panel_practice.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Panel Practice\n",
    "A practice to use [Panel](https://panel.holoviz.org/index.html) and [Plotly](https://plotly.com/python/) to create a simple stock price dashboard app."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import datetime\n",
    "import pandas as pd\n",
    "import plotly.graph_objects as go"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Stock Market Dataset\n",
    "* Downloaded from Kaggle: [Stock Market Dataset](https://www.kaggle.com/jacksoncrow/stock-market-dataset)\n",
    "* This dataset contain historical daily prices for all tickers currently trading on NASDAQ.\n",
    "* In this pratice I only use 5 tickers (APPL, AMZN, FB, GOOGL, MSFT) for panel demostration."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['AAPL.csv', 'AMZN.csv', 'FB.csv', 'GOOGL.csv', 'MSFT.csv']"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "files = os.listdir('data')\n",
    "files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Read and Preprocessing Data\n",
    "AAFMG = []\n",
    "for f in files:\n",
    "    data = pd.read_csv('data/' + f)\n",
    "    data['Symbol'] = f.replace('.csv', '')\n",
    "    AAFMG.append(data)\n",
    "AAFMG = pd.concat(AAFMG)\n",
    "AAFMG['Date'] = pd.to_datetime(AAFMG['Date'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
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       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>Symbol</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1980-12-12</td>\n",
       "      <td>0.513393</td>\n",
       "      <td>0.515625</td>\n",
       "      <td>0.513393</td>\n",
       "      <td>0.513393</td>\n",
       "      <td>0.406782</td>\n",
       "      <td>117258400</td>\n",
       "      <td>AAPL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1980-12-15</td>\n",
       "      <td>0.488839</td>\n",
       "      <td>0.488839</td>\n",
       "      <td>0.486607</td>\n",
       "      <td>0.486607</td>\n",
       "      <td>0.385558</td>\n",
       "      <td>43971200</td>\n",
       "      <td>AAPL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1980-12-16</td>\n",
       "      <td>0.453125</td>\n",
       "      <td>0.453125</td>\n",
       "      <td>0.450893</td>\n",
       "      <td>0.450893</td>\n",
       "      <td>0.357260</td>\n",
       "      <td>26432000</td>\n",
       "      <td>AAPL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1980-12-17</td>\n",
       "      <td>0.462054</td>\n",
       "      <td>0.464286</td>\n",
       "      <td>0.462054</td>\n",
       "      <td>0.462054</td>\n",
       "      <td>0.366103</td>\n",
       "      <td>21610400</td>\n",
       "      <td>AAPL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1980-12-18</td>\n",
       "      <td>0.475446</td>\n",
       "      <td>0.477679</td>\n",
       "      <td>0.475446</td>\n",
       "      <td>0.475446</td>\n",
       "      <td>0.376715</td>\n",
       "      <td>18362400</td>\n",
       "      <td>AAPL</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Date      Open      High       Low     Close  Adj Close     Volume  \\\n",
       "0 1980-12-12  0.513393  0.515625  0.513393  0.513393   0.406782  117258400   \n",
       "1 1980-12-15  0.488839  0.488839  0.486607  0.486607   0.385558   43971200   \n",
       "2 1980-12-16  0.453125  0.453125  0.450893  0.450893   0.357260   26432000   \n",
       "3 1980-12-17  0.462054  0.464286  0.462054  0.462054   0.366103   21610400   \n",
       "4 1980-12-18  0.475446  0.477679  0.475446  0.475446   0.376715   18362400   \n",
       "\n",
       "  Symbol  \n",
       "0   AAPL  \n",
       "1   AAPL  \n",
       "2   AAPL  \n",
       "3   AAPL  \n",
       "4   AAPL  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check Data\n",
    "AAFMG.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Before using Panel:\n",
    "We can write a function that shows the price trend, moving average curve with parameters: symbol, value to observe, and window of moving average."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_plot(symbol = 'AAPL', value = 'Close', window = 30):\n",
    "    df = AAFMG.loc[AAFMG['Symbol'] == symbol]\n",
    "    df = df.sort_values('Date')\n",
    "    df['MA'] = df[value].rolling(window = window).mean()\n",
    "    df = df.loc[(df['Date'] >= '2017-04-01') & (df['Date'] <= '2020-04-01')]\n",
    "    \n",
    "    fig = go.Figure(layout = go.Layout(plot_bgcolor = '#EEEEEE'))\n",
    "    fig.add_trace(go.Scatter(\n",
    "        x = df[\"Date\"], y = df[value],\n",
    "        name = '%s/%s' %(symbol, value),\n",
    "        fill = 'tozeroy',\n",
    "        line_width = 0,\n",
    "        line_color = 'rgba(72,89,110,1)',\n",
    "        fillcolor = 'rgba(72,89,110,0.8)',\n",
    "    ))\n",
    "    fig.add_trace(go.Scatter(\n",
    "        x = df[\"Date\"], y = df[\"MA\"],\n",
    "        name = '%s/%s/MA%d' %(symbol, value, window),\n",
    "        mode = \"lines\",\n",
    "        line_color = '#a57571',\n",
    "        line_width = 2.5\n",
    "    ))\n",
    "    fig.update_layout(\n",
    "        width = 600, height = 400,\n",
    "        margin=dict(l = 20, r = 20, t = 20, b = 20),\n",
    "        legend = dict(\n",
    "            orientation = \"h\",\n",
    "            yanchor = \"bottom\",\n",
    "            y = 1.02,\n",
    "            xanchor = \"right\",\n",
    "            x = 1\n",
    "        )\n",
    "    )\n",
    "    \n",
    "    return fig"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
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        "plotlyServerURL": "https://plot.ly"
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\"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"heatmapgl\"}], \"histogram\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"histogram\"}], \"histogram2d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2d\"}], \"histogram2dcontour\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"histogram2dcontour\"}], \"mesh3d\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"type\": \"mesh3d\"}], \"parcoords\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"parcoords\"}], \"pie\": [{\"automargin\": true, \"type\": \"pie\"}], \"scatter\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter\"}], \"scatter3d\": [{\"line\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatter3d\"}], \"scattercarpet\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattercarpet\"}], \"scattergeo\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergeo\"}], \"scattergl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattergl\"}], \"scattermapbox\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scattermapbox\"}], \"scatterpolar\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolar\"}], \"scatterpolargl\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterpolargl\"}], \"scatterternary\": [{\"marker\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"type\": \"scatterternary\"}], \"surface\": [{\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}, \"colorscale\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"type\": \"surface\"}], \"table\": [{\"cells\": {\"fill\": {\"color\": \"#EBF0F8\"}, \"line\": {\"color\": \"white\"}}, \"header\": {\"fill\": {\"color\": \"#C8D4E3\"}, \"line\": {\"color\": \"white\"}}, \"type\": \"table\"}]}, \"layout\": {\"annotationdefaults\": {\"arrowcolor\": \"#2a3f5f\", \"arrowhead\": 0, \"arrowwidth\": 1}, \"autotypenumbers\": \"strict\", \"coloraxis\": {\"colorbar\": {\"outlinewidth\": 0, \"ticks\": \"\"}}, \"colorscale\": {\"diverging\": [[0, \"#8e0152\"], [0.1, \"#c51b7d\"], [0.2, \"#de77ae\"], [0.3, \"#f1b6da\"], [0.4, \"#fde0ef\"], [0.5, \"#f7f7f7\"], [0.6, \"#e6f5d0\"], [0.7, \"#b8e186\"], [0.8, \"#7fbc41\"], [0.9, \"#4d9221\"], [1, \"#276419\"]], \"sequential\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"width\": 600},                        {\"responsive\": true}                    ).then(function(){\n",
       "                            \n",
       "var gd = document.getElementById('8808c8e3-d332-46c3-a734-63a2bf4884e3');\n",
       "var x = new MutationObserver(function (mutations, observer) {{\n",
       "        var display = window.getComputedStyle(gd).display;\n",
       "        if (!display || display === 'none') {{\n",
       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
       "var notebookContainer = gd.closest('#notebook-container');\n",
       "if (notebookContainer) {{\n",
       "    x.observe(notebookContainer, {childList: true});\n",
       "}}\n",
       "\n",
       "// Listen for the clearing of the current output cell\n",
       "var outputEl = gd.closest('.output');\n",
       "if (outputEl) {{\n",
       "    x.observe(outputEl, {childList: true});\n",
       "}}\n",
       "\n",
       "                        })                };                });            </script>        </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "get_plot(symbol = 'AAPL', value = 'Close', window = 30)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It works, but exploring all symbols, values, and different window size by passing arguments to this function is tedious and too manual. User may not have ability to use your python function."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Start using Panel:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "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",
       "  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "    root._bokeh_timeout = Date.now() + 5000;\n",
       "    root._bokeh_failed_load = false;\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",
       "    var skip = [];\n",
       "    if (window.requirejs) {\n",
       "      window.requirejs.config({'paths': {'plotly': 'https://cdn.plot.ly/plotly-latest.min'}});\n",
       "      require([\"plotly\"], function(Plotly,) {\n",
       "        window.Plotly = Plotly;\n",
       "      })\n",
       "    }\n",
       "    if (((window['Plotly'] !== undefined) && (!(window['Plotly'] instanceof HTMLElement))) || window.requirejs) {\n",
       "      var urls = ['https://cdn.plot.ly/plotly-latest.min.js'];\n",
       "      for (var i = 0; i < urls.length; i++) {\n",
       "        skip.push(urls[i])\n",
       "      }\n",
       "    }\n",
       "    for (var i = 0; i < js_urls.length; i++) {\n",
       "      var url = js_urls[i];\n",
       "      if (skip.indexOf(url) >= 0) { on_load(); continue; }\n",
       "      var element = document.createElement('script');\n",
       "      element.onload = on_load;\n",
       "      element.onerror = on_error;\n",
       "      element.async = false;\n",
       "      element.src = url;\n",
       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "      document.head.appendChild(element);\n",
       "    }\n",
       "\tif (!js_urls.length) {\n",
       "      on_load()\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",
       "  var js_urls = [\"https://code.jquery.com/jquery-3.4.1.min.js\", \"https://cdn.plot.ly/plotly-latest.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-2.2.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.2.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.2.3.min.js\", \"https://unpkg.com/@holoviz/panel@^0.10.2/dist/panel.min.js\"];\n",
