bokeh_1.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Bokeh Tutorial\n",
    "## 1 - Providing data\n",
    "### Cristobal Donoso \n",
    "##### may 11, 2019\n",
    "<font size=\"1\">*This tutorial is based on [the official documentation](https://bokeh.pydata.org/en/latest/docs/user_guide.html\n",
    ")*</font>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can provide data for plotting in 2 ways\n",
    "- Directly: lists of values into plotting functions\n",
    "- ColumnDataSource: a mapping between column names and lists of data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Directly using Pandas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Temp</th>\n",
       "      <th>month_year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1981-01-01</td>\n",
       "      <td>20.7</td>\n",
       "      <td>1981-01-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1981-01-02</td>\n",
       "      <td>17.9</td>\n",
       "      <td>1981-01-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1981-01-03</td>\n",
       "      <td>18.8</td>\n",
       "      <td>1981-01-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1981-01-04</td>\n",
       "      <td>14.6</td>\n",
       "      <td>1981-01-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1981-01-05</td>\n",
       "      <td>15.8</td>\n",
       "      <td>1981-01-05</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Date  Temp month_year\n",
       "0  1981-01-01  20.7 1981-01-01\n",
       "1  1981-01-02  17.9 1981-01-02\n",
       "2  1981-01-03  18.8 1981-01-03\n",
       "3  1981-01-04  14.6 1981-01-04\n",
       "4  1981-01-05  15.8 1981-01-05"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('https://raw.githubusercontent.com/jbrownlee/Datasets/master/daily-min-temperatures.csv')\n",
    "df['month_year']=pd.to_datetime(df['Date'])\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <a href=\"https://bokeh.pydata.org\" target=\"_blank\" class=\"bk-logo bk-logo-small bk-logo-notebook\"></a>\n",
       "        <span id=\"1001\">Loading BokehJS ...</span>\n",
       "    </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "\n",
       "(function(root) {\n",
       "  function now() {\n",
       "    return new Date();\n",
       "  }\n",
       "\n",
       "  var force = true;\n",
       "\n",
       "  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n",
       "    root._bokeh_onload_callbacks = [];\n",
       "    root._bokeh_is_loading = undefined;\n",
       "  }\n",
       "\n",
       "  var JS_MIME_TYPE = 'application/javascript';\n",
       "  var HTML_MIME_TYPE = 'text/html';\n",
       "  var EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n",
       "  var CLASS_NAME = 'output_bokeh rendered_html';\n",
       "\n",
       "  /**\n",
       "   * Render data to the DOM node\n",
       "   */\n",
       "  function render(props, node) {\n",
       "    var script = document.createElement(\"script\");\n",
       "    node.appendChild(script);\n",
       "  }\n",
       "\n",
       "  /**\n",
       "   * Handle when an output is cleared or removed\n",
       "   */\n",
       "  function handleClearOutput(event, handle) {\n",
       "    var cell = handle.cell;\n",
       "\n",
       "    var id = cell.output_area._bokeh_element_id;\n",
       "    var server_id = cell.output_area._bokeh_server_id;\n",
       "    // Clean up Bokeh references\n",
       "    if (id != null && id in Bokeh.index) {\n",
       "      Bokeh.index[id].model.document.clear();\n",
       "      delete Bokeh.index[id];\n",
       "    }\n",
       "\n",
       "    if (server_id !== undefined) {\n",
       "      // Clean up Bokeh references\n",
       "      var cmd = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n",
       "      cell.notebook.kernel.execute(cmd, {\n",
       "        iopub: {\n",
       "          output: function(msg) {\n",
       "            var id = msg.content.text.trim();\n",
       "            if (id in Bokeh.index) {\n",
       "              Bokeh.index[id].model.document.clear();\n",
       "              delete Bokeh.index[id];\n",
       "            }\n",
       "          }\n",
       "        }\n",
       "      });\n",
