{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# iqplot\n",
    "\n",
    "[Data set download](https://s3.amazonaws.com/bebi103.caltech.edu/data/gfmt_sleep.csv)\n",
    "\n",
    "<hr />"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <a href=\"https://bokeh.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",
       "        toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\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",
       "    const hashes = {\"https://cdn.bokeh.org/bokeh/release/bokeh-2.2.1.min.js\": \"qkRvDQVAIfzsJo40iRBbxt6sttt0hv4lh74DG7OK4MCHv4C5oohXYoHUM5W11uqS\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.2.1.min.js\": \"Sb7Mr06a9TNlet/GEBeKaf5xH3eb6AlCzwjtU82wNPyDrnfoiVl26qnvlKjmcAd+\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.2.1.min.js\": \"HaJ15vgfmcfRtB4c4YBOI4f1MUujukqInOWVqZJZZGK7Q+ivud0OKGSTn/Vm2iso\"};\n",
       "\n",
       "    for (var i = 0; i < js_urls.length; i++) {\n",
       "      var url = js_urls[i];\n",
       "      var element = document.createElement('script');\n",
       "      element.onload = on_load;\n",
       "      element.onerror = on_error;\n",
       "      element.async = false;\n",
       "      element.src = url;\n",
       "      if (url in hashes) {\n",
       "        element.crossOrigin = \"anonymous\";\n",
       "        element.integrity = \"sha384-\" + hashes[url];\n",
       "      }\n",
       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "      document.head.appendChild(element);\n",
       "    }\n",
       "  };\n",
       "\n",
       "  function inject_raw_css(css) {\n",
       "    const element = document.createElement(\"style\");\n",
       "    element.appendChild(document.createTextNode(css));\n",
       "    document.body.appendChild(element);\n",
       "  }\n",
       "\n",
       "  \n",
       "  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.2.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.2.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.2.1.min.js\"];\n",
       "  var css_urls = [];\n",
       "  \n",
       "\n",
       "  var inline_js = [\n",
       "    function(Bokeh) {\n",
       "      Bokeh.set_log_level(\"info\");\n",
       "    },\n",
       "    function(Bokeh) {\n",
       "    \n",
       "    \n",
       "    }\n",
       "  ];\n",
       "\n",
       "  function run_inline_js() {\n",
       "    \n",
       "    if (root.Bokeh !== undefined || force === true) {\n",
       "      \n",
       "    for (var i = 0; i < inline_js.length; i++) {\n",
       "      inline_js[i].call(root, root.Bokeh);\n",
       "    }\n",
       "    if (force === true) {\n",
       "        display_loaded();\n",
       "      }} else if (Date.now() < root._bokeh_timeout) {\n",
       "      setTimeout(run_inline_js, 100);\n",
       "    } else if (!root._bokeh_failed_load) {\n",
       "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "      root._bokeh_failed_load = true;\n",
       "    } else if (force !== true) {\n",
       "      var cell = $(document.getElementById(\"1001\")).parents('.cell').data().cell;\n",
       "      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "    }\n",
       "\n",
       "  }\n",
       "\n",
       "  if (root._bokeh_is_loading === 0) {\n",
       "    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "    run_inline_js();\n",
       "  } else {\n",
       "    load_libs(css_urls, js_urls, function() {\n",
       "      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "      run_inline_js();\n",
       "    });\n",
       "  }\n",
       "}(window));"
      ],
      "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    const hashes = {\"https://cdn.bokeh.org/bokeh/release/bokeh-2.2.1.min.js\": \"qkRvDQVAIfzsJo40iRBbxt6sttt0hv4lh74DG7OK4MCHv4C5oohXYoHUM5W11uqS\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.2.1.min.js\": \"Sb7Mr06a9TNlet/GEBeKaf5xH3eb6AlCzwjtU82wNPyDrnfoiVl26qnvlKjmcAd+\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.2.1.min.js\": \"HaJ15vgfmcfRtB4c4YBOI4f1MUujukqInOWVqZJZZGK7Q+ivud0OKGSTn/Vm2iso\"};\n\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      if (url in hashes) {\n        element.crossOrigin = \"anonymous\";\n        element.integrity = \"sha384-\" + hashes[url];\n      }\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  \n  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.2.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.2.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.2.1.min.js\"];\n  var css_urls = [];\n  \n\n  var inline_js = [\n    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\n    function(Bokeh) {\n    \n    \n    }\n  ];\n\n  function run_inline_js() {\n    \n    if (root.Bokeh !== undefined || force === true) {\n      \n    for (var i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\n    if (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      var cell = $(document.getElementById(\"1001\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Colab setup ------------------\n",
    "import os, sys, subprocess\n",
    "if \"google.colab\" in sys.modules:\n",
    "    cmd = \"pip install --upgrade iqplot colorcet watermark\"\n",
    "    process = subprocess.Popen(cmd.split(), stdout=subprocess.PIPE, stderr=subprocess.PIPE)\n",
    "    stdout, stderr = process.communicate()\n",
    "    data_path = \"https://s3.amazonaws.com/bebi103.caltech.edu/data/\"\n",
    "else:\n",
    "    data_path = \"../data/\"\n",
    "# ------------------------------\n",
    "\n",
    "import pandas as pd\n",
    "\n",
    "import iqplot\n",
    "\n",
    "import bokeh.io\n",
    "bokeh.io.output_notebook()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<hr>\n",
    "\n",
    "Holoviews is and excellent for this purpose high-level package, but as we have mentioned before, it lacks two key functionalities.\n",
    "\n",
