demo_ezhc.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from IPython.display import display\n",
    "\n",
    "import ezhc as hc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'0.24.2'"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.__version__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'1.16.5'"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.__version__"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Examples\n",
    "+ reproduced from http://www.highcharts.com/demo/ and http://www.highcharts.com/stock/demo\n",
    "+ `plot()` has the following arguments:\n",
    "  + `save=True` and optionally `save_name` and optionally `save_path` (default='saved') will save the graph as a stand alone HTML doc under `save_path` after creating it if necessary\n",
    "  + `notebook` (default=True) will not inject `require` and `jquery` libs as they are already available in the classical notebook. Set to False to inject them.\n",
    "  + `version` (default='latest') will specify the highcharts version to use. It is recommended to leave the default value (6.1.2 as of 4sep18).\n",
    "  + `proxy` (default=None') is necessary if you want to check from [highcharts release page](https://github.com/highcharts/highcharts/releases) what the latest version is, and update the list of all past versions. If no proxy is provided, the versions are [hardcoded](https://github.com/oscar6echo/ezhc/blob/64a1afbfae19197bbef8f8c916347df0c8667643/ezhc/_hc_versions.py#L27) in the source code.\n",
    "  \n",
    "+ `options_as_dict()` will return highchart/highstocks options as a Python dictionary\n",
    "  + args: `chart_id` to specify which div for rendering\n",
    "\n",
    "\n",
    "+ `options_as_json()` will return highchart/highstocks options as json\n",
    "  + args: Same save options as `plot()`\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Times series"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Example 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "DatetimeIndex: 15 entries, 2015-01-01 to 2015-01-21\n",
      "Freq: B\n",
      "Data columns (total 2 columns):\n",
      "Track1    15 non-null float64\n",
      "Track2    15 non-null float64\n",
      "dtypes: float64(2)\n",
      "memory usage: 360.0 bytes\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Track1</th>\n",
       "      <th>Track2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2015-01-01</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-02</th>\n",
       "      <td>0.995581</td>\n",
       "      <td>0.993390</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-05</th>\n",
       "      <td>0.972516</td>\n",
       "      <td>1.002118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-06</th>\n",
       "      <td>0.955501</td>\n",
       "      <td>1.006376</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-07</th>\n",
       "      <td>0.973585</td>\n",
       "      <td>0.989508</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Track1    Track2\n",
       "2015-01-01  1.000000  1.000000\n",
       "2015-01-02  0.995581  0.993390\n",
       "2015-01-05  0.972516  1.002118\n",
       "2015-01-06  0.955501  1.006376\n",
       "2015-01-07  0.973585  0.989508"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Track1</th>\n",
       "      <th>Track2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2015-01-15</th>\n",
       "      <td>0.906900</td>\n",
       "      <td>0.981129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-16</th>\n",
       "      <td>0.922057</td>\n",
       "      <td>0.955343</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-19</th>\n",
       "      <td>0.932390</td>\n",
       "      <td>0.940033</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-20</th>\n",
       "      <td>0.922188</td>\n",
       "      <td>0.934606</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-21</th>\n",
       "      <td>0.907404</td>\n",
       "      <td>0.917937</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Track1    Track2\n",
       "2015-01-15  0.906900  0.981129\n",
       "2015-01-16  0.922057  0.955343\n",
       "2015-01-19  0.932390  0.940033\n",
       "2015-01-20  0.922188  0.934606\n",
       "2015-01-21  0.907404  0.917937"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = hc.sample.df_timeseries(N=2, Nb_bd=15+0*3700) #<=473\n",
    "df.info()\n",
    "display(df.head())\n",
    "display(df.tail())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"text-align:center;\"><div id=\"96ce30ab_a511_4275_9358_eee4001b130acontainer_chart\" style=\"display: inline-block\"></div></div><script>\n",
       "    // the Jupyter notebook loads jquery.min.js  and require.js and at the top of the page\n",
       "    // then to make jquery available inside a require module\n",
       "    // the trick is http://www.manuel-strehl.de/dev/load_jquery_before_requirejs.en.html\n",
       "    define('jquery', [], function() {\n",
       "        return jQuery;\n",
       "    });\n",
       "\n",
       "    // hardcoded var - temporary\n",
       "    require(['jquery', 'https://code.highcharts.com/stock/6.1.2/highstock.js', 'https://d3js.org/d3.v3.min.js'], function(jquery,\n",
       "                         Highcharts,\n",
       "                         d3\n",
       "                         ) {\n",
       "        // hardcoded var - temporary\n",
