{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "9a51a013-8798-4327-bd2b-5aaf0427cda4",
   "metadata": {},
   "source": [
    "# bifacial_radiance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "50531b9f-821b-4f17-ae11-535b6241dee6",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\KANDERSO\\Software\\Anaconda3\\envs\\dev\\lib\\site-packages\\numpy\\_distributor_init.py:30: UserWarning: loaded more than 1 DLL from .libs:\n",
      "C:\\Users\\KANDERSO\\Software\\Anaconda3\\envs\\dev\\lib\\site-packages\\numpy\\.libs\\libopenblas.EL2C6PLE4ZYW3ECEVIV3OXXGRN2NRFM2.gfortran-win_amd64.dll\n",
      "C:\\Users\\KANDERSO\\Software\\Anaconda3\\envs\\dev\\lib\\site-packages\\numpy\\.libs\\libopenblas.FB5AE2TYXYH2IJRDKGDGQ3XBKLKTF43H.gfortran-win_amd64.dll\n",
      "  warnings.warn(\"loaded more than 1 DLL from .libs:\"\n"
     ]
    }
   ],
   "source": [
    "import utils\n",
    "import pandas as pd\n",
    "\n",
    "from bokeh.plotting import figure, show\n",
    "from bokeh.models import HoverTool\n",
    "from bokeh.transform import jitter\n",
    "from bokeh.io import output_notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "11b65211-a933-4aa2-bc65-e49a22a3d573",
   "metadata": {},
   "outputs": [
    {
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       "        <a href=\"https://bokeh.org\" target=\"_blank\" class=\"bk-logo bk-logo-small bk-logo-notebook\"></a>\n",
       "        <span id=\"1002\">Loading BokehJS ...</span>\n",
       "    </div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
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       "\n",
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       "  const HTML_MIME_TYPE = 'text/html';\n",
       "  const EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n",
       "  const CLASS_NAME = 'output_bokeh rendered_html';\n",
       "\n",
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       "   * Render data to the DOM node\n",
       "   */\n",
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       "    const script = document.createElement(\"script\");\n",
       "    node.appendChild(script);\n",
       "  }\n",
       "\n",
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       "\n",
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       "    // Clean up Bokeh references\n",
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       "      Bokeh.index[id].model.document.clear();\n",
       "      delete Bokeh.index[id];\n",
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       "      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",
       "      const toinsert = this.create_output_subarea(\n",
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       "      );\n",
       "      this.keyboard_manager.register_events(toinsert);\n",
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       "      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",
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       "    /**\n",
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       "\n",
       "  // register the mime type if in Jupyter Notebook environment and previously unregistered\n",
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       "      register_renderer(events, OutputArea);\n",
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       "    root._bokeh_timeout = Date.now() + 5000;\n",
       "    root._bokeh_failed_load = false;\n",
       "  }\n",
       "\n",
       "  const 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",
       "    const el = document.getElementById(\"1002\");\n",
       "    if (el != null) {\n",
       "      el.textContent = \"BokehJS is loading...\";\n",
       "    }\n",
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       "      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",
       "  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(url) {\n",
       "      console.error(\"failed to load \" + url);\n",
       "    }\n",
       "\n",
       "    for (let i = 0; i < css_urls.length; i++) {\n",
       "      const url = css_urls[i];\n",
       "      const element = document.createElement(\"link\");\n",
       "      element.onload = on_load;\n",
       "      element.onerror = on_error.bind(null, url);\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 (let i = 0; i < js_urls.length; i++) {\n",