       "      // Destroy server and session\n",
       "      var cmd = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n",
       "      cell.notebook.kernel.execute(cmd);\n",
       "    }\n",
       "  }\n",
       "\n",
       "  /**\n",
       "   * Handle when a new output is added\n",
       "   */\n",
       "  function handleAddOutput(event, handle) {\n",
       "    var output_area = handle.output_area;\n",
       "    var output = handle.output;\n",
       "\n",
       "    // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n",
       "    if ((output.output_type != \"display_data\") || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n",
       "      return\n",
       "    }\n",
       "\n",
       "    var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
       "\n",
       "    if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n",
       "      toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n",
       "      // store reference to embed id on output_area\n",
       "      output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
       "    }\n",
       "    if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
       "      var bk_div = document.createElement(\"div\");\n",
       "      bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
       "      var script_attrs = bk_div.children[0].attributes;\n",
       "      for (var i = 0; i < script_attrs.length; i++) {\n",
       "        toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
       "      }\n",
       "      // store reference to server id on output_area\n",
       "      output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
       "    }\n",
       "  }\n",
       "\n",
       "  function register_renderer(events, OutputArea) {\n",
       "\n",
       "    function append_mime(data, metadata, element) {\n",
       "      // create a DOM node to render to\n",
       "      var toinsert = this.create_output_subarea(\n",
       "        metadata,\n",
       "        CLASS_NAME,\n",
       "        EXEC_MIME_TYPE\n",
       "      );\n",
       "      this.keyboard_manager.register_events(toinsert);\n",
       "      // Render to node\n",
       "      var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
       "      render(props, toinsert[toinsert.length - 1]);\n",
       "      element.append(toinsert);\n",
       "      return toinsert\n",
       "    }\n",
       "\n",
       "    /* Handle when an output is cleared or removed */\n",
       "    events.on('clear_output.CodeCell', handleClearOutput);\n",
       "    events.on('delete.Cell', handleClearOutput);\n",
       "\n",
       "    /* Handle when a new output is added */\n",
       "    events.on('output_added.OutputArea', handleAddOutput);\n",
       "\n",
       "    /**\n",
       "     * Register the mime type and append_mime function with output_area\n",
       "     */\n",
       "    OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
       "      /* Is output safe? */\n",
       "      safe: true,\n",
       "      /* Index of renderer in `output_area.display_order` */\n",
       "      index: 0\n",
       "    });\n",
       "  }\n",
       "\n",
       "  // register the mime type if in Jupyter Notebook environment and previously unregistered\n",
       "  if (root.Jupyter !== undefined) {\n",
       "    var events = require('base/js/events');\n",
       "    var OutputArea = require('notebook/js/outputarea').OutputArea;\n",
       "\n",
       "    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
       "      register_renderer(events, OutputArea);\n",
       "    }\n",
       "  }\n",
       "\n",
       "  \n",
       "  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "    root._bokeh_timeout = Date.now() + 5000;\n",
       "    root._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",
       "    var el = document.getElementById(\"1001\");\n",
       "    if (el != null) {\n",
       "      el.textContent = \"BokehJS is loading...\";\n",
       "    }\n",
       "    if (root.Bokeh !== undefined) {\n",
       "      if (el != null) {\n",
       "        el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n",
       "      }\n",