       "        require(['https://code.highcharts.com/stock/6.1.2/highcharts-more.js', 'https://code.highcharts.com/stock/6.1.2/modules/exporting.js', 'https://code.highcharts.com/stock/6.1.2/modules/offline-exporting.js', 'https://code.highcharts.com/stock/6.1.2/modules/export-data.js', 'https://code.highcharts.com/stock/6.1.2/modules/drilldown.js', 'https://code.highcharts.com/stock/6.1.2/modules/heatmap.js', 'https://code.highcharts.com/stock/6.1.2/modules/treemap.js', 'https://code.highcharts.com/stock/6.1.2/modules/sunburst.js', 'https://cdn.datatables.net/1.10.10/js/jquery.dataTables.min.js'], function(hcMore,\n",
       "                             exporting,\n",
       "                             offLineExporting,\n",
       "                             exportData,\n",
       "                             drilldown,\n",
       "                             heatmap,\n",
       "                             treemap,\n",
       "                             sunburst,\n",
       "                             dataTables,\n",
       "                             ) {\n",
       "            hcMore(Highcharts);\n",
       "            exporting(Highcharts);\n",
       "            offLineExporting(Highcharts);\n",
       "            exportData(Highcharts);\n",
       "            drilldown(Highcharts);\n",
       "            heatmap(Highcharts);\n",
       "            treemap(Highcharts);\n",
       "            sunburst(Highcharts);\n",
       "            \n",
       "    var options = {\"credits\":{\"enabled\":true,\"text\":\"Source: XXX Flow Strategy & Solutions.\",\"href\":\"http:\\/\\/www.example.com\"},\"exporting\":{\"enabled\":true},\"chart\":{\"animation\":false,\"width\":650,\"height\":550,\"zoomType\":\"xy\",\"renderTo\":\"96ce30ab_a511_4275_9358_eee4001b130acontainer_chart\"},\"plotOptions\":{\"series\":{\"animation\":false,\"compare\":\"percent\"},\"line\":{\"animation\":false},\"column\":{\"animation\":false}},\"legend\":{\"enabled\":true,\"layout\":\"horizontal\",\"align\":\"center\",\"maxHeight\":100},\"tooltip\":{\"enabled\":true,\"valueDecimals\":2,\"pointFormat\":\"<span style=\\\"color:{series.color}\\\">{series.name}<\\/span>: <b>{point.y}<\\/b> ({point.change}%)<br\\/>\",\"positioner\":\"function (labelWidth, labelHeight, point) {\\n    var roundUp100 = function(d) { return 100*Math.floor(d\\/100); },\\n        labelWidth = roundUp100(labelWidth),\\n        chart = window.charts['96ce30ab_a511_4275_9358_eee4001b130a'];\\n\\n    var tooltipX, tooltipY;\\n        var testX = (point.plotX + labelWidth * 0.7 > chart.plotWidth \\/ 2) && (point.plotX - labelWidth * 0.7 < chart.plotWidth \\/ 2);\\n        var testY = point.plotY < labelHeight * 0.7;\\n\\n    if (testX && testY) {\\n                tooltipX = chart.plotLeft + (chart.plotWidth - labelWidth) \\/ 2;\\n        tooltipY = chart.plotTop + chart.plotHeight - labelHeight;\\n    } else {\\n                tooltipX = chart.plotLeft + (chart.plotWidth - labelWidth) \\/ 2;\\n        tooltipY = chart.plotTop;\\n    }\\n\\n    return {\\n        x: tooltipX,\\n        y: tooltipY\\n    };\\n}\\n\\n\"},\"title\":{\"text\":\"Time series plotted with HighStock\"},\"subtitle\":{\"text\":\"Transparent access to the underlying js lib\"},\"yAxis\":{\"labels\":{\"formatter\":\"function() { return (this.value > 0 ? ' + ' : '') + this.value + '%'; }\\n\"},\"gridLineWidth\":1.0,\"gridLineDashStyle\":\"Dot\"},\"xAxis\":{\"gridLineWidth\":1.0,\"gridLineDashStyle\":\"Dot\"},\"series\":[{\"name\":\"Track1\",\"yAxis\":0,\"data\":[[1420070400000,1.0],[1420156800000,0.9955809138],[1420416000000,0.9725156537],[1420502400000,0.955500866],[1420588800000,0.9735852581],[1420675200000,0.9709321132],[1420761600000,0.9726862121],[1421020800000,0.9570236218],[1421107200000,0.9442796901],[1421193600000,0.9139256061],[1421280000000,0.906900147],[1421366400000,0.9220566792],[1421625600000,0.9323895174],[1421712000000,0.922188246],[1421798400000,0.9074043661]]},{\"name\":\"Track2\",\"yAxis\":0,\"data\":[[1420070400000,1.0],[1420156800000,0.9933897589],[1420416000000,1.0021180625],[1420502400000,1.0063755871],[1420588800000,0.989508076],[1420675200000,0.9791839709],[1420761600000,0.9808684145],[1421020800000,0.958599166],[1421107200000,0.9663917939],[1421193600000,0.9724325877],[1421280000000,0.9811292493],[1421366400000,0.9553434953],[1421625600000,0.9400325607],[1421712000000,0.9346055877],[1421798400000,0.9179372035]]}]};\n",
       "    \n",
       "options = JSON.stringify(options);\n",
       "\n",
       "options = JSON.parse(options, function (key, value) {\n",
       "\n",
       "\tif (value && (typeof value === \"string\")) {\n",
       "\n",
       "\t\t\t\tvar check1 = (value.replace(/\\s+/g, '').replace(/\\r?\\n|\\r/g, '').substr(0, 8) == \"function\"),\n",
       "\t\t\tcheck2 = (value.replace(/\\s+/g, '').replace(/\\r?\\n|\\r/g, '').substr(0, 9) == \"(function\");\n",
       "\n",
       "\n",
       "\t\tif (check1) {\n",
       "\t\t\tvar startBody = value.indexOf('{') + 1;\n",
       "\t\t\tvar endBody = value.lastIndexOf('}');\n",
       "\t\t\tvar startArgs = value.indexOf('(') + 1;\n",
       "\t\t\tvar endArgs = value.indexOf(')');\n",
       "\n",
       "\t\t\treturn new Function(value.substring(startArgs, endArgs),\n",
       "\t\t\t\tvalue.substring(startBody, endBody));\n",
       "\t\t}\n",
       "\t\tif (check2) {\n",
       "\t\t\treturn eval(value);\n",
       "\t\t}\n",
       "\n",
       "\t}\n",
       "\n",
       "\treturn value;\n",
       "\n",
       "});\n",
       "    \n",
       "\n",
       "    var opt = $.extend(true, {}, options);\n",