       "      const url = js_urls[i];\n",
       "      const element = document.createElement('script');\n",
       "      element.onload = on_load;\n",
       "      element.onerror = on_error.bind(null, url);\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",
       "  };\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",
       "  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-2.4.3.min.js\"];\n",
       "  const css_urls = [];\n",
       "\n",
       "  const inline_js = [    function(Bokeh) {\n",
       "      Bokeh.set_log_level(\"info\");\n",
       "    },\n",
       "function(Bokeh) {\n",
       "    }\n",
       "  ];\n",
       "\n",
       "  function run_inline_js() {\n",
       "    if (root.Bokeh !== undefined || force === true) {\n",
       "          for (let i = 0; i < inline_js.length; i++) {\n",
       "      inline_js[i].call(root, root.Bokeh);\n",
       "    }\n",
       "if (force === true) {\n",
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       "    } 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",
       "      const cell = $(document.getElementById(\"1002\")).parents('.cell').data().cell;\n",
       "      cell.output_area.append_execute_result(NB_LOAD_WARNING)\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": "(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  const 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  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  const 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    const el = document.getElementById(\"1002\");\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  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(url) {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (let i = 0; i < css_urls.length; i++) {\n      const url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\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 (let i = 0; i < js_urls.length; i++) {\n      const url = js_urls[i];\n      const element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\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  };\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  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-2.4.3.min.js\"];\n  const css_urls = [];\n\n  const inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {\n    }\n  ];\n\n  function run_inline_js() {\n    if (root.Bokeh !== undefined || force === true) {\n          for (let i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\nif (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      const cell = $(document.getElementById(\"1002\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\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": [
    "output_notebook()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dd70b66b-fb79-4952-b1a0-f70cadf531c9",
   "metadata": {},
   "source": [
    "## ReadTheDocs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "6c7a30e9-97a4-4344-b832-ba526d2836e9",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = utils.get_rtd_analytics_data('bifacial-radiance')\n",
    "data_period = df['Date'].min().strftime('%Y-%m-%d') + ' to ' + df['Date'].max().strftime('%Y-%m-%d')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "9d67be8c-0233-4be3-9d43-c1d3dc1ab39e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "  <div class=\"bk-root\" id=\"4297e113-a650-48bf-9c26-169b2669aa52\" data-root-id=\"1003\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "  const docs_json = {\"0c50fcbc-8e21-4f21-a24c-c5e8157a5a6f\":{\"defs\":[],\"roots\":{\"references\":[{\"attributes\":{\"below\":[{\"id\":\"1014\"}],\"center\":[{\"id\":\"1016\"},{\"id\":\"1020\"}],\"height\":350,\"left\":[{\"id\":\"1017\"}],\"renderers\":[{\"id\":\"1042\"}],\"title\":{\"id\":\"1004\"},\"toolbar\":{\"id\":\"1029\"},\"x_range\":{\"id\":\"1006\"},\"x_scale\":{\"id\":\"1010\"},\"y_range\":{\"id\":\"1008\"},\"y_scale\":{\"id\":\"1012\"}},\"id\":\"1003\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"axis\":{\"id\":\"1014\"},\"coordinates\":null,\"group\":null,\"ticker\":null},\"id\":\"1016\",\"type\":\"Grid\"},{\"attributes\":{\"fill_color\":{\"value\":\"#1f77b4\"},\"line_color\":{\"value\":\"white\"},\"top\":{\"field\":\"Views\"},\"width\":{\"value\":0.75},\"x\":{\"field\":\"Version\"}},\"id\":\"1039\",\"type\":\"VBar\"},{\"attributes\":{\"data\":{\"Version\":[\"latest\",\"stable\"],\"Views\":[5311,466],\"index\":[0,1]},\"selected\":{\"id\":\"1052\"},\"selection_policy\":{\"id\":\"1051\"}},\"id\":\"1037\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"1051\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"hatch_alpha\":{\"value\":0.1},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"white\"},\"top\":{\"field\":\"Views\"},\"width\":{\"value\":0.75},\"x\":{\"field\":\"Version\"}},\"id\":\"1040\",\"type\":\"VBar\"},{\"attributes\":{\"coordinates\":null,\"group\":null,\"text\":\"Page