    "1. It does not natively conveniently make ECDFs, but [it will soon](https://github.com/pyviz/holoviews/issues/3821).\n",
    "2. It does not allow for nested categorical axes for plots other than box plots, bar graphs, and violin plots, but [it will soon](http://holoviews.org/user_guide/Customizing_Plots.html#Categorical-axes).\n",
    "\n",
    "To address these and other needs, I developed [iq](https://iqplot.github.io/), which generates Bokeh plots for data sets where one variable is quantitative and all other variables of interest, if any, are categorical. This is where the name comes from; the first two letters of the package name are meant to indicate one (Roman number I) quantitative (Q) variable. The subclass of data sets that contain a single quantitative variable (and possibly several categorical variables) abound in the biological sciences.\n",
    "\n",
    "There are five types of plots that iqplot can generate. As you will see, all four of these modes of plotting are meant to give a picture about how the quantitative measurements are *distributed*.\n",
    "\n",
    "- **Plots with a categorical axis**\n",
    "    + Box plots: `iqplot.box()`\n",
    "    + Strip plots: `iqplot.strip()`\n",
    "    + Strip-box plots (strip and box plots overlaid): `iqplot.stripbox()`\n",
    " \n",
    "    \n",
    "- **Plots without a categorical axis**\n",
    "    + Histograms: `iqplot.histogram()`\n",
    "    + [ECDFs](https://en.wikipedia.org/wiki/Empirical_distribution_function): `iqplot.ecdf()`\n",
    "    \n",
    "\n",
    "This first seven arguments are the same for all plots. They are:\n",
    "\n",
    "- `data`: A tidy data frame\n",
    "- `q`: The column of the data frame to be treated as the quantitative variable.\n",
    "- `cats`: A list of columns in the data frame that are to be considered as categorical variables in the plot. If `None`, a single box, strip, histogram, or ECDF is plotted.\n",
    "- `q_axis`: Along which axis, x or y that the quantitative variable varies. The default is `'x'`.\n",
    "- `palette`: A list of hex colors to use for coloring the markers for each category. By default, it uses the Glasbey Category 10 color palette from [colorcet](https://colorcet.holoviz.org/).\n",
    "- `order`: If specified, the ordering of the categories to use on the categorical axis and legend (if applicable). Otherwise, the order of the inputted data frame is used.\n",
    "- `p`: If specified, the `bokeh.plotting.Figure` object to use for the plot. If not specified, a new figure is created.\n",
    "\n",
    "If `data` is given as a Numpy array, it is the only required argument. `If` data is given as a Pandas DataFrame, `q` must also be supplied. All other arguments are optional and have reasonably set defaults. Any extra kwargs not in the function call signature are passed to `bokeh.plotting.figure()` when the figure is instantiated.\n",
    "\n",
    "With this in mind, we will put iqplot to use on facial identification data set to demonstrate how we can make each of the five kinds of plots."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "fname = os.path.join(data_path, \"gfmt_sleep.csv\")\n",
    "df = pd.read_csv(fname, na_values=\"*\")\n",
    "df[\"insomnia\"] = df[\"sci\"] <= 16\n",
    "df[\"sleeper\"] = df[\"insomnia\"].apply(lambda x: \"insomniac\" if x else \"normal\")\n",
    "df[\"gender\"] = df[\"gender\"].apply(lambda x: \"female\" if x == \"f\" else \"male\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## All four plots\n",
    "\n",
    "We now make plots of the percent correct for male and female insomniacs and normal sleepers so you can see how the syntax works."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Box plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
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      "text/html": [
       "\n",
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       "\n",
       "\n",
       "\n",
       "\n",
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Application\",\"version\":\"2.2.1\"}};\n",
       "  var render_items = [{\"docid\":\"6dd61f42-423b-484d-bdd0-6be9daa1d821\",\"root_ids\":[\"1003\"],\"roots\":{\"1003\":\"a6c829a2-8559-4122-83c2-f66179ce718e\"}}];\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": [
    "p = iqplot.box(\n",
    "    data=df,\n",
    "    q='percent correct',\n",
    "    cats=['gender', 'sleeper'],\n",
    ")\n",
    "\n",
    "bokeh.io.show(p)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Strip plot\n",
    "\n",
    "For this plot, I will add jitter, which is passes as a Boolean. Note that HoloViews cannot make a plot like this because it cannot have nested categorical axes for `Scatter` elements. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"1e61dee7-249b-4322-8acd-f880274729cd\" data-root-id=\"1129\"></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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correct\"},\"y\":{\"field\":\"cat\",\"transform\":{\"id\":\"1160\"}}},\"id\":\"1162\",\"type\":\"Circle\"},{\"attributes\":{\"formatter\":{\"id\":\"1180\"},\"ticker\":{\"id\":\"1142\"}},\"id\":\"1141\",\"type\":\"CategoricalAxis\"},{\"attributes\":{\"data_source\":{\"id\":\"1159\"},\"glyph\":{\"id\":\"1162\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1163\"},\"selection_glyph\":null,\"view\":{\"id\":\"1165\"}},\"id\":\"1164\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"1135\",\"type\":\"CategoricalScale\"},{\"attributes\":{\"factors\":[[\"female\",\"insomniac\"],[\"female\",\"normal\"],[\"male\",\"insomniac\"],[\"male\",\"normal\"]],\"palette\":[\"#1f77b3\",\"#ff7e0e\",\"#2ba02b\",\"#d62628\",\"#9367bc\",\"#8c564b\",\"#e277c1\",\"#7e7e7e\",\"#bcbc21\",\"#16bdcf\",\"#3a0182\",\"#004201\",\"#0fffa8\",\"#5d003f\",\"#bcbcff\",\"#d8afa1\",\"#b80080\",\"#004d52\",\"#6b6400\",\"#7c0100\",\"#6026ff\",\"#ffff9a\",\"#564964\",\"#