Bokeh/00 - Introduction and Setup.ipynb

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    "<table style=\"float:left; border:none\">\n",
    "   <tr style=\"border:none\">\n",
    "       <td style=\"border:none\">\n",
    "           <a href=\"https://bokeh.org/\">     \n",
    "           <img \n",
    "               src=\"assets/bokeh-transparent.png\" \n",
    "               style=\"width:50px\"\n",
    "           >\n",
    "           </a>    \n",
    "       </td>\n",
    "       <td style=\"border:none\">\n",
    "           <h1>Bokeh Tutorial</h1>\n",
    "       </td>\n",
    "   </tr>\n",
    "</table>\n",
    "<div style=\"float:right;\"><h2>00. Introduction and Setup</h2></div>"
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    "# Tutorial Overview\n",
    "\n",
    "The tutorial is broken into several sections, which are each presented in their own notebook:\n",
    "\n",
    "1.  [Basic Plotting](01%20-%20Basic%20Plotting.ipynb)\n",
    "2.  [Styling and Theming](02%20-%20Styling%20and%20Theming.ipynb)\n",
    "3.  [Data Sources and Transformations](03%20-%20Data%20Sources%20and%20Transformations.ipynb)\n",
    "4.  [Adding Annotations](04%20-%20Adding%20Annotations.ipynb)\n",
    "5.  [Presentation and Layouts](05%20-%20Presentation%20Layouts.ipynb)\n",
    "6.  [Linking and Interactions](06%20-%20Linking%20and%20Interactions.ipynb)\n",
    "7.  [Bar and Categorical Data Plots](07%20-%20Bar%20and%20Categorical%20Data%20Plots.ipynb)\n",
    "8.  [Graph and Network Plots](08%20-%20Graph%20and%20Network%20Plots.ipynb)\n",
    "9.  [Geographic Plots](09%20-%20Geographic%20Plots.ipynb)\n",
    "10. [Exporting and Embedding](10%20-%20Exporting%20and%20Embedding.ipynb)\n",
    "11. [Running Bokeh Applications](11%20-%20Running%20Bokeh%20Applications.ipynb)\n",
    "\n",
    "As well as some extra topic appendices:\n",
    "\n",
    "A1. [Models and Primitives](A1%20-%20Models%20and%20Primitives.ipynb)<br />\n",
    "A2. [Visualizing Big Data with Datashader](A2%20-%20Visualizing%20Big%20Data%20with%20Datashader.ipynb)<br />\n",
    "A3. [High-Level Charting with Holoviews](A3%20-%20High-Level%20Charting%20with%20Holoviews.ipynb)<br />\n",
    "A4. [Additional Resources](A4%20-%20Additional%20Resources.ipynb)"
   ]
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   "source": [
    "## What is Bokeh\n",
    "\n",
    "Bokeh is an interactive visualization library that targets modern web browsers for presentation. It is good for:\n",
    "\n",
    "* Interactive visualization in modern browsers\n",
    "* Standalone HTML documents, or server-backed apps\n",
    "* Expressive and versatile graphics\n",
    "* Large, dynamic or streaming data\n",
    "* Easy usage from python (or Scala, or R, or...)\n",
    "\n",
    "And most importantly:\n",
    "\n",
    "## <center><i>NO JAVASCRIPT REQUIRED</i></center>\n",
    "\n",
    "Bokeh is an interactive visualization library for modern web browsers. It provides elegant, concise construction of versatile graphics, and affords high-performance interactivity over large or streaming datasets. Bokeh can help anyone who would like to quickly and easily make interactive plots, dashboards, and data applications."