       "    if (window.opts==undefined) {\n",
       "        window.opts = {};\n",
       "    }\n",
       "    window.opts['96ce30ab_a511_4275_9358_eee4001b130a'] = opt;\n",
       "\n",
       "    console.log('Highcharts/Highstock options accessible as opts[\"96ce30ab_a511_4275_9358_eee4001b130a\"]');\n",
       "    \n",
       "            \n",
       "function create_table_0(uuid, chart) {\n",
       "    if (typeof window.charts == \"undefined\") {\n",
       "        window.charts = {};\n",
       "    }\n",
       "    window.charts[uuid] = chart;\n",
       "    console.log('create_table_0 '+uuid);\n",
       "}\n",
       "\n",
       "            window.chart = new Highcharts.StockChart(options, function(chart) { create_table_0(\"96ce30ab_a511_4275_9358_eee4001b130a\", chart); });\n",
       "            \n",
       "    console.log('Highcharts/Highstock chart accessible as charts[\"96ce30ab_a511_4275_9358_eee4001b130a\"]');\n",
       "    \n",
       "        });\n",
       "    });\n",
       "    </script>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g = hc.Highstock()\n",
    "\n",
    "g.chart.width = 650\n",
    "g.chart.height = 550\n",
    "g.legend.enabled = True\n",
    "g.legend.layout = 'horizontal'\n",
    "g.legend.align = 'center'\n",
    "g.legend.maxHeight = 100\n",
    "g.tooltip.enabled = True\n",
    "g.tooltip.valueDecimals = 2\n",
    "g.exporting.enabled = True\n",
    "\n",
    "g.chart.zoomType = 'xy'\n",
    "g.title.text = 'Time series plotted with HighStock'\n",
    "g.subtitle.text = 'Transparent access to the underlying js lib'\n",
    "\n",
    "g.plotOptions.series.compare = 'percent'\n",
    "g.yAxis.labels.formatter = hc.scripts.FORMATTER_PERCENT\n",
    "g.tooltip.pointFormat = hc.scripts.TOOLTIP_POINT_FORMAT_PERCENT\n",
    "g.tooltip.positioner = hc.scripts.TOOLTIP_POSITIONER_CENTER_TOP\n",
    "\n",
    "g.xAxis.gridLineWidth = 1.0\n",
    "g.xAxis.gridLineDashStyle = 'Dot'\n",
    "g.yAxis.gridLineWidth = 1.0\n",
    "g.yAxis.gridLineDashStyle = 'Dot'\n",
    "\n",
    "g.credits.enabled = True\n",
    "g.credits.text = 'Source: XXX Flow Strategy & Solutions.'\n",
    "g.credits.href = 'http://www.example.com'\n",
    "\n",
    "g.series = hc.build.series(df)\n",
    "\n",
    "g.plot(save=False, version='6.1.2', center=True)\n",
    "\n",
    "## IF BEHIND A CORPORATE PROXY\n",
    "## IF NOT PROXY IS PASSED TO .plot() THEN NO HIGHCHARTS VERSION UPDATE IS PERFORMED\n",
    "## HARDODED VERSIONS ARE USED INSTEAD\n",
    "# p = hc.Proxy('mylogin', 'mypwd', 'myproxyhost', 'myproxyport')\n",
    "# g.plot(save=False, version='latest', proxy=p)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'credits': {'enabled': True,\n",
       "  'text': 'Source: XXX Flow Strategy & Solutions.',\n",
       "  'href': 'http://www.example.com'},\n",
       " 'exporting': {'enabled': True},\n",
       " 'chart': {'animation': False,\n",
       "  'width': 650,\n",
       "  'height': 550,\n",
       "  'zoomType': 'xy',\n",
       "  'renderTo': 'chart_id'},\n",
       " 'plotOptions': {'series': {'animation': False, 'compare': 'percent'},\n",
       "  'line': {'animation': False},\n",
       "  'column': {'animation': False}},\n",
       " 'legend': {'enabled': True,\n",
       "  'layout': 'horizontal',\n",
       "  'align': 'center',\n",
       "  'maxHeight': 100},\n",
       " 'tooltip': {'enabled': True,\n",
       "  'valueDecimals': 2,\n",
       "  'pointFormat': '<span style=\"color:{series.color}\">{series.name}</span>: <b>{point.y}</b> ({point.change}%)<br/>',\n",
       "  'positioner': \"function (labelWidth, labelHeight, point) {\\n    var roundUp100 = function(d) { return 100*Math.floor(d/100); },\\n        labelWidth = roundUp100(labelWidth),\\n        chart = window.charts['__uuid__'];\\n\\n    var tooltipX, tooltipY;\\n        var testX = (point.plotX + labelWidth * 0.7 > chart.plotWidth / 2) && (point.plotX - labelWidth * 0.7 < chart.plotWidth / 2);\\n        var testY = point.plotY < labelHeight * 0.7;\\n\\n    if (testX && testY) {\\n                tooltipX = chart.plotLeft + (chart.plotWidth - labelWidth) / 2;\\n        tooltipY = chart.plotTop + chart.plotHeight - labelHeight;\\n    } else {\\n                tooltipX = chart.plotLeft + (chart.plotWidth - labelWidth) / 2;\\n        tooltipY = chart.plotTop;\\n    }\\n\\n    return {\\n        x: tooltipX,\\n        y: tooltipY\\n    };\\n}\\n\\n\"},\n",
       " 'title': {'text': 'Time series plotted with HighStock'},\n",
       " 'subtitle': {'text': 'Transparent access to the underlying js lib'},\n",
       " 'yAxis': {'labels': {'formatter': \"function() { return (this.value > 0 ? ' + ' : '') + this.value + '%'; }\\n\"},\n",
       "  'gridLineWidth': 1.0,\n",
       "  'gridLineDashStyle': 'Dot'},\n",
       " 'xAxis': {'gridLineWidth': 1.0, 'gridLineDashStyle': 'Dot'},\n",
       " 'series': [{'name': 'Track1',\n",
       "   'yAxis': 0,\n",
       "   'data': [[Timestamp('2015-01-01 00:00:00', freq='B'), 1.0],\n",
       "    [Timestamp('2015-01-02 00:00:00', freq='B'), 0.9955809138122033],\n",
       "    [Timestamp('2015-01-05 00:00:00', freq='B'), 0.9725156536640029],\n",
       "    [Timestamp('2015-01-06 00:00:00', freq='B'), 0.9555008659684235],\n",
       "    [Timestamp('2015-01-07 00:00:00', freq='B'), 0.9735852580931271],\n",
       "    [Timestamp('2015-01-08 00:00:00', freq='B'), 0.9709321132210923],\n",
       "    [Timestamp('2015-01-09 00:00:00', freq='B'), 0.9726862121296252],\n",