8cb893\",\"#93fbff\",\"#018267\",\"#90ff00\",\"#8200a0\",\"#ac8944\",\"#5b3400\",\"#ffbff2\",\"#ff6e75\",\"#798cff\",\"#dd00ff\",\"#505646\",\"#004489\",\"#ffbf60\",\"#ff018c\",\"#bdc8cf\",\"#af97b5\",\"#b65600\",\"#017000\",\"#cd87ff\",\"#1cd646\",\"#bfebc3\",\"#7997b5\",\"#a56089\",\"#6e8956\",\"#bc7c75\",\"#8a2844\",\"#00acff\",\"#8ed4ff\",\"#4b6d77\",\"#00d4b1\",\"#9300f2\",\"#8a9500\",\"#5d5b9e\",\"#fddfba\",\"#00939e\",\"#ffdb00\",\"#00aa79\",\"#520067\",\"#000091\",\"#0a5d3d\",\"#a5e275\",\"#623b41\",\"#c6c689\",\"#ff9eb5\",\"#cd4f6b\",\"#ff07d6\",\"#8a3a05\",\"#7e3d70\",\"#ff4901\",\"#602ba5\",\"#1c00ff\",\"#e6dfff\",\"#aa3baf\",\"#d89c00\",\"#a3a39e\",\"#3f69ff\",\"#46490c\",\"#7b6985\",\"#6b978c\",\"#ff9a75\",\"#835bff\",\"#7c6b46\",\"#80b654\",\"#bc0049\",\"#fd93ff\",\"#5d0018\",\"#89d1d1\",\"#9c8cd3\",\"#da6d42\",\"#8a5700\",\"#3b5069\",\"#4b6b3b\",\"#edcfd8\",\"#cfedff\",\"#aa1500\",\"#dfff4f\",\"#ff2a56\",\"#d1499e\",\"#707cb8\",\"#598000\",\"#00e4fd\",\"#774b95\",\"#67d48c\",\"#3d3a72\",\"#ac413f\",\"#d6a166\",\"#c169cd\",\"#69595d\",\"#87aced\",\"#a0a569\",\"#d1aae6\",\"#870062\",\"#00fddb\",\"#672818\",\"#b342ff\",\"#0e59c4\",\"#168742\",\"#90d300\",\"#cd7900\",\"#f959ff\",\"#5b7466\",\"#8eaeb3\",\"#9c7c8c\",\"#4600c6\",\"#6b4d2d\",\"#a56d46\",\"#9e8972\",\"#a8afca\",\"#cd8ca7\",\"#00fd64\",\"#917900\",\"#ff62a1\",\"#f4ffd8\",\"#018cf0\",\"#13aca0\",\"#5b2d59\",\"#89859e\",\"#cfccba\",\"#d4afc4\",\"#dbdd6d\",\"#cffff4\",\"#006485\",\"#006962\",\"#a84167\",\"#2d97c4\",\"#a874ff\",\"#26ba5d\",\"#57b600\",\"#caffa7\",\"#a379aa\",\"#ffbc93\",\"#89e2c1\",\"#0fc8ff\",\"#d400c4\",\"#626d89\",\"#69858e\",\"#4b4d52\",\"#aa6067\",\"#79b5d4\",\"#2b5916\",\"#9a0024\",\"#bdd1f2\",\"#896e67\",\"#69a56b\",\"#855467\",\"#aecdba\",\"#87997e\",\"#cadb00\",\"#9a0390\",\"#ebbc1a\",\"#eb9cd1\",\"#70006e\",\"#b1a131\",\"#ca6b93\",\"#4146a3\",\"#e48c89\",\"#d44400\",\"#c68aca\",\"#b69597\",\"#d41f75\",\"#724bcc\",\"#674d00\",\"#672138\",\"#38564f\",\"#6ebaaa\",\"#853a31\",\"#a5d397\",\"#b8af8e\",\"#d8e4df\",\"#aa00df\",\"#cac1db\",\"#ffdf8c\",\"#e2524d\",\"#66696e\",\"#ff001c\",\"#522d72\",\"#4d906b\",\"#a86d11\",\"#ff9e26\",\"#5ea3af\",\"#c88556\",\"#915997\",\"#a3a1ff\",\"#fdbaba\",\"#242a87\",\"#dbe6a8\",\"#97f2a7\",\"#6793d6\",\"#ba5b3f\",\"#3a5d91\",\"#364f2f\",\"#267c95\",\"#89959a\",\"#cfb356\",\"#004664\",\"#5e5d2f\",\"#8e8e41\",\"#ac3f13\",\"#69953b\",\"#a13d85\",\"#bfb6ba\",\"#acc667\",\"#6469cf\",\"#91af00\",\"#2be2da\",\"#016e36\",\"#ff7952\",\"#42807e\",\"#4fe800\",\"#995428\",\"#5d0a00\",\"#a30057\",\"#0c8700\",\"#5982a7\",\"#ffebfb\",\"#4b6901\",\"#8775d4\",\"#e6c6ff\",\"#a5ffda\",\"#d86e77\",\"#df014b\",\"#69675b\",\"#776ba1\",\"#7e8067\",\"#594685\",\"#0000ca\",\"#7c002a\",\"#97ff72\",\"#b5e2e1\",\"#db52c8\",\"#777734\",\"#57bd8e\"]},\"id\":\"1158\",\"type\":\"CategoricalColorMapper\"},{\"attributes\":{},\"id\":\"1138\",\"type\":\"BasicTicker\"},{\"attributes\":{\"text\":\"\"},\"id\":\"1178\",\"type\":\"Title\"},{\"attributes\":{\"axis_label\":\"percent correct\",\"formatter\":{\"id\":\"1182\"},\"ticker\":{\"id\":\"1138\"}},\"id\":\"1137\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"1182\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"factors\":[[\"male\",\"normal\"],[\"male\",\"insomniac\"],[\"female\",\"normal\"],[\"female\",\"insomniac\"]]},\"id\":\"1128\",\"type\":\"FactorRange\"},{\"attributes\":{},\"id\":\"1180\",\"type\":\"CategoricalTickFormatter\"},{\"attributes\":{\"bottom_units\":\"screen\",\"fill_alpha\":0.5,\"fill_color\":\"lightgrey\",\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":1.0,\"line_color\":\"black\",\"line_dash\":[4,4],\"line_width\":2,\"right_units\":\"screen\",\"top_units\":\"screen\"},\"id\":\"1150\",\"type\":\"BoxAnnotation\"}],\"root_ids\":[\"1129\"]},\"title\":\"Bokeh Application\",\"version\":\"2.2.1\"}};\n",
       "  var render_items = [{\"docid\":\"91978ef4-7beb-4808-9782-f9c25828ec97\",\"root_ids\":[\"1129\"],\"roots\":{\"1129\":\"1e61dee7-249b-4322-8acd-f880274729cd\"}}];\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": "1129"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p = iqplot.strip(\n",
    "    data=df,\n",
    "    q='percent correct',\n",
    "    cats=['gender', 'sleeper'],\n",
    "    jitter=True,\n",
    ")\n",
    "\n",
    "bokeh.io.show(p)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Strip-box plot\n",
    "\n",
    "For a strip-box plot, a strip plot and box plot are overlaid with reasonable defaults for the box plot to enable visualization."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"05e45104-11d4-4b8c-a8a3-f19029f40b12\" data-root-id=\"1232\"></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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correct\"},\"y\":{\"field\":\"cat\",\"transform\":{\"id\":\"1299\"}}},\"id\":\"1301\",\"type\":\"Circle\"},{\"attributes\":{\"data_source\":{\"id\":\"1261\"},\"glyph\":{\"id\":\"1282\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1283\"},\"selection_glyph\":null,\"view\":{\"id\":\"1285\"}},\"id\":\"1284\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"1248\",\"type\":\"WheelZoomTool\"},{\"attributes\":{},\"id\":\"1247\",\"type\":\"PanTool\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"height\":{\"value\":0.4},\"left\":{\"field\":\"middle\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"gray\"},\"right\":{\"field\":\"middle\"},\"y\":{\"field\":\"cat\"}},\"id\":\"1293\",\"type\":\"HBar\"},{\"attributes\":{\"overlay\":{\"id\":\"1253\"}},\"id\":\"1249\",\"type\":\"BoxZoomTool\"},{\"attributes\":{},\"id\":\"1250\",\"type\":\"SaveTool\"}],\"root_ids\":[\"1232\"]},\"title\":\"Bokeh Application\",\"version\":\"2.2.1\"}};\n",
       "  var render_items = [{\"docid\":\"08500d81-bbf6-4c4b-8325-196b752765b4\",\"root_ids\":[\"1232\"],\"roots\":{\"1232\":\"05e45104-11d4-4b8c-a8a3-f19029f40b12\"}}];\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": "1232"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p = iqplot.stripbox(\n",