       "    } else if (Date.now() < root._bokeh_timeout) {\n",
       "      setTimeout(display_loaded, 100)\n",
       "    }\n",
       "  }\n",
       "\n",
       "\n",
       "  function run_callbacks() {\n",
       "    try {\n",
       "      root._bokeh_onload_callbacks.forEach(function(callback) {\n",
       "        if (callback != null)\n",
       "          callback();\n",
       "      });\n",
       "    } finally {\n",
       "      delete root._bokeh_onload_callbacks\n",
       "    }\n",
       "    console.debug(\"Bokeh: all callbacks have finished\");\n",
       "  }\n",
       "\n",
       "  function load_libs(css_urls, js_urls, callback) {\n",
       "    if (css_urls == null) css_urls = [];\n",
       "    if (js_urls == null) js_urls = [];\n",
       "\n",
       "    root._bokeh_onload_callbacks.push(callback);\n",
       "    if (root._bokeh_is_loading > 0) {\n",
       "      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
       "      return null;\n",
       "    }\n",
       "    if (js_urls == null || js_urls.length === 0) {\n",
       "      run_callbacks();\n",
       "      return null;\n",
       "    }\n",
       "    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
       "    root._bokeh_is_loading = css_urls.length + js_urls.length;\n",
       "\n",
       "    function on_load() {\n",
       "      root._bokeh_is_loading--;\n",
       "      if (root._bokeh_is_loading === 0) {\n",
       "        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n",
       "        run_callbacks()\n",
       "      }\n",
       "    }\n",
       "\n",
       "    function on_error() {\n",
       "      console.error(\"failed to load \" + url);\n",
       "    }\n",
       "\n",
       "    for (var i = 0; i < css_urls.length; i++) {\n",
       "      var url = css_urls[i];\n",
       "      const element = document.createElement(\"link\");\n",
       "      element.onload = on_load;\n",
       "      element.onerror = on_error;\n",
       "      element.rel = \"stylesheet\";\n",
       "      element.type = \"text/css\";\n",
       "      element.href = url;\n",
       "      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n",
       "      document.body.appendChild(element);\n",
       "    }\n",
       "\n",
       "    for (var i = 0; i < js_urls.length; i++) {\n",
       "      var url = js_urls[i];\n",
       "      var element = document.createElement('script');\n",
       "      element.onload = on_load;\n",
       "      element.onerror = on_error;\n",
       "      element.async = false;\n",
       "      element.src = url;\n",
       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "      document.head.appendChild(element);\n",
       "    }\n",
       "  };var element = document.getElementById(\"1001\");\n",
       "  if (element == null) {\n",
       "    console.error(\"Bokeh: ERROR: autoload.js configured with elementid '1001' but no matching script tag was found. \")\n",
       "    return false;\n",
       "  }\n",
       "\n",
       "  function inject_raw_css(css) {\n",
       "    const element = document.createElement(\"style\");\n",
       "    element.appendChild(document.createTextNode(css));\n",
       "    document.body.appendChild(element);\n",
       "  }\n",
       "\n",
       "  var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-1.2.0.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-1.2.0.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-tables-1.2.0.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-gl-1.2.0.min.js\"];\n",
       "  var css_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-1.2.0.min.css\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-1.2.0.min.css\", \"https://cdn.pydata.org/bokeh/release/bokeh-tables-1.2.0.min.css\"];\n",
       "\n",
       "  var inline_js = [\n",
       "    function(Bokeh) {\n",
       "      Bokeh.set_log_level(\"info\");\n",
       "    },\n",
       "    \n",
       "    function(Bokeh) {\n",
       "      \n",
       "    },\n",
       "    function(Bokeh) {} // ensure no trailing comma for IE\n",
       "  ];\n",
       "\n",
       "  function run_inline_js() {\n",
       "    \n",