       "  var css_urls = [\"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/alerts.css\", \"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/card.css\", \"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/dataframe.css\", \"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/json.css\", \"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/markdown.css\", \"https://unpkg.com/@holoviz/panel@0.10.2/dist/css/widgets.css\"];\n",
       "\n",
       "  var inline_js = [\n",
       "    function(Bokeh) {\n",
       "      Bokeh.set_log_level(\"info\");\n",
       "    },\n",
       "    function(Bokeh) {} // ensure no trailing comma for IE\n",
       "  ];\n",
       "\n",
       "  function run_inline_js() {\n",
       "    if ((root.Bokeh !== undefined) || (force === true)) {\n",
       "      for (var i = 0; i < inline_js.length; i++) {\n",
       "        inline_js[i].call(root, root.Bokeh);\n",
       "      }} 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",
       "    }\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.holoviews_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  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\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    var skip = [];\n    if (window.requirejs) {\n      window.requirejs.config({'paths': {'plotly': 'https://cdn.plot.ly/plotly-latest.min'}});\n      require([\"plotly\"], function(Plotly,) {\n        window.Plotly = Plotly;\n      })\n    }\n    if (((window['Plotly'] !== undefined) && (!(window['Plotly'] instanceof HTMLElement))) || window.requirejs) {\n      var urls = ['https://cdn.plot.ly/plotly-latest.min.js'];\n      for (var i = 0; i < urls.length; i++) {\n        skip.push(urls[i])\n      }\n    }\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      if (skip.indexOf(url) >= 0) { on_load(); 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scripts.forEach( function (oldScript) {\n      var newScript = document.createElement(\"script\");\n      var attrs = [];\n      var nodemap = oldScript.attributes;\n      for (var j in nodemap) {\n        if (nodemap.hasOwnProperty(j)) {\n          attrs.push(nodemap[j])\n        }\n      }\n      attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n      newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n      oldScript.parentNode.replaceChild(newScript, oldScript);\n    });\n    if (JS_MIME_TYPE in output.data) {\n      toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n    }\n    output_area._hv_plot_id = id;\n    if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n      window.PyViz.plot_index[id] = Bokeh.index[id];\n    } else {\n      window.PyViz.plot_index[id] = null;\n    }\n  } else 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].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n    }\n    // store reference to server id on output_area\n    output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n  }\n}\n\n/**\n * Handle when an output is cleared or removed\n */\nfunction handle_clear_output(event, handle) {\n  var id = handle.cell.output_area._hv_plot_id;\n  var server_id = handle.cell.output_area._bokeh_server_id;\n  if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n  var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n  if (server_id !== null) {\n    comm.send({event_type: 'server_delete', 'id': server_id});\n    return;\n  } else if (comm !== null) {\n    comm.send({event_type: 'delete', 'id': id});\n  }\n  delete PyViz.plot_index[id];\n  if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n    var doc = window.Bokeh.index[id].model.document\n    doc.clear();\n    const i = window.Bokeh.documents.indexOf(doc);\n    if (i > -1) {\n      window.Bokeh.documents.splice(i, 1);\n    }\n  }\n}\n\n/**\n * Handle kernel restart event\n */\nfunction handle_kernel_cleanup(event, handle) {\n  delete PyViz.comms[\"hv-extension-comm\"];\n  window.PyViz.plot_index = {}\n}\n\n/**\n * Handle update_display_data messages\n */\nfunction handle_update_output(event, handle) {\n  handle_clear_output(event, {cell: {output_area: handle.output_area}})\n  handle_add_output(event, handle)\n}\n\nfunction register_renderer(events, OutputArea) {\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[0]);\n    element.append(toinsert);\n    return toinsert\n  }\n\n  events.on('output_added.OutputArea', handle_add_output);\n  events.on('output_updated.OutputArea', handle_update_output);\n  events.on('clear_output.CodeCell', handle_clear_output);\n  events.on('delete.Cell', handle_clear_output);\n  events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n\n  OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n    safe: true,\n    index: 0\n  });\n}\n\nif (window.Jupyter !== undefined) {\n  try {\n    var events = require('base/js/events');\n    var OutputArea = require('notebook/js/outputarea').OutputArea;\n    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n      register_renderer(events, OutputArea);\n    }\n  } catch(err) {\n  }\n}\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import panel as pn\n",
    "pn.extension(\"plotly\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "we can easily turn our python function into interactive graph with `pn.interact()`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<pre>Traceback (most recent call last):\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\pyviz_comms\\__init__.py&quot;, line 316, in _handle_msg\n",
       "    self._on_msg(msg)\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\panel\\viewable.py&quot;, line 259, in _on_msg\n",
       "    doc.unhold()\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\bokeh\\document\\document.py&quot;, line 668, in unhold\n",
       "    self._trigger_on_change(event)\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\bokeh\\document\\document.py&quot;, line 1151, in _trigger_on_change\n",
       "    self._with_self_as_curdoc(event.callback_invoker)\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\bokeh\\document\\document.py&quot;, line 1169, in _with_self_as_curdoc\n",
       "    return f()\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\bokeh\\util\\callback_manager.py&quot;, line 155, in invoke\n",
       "    callback(attr, old, new)\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\panel\\reactive.py&quot;, line 216, in _comm_change\n",
       "    self._process_events({attr: new})\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\panel\\reactive.py&quot;, line 187, in _process_events\n",
       "    self.param.set_param(**self._process_property_change(events))\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\param\\parameterized.py&quot;, line 1451, in set_param\n",
       "    self_._batch_call_watchers()\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\param\\parameterized.py&quot;, line 1578, in _batch_call_watchers\n",
       "    watcher.fn(*events)\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\panel\\interact.py&quot;, line 191, in update_pane\n",
       "    new_object = self.object(**self.kwargs)\n",
       "  File &quot;&lt;ipython-input-5-24a12858cf71&gt;&quot;, line 4, in get_plot\n",
       "    df[&#x27;MA&#x27;] = df[value].rolling(window = window).mean()\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\pandas\\core\\generic.py&quot;, line 10542, in rolling\n",
       "    closed=closed,\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\pandas\\core\\window\\rolling.py&quot;, line 169, in __init__\n",
       "    self.validate()\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\pandas\\core\\window\\rolling.py&quot;, line 1965, in validate\n",
       "    raise ValueError(&quot;window must be non-negative&quot;)\n",
       "ValueError: window must be non-negative\n",
       "</pre>\n",
       "\n",
       "\n",
       "<pre>Traceback (most recent call last):\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\pyviz_comms\\__init__.py&quot;, line 316, in _handle_msg\n",
       "    self._on_msg(msg)\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\panel\\viewable.py&quot;, line 259, in _on_msg\n",
       "    doc.unhold()\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\bokeh\\document\\document.py&quot;, line 668, in unhold\n",
       "    self._trigger_on_change(event)\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\bokeh\\document\\document.py&quot;, line 1151, in _trigger_on_change\n",
       "    self._with_self_as_curdoc(event.callback_invoker)\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\bokeh\\document\\document.py&quot;, line 1169, in _with_self_as_curdoc\n",
       "    return f()\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\bokeh\\util\\callback_manager.py&quot;, line 155, in invoke\n",
       "    callback(attr, old, new)\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\panel\\reactive.py&quot;, line 216, in _comm_change\n",
       "    self._process_events({attr: new})\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\panel\\reactive.py&quot;, line 187, in _process_events\n",
       "    self.param.set_param(**self._process_property_change(events))\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\param\\parameterized.py&quot;, line 1451, in set_param\n",
       "    self_._batch_call_watchers()\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\param\\parameterized.py&quot;, line 1578, in _batch_call_watchers\n",
       "    watcher.fn(*events)\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\panel\\interact.py&quot;, line 191, in update_pane\n",
       "    new_object = self.object(**self.kwargs)\n",
       "  File &quot;&lt;ipython-input-5-24a12858cf71&gt;&quot;, line 4, in get_plot\n",
       "    df[&#x27;MA&#x27;] = df[value].rolling(window = window).mean()\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\pandas\\core\\generic.py&quot;, line 10542, in rolling\n",
       "    closed=closed,\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\pandas\\core\\window\\rolling.py&quot;, line 169, in __init__\n",
       "    self.validate()\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\pandas\\core\\window\\rolling.py&quot;, line 1965, in validate\n",
       "    raise ValueError(&quot;window must be non-negative&quot;)\n",
       "ValueError: window must be non-negative\n",
       "</pre>\n",
       "\n",
       "\n",
       "<pre>Traceback (most recent call last):\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\pyviz_comms\\__init__.py&quot;, line 316, in _handle_msg\n",
       "    self._on_msg(msg)\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\panel\\viewable.py&quot;, line 259, in _on_msg\n",
       "    doc.unhold()\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\bokeh\\document\\document.py&quot;, line 668, in unhold\n",
       "    self._trigger_on_change(event)\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\bokeh\\document\\document.py&quot;, line 1151, in _trigger_on_change\n",
       "    self._with_self_as_curdoc(event.callback_invoker)\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\bokeh\\document\\document.py&quot;, line 1169, in _with_self_as_curdoc\n",
