Bokeh Jupyter Interactors and DataTables.ipynb

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    "Basic Interactor Demo\n",
    "---------------------\n",
    "\n",
    "This demo shows off an interactive visualization using [Bokeh](http://bokeh.pydata.org) for plotting, and Ipython interactors for widgets. The demo runs entirely inside the Ipython notebook, with no Bokeh server required.\n",
    "\n",
    "The dropdown offers a choice of trig functions to plot, and the sliders control the frequency, amplitude, and phase. \n",
    "\n",
    "To run, click on, `Cell->Run All` in the top menu, then scroll to the bottom and move the sliders. "
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   "source": [
    "# from ipywidgets import interact, interactive\n",
    "from ipywidgets import widgets\n",
    "import numpy as np\n",
    "\n",
    "from bokeh.io import push_notebook, show, output_notebook\n",
    "from bokeh.plotting import figure\n",
    "from bokeh.layouts import Row\n",
    "\n",
    "output_notebook()"
   ]
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   "execution_count": 2,
   "metadata": {
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   "source": [
    "x = np.linspace(0, 2*np.pi, 2000)\n",
    "y = np.sin(x)"
   ]
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   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
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   "source": [
    "p = figure(title=\"simple line example\", plot_height=300, plot_width=600, y_range=(-5,5))\n",
    "r = p.line(x, y, color=\"#2222aa\", line_width=3)"
   ]
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   "source": [
    "def update(f, w=1, A=1, phi=0):\n",
    "    # Define your numpy function.\n",
    "    func = eval(\".\".join([\"np\",f]))\n",
    "    r.data_source.data['y'] = A * func(w * x + phi)\n",
    "    push_notebook()"
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   "source": [
    "controls = widgets.interactive(update, f=[\"sin\", \"sinh\", \"cos\", \"cosh\",\"tan\", \"tanh\"], w=(0,100, .01), A=(1,5, .01), phi=(0, 20, 0.1))"
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Application\",\"version\":\"0.12.6\"}};\n",
       "            var render_items = [{\"docid\":\"5bf1147b-de82-412b-a4e9-78361df45304\",\"elementid\":\"89cd4772-4a78-42ee-869e-803a09098c97\",\"modelid\":\"7aad4f1c-7f19-4deb-be37-e54290480fe4\",\"notebook_comms_target\":\"93c71fea-528d-4981-8a8e-e3d916606ab9\"}];\n",
       "            \n",
       "            Bokeh.embed.embed_items(docs_json, render_items);\n",
       "          };\n",
       "          if (document.readyState != \"loading\") fn();\n",
       "          else document.addEventListener(\"DOMContentLoaded\", fn);\n",
       "        })();\n",
       "      },\n",
       "      function(Bokeh) {\n",
       "      }\n",
       "    ];\n",
       "  \n",
       "    function run_inline_js() {\n",
       "      \n",
       "      if ((window.Bokeh !== undefined) || (force === true)) {\n",
       "        for (var i = 0; i < inline_js.length; i++) {\n",
       "          inline_js[i](window.Bokeh);\n",
       "        }if (force === true) {\n",
       "          display_loaded();\n",
       "        }} else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(run_inline_js, 100);\n",
       "      } else if (!window._bokeh_failed_load) {\n",
       "        console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "        window._bokeh_failed_load = true;\n",
       "      } else if (force !== true) {\n",
       "        var cell = $(document.getElementById(\"89cd4772-4a78-42ee-869e-803a09098c97\")).parents('.cell').data().cell;\n",
       "        cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "      }\n",
       "  \n",
       "    }\n",
       "  \n",
       "    if (window._bokeh_is_loading === 0) {\n",
       "      console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "      run_inline_js();\n",
       "    } else {\n",
       "      load_libs(js_urls, function() {\n",
       "        console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "        run_inline_js();\n",
       "      });\n",
       "    }\n",
       "  }(this));\n",
       "</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Widget Javascript not detected.  It may not be installed or enabled properly.\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "d8abbc43d6334790bd07e1670a87f3ba"
      }
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "show(p, notebook_handle=True)\n",
    "display(controls)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <div class=\"bk-plotdiv\" id=\"4b4c9423-c3ae-45f4-bc14-fdab55cfc341\"></div>\n",
       "    </div>\n",
       "<script type=\"text/javascript\">\n",
       "  \n",
       "  (function(global) {\n",
       "    function now() {\n",
       "      return new Date();\n",
       "    }\n",
       "  \n",
       "    var force = false;\n",
       "  \n",
       "    if (typeof (window._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n",
       "      window._bokeh_onload_callbacks = [];\n",
       "      window._bokeh_is_loading = undefined;\n",
       "    }\n",
       "  \n",
       "  \n",
       "    \n",
       "    if (typeof (window._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "      window._bokeh_timeout = Date.now() + 0;\n",
       "      window._bokeh_failed_load = false;\n",
       "    }\n",
       "  \n",
       "    var NB_LOAD_WARNING = {'data': {'text/html':\n",
       "       \"<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",
       "       \"<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",
       "      if (window.Bokeh !== undefined) {\n",
       "        var el = document.getElementById(\"4b4c9423-c3ae-45f4-bc14-fdab55cfc341\");\n",
       "        el.textContent = \"BokehJS \" + Bokeh.version + \" successfully loaded.\";\n",
       "      } else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(display_loaded, 100)\n",
       "      }\n",
       "    }\n",
       "  \n",
       "    function run_callbacks() {\n",
       "      try {\n",
       "        window._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
       "      }\n",
       "      finally {\n",
       "        delete window._bokeh_onload_callbacks\n",
       "      }\n",
       "      console.info(\"Bokeh: all callbacks have finished\");\n",
       "    }\n",
       "  \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",
       "        return null;\n",
       "      }\n",
       "      if (js_urls == null || js_urls.length === 0) {\n",
       "        run_callbacks();\n",
       "        return null;\n",
       "      }\n",
       "      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",
       "        var s = document.createElement('script');\n",
       "        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",
       "            run_callbacks()\n",
       "          }\n",
       "        };\n",
       "        s.onerror = function() {\n",
       "          console.warn(\"failed to load library \" + url);\n",
       "        };\n",
       "        console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "        document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "      }\n",
       "    };var element = document.getElementById(\"4b4c9423-c3ae-45f4-bc14-fdab55cfc341\");\n",
       "    if (element == null) {\n",
       "      console.log(\"Bokeh: ERROR: autoload.js configured with elementid '4b4c9423-c3ae-45f4-bc14-fdab55cfc341' but no matching script tag was found. \")\n",
       "      return false;\n",
       "    }\n",
       "  \n",
       "    var js_urls = [];\n",
       "  \n",
       "    var inline_js = [\n",
       "      function(Bokeh) {\n",
       "        (function() {\n",
       "          var fn = function() {\n",
       "            var docs_json = 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       "            var render_items = [{\"docid\":\"25d579e0-8d3e-4b45-b47c-df1e56ef1679\",\"elementid\":\"4b4c9423-c3ae-45f4-bc14-fdab55cfc341\",\"modelid\":\"602f9fad-2b75-4994-a643-287533b7d995\"}];\n",
       "            \n",
       "            Bokeh.embed.embed_items(docs_json, render_items);\n",
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       "      },\n",
       "      function(Bokeh) {\n",
       "      }\n",
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       "  \n",
       "    function run_inline_js() {\n",
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       "      } else if (!window._bokeh_failed_load) {\n",
       "        console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "        window._bokeh_failed_load = true;\n",
       "      } else if (force !== true) {\n",
       "        var cell = $(document.getElementById(\"4b4c9423-c3ae-45f4-bc14-fdab55cfc341\")).parents('.cell').data().cell;\n",
       "        cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "      }\n",
       "  \n",
       "    }\n",
       "  \n",
       "    if (window._bokeh_is_loading === 0) {\n",
       "      console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "      run_inline_js();\n",
       "    } else {\n",
       "      load_libs(js_urls, function() {\n",
       "        console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "        run_inline_js();\n",
       "      });\n",
       "    }\n",
       "  }(this));\n",
       "</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "from bokeh.plotting import *\n",
    "from bokeh.models import ColumnDataSource\n",
    "\n",
    "# prepare some date\n",
    "N = 300\n",
    "x = np.linspace(0, 4*np.pi, N)\n",
    "y0 = np.sin(x)\n",
    "y1 = np.cos(x)\n",
    "\n",
    "# output to static HTML file\n",
    "# output_file(\"linked_brushing.html\")\n",
    "\n",
    "# NEW: create a column data source for the plots to share\n",
    "source = ColumnDataSource(data=dict(x=x, y0=y0, y1=y1))\n",
    "\n",
    "TOOLS = \"pan,wheel_zoom,box_zoom,reset,save,box_select,lasso_select\"\n",
    "\n",
    "# create a new plot and add a renderer\n",
    "left = figure(tools=TOOLS, width=350, height=350, title=None)\n",
    "left.circle('x', 'y0', source=source)\n",
    "\n",
    "# create another new plot and add a renderer\n",
    "right = figure(tools=TOOLS, width=350, height=350, title=None)\n",
    "right.circle('x', 'y1', source=source)\n",
    "\n",
    "# put the subplots in a gridplot\n",
    "p = gridplot([[left, right]])\n",
    "\n",
    "# show the results\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "      window._bokeh_onload_callbacks = [];\n",
       "      window._bokeh_is_loading = undefined;\n",
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       "  \n",
       "  \n",
       "    \n",
       "    if (typeof (window._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "      window._bokeh_timeout = Date.now() + 0;\n",
       "      window._bokeh_failed_load = false;\n",
       "    }\n",
       "  \n",
       "    var NB_LOAD_WARNING = {'data': {'text/html':\n",
       "       \"<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",
       "       \"<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",
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       "      try {\n",
       "        window._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
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       "      console.info(\"Bokeh: all callbacks have finished\");\n",
       "    }\n",
       "  \n",
       "    function load_libs(js_urls, callback) {\n",
       "      window._bokeh_onload_callbacks.push(callback);\n",
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       "        s.onerror = function() {\n",
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       "    if (element == null) {\n",
       "      console.log(\"Bokeh: ERROR: autoload.js configured with elementid '33dd3eec-04a6-4ab9-a5f6-25ed2ada987f' but no matching script tag was found. \")\n",
       "      return false;\n",
       "    }\n",
       "  \n",
       "    var js_urls = [];\n",
       "  \n",
       "    var inline_js = [\n",
       "      function(Bokeh) {\n",
       "        (function() {\n",
       "          var fn = function() {\n",
       "            var docs_json = 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       "            var render_items = [{\"docid\":\"028a6a75-e987-4099-af6d-1485981a71bd\",\"elementid\":\"33dd3eec-04a6-4ab9-a5f6-25ed2ada987f\",\"modelid\":\"d0331ec6-0f3b-4176-a900-04ac1086740a\"}];\n",
       "            \n",
       "            Bokeh.embed.embed_items(docs_json, render_items);\n",
       "          };\n",
       "          if (document.readyState != \"loading\") fn();\n",
       "          else document.addEventListener(\"DOMContentLoaded\", fn);\n",
       "        })();\n",
       "      },\n",
       "      function(Bokeh) {\n",
       "      }\n",
       "    ];\n",
       "  \n",
       "    function run_inline_js() {\n",
       "      \n",
       "      if ((window.Bokeh !== undefined) || (force === true)) {\n",
       "        for (var i = 0; i < inline_js.length; i++) {\n",
       "          inline_js[i](window.Bokeh);\n",
       "        }if (force === true) {\n",
       "          display_loaded();\n",
       "        }} else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(run_inline_js, 100);\n",
       "      } else if (!window._bokeh_failed_load) {\n",
       "        console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "        window._bokeh_failed_load = true;\n",
       "      } else if (force !== true) {\n",
       "        var cell = $(document.getElementById(\"33dd3eec-04a6-4ab9-a5f6-25ed2ada987f\")).parents('.cell').data().cell;\n",
       "        cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "      }\n",
       "  \n",
       "    }\n",
       "  \n",
       "    if (window._bokeh_is_loading === 0) {\n",
       "      console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "      run_inline_js();\n",
       "    } else {\n",
       "      load_libs(js_urls, function() {\n",
       "        console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "        run_inline_js();\n",
       "      });\n",
       "    }\n",
       "  }(this));\n",
       "</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "from bokeh.plotting import *\n",
    "from bokeh.models import ColumnDataSource\n",
    "\n",
    "# prepare some date\n",
    "N = 300\n",
    "x0 = np.linspace(0, 4*np.pi, N)\n",
    "x1 = np.linspace(0, 2*np.pi, N)\n",
    "y0 = np.sin(x0)\n",
    "y1 = np.sin(x1)\n",
    "\n",
    "# output to static HTML file\n",
    "# output_file(\"linked_brushing.html\")\n",
    "\n",
    "# NEW: create a column data source for the plots to share\n",
    "source = ColumnDataSource(data=dict(x0=x0, x1=x1, y0=y0, y1=y1))\n",
    "\n",
    "TOOLS = \"pan,wheel_zoom,box_zoom,reset,save,box_select,lasso_select\"\n",
    "\n",
    "# create a new plot and add a renderer\n",
    "left = figure(tools=TOOLS, width=350, height=350, title=None)\n",
    "left.circle('x0', 'y0', source=source)\n",
    "\n",
    "# create another new plot and add a renderer\n",
    "right = figure(tools=TOOLS, width=350, height=350, title=None)\n",
    "right.circle('x1', 'y1', source=source)\n",
    "\n",
    "# put the subplots in a gridplot\n",
    "p = gridplot([[left, right]])\n",
    "\n",
    "# show the results\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <div class=\"bk-plotdiv\" id=\"e17ef65a-85d9-4987-b256-d3a2567d02a2\"></div>\n",
       "    </div>\n",
       "<script type=\"text/javascript\">\n",
       "  \n",
       "  (function(global) {\n",
       "    function now() {\n",
       "      return new Date();\n",
       "    }\n",
       "  \n",
       "    var force = false;\n",
       "  \n",
       "    if (typeof (window._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n",
       "      window._bokeh_onload_callbacks = [];\n",
       "      window._bokeh_is_loading = undefined;\n",
       "    }\n",
       "  \n",
       "  \n",
       "    \n",
       "    if (typeof (window._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "      window._bokeh_timeout = Date.now() + 0;\n",
       "      window._bokeh_failed_load = false;\n",
       "    }\n",
       "  \n",
       "    var NB_LOAD_WARNING = {'data': {'text/html':\n",
       "       \"<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",
       "       \"<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",
       "      if (window.Bokeh !== undefined) {\n",
       "        var el = document.getElementById(\"e17ef65a-85d9-4987-b256-d3a2567d02a2\");\n",
       "        el.textContent = \"BokehJS \" + Bokeh.version + \" successfully loaded.\";\n",
       "      } else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(display_loaded, 100)\n",
       "      }\n",
       "    }\n",
       "  \n",
       "    function run_callbacks() {\n",
       "      try {\n",
       "        window._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
       "      }\n",
       "      finally {\n",
       "        delete window._bokeh_onload_callbacks\n",
       "      }\n",
       "      console.info(\"Bokeh: all callbacks have finished\");\n",
       "    }\n",
       "  \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",
       "        return null;\n",
       "      }\n",
       "      if (js_urls == null || js_urls.length === 0) {\n",
       "        run_callbacks();\n",
       "        return null;\n",
       "      }\n",
       "      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",
       "        var s = document.createElement('script');\n",
       "        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",
       "            run_callbacks()\n",
       "          }\n",
       "        };\n",
       "        s.onerror = function() {\n",
       "          console.warn(\"failed to load library \" + url);\n",
       "        };\n",
       "        console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "        document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "      }\n",
       "    };var element = document.getElementById(\"e17ef65a-85d9-4987-b256-d3a2567d02a2\");\n",
       "    if (element == null) {\n",
       "      console.log(\"Bokeh: ERROR: autoload.js configured with elementid 'e17ef65a-85d9-4987-b256-d3a2567d02a2' but no matching script tag was found. \")\n",
       "      return false;\n",
       "    }\n",
       "  \n",
       "    var js_urls = [];\n",
       "  \n",
       "    var inline_js = [\n",
       "      function(Bokeh) {\n",
       "        (function() {\n",
       "          var fn = function() {\n",
       "            var docs_json = {\"fb5f9451-04d0-4f82-9ba5-ea018fd4a86f\":{\"roots\":{\"references\":[{\"attributes\":{},\"id\":\"9bb6649a-506a-4a4b-9c2b-59da600659d2\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"callback\":null,\"end\":7},\"id\":\"69b4248e-8a4d-4810-ae2d-163ddc7ca478\",\"type\":\"Range1d\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"radius\":{\"units\":\"data\",\"value\":0.5},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"2bb17282-016d-4f91-b265-1f71373734f1\",\"type\":\"Circle\"},{\"attributes\":{\"formatter\":{\"id\":\"134f0f2b-5f81-4679-be46-22d55a224923\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"aa863182-e02c-42eb-8bbf-59d01d531e3f\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"4ce939d9-6cf4-49a5-bfdf-3fb4b9e31fef\",\"type\":\"BasicTicker\"}},\"id\":\"6d032716-8666-4429-abe7-c92e2a46fa3b\",\"type\":\"LinearAxis\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"aa863182-e02c-42eb-8bbf-59d01d531e3f\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"4ce939d9-6cf4-49a5-bfdf-3fb4b9e31fef\",\"type\":\"BasicTicker\"}},\"id\":\"5dff4916-549d-43a0-8e63-cd3ba48deedc\",\"type\":\"Grid\"},{\"attributes\":{\"data_source\":{\"id\":\"5a44e9bb-9b30-4a53-8476-2dab9240eaf8\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"5c9130b1-bee5-474f-ad0c-b21534975166\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"2bb17282-016d-4f91-b265-1f71373734f1\",\"type\":\"Circle\"},\"selection_glyph\":null},\"id\":\"07cb9b19-eeae-455e-adfc-2cc7da482692\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"items\":[{\"id\":\"807e1478-7418-4edb-91f9-551a7f0882d3\",\"type\":\"LegendItem\"}],\"plot\":{\"id\":\"aa863182-e02c-42eb-8bbf-59d01d531e3f\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"35664114-6f08-4365-8b17-c324150f2565\",\"type\":\"Legend\"},{\"attributes\":{\"label\":{\"field\":\"label\"},\"renderers\":[{\"id\":\"07cb9b19-eeae-455e-adfc-2cc7da482692\",\"type\":\"GlyphRenderer\"}]},\"id\":\"807e1478-7418-4edb-91f9-551a7f0882d3\",\"type\":\"LegendItem\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"b2b007db-6239-444b-a308-a097b7c3254d\",\"type\":\"SaveTool\"}]},\"id\":\"bb496a0a-49c8-4905-a588-ca892a4dec2a\",\"type\":\"Toolbar\"},{\"attributes\":{\"plot\":{\"id\":\"aa863182-e02c-42eb-8bbf-59d01d531e3f\",\"subtype\":\"Figure\",\"type\":\"Plot\"}},\"id\":\"b2b007db-6239-444b-a308-a097b7c3254d\",\"type\":\"SaveTool\"},{\"attributes\":{},\"id\":\"4ce939d9-6cf4-49a5-bfdf-3fb4b9e31fef\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"134f0f2b-5f81-4679-be46-22d55a224923\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"151ebdf7-0dd6-4c7f-94f5-357d12defb3d\",\"type\":\"ToolEvents\"},{\"attributes\":{\"plot\":null,\"text\":\"\"},\"id\":\"d08ef346-3e61-4227-85b9-82b9fc12d889\",\"type\":\"Title\"},{\"attributes\":{\"below\":[{\"id\":\"a388c667-8e17-4ab5-9085-8d1e79d12d3f\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"6d032716-8666-4429-abe7-c92e2a46fa3b\",\"type\":\"LinearAxis\"}],\"plot_height\":300,\"renderers\":[{\"id\":\"a388c667-8e17-4ab5-9085-8d1e79d12d3f\",\"type\":\"LinearAxis\"},{\"id\":\"59362680-8537-4f94-ac82-ed21cef2a18d\",\"type\":\"Grid\"},{\"id\":\"6d032716-8666-4429-abe7-c92e2a46fa3b\",\"type\":\"LinearAxis\"},{\"id\":\"5dff4916-549d-43a0-8e63-cd3ba48deedc\",\"type\":\"Grid\"},{\"id\":\"35664114-6f08-4365-8b17-c324150f2565\",\"type\":\"Legend\"},{\"id\":\"07cb9b19-eeae-455e-adfc-2cc7da482692\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"d08ef346-3e61-4227-85b9-82b9fc12d889\",\"type\":\"Title\"},\"tool_events\":{\"id\":\"151ebdf7-0dd6-4c7f-94f5-357d12defb3d\",\"type\":\"ToolEvents\"},\"toolbar\":{\"id\":\"bb496a0a-49c8-4905-a588-ca892a4dec2a\",\"type\":\"Toolbar\"},\"x_range\":{\"id\":\"69b4248e-8a4d-4810-ae2d-163ddc7ca478\",\"type\":\"Range1d\"},\"x_scale\":{\"id\":\"98179a85-44ed-413a-aa62-3a80866f0607\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"84c6fac4-7a2a-4087-8adb-b1aa4ae4c240\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"6247adb3-9f95-47f8-8aee-bff7464dd63a\",\"type\":\"LinearScale\"}},\"id\":\"aa863182-e02c-42eb-8bbf-59d01d531e3f\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"fill_color\":{\"field\":\"color\"},\"line_color\":{\"field\":\"color\"},\"radius\":{\"units\":\"data\",\"value\":0.5},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"5c9130b1-bee5-474f-ad0c-b21534975166\",\"type\":\"Circle\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"x\",\"y\",\"color\",\"label\"],\"data\":{\"color\":[\"#ef8a62\",\"#67a9cf\",\"#ef8a62\",\"#67a9cf\",\"#ef8a62\",\"#67a9cf\"],\"label\":[\"hi\",\"lo\",\"hi\",\"lo\",\"hi\",\"lo\"],\"x\":[1,2,3,4,5,6],\"y\":[2,1,2,1,2,1]}},\"id\":\"5a44e9bb-9b30-4a53-8476-2dab9240eaf8\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"ded2dc74-d529-486f-8bb5-94a5498aebd7\",\"type\":\"BasicTicker\"},{\"attributes\":{\"plot\":{\"id\":\"aa863182-e02c-42eb-8bbf-59d01d531e3f\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"ded2dc74-d529-486f-8bb5-94a5498aebd7\",\"type\":\"BasicTicker\"}},\"id\":\"59362680-8537-4f94-ac82-ed21cef2a18d\",\"type\":\"Grid\"},{\"attributes\":{\"callback\":null,\"end\":3},\"id\":\"84c6fac4-7a2a-4087-8adb-b1aa4ae4c240\",\"type\":\"Range1d\"},{\"attributes\":{\"formatter\":{\"id\":\"9bb6649a-506a-4a4b-9c2b-59da600659d2\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"aa863182-e02c-42eb-8bbf-59d01d531e3f\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"ded2dc74-d529-486f-8bb5-94a5498aebd7\",\"type\":\"BasicTicker\"}},\"id\":\"a388c667-8e17-4ab5-9085-8d1e79d12d3f\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"6247adb3-9f95-47f8-8aee-bff7464dd63a\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"98179a85-44ed-413a-aa62-3a80866f0607\",\"type\":\"LinearScale\"}],\"root_ids\":[\"aa863182-e02c-42eb-8bbf-59d01d531e3f\"]},\"title\":\"Bokeh Application\",\"version\":\"0.12.6\"}};\n",