       "    if ((root.Bokeh !== undefined) || (force === true)) {\n",
       "      for (var i = 0; i < inline_js.length; i++) {\n",
       "        inline_js[i].call(root, root.Bokeh);\n",
       "      }if (force === true) {\n",
       "        display_loaded();\n",
       "      }} else if (Date.now() < root._bokeh_timeout) {\n",
       "      setTimeout(run_inline_js, 100);\n",
       "    } else if (!root._bokeh_failed_load) {\n",
       "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "      root._bokeh_failed_load = true;\n",
       "    } else if (force !== true) {\n",
       "      var cell = $(document.getElementById(\"1001\")).parents('.cell').data().cell;\n",
       "      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "    }\n",
       "\n",
       "  }\n",
       "\n",
       "  if (root._bokeh_is_loading === 0) {\n",
       "    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "    run_inline_js();\n",
       "  } else {\n",
       "    load_libs(css_urls, js_urls, function() {\n",
       "      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "      run_inline_js();\n",
       "    });\n",
       "  }\n",
       "}(window));"
      ],
      "application/vnd.bokehjs_load.v0+json": "\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n  \n\n  \n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._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    var el = document.getElementById(\"1001\");\n    if (el != null) {\n      el.textContent = \"BokehJS is loading...\";\n    }\n    if (root.Bokeh !== undefined) {\n      if (el != null) {\n        el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(display_loaded, 100)\n    }\n  }\n\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error() {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (var i = 0; i < css_urls.length; i++) {\n      var url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };var element = document.getElementById(\"1001\");\n  if (element == null) {\n    console.error(\"Bokeh: ERROR: autoload.js configured with elementid '1001' but no matching script tag was found. \")\n    return false;\n  }\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-1.2.0.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-1.2.0.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-tables-1.2.0.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-gl-1.2.0.min.js\"];\n  var css_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-1.2.0.min.css\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-1.2.0.min.css\", \"https://cdn.pydata.org/bokeh/release/bokeh-tables-1.2.0.min.css\"];\n\n  var inline_js = [\n    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\n    \n    function(Bokeh) {\n      \n    },\n    function(Bokeh) {} // ensure no trailing comma for IE\n  ];\n\n  function run_inline_js() {\n    \n    if ((root.Bokeh !== undefined) || (force === true)) {\n      for (var i = 0; i < inline_js.length; i++) {\n        inline_js[i].call(root, root.Bokeh);\n      }if (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      var cell = $(document.getElementById(\"1001\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from bokeh.plotting import figure \n",
    "from bokeh.io import output_notebook, show\n",
    "output_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "from bokeh.models import DatetimeTickFormatter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"294024e1-bcdd-445f-a71e-ad633f92fd79\" data-root-id=\"1002\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  var docs_json = 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Application\",\"version\":\"1.2.0\"}};\n",
       "  var render_items = [{\"docid\":\"57f3fb8c-d5e2-4216-8acb-3fb19aaaf65f\",\"roots\":{\"1002\":\"294024e1-bcdd-445f-a71e-ad633f92fd79\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        embed_document(root);\n",
       "        clearInterval(timer);\n",
       "      }\n",
       "      attempts++;\n",
       "      if (attempts > 100) {\n",
       "        console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        clearInterval(timer);\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "1002"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p = figure(plot_width=300, plot_height=200, x_axis_label='Month-Year', y_axis_label='Temperature', \n",