       "    [Timestamp('2015-01-12 00:00:00', freq='B'), 0.9570236218094534],\n",
       "    [Timestamp('2015-01-13 00:00:00', freq='B'), 0.9442796901261044],\n",
       "    [Timestamp('2015-01-14 00:00:00', freq='B'), 0.9139256061055365],\n",
       "    [Timestamp('2015-01-15 00:00:00', freq='B'), 0.9069001469685026],\n",
       "    [Timestamp('2015-01-16 00:00:00', freq='B'), 0.9220566792158227],\n",
       "    [Timestamp('2015-01-19 00:00:00', freq='B'), 0.9323895174200195],\n",
       "    [Timestamp('2015-01-20 00:00:00', freq='B'), 0.9221882459625789],\n",
       "    [Timestamp('2015-01-21 00:00:00', freq='B'), 0.907404366111972]]},\n",
       "  {'name': 'Track2',\n",
       "   'yAxis': 0,\n",
       "   'data': [[Timestamp('2015-01-01 00:00:00', freq='B'), 1.0],\n",
       "    [Timestamp('2015-01-02 00:00:00', freq='B'), 0.9933897589049112],\n",
       "    [Timestamp('2015-01-05 00:00:00', freq='B'), 1.0021180625281059],\n",
       "    [Timestamp('2015-01-06 00:00:00', freq='B'), 1.0063755870959292],\n",
       "    [Timestamp('2015-01-07 00:00:00', freq='B'), 0.9895080760415528],\n",
       "    [Timestamp('2015-01-08 00:00:00', freq='B'), 0.9791839708651677],\n",
       "    [Timestamp('2015-01-09 00:00:00', freq='B'), 0.9808684145393846],\n",
       "    [Timestamp('2015-01-12 00:00:00', freq='B'), 0.9585991659947815],\n",
       "    [Timestamp('2015-01-13 00:00:00', freq='B'), 0.9663917938818657],\n",
       "    [Timestamp('2015-01-14 00:00:00', freq='B'), 0.9724325877021651],\n",
       "    [Timestamp('2015-01-15 00:00:00', freq='B'), 0.9811292493280032],\n",
       "    [Timestamp('2015-01-16 00:00:00', freq='B'), 0.9553434953423843],\n",
       "    [Timestamp('2015-01-19 00:00:00', freq='B'), 0.9400325607426828],\n",
       "    [Timestamp('2015-01-20 00:00:00', freq='B'), 0.934605587680784],\n",
       "    [Timestamp('2015-01-21 00:00:00', freq='B'), 0.9179372034526284]]}]}"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "options_as_dict = g.options_as_dict()\n",
    "options_as_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'{\"credits\":{\"enabled\":true,\"text\":\"Source: XXX Flow Strategy & Solutions.\",\"href\":\"http:\\\\/\\\\/www.example.com\"},\"exporting\":{\"enabled\":true},\"chart\":{\"animation\":false,\"width\":650,\"height\":550,\"zoomType\":\"xy\",\"renderTo\":\"chart_id\"},\"plotOptions\":{\"series\":{\"animation\":false,\"compare\":\"percent\"},\"line\":{\"animation\":false},\"column\":{\"animation\":false}},\"legend\":{\"enabled\":true,\"layout\":\"horizontal\",\"align\":\"center\",\"maxHeight\":100},\"tooltip\":{\"enabled\":true,\"valueDecimals\":2,\"pointFormat\":\"<span style=\\\\\"color:{series.color}\\\\\">{series.name}<\\\\/span>: <b>{point.y}<\\\\/b> ({point.change}%)<br\\\\/>\",\"positioner\":\"function (labelWidth, labelHeight, point) {\\\\n    var roundUp100 = function(d) { return 100*Math.floor(d\\\\/100); },\\\\n        labelWidth = roundUp100(labelWidth),\\\\n        chart = window.charts[\\'__uuid__\\'];\\\\n\\\\n    var tooltipX, tooltipY;\\\\n        var testX = (point.plotX + labelWidth * 0.7 > chart.plotWidth \\\\/ 2) && (point.plotX - labelWidth * 0.7 < chart.plotWidth \\\\/ 2);\\\\n        var testY = point.plotY < labelHeight * 0.7;\\\\n\\\\n    if (testX && testY) {\\\\n                tooltipX = chart.plotLeft + (chart.plotWidth - labelWidth) \\\\/ 2;\\\\n        tooltipY = chart.plotTop + chart.plotHeight - labelHeight;\\\\n    } else {\\\\n                tooltipX = chart.plotLeft + (chart.plotWidth - labelWidth) \\\\/ 2;\\\\n        tooltipY = chart.plotTop;\\\\n    }\\\\n\\\\n    return {\\\\n        x: tooltipX,\\\\n        y: tooltipY\\\\n    };\\\\n}\\\\n\\\\n\"},\"title\":{\"text\":\"Time series plotted with HighStock\"},\"subtitle\":{\"text\":\"Transparent access to the underlying js lib\"},\"yAxis\":{\"labels\":{\"formatter\":\"function() { return (this.value > 0 ? \\' + \\' : \\'\\') + this.value + \\'%\\'; }\\\\n\"},\"gridLineWidth\":1.0,\"gridLineDashStyle\":\"Dot\"},\"xAxis\":{\"gridLineWidth\":1.0,\"gridLineDashStyle\":\"Dot\"},\"series\":[{\"name\":\"Track1\",\"yAxis\":0,\"data\":[[1420070400000,1.0],[1420156800000,0.9955809138],[1420416000000,0.9725156537],[1420502400000,0.955500866],[1420588800000,0.9735852581],[1420675200000,0.9709321132],[1420761600000,0.9726862121],[1421020800000,0.9570236218],[1421107200000,0.9442796901],[1421193600000,0.9139256061],[1421280000000,0.906900147],[1421366400000,0.9220566792],[1421625600000,0.9323895174],[1421712000000,0.922188246],[1421798400000,0.9074043661]]},{\"name\":\"Track2\",\"yAxis\":0,\"data\":[[1420070400000,1.0],[1420156800000,0.9933897589],[1420416000000,1.0021180625],[1420502400000,1.0063755871],[1420588800000,0.989508076],[1420675200000,0.9791839709],[1420761600000,0.9808684145],[1421020800000,0.958599166],[1421107200000,0.9663917939],[1421193600000,0.9724325877],[1421280000000,0.9811292493],[1421366400000,0.9553434953],[1421625600000,0.9400325607],[1421712000000,0.9346055877],[1421798400000,0.9179372035]]}]}'"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "options_as_json = g.options_as_json()\n",
    "options_as_json"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Example 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Track1</th>\n",
       "      <th>Track2</th>\n",
       "      <th>Track3</th>\n",
       "      <th>Cash</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2015-01-01</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-02</th>\n",