   ]
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   "source": [
    "## What can I *do* with Bokeh"
   ]
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      ],
      "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  \n  var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-1.4.0.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-1.4.0.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-tables-1.4.0.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-gl-1.4.0.min.js\"];\n  var css_urls = [];\n  \n\n  var inline_js = [\n    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\n    function(Bokeh) {\n    \n    \n    }\n  ];\n\n  function run_inline_js() {\n    \n    if (root.Bokeh !== undefined || force === true) {\n      \n    for (var i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\n    if (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      var cell = $(document.getElementById(\"1001\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Standard imports \n",
    "\n",
    "from bokeh.io import output_notebook, show\n",
    "output_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "Collapsed": "false"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"5a518e86-c9e1-41f3-9b37-46db8bd9c85a\" data-root-id=\"1003\"></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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MPG by # Cylinders and Manufacturer\"},\"id\":\"1004\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"1019\",\"type\":\"BasicTicker\"},{\"attributes\":{\"grid_line_color\":null,\"ticker\":{\"id\":\"1015\",\"type\":\"CategoricalTicker\"}},\"id\":\"1017\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"1034\",\"type\":\"CategoricalTickFormatter\"},{\"attributes\":{\"axis_label\":\"Manufacturer grouped by # Cylinders\",\"formatter\":{\"id\":\"1034\",\"type\":\"CategoricalTickFormatter\"},\"major_label_orientation\":1.2,\"ticker\":{\"id\":\"1015\",\"type\":\"CategoricalTicker\"}},\"id\":\"1014\",\"type\":\"CategoricalAxis\"},{\"attributes\":{},\"id\":\"1038\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"callback\":null,\"tooltips\":[[\"MPG\",\"@mpg_mean\"],[\"Cyl, Mfr\",\"@cyl_mfr\"]]},\"id\":\"1031\",\"type\":\"HoverTool\"},{\"attributes\":{},\"id\":\"1015\",\"type\":\"CategoricalTicker\"},{\"attributes\":{\"formatter\":{\"id\":\"1036\",\"type\":\"BasicTickFormatter\"},\"ticker\":{\"id\":\"1019\",\"type\":\"BasicTicker\"}},\"id\":\"1018\",\"type\":\"LinearAxis\"}],\"root_ids\":[\"1003\"]},\"title\":\"Bokeh Application\",\"version\":\"1.4.0\"}};\n",
       "  var render_items = [{\"docid\":\"61d0dbf7-e059-47d6-86c9-bf7ecd3c32a2\",\"roots\":{\"1003\":\"5a518e86-c9e1-41f3-9b37-46db8bd9c85a\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else {\n",
       "        attempts++;\n",
       "        if (attempts > 100) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "1003"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot a complex chart with interactive hover in a few lines of code\n",
    "\n",
    "from bokeh.models import ColumnDataSource, HoverTool\n",
    "from bokeh.plotting import figure\n",
    "from bokeh.sampledata.autompg import autompg_clean as df\n",
    "from bokeh.transform import factor_cmap\n",
    "\n",
    "df.cyl = df.cyl.astype(str)\n",
    "df.yr = df.yr.astype(str)\n",
    "\n",
    "group = df.groupby(by=['cyl', 'mfr'])\n",
    "source = ColumnDataSource(group)\n",
    "\n",
    "p = figure(plot_width=800, plot_height=300, title=\"Mean MPG by # Cylinders and Manufacturer\",\n",
    "           x_range=group, toolbar_location=None, tools=\"\")\n",
    "\n",
    "p.xgrid.grid_line_color = None\n",
    "p.xaxis.axis_label = \"Manufacturer grouped by # Cylinders\"\n",
    "p.xaxis.major_label_orientation = 1.2\n",
    "\n",
    "index_cmap = factor_cmap('cyl_mfr', palette=['#2b83ba', '#abdda4', '#ffffbf', '#fdae61', '#d7191c'], \n",
    "                         factors=sorted(df.cyl.unique()), end=1)\n",
    "\n",
    "p.vbar(x='cyl_mfr', top='mpg_mean', width=1, source=source,\n",
    "       line_color=\"white\", fill_color=index_cmap, \n",
    "       hover_line_color=\"darkgrey\", hover_fill_color=index_cmap)\n",
    "\n",
    "p.add_tools(HoverTool(tooltips=[(\"MPG\", \"@mpg_mean\"), (\"Cyl, Mfr\", \"@cyl_mfr\")]))\n",
    "\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "Collapsed": "false"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "        <iframe\n",
       "            width=\"900\"\n",
       "            height=\"500\"\n",
       "            src=\"https://demo.bokeh.org/sliders\"\n",
       "            frameborder=\"0\"\n",
       "            allowfullscreen\n",
       "        ></iframe>\n",
       "        "
      ],
      "text/plain": [
       "<IPython.lib.display.IFrame at 0x7fe356af49d0>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create and deploy interactive data applications\n",