    "          x_axis_type='datetime')\n",
    "p.line(df['month_year'], df['Temp'])\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Using ColumnDataSource\n",
    "ColumnDataSource defines a structure of data that can be used by multipliples plots and widgets, such as the [DataTable](https://bokeh.pydata.org/en/latest/docs/reference/models/widgets.tables.html#bokeh.models.widgets.tables.DataTable).\n",
    "\n",
    "A ColumnDataSource is composed by the use of \n",
    "- a dictonary where the key presents the column name.\n",
    "- a pandas dataframe "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "from bokeh.models import ColumnDataSource\n",
    "from bokeh.layouts import Row"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = {'x': df['month_year'], 'y': df['Temp']}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"908f3754-8b3e-4e84-97c9-588e6ab0a186\" data-root-id=\"3642\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  var docs_json = 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:\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"3638\",\"type\":\"Scatter\"},{\"attributes\":{\"callback\":null},\"id\":\"3605\",\"type\":\"DataRange1d\"},{\"attributes\":{\"callback\":null},\"id\":\"3607\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"3609\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"3611\",\"type\":\"LinearScale\"},{\"attributes\":{\"axis_label\":\"Month-Year\",\"formatter\":{\"id\":\"3866\",\"type\":\"DatetimeTickFormatter\"},\"ticker\":{\"id\":\"3614\",\"type\":\"DatetimeTicker\"}},\"id\":\"3613\",\"type\":\"DatetimeAxis\"},{\"attributes\":{\"num_minor_ticks\":5,\"tickers\":[{\"id\":\"3882\",\"type\":\"AdaptiveTicker\"},{\"id\":\"3883\",\"type\":\"AdaptiveTicker\"},{\"id\":\"3884\",\"type\":\"AdaptiveTicker\"},{\"id\":\"3885\",\"type\":\"DaysTicker\"},{\"id\":\"3886\",\"type\":\"DaysTicker\"},{\"id\":\"3887\",\"type\":\"DaysTicker\"},{\"id\":\"3888\",\"type\":\"DaysTicker\"},{\"id\":\"3889\",\"type\":\"MonthsTicker\"},{\"id\":\"3890\",\"type\":\"MonthsTicker\"},{\"id\":\"3891\",\"type\":\"MonthsTicker\"},{\"id\":\"3892\",\"type\":\"MonthsTicker\"},{\"id\":\"3893\",\"type\":\"YearsTicker\"}]},\"id\":\"3614\",\"type\":\"DatetimeTicker\"},{\"attributes\":{\"ticker\":{\"id\":\"3614\",\"type\":\"DatetimeTicker\"}},\"id\":\"3617\",\"type\":\"Grid\"},{\"attributes\":{\"axis_label\":\"Temperature\",\"formatter\":{\"id\":\"3864\",\"type\":\"BasicTickFormatter\"},\"ticker\":{\"id\":\"3619\",\"type\":\"BasicTicker\"}},\"id\":\"3618\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"3619\",\"type\":\"BasicTicker\"},{\"attributes\":{\"dimension\":1,\"ticker\":{\"id\":\"3619\",\"type\":\"BasicTicker\"}},\"id\":\"3622\",\"type\":\"Grid\"},{\"attributes\":{\"mantissas\":[1,2,5],\"max_interval\":500.0,\"num_minor_ticks\":0},\"id\":\"3867\",\"type\":\"AdaptiveTicker\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"3639\",\"type\":\"Scatter\"},{\"attributes\":{},\"id\":\"3623\",\"type\":\"PanTool\"},{\"attributes\":{},\"id\":\"3624\",\"type\":\"WheelZoomTool\"},{\"attributes\":{\"overlay\":{\"id\":\"3896\",\"type\":\"BoxAnnotation\"}},\"id\":\"3625\",\"type\":\"BoxZoomTool\"},{\"attributes\":{},\"id\":\"3626\",\"type\":\"SaveTool\"},{\"attributes\":{},\"id\":\"3627\",\"type\":\"ResetTool\"},{\"attributes\":{},\"id\":\"3628\",\"type\":\"HelpTool\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_multi\":null,\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"3623\",\"type\":\"PanTool\"},{\"id\":\"3624\",\"type\":\"WheelZoomTool\"},{\"id\":\"3625\",\"type\":\"BoxZoomTool\"},{\"id\":\"3626\",\"type\":\"SaveTool\"},{\"id\":\"3627\",\"type\":\"ResetTool\"},{\"id\":\"3628\",\"type\":\"HelpTool\"}]},\"id\":\"3629\",\"type\":\"Toolbar\"},{\"attributes\":{\"data_source\":{\"id\":\"3636\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"3638\",\"type\":\"Scatter\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"3639\",\"type\":\"Scatter\"},\"selection_glyph\":null,\"view\":{\"id\":\"3641\",\"type\":\"CDSView\"}},\"id\":\"3640\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"source\":{\"id\":\"3636\",\"type\":\"ColumnDataSource\"}},\"id\":\"3641\",\"type\":\"CDSView\"},{\"attributes\":{\"text\":\"\"},\"id\":\"3856\",\"type\":\"Title\"},{\"attributes\":{\"text\":\"\"},\"id\":\"3858\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"3860\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"3862\",\"type\":\"DatetimeTickFormatter\"},{\"attributes\":{},\"id\":\"3864\",\"type\":\"BasicTickFormatter\"}],\"root_ids\":[\"3642\"]},\"title\":\"Bokeh Application\",\"version\":\"1.2.0\"}};\n",