       "    return f()\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\bokeh\\util\\callback_manager.py&quot;, line 155, in invoke\n",
       "    callback(attr, old, new)\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\panel\\reactive.py&quot;, line 216, in _comm_change\n",
       "    self._process_events({attr: new})\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\panel\\reactive.py&quot;, line 187, in _process_events\n",
       "    self.param.set_param(**self._process_property_change(events))\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\param\\parameterized.py&quot;, line 1451, in set_param\n",
       "    self_._batch_call_watchers()\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\param\\parameterized.py&quot;, line 1578, in _batch_call_watchers\n",
       "    watcher.fn(*events)\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\panel\\interact.py&quot;, line 191, in update_pane\n",
       "    new_object = self.object(**self.kwargs)\n",
       "  File &quot;&lt;ipython-input-5-24a12858cf71&gt;&quot;, line 4, in get_plot\n",
       "    df[&#x27;MA&#x27;] = df[value].rolling(window = window).mean()\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\pandas\\core\\generic.py&quot;, line 10542, in rolling\n",
       "    closed=closed,\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\pandas\\core\\window\\rolling.py&quot;, line 169, in __init__\n",
       "    self.validate()\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\pandas\\core\\window\\rolling.py&quot;, line 1965, in validate\n",
       "    raise ValueError(&quot;window must be non-negative&quot;)\n",
       "ValueError: window must be non-negative\n",
       "</pre>\n",
       "\n",
       "\n",
       "<pre>Traceback (most recent call last):\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\pyviz_comms\\__init__.py&quot;, line 316, in _handle_msg\n",
       "    self._on_msg(msg)\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\panel\\viewable.py&quot;, line 259, in _on_msg\n",
       "    doc.unhold()\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\bokeh\\document\\document.py&quot;, line 668, in unhold\n",
       "    self._trigger_on_change(event)\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\bokeh\\document\\document.py&quot;, line 1151, in _trigger_on_change\n",
       "    self._with_self_as_curdoc(event.callback_invoker)\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\bokeh\\document\\document.py&quot;, line 1169, in _with_self_as_curdoc\n",
       "    return f()\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\bokeh\\util\\callback_manager.py&quot;, line 155, in invoke\n",
       "    callback(attr, old, new)\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\panel\\reactive.py&quot;, line 216, in _comm_change\n",
       "    self._process_events({attr: new})\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\panel\\reactive.py&quot;, line 187, in _process_events\n",
       "    self.param.set_param(**self._process_property_change(events))\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\param\\parameterized.py&quot;, line 1451, in set_param\n",
       "    self_._batch_call_watchers()\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\param\\parameterized.py&quot;, line 1578, in _batch_call_watchers\n",
       "    watcher.fn(*events)\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\panel\\interact.py&quot;, line 191, in update_pane\n",
       "    new_object = self.object(**self.kwargs)\n",
       "  File &quot;&lt;ipython-input-5-24a12858cf71&gt;&quot;, line 4, in get_plot\n",
       "    df[&#x27;MA&#x27;] = df[value].rolling(window = window).mean()\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\pandas\\core\\generic.py&quot;, line 10542, in rolling\n",
       "    closed=closed,\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\pandas\\core\\window\\rolling.py&quot;, line 169, in __init__\n",
       "    self.validate()\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\pandas\\core\\window\\rolling.py&quot;, line 1965, in validate\n",
       "    raise ValueError(&quot;window must be non-negative&quot;)\n",
       "ValueError: window must be non-negative\n",
       "</pre>\n",
       "\n",
       "\n",
       "<pre>Traceback (most recent call last):\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\pyviz_comms\\__init__.py&quot;, line 316, in _handle_msg\n",
       "    self._on_msg(msg)\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\panel\\viewable.py&quot;, line 259, in _on_msg\n",
       "    doc.unhold()\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\bokeh\\document\\document.py&quot;, line 668, in unhold\n",
       "    self._trigger_on_change(event)\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\bokeh\\document\\document.py&quot;, line 1151, in _trigger_on_change\n",
       "    self._with_self_as_curdoc(event.callback_invoker)\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\bokeh\\document\\document.py&quot;, line 1169, in _with_self_as_curdoc\n",
       "    return f()\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\bokeh\\util\\callback_manager.py&quot;, line 155, in invoke\n",
       "    callback(attr, old, new)\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\panel\\reactive.py&quot;, line 216, in _comm_change\n",
       "    self._process_events({attr: new})\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\panel\\reactive.py&quot;, line 187, in _process_events\n",
       "    self.param.set_param(**self._process_property_change(events))\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\param\\parameterized.py&quot;, line 1451, in set_param\n",
       "    self_._batch_call_watchers()\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\param\\parameterized.py&quot;, line 1578, in _batch_call_watchers\n",
       "    watcher.fn(*events)\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\panel\\interact.py&quot;, line 191, in update_pane\n",
       "    new_object = self.object(**self.kwargs)\n",
       "  File &quot;&lt;ipython-input-5-24a12858cf71&gt;&quot;, line 4, in get_plot\n",
       "    df[&#x27;MA&#x27;] = df[value].rolling(window = window).mean()\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\pandas\\core\\generic.py&quot;, line 10542, in rolling\n",
       "    closed=closed,\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\pandas\\core\\window\\rolling.py&quot;, line 169, in __init__\n",
       "    self.validate()\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\pandas\\core\\window\\rolling.py&quot;, line 1965, in validate\n",
       "    raise ValueError(&quot;window must be non-negative&quot;)\n",
       "ValueError: window must be non-negative\n",
       "</pre>\n",
       "\n",
       "\n",
       "<pre>Traceback (most recent call last):\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\pyviz_comms\\__init__.py&quot;, line 316, in _handle_msg\n",
       "    self._on_msg(msg)\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\panel\\viewable.py&quot;, line 259, in _on_msg\n",
       "    doc.unhold()\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\bokeh\\document\\document.py&quot;, line 668, in unhold\n",
       "    self._trigger_on_change(event)\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\bokeh\\document\\document.py&quot;, line 1151, in _trigger_on_change\n",
       "    self._with_self_as_curdoc(event.callback_invoker)\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\bokeh\\document\\document.py&quot;, line 1169, in _with_self_as_curdoc\n",
       "    return f()\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\bokeh\\util\\callback_manager.py&quot;, line 155, in invoke\n",
       "    callback(attr, old, new)\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\panel\\reactive.py&quot;, line 216, in _comm_change\n",
       "    self._process_events({attr: new})\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\panel\\reactive.py&quot;, line 187, in _process_events\n",
       "    self.param.set_param(**self._process_property_change(events))\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\param\\parameterized.py&quot;, line 1451, in set_param\n",
       "    self_._batch_call_watchers()\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\param\\parameterized.py&quot;, line 1578, in _batch_call_watchers\n",
       "    watcher.fn(*events)\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\panel\\interact.py&quot;, line 191, in update_pane\n",
       "    new_object = self.object(**self.kwargs)\n",
       "  File &quot;&lt;ipython-input-5-24a12858cf71&gt;&quot;, line 4, in get_plot\n",
       "    df[&#x27;MA&#x27;] = df[value].rolling(window = window).mean()\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\pandas\\core\\generic.py&quot;, line 10542, in rolling\n",
       "    closed=closed,\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\pandas\\core\\window\\rolling.py&quot;, line 169, in __init__\n",
       "    self.validate()\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\pandas\\core\\window\\rolling.py&quot;, line 1965, in validate\n",
       "    raise ValueError(&quot;window must be non-negative&quot;)\n",
       "ValueError: window must be non-negative\n",
       "</pre>\n",
       "\n",
       "\n",
       "<pre>Traceback (most recent call last):\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\pyviz_comms\\__init__.py&quot;, line 316, in _handle_msg\n",
       "    self._on_msg(msg)\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\panel\\viewable.py&quot;, line 259, in _on_msg\n",
       "    doc.unhold()\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\bokeh\\document\\document.py&quot;, line 668, in unhold\n",
       "    self._trigger_on_change(event)\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\bokeh\\document\\document.py&quot;, line 1151, in _trigger_on_change\n",
       "    self._with_self_as_curdoc(event.callback_invoker)\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\bokeh\\document\\document.py&quot;, line 1169, in _with_self_as_curdoc\n",
       "    return f()\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\bokeh\\util\\callback_manager.py&quot;, line 155, in invoke\n",
       "    callback(attr, old, new)\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\panel\\reactive.py&quot;, line 216, in _comm_change\n",
       "    self._process_events({attr: new})\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\panel\\reactive.py&quot;, line 187, in _process_events\n",
       "    self.param.set_param(**self._process_property_change(events))\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\param\\parameterized.py&quot;, line 1451, in set_param\n",
       "    self_._batch_call_watchers()\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\param\\parameterized.py&quot;, line 1578, in _batch_call_watchers\n",
       "    watcher.fn(*events)\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\panel\\interact.py&quot;, line 191, in update_pane\n",
       "    new_object = self.object(**self.kwargs)\n",