       "            var render_items = [{\"docid\":\"fb5f9451-04d0-4f82-9ba5-ea018fd4a86f\",\"elementid\":\"e17ef65a-85d9-4987-b256-d3a2567d02a2\",\"modelid\":\"aa863182-e02c-42eb-8bbf-59d01d531e3f\"}];\n",
       "            \n",
       "            Bokeh.embed.embed_items(docs_json, render_items);\n",
       "          };\n",
       "          if (document.readyState != \"loading\") fn();\n",
       "          else document.addEventListener(\"DOMContentLoaded\", fn);\n",
       "        })();\n",
       "      },\n",
       "      function(Bokeh) {\n",
       "      }\n",
       "    ];\n",
       "  \n",
       "    function run_inline_js() {\n",
       "      \n",
       "      if ((window.Bokeh !== undefined) || (force === true)) {\n",
       "        for (var i = 0; i < inline_js.length; i++) {\n",
       "          inline_js[i](window.Bokeh);\n",
       "        }if (force === true) {\n",
       "          display_loaded();\n",
       "        }} else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(run_inline_js, 100);\n",
       "      } else if (!window._bokeh_failed_load) {\n",
       "        console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "        window._bokeh_failed_load = true;\n",
       "      } else if (force !== true) {\n",
       "        var cell = $(document.getElementById(\"e17ef65a-85d9-4987-b256-d3a2567d02a2\")).parents('.cell').data().cell;\n",
       "        cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "      }\n",
       "  \n",
       "    }\n",
       "  \n",
       "    if (window._bokeh_is_loading === 0) {\n",
       "      console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "      run_inline_js();\n",
       "    } else {\n",
       "      load_libs(js_urls, function() {\n",
       "        console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "        run_inline_js();\n",
       "      });\n",
       "    }\n",
       "  }(this));\n",
       "</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from bokeh.io import show\n",
    "from bokeh.models import ColumnDataSource\n",
    "from bokeh.palettes import RdBu3\n",
    "from bokeh.plotting import figure\n",
    "\n",
    "c1 = RdBu3[2] # red\n",
    "c2 = RdBu3[0] # blue\n",
    "source = ColumnDataSource(dict(\n",
    "    x=[1, 2, 3, 4, 5, 6],\n",
    "    y=[2, 1, 2, 1, 2, 1],\n",
    "    color=[c1, c2, c1, c2, c1, c2],\n",
    "    label=['hi', 'lo', 'hi', 'lo', 'hi', 'lo']\n",
    "))\n",
    "\n",
    "p = figure(x_range=(0, 7), y_range=(0, 3), plot_height=300, tools='save')\n",
    "\n",
    "# Note legend field matches the column in `source`\n",
    "p.circle( x='x', y='y', radius=0.5, color='color', legend='label', source=source)\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "## [Bokeh Palettes](http://bokeh.pydata.org/en/latest/docs/reference/palettes.html)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['#000000',\n",
       " '#252525',\n",
       " '#525252',\n",
       " '#737373',\n",
       " '#969696',\n",
       " '#bdbdbd',\n",
       " '#d9d9d9',\n",
       " '#f0f0f0',\n",
       " '#ffffff']"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from bokeh import palettes\n",
    "# dir(palettes)\n",
    "\n",
    "palettes.Greys[9]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from ipythonblocks import BlockGrid\n",
    "import webcolors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style type=\"text/css\">table.blockgrid {border: none;} .blockgrid tr {border: none;} .blockgrid td {padding: 0px;} #blocks57af5d61-d371-416b-bd4e-254299c26195 td {border: 1px solid white;}</style><table id=\"blocks57af5d61-d371-416b-bd4e-254299c26195\" class=\"blockgrid\"><tbody><tr><td title=\"Index: [0, 0]&#10;Color: (0, 0, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 0, 0);\"></td><td title=\"Index: [0, 1]&#10;Color: (37, 37, 37)\" style=\"width: 20px; height: 20px;background-color: rgb(37, 37, 37);\"></td><td title=\"Index: [0, 2]&#10;Color: (82, 82, 82)\" style=\"width: 20px; height: 20px;background-color: rgb(82, 82, 82);\"></td><td title=\"Index: [0, 3]&#10;Color: (115, 115, 115)\" style=\"width: 20px; height: 20px;background-color: rgb(115, 115, 115);\"></td><td title=\"Index: [0, 4]&#10;Color: (150, 150, 150)\" style=\"width: 20px; height: 20px;background-color: rgb(150, 150, 150);\"></td><td title=\"Index: [0, 5]&#10;Color: (189, 189, 189)\" style=\"width: 20px; height: 20px;background-color: rgb(189, 189, 189);\"></td><td title=\"Index: [0, 6]&#10;Color: (217, 217, 217)\" style=\"width: 20px; height: 20px;background-color: rgb(217, 217, 217);\"></td><td title=\"Index: [0, 7]&#10;Color: (240, 240, 240)\" style=\"width: 20px; height: 20px;background-color: rgb(240, 240, 240);\"></td><td title=\"Index: [0, 8]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td></tr></tbody></table>"
      ],
      "text/plain": [
       "<ipythonblocks.ipythonblocks.BlockGrid at 0x574d898>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "color_list = palettes.Greys[9]\n",
    "\n",
    "grid = BlockGrid(len(color_list),1)\n",
    "\n",
    "for n,_ in enumerate(grid):\n",
    "    grid[0,n] = webcolors.hex_to_rgb(color_list[n])\n",
    "grid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style type=\"text/css\">table.blockgrid {border: none;} .blockgrid tr {border: none;} .blockgrid td {padding: 0px;} #blocksca5d0804-059d-493e-8336-a3dd27660bfb td {border: 1px solid white;}</style><table id=\"blocksca5d0804-059d-493e-8336-a3dd27660bfb\" class=\"blockgrid\"><tbody><tr><td title=\"Index: [0, 0]&#10;Color: (103, 0, 13)\" style=\"width: 20px; height: 20px;background-color: rgb(103, 0, 13);\"></td><td title=\"Index: [0, 1]&#10;Color: (165, 15, 21)\" style=\"width: 20px; height: 20px;background-color: rgb(165, 15, 21);\"></td><td title=\"Index: [0, 2]&#10;Color: (203, 24, 29)\" style=\"width: 20px; height: 20px;background-color: rgb(203, 24, 29);\"></td><td title=\"Index: [0, 3]&#10;Color: (239, 59, 44)\" style=\"width: 20px; height: 20px;background-color: rgb(239, 59, 44);\"></td><td title=\"Index: [0, 4]&#10;Color: (251, 106, 74)\" style=\"width: 20px; height: 20px;background-color: rgb(251, 106, 74);\"></td><td title=\"Index: [0, 5]&#10;Color: (252, 146, 114)\" style=\"width: 20px; height: 20px;background-color: rgb(252, 146, 114);\"></td><td title=\"Index: [0, 6]&#10;Color: (252, 187, 161)\" style=\"width: 20px; height: 20px;background-color: rgb(252, 187, 161);\"></td><td title=\"Index: [0, 7]&#10;Color: (254, 224, 210)\" style=\"width: 20px; height: 20px;background-color: rgb(254, 224, 210);\"></td><td title=\"Index: [0, 8]&#10;Color: (255, 245, 240)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 245, 240);\"></td></tr></tbody></table>"
      ],
      "text/plain": [
       "<ipythonblocks.ipythonblocks.BlockGrid at 0xec332e8>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "color_list = palettes.Reds[9]\n",
    "\n",
    "grid = BlockGrid(len(color_list),1)\n",
    "\n",
    "for n,_ in enumerate(grid):\n",
    "    grid[0,n] = webcolors.hex_to_rgb(color_list[n])\n",
    "grid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['#67000d',\n",
       " '#a50f15',\n",
       " '#cb181d',\n",
       " '#ef3b2c',\n",
       " '#fb6a4a',\n",
       " '#fc9272',\n",
       " '#fcbba1',\n",
       " '#fee0d2',\n",
       " '#fff5f0']"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# for i in grid:\n",
    "#     i.show()\n",
    "color_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style type=\"text/css\">table.blockgrid {border: none;} .blockgrid tr {border: none;} .blockgrid td {padding: 0px;} #blocks83e714f4-064c-43b9-98e6-dbca05af6e78 td {border: 1px solid white;}</style><table id=\"blocks83e714f4-064c-43b9-98e6-dbca05af6e78\" class=\"blockgrid\"><tbody><tr><td title=\"Index: [0, 0]&#10;Color: (0, 68, 27)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 68, 27);\"></td><td title=\"Index: [0, 1]&#10;Color: (0, 109, 44)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 109, 44);\"></td><td title=\"Index: [0, 2]&#10;Color: (35, 139, 69)\" style=\"width: 20px; height: 20px;background-color: rgb(35, 139, 69);\"></td><td title=\"Index: [0, 3]&#10;Color: (65, 171, 93)\" style=\"width: 20px; height: 20px;background-color: rgb(65, 171, 93);\"></td><td title=\"Index: [0, 4]&#10;Color: (116, 196, 118)\" style=\"width: 20px; height: 20px;background-color: rgb(116, 196, 118);\"></td><td title=\"Index: [0, 5]&#10;Color: (161, 217, 155)\" style=\"width: 20px; height: 20px;background-color: rgb(161, 217, 155);\"></td><td title=\"Index: [0, 6]&#10;Color: (199, 233, 192)\" style=\"width: 20px; height: 20px;background-color: rgb(199, 233, 192);\"></td><td title=\"Index: [0, 7]&#10;Color: (229, 245, 224)\" style=\"width: 20px; height: 20px;background-color: rgb(229, 245, 224);\"></td><td title=\"Index: [0, 8]&#10;Color: (247, 252, 245)\" style=\"width: 20px; height: 20px;background-color: rgb(247, 252, 245);\"></td></tr></tbody></table>"
      ],
      "text/plain": [
       "<ipythonblocks.ipythonblocks.BlockGrid at 0xeca1320>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "color_list = palettes.Greens[9]\n",
    "\n",
    "grid = BlockGrid(len(color_list),1)\n",
    "\n",
    "for n,_ in enumerate(grid):\n",
    "    grid[0,n] = webcolors.hex_to_rgb(color_list[n])\n",
    "grid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['#00441b',\n",
       " '#006d2c',\n",
       " '#238b45',\n",
       " '#41ab5d',\n",
       " '#74c476',\n",
       " '#a1d99b',\n",
       " '#c7e9c0',\n",
       " '#e5f5e0',\n",
       " '#f7fcf5']"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "color_list"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "# Conditionally color DataTable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <a href=\"http://bokeh.pydata.org\" target=\"_blank\" class=\"bk-logo bk-logo-small bk-logo-notebook\"></a>\n",
       "        <span id=\"5727a269-0d52-4e50-85bc-33dc86a9c83d\">Loading BokehJS ...</span>\n",
       "    </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "\n",
       "(function(global) {\n",
       "  function now() {\n",
       "    return new Date();\n",
       "  }\n",
       "\n",
       "  var force = true;\n",
       "\n",
       "  if (typeof (window._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n",
       "    window._bokeh_onload_callbacks = [];\n",
       "    window._bokeh_is_loading = undefined;\n",
       "  }\n",
       "\n",
       "\n",
       "  \n",
       "  if (typeof (window._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "    window._bokeh_timeout = Date.now() + 5000;\n",
       "    window._bokeh_failed_load = false;\n",
       "  }\n",
       "\n",
       "  var NB_LOAD_WARNING = {'data': {'text/html':\n",
       "     \"<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",
       "     \"<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",
       "    if (window.Bokeh !== undefined) {\n",
       "      var el = document.getElementById(\"5727a269-0d52-4e50-85bc-33dc86a9c83d\");\n",
       "      el.textContent = \"BokehJS \" + Bokeh.version + \" successfully loaded.\";\n",
       "    } else if (Date.now() < window._bokeh_timeout) {\n",
       "      setTimeout(display_loaded, 100)\n",
       "    }\n",
       "  }\n",
       "\n",
       "  function run_callbacks() {\n",
       "    try {\n",
       "      window._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
       "    }\n",
       "    finally {\n",
       "      delete window._bokeh_onload_callbacks\n",
       "    }\n",
       "    console.info(\"Bokeh: all callbacks have finished\");\n",
       "  }\n",
       "\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",
       "      return null;\n",
       "    }\n",
       "    if (js_urls == null || js_urls.length === 0) {\n",
       "      run_callbacks();\n",
       "      return null;\n",
       "    }\n",
       "    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",
       "      var s = document.createElement('script');\n",
       "      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",
       "          run_callbacks()\n",
       "        }\n",
       "      };\n",
       "      s.onerror = function() {\n",
       "        console.warn(\"failed to load library \" + url);\n",
       "      };\n",
       "      console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "      document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "    }\n",
       "  };var element = document.getElementById(\"5727a269-0d52-4e50-85bc-33dc86a9c83d\");\n",
       "  if (element == null) {\n",
       "    console.log(\"Bokeh: ERROR: autoload.js configured with elementid '5727a269-0d52-4e50-85bc-33dc86a9c83d' but no matching script tag was found. \")\n",
       "    return false;\n",
       "  }\n",
       "\n",
       "  var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.6.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.6.min.js\"];\n",
       "\n",
       "  var inline_js = [\n",
       "    function(Bokeh) {\n",
       "      Bokeh.set_log_level(\"info\");\n",
       "    },\n",
       "    \n",
       "    function(Bokeh) {\n",
       "      \n",
       "    },\n",
       "    \n",
       "    function(Bokeh) {\n",
       "      \n",
       "      document.getElementById(\"5727a269-0d52-4e50-85bc-33dc86a9c83d\").textContent = \"BokehJS is loading...\";\n",
       "    },\n",
       "    function(Bokeh) {\n",
       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-0.12.6.min.css\");\n",
       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.6.min.css\");\n",
       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.6.min.css\");\n",
       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.6.min.css\");\n",
       "    }\n",
       "  ];\n",
       "\n",
       "  function run_inline_js() {\n",
       "    \n",
       "    if ((window.Bokeh !== undefined) || (force === true)) {\n",
       "      for (var i = 0; i < inline_js.length; i++) {\n",
       "        inline_js[i](window.Bokeh);\n",
       "      }if (force === true) {\n",
       "        display_loaded();\n",
       "      }} else if (Date.now() < window._bokeh_timeout) {\n",
       "      setTimeout(run_inline_js, 100);\n",
       "    } else if (!window._bokeh_failed_load) {\n",
       "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "      window._bokeh_failed_load = true;\n",
       "    } else if (force !== true) {\n",
       "      var cell = $(document.getElementById(\"5727a269-0d52-4e50-85bc-33dc86a9c83d\")).parents('.cell').data().cell;\n",
       "      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "    }\n",
       "\n",
       "  }\n",
       "\n",
       "  if (window._bokeh_is_loading === 0) {\n",
       "    console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "    run_inline_js();\n",
       "  } else {\n",
       "    load_libs(js_urls, function() {\n",
       "      console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "      run_inline_js();\n",
       "    });\n",
       "  }\n",
       "}(this));"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from bokeh.models import ColumnDataSource\n",
    "from bokeh.models.widgets import DataTable, TableColumn, HTMLTemplateFormatter\n",
    "from bokeh.io import push_notebook, show, output_notebook\n",
    "output_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <div class=\"bk-plotdiv\" id=\"caa908a3-13bd-4973-95a8-6ffc29c28267\"></div>\n",
       "    </div>\n",
       "<script type=\"text/javascript\">\n",
       "  \n",
       "  (function(global) {\n",
       "    function now() {\n",
       "      return new Date();\n",
       "    }\n",
       "  \n",
       "    var force = false;\n",
       "  \n",
       "    if (typeof (window._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n",
       "      window._bokeh_onload_callbacks = [];\n",
       "      window._bokeh_is_loading = undefined;\n",
       "    }\n",
       "  \n",
       "  \n",
       "    \n",
       "    if (typeof (window._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "      window._bokeh_timeout = Date.now() + 0;\n",
       "      window._bokeh_failed_load = false;\n",
       "    }\n",
       "  \n",
       "    var NB_LOAD_WARNING = {'data': {'text/html':\n",
       "       \"<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",
       "       \"<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",
       "      if (window.Bokeh !== undefined) {\n",
       "        var el = document.getElementById(\"caa908a3-13bd-4973-95a8-6ffc29c28267\");\n",
       "        el.textContent = \"BokehJS \" + Bokeh.version + \" successfully loaded.\";\n",
       "      } else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(display_loaded, 100)\n",
       "      }\n",
       "    }\n",
       "  \n",
       "    function run_callbacks() {\n",
       "      try {\n",
       "        window._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
       "      }\n",
       "      finally {\n",
       "        delete window._bokeh_onload_callbacks\n",
       "      }\n",
       "      console.info(\"Bokeh: all callbacks have finished\");\n",
       "    }\n",
       "  \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",
       "        return null;\n",
       "      }\n",
       "      if (js_urls == null || js_urls.length === 0) {\n",
       "        run_callbacks();\n",
       "        return null;\n",
       "      }\n",
       "      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",
       "        var s = document.createElement('script');\n",
       "        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",
       "            run_callbacks()\n",
       "          }\n",
       "        };\n",
       "        s.onerror = function() {\n",
       "          console.warn(\"failed to load library \" + url);\n",
       "        };\n",
       "        console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "        document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "      }\n",
       "    };var element = document.getElementById(\"caa908a3-13bd-4973-95a8-6ffc29c28267\");\n",
       "    if (element == null) {\n",
       "      console.log(\"Bokeh: ERROR: autoload.js configured with elementid 'caa908a3-13bd-4973-95a8-6ffc29c28267' but no matching script tag was found. \")\n",
       "      return false;\n",
       "    }\n",
       "  \n",
       "    var js_urls = [];\n",
       "  \n",
       "    var inline_js = [\n",
       "      function(Bokeh) {\n",
       "        (function() {\n",
       "          var fn = function() {\n",
       "            var docs_json = {\"f9a3d0b4-7c3c-418a-9810-ec9931950dd2\":{\"roots\":{\"references\":[{\"attributes\":{},\"id\":\"3f40b9c6-cecb-419c-a8f4-1459086b9270\",\"type\":\"StringFormatter\"},{\"attributes\":{},\"id\":\"6fa9a9b7-9a13-45a9-ad65-9850c8552b6b\",\"type\":\"StringEditor\"},{\"attributes\":{\"template\":\"\\n<div style=\\\"background:<%= \\n    (function colorfromint(){\\n        if(value == 1){\\n            return(\\\"blue\\\")}\\n        else{return(\\\"red\\\")}\\n        }()) %>; \\n    color: white\\\"> \\n<%= value %></div>\\n\"},\"id\":\"1e6f7602-2ee4-4435-8f87-6bde0e8798c2\",\"type\":\"HTMLTemplateFormatter\"},{\"attributes\":{\"editor\":{\"id\":\"9d94fa56-3519-44e2-99d1-8411c222fd86\",\"type\":\"StringEditor\"},\"field\":\"y\",\"formatter\":{\"id\":\"1e6f7602-2ee4-4435-8f87-6bde0e8798c2\",\"type\":\"HTMLTemplateFormatter\"},\"title\":\"y\"},\"id\":\"6228b2c0-7a54-4339-99d2-a8ee1c79bd6f\",\"type\":\"TableColumn\"},{\"attributes\":{\"columns\":[{\"id\":\"9374440e-f578-4c70-b50c-4b4341f52dad\",\"type\":\"TableColumn\"},{\"id\":\"6228b2c0-7a54-4339-99d2-a8ee1c79bd6f\",\"type\":\"TableColumn\"}],\"source\":{\"id\":\"afd0724e-c754-4d35-b5d0-4ca2597fe332\",\"type\":\"ColumnDataSource\"},\"width\":800},\"id\":\"22f000f8-0db6-4478-9475-e84541666e4d\",\"type\":\"DataTable\"},{\"attributes\":{},\"id\":\"9d94fa56-3519-44e2-99d1-8411c222fd86\",\"type\":\"StringEditor\"},{\"attributes\":{\"editor\":{\"id\":\"6fa9a9b7-9a13-45a9-ad65-9850c8552b6b\",\"type\":\"StringEditor\"},\"field\":\"x\",\"formatter\":{\"id\":\"3f40b9c6-cecb-419c-a8f4-1459086b9270\",\"type\":\"StringFormatter\"},\"title\":\"x\"},\"id\":\"9374440e-f578-4c70-b50c-4b4341f52dad\",\"type\":\"TableColumn\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"x\",\"y\"],\"data\":{\"x\":[0,0,0,0,0,0],\"y\":[0,1,0,1,0,1]}},\"id\":\"afd0724e-c754-4d35-b5d0-4ca2597fe332\",\"type\":\"ColumnDataSource\"}],\"root_ids\":[\"22f000f8-0db6-4478-9475-e84541666e4d\"]},\"title\":\"Bokeh Application\",\"version\":\"0.12.6\"}};\n",