       "  var render_items = [{\"docid\":\"23da4ccb-00b4-48c8-aa8a-4cd46efef46f\",\"roots\":{\"3642\":\"908f3754-8b3e-4e84-97c9-588e6ab0a186\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        embed_document(root);\n",
       "        clearInterval(timer);\n",
       "      }\n",
       "      attempts++;\n",
       "      if (attempts > 100) {\n",
       "        console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        clearInterval(timer);\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "3642"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p = figure(plot_width=300, plot_height=200, x_axis_label='Month-Year', y_axis_label='Temperature', \n",
    "          x_axis_type='datetime')\n",
    "p.line('x', 'y', source=data)\n",
    "\n",
    "q = figure(plot_width=300, plot_height=200, x_axis_label='Month-Year', y_axis_label='Temperature', \n",
    "          x_axis_type='datetime')\n",
    "q.scatter('x', 'y', source=data)\n",
    "show(Row(p, q))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Sending data in streaming "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Using the ```.stream()``` method we can efficiently append new data to the ColumnDataSource without update the complete dataset. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "source = ColumnDataSource(data=dict(foo=[], bar=[]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "# has new, identical-length updates for all columns in source\n",
    "new_data = {\n",
    "    'foo' : range(0, 50),\n",
    "    'bar' : range(50, 100),\n",
    "}\n",
    "\n",
    "source.stream(new_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "from bokeh.models import DataTable, TableColumn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"a8e0d906-11d4-42a0-9a53-2177dedd17a0\" data-root-id=\"8207\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  var docs_json = {\"ce1e2f1b-00f1-4233-b301-6623fd8458f8\":{\"roots\":{\"references\":[{\"attributes\":{\"children\":[{\"id\":\"8166\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"id\":\"8205\",\"type\":\"DataTable\"}]},\"id\":\"8207\",\"type\":\"Row\"},{\"attributes\":{\"below\":[{\"id\":\"8175\",\"type\":\"DatetimeAxis\"}],\"center\":[{\"id\":\"8179\",\"type\":\"Grid\"},{\"id\":\"8184\",\"type\":\"Grid\"}],\"left\":[{\"id\":\"8180\",\"type\":\"LinearAxis\"}],\"plot_height\":200,\"plot_width\":300,\"renderers\":[{\"id\":\"8201\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"8567\",\"type\":\"Title\"},\"toolbar\":{\"id\":\"8191\",\"type\":\"Toolbar\"},\"x_range\":{\"id\":\"8167\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"8171\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"8169\",\"type\":\"DataRange1d\"},\"y_scale\":{\"id\":\"8173\",\"type\":\"LinearScale\"}},\"id\":\"8166\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"source\":{\"id\":\"8165\",\"type\":\"ColumnDataSource\"}},\"id\":\"8206\",\"type\":\"CDSView\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_multi\":null,\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"8185\",\"type\":\"PanTool\"},{\"id\":\"8186\",\"type\":\"WheelZoomTool\"},{\"id\":\"8187\",\"type\":\"BoxZoomTool\"},{\"id\":\"8188\",\"type\":\"SaveTool\"},{\"id\":\"8189\",\"type\":\"ResetTool\"},{\"id\":\"8190\",\"type\":\"HelpTool\"}]},\"id\":\"8191\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"8569\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"days\":[1,15]},\"id\":\"8584\",\"type\":\"DaysTicker\"},{\"attributes\":{\"data_source\":{\"id\":\"8165\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"8199\",\"type\":\"Scatter\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"8200\",\"type\":\"Scatter\"},\"selection_glyph\":null,\"view\":{\"id\":\"8202\",\"type