       "  File &quot;&lt;ipython-input-5-24a12858cf71&gt;&quot;, line 4, in get_plot\n",
       "    df[&#x27;MA&#x27;] = df[value].rolling(window = window).mean()\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\pandas\\core\\generic.py&quot;, line 10542, in rolling\n",
       "    closed=closed,\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\pandas\\core\\window\\rolling.py&quot;, line 169, in __init__\n",
       "    self.validate()\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\pandas\\core\\window\\rolling.py&quot;, line 1965, in validate\n",
       "    raise ValueError(&quot;window must be non-negative&quot;)\n",
       "ValueError: window must be non-negative\n",
       "</pre>\n",
       "\n",
       "\n",
       "<pre>Traceback (most recent call last):\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\pyviz_comms\\__init__.py&quot;, line 316, in _handle_msg\n",
       "    self._on_msg(msg)\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\panel\\viewable.py&quot;, line 259, in _on_msg\n",
       "    doc.unhold()\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\bokeh\\document\\document.py&quot;, line 668, in unhold\n",
       "    self._trigger_on_change(event)\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\bokeh\\document\\document.py&quot;, line 1151, in _trigger_on_change\n",
       "    self._with_self_as_curdoc(event.callback_invoker)\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\bokeh\\document\\document.py&quot;, line 1169, in _with_self_as_curdoc\n",
       "    return f()\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\bokeh\\util\\callback_manager.py&quot;, line 155, in invoke\n",
       "    callback(attr, old, new)\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\panel\\reactive.py&quot;, line 216, in _comm_change\n",
       "    self._process_events({attr: new})\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\panel\\reactive.py&quot;, line 187, in _process_events\n",
       "    self.param.set_param(**self._process_property_change(events))\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\param\\parameterized.py&quot;, line 1451, in set_param\n",
       "    self_._batch_call_watchers()\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\param\\parameterized.py&quot;, line 1578, in _batch_call_watchers\n",
       "    watcher.fn(*events)\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\panel\\interact.py&quot;, line 191, in update_pane\n",
       "    new_object = self.object(**self.kwargs)\n",
       "  File &quot;&lt;ipython-input-5-24a12858cf71&gt;&quot;, line 4, in get_plot\n",
       "    df[&#x27;MA&#x27;] = df[value].rolling(window = window).mean()\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\pandas\\core\\generic.py&quot;, line 10542, in rolling\n",
       "    closed=closed,\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\pandas\\core\\window\\rolling.py&quot;, line 169, in __init__\n",
       "    self.validate()\n",
       "  File &quot;c:\\users\\melissa kou\\appdata\\local\\programs\\python\\python37\\lib\\site-packages\\pandas\\core\\window\\rolling.py&quot;, line 1965, in validate\n",
       "    raise ValueError(&quot;window must be non-negative&quot;)\n",
       "ValueError: window must be non-negative\n",
       "</pre>\n"
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Application\",\"version\":\"2.2.3\"}};\n",
       "    var render_items = [{\"docid\":\"f44bc794-efb3-4503-871a-b39565034f8f\",\"root_ids\":[\"1001\"],\"roots\":{\"1001\":\"1120edf0-16e4-4bd6-a751-678d376fab13\"}}];\n",
       "    root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "  }\n",
       "  if (root.Bokeh !== undefined && root.Bokeh.Panel !== undefined && root['Plotly'] !== undefined ) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined && root.Bokeh.Panel !== undefined && root['Plotly'] !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else if (document.readyState == \"complete\") {\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);</script>"
      ],
      "text/plain": [
       "Column\n",
       "    [0] Column\n",
       "        [0] TextInput(name='symbol', value='AAPL')\n",
       "        [1] TextInput(name='value', value='Close')\n",
       "        [2] IntSlider(end=90, name='window', start=-30, value=30, value_throttled=30)\n",
       "    [1] Row\n",
       "        [0] Plotly(Figure, name='interactive00007')"
      ]
     },
     "execution_count": 10,
     "metadata": {
      "application/vnd.holoviews_exec.v0+json": {
       "id": "1001"
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pn.interact(get_plot, symbol = 'AAPL', value = 'Close', window = 30)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "but it still have some drawbacks:\n",
    "* the value of symbol and value need to key in by user, user may not have information about which symbol and value are available.\n",
    "* the range of window size contains negative value which doesn't make any sence obviously!\n",
    "* the layout of dashboard we cannot control.\n",
    "\n",
    "we can specify the possible value of arguments and pass it into `pn.interact()`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "kw = dict(\n",
    "    symbol = ['AAPL', 'AMZN', 'FB', 'GOOGL', 'MSFT'],\n",
    "    value = ['Open', 'High', 'Low', 'Close', 'Adj Close', 'Volume'],\n",
    "    window = (7, 365)\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "i = pn.interact(get_plot, **kw)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.holoviews_exec.v0+json": "",
      "text/html": [
       "<div id='1140'>\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"2b9e57be-3825-410c-b415-65630e9724b7\" data-root-id=\"1140\"></div>\n",
       "</div>\n",
       "<script type=\"application/javascript\">(function(root) {\n",
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00:00:00\"]],\"y\":[{\"__ndarray__\":\"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Close\",\"Volume\"],\"title\":\"value\",\"value\":\"Close\"},\"id\":\"1143\",\"type\":\"Select\"}],\"root_ids\":[\"1140\",\"1161\"]},\"title\":\"Bokeh Application\",\"version\":\"2.2.3\"}};\n",
       "    var render_items = [{\"docid\":\"2218c986-cabe-4338-9383-df8c63896e0b\",\"root_ids\":[\"1140\"],\"roots\":{\"1140\":\"2b9e57be-3825-410c-b415-65630e9724b7\"}}];\n",
       "    root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "  }\n",
       "  if (root.Bokeh !== undefined && root.Bokeh.Panel !== undefined && root['Plotly'] !== undefined ) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined && root.Bokeh.Panel !== undefined && root['Plotly'] !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else if (document.readyState == \"complete\") {\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);</script>"
      ],
      "text/plain": [
       "Column\n",
       "    [0] Column\n",
       "        [0] Select(name='symbol', options=['AAPL', 'AMZN', ...], value='AAPL')\n",
       "        [1] Select(name='value', options=['Open', 'High', ...], value='Close')\n",
       "        [2] IntSlider(end=365, name='window', start=7, value=30, value_throttled=186)\n",
       "    [1] Row\n",
       "        [0] Plotly(Figure, name='interactive00019')"
      ]
     },
     "execution_count": 13,
     "metadata": {
      "application/vnd.holoviews_exec.v0+json": {
       "id": "1140"
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "i"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Components of of Panel\n",
    "take a look of what `pn.interact` creates:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Column\n",
      "    [0] Column\n",
      "        [0] Select(name='symbol', options=['AAPL', 'AMZN', ...], value='AAPL')\n",
      "        [1] Select(name='value', options=['Open', 'High', ...], value='Close')\n",
      "        [2] IntSlider(end=365, name='window', start=7, value=234, value_throttled=234)\n",
      "    [1] Row\n",
      "        [0] Plotly(Figure, name='interactive00019', viewport={'xaxis.range': ['2017-04-...})\n"
     ]
    }
   ],
   "source": [
    "i.pprint()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
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    "`pn.interact` created a `pn.Column` object consisting of a WidgetBox with 3 widgets and a `pn.Row` with one Plotly figure object. So our dashboard have layout like that:\n",
    "<img src=\"./figures/components_of_panel.png\" alt=\"drawing\" width=\"600\"/>"
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,[1.0,\"#f0f921\"]]},\"colorway\":[\"#636efa\",\"#EF553B\",\"#00cc96\",\"#ab63fa\",\"#FFA15A\",\"#19d3f3\",\"#FF6692\",\"#B6E880\",\"#FF97FF\",\"#FECB52\"],\"font\":{\"color\":\"#2a3f5f\"},\"geo\":{\"bgcolor\":\"white\",\"lakecolor\":\"white\",\"landcolor\":\"#E5ECF6\",\"showlakes\":true,\"showland\":true,\"subunitcolor\":\"white\"},\"hoverlabel\":{\"align\":\"left\"},\"hovermode\":\"closest\",\"mapbox\":{\"style\":\"light\"},\"paper_bgcolor\":\"white\",\"plot_bgcolor\":\"#E5ECF6\",\"polar\":{\"angularaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"bgcolor\":\"#E5ECF6\",\"radialaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"scene\":{\"xaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"},\"yaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"},\"zaxis\":{\"backgroundcolor\":\"#E5ECF6\",\"gridcolor\":\"white\",\"gridwidth\":2,\"linecolor\":\"white\",\"showbackground\":true,\"ticks\":\"\",\"zerolinecolor\":\"white\"}},\"shapedefaults\":{\"line\":{\"color\":\"#2a3f5f\"}},\"ternary\":{\"aaxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"baxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"},\"bgcolor\":\"#E5ECF6\",\"caxis\":{\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\"}},\"title\":{\"x\":0.05},\"xaxis\":{\"automargin\":true,\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"zerolinewidth\":2},\"yaxis\":{\"automargin\":true,\"gridcolor\":\"white\",\"linecolor\":\"white\",\"ticks\":\"\",\"title\":{\"standoff\":15},\"zerolinecolor\":\"white\",\"zerolinewidth\":2}}},\"width\":600},\"margin\":[5,5,5,5],\"name\":\"interactive00019\",\"viewport\":{\"xaxis.range\":[\"2017-04-03\",\"2020-04-01\"],\"yaxis.range\":[0,344.4210654810855]},\"viewport_update_throttle\":200},\"id\":\"1258\",\"type\":\"panel.models.plotly.PlotlyPlot\"},{\"attributes\":{},\"id\":\"1259\",\"type\":\"UnionRenderers\"}],\"root_ids\":[\"1258\",\"1271\"]},\"title\":\"Bokeh Application\",\"version\":\"2.2.3\"}};\n",
       "    var render_items = [{\"docid\":\"540cadb3-d02f-4ae4-ac36-34095dc1189a\",\"root_ids\":[\"1258\"],\"roots\":{\"1258\":\"7ec822f7-b048-4691-995b-15df6affbb21\"}}];\n",
       "    root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "  }\n",
       "  if (root.Bokeh !== undefined && root.Bokeh.Panel !== undefined && root['Plotly'] !== undefined ) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined && root.Bokeh.Panel !== undefined && root['Plotly'] !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else if (document.readyState == \"complete\") {\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);</script>"
      ],
      "text/plain": [
       "Plotly(Figure, name='interactive00019', viewport={'xaxis.range': ['2017-04-...})"
      ]
     },