       "      <td>0.995581</td>\n",
       "      <td>1.005348</td>\n",
       "      <td>0.966949</td>\n",
       "      <td>1.000154</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-05</th>\n",
       "      <td>0.972516</td>\n",
       "      <td>1.010849</td>\n",
       "      <td>0.989969</td>\n",
       "      <td>1.000231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-06</th>\n",
       "      <td>0.955501</td>\n",
       "      <td>1.029556</td>\n",
       "      <td>0.982879</td>\n",
       "      <td>1.000308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-01-07</th>\n",
       "      <td>0.973585</td>\n",
       "      <td>1.016824</td>\n",
       "      <td>0.973665</td>\n",
       "      <td>1.000385</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Track1    Track2    Track3      Cash\n",
       "2015-01-01  1.000000  1.000000  1.000000  1.000077\n",
       "2015-01-02  0.995581  1.005348  0.966949  1.000154\n",
       "2015-01-05  0.972516  1.010849  0.989969  1.000231\n",
       "2015-01-06  0.955501  1.029556  0.982879  1.000308\n",
       "2015-01-07  0.973585  1.016824  0.973665  1.000385"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Track1</th>\n",
       "      <th>Track2</th>\n",
       "      <th>Track3</th>\n",
       "      <th>Cash</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2022-08-25</th>\n",
       "      <td>0.529755</td>\n",
       "      <td>1.523684</td>\n",
       "      <td>0.824704</td>\n",
       "      <td>1.165946</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-08-26</th>\n",
       "      <td>0.539018</td>\n",
       "      <td>1.538276</td>\n",
       "      <td>0.820019</td>\n",
       "      <td>1.166035</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-08-29</th>\n",
       "      <td>0.540658</td>\n",
       "      <td>1.536633</td>\n",
       "      <td>0.812321</td>\n",
       "      <td>1.166125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-08-30</th>\n",
       "      <td>0.555569</td>\n",
       "      <td>1.532476</td>\n",
       "      <td>0.818423</td>\n",
       "      <td>1.166215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-08-31</th>\n",
       "      <td>0.546018</td>\n",
       "      <td>1.506516</td>\n",
       "      <td>0.828384</td>\n",
       "      <td>1.166305</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Track1    Track2    Track3      Cash\n",
       "2022-08-25  0.529755  1.523684  0.824704  1.165946\n",
       "2022-08-26  0.539018  1.538276  0.820019  1.166035\n",
       "2022-08-29  0.540658  1.536633  0.812321  1.166125\n",
       "2022-08-30  0.555569  1.532476  0.818423  1.166215\n",
       "2022-08-31  0.546018  1.506516  0.828384  1.166305"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = hc.sample.df_timeseries(N=3, Nb_bd=2000)\n",
    "df['Cash'] = 1.0+0.02/260\n",
    "df['Cash'] = df['Cash'].cumprod()\n",
    "display(df.head())\n",
    "display(df.tail())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div id=\"b6579794_ef6e_4c49_ab54_d102d927b401container_chart\"></div><script>\n",
       "    // the Jupyter notebook loads jquery.min.js  and require.js and at the top of the page\n",
       "    // then to make jquery available inside a require module\n",
       "    // the trick is http://www.manuel-strehl.de/dev/load_jquery_before_requirejs.en.html\n",
       "    define('jquery', [], function() {\n",
       "        return jQuery;\n",
       "    });\n",
       "\n",
       "    // hardcoded var - temporary\n",
       "    require(['jquery', 'https://code.highcharts.com/stock/6.1.2/highstock.js', 'https://d3js.org/d3.v3.min.js'], function(jquery,\n",
       "                         Highcharts,\n",
       "                         d3\n",
       "                         ) {\n",
       "        // hardcoded var - temporary\n",
       "        require(['https://code.highcharts.com/stock/6.1.2/highcharts-more.js', 'https://code.highcharts.com/stock/6.1.2/modules/exporting.js', 'https://code.highcharts.com/stock/6.1.2/modules/offline-exporting.js', 'https://code.highcharts.com/stock/6.1.2/modules/export-data.js', 'https://code.highcharts.com/stock/6.1.2/modules/drilldown.js', 'https://code.highcharts.com/stock/6.1.2/modules/heatmap.js', 'https://code.highcharts.com/stock/6.1.2/modules/treemap.js', 'https://code.highcharts.com/stock/6.1.2/modules/sunburst.js', 'https://cdn.datatables.net/1.10.10/js/jquery.dataTables.min.js'], function(hcMore,\n",
       "                             exporting,\n",
       "                             offLineExporting,\n",
       "                             exportData,\n",
       "                             drilldown,\n",
       "                             heatmap,\n",
       "                             treemap,\n",
       "                             sunburst,\n",
       "                             dataTables,\n",
       "                             ) {\n",
       "            hcMore(Highcharts);\n",
       "            exporting(Highcharts);\n",
       "            offLineExporting(Highcharts);\n",
       "            exportData(Highcharts);\n",
       "            drilldown(Highcharts);\n",
       "            heatmap(Highcharts);\n",
       "            treemap(Highcharts);\n",
       "            sunburst(Highcharts);\n",
       "            \n",