       "            var render_items = [{\"docid\":\"f9a3d0b4-7c3c-418a-9810-ec9931950dd2\",\"elementid\":\"caa908a3-13bd-4973-95a8-6ffc29c28267\",\"modelid\":\"22f000f8-0db6-4478-9475-e84541666e4d\"}];\n",
       "            \n",
       "            Bokeh.embed.embed_items(docs_json, render_items);\n",
       "          };\n",
       "          if (document.readyState != \"loading\") fn();\n",
       "          else document.addEventListener(\"DOMContentLoaded\", fn);\n",
       "        })();\n",
       "      },\n",
       "      function(Bokeh) {\n",
       "      }\n",
       "    ];\n",
       "  \n",
       "    function run_inline_js() {\n",
       "      \n",
       "      if ((window.Bokeh !== undefined) || (force === true)) {\n",
       "        for (var i = 0; i < inline_js.length; i++) {\n",
       "          inline_js[i](window.Bokeh);\n",
       "        }if (force === true) {\n",
       "          display_loaded();\n",
       "        }} else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(run_inline_js, 100);\n",
       "      } else if (!window._bokeh_failed_load) {\n",
       "        console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "        window._bokeh_failed_load = true;\n",
       "      } else if (force !== true) {\n",
       "        var cell = $(document.getElementById(\"caa908a3-13bd-4973-95a8-6ffc29c28267\")).parents('.cell').data().cell;\n",
       "        cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "      }\n",
       "  \n",
       "    }\n",
       "  \n",
       "    if (window._bokeh_is_loading === 0) {\n",
       "      console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "      run_inline_js();\n",
       "    } else {\n",
       "      load_libs(js_urls, function() {\n",
       "        console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "        run_inline_js();\n",
       "      });\n",
       "    }\n",
       "  }(this));\n",
       "</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dict1 = {'x':[0]*6,'y':[0,1,0,1,0,1]}\n",
    "source = ColumnDataSource(data=dict1)\n",
    "\n",
    "template=\"\"\"\n",
    "<div style=\"background:<%= \n",
    "    (function colorfromint(){\n",
    "        if(value == 1){\n",
    "            return(\"blue\")}\n",
    "        else{return(\"red\")}\n",
    "        }()) %>; \n",
    "    color: white\"> \n",
    "<%= value %></div>\n",
    "\"\"\"\n",
    "\n",
    "formater =  HTMLTemplateFormatter(template=template)\n",
    "columns = [\n",
    "    TableColumn(field=\"x\", title=\"x\"),\n",
    "    TableColumn(field=\"y\", title=\"y\",formatter=formater)\n",
    "]\n",
    "\n",
    "data_table = DataTable(source=source, columns=columns, width=800)\n",
    "show(data_table)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# [SO answer on the same topic](https://stackoverflow.com/a/44734269/3727854)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <a href=\"http://bokeh.pydata.org\" target=\"_blank\" class=\"bk-logo bk-logo-small bk-logo-notebook\"></a>\n",
       "        <span id=\"6a5b68e9-26c0-4738-925d-ec2c6311b29b\">Loading BokehJS ...</span>\n",
       "    </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "\n",
       "(function(global) {\n",
       "  function now() {\n",
       "    return new Date();\n",
       "  }\n",
       "\n",
       "  var force = true;\n",
       "\n",
       "  if (typeof (window._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n",
       "    window._bokeh_onload_callbacks = [];\n",
       "    window._bokeh_is_loading = undefined;\n",
       "  }\n",
       "\n",
       "\n",
       "  \n",
       "  if (typeof (window._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "    window._bokeh_timeout = Date.now() + 5000;\n",
       "    window._bokeh_failed_load = false;\n",
       "  }\n",
       "\n",
       "  var NB_LOAD_WARNING = {'data': {'text/html':\n",
       "     \"<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",
       "     \"<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",
       "    if (window.Bokeh !== undefined) {\n",
       "      var el = document.getElementById(\"6a5b68e9-26c0-4738-925d-ec2c6311b29b\");\n",
       "      el.textContent = \"BokehJS \" + Bokeh.version + \" successfully loaded.\";\n",
       "    } else if (Date.now() < window._bokeh_timeout) {\n",
       "      setTimeout(display_loaded, 100)\n",
       "    }\n",
       "  }\n",
       "\n",
       "  function run_callbacks() {\n",
       "    try {\n",
       "      window._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
       "    }\n",
       "    finally {\n",
       "      delete window._bokeh_onload_callbacks\n",
       "    }\n",
       "    console.info(\"Bokeh: all callbacks have finished\");\n",
       "  }\n",
       "\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",
       "      return null;\n",
       "    }\n",
       "    if (js_urls == null || js_urls.length === 0) {\n",
       "      run_callbacks();\n",
       "      return null;\n",
       "    }\n",
       "    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",
       "      var s = document.createElement('script');\n",
       "      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",
       "          run_callbacks()\n",
       "        }\n",
       "      };\n",
       "      s.onerror = function() {\n",
       "        console.warn(\"failed to load library \" + url);\n",
       "      };\n",
       "      console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "      document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "    }\n",
       "  };var element = document.getElementById(\"6a5b68e9-26c0-4738-925d-ec2c6311b29b\");\n",
       "  if (element == null) {\n",
       "    console.log(\"Bokeh: ERROR: autoload.js configured with elementid '6a5b68e9-26c0-4738-925d-ec2c6311b29b' but no matching script tag was found. \")\n",
       "    return false;\n",
       "  }\n",
       "\n",
       "  var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.6.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.6.min.js\"];\n",
       "\n",
       "  var inline_js = [\n",
       "    function(Bokeh) {\n",
       "      Bokeh.set_log_level(\"info\");\n",
       "    },\n",
       "    \n",
       "    function(Bokeh) {\n",
       "      \n",
       "    },\n",
       "    \n",
       "    function(Bokeh) {\n",
       "      \n",
       "      document.getElementById(\"6a5b68e9-26c0-4738-925d-ec2c6311b29b\").textContent = \"BokehJS is loading...\";\n",
       "    },\n",
       "    function(Bokeh) {\n",
       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-0.12.6.min.css\");\n",
       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.6.min.css\");\n",
       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.6.min.css\");\n",
       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.6.min.css\");\n",
       "    }\n",
       "  ];\n",
       "\n",
       "  function run_inline_js() {\n",
       "    \n",
       "    if ((window.Bokeh !== undefined) || (force === true)) {\n",
       "      for (var i = 0; i < inline_js.length; i++) {\n",
       "        inline_js[i](window.Bokeh);\n",
       "      }if (force === true) {\n",
       "        display_loaded();\n",
       "      }} else if (Date.now() < window._bokeh_timeout) {\n",
       "      setTimeout(run_inline_js, 100);\n",
       "    } else if (!window._bokeh_failed_load) {\n",
       "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "      window._bokeh_failed_load = true;\n",
       "    } else if (force !== true) {\n",
       "      var cell = $(document.getElementById(\"6a5b68e9-26c0-4738-925d-ec2c6311b29b\")).parents('.cell').data().cell;\n",
       "      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "    }\n",
       "\n",
       "  }\n",
       "\n",
       "  if (window._bokeh_is_loading === 0) {\n",
       "    console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "    run_inline_js();\n",
       "  } else {\n",
       "    load_libs(js_urls, function() {\n",
       "      console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "      run_inline_js();\n",
       "    });\n",
       "  }\n",
       "}(this));"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from bokeh.models import ColumnDataSource\n",
    "from bokeh.models.widgets import DataTable, TableColumn, HTMLTemplateFormatter, NumberFormatter\n",
    "# from bokeh.io import show\n",
    "from bokeh.io import push_notebook, show, output_notebook\n",
    "\n",
    "output_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <div class=\"bk-plotdiv\" id=\"a98df1e6-e364-4d8f-b614-c5e481c05f25\"></div>\n",
       "    </div>\n",
       "<script type=\"text/javascript\">\n",
       "  \n",
       "  (function(global) {\n",
       "    function now() {\n",
       "      return new Date();\n",
       "    }\n",
       "  \n",
       "    var force = false;\n",
       "  \n",
       "    if (typeof (window._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n",
       "      window._bokeh_onload_callbacks = [];\n",
       "      window._bokeh_is_loading = undefined;\n",
       "    }\n",
       "  \n",
       "  \n",
       "    \n",
       "    if (typeof (window._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "      window._bokeh_timeout = Date.now() + 0;\n",
       "      window._bokeh_failed_load = false;\n",
       "    }\n",
       "  \n",
       "    var NB_LOAD_WARNING = {'data': {'text/html':\n",
       "       \"<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",
       "       \"<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",
       "      if (window.Bokeh !== undefined) {\n",
       "        var el = document.getElementById(\"a98df1e6-e364-4d8f-b614-c5e481c05f25\");\n",
       "        el.textContent = \"BokehJS \" + Bokeh.version + \" successfully loaded.\";\n",
       "      } else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(display_loaded, 100)\n",
       "      }\n",
       "    }\n",
       "  \n",
       "    function run_callbacks() {\n",
       "      try {\n",
       "        window._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
       "      }\n",
       "      finally {\n",
       "        delete window._bokeh_onload_callbacks\n",
       "      }\n",
       "      console.info(\"Bokeh: all callbacks have finished\");\n",
       "    }\n",
       "  \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",
       "        return null;\n",
       "      }\n",
       "      if (js_urls == null || js_urls.length === 0) {\n",
       "        run_callbacks();\n",
       "        return null;\n",
       "      }\n",
       "      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",
       "        var s = document.createElement('script');\n",
       "        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",
       "            run_callbacks()\n",
       "          }\n",
       "        };\n",
       "        s.onerror = function() {\n",
       "          console.warn(\"failed to load library \" + url);\n",
       "        };\n",
       "        console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "        document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "      }\n",
       "    };var element = document.getElementById(\"a98df1e6-e364-4d8f-b614-c5e481c05f25\");\n",
       "    if (element == null) {\n",
       "      console.log(\"Bokeh: ERROR: autoload.js configured with elementid 'a98df1e6-e364-4d8f-b614-c5e481c05f25' but no matching script tag was found. \")\n",
       "      return false;\n",
       "    }\n",
       "  \n",
       "    var js_urls = [];\n",
       "  \n",
       "    var inline_js = [\n",
       "      function(Bokeh) {\n",
       "        (function() {\n",
       "          var fn = function() {\n",
       "            var docs_json = {\"13e2552c-767c-4641-8b0e-5db64001e4aa\":{\"roots\":{\"references\":[{\"attributes\":{},\"id\":\"39611cfd-2a3e-4e92-ac5f-c42b93c11ba9\",\"type\":\"StringEditor\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"x\",\"y\",\"z\",\"color\"],\"data\":{\"color\":[\"red\",\"green\",\"purple\",\"blue\",\"grey\",\"white\"],\"x\":[0,0,0,0,0,0],\"y\":[500.23,1000,-1000.234,1000,-5000.23,500],\"z\":[0,0,1,1,1,2]}},\"id\":\"ac4e05d0-8612-41e9-8b72-a3fbf08e15ad\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"editor\":{\"id\":\"2fc94681-690f-4f77-9a1a-87b44f9ef304\",\"type\":\"StringEditor\"},\"field\":\"x\",\"formatter\":{\"id\":\"9ceb563d-2c15-4c51-b1fe-6c1dd20eb482\",\"type\":\"StringFormatter\"},\"title\":\"x\"},\"id\":\"acbe46b5-d3b1-4712-9542-7f2512348fa7\",\"type\":\"TableColumn\"},{\"attributes\":{\"template\":\"\\n<b><div style=\\\"background:<%= color%>;\\\">\\n<%= (value).toFixed(1) %></div></b>\\n\"},\"id\":\"3cb9e4aa-9d65-4e3c-be20-5d69b1cf6ee6\",\"type\":\"HTMLTemplateFormatter\"},{\"attributes\":{\"columns\":[{\"id\":\"acbe46b5-d3b1-4712-9542-7f2512348fa7\",\"type\":\"TableColumn\"},{\"id\":\"3ded6290-2dfb-4863-8228-4edbb319a2c5\",\"type\":\"TableColumn\"}],\"source\":{\"id\":\"ac4e05d0-8612-41e9-8b72-a3fbf08e15ad\",\"type\":\"ColumnDataSource\"},\"width\":800},\"id\":\"46853394-eedb-4786-b598-c7dfbf3097fc\",\"type\":\"DataTable\"},{\"attributes\":{\"editor\":{\"id\":\"39611cfd-2a3e-4e92-ac5f-c42b93c11ba9\",\"type\":\"StringEditor\"},\"field\":\"y\",\"formatter\":{\"id\":\"3cb9e4aa-9d65-4e3c-be20-5d69b1cf6ee6\",\"type\":\"HTMLTemplateFormatter\"},\"title\":\"y\"},\"id\":\"3ded6290-2dfb-4863-8228-4edbb319a2c5\",\"type\":\"TableColumn\"},{\"attributes\":{},\"id\":\"2fc94681-690f-4f77-9a1a-87b44f9ef304\",\"type\":\"StringEditor\"},{\"attributes\":{},\"id\":\"9ceb563d-2c15-4c51-b1fe-6c1dd20eb482\",\"type\":\"StringFormatter\"}],\"root_ids\":[\"46853394-eedb-4786-b598-c7dfbf3097fc\"]},\"title\":\"Bokeh Application\",\"version\":\"0.12.6\"}};\n",
       "            var render_items = [{\"docid\":\"13e2552c-767c-4641-8b0e-5db64001e4aa\",\"elementid\":\"a98df1e6-e364-4d8f-b614-c5e481c05f25\",\"modelid\":\"46853394-eedb-4786-b598-c7dfbf3097fc\"}];\n",
       "            \n",
       "            Bokeh.embed.embed_items(docs_json, render_items);\n",
       "          };\n",
       "          if (document.readyState != \"loading\") fn();\n",
       "          else document.addEventListener(\"DOMContentLoaded\", fn);\n",
       "        })();\n",
       "      },\n",
       "      function(Bokeh) {\n",
       "      }\n",
       "    ];\n",
       "  \n",
       "    function run_inline_js() {\n",
       "      \n",
       "      if ((window.Bokeh !== undefined) || (force === true)) {\n",
       "        for (var i = 0; i < inline_js.length; i++) {\n",
       "          inline_js[i](window.Bokeh);\n",
       "        }if (force === true) {\n",
       "          display_loaded();\n",
       "        }} else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(run_inline_js, 100);\n",
       "      } else if (!window._bokeh_failed_load) {\n",
       "        console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "        window._bokeh_failed_load = true;\n",
       "      } else if (force !== true) {\n",
       "        var cell = $(document.getElementById(\"a98df1e6-e364-4d8f-b614-c5e481c05f25\")).parents('.cell').data().cell;\n",
       "        cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "      }\n",
       "  \n",
       "    }\n",
       "  \n",
       "    if (window._bokeh_is_loading === 0) {\n",
       "      console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "      run_inline_js();\n",
       "    } else {\n",
       "      load_libs(js_urls, function() {\n",
       "        console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "        run_inline_js();\n",
       "      });\n",
       "    }\n",
       "  }(this));\n",
       "</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dict1 = {'x':[0]*6,\n",
    "'y':[500.23,1000,-1000.234,1000,-5000.23,500],\n",
    "'z':[0,0,1,1,1,2],\n",
    "'color':['red','green','purple','blue','grey','white']}\n",
    "\n",
    "source = ColumnDataSource(data=dict1)\n",
    "\n",
    "template=\"\"\"\n",
    "<b><div style=\"background:<%= color%>;\">\n",
    "<%= (value).toFixed(1) %></div></b>\n",
    "\"\"\"\n",
    "\n",
    "formater =  HTMLTemplateFormatter(template=template)\n",
    "columns = [\n",
    "    TableColumn(field=\"x\", title=\"x\"),\n",
    "    TableColumn(field=\"y\", title=\"y\",formatter=formater)\n",
    "]\n",
    "\n",
    "data_table = DataTable(source=source, columns=columns, width=800)\n",
    "\n",
    "show(data_table)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "# Adaptive colors for DataTable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    }
   ],
   "source": [
    "import re\n",
    "import pandas as pd\n",
    "\n",
    "import colorsys\n",
    "import webcolors\n",
    "%pylab inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <a href=\"http://bokeh.pydata.org\" target=\"_blank\" class=\"bk-logo bk-logo-small bk-logo-notebook\"></a>\n",
       "        <span id=\"ca00f00e-6c47-4fd3-ac17-4ff13ad11c01\">Loading BokehJS ...</span>\n",
       "    </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "\n",
       "(function(global) {\n",
       "  function now() {\n",
       "    return new Date();\n",
       "  }\n",
       "\n",
       "  var force = true;\n",
       "\n",
       "  if (typeof (window._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n",
       "    window._bokeh_onload_callbacks = [];\n",
       "    window._bokeh_is_loading = undefined;\n",
       "  }\n",
       "\n",
       "\n",
       "  \n",
       "  if (typeof (window._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "    window._bokeh_timeout = Date.now() + 5000;\n",
       "    window._bokeh_failed_load = false;\n",
       "  }\n",
       "\n",
       "  var NB_LOAD_WARNING = {'data': {'text/html':\n",
       "     \"<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",
       "     \"<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",
       "    if (window.Bokeh !== undefined) {\n",
       "      var el = document.getElementById(\"ca00f00e-6c47-4fd3-ac17-4ff13ad11c01\");\n",
       "      el.textContent = \"BokehJS \" + Bokeh.version + \" successfully loaded.\";\n",
       "    } else if (Date.now() < window._bokeh_timeout) {\n",
       "      setTimeout(display_loaded, 100)\n",
       "    }\n",
       "  }\n",
       "\n",
       "  function run_callbacks() {\n",
       "    try {\n",
       "      window._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
       "    }\n",
       "    finally {\n",
       "      delete window._bokeh_onload_callbacks\n",
       "    }\n",
       "    console.info(\"Bokeh: all callbacks have finished\");\n",
       "  }\n",
       "\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",
       "      return null;\n",
       "    }\n",
       "    if (js_urls == null || js_urls.length === 0) {\n",
       "      run_callbacks();\n",
       "      return null;\n",
       "    }\n",
       "    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",
       "      var s = document.createElement('script');\n",
       "      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",
       "          run_callbacks()\n",
       "        }\n",
       "      };\n",
       "      s.onerror = function() {\n",
       "        console.warn(\"failed to load library \" + url);\n",
       "      };\n",
       "      console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "      document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "    }\n",
       "  };var element = document.getElementById(\"ca00f00e-6c47-4fd3-ac17-4ff13ad11c01\");\n",
       "  if (element == null) {\n",
       "    console.log(\"Bokeh: ERROR: autoload.js configured with elementid 'ca00f00e-6c47-4fd3-ac17-4ff13ad11c01' but no matching script tag was found. \")\n",
       "    return false;\n",
       "  }\n",
       "\n",
       "  var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.6.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.6.min.js\"];\n",
       "\n",
       "  var inline_js = [\n",
       "    function(Bokeh) {\n",
       "      Bokeh.set_log_level(\"info\");\n",
       "    },\n",
       "    \n",
       "    function(Bokeh) {\n",
       "      \n",
       "    },\n",
       "    \n",
       "    function(Bokeh) {\n",
       "      \n",
       "      document.getElementById(\"ca00f00e-6c47-4fd3-ac17-4ff13ad11c01\").textContent = \"BokehJS is loading...\";\n",
       "    },\n",
       "    function(Bokeh) {\n",
       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-0.12.6.min.css\");\n",
       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.6.min.css\");\n",
       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.6.min.css\");\n",
       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.6.min.css\");\n",
       "    }\n",
       "  ];\n",
       "\n",
       "  function run_inline_js() {\n",
       "    \n",
       "    if ((window.Bokeh !== undefined) || (force === true)) {\n",
       "      for (var i = 0; i < inline_js.length; i++) {\n",
       "        inline_js[i](window.Bokeh);\n",
       "      }if (force === true) {\n",
       "        display_loaded();\n",