     "execution_count": 16,
     "metadata": {
      "application/vnd.holoviews_exec.v0+json": {
       "id": "1258"
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "i[1][0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Panel is compositional, so you can recomposite these components any way you like, or adding other objects:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Row\n",
      "    [0] Plotly(Figure, name='interactive00019', viewport={'xaxis.range': ['2017-04-...})\n",
      "    [1] Column\n",
      "        [0] Markdown(str)\n",
      "        [1] Select(name='symbol', options=['AAPL', 'AMZN', ...], value='AAPL')\n",
      "        [2] Select(name='value', options=['Open', 'High', ...], value='Close')\n",
      "        [3] IntSlider(end=365, name='window', start=7, value=234, value_throttled=234)\n"
     ]
    }
   ],
   "source": [
    "text = \"# Stock Market Data\\nSelect a symbol, value, and the time window for moving average\"\n",
    "\n",
    "p = pn.Row(i[1][0], pn.Column(text, i[0][0], i[0][1], i[0][2]))\n",
    "p.pprint()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.holoviews_exec.v0+json": "",
      "text/html": [
       "<div id='1329'>\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"1af9139d-24e6-4c93-abb4-d747aeea8c8b\" data-root-id=\"1329\"></div>\n",
       "</div>\n",
       "<script type=\"application/javascript\">(function(root) {\n",
       "  function embed_document(root) {\n",
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       "    var render_items = [{\"docid\":\"6e0e6441-db83-4d1e-9b1c-60c84c043c18\",\"root_ids\":[\"1329\"],\"roots\":{\"1329\":\"1af9139d-24e6-4c93-abb4-d747aeea8c8b\"}}];\n",
       "    root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "  }\n",
       "  if (root.Bokeh !== undefined && root.Bokeh.Panel !== undefined && root['Plotly'] !== undefined ) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined && root.Bokeh.Panel !== undefined && root['Plotly'] !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else if (document.readyState == \"complete\") {\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);</script>"
      ],
      "text/plain": [
       "Row\n",
       "    [0] Plotly(Figure, name='interactive00019', viewport={'xaxis.range': ['2017-04-...})\n",
       "    [1] Column\n",
       "        [0] Markdown(str)\n",
       "        [1] Select(name='symbol', options=['AAPL', 'AMZN', ...], value='AAPL')\n",
       "        [2] Select(name='value', options=['Open', 'High', ...], value='Close')\n",
       "        [3] IntSlider(end=365, name='window', start=7, value=234, value_throttled=234)"
      ]
     },
     "execution_count": 18,
     "metadata": {
      "application/vnd.holoviews_exec.v0+json": {
       "id": "1329"
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "p"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The widgets stay linked to their plot even if they are in a different notebook cell:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.holoviews_exec.v0+json": "",
      "text/html": [
       "<div id='1371'>\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"c8751f0c-8fff-47aa-b8a8-bd763b2e3af4\" data-root-id=\"1371\"></div>\n",
       "</div>\n",
       "<script type=\"application/javascript\">(function(root) {\n",
       "  function embed_document(root) {\n",
       "    var docs_json = {\"93e57e11-850b-4fdf-bc43-0b85ba1f71d6\":{\"roots\":{\"references\":[{\"attributes\":{\"end\":365,\"format\":\"0[.]00\",\"margin\":[5,10,5,10],\"start\":7,\"title\":\"window\",\"value\":234,\"value_throttled\":234},\"id\":\"1371\",\"type\":\"Slider\"},{\"attributes\":{\"client_comm_id\":\"1442c4da61c447e4ba29be6c494ee808\",\"comm_id\":\"6344f88c4f354a9cb14f1c27adc08eb0\",\"plot_id\":\"1371\"},\"id\":\"1372\",\"type\":\"panel.models.comm_manager.CommManager\"}],\"root_ids\":[\"1371\",\"1372\"]},\"title\":\"Bokeh Application\",\"version\":\"2.2.3\"}};\n",
       "    var render_items = [{\"docid\":\"93e57e11-850b-4fdf-bc43-0b85ba1f71d6\",\"root_ids\":[\"1371\"],\"roots\":{\"1371\":\"c8751f0c-8fff-47aa-b8a8-bd763b2e3af4\"}}];\n",
       "    root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "  }\n",
       "  if (root.Bokeh !== undefined && root.Bokeh.Panel !== undefined && root['Plotly'] !== undefined ) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined && root.Bokeh.Panel !== undefined && root['Plotly'] !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else if (document.readyState == \"complete\") {\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);</script>"
      ],
      "text/plain": [
       "IntSlider(end=365, name='window', start=7, value=234, value_throttled=234)"
      ]
     },
     "execution_count": 19,
     "metadata": {
      "application/vnd.holoviews_exec.v0+json": {
       "id": "1371"
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "i[0][2]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Panel widgets are reactive, so they will update even if you set the values by hand:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "i[0][2].value = 30"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Using Panel Widgets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "import panel.widgets as pnw"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There are many [widgets in Panel](https://panel.holoviz.org/user_guide/Widgets.html), here I use `Select`, `RadioButtonGroup`, `IntSlider`, `DateRangeSlider` to build the stock price dashboard."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create Widget Components\n",
    "symbol = pnw.Select(name = 'symbol', options = ['AAPL', 'AMZN', 'FB', 'GOOGL', 'MSFT'])\n",
    "value = pnw.RadioButtonGroup(name = 'value', options = ['Open', 'High', 'Low', 'Close', 'Adj Close', 'Volume'])\n",
    "window = pnw.IntSlider(name = 'window', start = 7, end = 365, value = 30)\n",
    "date_range = pnw.DateRangeSlider(name = 'date range',\n",
    "                                 start = datetime.datetime(1980, 12, 12), end = datetime.datetime(2020, 4, 1),\n",
    "                                 value = (datetime.datetime(2017, 4, 1), datetime.datetime(2020, 4, 1)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define Reactive Plot Function\n",
    "@pn.depends(symbol, value, window, date_range)\n",
    "def reactive_plot(symbol, value, window, date_range):\n",
    "    df = AAFMG.loc[AAFMG['Symbol'] == symbol]\n",
    "    df = df.sort_values('Date')\n",
    "    df['MA'] = df[value].rolling(window = window).mean()\n",
    "    df = df.loc[(df['Date'] >= date_range[0]) & (df['Date'] <= date_range[1])]\n",
    "    \n",
    "    fig = go.Figure(layout = go.Layout(plot_bgcolor = '#EEEEEE'))\n",
    "    fig.add_trace(go.Scatter(\n",
    "        x = df[\"Date\"], y = df[value],\n",
    "        name = '%s/%s' %(symbol, value),\n",
    "        fill = 'tozeroy',\n",
    "        line_width = 0,\n",
    "        line_color = 'rgba(72,89,110,1)',\n",
    "        fillcolor = 'rgba(72,89,110,0.8)',\n",
    "    ))\n",
    "    fig.add_trace(go.Scatter(\n",
    "        x = df[\"Date\"], y = df[\"MA\"],\n",
    "        name = '%s/%s/MA%d' %(symbol, value, window),\n",
    "        mode = \"lines\",\n",
    "        line_color = '#a57571',\n",
    "        line_width = 2.5\n",
    "    ))\n",
    "    fig.update_layout(\n",
    "        width = 600, height = 400,\n",
    "        margin=dict(l = 20, r = 20, t = 20, b = 20),\n",
    "        legend = dict(\n",
    "            orientation = \"h\",\n",
    "            yanchor = \"bottom\",\n",
    "            y = 1.02,\n",
    "            xanchor = \"right\",\n",
    "            x = 1\n",
    "        )\n",
    "    )\n",
    "    \n",
    "    return fig"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "widgets = pn.Column(text, symbol, value, window, date_range)\n",
    "dashboard = pn.Row(reactive_plot, widgets)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.holoviews_exec.v0+json": "",
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       "<div id='1444'>\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"c4c0b562-520b-481b-a7f2-35b730c62255\" data-root-id=\"1444\"></div>\n",
       "</div>\n",
       "<script type=\"application/javascript\">(function(root) {\n",
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average&lt;/p&gt;\"},\"id\":\"1450\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"_render_count\":0,\"config\":null,\"data\":[{\"fill\":\"tozeroy\",\"fillcolor\":\"rgba(72,89,110,0.8)\",\"line\":{\"color\":\"rgba(72,89,110,1)\",\"width\":0},\"name\":\"AAPL/Open\",\"type\":\"scatter\"},{\"line\":{\"color\":\"#a57571\",\"width\":2.5},\"mode\":\"lines\",\"name\":\"AAPL/Open/MA30\",\"type\":\"scatter\"}],\"data_sources\":[{\"id\":\"1446\"},{\"id\":\"1447\"}],\"layout\":{\"height\":400,\"legend\":{\"orientation\":\"h\",\"x\":1,\"xanchor\":\"right\",\"y\":1.02,\"yanchor\":\"bottom\"},\"margin\":{\"b\":20,\"l\":20,\"r\":20,\"t\":20},\"plot_bgcolor\":\"#EEEEEE\",\"template\":{\"data\":{\"bar\":[{\"error_x\":{\"color\":\"#2a3f5f\"},\"error_y\":{\"color\":\"#2a3f5f\"},\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5}},\"type\":\"bar\"}],\"barpolar\":[{\"marker\":{\"line\":{\"color\":\"#E5ECF6\",\"width\":0.5}},\"type\":\"barpolar\"}],\"carpet\":[{\"aaxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"baxis\":{\"endlinecolor\":\"#2a3f5f\",\"gridcolor\":\"white\",\"linecolor\":\"white\",\"minorgridcolor\":\"white\",\"startlinecolor\":\"#2a3f5f\"},\"type\":\"carpet\"}],\"choropleth\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"choropleth\"}],\"contour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"contour\"}],\"contourcarpet\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"contourcarpet\"}],\"heatmap\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmap\"}],\"heatmapgl\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"heatmapgl\"}],\"histogram\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"histogram\"}],\"histogram2d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2d\"}],\"histogram2dcontour\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111111111111111,\"#46039f\"],[0.2222222222222222,\"#7201a8\"],[0.3333333333333333,\"#9c179e\"],[0.4444444444444444,\"#bd3786\"],[0.5555555555555556,\"#d8576b\"],[0.6666666666666666,\"#ed7953\"],[0.7777777777777778,\"#fb9f3a\"],[0.8888888888888888,\"#fdca26\"],[1.0,\"#f0f921\"]],\"type\":\"histogram2dcontour\"}],\"mesh3d\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"type\":\"mesh3d\"}],\"parcoords\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"parcoords\"}],\"pie\":[{\"automargin\":true,\"type\":\"pie\"}],\"scatter\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter\"}],\"scatter3d\":[{\"line\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatter3d\"}],\"scattercarpet\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattercarpet\"}],\"scattergeo\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergeo\"}],\"scattergl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattergl\"}],\"scattermapbox\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scattermapbox\"}],\"scatterpolar\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolar\"}],\"scatterpolargl\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterpolargl\"}],\"scatterternary\":[{\"marker\":{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"}},\"type\":\"scatterternary\"}],\"surface\":[{\"colorbar\":{\"outlinewidth\":0,\"ticks\":\"\"},\"colorscale\":[[0.0,\"#0d0887\"],[0.1111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Close\",\"Volume\"],\"margin\":[5,10,5,10]},\"id\":\"1452\",\"type\":\"RadioButtonGroup\"}],\"root_ids\":[\"1444\",\"1467\"]},\"title\":\"Bokeh Application\",\"version\":\"2.2.3\"}};\n",