views by RTD version (2022-08-31 to 2022-12-28)\"},\"id\":\"1004\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"1052\",\"type\":\"Selection\"},{\"attributes\":{},\"id\":\"1026\",\"type\":\"HelpTool\"},{\"attributes\":{\"coordinates\":null,\"data_source\":{\"id\":\"1037\"},\"glyph\":{\"id\":\"1039\"},\"group\":null,\"hover_glyph\":null,\"muted_glyph\":{\"id\":\"1041\"},\"nonselection_glyph\":{\"id\":\"1040\"},\"view\":{\"id\":\"1043\"}},\"id\":\"1042\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"1012\",\"type\":\"LinearScale\"},{\"attributes\":{\"axis_label\":\"Total page views\",\"coordinates\":null,\"formatter\":{\"id\":\"1046\"},\"group\":null,\"major_label_policy\":{\"id\":\"1047\"},\"ticker\":{\"id\":\"1018\"}},\"id\":\"1017\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"1010\",\"type\":\"CategoricalScale\"},{\"attributes\":{},\"id\":\"1008\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"1015\",\"type\":\"CategoricalTicker\"},{\"attributes\":{\"factors\":[\"latest\",\"stable\"]},\"id\":\"1006\",\"type\":\"FactorRange\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.2},\"fill_color\":{\"value\":\"#1f77b4\"},\"hatch_alpha\":{\"value\":0.2},\"line_alpha\":{\"value\":0.2},\"line_color\":{\"value\":\"white\"},\"top\":{\"field\":\"Views\"},\"width\":{\"value\":0.75},\"x\":{\"field\":\"Version\"}},\"id\":\"1041\",\"type\":\"VBar\"},{\"attributes\":{\"bottom_units\":\"screen\",\"coordinates\":null,\"fill_alpha\":0.5,\"fill_color\":\"lightgrey\",\"group\":null,\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":1.0,\"line_color\":\"black\",\"line_dash\":[4,4],\"line_width\":2,\"right_units\":\"screen\",\"syncable\":false,\"top_units\":\"screen\"},\"id\":\"1027\",\"type\":\"BoxAnnotation\"},{\"attributes\":{\"source\":{\"id\":\"1037\"}},\"id\":\"1043\",\"type\":\"CDSView\"},{\"attributes\":{},\"id\":\"1046\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"1025\",\"type\":\"ResetTool\"},{\"attributes\":{},\"id\":\"1024\",\"type\":\"SaveTool\"},{\"attributes\":{\"overlay\":{\"id\":\"1027\"}},\"id\":\"1023\",\"type\":\"BoxZoomTool\"},{\"attributes\":{\"tools\":[{\"id\":\"1021\"},{\"id\":\"1022\"},{\"id\":\"1023\"},{\"id\":\"1024\"},{\"id\":\"1025\"},{\"id\":\"1026\"},{\"id\":\"1028\"}]},\"id\":\"1029\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"1021\",\"type\":\"PanTool\"},{\"attributes\":{},\"id\":\"1047\",\"type\":\"AllLabels\"},{\"attributes\":{},\"id\":\"1022\",\"type\":\"WheelZoomTool\"},{\"attributes\":{},\"id\":\"1049\",\"type\":\"CategoricalTickFormatter\"},{\"attributes\":{\"callback\":null,\"tooltips\":[[\"Version\",\"@Version\"],[\"Views\",\"@Views\"]]},\"id\":\"1028\",\"type\":\"HoverTool\"},{\"attributes\":{},\"id\":\"1018\",\"type\":\"BasicTicker\"},{\"attributes\":{\"axis\":{\"id\":\"1017\"},\"coordinates\":null,\"dimension\":1,\"group\":null,\"ticker\":null},\"id\":\"1020\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"1050\",\"type\":\"AllLabels\"},{\"attributes\":{\"coordinates\":null,\"formatter\":{\"id\":\"1049\"},\"group\":null,\"major_label_orientation\":1.57,\"major_label_policy\":{\"id\":\"1050\"},\"ticker\":{\"id\":\"1015\"}},\"id\":\"1014\",\"type\":\"CategoricalAxis\"}],\"root_ids\":[\"1003\"]},\"title\":\"Bokeh Application\",\"version\":\"2.4.3\"}};\n",
       "  const render_items = [{\"docid\":\"0c50fcbc-8e21-4f21-a24c-c5e8157a5a6f\",\"root_ids\":[\"1003\"],\"roots\":{\"1003\":\"4297e113-a650-48bf-9c26-169b2669aa52\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    let attempts = 0;\n",
       "    const 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": [
    "total_by_version = df.groupby('Version')['Views'].sum().reset_index()\n",
    "\n",
    "p = figure(x_range=total_by_version['Version'], height=350, tooltips=[(\"Version\", \"@Version\"), (\"Views\", \"@Views\")],\n",