       "      }} else if (Date.now() < window._bokeh_timeout) {\n",
       "      setTimeout(run_inline_js, 100);\n",
       "    } else if (!window._bokeh_failed_load) {\n",
       "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "      window._bokeh_failed_load = true;\n",
       "    } else if (force !== true) {\n",
       "      var cell = $(document.getElementById(\"ca00f00e-6c47-4fd3-ac17-4ff13ad11c01\")).parents('.cell').data().cell;\n",
       "      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "    }\n",
       "\n",
       "  }\n",
       "\n",
       "  if (window._bokeh_is_loading === 0) {\n",
       "    console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "    run_inline_js();\n",
       "  } else {\n",
       "    load_libs(js_urls, function() {\n",
       "      console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "      run_inline_js();\n",
       "    });\n",
       "  }\n",
       "}(this));"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from bokeh.models import ColumnDataSource\n",
    "from bokeh.models.widgets import DataTable, TableColumn, HTMLTemplateFormatter, NumberFormatter\n",
    "# from bokeh.io import show\n",
    "from bokeh.io import push_notebook, show, output_notebook\n",
    "\n",
    "output_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def webColorRange(start_color, end_color, steps=None, output_format=None):\n",
    "    \n",
    "    output_format = output_format or \"rbg\"\n",
    "    \n",
    "    base = webcolors.name_to_rgb(start_color)\n",
    "    base = np.array(base)\n",
    "\n",
    "    direction = webcolors.name_to_rgb(end_color)\n",
    "    direction = np.array(direction)\n",
    "\n",
    "    r = np.linspace(base[0],direction[0],steps,dtype=\"int32\")\n",
    "    g = np.linspace(base[1],direction[1],steps,dtype=\"int32\")\n",
    "    b = np.linspace(base[2],direction[2],steps,dtype=\"int32\")\n",
    "    \n",
    "    if re.search(\"[Rr][Gg][Bg]\", output_format) is not None:\n",
    "        return r,g,b\n",
    "    if re.search(\"[Hh][Ee][Xx]\",output_format) is not None:\n",
    "        hex_list = [webcolors.rgb_to_hex([r[i],g[i],b[i]]) for i in range(steps)]\n",
    "        return hex_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "x = np.linspace(0, 100, 25)\n",
    "y = x**2\n",
    "\n",
    "color_list = webColorRange(\"red\",\"blue\", steps=len(y),output_format=\"hex\")\n",
    "\n",
    "data = np.array([x, y,color_list])\n",
    "\n",
    "data = pd.DataFrame(data.T,columns=[\"x\",\"y\",\"color\"])\n",
    "\n",
    "# data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <div class=\"bk-plotdiv\" id=\"6956e760-d0e5-4fe6-a59b-7f6539bfbccd\"></div>\n",
       "    </div>\n",
       "<script type=\"text/javascript\">\n",
       "  \n",
       "  (function(global) {\n",
       "    function now() {\n",
       "      return new Date();\n",
       "    }\n",
       "  \n",
       "    var force = false;\n",
       "  \n",
       "    if (typeof (window._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n",
       "      window._bokeh_onload_callbacks = [];\n",
       "      window._bokeh_is_loading = undefined;\n",
       "    }\n",
       "  \n",
       "  \n",
       "    \n",
       "    if (typeof (window._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "      window._bokeh_timeout = Date.now() + 0;\n",
       "      window._bokeh_failed_load = false;\n",
       "    }\n",
       "  \n",
       "    var NB_LOAD_WARNING = {'data': {'text/html':\n",
       "       \"<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",
       "       \"<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",
       "      if (window.Bokeh !== undefined) {\n",
       "        var el = document.getElementById(\"6956e760-d0e5-4fe6-a59b-7f6539bfbccd\");\n",
       "        el.textContent = \"BokehJS \" + Bokeh.version + \" successfully loaded.\";\n",
       "      } else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(display_loaded, 100)\n",
       "      }\n",
       "    }\n",
       "  \n",
       "    function run_callbacks() {\n",
       "      try {\n",
       "        window._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
       "      }\n",
       "      finally {\n",
       "        delete window._bokeh_onload_callbacks\n",
       "      }\n",
       "      console.info(\"Bokeh: all callbacks have finished\");\n",
       "    }\n",
       "  \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",
       "        return null;\n",
       "      }\n",
       "      if (js_urls == null || js_urls.length === 0) {\n",
       "        run_callbacks();\n",
       "        return null;\n",
       "      }\n",
       "      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",
       "        var s = document.createElement('script');\n",
       "        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",
       "            run_callbacks()\n",
       "          }\n",
       "        };\n",
       "        s.onerror = function() {\n",
       "          console.warn(\"failed to load library \" + url);\n",
       "        };\n",
       "        console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "        document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "      }\n",
       "    };var element = document.getElementById(\"6956e760-d0e5-4fe6-a59b-7f6539bfbccd\");\n",
       "    if (element == null) {\n",
       "      console.log(\"Bokeh: ERROR: autoload.js configured with elementid '6956e760-d0e5-4fe6-a59b-7f6539bfbccd' but no matching script tag was found. \")\n",
       "      return false;\n",
       "    }\n",
       "  \n",
       "    var js_urls = [];\n",
       "  \n",
       "    var inline_js = [\n",
       "      function(Bokeh) {\n",
       "        (function() {\n",
       "          var fn = function() {\n",
       "            var docs_json = {\"545a9b77-e448-4a26-8367-c7c46a689799\":{\"roots\":{\"references\":[{\"attributes\":{\"editor\":{\"id\":\"6eb7e829-1397-4db4-aca2-74715d1fee38\",\"type\":\"StringEditor\"},\"field\":\"y\",\"formatter\":{\"id\":\"af85698d-9bae-4fd5-8bdb-0e243b0bc782\",\"type\":\"HTMLTemplateFormatter\"},\"title\":\"y\"},\"id\":\"13646446-2d46-4223-a324-25e8289b1c8d\",\"type\":\"TableColumn\"},{\"attributes\":{\"columns\":[{\"id\":\"28e1239e-f23e-4ab7-ae36-a96727730b05\",\"type\":\"TableColumn\"},{\"id\":\"13646446-2d46-4223-a324-25e8289b1c8d\",\"type\":\"TableColumn\"}],\"source\":{\"id\":\"20ea17a6-d56b-495c-bcda-c857d0633936\",\"type\":\"ColumnDataSource\"}},\"id\":\"443045bb-aba6-45d5-a13e-a259a8cd576f\",\"type\":\"DataTable\"},{\"attributes\":{\"editor\":{\"id\":\"8a6cdb0f-aa7d-427c-a302-cd57df086f77\",\"type\":\"StringEditor\"},\"field\":\"x\",\"formatter\":{\"id\":\"15e60f33-7ed1-4ff0-abe1-2ca609fe4d83\",\"type\":\"StringFormatter\"},\"title\":\"x\"},\"id\":\"28e1239e-f23e-4ab7-ae36-a96727730b05\",\"type\":\"TableColumn\"},{\"attributes\":{},\"id\":\"6eb7e829-1397-4db4-aca2-74715d1fee38\",\"type\":\"StringEditor\"},{\"attributes\":{},\"id\":\"15e60f33-7ed1-4ff0-abe1-2ca609fe4d83\",\"type\":\"StringFormatter\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"x\",\"y\",\"color\",\"index\"],\"data\":{\"color\":[\"#ff0000\",\"#f4000a\",\"#e90015\",\"#df001f\",\"#d4002a\",\"#c90035\",\"#bf003f\",\"#b4004a\",\"#aa0055\",\"#9f005f\",\"#94006a\",\"#8a0074\",\"#7f007f\",\"#74008a\",\"#6a0094\",\"#5f009f\",\"#5500aa\",\"#4a00b4\",\"#3f00bf\",\"#3500c9\",\"#2a00d4\",\"#1f00df\",\"#1500e9\",\"#0a00f4\",\"#0000ff\"],\"index\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24],\"x\":[\"0.0\",\"4.166666666666667\",\"8.333333333333334\",\"12.5\",\"16.666666666666668\",\"20.833333333333336\",\"25.0\",\"29.166666666666668\",\"33.333333333333336\",\"37.5\",\"41.66666666666667\",\"45.833333333333336\",\"50.0\",\"54.16666666666667\",\"58.333333333333336\",\"62.50000000000001\",\"66.66666666666667\",\"70.83333333333334\",\"75.0\",\"79.16666666666667\",\"83.33333333333334\",\"87.5\",\"91.66666666666667\",\"95.83333333333334\",\"100.0\"],\"y\":[\"0.0\",\"17.361111111111114\",\"69.44444444444446\",\"156.25\",\"277.7777777777778\",\"434.0277777777779\",\"625.0\",\"850.6944444444445\",\"1111.1111111111113\",\"1406.25\",\"1736.1111111111115\",\"2100.694444444445\",\"2500.0\",\"2934.0277777777783\",\"3402.777777777778\",\"3906.250000000001\",\"4444.444444444445\",\"5017.361111111112\",\"5625.0\",\"6267.361111111112\",\"6944.444444444446\",\"7656.25\",\"8402.77777777778\",\"9184.02777777778\",\"10000.0\"]}},\"id\":\"20ea17a6-d56b-495c-bcda-c857d0633936\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"8a6cdb0f-aa7d-427c-a302-cd57df086f77\",\"type\":\"StringEditor\"},{\"attributes\":{\"template\":\"\\n<div style=\\\"background:<%= color%>; color:white;\\\"><%= value %></div>\\n\"},\"id\":\"af85698d-9bae-4fd5-8bdb-0e243b0bc782\",\"type\":\"HTMLTemplateFormatter\"}],\"root_ids\":[\"443045bb-aba6-45d5-a13e-a259a8cd576f\"]},\"title\":\"Bokeh Application\",\"version\":\"0.12.6\"}};\n",
       "            var render_items = [{\"docid\":\"545a9b77-e448-4a26-8367-c7c46a689799\",\"elementid\":\"6956e760-d0e5-4fe6-a59b-7f6539bfbccd\",\"modelid\":\"443045bb-aba6-45d5-a13e-a259a8cd576f\"}];\n",
       "            \n",
       "            Bokeh.embed.embed_items(docs_json, render_items);\n",
       "          };\n",
       "          if (document.readyState != \"loading\") fn();\n",
       "          else document.addEventListener(\"DOMContentLoaded\", fn);\n",
       "        })();\n",
       "      },\n",
       "      function(Bokeh) {\n",
       "      }\n",
       "    ];\n",
       "  \n",
       "    function run_inline_js() {\n",
       "      \n",
       "      if ((window.Bokeh !== undefined) || (force === true)) {\n",
       "        for (var i = 0; i < inline_js.length; i++) {\n",
       "          inline_js[i](window.Bokeh);\n",
       "        }if (force === true) {\n",
       "          display_loaded();\n",
       "        }} else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(run_inline_js, 100);\n",
       "      } else if (!window._bokeh_failed_load) {\n",
       "        console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "        window._bokeh_failed_load = true;\n",
       "      } else if (force !== true) {\n",
       "        var cell = $(document.getElementById(\"6956e760-d0e5-4fe6-a59b-7f6539bfbccd\")).parents('.cell').data().cell;\n",
       "        cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "      }\n",
       "  \n",
       "    }\n",
       "  \n",
       "    if (window._bokeh_is_loading === 0) {\n",
       "      console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "      run_inline_js();\n",
       "    } else {\n",
       "      load_libs(js_urls, function() {\n",
       "        console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "        run_inline_js();\n",
       "      });\n",
       "    }\n",
       "  }(this));\n",
       "</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "source = ColumnDataSource(data=data)\n",
    "\n",
    "template=\"\"\"\n",
    "<div style=\"background:<%= color%>; color:white;\"><%= value %></div>\n",
    "\"\"\"\n",
    "\n",
    "formater =  HTMLTemplateFormatter(template=template)\n",
    "columns = [\n",
    "    TableColumn(field=\"x\", title=\"x\"),\n",
    "    TableColumn(field=\"y\", title=\"y\", formatter=formater)\n",
    "]\n",
    "\n",
    "data_table = DataTable(source=source, columns=columns)\n",
    "\n",
    "show(data_table)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0, 0, 0)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "webcolors.hex_to_rgb(\"#000\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def color_range(start_color, end_color, steps=None, output_format=None):\n",
    "    \n",
    "    output_format = output_format or \"rbg\"\n",
    "    \n",
    "    try:\n",
    "        base = np.array(webcolors.name_to_rgb(start_color))\n",
    "\n",
    "        direction = np.array(webcolors.name_to_rgb(end_color))\n",
    "    except:\n",
    "        pass\n",
    "    try:\n",
    "        base = np.array(webcolors.hex_to_rgb(start_color))\n",
    "        direction = np.array(webcolors.hex_to_rgb(end_color))\n",
    "    except:\n",
    "        pass\n",
    "\n",
    "    r = np.linspace(base[0],direction[0],steps,dtype=\"int32\")\n",
    "    g = np.linspace(base[1],direction[1],steps,dtype=\"int32\")\n",
    "    b = np.linspace(base[2],direction[2],steps,dtype=\"int32\")\n",
    "    \n",
    "    if re.search(\"[Rr][Gg][Bg]\", output_format) is not None:\n",
    "        return r,g,b\n",
    "    if re.search(\"[Hh][Ee][Xx]\",output_format) is not None:\n",
    "        hex_list = [webcolors.rgb_to_hex([r[i],g[i],b[i]]) for i in range(steps)]\n",
    "        return hex_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "color_list = color_range(\"#000\",\"#FFF\", 3, \"hex\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from ipythonblocks import BlockGrid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style type=\"text/css\">table.blockgrid {border: none;} .blockgrid tr {border: none;} .blockgrid td {padding: 0px;} #blocks308c191a-76cd-4e6a-8021-3d251507d85c td {border: 1px solid white;}</style><table id=\"blocks308c191a-76cd-4e6a-8021-3d251507d85c\" class=\"blockgrid\"><tbody><tr><td title=\"Index: [0, 0]&#10;Color: (0, 0, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 0, 0);\"></td><td title=\"Index: [0, 1]&#10;Color: (127, 127, 127)\" style=\"width: 20px; height: 20px;background-color: rgb(127, 127, 127);\"></td><td title=\"Index: [0, 2]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td></tr></tbody></table>"
      ],
      "text/plain": [
       "<ipythonblocks.ipythonblocks.BlockGrid at 0xda1dda0>"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grid = BlockGrid(len(color_list),1)\n",
    "\n",
    "for n,_ in enumerate(grid):\n",
    "    grid[0,n] = webcolors.hex_to_rgb(color_list[n])\n",
    "grid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<style type=\"text/css\">table.blockgrid {border: none;} .blockgrid tr {border: none;} .blockgrid td {padding: 0px;} #blocksf9e9f7da-cf21-4bdb-93bf-8e5c5b362ca7 td {border: 1px solid white;}</style><table id=\"blocksf9e9f7da-cf21-4bdb-93bf-8e5c5b362ca7\" class=\"blockgrid\"><tbody><tr><td title=\"Index: [0, 0]&#10;Color: (0, 0, 0)\" style=\"width: 20px; height: 20px;background-color: rgb(0, 0, 0);\"></td><td title=\"Index: [0, 1]&#10;Color: (10, 10, 10)\" style=\"width: 20px; height: 20px;background-color: rgb(10, 10, 10);\"></td><td title=\"Index: [0, 2]&#10;Color: (21, 21, 21)\" style=\"width: 20px; height: 20px;background-color: rgb(21, 21, 21);\"></td><td title=\"Index: [0, 3]&#10;Color: (31, 31, 31)\" style=\"width: 20px; height: 20px;background-color: rgb(31, 31, 31);\"></td><td title=\"Index: [0, 4]&#10;Color: (42, 42, 42)\" style=\"width: 20px; height: 20px;background-color: rgb(42, 42, 42);\"></td><td title=\"Index: [0, 5]&#10;Color: (53, 53, 53)\" style=\"width: 20px; height: 20px;background-color: rgb(53, 53, 53);\"></td><td title=\"Index: [0, 6]&#10;Color: (63, 63, 63)\" style=\"width: 20px; height: 20px;background-color: rgb(63, 63, 63);\"></td><td title=\"Index: [0, 7]&#10;Color: (74, 74, 74)\" style=\"width: 20px; height: 20px;background-color: rgb(74, 74, 74);\"></td><td title=\"Index: [0, 8]&#10;Color: (85, 85, 85)\" style=\"width: 20px; height: 20px;background-color: rgb(85, 85, 85);\"></td><td title=\"Index: [0, 9]&#10;Color: (95, 95, 95)\" style=\"width: 20px; height: 20px;background-color: rgb(95, 95, 95);\"></td><td title=\"Index: [0, 10]&#10;Color: (106, 106, 106)\" style=\"width: 20px; height: 20px;background-color: rgb(106, 106, 106);\"></td><td title=\"Index: [0, 11]&#10;Color: (116, 116, 116)\" style=\"width: 20px; height: 20px;background-color: rgb(116, 116, 116);\"></td><td title=\"Index: [0, 12]&#10;Color: (127, 127, 127)\" style=\"width: 20px; height: 20px;background-color: rgb(127, 127, 127);\"></td><td title=\"Index: [0, 13]&#10;Color: (138, 138, 138)\" style=\"width: 20px; height: 20px;background-color: rgb(138, 138, 138);\"></td><td title=\"Index: [0, 14]&#10;Color: (148, 148, 148)\" style=\"width: 20px; height: 20px;background-color: rgb(148, 148, 148);\"></td><td title=\"Index: [0, 15]&#10;Color: (159, 159, 159)\" style=\"width: 20px; height: 20px;background-color: rgb(159, 159, 159);\"></td><td title=\"Index: [0, 16]&#10;Color: (170, 170, 170)\" style=\"width: 20px; height: 20px;background-color: rgb(170, 170, 170);\"></td><td title=\"Index: [0, 17]&#10;Color: (180, 180, 180)\" style=\"width: 20px; height: 20px;background-color: rgb(180, 180, 180);\"></td><td title=\"Index: [0, 18]&#10;Color: (191, 191, 191)\" style=\"width: 20px; height: 20px;background-color: rgb(191, 191, 191);\"></td><td title=\"Index: [0, 19]&#10;Color: (201, 201, 201)\" style=\"width: 20px; height: 20px;background-color: rgb(201, 201, 201);\"></td><td title=\"Index: [0, 20]&#10;Color: (212, 212, 212)\" style=\"width: 20px; height: 20px;background-color: rgb(212, 212, 212);\"></td><td title=\"Index: [0, 21]&#10;Color: (223, 223, 223)\" style=\"width: 20px; height: 20px;background-color: rgb(223, 223, 223);\"></td><td title=\"Index: [0, 22]&#10;Color: (233, 233, 233)\" style=\"width: 20px; height: 20px;background-color: rgb(233, 233, 233);\"></td><td title=\"Index: [0, 23]&#10;Color: (244, 244, 244)\" style=\"width: 20px; height: 20px;background-color: rgb(244, 244, 244);\"></td><td title=\"Index: [0, 24]&#10;Color: (255, 255, 255)\" style=\"width: 20px; height: 20px;background-color: rgb(255, 255, 255);\"></td></tr></tbody></table>\n"
     ]
    }
   ],
   "source": [
    "print(grid._repr_html_())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    }
   ],
   "source": [
    "%pylab inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "x = np.linspace(0, 100, 25)\n",
    "y = x**2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.colors.Normalize at 0x402b2e8>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "matplotlib.colors.Normalize()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# dir(matplotlib.colors.Normalize)\n",
    "\n",
    "# matplotlib.colors.Normalize.autoscale(y)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import re\n",
    "import webcolors\n",
    "import numpy as np\n",
    "\n",
    "def color_range(start_color, end_color, steps=None, output_format=None):\n",
    "    \n",
    "    output_format = output_format or \"rbg\"\n",
    "    \n",
    "    try:\n",
    "        base = np.array(webcolors.name_to_rgb(start_color))\n",
    "\n",
    "        direction = np.array(webcolors.name_to_rgb(end_color))\n",
    "    except:\n",
    "        pass\n",
    "    try:\n",
    "        base = np.array(webcolors.hex_to_rgb(start_color))\n",
    "        direction = np.array(webcolors.hex_to_rgb(end_color))\n",
    "    except:\n",
    "        pass\n",
    "\n",
    "    r = np.linspace(base[0],direction[0],steps,dtype=\"int32\")\n",
    "    g = np.linspace(base[1],direction[1],steps,dtype=\"int32\")\n",
    "    b = np.linspace(base[2],direction[2],steps,dtype=\"int32\")\n",
    "    \n",
    "    if re.search(\"[Rr][Gg][Bg]\", output_format) is not None:\n",
    "        return r,g,b\n",
    "    if re.search(\"[Hh][Ee][Xx]\",output_format) is not None:\n",
    "        hex_list = [webcolors.rgb_to_hex([r[i],g[i],b[i]]) for i in range(steps)]\n",
    "        return hex_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <a href=\"http://bokeh.pydata.org\" target=\"_blank\" class=\"bk-logo bk-logo-small bk-logo-notebook\"></a>\n",
       "        <span id=\"9d59418e-60ab-4fce-b06a-0dee4fa5c5bc\">Loading BokehJS ...</span>\n",
       "    </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "\n",
       "(function(global) {\n",
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       "\n",
       "  var force = true;\n",
       "\n",
       "  if (typeof (window._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n",
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       "  }\n",
       "\n",
       "\n",
       "  \n",
       "  if (typeof (window._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "    window._bokeh_timeout = Date.now() + 5000;\n",
       "    window._bokeh_failed_load = false;\n",
       "  }\n",
       "\n",
       "  var NB_LOAD_WARNING = {'data': {'text/html':\n",
       "     \"<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",
       "     \"<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",
       "    if (window.Bokeh !== undefined) {\n",
       "      var el = document.getElementById(\"9d59418e-60ab-4fce-b06a-0dee4fa5c5bc\");\n",
       "      el.textContent = \"BokehJS \" + Bokeh.version + \" successfully loaded.\";\n",
       "    } else if (Date.now() < window._bokeh_timeout) {\n",
       "      setTimeout(display_loaded, 100)\n",
       "    }\n",
       "  }\n",
       "\n",
       "  function run_callbacks() {\n",
       "    try {\n",
       "      window._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
       "    }\n",
       "    finally {\n",
       "      delete window._bokeh_onload_callbacks\n",
       "    }\n",
       "    console.info(\"Bokeh: all callbacks have finished\");\n",
       "  }\n",
       "\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",
       "      return null;\n",
       "    }\n",
       "    if (js_urls == null || js_urls.length === 0) {\n",
       "      run_callbacks();\n",
       "      return null;\n",
       "    }\n",
       "    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",
       "      var s = document.createElement('script');\n",
       "      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",
       "          run_callbacks()\n",
       "        }\n",
       "      };\n",
       "      s.onerror = function() {\n",
       "        console.warn(\"failed to load library \" + url);\n",
       "      };\n",
       "      console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "      document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "    }\n",
       "  };var element = document.getElementById(\"9d59418e-60ab-4fce-b06a-0dee4fa5c5bc\");\n",