       "    var options = {\"credits\":{\"enabled\":true,\"text\":\"Source: XXX Flow Strategy & Solutions.\",\"href\":\"http:\\/\\/www.example.com\"},\"exporting\":{\"enabled\":true},\"chart\":{\"animation\":false,\"height\":550,\"zoomType\":\"xy\",\"renderTo\":\"b6579794_ef6e_4c49_ab54_d102d927b401container_chart\"},\"plotOptions\":{\"series\":{\"animation\":false,\"compare\":\"percent\"},\"line\":{\"animation\":false},\"column\":{\"animation\":false}},\"legend\":{\"enabled\":true,\"layout\":\"horizontal\",\"align\":\"center\",\"maxHeight\":100},\"tooltip\":{\"enabled\":true,\"valueDecimals\":2,\"pointFormat\":\"<span style=\\\"color:{series.color}\\\">{series.name}<\\/span>: <b>{point.y}<\\/b> ({point.change}%)<br\\/>\",\"positioner\":\"function (labelWidth, labelHeight, point) {\\n    var roundUp100 = function(d) { return 100*Math.floor(d\\/100); },\\n        labelWidth = roundUp100(labelWidth),\\n        chart = window.charts['b6579794_ef6e_4c49_ab54_d102d927b401'];\\n\\n    var tooltipX, tooltipY;\\n        var testX = (point.plotX + labelWidth * 0.7 > chart.plotWidth \\/ 2) && (point.plotX - labelWidth * 0.7 < chart.plotWidth \\/ 2);\\n        var testY = point.plotY < labelHeight * 0.7;\\n\\n    if (testX && testY) {\\n                tooltipX = chart.plotLeft + (chart.plotWidth - labelWidth) \\/ 2;\\n        tooltipY = chart.plotTop + chart.plotHeight - labelHeight;\\n    } else {\\n                tooltipX = chart.plotLeft + (chart.plotWidth - labelWidth) \\/ 2;\\n        tooltipY = chart.plotTop;\\n    }\\n\\n    return {\\n        x: tooltipX,\\n        y: tooltipY\\n    };\\n}\\n\\n\"},\"title\":{\"text\":\"Time series plotted with HighStock\"},\"subtitle\":{\"text\":\"Transparent access to the underlying js lib\"},\"yAxis\":{\"labels\":{\"formatter\":\"function() { return (this.value > 0 ? 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       "    \n",
       "options = JSON.stringify(options);\n",
       "\n",
       "options = JSON.parse(options, function (key, value) {\n",
       "\n",
       "\tif (value && (typeof value === \"string\")) {\n",
       "\n",
       "\t\t\t\tvar check1 = (value.replace(/\\s+/g, '').replace(/\\r?\\n|\\r/g, '').substr(0, 8) == \"function\"),\n",
       "\t\t\tcheck2 = (value.replace(/\\s+/g, '').replace(/\\r?\\n|\\r/g, '').substr(0, 9) == \"(function\");\n",
       "\n",
       "\n",
       "\t\tif (check1) {\n",
       "\t\t\tvar startBody = value.indexOf('{') + 1;\n",
       "\t\t\tvar endBody = value.lastIndexOf('}');\n",
       "\t\t\tvar startArgs = value.indexOf('(') + 1;\n",
       "\t\t\tvar endArgs = value.indexOf(')');\n",
       "\n",
       "\t\t\treturn new Function(value.substring(startArgs, endArgs),\n",
       "\t\t\t\tvalue.substring(startBody, endBody));\n",
       "\t\t}\n",
       "\t\tif (check2) {\n",
       "\t\t\treturn eval(value);\n",
       "\t\t}\n",
       "\n",
       "\t}\n",
       "\n",
       "\treturn value;\n",
       "\n",
       "});\n",
       "    \n",
       "\n",
       "    var opt = $.extend(true, {}, options);\n",
       "    if (window.opts==undefined) {\n",
       "        window.opts = {};\n",
       "    }\n",
       "    window.opts['b6579794_ef6e_4c49_ab54_d102d927b401'] = opt;\n",
       "\n",
       "    console.log('Highcharts/Highstock options accessible as opts[\"b6579794_ef6e_4c49_ab54_d102d927b401\"]');\n",
       "    \n",
       "            \n",
       "function create_table_0(uuid, chart) {\n",
       "    if (typeof window.charts == \"undefined\") {\n",
       "        window.charts = {};\n",
       "    }\n",
       "    window.charts[uuid] = chart;\n",
       "    console.log('create_table_0 '+uuid);\n",
       "}\n",
       "\n",
       "            window.chart = new Highcharts.StockChart(options, function(chart) { create_table_0(\"b6579794_ef6e_4c49_ab54_d102d927b401\", chart); });\n",
       "            \n",
       "    console.log('Highcharts/Highstock chart accessible as charts[\"b6579794_ef6e_4c49_ab54_d102d927b401\"]');\n",
       "    \n",
       "        });\n",
       "    });\n",
       "    </script>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g = hc.Highstock()\n",
    "\n",
    "g.chart.height = 550\n",
    "g.legend.enabled = True\n",
    "g.legend.layout = 'horizontal'\n",
    "g.legend.align = 'center'\n",
    "g.legend.maxHeight = 100\n",
    "g.tooltip.enabled = True\n",
    "g.tooltip.valueDecimals = 2\n",
    "g.exporting.enabled = True\n",
    "\n",
    "g.chart.zoomType = 'xy'\n",
    "g.title.text = 'Time series plotted with HighStock'\n",
    "g.subtitle.text = 'Transparent access to the underlying js lib'\n",
    "\n",
    "g.plotOptions.series.compare = 'percent'\n",
    "g.yAxis.labels.formatter = hc.scripts.FORMATTER_PERCENT\n",
    "g.tooltip.pointFormat = hc.scripts.TOOLTIP_POINT_FORMAT_PERCENT\n",
    "g.tooltip.positioner = hc.scripts.TOOLTIP_POSITIONER_CENTER_TOP\n",
    "\n",
    "g.xAxis.gridLineWidth = 1.0\n",
    "g.xAxis.gridLineDashStyle = 'Dot'\n",
    "g.yAxis.gridLineWidth = 1.0\n",
    "g.yAxis.gridLineDashStyle = 'Dot'\n",
    "\n",
    "g.credits.enabled = True\n",
    "g.credits.text = 'Source: XXX Flow Strategy & Solutions.'\n",
    "g.credits.href = 'http://www.example.com'\n",
    "\n",
    "\n",
    "g.series = hc.build.series(df, visible={'Track3': False})\n",
    "\n",
    "\n",
    "g.plot(save=True, version='6.1.2', save_name='NoTable')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Example 3"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Exception\n",