       "    var render_items = [{\"docid\":\"dcffbca1-38de-41e6-b34e-3dff55494951\",\"root_ids\":[\"1444\"],\"roots\":{\"1444\":\"c4c0b562-520b-481b-a7f2-35b730c62255\"}}];\n",
       "    root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "  }\n",
       "  if (root.Bokeh !== undefined && root.Bokeh.Panel !== undefined && root['Plotly'] !== undefined ) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined && root.Bokeh.Panel !== undefined && root['Plotly'] !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else if (document.readyState == \"complete\") {\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);</script>"
      ],
      "text/plain": [
       "Row\n",
       "    [0] ParamFunction(function)\n",
       "    [1] Column\n",
       "        [0] Markdown(str)\n",
       "        [1] Select(name='symbol', options=['AAPL', 'AMZN', ...], value='AAPL')\n",
       "        [2] RadioButtonGroup(name='value', options=['Open', 'High', ...], value='Open')\n",
       "        [3] IntSlider(end=365, name='window', start=7, value=30, value_throttled=30)\n",
       "        [4] DateRangeSlider(end=datetime.datetime(2020, ..., name='date range', start=datetime.datetime(1980, ..., value=(datetime.datetime(2017, ..., value_throttled=(datetime.datetime(2017, ...)"
      ]
     },
     "execution_count": 25,
     "metadata": {
      "application/vnd.holoviews_exec.v0+json": {
       "id": "1444"
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dashboard"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Deploying Panels\n",
    "you can simply deploy panel in the separate web page with .servable(), and then run the shell command `panel serve --show panel_practice.ipynb` to launch a server containing that object."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "dashboard.servable();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Other widgets in Panel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "widgets = pn.Column(\n",
    "    \"### __Categorical - Single Values__\",\n",
    "    pn.Row(\"* __AutoCompleteInput__: \", pnw.AutocompleteInput(options=['Biology', 'Chemistry', 'Physics'], placeholder='Write something here')),\n",
    "    pn.Row(\"* __RadioButtomGroup__: \", pnw.RadioButtonGroup(options=['Biology', 'Chemistry', 'Physics'])),\n",
    "    pn.Row(\"* __RadioBoxGroup__: \", pnw.RadioBoxGroup(options=['Biology', 'Chemistry', 'Physics'], inline=True)),\n",
    "    pn.Row(\"* __Select__: \", pnw.Select(options=['Biology', 'Chemistry', 'Physics'])),\n",
    "    \n",
    "    \"### __Categorical - Multiple Values__\",\n",
    "    pn.Row(\"* __CheckBoxGroup__: \", pnw.CheckBoxGroup(value=['Apple', 'Pear'], options=['Apple', 'Banana', 'Pear', 'Strawberry'],inline=True)),\n",
    "    pn.Row(\"* __CheckButtonGroup__: \", pnw.CheckButtonGroup(value=['Apple', 'Pear'], options=['Apple', 'Banana', 'Pear', 'Strawberry'])),\n",
    "    pn.Row(\"* __CrossSelecter__: \", pnw.CrossSelector(value=['Apple', 'Pear'], options=['Apple', 'Banana', 'Pear', 'Strawberry'])),\n",
    "    pn.Row(\"* __MultiSelect__: \", pnw.MultiSelect(value=['Apple', 'Pear'], options=['Apple', 'Banana', 'Pear', 'Strawberry'])),\n",
    "    \n",
    "    \n",
    "    \"### __Numeric - Int__\",\n",
    "    pn.Row(\"* __IntSlider__: \", pnw.IntSlider(start=0, end=8, step=2, value=4)),\n",
    "    pn.Row(\"* __IntRangeSlider__: \", pnw.IntRangeSlider(start=0, end=10, value=(2, 8), step=2)),\n",
    "    pn.Row(\"* __Player__: \", pnw.Player(start=0, end=100, value=32, loop_policy='loop')),\n",
    "    pn.Row(\"* __DiscreteSlider__: \", pnw.DiscreteSlider(options=[2, 4, 8, 16, 32, 64, 128], value=32)),\n",
    "    pn.Row(\"* __DiscretePlayer__: \", pnw.DiscretePlayer(options=[2, 4, 8, 16, 32, 64, 128], value=32, loop_policy='loop')),\n",
    "    \n",
    "    \"### __Numeric - Float__\",\n",
    "    pn.Row(\"* __FloatSlider__: \", pnw.FloatSlider(start=0, end=3.141, step=0.01, value=1.57)),\n",
    "    pn.Row(\"* __RangeSlider__: \", pnw.RangeSlider(format='0.0a', start=100000, end=1000000)),\n",
    "    \n",
    "    \"### __Boolean__\",\n",
    "    pn.Row(\"* __Checkbox__: \", pnw.Checkbox(name='Checkbox')),\n",
    "    pn.Row(\"* __Toogle__: \", pnw.Toggle(name='Toggle')),\n",
    "    \n",
    "    \"### __Dates__\",\n",
    "    pn.Row(\"* __DatetimeInput__: \", pnw.DatetimeInput(value=datetime.datetime(2019, 2, 8))),\n",
    "    pn.Row(\"* __DatePicker__: \", pnw.DatePicker()),\n",
    "    pn.Row(\"* __DateRangeSlider__: \", pnw.DateRangeSlider(start=datetime.datetime(2019, 1, 1), end=datetime.datetime(2019, 6, 1))),\n",
    "    \n",
    "    \"### __Text__\",\n",
    "    pn.Row(\"* __TextInput__: \", pnw.TextInput(placeholder='Enter a string here...')),\n",
    "    pn.Row(\"* __PasswordInput__: \", pnw.PasswordInput(placeholder='Enter a string here...')),\n",
    "    pn.Row(\"* __TextAreaInput__: \", pnw.TextAreaInput(placeholder='Enter a string here...')),\n",
    "    \n",
    "    \"### __Other__\",\n",
    "    pn.Row(\"* __ColorPicker__: \", pnw.ColorPicker(value='#99ef78')),\n",
    "    pn.Row(\"* __FileInput__: \", pnw.FileInput(accept='.csv,.json')),\n",
    "    pn.Row(\"* __LiteralInput__: \", pnw.LiteralInput(value={'key': [1, 2, 3]}, type=dict)),\n",
    "    pn.Row(\"* __Button__: \", pnw.Button(name='Click me', button_type='primary')),\n",
    "    pn.Row(\"* __DataFrame__: \", pnw.DataFrame(pd.DataFrame({'int': [1, 2, 3], 'float': [3.14, 6.28, 9.42], 'str': ['A', 'B', 'C']}, index=[1, 2, 3]))),\n",
    "    pn.Row(\"* __FileDownload__: \", pnw.FileDownload(file='FileDownload.ipynb', filename='custom_filename.ipynb')),\n",
    "    pn.Row(\"* __Progress__: \", pnw.Progress(width=200))\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.holoviews_exec.v0+json": "",
      "text/html": [
       "<div id='1488'>\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"20f26351-84d3-4ac2-9255-eb30333a7433\" data-root-id=\"1488\"></div>\n",
       "</div>\n",
       "<script type=\"application/javascript\">(function(root) {\n",
       "  function embed_document(root) {\n",
       "    var docs_json = {\"11466d06-79a0-4b8e-a2f6-1a1ba4641bb5\":{\"roots\":{\"references\":[{\"attributes\":{\"css_classes\":[\"markdown\"],\"margin\":[5,5,5,5],\"name\":\"Markdown00204\",\"text\":\"&lt;h3&gt;&lt;strong&gt;Numeric - Int&lt;/strong&gt;&lt;/h3&gt;\"},\"id\":\"1527\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"children\":[{\"id\":\"1554\"},{\"id\":\"1555\"}],\"margin\":[0,0,0,0],\"name\":\"Row00143\"},\"id\":\"1553\",\"type\":\"Row\"},{\"attributes\":{\"css_classes\":[\"markdown\"],\"margin\":[5,5,5,5],\"name\":\"Markdown00102\",\"text\":\"&lt;ul&gt;\\n&lt;li&gt;&lt;strong&gt;MultiSelect&lt;/strong&gt;: &lt;/li&gt;\\n&lt;/ul&gt;\"},\"id\":\"1525\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"end\":100,\"height\":80,\"loop_policy\":\"loop\",\"margin\":[5,10,5,10],\"min_height\":80,\"min_width\":510,\"start\":0,\"value\":32,\"width\":510},\"id\":\"1536\",\"type\":\"panel.models.widgets.Player\"},{\"attributes\":{\"children\":[{\"id\":\"1507\"},{\"id\":\"1508\"}],\"margin\":[0,0,0,0],\"name\":\"Row00082\"},\"id\":\"1506\",\"type\":\"Row\"},{\"attributes\":{\"css_classes\":[\"markdown\"],\"margin\":[5,5,5,5],\"name\":\"Markdown00110\",\"text\":\"&lt;ul&gt;\\n&lt;li&gt;&lt;strong&gt;IntRangeSlider&lt;/strong&gt;: &lt;/li&gt;\\n&lt;/ul&gt;\"},\"id\":\"1532\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"end\":1559347200000.0,\"format\":\"%d %b 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&lt;/li&gt;\\n&lt;/ul&gt;\"},\"id\":\"1500\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"margin\":[0,0,0,0],\"options\":[\"Apple\",\"Pear\"],\"size\":10,\"sizing_mode\":\"stretch_both\"},\"id\":\"1523\",\"type\":\"MultiSelect\"},{\"attributes\":{\"children\":[{\"id\":\"1543\"},{\"id\":\"1544\"}],\"margin\":[0,0,0,0],\"name\":\"Row00131\"},\"id\":\"1542\",\"type\":\"Row\"},{\"attributes\":{\"icon\":null,\"label\":\"<<\",\"margin\":[5,10,5,10],\"min_width\":50,\"subscribed_events\":[\"button_click\"],\"width\":50},\"id\":\"1519\",\"type\":\"Button\"},{\"attributes\":{\"css_classes\":[\"markdown\"],\"margin\":[5,5,5,5],\"name\":\"Markdown00202\",\"text\":\"&lt;h3&gt;&lt;strong&gt;Categorical - Multiple Values&lt;/strong&gt;&lt;/h3&gt;\"},\"id\":\"1502\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{},\"id\":\"1602\",\"type\":\"IntEditor\"},{\"attributes\":{\"css_classes\":[\"markdown\"],\"margin\":[5,5,5,5],\"name\":\"Markdown00210\",\"text\":\"&lt;h3&gt;&lt;strong&gt;Dates&lt;/strong&gt;&lt;/h3&gt;\"},\"id\":\"1559\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"end\":6,\"height\":80,\"loop_policy\":\"loop\",\"margin\":[5,10,5,10],\"min_height\":80,\"min_width\":510,\"start\":0,\"value\":4,\"width\":510},\"id\":\"1544\",\"type\":\"panel.models.widgets.Player\"},{\"attributes\":{\"css_classes\":[\"markdown\"],\"margin\":[5,5,5,5],\"name\":\"Markdown00060\",\"text\":\"&lt;ul&gt;\\n&lt;li&gt;&lt;strong&gt;AutoCompleteInput&lt;/strong&gt;: &lt;/li&gt;\\n&lt;/ul&gt;\"},\"id\":\"1491\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"css_classes\":[\"markdown\"],\"margin\":[5,5,5,5],\"name\":\"Markdown00161\",\"text\":\"&lt;ul&gt;\\n&lt;li&gt;&lt;strong&gt;TextInput&lt;/strong&gt;: &lt;/li&gt;\\n&lt;/ul&gt;\"},\"id\":\"1571\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"css_classes\":[\"markdown\"],\"margin\":[5,5,5,5],\"name\":\"Markdown00173\",\"text\":\"&lt;ul&gt;\\n&lt;li&gt;&lt;strong&gt;ColorPicker&lt;/strong&gt;: &lt;/li&gt;\\n&lt;/ul&gt;\"},\"id\":\"1581\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"children\":[{\"id\":\"1500\"},{\"id\":\"1501\"}],\"margin\":[0,0,0,0],\"name\":\"Row00074\"},\"id\":\"1499\",\"type\":\"Row\"},{\"attributes\":{\"children\":[{\"id\":\"1497\"},{\"id\":\"1498\"}],\"margin\":[0,0,0,0],\"name\":\"Row00070\"},\"id\":\"1496\",\"type\":\"Row\"},{\"attributes\":{\"margin\":[5,10,5,10],\"options\":[\"Biology\",\"Chemistry\",\"Physics\"],\"value\":\"Biology\"},\"id\":\"1501\",\"type\":\"Select\"},{\"attributes\":{\"css_classes\":[\"markdown\"],\"margin\":[5,5,5,5],\"name\":\"Markdown00129\",\"text\":\"&lt;ul&gt;\\n&lt;li&gt;&lt;strong&gt;DiscretePlayer&lt;/strong&gt;: &lt;/li&gt;\\n&lt;/ul&gt;\"},\"id\":\"1543\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"css_classes\":[\"markdown\"],\"margin\":[5,5,5,5],\"name\":\"Markdown00212\",\"text\":\"&lt;h3&gt;&lt;strong&gt;Text&lt;/strong&gt;&lt;/h3&gt;\"},\"id\":\"1569\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"children\":[{\"id\":\"1504\"},{\"id\":\"1505\"}],\"margin\":[0,0,0,0],\"name\":\"Row00078\"},\"id\":\"1503\",\"type\":\"Row\"},{\"attributes\":{\"active\":[0,2],\"inline\":true,\"labels\":[\"Apple\",\"Banana\",\"Pear\",\"Strawberry\"],\"margin\":[5,10,5,10]},\"id\":\"1505\",\"type\":\"CheckboxGroup\"},{\"attributes\":{\"css_classes\":[\"markdown\"],\"margin\":[5,5,5,5],\"name\":\"Markdown00114\",\"text\":\"&lt;ul&gt;\\n&lt;li&gt;&lt;strong&gt;Player&lt;/strong&gt;: &lt;/li&gt;\\n&lt;/ul&gt;\"},\"id\":\"1535\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"margin\":[5,10,5,10],\"options\":[\"Apple\",\"Banana\",\"Pear\",\"Strawberry\"],\"value\":[\"Apple\",\"Pear\"]},\"id\":\"1526\",\"type\":\"MultiSelect\"},{\"attributes\":{\"bar_color\":\"success\",\"margin\":[5,10,5,10],\"sizing_mode\":\"fixed\",\"width\":200},\"id\":\"1624\",\"type\":\"panel.models.widgets.Progress\"},{\"attributes\":{\"css_classes\":[\"markdown\"],\"margin\":[5,5,5,5],\"name\":\"Markdown00193\",\"text\":\"&lt;ul&gt;\\n&lt;li&gt;&lt;strong&gt;FileDownload&lt;/strong&gt;: &lt;/li&gt;\\n&lt;/ul&gt;\"},\"id\":\"1620\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"auto\":true,\"filename\":\"custom_filename.ipynb\",\"label\":\"Download custom_filename.ipynb\",\"margin\":[5,10,5,10]},\"id\":\"1621\",\"type\":\"panel.models.widgets.FileDownload\"},{\"attributes\":{\"margin\":[5,10,5,10],\"max_length\":5000,\"placeholder\":\"Enter a string here...