\":\"CDSView\"}},\"id\":\"8201\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"ticker\":{\"id\":\"8176\",\"type\":\"DatetimeTicker\"}},\"id\":\"8179\",\"type\":\"Grid\"},{\"attributes\":{\"editor\":{\"id\":\"8577\",\"type\":\"StringEditor\"},\"field\":\"bar\",\"formatter\":{\"id\":\"8576\",\"type\":\"StringFormatter\"},\"title\":\"bar\"},\"id\":\"8204\",\"type\":\"TableColumn\"},{\"attributes\":{\"callback\":null},\"id\":\"8167\",\"type\":\"DataRange1d\"},{\"attributes\":{\"dimension\":1,\"ticker\":{\"id\":\"8181\",\"type\":\"BasicTicker\"}},\"id\":\"8184\",\"type\":\"Grid\"},{\"attributes\":{\"months\":[0,6]},\"id\":\"8588\",\"type\":\"MonthsTicker\"},{\"attributes\":{},\"id\":\"8181\",\"type\":\"BasicTicker\"},{\"attributes\":{\"months\":[0,1,2,3,4,5,6,7,8,9,10,11]},\"id\":\"8585\",\"type\":\"MonthsTicker\"},{\"attributes\":{},\"id\":\"8589\",\"type\":\"YearsTicker\"},{\"attributes\":{\"bottom_units\":\"screen\",\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"value\":\"lightgrey\"},\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":{\"value\":1.0},\"line_color\":{\"value\":\"black\"},\"line_dash\":[4,4],\"line_width\":{\"value\":2},\"render_mode\":\"css\",\"right_units\":\"screen\",\"top_units\":\"screen\"},\"id\":\"8590\",\"type\":\"BoxAnnotation\"},{\"attributes\":{\"base\":24,\"mantissas\":[1,2,4,6,8,12],\"max_interval\":43200000.0,\"min_interval\":3600000.0,\"num_minor_ticks\":0},\"id\":\"8580\",\"type\":\"AdaptiveTicker\"},{\"attributes\":{\"overlay\":{\"id\":\"8590\",\"type\":\"BoxAnnotation\"}},\"id\":\"8187\",\"type\":\"BoxZoomTool\"},{\"attributes\":{},\"id\":\"8186\",\"type\":\"WheelZoomTool\"},{\"attributes\":{},\"id\":\"8188\",\"type\":\"SaveTool\"},{\"attributes\":{\"months\":[0,2,4,6,8,10]},\"id\":\"8586\",\"type\":\"MonthsTicker\"},{\"attributes\":{},\"id\":\"8575\",\"type\":\"StringEditor\"},{\"attributes\":{},\"id\":\"8190\",\"type\":\"HelpTool\"},{\"attributes\":{\"months\":[0,4,8]},\"id\":\"8587\",\"type\":\"MonthsTicker\"},{\"attributes\":{\"axis_label\":\"Month-Year\",\"formatter\":{\"id\":\"8571\",\"type\":\"DatetimeTickFormatter\"},\"ticker\":{\"id\":\"8176\",\"type\":\"DatetimeTicker\"}},\"id\":\"8175\",\"type\":\"DatetimeAxis\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"x\":{\"field\":\"foo\"},\"y\":{\"field\":\"bar\"}},\"id\":\"8200\",\"type\":\"Scatter\"},{\"attributes\":{},\"id\":\"8173\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"8577\",\"type\":\"StringEditor\"},{\"attributes\":{\"num_minor_ticks\":5,\"tickers\":[{\"id\":\"8578\",\"type\":\"AdaptiveTicker\"},{\"id\":\"8579\",\"type\":\"AdaptiveTicker\"},{\"id\":\"8580\",\"type\":\"AdaptiveTicker\"},{\"id\":\"8581\",\"type\":\"DaysTicker\"},{\"id\":\"8582\",\"type\":\"DaysTicker\"},{\"id\":\"8583\",\"type\":\"DaysTicker\"},{\"id\":\"8584\",\"type\":\"DaysTicker\"},{\"id\":\"8585\",\"type\":\"MonthsTicker\"},{\"id\":\"8586\",\"type\":\"MonthsTicker\"},{\"id\":\"8587\",\"type\":\"MonthsTicker\"},{\"id\":\"8588\",\"type\":\"MonthsTicker\"},{\"id\":\"8589\",\"type\":\"YearsTicker\"}]},\"id\":\"8176\",\"type\":\"DatetimeTicker\"},{\"attributes\":{},\"id\":\"8189\",\"type\":\"ResetTool\"},{\"attributes\":{},\"id\":\"8185\",\"type\":\"PanTool\"},{\"attributes\":{},\"id\":\"8571\",\"type\":\"DatetimeTickFormatter\"},{\"attributes\":{\"text\":\"\"},\"id\":\"8567\",\"type\":\"Title\"},{\"attributes\":{\"days\":[1,4,7,10,13,16,19,22,25,28]},\"id\":\"8582\",\"type\":\"DaysTicker\"},{\"attributes\":{},\"id\":\"8572\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"source\":{\"id\":\"8165\",\"type\":\"ColumnDataSource\"}},\"id\":\"8202\",\"type\":\"CDSView\"},{\"attributes\":{},\"id\":\"8574\",\"type\":\"StringFormatter\"},{\"attributes\":{\"mantissas\":[1,2,5],\"max_interval\":500.0,\"num_minor_ticks\":0},\"id\":\"8578\",\"type\":\"AdaptiveTicker\"},{\"attributes\":{\"callback\":null,\"data\":{\"bar\":[50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99],\"foo\":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49]},\"selected\":{\"id\":\"8573\",\"type\":\"Selection\"},\"selection_policy\":{\"id\":\"8572\",\"type\":\"UnionRenderers\"}},\"id\":\"8165\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"columns\":[{\"id\":\"8203\",\"type\":