       "  if (element == null) {\n",
       "    console.log(\"Bokeh: ERROR: autoload.js configured with elementid '9d59418e-60ab-4fce-b06a-0dee4fa5c5bc' but no matching script tag was found. \")\n",
       "    return false;\n",
       "  }\n",
       "\n",
       "  var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.6.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.6.min.js\"];\n",
       "\n",
       "  var inline_js = [\n",
       "    function(Bokeh) {\n",
       "      Bokeh.set_log_level(\"info\");\n",
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       "    \n",
       "    function(Bokeh) {\n",
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       "    },\n",
       "    function(Bokeh) {\n",
       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-0.12.6.min.css\");\n",
       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.6.min.css\");\n",
       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.6.min.css\");\n",
       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.6.min.css\");\n",
       "    }\n",
       "  ];\n",
       "\n",
       "  function run_inline_js() {\n",
       "    \n",
       "    if ((window.Bokeh !== undefined) || (force === true)) {\n",
       "      for (var i = 0; i < inline_js.length; i++) {\n",
       "        inline_js[i](window.Bokeh);\n",
       "      }if (force === true) {\n",
       "        display_loaded();\n",
       "      }} else if (Date.now() < window._bokeh_timeout) {\n",
       "      setTimeout(run_inline_js, 100);\n",
       "    } else if (!window._bokeh_failed_load) {\n",
       "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
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       "      var cell = $(document.getElementById(\"9d59418e-60ab-4fce-b06a-0dee4fa5c5bc\")).parents('.cell').data().cell;\n",
       "      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "    }\n",
       "\n",
       "  }\n",
       "\n",
       "  if (window._bokeh_is_loading === 0) {\n",
       "    console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "    run_inline_js();\n",
       "  } else {\n",
       "    load_libs(js_urls, function() {\n",
       "      console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "      run_inline_js();\n",
       "    });\n",
       "  }\n",
       "}(this));"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from math import pi\n",
    "import pandas as pd\n",
    "\n",
    "# from bokeh.io import show\n",
    "from bokeh.io import push_notebook, show, output_notebook\n",
    "\n",
    "from bokeh.models import (\n",
    "    ColumnDataSource,\n",
    "    HoverTool,\n",
    "    LinearColorMapper,\n",
    "    BasicTicker,\n",
    "    PrintfTickFormatter,\n",
    "    ColorBar,\n",
    ")\n",
    "from bokeh.plotting import figure\n",
    "from bokeh.sampledata.unemployment1948 import data\n",
    "output_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "data['Year'] = data['Year'].astype(str)\n",
    "data = data.set_index('Year')\n",
    "data.drop('Annual', axis=1, inplace=True)\n",
    "data.columns.name = 'Month'\n",
    "\n",
    "years = list(data.index)\n",
    "months = list(data.columns)\n",
    "\n",
    "# reshape to 1D array or rates with a month and year for each row.\n",
    "df = pd.DataFrame(data.stack(), columns=['rate']).reset_index()\n",
    "\n",
    "# this is the colormap from the original NYTimes plot\n",
    "# colors = [\"#75968f\", \"#a5bab7\", \"#c9d9d3\", \"#e2e2e2\", \"#dfccce\", \"#ddb7b1\", \"#cc7878\", \"#933b41\", \"#550b1d\"]\n",
    "# colors = [\"#75968f\", \"#a5bab7\", \"#c9d9d3\"]\n",
    "colors = color_range(\"forestgreen\",\"red\",25,\"hex\")\n",
    "# colors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['#228b22',\n",
       " '#2b8520',\n",
       " '#347f1f',\n",
       " '#3d791d',\n",
       " '#46731c',\n",
       " '#506e1a',\n",
       " '#596819',\n",
       " '#626218',\n",
       " '#6b5c16',\n",
       " '#745615',\n",
       " '#7e5113',\n",
       " '#874b12',\n",
       " '#904511',\n",
       " '#993f0f',\n",
       " '#a2390e',\n",
       " '#ac340c',\n",
       " '#b52e0b',\n",
       " '#be2809',\n",
       " '#c72208',\n",
       " '#d01c07',\n",
       " '#da1705',\n",
       " '#e31104',\n",
       " '#ec0b02',\n",
       " '#f50501',\n",
       " '#ff0000']"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "colors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['#228b22',\n",
       " '#2b8520',\n",
       " '#347f1f',\n",
       " '#3d791d',\n",
       " '#46731c',\n",
       " '#506e1a',\n",
       " '#596819',\n",
       " '#626218',\n",
       " '#6b5c16',\n",
       " '#745615',\n",
       " '#7e5113',\n",
       " '#874b12',\n",
       " '#904511',\n",
       " '#993f0f',\n",
       " '#a2390e',\n",
       " '#ac340c',\n",
       " '#b52e0b',\n",
       " '#be2809',\n",
       " '#c72208',\n",
       " '#d01c07',\n",
       " '#da1705',\n",
       " '#e31104',\n",
       " '#ec0b02',\n",
       " '#f50501',\n",
       " '#ff0000']"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mapper = LinearColorMapper(palette=colors, low=df.rate.min(), high=df.rate.max())\n",
    "mapper.palette"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <div class=\"bk-plotdiv\" id=\"8bff9f9d-9066-41d7-b085-2203adb59a93\"></div>\n",
       "    </div>\n",
       "<script type=\"text/javascript\">\n",
       "  \n",
       "  (function(global) {\n",
       "    function now() {\n",
       "      return new Date();\n",
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       "    var force = false;\n",
       "  \n",
       "    if (typeof (window._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n",
       "      window._bokeh_onload_callbacks = [];\n",
       "      window._bokeh_is_loading = undefined;\n",
       "    }\n",
       "  \n",
       "  \n",
       "    \n",
       "    if (typeof (window._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "      window._bokeh_timeout = Date.now() + 0;\n",
       "      window._bokeh_failed_load = false;\n",
       "    }\n",
       "  \n",
       "    var NB_LOAD_WARNING = {'data': {'text/html':\n",
       "       \"<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",
       "       \"<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",
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       "        setTimeout(display_loaded, 100)\n",
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       "  \n",
       "    function run_callbacks() {\n",
       "      try {\n",
       "        window._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
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       "      finally {\n",
       "        delete window._bokeh_onload_callbacks\n",
       "      }\n",
       "      console.info(\"Bokeh: all callbacks have finished\");\n",
       "    }\n",
       "  \n",
       "    function load_libs(js_urls, callback) {\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",
       "      }\n",
       "      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",
       "        var s = document.createElement('script');\n",
       "        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",
       "            run_callbacks()\n",
       "          }\n",
       "        };\n",
       "        s.onerror = function() {\n",
       "          console.warn(\"failed to load library \" + url);\n",
       "        };\n",
       "        console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "        document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "      }\n",
       "    };var element = document.getElementById(\"8bff9f9d-9066-41d7-b085-2203adb59a93\");\n",
       "    if (element == null) {\n",
       "      console.log(\"Bokeh: ERROR: autoload.js configured with elementid '8bff9f9d-9066-41d7-b085-2203adb59a93' but no matching script tag was found. \")\n",
       "      return false;\n",
       "    }\n",
       "  \n",
       "    var js_urls = [];\n",
       "  \n",
       "    var inline_js = [\n",
       "      function(Bokeh) {\n",
       "        (function() {\n",
       "          var fn = function() {\n",
       "            var docs_json = 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Application\",\"version\":\"0.12.6\"}};\n",
       "            var render_items = [{\"docid\":\"50dd7c95-86c8-4967-ab62-e20bfc90bc26\",\"elementid\":\"8bff9f9d-9066-41d7-b085-2203adb59a93\",\"modelid\":\"1181950f-81e8-4c64-b3f3-51a617549536\"}];\n",
       "            \n",
       "            Bokeh.embed.embed_items(docs_json, render_items);\n",
       "          };\n",
       "          if (document.readyState != \"loading\") fn();\n",
       "          else document.addEventListener(\"DOMContentLoaded\", fn);\n",
       "        })();\n",
       "      },\n",
       "      function(Bokeh) {\n",
       "      }\n",
       "    ];\n",
       "  \n",
       "    function run_inline_js() {\n",
       "      \n",
       "      if ((window.Bokeh !== undefined) || (force === true)) {\n",
       "        for (var i = 0; i < inline_js.length; i++) {\n",
       "          inline_js[i](window.Bokeh);\n",
       "        }if (force === true) {\n",
       "          display_loaded();\n",
       "        }} else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(run_inline_js, 100);\n",
       "      } else if (!window._bokeh_failed_load) {\n",
       "        console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "        window._bokeh_failed_load = true;\n",
       "      } else if (force !== true) {\n",
       "        var cell = $(document.getElementById(\"8bff9f9d-9066-41d7-b085-2203adb59a93\")).parents('.cell').data().cell;\n",
       "        cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "      }\n",
       "  \n",
       "    }\n",
       "  \n",
       "    if (window._bokeh_is_loading === 0) {\n",
       "      console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "      run_inline_js();\n",
       "    } else {\n",
       "      load_libs(js_urls, function() {\n",
       "        console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "        run_inline_js();\n",
       "      });\n",
       "    }\n",
       "  }(this));\n",
       "</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "source = ColumnDataSource(df)\n",
    "\n",
    "TOOLS = \"hover,save,pan,box_zoom,reset,wheel_zoom\"\n",
    "\n",
    "p = figure(title=\"US Unemployment ({0} - {1})\".format(years[0], years[-1]),\n",
    "           x_range=years, y_range=list(reversed(months)),\n",
    "           x_axis_location=\"above\", plot_width=900, plot_height=400,\n",
    "           tools=TOOLS, toolbar_location='below')\n",
    "\n",
    "p.grid.grid_line_color = None\n",
    "p.axis.axis_line_color = None\n",
    "p.axis.major_tick_line_color = None\n",
    "p.axis.major_label_text_font_size = \"5pt\"\n",
    "p.axis.major_label_standoff = 0\n",
    "p.xaxis.major_label_orientation = pi / 3\n",
    "\n",
    "p.rect(x=\"Year\", y=\"Month\", width=1, height=1,\n",
    "       source=source,\n",
    "       fill_color={'field': 'rate', 'transform': mapper},\n",
    "       line_color=None)\n",
    "\n",
    "color_bar = ColorBar(color_mapper=mapper, major_label_text_font_size=\"5pt\",\n",
    "                     ticker=BasicTicker(desired_num_ticks=len(colors)),\n",
    "                     formatter=PrintfTickFormatter(format=\"%f%%\"),\n",
    "                     label_standoff=6, border_line_color=None, location=(0, 0))\n",
    "p.add_layout(color_bar, 'right')\n",
    "\n",
    "p.select_one(HoverTool).tooltips = [\n",
    "     ('date', '@Month @Year'),\n",
    "     ('rate', '@rate%'),\n",
    "]\n",
    "\n",
    "show(p)      # show the plot"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "---\n",
    "\n",
    "## from [bokeh users guide interaction/widgets](http://bokeh.pydata.org/en/latest/docs/user_guide/interaction/widgets.html)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <a href=\"http://bokeh.pydata.org\" target=\"_blank\" class=\"bk-logo bk-logo-small bk-logo-notebook\"></a>\n",
       "        <span id=\"bd1b2436-7879-45fd-8679-c2d74c1bfa10\">Loading BokehJS ...</span>\n",
       "    </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "\n",
       "(function(global) {\n",
       "  function now() {\n",
       "    return new Date();\n",
       "  }\n",
       "\n",
       "  var force = true;\n",
       "\n",
       "  if (typeof (window._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n",
       "    window._bokeh_onload_callbacks = [];\n",
       "    window._bokeh_is_loading = undefined;\n",
       "  }\n",
       "\n",
       "\n",
       "  \n",
       "  if (typeof (window._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "    window._bokeh_timeout = Date.now() + 5000;\n",
       "    window._bokeh_failed_load = false;\n",
       "  }\n",
       "\n",
       "  var NB_LOAD_WARNING = {'data': {'text/html':\n",
       "     \"<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",
       "     \"<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",
       "    if (window.Bokeh !== undefined) {\n",
       "      var el = document.getElementById(\"bd1b2436-7879-45fd-8679-c2d74c1bfa10\");\n",
       "      el.textContent = \"BokehJS \" + Bokeh.version + \" successfully loaded.\";\n",
       "    } else if (Date.now() < window._bokeh_timeout) {\n",
       "      setTimeout(display_loaded, 100)\n",
       "    }\n",
       "  }\n",
       "\n",
       "  function run_callbacks() {\n",
       "    try {\n",
       "      window._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
       "    }\n",
       "    finally {\n",
       "      delete window._bokeh_onload_callbacks\n",
       "    }\n",
       "    console.info(\"Bokeh: all callbacks have finished\");\n",
       "  }\n",
       "\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",
       "      return null;\n",
       "    }\n",
       "    if (js_urls == null || js_urls.length === 0) {\n",
       "      run_callbacks();\n",
       "      return null;\n",
       "    }\n",
       "    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",
       "      var s = document.createElement('script');\n",
       "      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",
       "          run_callbacks()\n",
       "        }\n",
       "      };\n",
       "      s.onerror = function() {\n",
       "        console.warn(\"failed to load library \" + url);\n",
       "      };\n",
       "      console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "      document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "    }\n",
       "  };var element = document.getElementById(\"bd1b2436-7879-45fd-8679-c2d74c1bfa10\");\n",
       "  if (element == null) {\n",
       "    console.log(\"Bokeh: ERROR: autoload.js configured with elementid 'bd1b2436-7879-45fd-8679-c2d74c1bfa10' but no matching script tag was found. \")\n",
       "    return false;\n",
       "  }\n",
       "\n",
       "  var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.6.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.6.min.js\"];\n",
       "\n",
       "  var inline_js = [\n",
       "    function(Bokeh) {\n",
       "      Bokeh.set_log_level(\"info\");\n",
       "    },\n",
       "    \n",
       "    function(Bokeh) {\n",
       "      \n",
       "    },\n",
       "    \n",
       "    function(Bokeh) {\n",
       "      \n",
       "      document.getElementById(\"bd1b2436-7879-45fd-8679-c2d74c1bfa10\").textContent = \"BokehJS is loading...\";\n",
       "    },\n",
       "    function(Bokeh) {\n",
       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-0.12.6.min.css\");\n",
       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.6.min.css\");\n",
       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.6.min.css\");\n",
       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.6.min.css\");\n",
       "    }\n",
       "  ];\n",
       "\n",
       "  function run_inline_js() {\n",
       "    \n",
       "    if ((window.Bokeh !== undefined) || (force === true)) {\n",
       "      for (var i = 0; i < inline_js.length; i++) {\n",
       "        inline_js[i](window.Bokeh);\n",
       "      }if (force === true) {\n",
       "        display_loaded();\n",
       "      }} else if (Date.now() < window._bokeh_timeout) {\n",
       "      setTimeout(run_inline_js, 100);\n",
       "    } else if (!window._bokeh_failed_load) {\n",
       "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "      window._bokeh_failed_load = true;\n",
       "    } else if (force !== true) {\n",
       "      var cell = $(document.getElementById(\"bd1b2436-7879-45fd-8679-c2d74c1bfa10\")).parents('.cell').data().cell;\n",
       "      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "    }\n",
       "\n",
       "  }\n",
       "\n",
       "  if (window._bokeh_is_loading === 0) {\n",
       "    console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "    run_inline_js();\n",
       "  } else {\n",
       "    load_libs(js_urls, function() {\n",
       "      console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "      run_inline_js();\n",
       "    });\n",
       "  }\n",
       "}(this));"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from bokeh.io import push_notebook, show, output_notebook\n",
    "output_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <div class=\"bk-plotdiv\" id=\"1376b8bb-77d5-4162-bd1d-6390434679bc\"></div>\n",
       "    </div>\n",
       "<script type=\"text/javascript\">\n",
       "  \n",
       "  (function(global) {\n",
       "    function now() {\n",
       "      return new Date();\n",
       "    }\n",
       "  \n",
       "    var force = false;\n",
       "  \n",
       "    if (typeof (window._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n",
       "      window._bokeh_onload_callbacks = [];\n",
       "      window._bokeh_is_loading = undefined;\n",
       "    }\n",
       "  \n",
       "  \n",
       "    \n",
       "    if (typeof (window._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "      window._bokeh_timeout = Date.now() + 0;\n",
       "      window._bokeh_failed_load = false;\n",
       "    }\n",
       "  \n",
       "    var NB_LOAD_WARNING = {'data': {'text/html':\n",
       "       \"<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",
       "       \"<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",
       "      if (window.Bokeh !== undefined) {\n",
       "        var el = document.getElementById(\"1376b8bb-77d5-4162-bd1d-6390434679bc\");\n",
       "        el.textContent = \"BokehJS \" + Bokeh.version + \" successfully loaded.\";\n",
       "      } else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(display_loaded, 100)\n",
       "      }\n",
       "    }\n",
       "  \n",
       "    function run_callbacks() {\n",
       "      try {\n",
       "        window._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
       "      }\n",
       "      finally {\n",
       "        delete window._bokeh_onload_callbacks\n",
       "      }\n",
       "      console.info(\"Bokeh: all callbacks have finished\");\n",
       "    }\n",
       "  \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",
       "        return null;\n",
       "      }\n",
       "      if (js_urls == null || js_urls.length === 0) {\n",
       "        run_callbacks();\n",
       "        return null;\n",
       "      }\n",
       "      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",
       "        var s = document.createElement('script');\n",
       "        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",
       "            run_callbacks()\n",
       "          }\n",
       "        };\n",
       "        s.onerror = function() {\n",
       "          console.warn(\"failed to load library \" + url);\n",
       "        };\n",
       "        console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "        document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "      }\n",
       "    };var element = document.getElementById(\"1376b8bb-77d5-4162-bd1d-6390434679bc\");\n",
       "    if (element == null) {\n",
       "      console.log(\"Bokeh: ERROR: autoload.js configured with elementid '1376b8bb-77d5-4162-bd1d-6390434679bc' but no matching script tag was found. \")\n",
       "      return false;\n",
       "    }\n",
       "  \n",
       "    var js_urls = [];\n",
       "  \n",
       "    var inline_js = [\n",
       "      function(Bokeh) {\n",
       "        (function() {\n",
       "          var fn = function() {\n",
       "            var docs_json = {\"a83c392b-b40d-4904-a5eb-e0bc1fe9f273\":{\"roots\":{\"references\":[{\"attributes\":{\"editor\":{\"id\":\"1fc5edc5-877c-45da-9e9a-aca00c25c111\",\"type\":\"StringEditor\"},\"field\":\"dates\",\"formatter\":{\"id\":\"e92b6642-da18-4d02-b855-b340b55a5f50\",\"type\":\"DateFormatter\"},\"title\":\"Date\"},\"id\":\"4ae4a2a1-fa8d-4630-85f1-e389526a9862\",\"type\":\"TableColumn\"},{\"attributes\":{},\"id\":\"111aa669-d4e5-451d-a084-27e4dbd812fe\",\"type\":\"StringFormatter\"},{\"attributes\":{},\"id\":\"016bf6a3-0eeb-40f2-8791-bf9e50ffb3a8\",\"type\":\"StringEditor\"},{\"attributes\":{\"editor\":{\"id\":\"016bf6a3-0eeb-40f2-8791-bf9e50ffb3a8\",\"type\":\"StringEditor\"},\"field\":\"downloads\",\"formatter\":{\"id\":\"111aa669-d4e5-451d-a084-27e4dbd812fe\",\"type\":\"StringFormatter\"},\"title\":\"Downloads\"},\"id\":\"d567a3ce-7505-401d-8e0f-d330d268f514\",\"type\":\"TableColumn\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"dates\",\"downloads\"],\"data\":{\"dates\":[1393632000000.0,1393718400000.0,1393804800000.0,1393891200000.0,1393977600000.0,1394064000000.0,1394150400000.0,1394236800000.0,1394323200000.0,1394409600000.0],\"downloads\":[33,37,34,73,16,1,6,28,42,93]}},\"id\":\"94b5575a-9fed-4ddb-a8cb-27eadbe6029f\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"columns\":[{\"id\":\"4ae4a2a1-fa8d-4630-85f1-e389526a9862\",\"type\":\"TableColumn\"},{\"id\":\"d567a3ce-7505-401d-8e0f-d330d268f514\",\"type\":\"TableColumn\"}],\"height\":280,\"source\":{\"id\":\"94b5575a-9fed-4ddb-a8cb-27eadbe6029f\",\"type\":\"ColumnDataSource\"},\"width\":200},\"id\":\"f5199cdb-a792-413f-bf9f-a5f9d104463c\",\"type\":\"DataTable\"},{\"attributes\":{},\"id\":\"e92b6642-da18-4d02-b855-b340b55a5f50\",\"type\":\"DateFormatter\"},{\"attributes\":{},\"id\":\"1fc5edc5-877c-45da-9e9a-aca00c25c111\",\"type\":\"StringEditor\"},{\"attributes\":{\"children\":[{\"id\":\"f5199cdb-a792-413f-bf9f-a5f9d104463c\",\"type\":\"DataTable\"}]},\"id\":\"150c3f81-731a-4d21-8759-8ce82bcad519\",\"type\":\"WidgetBox\"}],\"root_ids\":[\"150c3f81-731a-4d21-8759-8ce82bcad519\"]},\"title\":\"Bokeh Application\",\"version\":\"0.12.6\"}};\n",