    "           title=f\"Page views by RTD version ({data_period})\",)\n",
    "p.vbar(x='Version', top='Views', width=0.75, source=total_by_version,\n",
    "       line_color='white')\n",
    "p.xaxis.major_label_orientation = 3.14/2\n",
    "p.yaxis.axis_label = 'Total page views'\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "a8f38d45-b7ff-4a18-872a-ff7fc68a0e0e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "  <div class=\"bk-root\" id=\"1c8cbc22-e5a7-4d26-8a5a-545c2acecf99\" data-root-id=\"1104\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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Application\",\"version\":\"2.4.3\"}};\n",
       "  const render_items = [{\"docid\":\"9dee7082-e3d7-48a7-ab72-b47f940d9d55\",\"root_ids\":[\"1104\"],\"roots\":{\"1104\":\"1c8cbc22-e5a7-4d26-8a5a-545c2acecf99\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    let attempts = 0;\n",
       "    const 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": "1104"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "daily_views = df.pivot_table(values='Views', index='Date', columns='Version', aggfunc='sum')[['stable', 'latest']].fillna(0)\n",
    "\n",
    "p = figure(x_axis_type=\"datetime\", height=350, title=f\"Daily views by RTD version\")\n",
    "hover_tool = HoverTool(tooltips=[('Date', '@x{%Y-%m-%d}'), ('Views', '@y')],\n",
    "                       formatters={'@x': 'datetime'})\n",
    "hover_tool.point_policy = 'snap_to_data'\n",
    "p.add_tools(hover_tool)\n",
    "p.line(daily_views.index, daily_views['stable'], legend_label='stable')\n",
    "p.line(daily_views.index, daily_views['latest'], legend_label='latest', color='#ff7f0e')\n",
    "p.yaxis.axis_label = 'Daily page views'\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "a0aa3c3b-740c-4a23-86de-08f892141293",
   "metadata": {},
   "outputs": [],
   "source": [
    "df2 = df.loc[(df['Version'] == 'latest'), :].copy()\n",
    "pathviews = df2.groupby('Path')['Views'].sum().reset_index()\n",
    "pathviews['Path'] = pathviews['Path'].str.replace('%20', ' ')\n",
    "pathviews['Path'] = pathviews['Path'].str[:60]  # excessively long labels break the plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "f803c329-802f-4b0b-9a2c-01831927facf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "  <div class=\"bk-root\" id=\"680b2683-afdf-4339-9972-a2235063ccd5\" data-root-id=\"1354\"></div>\n"
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "  function embed_document(root) {\n",
       "  const docs_json = {\"63b9b65c-020f-4955-8237-141668dfbb9d\":{\"defs\":[],\"roots\":{\"references\":[{\"attributes\":{\"below\":[{\"id\":\"1365\"}],\"center\":[{\"id\":\"1368\"},{\"id\":\"1371\"}],\"height\":400,\"left\":[{\"id\":\"1369\"}],\"renderers\":[{\"id\":\"1393\"}],\"title\":{\"id\":\"1355\"},\"toolbar\":{\"id\":\"1380\"},\"x_range\":{\"id\":\"1357\"},\"x_scale\":{\"id\":\"1361\"},\"y_range\":{\"id\":\"1359\"},\"y_scale\":{\"id\":\"1363\"}},\"id\":\"1354\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"1357\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"1434\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"hatch_alpha\":{\"value\":0.1},\"height\":{\"value\":0.75},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"white\"},\"right\":{\"field\":\"Views\"},\"y\":{\"field\":\"Path\"}},\"id\":\"1391\",\"type\":\"HBar\"},{\"attributes\":{},\"id\":\"1435\",\"type\":\"AllLabels\"},{\"attributes\":{\"factors\":[\"/index.html\",\"/search.html\",\"/_modules/bifacial_radiance/main.html\",\"/manualapi.html\",\"/tutorials/1 - 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       "  const render_items = [{\"docid\":\"63b9b65c-020f-4955-8237-141668dfbb9d\",\"root_ids\":[\"1354\"],\"roots\":{\"1354\":\"680b2683-afdf-4339-9972-a2235063ccd5\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    let attempts = 0;\n",
       "    const 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": "1354"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "n = 20\n",
    "subset = pathviews.sort_values('Views', ascending=False)[:n]\n",
    "p = figure(y_range=subset['Path'], height=400, tooltips=[(\"URL\", \"@Path\"), (\"Views\", \"@Views\")],\n",
    "           title=f\"Views by URL (Top {n}, {data_period})\")\n",