    "+ The function2 `plot_with_table1()` and `plot_with_table2()` are exceptions with respect to the idea of this module: It is NOT just transparent access to Highchart/Highstock. I added a table (based on datatable.net) to display more data about the period selected. This measurements cannot be calculated beforehand, so it has to be postprocessing.  \n",
    "+ If `save=True` function `plot_with_table1/2()` will create a standalone HTML file containing the output in subdirectory 'saved'. Optionally `save_name` can be set - an automatic time tag is added to keep things orderly, unless `dated=False`.  \n",
    "+ **NOTE**: Because of css collision between notebook and datatable, the table in the saved file is better looking than in the notebook output area.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# g.plot_with_table_1(dated=False, version='6.1.2', save=True, save_name='Table1')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Example 4"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Footer\n",
    "+ A footer can be added to the plot. This is interesting if the plot is saved as a stand alone file.\n",
    "+ The footer is HTML you can write from scratch but a helper function and a jinja template make it easy.\n",
    "+ Images are embeded upon save so the saved file is standalone. Only an internet connection is required to download the js libraries."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "<link rel=\"stylesheet\" type=\"text/css\" href=\"https://cdn.datatables.net/1.10.10/css/jquery.dataTables.min.css\">\n",
       "\n",
       "<style>\n",
       "div.output_area .rendered_html table.dataTable {\n",
       "    margin: auto;\n",
       "    border: 0;\n",
       "    border-bottom: 1px solid #111;\n",
       "}\n",
       ".rendered_html table.dataTable tr, .rendered_html table.dataTable th, .rendered_html table.dataTable td {\n",
       "    border: inherit;\n",
       "}\n",
       ".rendered_html table.dataTable th {\n",
       "    border-bottom: 1px solid #111;\n",
       "}\n",
       "\n",
       "</style>\n",
       "\n",
       "<div id=\"ce8a6797_9a20_4de6_bf0b_0c393f048cf1\">\n",
       "    <div id=\"ce8a6797_9a20_4de6_bf0b_0c393f048cf1container_chart\"></div>\n",
       "    <br/>\n",
       "    <div class=\"container_table\"></div>\n",
       "    <br/>        \n",
       "    <div class=\"container_table2\">\n",
       "        <div class=\"table_date\" style=\"width:100%; margin:0 auto; text-align:center; \"></div>\n",
       "        <br/>\n",
       "        <div class=\"container_slider\" style=\"width:100%; margin:0 auto; text-align:center;\">\n",
       "            Drawdown Number of bdays\n",
       "            <input class=\"slider\" type=range min=0 max=260 val=20 step=1 style=\"width:150px; display: inline;\"></input>\n",
       "            <input class=\"nb_bdays\" val=20 size=3 maxlength=3 style=\"display: inline;\"></input>\n",
       "        </div>\n",
       "    </div>\n",
       "</div>\n",
       "\n",
       "<div id=\"ce8a6797_9a20_4de6_bf0b_0c393f048cf1container_chart\"></div><style> \n",
       "    .commentce8a6797_9a20_4de6_bf0b_0c393f048cf1 {\n",
       "        margin-left: 20%;\n",
       "        margin-right: 20%;\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "    .leftce8a6797_9a20_4de6_bf0b_0c393f048cf1 {\n",
       "        float: left;\n",
       "        width: 10%;\n",
       "    }\n",
       "    .leftce8a6797_9a20_4de6_bf0b_0c393f048cf1 img {\n",
       "        display: block;\n",
       "        margin-left: auto;\n",
       "        margin-right: auto;\n",
       "    }\n",
       "    .rightce8a6797_9a20_4de6_bf0b_0c393f048cf1 {\n",
       "        float: right;\n",
       "        width: 88%;\n",
       "        font-size: 10;\n",
       "    }\n",
       "</style>\n",
       "\n",
       "<br/>\n",
       "<br/>\n",
       "<div class=\"commentce8a6797_9a20_4de6_bf0b_0c393f048cf1\">\n",
       "    <div class=\"leftce8a6797_9a20_4de6_bf0b_0c393f048cf1\">\n",
       "        <img src=\"data:image/png;base64,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\" height=\"40\" width=\"40\"/>\n",
       "    </div>\n",
       "    <div class=\"rightce8a6797_9a20_4de6_bf0b_0c393f048cf1\">\n",
       "        \n",
       "THE VALUE OF YOUR INVESTMENT MAY FLUCTUATE. \n",
       "THE FIGURES RELATING TO SIMULATED PAST PERFORMANCES REFER TO PAST \n",
       "PERIODS AND ARE NOT A RELIABLE INDICATOR OF FUTURE RESULTS. \n",
       "THIS ALSO APPLIES TO HISTORICAL MARKET DATA.\n",
       "\n",
       "    </div>\n",
       "</div><script>\n",
       "    // the Jupyter notebook loads jquery.min.js  and require.js and at the top of the page\n",
       "    // then to make jquery available inside a require module\n",
       "    // the trick is http://www.manuel-strehl.de/dev/load_jquery_before_requirejs.en.html\n",
       "    define('jquery', [], function() {\n",
       "        return jQuery;\n",
       "    });\n",
       "\n",
       "    // hardcoded var - temporary\n",
       "    require(['jquery', 'https://code.highcharts.com/stock/6.1.2/highstock.js', 'https://d3js.org/d3.v3.min.js'], function(jquery,\n",
       "                         Highcharts,\n",
       "                         d3\n",
       "                         ) {\n",
       "        // hardcoded var - temporary\n",