    "    data=df,\n",
    "    q='percent correct',\n",
    "    cats=['gender', 'sleeper'],\n",
    "    jitter=True,\n",
    ")\n",
    "\n",
    "bokeh.io.show(p)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Histogram\n",
    "\n",
    "For histograms, the number of bins are automatically chosen using the [Freedman-Diaconis rule](https://en.wikipedia.org/wiki/Freedman–Diaconis_rule)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"841cad3d-2a7f-4831-a597-f57a15996d69\" data-root-id=\"1392\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
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normal\"},\"renderers\":[{\"id\":\"1543\"},{\"id\":\"1570\"}]},\"id\":\"1566\",\"type\":\"LegendItem\"},{\"attributes\":{},\"id\":\"1674\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"text\":\"\"},\"id\":\"1428\",\"type\":\"Title\"},{\"attributes\":{\"click_policy\":\"hide\",\"items\":[{\"id\":\"1437\"},{\"id\":\"1472\"},{\"id\":\"1515\"},{\"id\":\"1566\"}],\"location\":\"top_left\"},\"id\":\"1436\",\"type\":\"Legend\"},{\"attributes\":{\"data_source\":{\"id\":\"1422\"},\"glyph\":{\"id\":\"1423\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1424\"},\"selection_glyph\":null,\"view\":{\"id\":\"1426\"}},\"id\":\"1425\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"1564\",\"type\":\"Selection\"},{\"attributes\":{},\"id\":\"1675\",\"type\":\"Selection\"},{\"attributes\":{\"source\":{\"id\":\"1422\"}},\"id\":\"1426\",\"type\":\"CDSView\"},{\"attributes\":{},\"id\":\"1676\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"bottom_units\":\"screen\",\"fill_alpha\":0.5,\"fill_color\":\"lightgrey\",\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":1.0,\"line_color\":\"black\",\"line_dash\":[4,4],\"line_width\":2,\"right_units\":\"screen\",\"top_units\":\"screen\"},\"id\":\"1414\",\"type\":\"BoxAnnotation\"},{\"attributes\":{\"data\":{\"x\":{\"__ndarray__\":\"AAAAAAAAREAAAAAAAABEQNu2bdu27UdA27Zt27btR0C3bdu2bdtLQLdt27Zt20tAkiRJkiTJT0CSJEmSJMlPQLdt27Zt21FAt23btm3bUUAkSZIkSdJTQCRJkiRJ0lNAkiRJkiTJVUCSJEmSJMlVQAAAAAAAwFdAAAAAAADAV0AAAAAAAMBXQAAAAAAAAERA\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[18]},\"y\":{\"__ndarray__\":\"AAAAAAAAAAAAAAAAAADwPwAAAAAAAPA/AAAAAAAAAAAAAAAAAAAAAAAAAAAAAPA/AAAAAAAA8D8AAAAAAADwPwAAAAAAAPA/AAAAAAAAGEAAAAAAAAAYQAAAAAAAABRAAAAAAAAAFEAAAAAAAAAgQAAAAAAAACBAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[18]}},\"selected\":{\"id\":\"1593\"},\"selection_policy\":{\"id\":\"1594\"}},\"id\":\"1567\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"fill_alpha\":0.1,\"fill_color\":\"#d62628\",\"line_alpha\":0.1,\"line_color\":\"#d62628\",\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1569\",\"type\":\"Patch\"},{\"attributes\":{\"data_source\":{\"id\":\"1567\"},\"glyph\":{\"id\":\"1568\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1569\"},\"selection_glyph\":null,\"view\":{\"id\":\"1571\"}},\"id\":\"1570\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"1593\",\"type\":\"Selection\"},{\"attributes\":{},\"id\":\"1594\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"start\":0},\"id\":\"1391\",\"type\":\"DataRange1d\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_multi\":null,\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"1408\"},{\"id\":\"1409\"},{\"id\":\"1410\"},{\"id\":\"1411\"},{\"id\":\"1412\"},{\"id\":\"1413\"}]},\"id\":\"1415\",\"type\":\"Toolbar\"}],\"root_ids\":[\"1392\"]},\"title\":\"Bokeh Application\",\"version\":\"2.2.1\"}};\n",
       "  var render_items = [{\"docid\":\"64fa0f2d-8306-45c7-82ac-928303d907f2\",\"root_ids\":[\"1392\"],\"roots\":{\"1392\":\"841cad3d-2a7f-4831-a597-f57a15996d69\"}}];\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": "1392"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p = iqplot.histogram(\n",
    "    data=df,\n",
    "    q='percent correct',\n",
    "    cats=['gender', 'sleeper'],\n",
    ")\n",
    "\n",
    "p.legend.location = 'top_left'\n",
    "\n",
    "bokeh.io.show(p)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### ECDF"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"729117c8-f6a3-4a59-b43f-429112771357\" data-root-id=\"1832\"></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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       "  var render_items = [{\"docid\":\"8f8dd2ae-334f-4161-bd25-63478d68f772\",\"root_ids\":[\"1832\"],\"roots\":{\"1832\":\"729117c8-f6a3-4a59-b43f-429112771357\"}}];\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",
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       "        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": "1832"
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     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p = iqplot.ecdf(\n",
    "    data=df,\n",
    "    q='percent correct',\n",
    "    cats=['gender', 'sleeper'],\n",
    "    style='staircase'\n",
    ")\n",
    "\n",
    "p.legend.location = 'top_left'\n",
    "\n",
    "bokeh.io.show(p)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note that the ECDFs show a clear difference. Female insomniacs have a distribution that is shifted leftward from all other categories. This is most revealing in the ECDF."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Customization with iqplot\n",
    "\n",
    "You may have noticed in the discussion of ECDFs that I introduced some a new keyword argument, `style='staircase'`. There are plot-type-specific kwargs which enable customization beyond the customization kwargs common to the plot types, such as `palette` and `q_axis`.\n",
    "\n",
    "You can find out what kwargs are available for each function by reading their doc strings, e.g., with\n",
    "\n",
    "```python\n",
    "iqplot.box?\n",
    "```\n",
    "\n",