    "p.hbar(y='Path', right='Views', source=subset, height=0.75,\n",
    "       line_color='white')\n",
    "p.xaxis.axis_label = 'Total page views'\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "6b895337-23de-4bc3-864d-70a9da9d5cff",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "  <div class=\"bk-root\" id=\"92a18c4f-eae6-4f35-bb2c-41459c414f15\" data-root-id=\"1489\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
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       "  if (root.Bokeh !== undefined) {\n",
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       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
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       "    }, 10, root)\n",
       "  }\n",
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      "application/vnd.bokehjs_exec.v0+json": ""
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    "groupviews = pathviews.loc[pathviews['Prefix'].isin(prefixes), :].groupby('Prefix')['Views'].sum().loc[prefixes].sort_values().reset_index()\n",
    "\n",
    "p = figure(x_range=groupviews['Prefix'], height=350, tooltips=[(\"Section\", \"@Prefix\"), (\"Views\", \"@Views\")],\n",
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   "cell_type": "code",
   "execution_count": 9,
   "id": "6399c472-c806-4e83-be90-5a851eb47ef3",
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       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
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       "  if (root.Bokeh !== undefined) {\n",
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       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
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       "    }, 10, root)\n",
       "  }\n",
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      "application/vnd.bokehjs_exec.v0+json": ""
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   "source": [
    "subset = pathviews.loc[pathviews['Prefix'].isin(prefixes), :]\n",
    "\n",
    "p = figure(x_range=prefixes, height=350, tooltips=[(\"URL\", \"@Path\"), (\"Views\", \"@Views\")],\n",
    "           title=f\"Page views by docs page ({data_period})\")\n",
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    "          y='Views', source=subset)\n",
    "p.yaxis.axis_label = 'Total page views'\n",
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  {
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   "execution_count": 10,
   "id": "63618a6b-540f-4f4a-901b-e01f05e07f8c",
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   "source": [
    "## GitHub"
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   "id": "5d8554e2-ab50-47d1-80e1-0e61669e223d",
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   "outputs": [],
   "source": [
    "gh = utils.get_github_stars('nrel/bifacial_radiance')"
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   "execution_count": 12,
   "id": "73adb55d-8103-405f-85f3-aeb8c7e20380",
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Stars\",\"coordinates\":null,\"formatter\":{\"id\":\"2256\"},\"group\":null,\"major_label_policy\":{\"id\":\"2257\"},\"ticker\":{\"id\":\"2144\"}},\"id\":\"2143\",\"type\":\"LinearAxis\"},{\"attributes\":{\"axis\":{\"id\":\"2143\"},\"coordinates\":null,\"dimension\":1,\"group\":null,\"ticker\":null},\"id\":\"2146\",\"type\":\"Grid\"},{\"attributes\":{\"base\":60,\"mantissas\":[1,2,5,10,15,20,30],\"max_interval\":1800000.0,\"min_interval\":1000.0,\"num_minor_ticks\":0},\"id\":\"2265\",\"type\":\"AdaptiveTicker\"},{\"attributes\":{\"days\":[1,8,15,22]},\"id\":\"2269\",\"type\":\"DaysTicker\"},{\"attributes\":{},\"id\":\"2137\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"2148\",\"type\":\"WheelZoomTool\"},{\"attributes\":{\"coordinates\":null,\"data_source\":{\"id\":\"2163\"},\"glyph\":{\"id\":\"2164\"},\"group\":null,\"hover_glyph\":null,\"muted_glyph\":{\"id\":\"2166\"},\"nonselection_glyph\":{\"id\":\"2165\"},\"view\":{\"id\":\"2168\"}},\"id\":\"2167\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"2147\",\"type\":\"PanTool\"},{\"attributes\":{\"num_minor_ticks\":5,\"tickers\":[{\"id\":\"2264\"},{\"id\":\"2265\"},{\"id\":\"2266\"},{\"id\":\"2267\"},{\"id\":\"2268\"},{\"id\":\"2269\"},{\"id\":\"2270\"},{\"id\":\"2271\"},{\"id\":\"2272\"},{\"id\":\"2273\"},{\"id\":\"2274\"},{\"id\":\"2275\"}]},\"id\":\"2140\",