\"},\"id\":\"1578\",\"type\":\"TextAreaInput\"},{\"attributes\":{\"css_classes\":[\"markdown\"],\"margin\":[5,5,5,5],\"name\":\"Markdown00145\",\"text\":\"&lt;ul&gt;\\n&lt;li&gt;&lt;strong&gt;Toogle&lt;/strong&gt;: &lt;/li&gt;\\n&lt;/ul&gt;\"},\"id\":\"1557\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"css_classes\":[\"markdown\"],\"margin\":[5,5,5,5],\"name\":\"Markdown00125\",\"text\":\"&lt;ul&gt;\\n&lt;li&gt;&lt;strong&gt;DiscreteSlider&lt;/strong&gt;: &lt;/li&gt;\\n&lt;/ul&gt;\"},\"id\":\"1538\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"css_classes\":[\"markdown\"],\"margin\":[5,5,5,5],\"name\":\"Markdown00185\",\"text\":\"&lt;ul&gt;\\n&lt;li&gt;&lt;strong&gt;Button&lt;/strong&gt;: &lt;/li&gt;\\n&lt;/ul&gt;\"},\"id\":\"1590\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"margin\":[5,10,5,10],\"value\":\"2019-02-08 00:00:00\"},\"id\":\"1562\",\"type\":\"TextInput\"},{\"attributes\":{\"css_classes\":[\"markdown\"],\"margin\":[5,5,5,5],\"name\":\"Markdown00080\",\"text\":\"&lt;ul&gt;\\n&lt;li&gt;&lt;strong&gt;CheckButtonGroup&lt;/strong&gt;: &lt;/li&gt;\\n&lt;/ul&gt;\"},\"id\":\"1507\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"css_classes\":[\"markdown\"],\"margin\":[5,5,5,5],\"name\":\"Markdown00098\",\"text\":\"&lt;ul&gt;\\n&lt;li&gt;&lt;strong&gt;CrossSelecter&lt;/strong&gt;: &lt;/li&gt;\\n&lt;/ul&gt;\"},\"id\":\"1510\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"children\":[{\"id\":\"1584\"},{\"id\":\"1585\"}],\"margin\":[0,0,0,0],\"name\":\"Row00179\"},\"id\":\"1583\",\"type\":\"Row\"},{\"attributes\":{\"icon\":null,\"margin\":[5,10,5,10]},\"id\":\"1558\",\"type\":\"Toggle\"},{\"attributes\":{\"children\":[{\"id\":\"1489\"},{\"id\":\"1490\"},{\"id\":\"1493\"},{\"id\":\"1496\"},{\"id\":\"1499\"},{\"id\":\"1502\"},{\"id\":\"1503\"},{\"id\":\"1506\"},{\"id\":\"1509\"},{\"id\":\"1524\"},{\"id\":\"1527\"},{\"id\":\"1528\"},{\"id\":\"1531\"},{\"id\":\"1534\"},{\"id\":\"1537\"},{\"id\":\"1542\"},{\"id\":\"1545\"},{\"id\":\"1546\"},{\"id\":\"1549\"},{\"id\":\"1552\"},{\"id\":\"1553\"},{\"id\":\"1556\"},{\"id\":\"1559\"},{\"id\":\"1560\"},{\"id\":\"1563\"},{\"id\":\"1566\"},{\"id\":\"1569\"},{\"id\":\"1570\"},{\"id\":\"1573\"},{\"id\":\"1576\"},{\"id\":\"1579\"},{\"id\":\"1580\"},{\"id\":\"1583\"},{\"id\":\"1586\"},{\"id\":\"1589\"},{\"id\":\"1592\"},{\"id\":\"1619\"},{\"id\":\"1622\"}],\"margin\":[0,0,0,0],\"name\":\"Column00216\"},\"id\":\"1488\",\"type\":\"Column\"},{\"attributes\":{\"css_classes\":[\"markdown\"],\"margin\":[5,5,5,5],\"name\":\"Markdown00189\",\"text\":\"&lt;ul&gt;\\n&lt;li&gt;&lt;strong&gt;DataFrame&lt;/strong&gt;: 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here\"},\"id\":\"1492\",\"type\":\"AutocompleteInput\"},{\"attributes\":{\"end\":1000000,\"format\":\"0.0a\",\"margin\":[5,10,5,10],\"start\":100000,\"value\":[100000,1000000],\"value_throttled\":[100000,1000000]},\"id\":\"1551\",\"type\":\"RangeSlider\"},{\"attributes\":{\"css_classes\":[\"markdown\"],\"margin\":[5,5,5,5],\"name\":\"Markdown00208\",\"text\":\"&lt;h3&gt;&lt;strong&gt;Boolean&lt;/strong&gt;&lt;/h3&gt;\"},\"id\":\"1552\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"css_classes\":[\"markdown\"],\"margin\":[5,5,5,5],\"name\":\"Markdown00106\",\"text\":\"&lt;ul&gt;\\n&lt;li&gt;&lt;strong&gt;IntSlider&lt;/strong&gt;: &lt;/li&gt;\\n&lt;/ul&gt;\"},\"id\":\"1529\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"color\":\"#99ef78\",\"margin\":[5,10,5,10]},\"id\":\"1582\",\"type\":\"ColorPicker\"},{\"attributes\":{\"children\":[{\"id\":\"1574\"},{\"id\":\"1575\"}],\"margin\":[0,0,0,0],\"name\":\"Row00167\"},\"id\":\"1573\",\"type\":\"Row\"},{\"attributes\":{\"active\":0,\"labels\":[\"Biology\",\"Chemistry\",\"Physics\"],\"margin\":[5,10,5,10]},\"id\":\"1495\",\"type\":\"RadioButtonGroup\"},{\"attributes\":{\"children\":[{\"id\":\"1491\"},{\"id\":\"1492\"}],\"margin\":[0,0,0,0],\"name\":\"Row00062\"},\"id\":\"1490\",\"type\":\"Row\"},{\"attributes\":{\"css_classes\":[\"markdown\"],\"margin\":[5,5,5,5],\"name\":\"Markdown00197\",\"text\":\"&lt;ul&gt;\\n&lt;li&gt;&lt;strong&gt;Progress&lt;/strong&gt;: &lt;/li&gt;\\n&lt;/ul&gt;\"},\"id\":\"1623\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"client_comm_id\":\"ac82513ee37043bbbea91e1c305425c4\",\"comm_id\":\"2e3566ce05a949a0a4be2950778477ce\",\"plot_id\":\"1488\"},\"id\":\"1632\",\"type\":\"panel.models.comm_manager.CommManager\"},{\"attributes\":{\"children\":[{\"id\":\"1510\"},{\"id\":\"1511\"}],\"margin\":[0,0,0,0],\"name\":\"Row00100\"},\"id\":\"1509\",\"type\":\"Row\"},{\"attributes\":{},\"id\":\"1597\",\"type\":\"CellEditor\"},{\"attributes\":{\"css_classes\":[\"markdown\"],\"margin\":[5,5,5,5],\"name\":\"Markdown00214\",\"text\":\"&lt;h3&gt;&lt;strong&gt;Other&lt;/strong&gt;&lt;/h3&gt;\"},\"id\":\"1579\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"children\":[{\"id\":\"1567\"},{\"id\":\"1568\"}],\"margin\":[0,0,0,0],\"name\":\"Row00159\"},\"id\":\"1566\",\"type\":\"Row\"},{\"attributes\":{\"css_classes\":[\"markdown\"],\"margin\":[5,5,5,5],\"name\":\"Markdown00169\",\"text\":\"&lt;ul&gt;\\n&lt;li&gt;&lt;strong&gt;TextAreaInput&lt;/strong&gt;: &lt;/li&gt;\\n&lt;/ul&gt;\"},\"id\":\"1577\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"children\":[{\"id\":\"1525\"},{\"id\":\"1526\"}],\"margin\":[0,0,0,0],\"name\":\"Row00104\"},\"id\":\"1524\",\"type\":\"Row\"},{\"attributes\":{\"children\":[{\"id\":\"1623\"},{\"id\":\"1624\"}],\"margin\":[0,0,0,0],\"name\":\"Row00199\"},\"id\":\"1622\",\"type\":\"Row\"},{\"attributes\":{\"css_classes\":[\"markdown\"],\"margin\":[5,5,5,5],\"name\":\"Markdown00076\",\"text\":\"&lt;ul&gt;\\n&lt;li&gt;&lt;strong&gt;CheckBoxGroup&lt;/strong&gt;: &lt;/li&gt;\\n&lt;/ul&gt;\"},\"id\":\"1504\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"margin\":[5,0,0,10],\"name\":\"\",\"style\":{\"white-space\":\"nowrap\"},\"text\":\"<b>32</b>\"},\"id\":\"1540\",\"type\":\"Div\"},{\"attributes\":{\"margin\":[5,10,5,10],\"placeholder\":\"Enter a string here...\"},\"id\":\"1575\",\"type\":\"PasswordInput\"},{\"attributes\":{},\"id\":\"1595\",\"type\":\"NumberFormatter\"},{\"attributes\":{},\"id\":\"1625\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"children\":[{\"id\":\"1571\"},{\"id\":\"1572\"}],\"margin\":[0,0,0,0],\"name\":\"Row00163\"},\"id\":\"1570\",\"type\":\"Row\"},{\"attributes\":{\"args\":{\"bidirectional\":false,\"properties\":{},\"source\":{\"id\":\"1541\"},\"target\":{\"id\":\"1540\"}},\"code\":\"try { \\n    var labels = ['<b>2</b>', '<b>4</b>', '<b>8</b>', '<b>16</b>', '<b>32</b>', '<b>64</b>', '<b>128</b>']\\n    target.text = labels[source.value]\\n     } catch(err) { console.log(err) 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a string here...\"},\"id\":\"1572\",\"type\":\"TextInput\"},{\"attributes\":{\"columns\":[{\"id\":\"1598\"},{\"id\":\"1603\"},{\"id\":\"1608\"},{\"id\":\"1613\"}],\"editable\":true,\"height\":105,\"index_position\":null,\"margin\":[5,10,5,10],\"name\":\"\",\"source\":{\"id\":\"1594\"},\"view\":{\"id\":\"1617\"}},\"id\":\"1616\",\"type\":\"DataTable\"},{\"attributes\":{\"margin\":[0,0,10,0],\"placeholder\":\"Filter selected options\",\"width_policy\":\"max\"},\"id\":\"1522\",\"type\":\"TextInput\"},{\"attributes\":{\"margin\":[0,0,10,0],\"placeholder\":\"Filter available options\",\"width_policy\":\"max\"},\"id\":\"1513\",\"type\":\"TextInput\"},{\"attributes\":{},\"id\":\"1607\",\"type\":\"NumberEditor\"},{\"attributes\":{\"accept\":\".csv,.json\",\"margin\":[5,10,5,10]},\"id\":\"1585\",\"type\":\"FileInput\"},{\"attributes\":{},\"id\":\"1618\",\"type\":\"Selection\"},{\"attributes\":{\"children\":[{\"id\":\"1529\"},{\"id\":\"1530\"}],\"margin\":[0,0,0,0],\"name\":\"Row00108\"},\"id\":\"1528\",\"type\":\"Row\"},{\"attributes\":{\"css_classes\":[\"markdown\"],\"margin\":[5,5,5,5],\"name\":\"Markdown00200\",\"text\":\"&lt;h3&gt;&lt;strong&gt;Categorical - Single Values&lt;/strong&gt;&lt;/h3&gt;\"},\"id\":\"1489\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"children\":[{\"id\":\"1587\"},{\"id\":\"1588\"}],\"margin\":[0,0,0,0],\"name\":\"Row00183\"},\"id\":\"1586\",\"type\":\"Row\"},{\"attributes\":{\"margin\":[0,0,0,0],\"options\":[\"Banana\",\"Strawberry\"],\"size\":10,\"sizing_mode\":\"stretch_both\"},\"id\":\"1514\",\"type\":\"MultiSelect\"},{\"attributes\":{\"children\":[{\"id\":\"1550\"},{\"id\":\"1551\"}],\"margin\":[0,0,0,0],\"name\":\"Row00139\"},\"id\":\"1549\",\"type\":\"Row\"},{\"attributes\":{\"editor\":{\"id\":\"1597\"},\"field\":\"index\",\"formatter\":{\"id\":\"1595\"},\"title\":\"index\"},\"id\":\"1598\",\"type\":\"TableColumn\"},{\"attributes\":{\"labels\":[\"Checkbox\"],\"margin\":[5,10,5,10]},\"id\":\"1555\",\"type\":\"CheckboxGroup\"},{\"attributes\":{\"margin\":[5,5,5,5],\"name\":\"VSpacer00095\",\"sizing_mode\":\"stretch_height\"},\"id\":\"1516\",\"type\":\"Spacer\"},{\"attributes\":{\"end\":6,\"format\":\"0[.]00\",\"js_property_callbacks\":{\"change:value\":[{\"id\":\"1627\"}]},\"margin\":[0,10,5,10],\"show_value\":false,\"start\":0,\"tooltips\":false,\"value\":4,\"value_throttled\":4},\"id\":\"1541\",\"type\":\"Slider\"},{\"attributes\":{\"css_classes\":[\"markdown\"],\"margin\":[5,5,5,5],\"name\":\"Markdown00157\",\"text\":\"&lt;ul&gt;\\n&lt;li&gt;&lt;strong&gt;DateRangeSlider&lt;/strong&gt;: &lt;/li&gt;\\n&lt;/ul&gt;\"},\"id\":\"1567\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"css_classes\":[\"markdown\"],\"margin\":[5,5,5,5],\"name\":\"Markdown00177\",\"text\":\"&lt;ul&gt;\\n&lt;li&gt;&lt;strong&gt;FileInput&lt;/strong&gt;: &lt;/li&gt;\\n&lt;/ul&gt;\"},\"id\":\"1584\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{},\"id\":\"1611\",\"type\":\"StringFormatter\"},{\"attributes\":{\"format\":\"0,0.0[00000]\"},\"id\":\"1606\",\"type\":\"NumberFormatter\"},{\"attributes\":{\"css_classes\":[\"markdown\"],\"margin\":[5,5,5,5],\"name\":\"Markdown00133\",\"text\":\"&lt;ul&gt;\\n&lt;li&gt;&lt;strong&gt;FloatSlider&lt;/strong&gt;: &lt;/li&gt;\\n&lt;/ul&gt;\"},\"id\":\"1547\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"margin\":[5,10,5,10]},\"id\":\"1565\",\"type\":\"DatePicker\"},{\"attributes\":{\"css_classes\":[\"markdown\"],\"margin\":[5,5,5,5],\"name\":\"Markdown00165\",\"text\":\"&lt;ul&gt;\\n&lt;li&gt;&lt;strong&gt;PasswordInput&lt;/strong&gt;: &lt;/li&gt;\\n&lt;/ul&gt;\"},\"id\":\"1574\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"css_classes\":[\"markdown\"],\"margin\":[5,5,5,5],\"name\":\"Markdown00068\",\"text\":\"&lt;ul&gt;\\n&lt;li&gt;&lt;strong&gt;RadioBoxGroup&lt;/strong&gt;: &lt;/li&gt;\\n&lt;/ul&gt;\"},\"id\":\"1497\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"end\":3.141,\"format\":\"0[.]00\",\"margin\":[5,10,5,10],\"start\":0,\"step\":0.01,\"value\":1.57,\"value_throttled\":1.57},\"id\":\"1548\",\"type\":\"Slider\"},{\"attributes\":{\"children\":[{\"id\":\"1535\"},{\"id\":\"1536\"}],\"margin\":[0,0,0,0],\"name\":\"Row00116\"},\"id\":\"1534\",\"type\":\"Row\"},{\"attributes\":{\"children\":[{\"id\":\"1513\"},{\"id\":\"1514\"}],\"margin\":[0,0,0,0],\"name\":\"Column00092\",\"sizing_mode\":\"stretch_both\"},\"id\":\"1512\",\"type\":\"Column\"},{\"attributes\":{\"editor\":{\"id\":\"1602\"},\"field\":\"int\",\"formatter\":{\"id\":\"1601\"},\"title\":\"int\"},\"id\":\"1603\",\"type\":\"TableColumn\"},{\"attributes\":{\"margin\":[5,10,5,10],\"value\":\"{'key': [1, 2, 3]}\"},\"id\":\"1588\",\"type\":\"TextInput\"},{\"attributes\":{\"margin\":[5,5,5,5],\"name\":\"VSpacer00096\",\"sizing_mode\":\"stretch_height\"},\"id\":\"1520\",\"type\":\"Spacer\"},{\"attributes\":{\"children\":[{\"id\":\"1532\"},{\"id\":\"1533\"}],\"margin\":[0,0,0,0],\"name\":\"Row00112\"},\"id\":\"1531\",\"type\":\"Row\"},{\"attributes\":{\"css_classes\":[\"markdown\"],\"margin\":[5,5,5,5],\"name\":\"Markdown00153\",\"text\":\"&lt;ul&gt;\\n&lt;li&gt;&lt;strong&gt;DatePicker&lt;/strong&gt;: &lt;/li&gt;\\n&lt;/ul&gt;\"},\"id\":\"1564\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"children\":[{\"id\":\"1577\"},{\"id\":\"1578\"}],\"margin\":[0,0,0,0],\"name\":\"Row00171\"},\"id\":\"1576\",\"type\":\"Row\"},{\"attributes\":{\"children\":[{\"id\":\"1538\"},{\"id\":\"1539\"}],\"margin\":[0,0,0,0],\"name\":\"Row00127\"},\"id\":\"1537\",\"type\":\"Row\"},{\"attributes\":{\"icon\":null,\"label\":\">>\",\"margin\":[5,10,5,10],\"min_width\":50,\"subscribed_events\":[\"button_click\"],\"width\":50},\"id\":\"1518\",\"type\":\"Button\"},{\"attributes\":{\"editor\":{\"id\":\"1612\"},\"field\":\"str\",\"formatter\":{\"id\":\"1611\"},\"title\":\"str\"},\"id\":\"1613\",\"type\":\"TableColumn\"},{\"attributes\":{\"children\":[{\"id\":\"1518\"},{\"id\":\"1519\"}],\"margin\":[0,5,0,5],\"name\":\"Column00094\"},\"id\":\"1517\",\"type\":\"Column\"},{\"attributes\":{\"children\":[{\"id\":\"1620\"},{\"id\":\"1621\"}],\"margin\":[0,0,0,0],\"name\":\"Row00195\"},\"id\":\"1619\",\"type\":\"Row\"},{\"attributes\":{\"active\":0,\"inline\":true,\"labels\":[\"Biology\",\"Chemistry\",\"Physics\"],\"margin\":[5,10,5,10]},\"id\":\"1498\",\"type\":\"RadioGroup\"},{\"attributes\":{\"children\":[{\"id\":\"1516\"},{\"id\":\"1517\"},{\"id\":\"1520\"}],\"margin\":[0,0,0,0],\"name\":\"Column00097\"},\"id\":\"1515\",\"type\":\"Column\"},{\"attributes\":{\"editor\":{\"id\":\"1607\"},\"field\":\"float\",\"formatter\":{\"id\":\"1606\"},\"title\":\"float\"},\"id\":\"1608\",\"type\":\"TableColumn\"},{\"attributes\":{\"css_classes\":[\"markdown\"],\"margin\":[5,5,5,5],\"name\":\"Markdown00149\",\"text\":\"&lt;ul&gt;\\n&lt;li&gt;&lt;strong&gt;DatetimeInput&lt;/strong&gt;: &lt;/li&gt;\\n&lt;/ul&gt;\"},\"id\":\"1561\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"css_classes\":[\"markdown\"],\"margin\":[5,5,5,5],\"name\":\"Markdown00141\",\"text\":\"&lt;ul&gt;\\n&lt;li&gt;&lt;strong&gt;Checkbox&lt;/strong&gt;: &lt;/li&gt;\\n&lt;/ul&gt;\"},\"id\":\"1554\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{},\"id\":\"1601\",\"type\":\"NumberFormatter\"},{\"attributes\":{\"children\":[{\"id\":\"1540\"},{\"id\":\"1541\"}],\"margin\":[0,0,0,0],\"name\":\"Column00122\"},\"id\":\"1539\",\"type\":\"Column\"},{\"attributes\":{\"css_classes\":[\"markdown\"],\"margin\":[5,5,5,5],\"name\":\"Markdown00206\",\"text\":\"&lt;h3&gt;&lt;strong&gt;Numeric - Float&lt;/strong&gt;&lt;/h3&gt;\"},\"id\":\"1545\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"children\":[{\"id\":\"1590\"},{\"id\":\"1591\"}],\"margin\":[0,0,0,0],\"name\":\"Row00187\"},\"id\":\"1589\",\"type\":\"Row\"},{\"attributes\":{\"children\":[{\"id\":\"1522\"},{\"id\":\"1523\"}],\"margin\":[0,0,0,0],\"name\":\"Column00093\",\"sizing_mode\":\"stretch_both\"},\"id\":\"1521\",\"type\":\"Column\"},{\"attributes\":{\"source\":{\"id\":\"1594\"}},\"id\":\"1617\",\"type\":\"CDSView\"},{\"attributes\":{\"css_classes\":[\"markdown\"],\"margin\":[5,5,5,5],\"name\":\"Markdown00137\",\"text\":\"&lt;ul&gt;\\n&lt;li&gt;&lt;strong&gt;RangeSlider&lt;/strong&gt;: &lt;/li&gt;\\n&lt;/ul&gt;\"},\"id\":\"1550\",\"type\":\"panel.models.markup.HTML\"},{\"attributes\":{\"children\":[{\"id\":\"1494\"},{\"id\":\"1495\"}],\"margin\":[0,0,0,0],\"name\":\"Row00066\"},\"id\":\"1493\",\"type\":\"Row\"},{\"attributes\":{\"active\":[0,2],\"labels\":[\"Apple\",\"Banana\",\"Pear\",\"Strawberry\"],\"margin\":[5,10,5,10]},\"id\":\"1508\",\"type\":\"CheckboxButtonGroup\"}],\"root_ids\":[\"1488\",\"1632\"]},\"title\":\"Bokeh Application\",\"version\":\"2.2.3\"}};\n",
       "    var render_items = [{\"docid\":\"11466d06-79a0-4b8e-a2f6-1a1ba4641bb5\",\"root_ids\":[\"1488\"],\"roots\":{\"1488\":\"20f26351-84d3-4ac2-9255-eb30333a7433\"}}];\n",
       "    root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "  }\n",
       "  if (root.Bokeh !== undefined && root.Bokeh.Panel !== undefined && root['Plotly'] !== undefined ) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined && root.Bokeh.Panel !== undefined && root['Plotly'] !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else if (document.readyState == \"complete\") {\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);</script>"
      ],
      "text/plain": [
       "Column\n",
       "    [0] Markdown(str)\n",
       "    [1] Row\n",
       "        [0] Markdown(str)\n",
       "        [1] AutocompleteInput(options=['Biology', 'Chemistry', ...], placeholder='Write something here')\n",
       "    [2] Row\n",
       "        [0] Markdown(str)\n",
       "        [1] RadioButtonGroup(options=['Biology', 'Chemistry', ...], value='Biology')\n",
       "    [3] Row\n",
       "        [0] Markdown(str)\n",
       "        [1] RadioBoxGroup(inline=True, options=['Biology', 'Chemistry', ...], value='Biology')\n",
       "    [4] Row\n",
       "        [0] Markdown(str)\n",
       "        [1] Select(options=['Biology', 'Chemistry', ...], value='Biology')\n",
       "    [5] Markdown(str)\n",
       "    [6] Row\n",
       "        [0] Markdown(str)\n",
       "        [1] CheckBoxGroup(inline=True, options=['Apple', 'Banana', ...], value=['Apple', 'Pear'])\n",
       "    [7] Row\n",
       "        [0] Markdown(str)\n",
       "        [1] CheckButtonGroup(options=['Apple', 'Banana', ...], value=['Apple', 'Pear'])\n",
       "    [8] Row\n",
       "        [0] Markdown(str)\n",
       "        [1] CrossSelector(options=['Apple', 'Banana', ...], value=['Apple', 'Pear'])\n",
       "    [9] Row\n",
       "        [0] Markdown(str)\n",
       "        [1] MultiSelect(options=['Apple', 'Banana', ...], value=['Apple', 'Pear'])\n",
       "    [10] Markdown(str)\n",
       "    [11] Row\n",
       "        [0] Markdown(str)\n",
       "        [1] IntSlider(end=8, step=2, value=4, value_throttled=4)\n",
       "    [12] Row\n",
       "        [0] Markdown(str)\n",
       "        [1] IntRangeSlider(end=10, step=2, value=(2, 8), value_throttled=(2, 8))\n",
       "    [13] Row\n",
       "        [0] Markdown(str)\n",
       "        [1] Player(end=100, loop_policy='loop', value=32)\n",
       "    [14] Row\n",
       "        [0] Markdown(str)\n",
       "        [1] DiscreteSlider(formatter='%d', options=[2, 4, 8, 16, ...], value=32, value_throttled=32)\n",
       "    [15] Row\n",
       "        [0] Markdown(str)\n",
       "        [1] DiscretePlayer(loop_policy='loop', options=[2, 4, 8, 16, ...], value=32)\n",
       "    [16] Markdown(str)\n",
       "    [17] Row\n",
       "        [0] Markdown(str)\n",
       "        [1] FloatSlider(end=3.141, step=0.01, value=1.57, value_throttled=1.57)\n",
       "    [18] Row\n",
       "        [0] Markdown(str)\n",
       "        [1] RangeSlider(end=1000000, format='0.0a', start=100000, step=1, value=(100000, 1000000), value_throttled=(100000, 1000000))\n",
       "    [19] Markdown(str)\n",
       "    [20] Row\n",
       "        [0] Markdown(str)\n",
       "        [1] Checkbox()\n",
       "    [21] Row\n",
       "        [0] Markdown(str)\n",
       "        [1] Toggle()\n",
       "    [22] Markdown(str)\n",
       "    [23] Row\n",
       "        [0] Markdown(str)\n",
       "        [1] DatetimeInput(type=<class 'datetime.datetime'..., value=datetime.datetime(2019, ...)\n",
       "    [24] Row\n",
       "        [0] Markdown(str)\n",
       "        [1] DatePicker()\n",
       "    [25] Row\n",
       "        [0] Markdown(str)\n",
       "        [1] DateRangeSlider(end=datetime.datetime(2019, ..., start=datetime.datetime(2019, ..., value=(datetime.datetime(2019, ..., value_throttled=(datetime.datetime(2019, ...)\n",
       "    [26] Markdown(str)\n",
       "    [27] Row\n",
       "        [0] Markdown(str)\n",
       "        [1] TextInput(placeholder='Enter a string here...')\n",
       "    [28] Row\n",
       "        [0] Markdown(str)\n",
       "        [1] PasswordInput(placeholder='Enter a string here...')\n",
       "    [29] Row\n",
       "        [0] Markdown(str)\n",
       "        [1] TextAreaInput(placeholder='Enter a string here...')\n",
       "    [30] Markdown(str)\n",
       "    [31] Row\n",
       "        [0] Markdown(str)\n",
       "        [1] ColorPicker(value='#99ef78')\n",
       "    [32] Row\n",
       "        [0] Markdown(str)\n",
       "        [1] FileInput(accept='.csv,.json')\n",
       "    [33] Row\n",
       "        [0] Markdown(str)\n",
       "        [1] LiteralInput(type=<class 'dict'>, value={'key': [1, 2, 3]})\n",
       "    [34] Row\n",
       "        [0] Markdown(str)\n",
       "        [1] Button(button_type='primary', name='Click me')\n",
       "    [35] Row\n",
       "        [0] Markdown(str)\n",
       "        [1] DataFrame(value=   int  float s...)\n",
       "    [36] Row\n",
       "        [0] Markdown(str)\n",
       "        [1] FileDownload(file='FileDownload.ipynb', filename='custom_filename.ipynb', label='Download custom_filename....)\n",
       "    [37] Row\n",
       "        [0] Markdown(str)\n",
       "        [1] Progress(width=200)"
      ]
     },
     "execution_count": 28,
     "metadata": {
      "application/vnd.holoviews_exec.v0+json": {
       "id": "1488"
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "widgets"
   ]
  }
 ],
 "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": "3.7.4"
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 },
 "nbformat": 4,
 "nbformat_minor": 4
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