    "\n",
    "from IPython.display import IFrame\n",
    "IFrame('https://demo.bokeh.org/sliders', width=900, height=500)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "Collapsed": "false"
   },
   "source": [
    "# Getting set up"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "Collapsed": "false"
   },
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "## Clone or download the repo\n",
       "First get local copies of the tutorial notebooks:\n",
       "\n",
       "```\n",
       "$ git clone https://github.com/bokeh/bokeh-notebooks.git\n",
       "```\n",
       "\n",
       "Or download from: https://github.com/bokeh/bokeh-notebooks/archive/master.zip\n",
       "\n",
       "## Install the dependencies\n",
       "\n",
       "This tutorial has been tested on:\n",
       "\n",
       "* bokeh 1.4.0\n",
       "* pandas 0.25.2\n",
       "* notebook 6.0.1\n",
       "* phantomjs 2.1.1\n",
       "* pillow 6.1.0\n",
       "* selenium 3.8.0\n",
       "\n",
       "Other combinations may work also.\n",
       "\n",
       "The quickest, easiest way to install is to use Anaconda (or Miniconda):\n",
       "\n",
       "#### Installing with anaconda\n",
       "\n",
       "Install [anaconda](http://anaconda.com/downloads)\n",
       "\n",
       "Anaconda should come with all the dependencies included, but you may need to update your versions.\n",
       "\n",
       "#### Installing with miniconda\n",
       "\n",
       "Install [miniconda](http://conda.pydata.org/miniconda.html).\n",
       "\n",
       "Use the command line to create an environment and install the packages:\n",
       "\n",
       "```bash\n",
       "$ conda env create\n",
       "$ source activate bokeh-notebooks\n",
       "```\n",
       "\n",
       "NOTE: Run this in the `tutorial` directory where `environment.yml` file is.\n",
       "\n",
       "----\n",
       "\n",
       "Once you've got a base install, you can install the remaining dependencies with:\n",
       "\n",
       "```bash\n",
       "conda install phantomjs pillow selenium\n",
       "```\n",
       "\n",
       "## Get the sample data\n",
       "\n",
       "Bokeh has a [sample data](https://docs.bokeh.org/en/latest/docs/installation.html#sample-data) download that gives us some data to build demo visualizations. To get\n",
       "it run the following command at your command line:\n",
       "\n",
       "```bash\n",
       "$ bokeh sampledata\n",
       "```\n",
       "\n",
       "or run the following from within a Python interpreter:\n",
       "\n",
       "```python\n",
       "import bokeh.sampledata\n",
       "bokeh.sampledata.download()\n",
       "```\n",
       "\n",
       "### Install Datashader and Holoviews (optional)\n",
       "\n",
       "Some optional sections require the additional packages Flask, Datashader, and Holoviews.\n",
       "These  can be installed with:\n",
       "\n",
       "```bash\n",
       "$ conda install -c pyviz datashader holoviews flask\n",
       "```\n",
       "\n",
       "## Run the Jupyter notebook\n",
       "\n",
       "From this folder run jupyter notebook, and open the [00 - Introduction and Setup.ipynb](00 - Introduction and Setup.ipynb) notebook.\n",
       "\n",
       "```\n",
       "$ jupyter notebook\n",
       "```\n"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.core.display import Markdown\n",
    "Markdown(open(\"README.md\").read())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "Collapsed": "false"
   },
   "source": [
    "### Setup-test, run the next cell. Hopefully you should see output that looks something like this:\n",
    "\n",
    "    IPython - 7.9.0\n",
    "    Pandas - 0.25.2\n",
    "    Bokeh - 1.4.0\n",
    "    \n",
    "If this isn't working for you, see the [`README.md`](README.md) in this directory."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "Collapsed": "false"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "IPython - 7.12.0\n",
      "Pandas - 1.0.1\n",
      "Bokeh - 1.4.0\n"
     ]
    }
   ],
   "source": [
    "from IPython import __version__ as ipython_version\n",
    "from pandas import __version__ as pandas_version\n",
    "from bokeh import __version__ as bokeh_version\n",
    "print(\"IPython - %s\" % ipython_version)\n",
    "print(\"Pandas - %s\" % pandas_version)\n",
    "print(\"Bokeh - %s\" % bokeh_version)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "Collapsed": "false"
   },
   "source": [
    "# Next Section"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "Collapsed": "false"
   },
   "source": [
    "Click on this link to go to the next notebook: [01 - Basic Plotting](01%20-%20Basic%20Plotting.ipynb)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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