\"type\":\"DatetimeTicker\"},{\"attributes\":{\"line_alpha\":0.2,\"line_color\":\"#1f77b4\",\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"2166\",\"type\":\"Line\"},{\"attributes\":{},\"id\":\"2135\",\"type\":\"LinearScale\"},{\"attributes\":{\"axis\":{\"id\":\"2139\"},\"coordinates\":null,\"group\":null,\"ticker\":null},\"id\":\"2142\",\"type\":\"Grid\"},{\"attributes\":{\"line_color\":\"#1f77b4\",\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"2164\",\"type\":\"Line\"},{\"attributes\":{},\"id\":\"2131\",\"type\":\"DataRange1d\"},{\"attributes\":{\"days\":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31]},\"id\":\"2267\",\"type\":\"DaysTicker\"},{\"attributes\":{},\"id\":\"2133\",\"type\":\"DataRange1d\"},{\"attributes\":{\"callback\":null,\"formatters\":{\"@x\":\"datetime\"},\"tooltips\":[[\"Date\",\"@x{%Y-%m-%d}\"],[\"Total Stars\",\"@y\"]]},\"id\":\"2161\",\"type\":\"HoverTool\"},{\"attributes\":{},\"id\":\"2150\",\"type\":\"SaveTool\"}],\"root_ids\":[\"2130\"]},\"title\":\"Bokeh Application\",\"version\":\"2.4.3\"}};\n",
       "  const render_items = [{\"docid\":\"f0b3bf9b-bc75-4b0d-8248-a0000335a2a4\",\"root_ids\":[\"2130\"],\"roots\":{\"2130\":\"082335cd-cea3-42fa-8f0b-9a4939ea9b22\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    let attempts = 0;\n",
       "    const 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": "2130"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p = utils.plot_github_stars_timeseries(gh)\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "c03583c1-3635-4473-9a93-d9a80a3cf1f5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "  <div class=\"bk-root\" id=\"4685c517-07c1-49d4-b97e-ed565521148d\" data-root-id=\"2391\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "  const docs_json = 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Contributors\",\"@y\"]]},\"id\":\"2422\",\"type\":\"HoverTool\"},{\"attributes\":{},\"id\":\"2398\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"2409\",\"type\":\"WheelZoomTool\"},{\"attributes\":{\"axis\":{\"id\":\"2400\"},\"coordinates\":null,\"group\":null,\"ticker\":null},\"id\":\"2403\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"2544\",\"type\":\"AllLabels\"},{\"attributes\":{},\"id\":\"2405\",\"type\":\"BasicTicker\"},{\"attributes\":{\"axis_label\":\"Total Contributors\",\"coordinates\":null,\"formatter\":{\"id\":\"2540\"},\"group\":null,\"major_label_policy\":{\"id\":\"2541\"},\"ticker\":{\"id\":\"2405\"}},\"id\":\"2404\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"2412\",\"type\":\"ResetTool\"},{\"attributes\":{},\"id\":\"2394\",\"type\":\"DataRange1d\"},{\"attributes\":{\"mantissas\":[1,2,5],\"max_interval\":500.0,\"num_minor_ticks\":0},\"id\":\"2548\",\"type\":\"AdaptiveTicker\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"#1f77b4\",\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"2426\",\"type\":\"Line\"},{\"attributes\":{\"base\":60,\"mantissas\":[1,2,5,10,15,20,30],\"max_interval\":1800000.0,\"min_interval\":1000.0,\"num_minor_ticks\":0},\"id\":\"2549\",\"type\":\"AdaptiveTicker\"}],\"root_ids\":[\"2391\"]},\"title\":\"Bokeh Application\",\"version\":\"2.4.3\"}};\n",
       "  const render_items = [{\"docid\":\"77d1b7ce-9b7b-4c20-917e-81a2e0cc9cc1\",\"root_ids\":[\"2391\"],\"roots\":{\"2391\":\"4685c517-07c1-49d4-b97e-ed565521148d\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    let attempts = 0;\n",
       "    const 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": "2391"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "contributor_ts, _ = utils.get_github_contributor_timeseries(\"nrel/bifacial_radiance\")\n",
    "p = utils.plot_github_contributors_timeseries(contributor_ts)\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "08c8ed05-05cd-43a6-951d-e4bc8c1c4648",
   "metadata": {},
   "outputs": [],
   "source": [
    "contributors = utils.get_github_contributors('nrel/bifacial_radiance')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "19c07578-4c07-434b-a6ff-6e4d0164ba72",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGBA size=645x125 at 0x1879B1E3D00>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mosaic = utils.make_github_contributors_mosaic(contributors)\n",
    "mosaic"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.9.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}