    "of by reading [the documentation](https://iqplot.github.io/). Any kwargs not in the function call signature are passed to `bokeh.plotting.figure()` when the figure is instantiated."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Customizing box plots\n",
    "\n",
    "We can also have vertical box plots using the `q_axis` kwarg."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
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       "\n",
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       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"fc9f451d-e2e2-4b57-ad72-4f2f12b9fba8\" data-root-id=\"2417\"></div>\n"
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correct\"}},\"id\":\"2472\",\"type\":\"Circle\"},{\"attributes\":{\"line_alpha\":{\"value\":0.1},\"x0\":{\"field\":\"cat\"},\"x1\":{\"field\":\"cat\"},\"y0\":{\"field\":\"bottom\"},\"y1\":{\"field\":\"bottom_whisker\"}},\"id\":\"2458\",\"type\":\"Segment\"},{\"attributes\":{},\"id\":\"2433\",\"type\":\"WheelZoomTool\"}],\"root_ids\":[\"2417\"]},\"title\":\"Bokeh Application\",\"version\":\"2.2.1\"}};\n",
       "  var render_items = [{\"docid\":\"84772122-e7b7-415e-90e7-b89e2f2f3449\",\"root_ids\":[\"2417\"],\"roots\":{\"2417\":\"fc9f451d-e2e2-4b57-ad72-4f2f12b9fba8\"}}];\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": "2417"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p = iqplot.box(\n",
    "    data=df,\n",
    "    q='percent correct',\n",
    "    cats=['gender', 'sleeper'],\n",
    "    q_axis='y',\n",
    ")\n",
    "\n",
    "bokeh.io.show(p)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can independently specify properties of the marks using `box_kwargs`, `whisker_kwargs`, `median_kwargs`, and `outlier_kwargs`. For example, say we wanted our colors to be [Betancourt red](https://betanalpha.github.io/assets/case_studies/principled_bayesian_workflow.html#step_four:_build_a_generative_model19), and that we wanted the outliers to also be that color and use diamond glyphs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"3cabbe15-e95e-4be2-ac01-f52a6c7196de\" data-root-id=\"2636\"></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\":\"2.2.1\"}};\n",
       "  var render_items = [{\"docid\":\"9f65ba6a-8588-4a1c-ae94-ef13bb2cc28e\",\"root_ids\":[\"2636\"],\"roots\":{\"2636\":\"3cabbe15-e95e-4be2-ac01-f52a6c7196de\"}}];\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": "2636"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p = iqplot.box(\n",
    "    data=df,\n",
    "    q='percent correct',\n",
    "    cats=['gender', 'sleeper'],\n",
    "    q_axis='y',\n",
    "    whisker_caps=True,\n",
    "    outlier_marker='diamond',\n",
    "    box_kwargs=dict(fill_color='#7C0000'),\n",
    "    whisker_kwargs=dict(line_color='#7C0000', line_width=2),\n",
    ")\n",
    "\n",
    "bokeh.io.show(p)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Customzing strip plots\n",
    "\n",
    "To help alleviate the overlap problem, we can make a strip plot with dash markers and add some transparency."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"61bfbc3a-4a6e-4bbd-aa0b-beabb1aea29c\" data-root-id=\"2873\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
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       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
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correct\",\"formatter\":{\"id\":\"3029\"},\"ticker\":{\"id\":\"2882\"}},\"id\":\"2881\",\"type\":\"LinearAxis\"},{\"attributes\":{\"formatter\":{\"id\":\"3027\"},\"ticker\":{\"id\":\"2886\"}},\"id\":\"2885\",\"type\":\"CategoricalAxis\"},{\"attributes\":{},\"id\":\"2886\",\"type\":\"CategoricalTicker\"},{\"attributes\":{\"bottom_units\":\"screen\",\"fill_alpha\":0.5,\"fill_color\":\"lightgrey\",\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":1.0,\"line_color\":\"black\",\"line_dash\":[4,4],\"line_width\":2,\"right_units\":\"screen\",\"top_units\":\"screen\"},\"id\":\"2894\",\"type\":\"BoxAnnotation\"},{\"attributes\":{},\"id\":\"3027\",\"type\":\"CategoricalTickFormatter\"},{\"attributes\":{},\"id\":\"2879\",\"type\":\"CategoricalScale\"},{\"attributes\":{},\"id\":\"2891\",\"type\":\"SaveTool\"},{\"attributes\":{\"axis\":{\"id\":\"2885\"},\"dimension\":1,\"grid_line_color\":null,\"ticker\":null},\"id\":\"2887\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"2882\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"3031\",\"type\":\"Selection\"},{\"attributes\":{},\"id\":\"3032\",\"type\":\"UnionRenderers\"},{\"attributes\":{},\"id\":\"2877\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"2889\",\"type\":\"WheelZoomTool\"},{\"attributes\":{\"text\":\"\"},\"id\":\"3025\",\"type\":\"Title\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_multi\":null,\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"2888\"},{\"id\":\"2889\"},{\"id\":\"2890\"},{\"id\":\"2891\"},{\"id\":\"2892\"},{\"id\":\"2893\"}]},\"id\":\"2895\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"2893\",\"type\":\"HelpTool\"}],\"root_ids\":[\"2873\"]},\"title\":\"Bokeh Application\",\"version\":\"2.2.1\"}};\n",
       "  var render_items = [{\"docid\":\"05e3d53e-6c33-40f8-ba7d-c121a8c5c2b9\",\"root_ids\":[\"2873\"],\"roots\":{\"2873\":\"61bfbc3a-4a6e-4bbd-aa0b-beabb1aea29c\"}}];\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": "2873"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p = iqplot.strip(\n",
    "    data=df,\n",
    "    q='percent correct',\n",
    "    cats=['gender', 'sleeper'],\n",
    "    marker='dash',\n",
    "    marker_kwargs=dict(alpha=0.5)\n",
    ")\n",
    "\n",