\"TableColumn\"},{\"id\":\"8204\",\"type\":\"TableColumn\"}],\"editable\":true,\"height\":130,\"source\":{\"id\":\"8165\",\"type\":\"ColumnDataSource\"},\"view\":{\"id\":\"8206\",\"type\":\"CDSView\"},\"width\":230},\"id\":\"8205\",\"type\":\"DataTable\"},{\"attributes\":{},\"id\":\"8573\",\"type\":\"Selection\"},{\"attributes\":{\"base\":60,\"mantissas\":[1,2,5,10,15,20,30],\"max_interval\":1800000.0,\"min_interval\":1000.0,\"num_minor_ticks\":0},\"id\":\"8579\",\"type\":\"AdaptiveTicker\"},{\"attributes\":{\"fill_color\":{\"value\":\"#1f77b4\"},\"line_color\":{\"value\":\"#1f77b4\"},\"x\":{\"field\":\"foo\"},\"y\":{\"field\":\"bar\"}},\"id\":\"8199\",\"type\":\"Scatter\"},{\"attributes\":{\"axis_label\":\"Temperature\",\"formatter\":{\"id\":\"8569\",\"type\":\"BasicTickFormatter\"},\"ticker\":{\"id\":\"8181\",\"type\":\"BasicTicker\"}},\"id\":\"8180\",\"type\":\"LinearAxis\"},{\"attributes\":{\"editor\":{\"id\":\"8575\",\"type\":\"StringEditor\"},\"field\":\"foo\",\"formatter\":{\"id\":\"8574\",\"type\":\"StringFormatter\"},\"title\":\"foo\"},\"id\":\"8203\",\"type\":\"TableColumn\"},{\"attributes\":{\"days\":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31]},\"id\":\"8581\",\"type\":\"DaysTicker\"},{\"attributes\":{\"callback\":null},\"id\":\"8169\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"8576\",\"type\":\"StringFormatter\"},{\"attributes\":{},\"id\":\"8171\",\"type\":\"LinearScale\"},{\"attributes\":{\"days\":[1,8,15,22]},\"id\":\"8583\",\"type\":\"DaysTicker\"}],\"root_ids\":[\"8207\"]},\"title\":\"Bokeh Application\",\"version\":\"1.2.0\"}};\n",
       "  var render_items = [{\"docid\":\"ce1e2f1b-00f1-4233-b301-6623fd8458f8\",\"roots\":{\"8207\":\"a8e0d906-11d4-42a0-9a53-2177dedd17a0\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        embed_document(root);\n",
       "        clearInterval(timer);\n",
       "      }\n",
       "      attempts++;\n",
       "      if (attempts > 100) {\n",
       "        console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        clearInterval(timer);\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "8207"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Creating a scatter plot\n",
    "p = figure(plot_width=300, plot_height=200, x_axis_label='Month-Year', y_axis_label='Temperature', \n",
    "          x_axis_type='datetime')\n",
    "p.scatter('foo', 'bar', source=source)\n",
    "\n",
    "# Creating a Table \n",
    "columns = [TableColumn(field=k, title=k) for k in new_data.keys()]\n",
    "data_table = DataTable(source=source, columns=columns, \n",
    "                                    width=230, height=130, editable=True)\n",
    "show(Row(p, data_table))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can also update slices of data, transform/filter them, change the marker visualization of the scatter points and much more. [Read more](https://bokeh.pydata.org/en/latest/docs/user_guide/data.html#userguide-data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'AjaxDataSource' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-49-39e189de113c>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m source = AjaxDataSource(data_url='http://some.api.com/data',\n\u001b[0m\u001b[1;32m      2\u001b[0m                         polling_interval=100)\n\u001b[1;32m      3\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0;31m# Use just like a ColumnDataSource\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0mp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcircle\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'x'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'y'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msource\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msource\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mNameError\u001b[0m: name 'AjaxDataSource' is not defined"
     ]
    }
   ],
   "source": [
    "source = AjaxDataSource(data_url='http://some.api.com/data',\n",
    "                        polling_interval=100)\n",
    "\n",
    "# Use just like a ColumnDataSource\n",
    "p.circle('x', 'y', source=source)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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