       "            var render_items = [{\"docid\":\"a83c392b-b40d-4904-a5eb-e0bc1fe9f273\",\"elementid\":\"1376b8bb-77d5-4162-bd1d-6390434679bc\",\"modelid\":\"150c3f81-731a-4d21-8759-8ce82bcad519\"}];\n",
       "            \n",
       "            Bokeh.embed.embed_items(docs_json, render_items);\n",
       "          };\n",
       "          if (document.readyState != \"loading\") fn();\n",
       "          else document.addEventListener(\"DOMContentLoaded\", fn);\n",
       "        })();\n",
       "      },\n",
       "      function(Bokeh) {\n",
       "      }\n",
       "    ];\n",
       "  \n",
       "    function run_inline_js() {\n",
       "      \n",
       "      if ((window.Bokeh !== undefined) || (force === true)) {\n",
       "        for (var i = 0; i < inline_js.length; i++) {\n",
       "          inline_js[i](window.Bokeh);\n",
       "        }if (force === true) {\n",
       "          display_loaded();\n",
       "        }} else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(run_inline_js, 100);\n",
       "      } else if (!window._bokeh_failed_load) {\n",
       "        console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "        window._bokeh_failed_load = true;\n",
       "      } else if (force !== true) {\n",
       "        var cell = $(document.getElementById(\"1376b8bb-77d5-4162-bd1d-6390434679bc\")).parents('.cell').data().cell;\n",
       "        cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "      }\n",
       "  \n",
       "    }\n",
       "  \n",
       "    if (window._bokeh_is_loading === 0) {\n",
       "      console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "      run_inline_js();\n",
       "    } else {\n",
       "      load_libs(js_urls, function() {\n",
       "        console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "        run_inline_js();\n",
       "      });\n",
       "    }\n",
       "  }(this));\n",
       "</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from datetime import date\n",
    "from random import randint\n",
    "\n",
    "# from bokeh.io import output_file, show\n",
    "from bokeh.layouts import widgetbox\n",
    "from bokeh.models import ColumnDataSource\n",
    "from bokeh.models.widgets import DataTable, DateFormatter, TableColumn\n",
    "\n",
    "# output_file(\"data_table.html\")\n",
    "\n",
    "data = dict(\n",
    "        dates=[date(2014, 3, i+1) for i in range(10)],\n",
    "        downloads=[randint(0, 100) for i in range(10)],\n",
    "    )\n",
    "source = ColumnDataSource(data)\n",
    "\n",
    "columns = [\n",
    "        TableColumn(field=\"dates\", title=\"Date\", formatter=DateFormatter()),\n",
    "        TableColumn(field=\"downloads\", title=\"Downloads\"),\n",
    "    ]\n",
    "data_table = DataTable(source=source, columns=columns, width=200, height=280)\n",
    "\n",
    "show(widgetbox(data_table))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <div class=\"bk-plotdiv\" id=\"24131c53-29a8-43bf-91e6-ffec179331d6\"></div>\n",
       "    </div>\n",
       "<script type=\"text/javascript\">\n",
       "  \n",
       "  (function(global) {\n",
       "    function now() {\n",
       "      return new Date();\n",
       "    }\n",
       "  \n",
       "    var force = false;\n",
       "  \n",
       "    if (typeof (window._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n",
       "      window._bokeh_onload_callbacks = [];\n",
       "      window._bokeh_is_loading = undefined;\n",
       "    }\n",
       "  \n",
       "  \n",
       "    \n",
       "    if (typeof (window._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "      window._bokeh_timeout = Date.now() + 0;\n",
       "      window._bokeh_failed_load = false;\n",
       "    }\n",
       "  \n",
       "    var NB_LOAD_WARNING = {'data': {'text/html':\n",
       "       \"<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",
       "       \"<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",
       "      if (window.Bokeh !== undefined) {\n",
       "        var el = document.getElementById(\"24131c53-29a8-43bf-91e6-ffec179331d6\");\n",
       "        el.textContent = \"BokehJS \" + Bokeh.version + \" successfully loaded.\";\n",
       "      } else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(display_loaded, 100)\n",
       "      }\n",
       "    }\n",
       "  \n",
       "    function run_callbacks() {\n",
       "      try {\n",
       "        window._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
       "      }\n",
       "      finally {\n",
       "        delete window._bokeh_onload_callbacks\n",
       "      }\n",
       "      console.info(\"Bokeh: all callbacks have finished\");\n",
       "    }\n",
       "  \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",
       "        return null;\n",
       "      }\n",
       "      if (js_urls == null || js_urls.length === 0) {\n",
       "        run_callbacks();\n",
       "        return null;\n",
       "      }\n",
       "      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",
       "        var s = document.createElement('script');\n",
       "        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",
       "            run_callbacks()\n",
       "          }\n",
       "        };\n",
       "        s.onerror = function() {\n",
       "          console.warn(\"failed to load library \" + url);\n",
       "        };\n",
       "        console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "        document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "      }\n",
       "    };var element = document.getElementById(\"24131c53-29a8-43bf-91e6-ffec179331d6\");\n",
       "    if (element == null) {\n",
       "      console.log(\"Bokeh: ERROR: autoload.js configured with elementid '24131c53-29a8-43bf-91e6-ffec179331d6' but no matching script tag was found. \")\n",
       "      return false;\n",
       "    }\n",
       "  \n",
       "    var js_urls = [];\n",
       "  \n",
       "    var inline_js = [\n",
       "      function(Bokeh) {\n",
       "        (function() {\n",
       "          var fn = function() {\n",
       "            var docs_json = {\"b3a8ef35-78b9-4617-8378-be49c2da72cc\":{\"roots\":{\"references\":[{\"attributes\":{\"button_type\":\"warning\",\"callback\":null,\"icon\":null,\"label\":\"Dropdown button\",\"menu\":[[\"Item 1\",\"item_1\"],[\"Item 2\",\"item_2\"],null,[\"Item 3\",\"item_3\"]]},\"id\":\"77509f96-2a96-4073-a08f-37c273efe087\",\"type\":\"Dropdown\"},{\"attributes\":{\"children\":[{\"id\":\"77509f96-2a96-4073-a08f-37c273efe087\",\"type\":\"Dropdown\"}]},\"id\":\"9a384f46-54df-4fd0-8da8-801af2dd16b1\",\"type\":\"WidgetBox\"}],\"root_ids\":[\"9a384f46-54df-4fd0-8da8-801af2dd16b1\"]},\"title\":\"Bokeh Application\",\"version\":\"0.12.6\"}};\n",
       "            var render_items = [{\"docid\":\"b3a8ef35-78b9-4617-8378-be49c2da72cc\",\"elementid\":\"24131c53-29a8-43bf-91e6-ffec179331d6\",\"modelid\":\"9a384f46-54df-4fd0-8da8-801af2dd16b1\"}];\n",
       "            \n",
       "            Bokeh.embed.embed_items(docs_json, render_items);\n",
       "          };\n",
       "          if (document.readyState != \"loading\") fn();\n",
       "          else document.addEventListener(\"DOMContentLoaded\", fn);\n",
       "        })();\n",
       "      },\n",
       "      function(Bokeh) {\n",
       "      }\n",
       "    ];\n",
       "  \n",
       "    function run_inline_js() {\n",
       "      \n",
       "      if ((window.Bokeh !== undefined) || (force === true)) {\n",
       "        for (var i = 0; i < inline_js.length; i++) {\n",
       "          inline_js[i](window.Bokeh);\n",
       "        }if (force === true) {\n",
       "          display_loaded();\n",
       "        }} else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(run_inline_js, 100);\n",
       "      } else if (!window._bokeh_failed_load) {\n",
       "        console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "        window._bokeh_failed_load = true;\n",
       "      } else if (force !== true) {\n",
       "        var cell = $(document.getElementById(\"24131c53-29a8-43bf-91e6-ffec179331d6\")).parents('.cell').data().cell;\n",
       "        cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "      }\n",
       "  \n",
       "    }\n",
       "  \n",
       "    if (window._bokeh_is_loading === 0) {\n",
       "      console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "      run_inline_js();\n",
       "    } else {\n",
       "      load_libs(js_urls, function() {\n",
       "        console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "        run_inline_js();\n",
       "      });\n",
       "    }\n",
       "  }(this));\n",
       "</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# from bokeh.io import output_file, show\n",
    "from bokeh.layouts import widgetbox\n",
    "from bokeh.models.widgets import Dropdown\n",
    "\n",
    "# output_file(\"dropdown.html\")\n",
    "\n",
    "menu = [(\"Item 1\", \"item_1\"), (\"Item 2\", \"item_2\"), None, (\"Item 3\", \"item_3\")]\n",
    "dropdown = Dropdown(label=\"Dropdown button\", button_type=\"warning\", menu=menu)\n",
    "\n",
    "show(widgetbox(dropdown))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <div class=\"bk-plotdiv\" id=\"743c3094-b6e0-49aa-b8c6-0c565f99bf7f\"></div>\n",
       "    </div>\n",
       "<script type=\"text/javascript\">\n",
       "  \n",
       "  (function(global) {\n",
       "    function now() {\n",
       "      return new Date();\n",
       "    }\n",
       "  \n",
       "    var force = false;\n",
       "  \n",
       "    if (typeof (window._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n",
       "      window._bokeh_onload_callbacks = [];\n",
       "      window._bokeh_is_loading = undefined;\n",
       "    }\n",
       "  \n",
       "  \n",
       "    \n",
       "    if (typeof (window._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "      window._bokeh_timeout = Date.now() + 0;\n",
       "      window._bokeh_failed_load = false;\n",
       "    }\n",
       "  \n",
       "    var NB_LOAD_WARNING = {'data': {'text/html':\n",
       "       \"<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",
       "       \"<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",
       "      if (window.Bokeh !== undefined) {\n",
       "        var el = document.getElementById(\"743c3094-b6e0-49aa-b8c6-0c565f99bf7f\");\n",
       "        el.textContent = \"BokehJS \" + Bokeh.version + \" successfully loaded.\";\n",
       "      } else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(display_loaded, 100)\n",
       "      }\n",
       "    }\n",
       "  \n",
       "    function run_callbacks() {\n",
       "      try {\n",
       "        window._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
       "      }\n",
       "      finally {\n",
       "        delete window._bokeh_onload_callbacks\n",
       "      }\n",
       "      console.info(\"Bokeh: all callbacks have finished\");\n",
       "    }\n",
       "  \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",
       "        return null;\n",
       "      }\n",
       "      if (js_urls == null || js_urls.length === 0) {\n",
       "        run_callbacks();\n",
       "        return null;\n",
       "      }\n",
       "      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",
       "        var s = document.createElement('script');\n",
       "        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",
       "            run_callbacks()\n",
       "          }\n",
       "        };\n",
       "        s.onerror = function() {\n",
       "          console.warn(\"failed to load library \" + url);\n",
       "        };\n",
       "        console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "        document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "      }\n",
       "    };var element = document.getElementById(\"743c3094-b6e0-49aa-b8c6-0c565f99bf7f\");\n",
       "    if (element == null) {\n",
       "      console.log(\"Bokeh: ERROR: autoload.js configured with elementid '743c3094-b6e0-49aa-b8c6-0c565f99bf7f' but no matching script tag was found. \")\n",
       "      return false;\n",
       "    }\n",
       "  \n",
       "    var js_urls = [];\n",
       "  \n",
       "    var inline_js = [\n",
       "      function(Bokeh) {\n",
       "        (function() {\n",
       "          var fn = function() {\n",
       "            var docs_json = {\"55bf05c5-cd40-4878-bd4b-af61b43da847\":{\"roots\":{\"references\":[{\"attributes\":{\"children\":[{\"id\":\"2a557a89-4505-438a-be2c-2d6ee72ef3c1\",\"type\":\"Select\"}]},\"id\":\"075f6820-a1e1-422f-914d-3df591cc5d09\",\"type\":\"WidgetBox\"},{\"attributes\":{\"callback\":null,\"options\":[\"foo\",\"bar\",\"baz\",\"quux\"],\"title\":\"Option:\",\"value\":\"foo\"},\"id\":\"2a557a89-4505-438a-be2c-2d6ee72ef3c1\",\"type\":\"Select\"}],\"root_ids\":[\"075f6820-a1e1-422f-914d-3df591cc5d09\"]},\"title\":\"Bokeh Application\",\"version\":\"0.12.6\"}};\n",
       "            var render_items = [{\"docid\":\"55bf05c5-cd40-4878-bd4b-af61b43da847\",\"elementid\":\"743c3094-b6e0-49aa-b8c6-0c565f99bf7f\",\"modelid\":\"075f6820-a1e1-422f-914d-3df591cc5d09\"}];\n",
       "            \n",
       "            Bokeh.embed.embed_items(docs_json, render_items);\n",
       "          };\n",
       "          if (document.readyState != \"loading\") fn();\n",
       "          else document.addEventListener(\"DOMContentLoaded\", fn);\n",
       "        })();\n",
       "      },\n",
       "      function(Bokeh) {\n",
       "      }\n",
       "    ];\n",
       "  \n",
       "    function run_inline_js() {\n",
       "      \n",
       "      if ((window.Bokeh !== undefined) || (force === true)) {\n",
       "        for (var i = 0; i < inline_js.length; i++) {\n",
       "          inline_js[i](window.Bokeh);\n",
       "        }if (force === true) {\n",
       "          display_loaded();\n",
       "        }} else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(run_inline_js, 100);\n",
       "      } else if (!window._bokeh_failed_load) {\n",
       "        console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "        window._bokeh_failed_load = true;\n",
       "      } else if (force !== true) {\n",
       "        var cell = $(document.getElementById(\"743c3094-b6e0-49aa-b8c6-0c565f99bf7f\")).parents('.cell').data().cell;\n",
       "        cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "      }\n",
       "  \n",
       "    }\n",
       "  \n",
       "    if (window._bokeh_is_loading === 0) {\n",
       "      console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "      run_inline_js();\n",
       "    } else {\n",
       "      load_libs(js_urls, function() {\n",
       "        console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "        run_inline_js();\n",
       "      });\n",
       "    }\n",
       "  }(this));\n",
       "</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# from bokeh.io import output_file, show\n",
    "from bokeh.layouts import widgetbox\n",
    "from bokeh.models.widgets import Select\n",
    "\n",
    "# output_file(\"select.html\")\n",
    "\n",
    "select = Select(title=\"Option:\", value=\"foo\", options=[\"foo\", \"bar\", \"baz\", \"quux\"])\n",
    "\n",
    "show(widgetbox(select))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <div class=\"bk-plotdiv\" id=\"4a719d88-c567-4fa3-9d49-2f0f445bc5e4\"></div>\n",
       "    </div>\n",
       "<script type=\"text/javascript\">\n",
       "  \n",
       "  (function(global) {\n",
       "    function now() {\n",
       "      return new Date();\n",
       "    }\n",
       "  \n",
       "    var force = false;\n",
       "  \n",
       "    if (typeof (window._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n",
       "      window._bokeh_onload_callbacks = [];\n",
       "      window._bokeh_is_loading = undefined;\n",
       "    }\n",
       "  \n",
       "  \n",
       "    \n",
       "    if (typeof (window._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "      window._bokeh_timeout = Date.now() + 0;\n",
       "      window._bokeh_failed_load = false;\n",
       "    }\n",
       "  \n",
       "    var NB_LOAD_WARNING = {'data': {'text/html':\n",
       "       \"<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",
       "       \"<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",
       "      if (window.Bokeh !== undefined) {\n",
       "        var el = document.getElementById(\"4a719d88-c567-4fa3-9d49-2f0f445bc5e4\");\n",
       "        el.textContent = \"BokehJS \" + Bokeh.version + \" successfully loaded.\";\n",
       "      } else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(display_loaded, 100)\n",
       "      }\n",
       "    }\n",
       "  \n",
       "    function run_callbacks() {\n",
       "      try {\n",
       "        window._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
       "      }\n",
       "      finally {\n",
       "        delete window._bokeh_onload_callbacks\n",
       "      }\n",
       "      console.info(\"Bokeh: all callbacks have finished\");\n",
       "    }\n",
       "  \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",
       "        return null;\n",
       "      }\n",
       "      if (js_urls == null || js_urls.length === 0) {\n",
       "        run_callbacks();\n",
       "        return null;\n",
       "      }\n",
       "      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",
       "        var s = document.createElement('script');\n",
       "        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",
       "            run_callbacks()\n",
       "          }\n",
       "        };\n",
       "        s.onerror = function() {\n",
       "          console.warn(\"failed to load library \" + url);\n",
       "        };\n",
       "        console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "        document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "      }\n",
       "    };var element = document.getElementById(\"4a719d88-c567-4fa3-9d49-2f0f445bc5e4\");\n",
       "    if (element == null) {\n",
       "      console.log(\"Bokeh: ERROR: autoload.js configured with elementid '4a719d88-c567-4fa3-9d49-2f0f445bc5e4' but no matching script tag was found. \")\n",
       "      return false;\n",
       "    }\n",
       "  \n",
       "    var js_urls = [];\n",
       "  \n",
       "    var inline_js = [\n",
       "      function(Bokeh) {\n",
       "        (function() {\n",
       "          var fn = function() {\n",
       "            var docs_json = {\"03fbd899-8ef3-4194-ac0e-59e0fb0af604\":{\"roots\":{\"references\":[{\"attributes\":{\"callback\":null,\"end\":10,\"title\":\"Stuff\",\"value\":1},\"id\":\"0753d931-8dc1-4e1f-a2e6-6bedcb149908\",\"type\":\"Slider\"},{\"attributes\":{\"children\":[{\"id\":\"0753d931-8dc1-4e1f-a2e6-6bedcb149908\",\"type\":\"Slider\"}]},\"id\":\"0cc20882-4c32-4a09-ba71-c8ca8cc5cc7a\",\"type\":\"WidgetBox\"}],\"root_ids\":[\"0cc20882-4c32-4a09-ba71-c8ca8cc5cc7a\"]},\"title\":\"Bokeh Application\",\"version\":\"0.12.6\"}};\n",
       "            var render_items = [{\"docid\":\"03fbd899-8ef3-4194-ac0e-59e0fb0af604\",\"elementid\":\"4a719d88-c567-4fa3-9d49-2f0f445bc5e4\",\"modelid\":\"0cc20882-4c32-4a09-ba71-c8ca8cc5cc7a\"}];\n",
       "            \n",
       "            Bokeh.embed.embed_items(docs_json, render_items);\n",
       "          };\n",
       "          if (document.readyState != \"loading\") fn();\n",
       "          else document.addEventListener(\"DOMContentLoaded\", fn);\n",
       "        })();\n",
       "      },\n",
       "      function(Bokeh) {\n",
       "      }\n",
       "    ];\n",
       "  \n",
       "    function run_inline_js() {\n",
       "      \n",
       "      if ((window.Bokeh !== undefined) || (force === true)) {\n",
       "        for (var i = 0; i < inline_js.length; i++) {\n",
       "          inline_js[i](window.Bokeh);\n",
       "        }if (force === true) {\n",
       "          display_loaded();\n",
       "        }} else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(run_inline_js, 100);\n",
       "      } else if (!window._bokeh_failed_load) {\n",
       "        console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "        window._bokeh_failed_load = true;\n",
       "      } else if (force !== true) {\n",
       "        var cell = $(document.getElementById(\"4a719d88-c567-4fa3-9d49-2f0f445bc5e4\")).parents('.cell').data().cell;\n",
       "        cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "      }\n",
       "  \n",
       "    }\n",
       "  \n",
       "    if (window._bokeh_is_loading === 0) {\n",
       "      console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "      run_inline_js();\n",
       "    } else {\n",
       "      load_libs(js_urls, function() {\n",
       "        console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "        run_inline_js();\n",
       "      });\n",
       "    }\n",
       "  }(this));\n",
       "</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# from bokeh.io import output_file, show\n",
