n",
    "\n",
    "callback = CustomJS(args=dict(s1=s1, s2=s2), code=\"\"\"\n",
    "    var inds = s1.selected.indices;\n",
    "    if (inds.length == 0)\n",
    "        return;\n",
    "\n",
    "    var ym = 0\n",
    "    for (var i = 0; i < inds.length; i++) {\n",
    "        ym += s1.data.y[inds[i]]\n",
    "    }\n",
    "    \n",
    "    ym /= inds.length\n",
    "    s2.data.ym = [ym, ym]\n",
    "\n",
    "    // necessary becasue we mutated source.data in-place\n",
    "    s2.change.emit();  \n",
    "\"\"\")\n",
    "\n",
    "s1.selected.js_on_change('indices', callback)\n",
    "\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Exercise: Experiment with selection callbacks\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## CustomJS for UI Events\n",
    "\n",
    "Bokeh also has a general events system\n",
    "\n",
    "All of the available UI events, and their properties, are listed in the Reference Guide section for [bokeh.events](https://bokeh.pydata.org/en/latest/docs/reference/events.html)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"d28c2974-9f19-4950-b41c-a6578823a2fb\" data-root-id=\"2183\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  var docs_json = 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\",\"dtype\":\"float64\",\"shape\":[2000]},\"y\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[2000]}},\"selected\":{\"id\":\"2270\"},\"selection_policy\":{\"id\":\"2269\"}},\"id\":\"2175\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":null},\"radius\":{\"units\":\"data\",\"value\":1},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"2177\",\"type\":\"Circle\"},{\"attributes\":{\"args\":{\"div\":{\"id\":\"2180\"}},\"code\":\"\\ndiv.text = \\\"Selection! <p> <p>\\\" + JSON.stringify(cb_obj.geometry, undefined, 2);\\n\"},\"id\":\"2185\",\"type\":\"CustomJS\"},{\"attributes\":{\"children\":[{\"id\":\"2154\"},{\"id\":\"2180\"}]},\"id\":\"2182\",\"type\":\"Row\"},{\"attributes\":{\"source\":{\"id\":\"2175\"}},\"id\":\"2179\",\"type\":\"CDSView\"},{\"attributes\":{\"args\":{\"div\":{\"id\":\"2180\"}},\"code\":\"\\ndiv.text = \\\"Button!\\\";\\n\"},\"id\":\"2184\",\"type\":\"CustomJS\"},{\"attributes\":{\"data_source\":{\"id\":\"2175\"},\"glyph\":{\"id\":\"2176\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"2177\"},\"selection_glyph\":null,\"view\":{\"id\":\"2179\"}},\"id\":\"2178\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"2159\",\"type\":\"LinearScale\"},{\"attributes\":{\"overlay\":{\"id\":\"2172\"}},\"id\":\"2171\",\"type\":\"BoxSelectTool\"},{\"attributes\":{},\"id\":\"2157\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"2161\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"2269\",\"type\":\"UnionRenderers\"},{\"attributes\":{},\"id\":\"2155\",\"type\":\"DataRange1d\"},{\"attributes\":{\"formatter\":{\"id\":\"2266\"},\"ticker\":{\"id\":\"2168\"}},\"id\":\"2167\",\"type\":\"LinearAxis\"},{\"attributes\":{\"formatter\":{\"id\":\"2264\"},\"ticker\":{\"id\":\"2164\"}},\"id\":\"2163\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"2168\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"2164\",\"type\":\"BasicTicker\"}],\"root_ids\":[\"2183\"]},\"title\":\"Bokeh Application\",\"version\":\"2.0.1\"}};\n",
       "  var render_items = [{\"docid\":\"80dd25ce-fdb3-46b5-a09c-e7688d602236\",\"root_ids\":[\"2183\"],\"roots\":{\"2183\":\"d28c2974-9f19-4950-b41c-a6578823a2fb\"}}];\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": "2183"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from bokeh.plotting import figure\n",
    "from bokeh import events\n",
    "from bokeh.models import CustomJS, Div, Button\n",
    "from bokeh.layouts import column, row\n",
    "\n",
    "import numpy as np\n",
    "x = np.random.random(size=2000) * 100\n",
    "y = np.random.random(size=2000) * 100\n",
    "\n",
    "p = figure(tools=\"box_select\")\n",
    "p.scatter(x, y, radius=1, fill_alpha=0.6, line_color=None)\n",
    "\n",
    "div = Div(width=400)\n",
    "button = Button(label=\"Button\", width=300)\n",
    "layout = column(button, row(p, div))\n",
    "\n",
    "# Events with no attributes\n",
    "button.js_on_event(events.ButtonClick,  CustomJS(args=dict(div=div), code=\"\"\"\n",
    "div.text = \"Button!\";\n",
    "\"\"\")) \n",
    "\n",
    "p.js_on_event(events.SelectionGeometry, CustomJS(args=dict(div=div), code=\"\"\"\n",
    "div.text = \"Selection! <p> <p>\" + JSON.stringify(cb_obj.geometry, undefined, 2);\n",
    "\"\"\"))\n",
    "\n",
    "show(layout)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Exercise: Create a plot that responds to different events from bokeh.events\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Additional Information\n",
    "\n",
    "There are many kinds of interactions and events that can be connected to `CustomJS` callbacks. \n",
    "\n",
    "\n",
    "* Widgets - Button, Toggle, Dropdown, TextInput, AutocompleteInput, Select, Multiselect, Slider, (DateRangeSlider), DatePicker,\n",
    "* Tools - TapTool, BoxSelectTool, HoverTool,\n",
    "* Selection - ColumnDataSource, AjaxDataSource, BlazeDataSource, ServerDataSource\n",
    "* Ranges - Range1d, DataRange1d, FactorRange\n",
    "\n",
    "\n",
    "For more complete examples the User Guide section on [JavaScript Interactions](https://bokeh.pydata.org/en/latest/docs/user_guide/interaction.html)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Next Section"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Click on this link to go to the next notebook: [07 - Bar and Categorical Data Plots](07%20-%20Bar%20and%20Categorical%20Data%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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