    "bokeh.io.show(p)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "I prefer jittering to this, but a strip plot with dashes is an option (also in HoloViews). Below, I add hover tools that give more information about the respective data points in a jittered strip plot."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"5b8740f8-b231-48b4-b608-01b38d0d683e\" data-root-id=\"3079\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  var docs_json = {\"1a8a9283-1e60-4bfa-80b7-6a93d69589ee\":{\"roots\":{\"references\":[{\"attributes\":{\"below\":[{\"id\":\"3087\"}],\"center\":[{\"id\":\"3090\"},{\"id\":\"3093\"}],\"frame_height\":275,\"frame_width\":375,\"left\":[{\"id\":\"3091\"}],\"renderers\":[{\"id\":\"3116\"}],\"title\":{\"id\":\"3243\"},\"toolbar\":{\"id\":\"3101\"},\"x_range\":{\"id\":\"3080\"},\"x_scale\":{\"id\":\"3083\"},\"y_range\":{\"id\":\"3078\"},\"y_scale\":{\"id\":\"3085\"}},\"id\":\"3079\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"3250\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"axis_label\":\"percent correct\",\"formatter\":{\"id\":\"3247\"},\"ticker\":{\"id\":\"3088\"}},\"id\":\"3087\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"3092\",\"type\":\"CategoricalTicker\"},{\"attributes\":{\"axis\":{\"id\":\"3091\"},\"dimension\":1,\"grid_line_color\":null,\"ticker\":null},\"id\":\"3093\",\"type\":\"Grid\"},{\"attributes\":{\"distribution\":\"normal\",\"range\":{\"id\":\"3078\"},\"width\":0.1},\"id\":\"3112\",\"type\":\"Jitter\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_multi\":null,\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"3094\"},{\"id\":\"3095\"},{\"id\":\"3096\"},{\"id\":\"3097\"},{\"id\":\"3098\"},{\"id\":\"3099\"},{\"id\":\"3108\"}]},\"id\":\"3101\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"3095\",\"type\":\"WheelZoomTool\"},{\"attributes\":{},\"id\":\"3094\",\"type\":\"PanTool\"},{\"attributes\":{\"overlay\":{\"id\":\"3100\"}},\"id\":\"3096\",\"type\":\"BoxZoomTool\"},{\"attributes\":{},\"id\":\"3245\",\"type\":\"CategoricalTickFormatter\"},{\"attributes\":{},\"id\":\"3097\",\"type\":\"SaveTool\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"field\":\"cat\",\"transform\":{\"id\":\"3110\"}},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"field\":\"cat\",\"transform\":{\"id\":\"3110\"}},\"x\":{\"field\":\"percent 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number\",\"@{participant number}\"]]},\"id\":\"3108\",\"type\":\"HoverTool\"},{\"attributes\":{},\"id\":\"3085\",\"type\":\"CategoricalScale\"},{\"attributes\":{\"formatter\":{\"id\":\"3245\"},\"ticker\":{\"id\":\"3092\"}},\"id\":\"3091\",\"type\":\"CategoricalAxis\"}],\"root_ids\":[\"3079\"]},\"title\":\"Bokeh Application\",\"version\":\"2.2.1\"}};\n",
       "  var render_items = [{\"docid\":\"1a8a9283-1e60-4bfa-80b7-6a93d69589ee\",\"root_ids\":[\"3079\"],\"roots\":{\"3079\":\"5b8740f8-b231-48b4-b608-01b38d0d683e\"}}];\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": "3079"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p = iqplot.strip(\n",
    "    data=df,\n",
    "    q='percent correct',\n",
    "    cats=['gender', 'sleeper'],\n",
    "    jitter=True,\n",
    "    tooltips=[\n",
    "        ('age', '@{age}'),\n",
    "        ('participant number', '@{participant number}')\n",
    "    ],\n",
    ")\n",
    "\n",
    "bokeh.io.show(p)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Customizing histograms\n",
    "\n",
    "We could plot normalized histograms using the density kwarg, and we'll make the plot a little wider to support the legend."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"40cf5c44-411f-4170-94ec-c37f5805ff8d\" data-root-id=\"3297\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
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ion_policy\":{\"id\":\"3683\"}},\"id\":\"3515\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"source\":{\"id\":\"3515\"}},\"id\":\"3519\",\"type\":\"CDSView\"},{\"attributes\":{\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#d62628\"},\"line_width\":{\"value\":0.5},\"xs\":{\"field\":\"xs\"},\"ys\":{\"field\":\"ys\"}},\"id\":\"3517\",\"type\":\"MultiLine\"},{\"attributes\":{},\"id\":\"3679\",\"type\":\"UnionRenderers\"},{\"attributes\":{},\"id\":\"3335\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"axis\":{\"id\":\"3305\"},\"ticker\":null},\"id\":\"3308\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"3337\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"axis\":{\"id\":\"3309\"},\"dimension\":1,\"ticker\":null},\"id\":\"3312\",\"type\":\"Grid\"}],\"root_ids\":[\"3297\"]},\"title\":\"Bokeh Application\",\"version\":\"2.2.1\"}};\n",
       "  var render_items = [{\"docid\":\"cc4e9561-0004-4eb1-b452-d2cd1fdc8138\",\"root_ids\":[\"3297\"],\"roots\":{\"3297\":\"40cf5c44-411f-4170-94ec-c37f5805ff8d\"}}];\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": "3297"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the histogram\n",
    "p = iqplot.histogram(\n",
    "    data=df,\n",
    "    q='percent correct',\n",
    "    cats=['gender', 'sleeper'],\n",
    "    density=True,\n",
    "    frame_width=525,\n",
    ")\n",
    "\n",
    "p.legend.location = 'top_left'\n",
    "\n",
    "bokeh.io.show(p)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Customizing ECDFs\n",
    "\n",