    "from bokeh.layouts import widgetbox\n",
    "from bokeh.models.widgets import Slider\n",
    "\n",
    "# output_file(\"slider.html\")\n",
    "\n",
    "slider = Slider(start=0, end=10, value=1, step=.1, title=\"Stuff\")\n",
    "\n",
    "show(widgetbox(slider))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <div class=\"bk-plotdiv\" id=\"34386fcc-62cb-42e0-a4fe-09fc9876f9f5\"></div>\n",
       "    </div>\n",
       "<script type=\"text/javascript\">\n",
       "  \n",
       "  (function(global) {\n",
       "    function now() {\n",
       "      return new Date();\n",
       "    }\n",
       "  \n",
       "    var force = false;\n",
       "  \n",
       "    if (typeof (window._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n",
       "      window._bokeh_onload_callbacks = [];\n",
       "      window._bokeh_is_loading = undefined;\n",
       "    }\n",
       "  \n",
       "  \n",
       "    \n",
       "    if (typeof (window._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "      window._bokeh_timeout = Date.now() + 0;\n",
       "      window._bokeh_failed_load = false;\n",
       "    }\n",
       "  \n",
       "    var NB_LOAD_WARNING = {'data': {'text/html':\n",
       "       \"<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",
       "       \"<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",
       "      if (window.Bokeh !== undefined) {\n",
       "        var el = document.getElementById(\"34386fcc-62cb-42e0-a4fe-09fc9876f9f5\");\n",
       "        el.textContent = \"BokehJS \" + Bokeh.version + \" successfully loaded.\";\n",
       "      } else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(display_loaded, 100)\n",
       "      }\n",
       "    }\n",
       "  \n",
       "    function run_callbacks() {\n",
       "      try {\n",
       "        window._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
       "      }\n",
       "      finally {\n",
       "        delete window._bokeh_onload_callbacks\n",
       "      }\n",
       "      console.info(\"Bokeh: all callbacks have finished\");\n",
       "    }\n",
       "  \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",
       "        return null;\n",
       "      }\n",
       "      if (js_urls == null || js_urls.length === 0) {\n",
       "        run_callbacks();\n",
       "        return null;\n",
       "      }\n",
       "      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",
       "        var s = document.createElement('script');\n",
       "        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",
       "            run_callbacks()\n",
       "          }\n",
       "        };\n",
       "        s.onerror = function() {\n",
       "          console.warn(\"failed to load library \" + url);\n",
       "        };\n",
       "        console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "        document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "      }\n",
       "    };var element = document.getElementById(\"34386fcc-62cb-42e0-a4fe-09fc9876f9f5\");\n",
       "    if (element == null) {\n",
       "      console.log(\"Bokeh: ERROR: autoload.js configured with elementid '34386fcc-62cb-42e0-a4fe-09fc9876f9f5' but no matching script tag was found. \")\n",
       "      return false;\n",
       "    }\n",
       "  \n",
       "    var js_urls = [];\n",
       "  \n",
       "    var inline_js = [\n",
       "      function(Bokeh) {\n",
       "        (function() {\n",
       "          var fn = function() {\n",
       "            var docs_json = {\"08ff066f-5eba-42ce-b7a9-b4024c2546bc\":{\"roots\":{\"references\":[{\"attributes\":{\"callback\":null,\"end\":10,\"range\":[1,9],\"title\":\"Stuff\"},\"id\":\"d2493891-819c-4b10-a5bb-f2ad413b0f1d\",\"type\":\"RangeSlider\"},{\"attributes\":{\"children\":[{\"id\":\"d2493891-819c-4b10-a5bb-f2ad413b0f1d\",\"type\":\"RangeSlider\"}]},\"id\":\"993a9a0e-7a7d-4ae3-b6a3-524e8750aa6d\",\"type\":\"WidgetBox\"}],\"root_ids\":[\"993a9a0e-7a7d-4ae3-b6a3-524e8750aa6d\"]},\"title\":\"Bokeh Application\",\"version\":\"0.12.6\"}};\n",
       "            var render_items = [{\"docid\":\"08ff066f-5eba-42ce-b7a9-b4024c2546bc\",\"elementid\":\"34386fcc-62cb-42e0-a4fe-09fc9876f9f5\",\"modelid\":\"993a9a0e-7a7d-4ae3-b6a3-524e8750aa6d\"}];\n",
       "            \n",
       "            Bokeh.embed.embed_items(docs_json, render_items);\n",
       "          };\n",
       "          if (document.readyState != \"loading\") fn();\n",
       "          else document.addEventListener(\"DOMContentLoaded\", fn);\n",
       "        })();\n",
       "      },\n",
       "      function(Bokeh) {\n",
       "      }\n",
       "    ];\n",
       "  \n",
       "    function run_inline_js() {\n",
       "      \n",
       "      if ((window.Bokeh !== undefined) || (force === true)) {\n",
       "        for (var i = 0; i < inline_js.length; i++) {\n",
       "          inline_js[i](window.Bokeh);\n",
       "        }if (force === true) {\n",
       "          display_loaded();\n",
       "        }} else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(run_inline_js, 100);\n",
       "      } else if (!window._bokeh_failed_load) {\n",
       "        console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "        window._bokeh_failed_load = true;\n",
       "      } else if (force !== true) {\n",
       "        var cell = $(document.getElementById(\"34386fcc-62cb-42e0-a4fe-09fc9876f9f5\")).parents('.cell').data().cell;\n",
       "        cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "      }\n",
       "  \n",
       "    }\n",
       "  \n",
       "    if (window._bokeh_is_loading === 0) {\n",
       "      console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "      run_inline_js();\n",
       "    } else {\n",
       "      load_libs(js_urls, function() {\n",
       "        console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "        run_inline_js();\n",
       "      });\n",
       "    }\n",
       "  }(this));\n",
       "</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# from bokeh.io import output_file, show\n",
    "from bokeh.layouts import widgetbox\n",
    "from bokeh.models.widgets import RangeSlider\n",
    "\n",
    "# output_file(\"range_slider.html\")\n",
    "\n",
    "range_slider = RangeSlider(start=0, end=10, range=(1,9),\n",
    "                           step=.1, title=\"Stuff\")\n",
    "\n",
    "show(widgetbox(range_slider))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <div class=\"bk-plotdiv\" id=\"97381848-94fe-47ce-b9bd-df0b7fdbaa1f\"></div>\n",
       "    </div>\n",
       "<script type=\"text/javascript\">\n",
       "  \n",
       "  (function(global) {\n",
       "    function now() {\n",
       "      return new Date();\n",
       "    }\n",
       "  \n",
       "    var force = false;\n",
       "  \n",
       "    if (typeof (window._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n",
       "      window._bokeh_onload_callbacks = [];\n",
       "      window._bokeh_is_loading = undefined;\n",
       "    }\n",
       "  \n",
       "  \n",
       "    \n",
       "    if (typeof (window._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "      window._bokeh_timeout = Date.now() + 0;\n",
       "      window._bokeh_failed_load = false;\n",
       "    }\n",
       "  \n",
       "    var NB_LOAD_WARNING = {'data': {'text/html':\n",
       "       \"<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",
       "       \"<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",
       "      if (window.Bokeh !== undefined) {\n",
       "        var el = document.getElementById(\"97381848-94fe-47ce-b9bd-df0b7fdbaa1f\");\n",
       "        el.textContent = \"BokehJS \" + Bokeh.version + \" successfully loaded.\";\n",
       "      } else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(display_loaded, 100)\n",
       "      }\n",
       "    }\n",
       "  \n",
       "    function run_callbacks() {\n",
       "      try {\n",
       "        window._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
       "      }\n",
       "      finally {\n",
       "        delete window._bokeh_onload_callbacks\n",
       "      }\n",
       "      console.info(\"Bokeh: all callbacks have finished\");\n",
       "    }\n",
       "  \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",
       "        return null;\n",
       "      }\n",
       "      if (js_urls == null || js_urls.length === 0) {\n",
       "        run_callbacks();\n",
       "        return null;\n",
       "      }\n",
       "      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",
       "        var s = document.createElement('script');\n",
       "        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",
       "            run_callbacks()\n",
       "          }\n",
       "        };\n",
       "        s.onerror = function() {\n",
       "          console.warn(\"failed to load library \" + url);\n",
       "        };\n",
       "        console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "        document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "      }\n",
       "    };var element = document.getElementById(\"97381848-94fe-47ce-b9bd-df0b7fdbaa1f\");\n",
       "    if (element == null) {\n",
       "      console.log(\"Bokeh: ERROR: autoload.js configured with elementid '97381848-94fe-47ce-b9bd-df0b7fdbaa1f' but no matching script tag was found. \")\n",
       "      return false;\n",
       "    }\n",
       "  \n",
       "    var js_urls = [];\n",
       "  \n",
       "    var inline_js = [\n",
       "      function(Bokeh) {\n",
       "        (function() {\n",
       "          var fn = function() {\n",
       "            var docs_json = 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       "            var render_items = [{\"docid\":\"81ab1e0b-6161-4b70-bd5c-e0add07353c4\",\"elementid\":\"97381848-94fe-47ce-b9bd-df0b7fdbaa1f\",\"modelid\":\"2eb33206-e897-4f2c-a529-1005e3dea413\"}];\n",
       "            \n",
       "            Bokeh.embed.embed_items(docs_json, render_items);\n",
       "          };\n",
       "          if (document.readyState != \"loading\") fn();\n",
       "          else document.addEventListener(\"DOMContentLoaded\", fn);\n",
       "        })();\n",
       "      },\n",
       "      function(Bokeh) {\n",
       "      }\n",
       "    ];\n",
       "  \n",
       "    function run_inline_js() {\n",
       "      \n",
       "      if ((window.Bokeh !== undefined) || (force === true)) {\n",
       "        for (var i = 0; i < inline_js.length; i++) {\n",
       "          inline_js[i](window.Bokeh);\n",
       "        }if (force === true) {\n",
       "          display_loaded();\n",
       "        }} else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(run_inline_js, 100);\n",
       "      } else if (!window._bokeh_failed_load) {\n",
       "        console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "        window._bokeh_failed_load = true;\n",
       "      } else if (force !== true) {\n",
       "        var cell = $(document.getElementById(\"97381848-94fe-47ce-b9bd-df0b7fdbaa1f\")).parents('.cell').data().cell;\n",
       "        cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "      }\n",
       "  \n",
       "    }\n",
       "  \n",
       "    if (window._bokeh_is_loading === 0) {\n",
       "      console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "      run_inline_js();\n",
       "    } else {\n",
       "      load_libs(js_urls, function() {\n",
       "        console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "        run_inline_js();\n",
       "      });\n",
       "    }\n",
       "  }(this));\n",
       "</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from bokeh.models.widgets import Panel, Tabs\n",
    "# from bokeh.io import output_file, show\n",
    "from bokeh.plotting import figure\n",
    "\n",
    "# output_file(\"slider.html\")\n",
    "\n",
    "p1 = figure(plot_width=300, plot_height=300)\n",
    "\n",
    "p1.circle([1, 2, 3, 4, 5], [6, 7, 2, 4, 5], size=20, color=\"navy\", alpha=0.5)\n",
    "\n",
    "tab1 = Panel(child=p1, title=\"circle\")\n",
    "\n",
    "p2 = figure(plot_width=300, plot_height=300)\n",
    "\n",
    "p2.line([1, 2, 3, 4, 5], [6, 7, 2, 4, 5], line_width=3, color=\"navy\", alpha=0.5)\n",
    "\n",
    "tab2 = Panel(child=p2, title=\"line\")\n",
    "\n",
    "tabs = Tabs(tabs=[ tab1, tab2 ])\n",
    "\n",
    "show(tabs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <div class=\"bk-plotdiv\" id=\"2c863367-a66c-4c6c-af6c-749774bbb945\"></div>\n",
       "    </div>\n",
       "<script type=\"text/javascript\">\n",
       "  \n",
       "  (function(global) {\n",
       "    function now() {\n",
       "      return new Date();\n",
       "    }\n",
       "  \n",
       "    var force = false;\n",
       "  \n",
       "    if (typeof (window._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n",
       "      window._bokeh_onload_callbacks = [];\n",
       "      window._bokeh_is_loading = undefined;\n",
       "    }\n",
       "  \n",
       "  \n",
       "    \n",
       "    if (typeof (window._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "      window._bokeh_timeout = Date.now() + 0;\n",
       "      window._bokeh_failed_load = false;\n",
       "    }\n",
       "  \n",
       "    var NB_LOAD_WARNING = {'data': {'text/html':\n",
       "       \"<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",
       "       \"<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",
       "      if (window.Bokeh !== undefined) {\n",
       "        var el = document.getElementById(\"2c863367-a66c-4c6c-af6c-749774bbb945\");\n",
       "        el.textContent = \"BokehJS \" + Bokeh.version + \" successfully loaded.\";\n",
       "      } else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(display_loaded, 100)\n",
       "      }\n",
       "    }\n",
       "  \n",
       "    function run_callbacks() {\n",
       "      try {\n",
       "        window._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
       "      }\n",
       "      finally {\n",
       "        delete window._bokeh_onload_callbacks\n",
       "      }\n",
       "      console.info(\"Bokeh: all callbacks have finished\");\n",
       "    }\n",
       "  \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",
       "        return null;\n",
       "      }\n",
       "      if (js_urls == null || js_urls.length === 0) {\n",
       "        run_callbacks();\n",
       "        return null;\n",
       "      }\n",
       "      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",
       "        var s = document.createElement('script');\n",
       "        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",
       "            run_callbacks()\n",
       "          }\n",
       "        };\n",
       "        s.onerror = function() {\n",
       "          console.warn(\"failed to load library \" + url);\n",
       "        };\n",
       "        console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "        document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "      }\n",
       "    };var element = document.getElementById(\"2c863367-a66c-4c6c-af6c-749774bbb945\");\n",
       "    if (element == null) {\n",
       "      console.log(\"Bokeh: ERROR: autoload.js configured with elementid '2c863367-a66c-4c6c-af6c-749774bbb945' but no matching script tag was found. \")\n",
       "      return false;\n",
       "    }\n",
       "  \n",
       "    var js_urls = [];\n",
       "  \n",
       "    var inline_js = [\n",
       "      function(Bokeh) {\n",
       "        (function() {\n",
       "          var fn = function() {\n",
       "            var docs_json = {\"5503e363-19fb-4a2d-8856-b80d5da0ecf5\":{\"roots\":{\"references\":[{\"attributes\":{\"active\":0,\"callback\":null,\"labels\":[\"Option 1\",\"Option 2\",\"Option 3\"]},\"id\":\"54b03c5d-9a4c-4f74-95b5-54941e54479a\",\"type\":\"RadioGroup\"}],\"root_ids\":[\"54b03c5d-9a4c-4f74-95b5-54941e54479a\"]},\"title\":\"Bokeh Application\",\"version\":\"0.12.6\"}};\n",
       "            var render_items = [{\"docid\":\"5503e363-19fb-4a2d-8856-b80d5da0ecf5\",\"elementid\":\"2c863367-a66c-4c6c-af6c-749774bbb945\",\"modelid\":\"54b03c5d-9a4c-4f74-95b5-54941e54479a\"}];\n",
       "            \n",
       "            Bokeh.embed.embed_items(docs_json, render_items);\n",
       "          };\n",
       "          if (document.readyState != \"loading\") fn();\n",
       "          else document.addEventListener(\"DOMContentLoaded\", fn);\n",
       "        })();\n",
       "      },\n",
       "      function(Bokeh) {\n",
       "      }\n",
       "    ];\n",
       "  \n",
       "    function run_inline_js() {\n",
       "      \n",
       "      if ((window.Bokeh !== undefined) || (force === true)) {\n",
       "        for (var i = 0; i < inline_js.length; i++) {\n",
       "          inline_js[i](window.Bokeh);\n",
       "        }if (force === true) {\n",
       "          display_loaded();\n",
       "        }} else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(run_inline_js, 100);\n",
       "      } else if (!window._bokeh_failed_load) {\n",
       "        console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "        window._bokeh_failed_load = true;\n",
       "      } else if (force !== true) {\n",
       "        var cell = $(document.getElementById(\"2c863367-a66c-4c6c-af6c-749774bbb945\")).parents('.cell').data().cell;\n",
       "        cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "      }\n",
       "  \n",
       "    }\n",
       "  \n",
       "    if (window._bokeh_is_loading === 0) {\n",
       "      console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "      run_inline_js();\n",
       "    } else {\n",
       "      load_libs(js_urls, function() {\n",
       "        console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "        run_inline_js();\n",
       "      });\n",
       "    }\n",
       "  }(this));\n",
       "</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from bokeh.models.widgets import RadioGroup\n",
    "\n",
    "def my_radio_handler(new):\n",
    "    print('Radio button option ' + str(new) + ' selected.')\n",
    "\n",
    "radio_group = RadioGroup(\n",
    "    labels=[\"Option 1\", \"Option 2\", \"Option 3\"], active=0)\n",
    "radio_group.on_click(my_radio_handler)\n",
    "show(radio_group)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <div class=\"bk-plotdiv\" id=\"b06cf321-5c28-4eee-b6f1-e39721e2b988\"></div>\n",
       "    </div>\n",
       "<script type=\"text/javascript\">\n",
       "  \n",
       "  (function(global) {\n",
       "    function now() {\n",
       "      return new Date();\n",
       "    }\n",
       "  \n",
       "    var force = false;\n",
       "  \n",
       "    if (typeof (window._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n",
       "      window._bokeh_onload_callbacks = [];\n",
       "      window._bokeh_is_loading = undefined;\n",
       "    }\n",
       "  \n",
       "  \n",
       "    \n",
       "    if (typeof (window._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "      window._bokeh_timeout = Date.now() + 0;\n",
       "      window._bokeh_failed_load = false;\n",
       "    }\n",
       "  \n",
       "    var NB_LOAD_WARNING = {'data': {'text/html':\n",
       "       \"<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",
       "       \"<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",
       "      if (window.Bokeh !== undefined) {\n",
       "        var el = document.getElementById(\"b06cf321-5c28-4eee-b6f1-e39721e2b988\");\n",
       "        el.textContent = \"BokehJS \" + Bokeh.version + \" successfully loaded.\";\n",
       "      } else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(display_loaded, 100)\n",
       "      }\n",
       "    }\n",
       "  \n",
       "    function run_callbacks() {\n",
       "      try {\n",
       "        window._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
       "      }\n",
       "      finally {\n",
       "        delete window._bokeh_onload_callbacks\n",
       "      }\n",
       "      console.info(\"Bokeh: all callbacks have finished\");\n",
       "    }\n",
       "  \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",
       "        return null;\n",
       "      }\n",
       "      if (js_urls == null || js_urls.length === 0) {\n",
       "        run_callbacks();\n",
       "        return null;\n",
       "      }\n",
       "      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",
       "        var s = document.createElement('script');\n",
       "        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",
       "            run_callbacks()\n",
       "          }\n",
       "        };\n",
       "        s.onerror = function() {\n",
       "          console.warn(\"failed to load library \" + url);\n",
       "        };\n",
       "        console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "        document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "      }\n",
       "    };var element = document.getElementById(\"b06cf321-5c28-4eee-b6f1-e39721e2b988\");\n",
       "    if (element == null) {\n",
       "      console.log(\"Bokeh: ERROR: autoload.js configured with elementid 'b06cf321-5c28-4eee-b6f1-e39721e2b988' but no matching script tag was found. \")\n",
       "      return false;\n",
       "    }\n",
       "  \n",
       "    var js_urls = [];\n",
       "  \n",
       "    var inline_js = [\n",
       "      function(Bokeh) {\n",
       "        (function() {\n",
       "          var fn = function() {\n",