    "Instead of plotting a separate ECDF for each category, we can put all of the categories together on one ECDF and color the points by the categorical variable by using the `kind='colored'` kwarg. Note that if we do this, we can only have the \"dot\" style ECDF, not the formal staircase."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"fb09f179-f315-4d62-b15c-79d323017843\" data-root-id=\"3839\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  var docs_json = {\"ac6239ea-e616-4d48-92c3-b5b52481e814\":{\"roots\":{\"references\":[{\"attributes\":{\"below\":[{\"id\":\"3848\"}],\"center\":[{\"id\":\"3851\"},{\"id\":\"3855\"},{\"id\":\"3885\"}],\"frame_height\":275,\"frame_width\":375,\"left\":[{\"id\":\"3852\"}],\"renderers\":[{\"id\":\"3874\"},{\"id\":\"3891\"},{\"id\":\"3909\"},{\"id\":\"3929\"}],\"title\":{\"id\":\"3877\"},\"toolbar\":{\"id\":\"3863\"},\"x_range\":{\"id\":\"3840\"},\"x_scale\":{\"id\":\"3844\"},\"y_range\":{\"id\":\"3842\"},\"y_scale\":{\"id\":\"3846\"}},\"id\":\"3839\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"label\":{\"value\":\"female, 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insomniac\"},\"renderers\":[{\"id\":\"3874\"}]},\"id\":\"3886\",\"type\":\"LegendItem\"},{\"attributes\":{\"text\":\"\"},\"id\":\"3877\",\"type\":\"Title\"},{\"attributes\":{\"axis\":{\"id\":\"3848\"},\"ticker\":null},\"id\":\"3851\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"3884\",\"type\":\"UnionRenderers\"},{\"attributes\":{},\"id\":\"3846\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"3945\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"bottom_units\":\"screen\",\"fill_alpha\":0.5,\"fill_color\":\"lightgrey\",\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":1.0,\"line_color\":\"black\",\"line_dash\":[4,4],\"line_width\":2,\"right_units\":\"screen\",\"top_units\":\"screen\"},\"id\":\"3862\",\"type\":\"BoxAnnotation\"},{\"attributes\":{},\"id\":\"3944\",\"type\":\"Selection\"},{\"attributes\":{\"axis_label\":\"percent correct\",\"formatter\":{\"id\":\"3881\"},\"ticker\":{\"id\":\"3849\"}},\"id\":\"3848\",\"type\":\"LinearAxis\"},{\"attributes\":{\"source\":{\"id\":\"3925\"}},\"id\":\"3930\",\"type\":\"CDSView\"},{\"attributes\":{},\"id\":\"3842\",\"type\":\"DataRange1d\"},{\"attributes\":{\"source\":{\"id\":\"3905\"}},\"id\":\"3910\",\"type\":\"CDSView\"},{\"attributes\":{\"data_source\":{\"id\":\"3925\"},\"glyph\":{\"id\":\"3927\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"3928\"},\"selection_glyph\":null,\"view\":{\"id\":\"3930\"}},\"id\":\"3929\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"3844\",\"type\":\"LinearScale\"},{\"attributes\":{\"data_source\":{\"id\":\"3905\"},\"glyph\":{\"id\":\"3907\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"3908\"},\"selection_glyph\":null,\"view\":{\"id\":\"3910\"}},\"id\":\"3909\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"3849\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"3857\",\"type\":\"WheelZoomTool\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#2ba02b\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#2ba02b\"},\"x\":{\"field\":\"percent correct\"},\"y\":{\"field\":\"__ECDF\"}},\"id\":\"3908\",\"type\":\"Circle\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#ff7e0e\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#ff7e0e\"},\"x\":{\"field\":\"percent correct\"},\"y\":{\"field\":\"__ECDF\"}},\"id\":\"3890\",\"type\":\"Circle\"},{\"attributes\":{\"fill_color\":{\"value\":\"#2ba02b\"},\"line_color\":{\"value\":\"#2ba02b\"},\"x\":{\"field\":\"percent correct\"},\"y\":{\"field\":\"__ECDF\"}},\"id\":\"3907\",\"type\":\"Circle\"},{\"attributes\":{\"axis_label\":\"ECDF\",\"formatter\":{\"id\":\"3879\"},\"ticker\":{\"id\":\"3853\"}},\"id\":\"3852\",\"type\":\"LinearAxis\"},{\"attributes\":{\"label\":{\"value\":\"male, insomniac\"},\"renderers\":[{\"id\":\"3891\"}]},\"id\":\"3904\",\"type\":\"LegendItem\"},{\"attributes\":{\"axis\":{\"id\":\"3852\"},\"dimension\":1,\"ticker\":null},\"id\":\"3855\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"3879\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"fill_color\":{\"value\":\"#ff7e0e\"},\"line_color\":{\"value\":\"#ff7e0e\"},\"x\":{\"field\":\"percent correct\"},\"y\":{\"field\":\"__ECDF\"}},\"id\":\"3889\",\"type\":\"Circle\"},{\"attributes\":{\"data\":{\"__ECDF\":{\"__ndarray__\":\"3dzc3NzczD9LS0tLS0vrP7W0tLS0tOQ/FBQUFBQUtD8eHh4eHh6eP8nIyMjIyOg/MjIyMjIy0j+XlpaWlpa2P319fX19fe0/+/r6+vr62j+cm5ubm5vbPx4eHh4eHr4/VVVVVVVVxT+XlpaWlpbGPzw8PDw8PNw/2NfX19fXxz8FBQUFBQXlPxQUFBQUFJQ/GRkZGRkZyT8=\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[19]},\"__label\":[\"female, insomniac\",\"female, insomniac\",\"female, insomniac\",\"female, insomniac\",\"female, insomniac\",\"female, insomniac\",\"female, insomniac\",\"female, insomniac\",\"female, insomniac\",\"female, insomniac\",\"female, insomniac\",\"female, insomniac\",\"female, insomniac\",\"female, insomniac\",\"female, insomniac\",\"female, insomniac\",\"female, insomniac\",\"female, insomniac\",\"female, insomniac\"],\"gender\":[\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\"],\"index\":[0,2,3,4,5,8,9,10,11,12,13,14,15,16,17,20,22,23,24],\"percent correct\":{\"__ndarray__\":\"AAAAAAAgUkAAAAAAACBXQAAAAAAA4FVAAAAAAABAT0AAAAAAAABJQAAAAAAAgFZAAAAAAADAUkAAAAAAAEBPQAAAAAAAwFdAAAAAAAAAVEAAAAAAAABUQAAAAAAAQFBAAAAAAACAUUAAAAAAAIBRQAAAAAAAAFRAAAAAAACAUUAAAAAAAOBVQAAAAAAAgEZAAAAAAACAUUA=\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[19]},\"sleeper\":[\"insomniac\",\"insomniac\",\"insomniac\",\"insomniac\",\"insomniac\",\"insomniac\",\"insomniac\",\"insomniac\",\"insomniac\",\"insomniac\",\"insomniac\",\"insomniac\",\"insomniac\",\"insomniac\",\"insomniac\",\"insomniac\",\"insomniac\",\"insomniac\",\"insomniac\"]},\"selected\":{\"id\":\"3883\"},\"selection_policy\":{\"id\":\"3884\"}},\"id\":\"3870\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"data\":{\"__ECDF\":{\"__ndarray__\":\"GRkZGRkZ6T/x8PDw8PDgP1VVVVVVVdU/7Ovr6+vr6z8ZGRkZGRmpPx4eHh4eHu4/9vX19fX11T99fX19fX3dP42MjIyMjOw/FBQUFBQUxD9QUFBQUFDQP5KRkZGRkeE/Hh4eHh4e3j83Nzc3NzfXP9jX19fX19c/FBQUFBQUhD+Ih4eHh4fnP2RkZGRkZOQ/kpGRkZGR0T+rqqqqqqrqP/v6+vr6+uo/2NfX19fX5z8=\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[22]},\"__label\":[\"male, normal\",\"male, normal\",\"male, normal\",\"male, normal\",\"male, normal\",\"male, normal\",\"male, normal\",\"male, normal\",\"male, normal\",\"male, normal\",\"male, normal\",\"male, normal\",\"male, normal\",\"male, normal\",\"male, normal\",\"male, normal\",\"male, normal\",\"male, normal\",\"male, normal\",\"male, normal\",\"male, normal\",\"male, normal\"],\"gender\":[\"male\",\"male\",\"male\",\"male\",\"male\",\"male\",\"male\",\"male\",\"male\",\"male\",\"male\",\"male\",\"male\",\"male\",\"male\",\"male\",\"male\",\"male\",\"male\",\"male\",\"male\",\"male\"],\"index\":[32,35,36,37,39,42,43,46,48,50,53,54,59,64,68,81,84,90,91,92,93,95],\"percent