       "            var docs_json = {\"57e16077-a36b-4d11-bb40-4bf280488998\":{\"roots\":{\"references\":[{\"attributes\":{\"height\":200,\"width\":200},\"id\":\"249ce1fc-6d23-4a76-be5b-8b6b0b23be76\",\"type\":\"Div\"},{\"attributes\":{\"children\":[{\"id\":\"d36eaa07-0966-4b7e-9591-6700fccf1b07\",\"type\":\"WidgetBox\"},{\"id\":\"947f4362-36e8-4389-be92-02c7b080b375\",\"type\":\"WidgetBox\"}]},\"id\":\"4f5183b8-b5a3-4901-8e9d-62f6162b5ad4\",\"type\":\"Column\"},{\"attributes\":{\"children\":[{\"id\":\"249ce1fc-6d23-4a76-be5b-8b6b0b23be76\",\"type\":\"Div\"}],\"height\":200,\"width\":200},\"id\":\"947f4362-36e8-4389-be92-02c7b080b375\",\"type\":\"WidgetBox\"},{\"attributes\":{\"callback\":null,\"options\":[\"foo\",\"bar\",\"baz\",\"quux\"],\"title\":\"Option:\",\"value\":\"foo\"},\"id\":\"c89d5928-b884-4d2b-9d58-cdac611a7499\",\"type\":\"Select\"},{\"attributes\":{\"children\":[{\"id\":\"c89d5928-b884-4d2b-9d58-cdac611a7499\",\"type\":\"Select\"}]},\"id\":\"d36eaa07-0966-4b7e-9591-6700fccf1b07\",\"type\":\"WidgetBox\"}],\"root_ids\":[\"4f5183b8-b5a3-4901-8e9d-62f6162b5ad4\"]},\"title\":\"Bokeh Application\",\"version\":\"0.12.6\"}};\n",
       "            var render_items = [{\"docid\":\"57e16077-a36b-4d11-bb40-4bf280488998\",\"elementid\":\"b06cf321-5c28-4eee-b6f1-e39721e2b988\",\"modelid\":\"4f5183b8-b5a3-4901-8e9d-62f6162b5ad4\"}];\n",
       "            \n",
       "            Bokeh.embed.embed_items(docs_json, render_items);\n",
       "          };\n",
       "          if (document.readyState != \"loading\") fn();\n",
       "          else document.addEventListener(\"DOMContentLoaded\", fn);\n",
       "        })();\n",
       "      },\n",
       "      function(Bokeh) {\n",
       "      }\n",
       "    ];\n",
       "  \n",
       "    function run_inline_js() {\n",
       "      \n",
       "      if ((window.Bokeh !== undefined) || (force === true)) {\n",
       "        for (var i = 0; i < inline_js.length; i++) {\n",
       "          inline_js[i](window.Bokeh);\n",
       "        }if (force === true) {\n",
       "          display_loaded();\n",
       "        }} else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(run_inline_js, 100);\n",
       "      } else if (!window._bokeh_failed_load) {\n",
       "        console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "        window._bokeh_failed_load = true;\n",
       "      } else if (force !== true) {\n",
       "        var cell = $(document.getElementById(\"b06cf321-5c28-4eee-b6f1-e39721e2b988\")).parents('.cell').data().cell;\n",
       "        cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "      }\n",
       "  \n",
       "    }\n",
       "  \n",
       "    if (window._bokeh_is_loading === 0) {\n",
       "      console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "      run_inline_js();\n",
       "    } else {\n",
       "      load_libs(js_urls, function() {\n",
       "        console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "        run_inline_js();\n",
       "      });\n",
       "    }\n",
       "  }(this));\n",
       "</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from bokeh.layouts import widgetbox, column\n",
    "from bokeh.models import CustomJS, Div\n",
    "from bokeh.models.widgets import Select\n",
    "\n",
    "select = Select(title=\"Option:\", value=\"foo\",\n",
    "                options=[\"foo\", \"bar\", \"baz\", \"quux\"])\n",
    "\n",
    "div = Div(width=200,height=200)\n",
    "div\n",
    "show(column(widgetbox(select),div))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <div class=\"bk-plotdiv\" id=\"fbd840e1-7c62-4ca1-8f7d-456b8596a809\"></div>\n",
       "    </div>\n",
       "<script type=\"text/javascript\">\n",
       "  \n",
       "  (function(global) {\n",
       "    function now() {\n",
       "      return new Date();\n",
       "    }\n",
       "  \n",
       "    var force = false;\n",
       "  \n",
       "    if (typeof (window._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n",
       "      window._bokeh_onload_callbacks = [];\n",
       "      window._bokeh_is_loading = undefined;\n",
       "    }\n",
       "  \n",
       "  \n",
       "    \n",
       "    if (typeof (window._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "      window._bokeh_timeout = Date.now() + 0;\n",
       "      window._bokeh_failed_load = false;\n",
       "    }\n",
       "  \n",
       "    var NB_LOAD_WARNING = {'data': {'text/html':\n",
       "       \"<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",
       "       \"<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",
       "      if (window.Bokeh !== undefined) {\n",
       "        var el = document.getElementById(\"fbd840e1-7c62-4ca1-8f7d-456b8596a809\");\n",
       "        el.textContent = \"BokehJS \" + Bokeh.version + \" successfully loaded.\";\n",
       "      } else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(display_loaded, 100)\n",
       "      }\n",
       "    }\n",
       "  \n",
       "    function run_callbacks() {\n",
       "      try {\n",
       "        window._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
       "      }\n",
       "      finally {\n",
       "        delete window._bokeh_onload_callbacks\n",
       "      }\n",
       "      console.info(\"Bokeh: all callbacks have finished\");\n",
       "    }\n",
       "  \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",
       "        return null;\n",
       "      }\n",
       "      if (js_urls == null || js_urls.length === 0) {\n",
       "        run_callbacks();\n",
       "        return null;\n",
       "      }\n",
       "      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",
       "        var s = document.createElement('script');\n",
       "        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",
       "            run_callbacks()\n",
       "          }\n",
       "        };\n",
       "        s.onerror = function() {\n",
       "          console.warn(\"failed to load library \" + url);\n",
       "        };\n",
       "        console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "        document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
       "      }\n",
       "    };var element = document.getElementById(\"fbd840e1-7c62-4ca1-8f7d-456b8596a809\");\n",
       "    if (element == null) {\n",
       "      console.log(\"Bokeh: ERROR: autoload.js configured with elementid 'fbd840e1-7c62-4ca1-8f7d-456b8596a809' but no matching script tag was found. \")\n",
       "      return false;\n",
       "    }\n",
       "  \n",
       "    var js_urls = [];\n",
       "  \n",
       "    var inline_js = [\n",
       "      function(Bokeh) {\n",
       "        (function() {\n",
       "          var fn = function() {\n",
       "            var docs_json = 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\",\"dtype\":\"float64\",\"shape\":[4000]},\"y\":{\"__ndarray__\":\"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text.split(\\\"\\\\n\\\")\\n        if ( lines.length > 35 ) { lines.shift(); }\\n        div.text = lines.join(\\\"\\\\n\\\");\\n    \"},\"id\":\"9f05b37c-9fac-4c2a-add6-e91f0b37a384\",\"type\":\"CustomJS\"},{\"attributes\":{\"args\":{\"div\":{\"id\":\"b77453a1-26df-4ce7-88d7-7c77b76f3522\",\"type\":\"Div\"}},\"code\":\"\\n        var attrs = ['x', 'y', 'sx', 'sy', 'delta_x', 'delta_y']; var args = [];\\n        for (var i=0; i<attrs.length; i++ ) {\\n            args.push(attrs[i] + '=' + Number(cb_obj[attrs[i]]).toFixed(2));\\n        }\\n        var line = \\\"<span style='float:left;clear:left;font_size=0.5pt'><b>\\\" + cb_obj.event_name + \\\"</b>(\\\" + args.join(\\\", \\\") + \\\")</span>\\\\n\\\";\\n        var text = div.text.concat(line);\\n        var lines = text.split(\\\"\\\\n\\\")\\n        if ( lines.length > 35 ) { lines.shift(); }\\n        div.text = lines.join(\\\"\\\\n\\\");\\n    \"},\"id\":\"e3a6d464-2251-4c17-9fc1-e5b82d2c915b\",\"type\":\"CustomJS\"},{\"attributes\":{\"args\":{\"div\":{\"id\":\"b77453a1-26df-4ce7-88d7-7c77b76f3522\",\"type\":\"Div\"}},\"code\":\"\\n        var attrs = ['x', 'y', 'sx', 'sy']; var args = [];\\n        for (var i=0; i<attrs.length; i++ ) {\\n            args.push(attrs[i] + '=' + Number(cb_obj[attrs[i]]).toFixed(2));\\n        }\\n        var line = \\\"<span style='float:left;clear:left;font_size=0.5pt'><b>\\\" + cb_obj.event_name + \\\"</b>(\\\" + args.join(\\\", \\\") + \\\")</span>\\\\n\\\";\\n        var text = div.text.concat(line);\\n        var lines = text.split(\\\"\\\\n\\\")\\n        if ( lines.length > 35 ) { lines.shift(); }\\n        div.text = lines.join(\\\"\\\\n\\\");\\n    \"},\"id\":\"ca3f98bf-588a-401a-897c-54767c1620d0\",\"type\":\"CustomJS\"},{\"attributes\":{\"args\":{\"div\":{\"id\":\"b77453a1-26df-4ce7-88d7-7c77b76f3522\",\"type\":\"Div\"}},\"code\":\"\\n        var attrs = ['x', 'y', 'sx', 'sy']; var args = [];\\n        for (var i=0; i<attrs.length; i++ ) {\\n            args.push(attrs[i] + '=' + Number(cb_obj[attrs[i]]).toFixed(2));\\n        }\\n        var line = \\\"<span style='float:left;clear:left;font_size=0.5pt'><b>\\\" + cb_obj.event_name + \\\"</b>(\\\" + args.join(\\\", \\\") + \\\")</span>\\\\n\\\";\\n        var text = div.text.concat(line);\\n        var lines = text.split(\\\"\\\\n\\\")\\n        if ( lines.length > 35 ) { lines.shift(); }\\n        div.text = lines.join(\\\"\\\\n\\\");\\n    \"},\"id\":\"dead9ea1-6a04-4a4f-ab42-02d6890f0da2\",\"type\":\"CustomJS\"},{\"attributes\":{\"args\":{\"div\":{\"id\":\"b77453a1-26df-4ce7-88d7-7c77b76f3522\",\"type\":\"Div\"}},\"code\":\"\\n        var attrs = ['x', 'y', 'sx', 'sy']; var args = [];\\n        for (var i=0; i<attrs.length; i++ ) {\\n            args.push(attrs[i] + '=' + Number(cb_obj[attrs[i]]).toFixed(2));\\n        }\\n        var line = \\\"<span style='float:left;clear:left;font_size=0.5pt'><b>\\\" + cb_obj.event_name + \\\"</b>(\\\" + args.join(\\\", \\\") + \\\")</span>\\\\n\\\";\\n        var text = div.text.concat(line);\\n        var lines = text.split(\\\"\\\\n\\\")\\n        if ( lines.length > 35 ) { lines.shift(); }\\n        div.text = lines.join(\\\"\\\\n\\\");\\n    \"},\"id\":\"cd0cfc8e-b5b4-431a-b39a-ef74aca19210\",\"type\":\"CustomJS\"},{\"attributes\":{\"args\":{\"div\":{\"id\":\"b77453a1-26df-4ce7-88d7-7c77b76f3522\",\"type\":\"Div\"}},\"code\":\"\\n        var attrs = ['x', 'y', 'sx', 'sy']; var args = [];\\n        for (var i=0; i<attrs.length; i++ ) {\\n            args.push(attrs[i] + '=' + Number(cb_obj[attrs[i]]).toFixed(2));\\n        }\\n        var line = \\\"<span style='float:left;clear:left;font_size=0.5pt'><b>\\\" + cb_obj.event_name + \\\"</b>(\\\" + args.join(\\\", \\\") + \\\")</span>\\\\n\\\";\\n        var text = div.text.concat(line);\\n        var lines = text.split(\\\"\\\\n\\\")\\n        if ( lines.length > 35 ) { lines.shift(); }\\n        div.text = lines.join(\\\"\\\\n\\\");\\n    \"},\"id\":\"6c9aea44-d1f5-4983-a880-e36946ed7ac5\",\"type\":\"CustomJS\"},{\"attributes\":{\"args\":{\"div\":{\"id\":\"b77453a1-26df-4ce7-88d7-7c77b76f3522\",\"type\":\"Div\"}},\"code\":\"\\n        var attrs = ['x', 'y', 'sx', 'sy']; var args = [];\\n        for (var i=0; i<attrs.length; i++ ) {\\n            args.push(attrs[i] + '=' + Number(cb_obj[attrs[i]]).toFixed(2));\\n        }\\n        var line = \\\"<span style='float:left;clear:left;font_size=0.5pt'><b>\\\" + cb_obj.event_name + \\\"</b>(\\\" + args.join(\\\", \\\") + \\\")</span>\\\\n\\\";\\n        var text = div.text.concat(line);\\n        var lines = text.split(\\\"\\\\n\\\")\\n        if ( lines.length > 35 ) { lines.shift(); }\\n        div.text = lines.join(\\\"\\\\n\\\");\\n    \"},\"id\":\"665ec952-57a3-4b0c-a667-115bff9f4231\",\"type\":\"CustomJS\"},{\"attributes\":{\"args\":{\"div\":{\"id\":\"b77453a1-26df-4ce7-88d7-7c77b76f3522\",\"type\":\"Div\"}},\"code\":\"\\n        var attrs = ['x', 'y', 'sx', 'sy']; var args = [];\\n        for (var i=0; i<attrs.length; i++ ) {\\n            args.push(attrs[i] + '=' + Number(cb_obj[attrs[i]]).toFixed(2));\\n        }\\n        var line = \\\"<span style='float:left;clear:left;font_size=0.5pt'><b>\\\" + cb_obj.event_name + \\\"</b>(\\\" + args.join(\\\", \\\") + \\\")</span>\\\\n\\\";\\n        var text = div.text.concat(line);\\n        var lines = text.split(\\\"\\\\n\\\")\\n        if ( lines.length > 35 ) { lines.shift(); }\\n        div.text = lines.join(\\\"\\\\n\\\");\\n    \"},\"id\":\"9042a2f8-8f8d-4f62-811d-129087788df8\",\"type\":\"CustomJS\"},{\"attributes\":{\"args\":{\"div\":{\"id\":\"b77453a1-26df-4ce7-88d7-7c77b76f3522\",\"type\":\"Div\"}},\"code\":\"\\n        var attrs = ['x', 'y', 'sx', 'sy']; var args = [];\\n        for (var i=0; i<attrs.length; i++ ) {\\n            args.push(attrs[i] + '=' + Number(cb_obj[attrs[i]]).toFixed(2));\\n        }\\n        var line = \\\"<span style='float:left;clear:left;font_size=0.5pt'><b>\\\" + cb_obj.event_name + \\\"</b>(\\\" + args.join(\\\", \\\") + \\\")</span>\\\\n\\\";\\n        var text = div.text.concat(line);\\n        var lines = text.split(\\\"\\\\n\\\")\\n        if ( lines.length > 35 ) { lines.shift(); }\\n        div.text = lines.join(\\\"\\\\n\\\");\\n    \"},\"id\":\"570980ac-b176-4c1c-882d-68492d695f27\",\"type\":\"CustomJS\"},{\"attributes\":{\"args\":{\"div\":{\"id\":\"b77453a1-26df-4ce7-88d7-7c77b76f3522\",\"type\":\"Div\"}},\"code\":\"\\n        var attrs = ['x', 'y', 'sx', 'sy']; var args = [];\\n        for (var i=0; i<attrs.length; i++ ) {\\n            args.push(attrs[i] + '=' + Number(cb_obj[attrs[i]]).toFixed(2));\\n        }\\n        var line = \\\"<span style='float:left;clear:left;font_size=0.5pt'><b>\\\" + cb_obj.event_name + \\\"</b>(\\\" + args.join(\\\", \\\") + \\\")</span>\\\\n\\\";\\n        var text = div.text.concat(line);\\n        var lines = text.split(\\\"\\\\n\\\")\\n        if ( lines.length > 35 ) { lines.shift(); }\\n        div.text = lines.join(\\\"\\\\n\\\");\\n    \"},\"id\":\"9f3b7b22-e186-43a9-b432-e0f8114ad4e7\",\"type\":\"CustomJS\"},{\"attributes\":{\"args\":{\"div\":{\"id\":\"b77453a1-26df-4ce7-88d7-7c77b76f3522\",\"type\":\"Div\"}},\"code\":\"\\n        var attrs = ['x', 'y', 'sx', 'sy']; var args = [];\\n        for (var i=0; i<attrs.length; i++ ) {\\n            args.push(attrs[i] + '=' + Number(cb_obj[attrs[i]]).toFixed(2));\\n        }\\n        var line = \\\"<span style='float:left;clear:left;font_size=0.5pt'><b>\\\" + cb_obj.event_name + \\\"</b>(\\\" + args.join(\\\", \\\") + \\\")</span>\\\\n\\\";\\n        var text = div.text.concat(line);\\n        var lines = text.split(\\\"\\\\n\\\")\\n        if ( lines.length > 35 ) { lines.shift(); }\\n        div.text = lines.join(\\\"\\\\n\\\");\\n    \"},\"id\":\"de47f9da-ecfb-4263-9c24-e4b6e6c7b5ff\",\"type\":\"CustomJS\"}],\"root_ids\":[\"0f104f20-0976-4614-a708-edb92005a3ff\"]},\"title\":\"Bokeh Application\",\"version\":\"0.12.6\"}};\n",
       "            var render_items = [{\"docid\":\"2eb03243-78ba-4ed5-8a34-9acd650fe173\",\"elementid\":\"fbd840e1-7c62-4ca1-8f7d-456b8596a809\",\"modelid\":\"0f104f20-0976-4614-a708-edb92005a3ff\"}];\n",
       "            \n",
       "            Bokeh.embed.embed_items(docs_json, render_items);\n",
       "          };\n",
       "          if (document.readyState != \"loading\") fn();\n",
       "          else document.addEventListener(\"DOMContentLoaded\", fn);\n",
       "        })();\n",
       "      },\n",
       "      function(Bokeh) {\n",
       "      }\n",
       "    ];\n",
       "  \n",
       "    function run_inline_js() {\n",
       "      \n",
       "      if ((window.Bokeh !== undefined) || (force === true)) {\n",
       "        for (var i = 0; i < inline_js.length; i++) {\n",
       "          inline_js[i](window.Bokeh);\n",
       "        }if (force === true) {\n",
       "          display_loaded();\n",
       "        }} else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(run_inline_js, 100);\n",
       "      } else if (!window._bokeh_failed_load) {\n",
       "        console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "        window._bokeh_failed_load = true;\n",
       "      } else if (force !== true) {\n",
       "        var cell = $(document.getElementById(\"fbd840e1-7c62-4ca1-8f7d-456b8596a809\")).parents('.cell').data().cell;\n",
       "        cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "      }\n",
       "  \n",
       "    }\n",
       "  \n",
       "    if (window._bokeh_is_loading === 0) {\n",
       "      console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "      run_inline_js();\n",
       "    } else {\n",
       "      load_libs(js_urls, function() {\n",
       "        console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "        run_inline_js();\n",
       "      });\n",
       "    }\n",
       "  }(this));\n",
       "</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "# from bokeh.io import show, output_file\n",
    "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",
    "def display_event(div, attributes=[], style = 'float:left;clear:left;font_size=0.5pt'):\n",
    "    \"Build a suitable CustomJS to display the current event in the div model.\"\n",
    "    return CustomJS(args=dict(div=div), code=\"\"\"\n",
    "        var attrs = %s; var args = [];\n",
    "        for (var i=0; i<attrs.length; i++ ) {\n",
    "            args.push(attrs[i] + '=' + Number(cb_obj[attrs[i]]).toFixed(2));\n",
    "        }\n",
    "        var line = \"<span style=%r><b>\" + cb_obj.event_name + \"</b>(\" + args.join(\", \") + \")</span>\\\\n\";\n",
    "        var text = div.text.concat(line);\n",
    "        var lines = text.split(\"\\\\n\")\n",
    "        if ( lines.length > 35 ) { lines.shift(); }\n",
    "        div.text = lines.join(\"\\\\n\");\n",
    "    \"\"\" % (attributes, style))\n",
    "\n",
    "x = np.random.random(size=4000) * 100\n",
    "y = np.random.random(size=4000) * 100\n",
    "radii = np.random.random(size=4000) * 1.5\n",
    "colors = [\"#%02x%02x%02x\" % (int(r), int(g), 150) for r, g in zip(50+2*x, 30+2*y)]\n",
    "\n",
    "p = figure(tools=\"pan,wheel_zoom,zoom_in,zoom_out,reset\")\n",
    "p.scatter(x, y, radius=np.random.random(size=4000) * 1.5,\n",
    "          fill_color=colors, fill_alpha=0.6, line_color=None)\n",
    "\n",
    "div = Div(width=1000)\n",
    "button = Button(label=\"Button\", button_type=\"success\")\n",
    "layout = column(button, row(p, div))\n",
    "\n",
    "## Events with no attributes\n",
    "button.js_on_event(events.ButtonClick, display_event(div)) # Button click\n",
    "p.js_on_event(events.LODStart, display_event(div))         # Start of LOD display\n",
    "p.js_on_event(events.LODEnd, display_event(div))           # End of LOD display\n",
    "\n",
    "## Events with attributes\n",
    "point_attributes = ['x','y','sx','sy']                     # Point events\n",
    "wheel_attributes = point_attributes+['delta']              # Mouse wheel event\n",
    "pan_attributes = point_attributes + ['delta_x', 'delta_y'] # Pan event\n",
    "pinch_attributes = point_attributes + ['scale']            # Pinch event\n",
    "\n",
    "point_events =  [events.Tap, events.DoubleTap, events.Press,\n",
    "                 events.MouseMove, events.MouseEnter, events.MouseLeave,\n",
    "                 events.PanStart, events.PanEnd, events.PinchStart, events.PinchEnd]\n",
    "\n",
    "for event in point_events:\n",
    "    p.js_on_event(event,display_event(div, attributes=point_attributes))\n",
    "\n",
    "p.js_on_event(events.MouseWheel, display_event(div,attributes=wheel_attributes))\n",
    "p.js_on_event(events.Pan,        display_event(div, attributes=pan_attributes))\n",
    "p.js_on_event(events.Pinch,      display_event(div, attributes=pinch_attributes))\n",
    "\n",
    "# output_file(\"js_events.html\", title=\"JS Events Example\")\n",
    "show(layout)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from bokeh.io import output_notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "ename": "ModuleNotFoundError",
     "evalue": "No module named 'fontawesome_icon'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-2-62e857d26a48>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      3\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[0mbokeh\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmodels\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mCustomJS\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      4\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[0mbokeh\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmodels\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mwidgets\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mButton\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 5\u001b[1;33m \u001b[1;32mfrom\u001b[0m \u001b[0mfontawesome_icon\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mFontAwesomeIcon\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      6\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      7\u001b[0m btn = Button(icon=FontAwesomeIcon(icon_name=\"thumbs-o-up\", size=2),\n",
      "\u001b[1;31mModuleNotFoundError\u001b[0m: No module named 'fontawesome_icon'"
     ]
    }
   ],
   "source": [
    "from bokeh.plotting import show\n",
    "from bokeh.layouts import column\n",
    "from bokeh.models import CustomJS\n",
    "from bokeh.models.widgets import Button\n",
    "from fontawesome_icon import FontAwesomeIcon\n",
    "\n",
    "btn = Button(icon=FontAwesomeIcon(icon_name=\"thumbs-o-up\", size=2),\n",
    "             label=\"It works!\",\n",
    "             callback=CustomJS(code=\"alert('It works!');\"))\n",
    "show(column(btn))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.1"
  },
  "varInspector": {
   "cols": {
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   },
   "kernels_config": {
    "python": {
     "delete_cmd_postfix": "",
     "delete_cmd_prefix": "del ",
     "library": "var_list.py",
     "varRefreshCmd": "print(var_dic_list())"
    },
    "r": {
     "delete_cmd_postfix": ") ",
     "delete_cmd_prefix": "rm(",
     "library": "var_list.r",
     "varRefreshCmd": "cat(var_dic_list()) "
    }
   },
   "types_to_exclude": [
    "module",
    "function",
    "builtin_function_or_method",
    "instance",
    "_Feature"
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