correct\":{\"__ndarray__\":\"AAAAAACAVkAAAAAAAEBVQAAAAAAAYFNAAAAAAAAgV0AAAAAAAMBMQAAAAAAAwFdAAAAAAABgU0AAAAAAAABUQAAAAAAAIFdAAAAAAADgUEAAAAAAACBSQAAAAAAAQFVAAAAAAAAAVEAAAAAAAGBTQAAAAAAAYFNAAAAAAAAAREAAAAAAAOBVQAAAAAAAQFVAAAAAAAAgUkAAAAAAAIBWQAAAAAAAgFZAAAAAAADgVUA=\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[22]},\"sleeper\":[\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\"]},\"selected\":{\"id\":\"3944\"},\"selection_policy\":{\"id\":\"3945\"}},\"id\":\"3925\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"3853\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"3923\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_multi\":null,\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"3856\"},{\"id\":\"3857\"},{\"id\":\"3858\"},{\"id\":\"3859\"},{\"id\":\"3860\"},{\"id\":\"3861\"}]},\"id\":\"3863\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"3922\",\"type\":\"Selection\"},{\"attributes\":{},\"id\":\"3881\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"3861\",\"type\":\"HelpTool\"},{\"attributes\":{\"source\":{\"id\":\"3887\"}},\"id\":\"3892\",\"type\":\"CDSView\"},{\"attributes\":{},\"id\":\"3856\",\"type\":\"PanTool\"},{\"attributes\":{\"data_source\":{\"id\":\"3887\"},\"glyph\":{\"id\":\"3889\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"3890\"},\"selection_glyph\":null,\"view\":{\"id\":\"3892\"}},\"id\":\"3891\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"overlay\":{\"id\":\"3862\"}},\"id\":\"3858\",\"type\":\"BoxZoomTool\"},{\"attributes\":{\"fill_color\":{\"value\":\"#d62628\"},\"line_color\":{\"value\":\"#d62628\"},\"x\":{\"field\":\"percent correct\"},\"y\":{\"field\":\"__ECDF\"}},\"id\":\"3927\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"3859\",\"type\":\"SaveTool\"},{\"attributes\":{},\"id\":\"3860\",\"type\":\"ResetTool\"},{\"attributes\":{\"data\":{\"__ECDF\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[55]},\"__label\":[\"female, normal\",\"female, normal\",\"female, normal\",\"female, normal\",\"female, normal\",\"female, normal\",\"female, normal\",\"female, normal\",\"female, normal\",\"female, normal\",\"female, normal\",\"female, normal\",\"female, normal\",\"female, normal\",\"female, normal\",\"female, normal\",\"female, normal\",\"female, normal\",\"female, normal\",\"female, normal\",\"female, normal\",\"female, normal\",\"female, normal\",\"female, normal\",\"female, normal\",\"female, normal\",\"female, normal\",\"female, normal\",\"female, normal\",\"female, normal\",\"female, normal\",\"female, normal\",\"female, normal\",\"female, normal\",\"female, normal\",\"female, normal\",\"female, normal\",\"female, normal\",\"female, normal\",\"female, normal\",\"female, normal\",\"female, normal\",\"female, normal\",\"female, normal\",\"female, normal\",\"female, normal\",\"female, normal\",\"female, normal\",\"female, normal\",\"female, normal\",\"female, normal\",\"female, normal\",\"female, normal\",\"female, normal\",\"female, normal\"],\"gender\":[\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\",\"female\"],\"index\":[25,26,27,28,29,30,31,33,34,38,40,41,44,45,47,49,51,52,55,56,57,58,60,61,62,63,65,66,67,69,70,71,72,73,74,75,76,77,78,79,80,82,83,85,86,87,88,89,94,96,97,98,99,100,101],\"percent correct\":{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[55]},\"sleeper\":[\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\",\"normal\"]},\"selected\":{\"id\":\"3922\"},\"selection_policy\":{\"id\":\"3923\"}},\"id\":\"3905\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"data\":{\"__ECDF\":{\"__ndarray__\":\"eHh4eHh46D9fX19fX1/fP5KRkZGRkcE/UFBQUFBQ4D/T0tLS0tLSP7++vr6+vu4/\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[6]},\"__label\":[\"male, insomniac\",\"male, insomniac\",\"male, insomniac\",\"male, insomniac\",\"male, insomniac\",\"male, insomniac\"],\"gender\":[\"male\",\"male\",\"male\",\"male\",\"male\",\"male\"],\"index\":[1,6,7,18,19,21],\"percent correct\":{\"__ndarray__\":\"AAAAAACAVkAAAAAAAKBUQAAAAAAA4FBAAAAAAABAVUAAAAAAAMBSQAAAAAAAYFhA\",\"dtype\":\"float64\",\"order\":\"little\",\"shape\":[6]},\"sleeper\":[\"insomniac\",\"insomniac\",\"insomniac\",\"insomniac\",\"insomniac\",\"insomniac\"]},\"selected\":{\"id\":\"3902\"},\"selection_policy\":{\"id\":\"3903\"}},\"id\":\"3887\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"label\":{\"value\":\"male, normal\"},\"renderers\":[{\"id\":\"3929\"}]},\"id\":\"3946\",\"type\":\"LegendItem\"},{\"attributes\":{},\"id\":\"3903\",\"type\":\"UnionRenderers\"}],\"root_ids\":[\"3839\"]},\"title\":\"Bokeh Application\",\"version\":\"2.2.1\"}};\n",
       "  var render_items = [{\"docid\":\"ac6239ea-e616-4d48-92c3-b5b52481e814\",\"root_ids\":[\"3839\"],\"roots\":{\"3839\":\"fb09f179-f315-4d62-b15c-79d323017843\"}}];\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": "3839"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p = iqplot.ecdf(\n",
    "    data=df,\n",
    "    q='percent correct',\n",
    "    cats=['gender', 'sleeper'],\n",
    "    kind='colored',\n",
    ")\n",
    "\n",
    "p.legend.location = 'top_left'\n",
    "\n",
    "bokeh.io.show(p)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In general, for customization, you should check [the documentation](https://iqplot.github.io/) to see what is available."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Computing environment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPython 3.8.5\n",
      "IPython 7.18.1\n",
      "\n",
      "pandas 1.1.1\n",
      "bokeh 2.2.1\n",
      "iqplot 0.1.6\n",
      "jupyterlab 2.2.6\n"
     ]
    }
   ],
   "source": [
    "%load_ext watermark\n",
    "%watermark -v -p pandas,bokeh,iqplot,jupyterlab"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}