       "        require(['https://code.highcharts.com/stock/6.1.2/highcharts-more.js', 'https://code.highcharts.com/stock/6.1.2/modules/exporting.js', 'https://code.highcharts.com/stock/6.1.2/modules/offline-exporting.js', 'https://code.highcharts.com/stock/6.1.2/modules/export-data.js', 'https://code.highcharts.com/stock/6.1.2/modules/drilldown.js', 'https://code.highcharts.com/stock/6.1.2/modules/heatmap.js', 'https://code.highcharts.com/stock/6.1.2/modules/treemap.js', 'https://code.highcharts.com/stock/6.1.2/modules/sunburst.js', 'https://cdn.datatables.net/1.10.10/js/jquery.dataTables.min.js'], function(hcMore,\n",
       "                             exporting,\n",
       "                             offLineExporting,\n",
       "                             exportData,\n",
       "                             drilldown,\n",
       "                             heatmap,\n",
       "                             treemap,\n",
       "                             sunburst,\n",
       "                             dataTables,\n",
       "                             ) {\n",
       "            hcMore(Highcharts);\n",
       "            exporting(Highcharts);\n",
       "            offLineExporting(Highcharts);\n",
       "            exportData(Highcharts);\n",
       "            drilldown(Highcharts);\n",
       "            heatmap(Highcharts);\n",
       "            treemap(Highcharts);\n",
       "            sunburst(Highcharts);\n",
       "            \n",
       "    var options = {\"credits\":{\"enabled\":true,\"text\":\"Source: XXX Flow Strategy & Solutions.\",\"href\":\"http:\\/\\/www.example.com\"},\"exporting\":{\"enabled\":true},\"chart\":{\"animation\":false,\"height\":550,\"zoomType\":\"xy\",\"renderTo\":\"ce8a6797_9a20_4de6_bf0b_0c393f048cf1container_chart\"},\"plotOptions\":{\"series\":{\"animation\":false,\"compare\":\"value\"},\"line\":{\"animation\":false},\"column\":{\"animation\":false}},\"legend\":{\"enabled\":true,\"layout\":\"horizontal\",\"align\":\"center\",\"maxHeight\":100},\"tooltip\":{\"enabled\":true,\"valueDecimals\":2,\"pointFormat\":\"<span style=\\\"color:{series.color}\\\">{series.name}<\\/span>: <b>{point.y}<\\/b><br\\/>\",\"positioner\":\"function (labelWidth, labelHeight, point) {\\n    var roundUp100 = function(d) { return 100*Math.floor(d\\/100); },\\n        labelWidth = roundUp100(labelWidth),\\n        chart = window.charts['ce8a6797_9a20_4de6_bf0b_0c393f048cf1'];\\n\\n    var tooltipX, tooltipY;\\n        var testX = (point.plotX + labelWidth * 0.7 > chart.plotWidth \\/ 2) && (point.plotX - labelWidth * 0.7 < chart.plotWidth \\/ 2);\\n        var testY = point.plotY < labelHeight * 0.7;\\n\\n    if (testX && testY) {\\n                tooltipX = chart.plotLeft + (chart.plotWidth - labelWidth) \\/ 2;\\n        tooltipY = chart.plotTop + chart.plotHeight - labelHeight;\\n    } else {\\n                tooltipX = chart.plotLeft + (chart.plotWidth - labelWidth) \\/ 2;\\n        tooltipY = chart.plotTop;\\n    }\\n\\n    return {\\n        x: tooltipX,\\n        y: tooltipY\\n    };\\n}\\n\\n\",\"formatter\":\"function() {\\n\\n    var fmt_val = d3.format(',.2f');\\n    var fmt_qtile = d3.format('.1%');\\n\\n    var percentile = function(v, arr){\\n        var c = 0;\\n        for (var i=0; i<arr.length; i++) {\\n            if (arr[i]<v) { c += 1; }\\n        }\\n        return c\\/arr.length;\\n    };\\n\\n    var get_percentile = function(point){\\n        var v = point.y;\\n        var arr = point.series.points.map(function(d){ return d.y; });\\n        return percentile(v, arr);\\n    }\\n\\n    var s = Highcharts.dateFormat('%A, %b %e, %Y', this.x) + '<br\\/>';\\n\\n    for (point of this.points) {   \\n        window.ppoint = point;     \\n        s += `<span style=\\\"color:${point.series.color}\\\">${point.series.name}<\\/span>: <b>${fmt_val(point.y)}<\\/b> (percentile: ${fmt_qtile(get_percentile(point))})<br\\/>`; \\n    }\\n\\n    return s;\\n\\n}\\n\\n\"},\"title\":{\"text\":\"Time series plotted with HighStock\"},\"subtitle\":{\"text\":\"Transparent access to the underlying js lib\"},\"yAxis\":{\"labels\":{\"formatter\":\"function() { return (this.value > 0 ? 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       "    \n",
       "options = JSON.stringify(options);\n",
       "\n",
       "options = JSON.parse(options, function (key, value) {\n",
       "\n",
       "\tif (value && (typeof value === \"string\")) {\n",
       "\n",
       "\t\t\t\tvar check1 = (value.replace(/\\s+/g, '').replace(/\\r?\\n|\\r/g, '').substr(0, 8) == \"function\"),\n",
       "\t\t\tcheck2 = (value.replace(/\\s+/g, '').replace(/\\r?\\n|\\r/g, '').substr(0, 9) == \"(function\");\n",
       "\n",
       "\n",
       "\t\tif (check1) {\n",
       "\t\t\tvar startBody = value.indexOf('{') + 1;\n",
       "\t\t\tvar endBody = value.lastIndexOf('}');\n",
       "\t\t\tvar startArgs = value.indexOf('(') + 1;\n",
       "\t\t\tvar endArgs = value.indexOf(')');\n",
       "\n",
       "\t\t\treturn new Function(value.substring(startArgs, endArgs),\n",
       "\t\t\t\tvalue.substring(startBody, endBody));\n",
       "\t\t}\n",
       "\t\tif (check2) {\n",
       "\t\t\treturn eval(value);\n",
       "\t\t}\n",
       "\n",
       "\t}\n",
       "\n",
       "\treturn value;\n",
       "\n",
       "});\n",
       "    \n",
       "if (options.xAxis==undefined) {\n",
       "\toptions.xAxis = {};\n",
       "}\n",
       "if (options.xAxis.event==undefined) {\n",
       "\toptions.xAxis.events = {};\t\n",
       "}\n",
       "\n",
       "options.xAxis.events = {\n",
       "    setExtremes:        function() { update_table_2('ce8a6797_9a20_4de6_bf0b_0c393f048cf1'); },\n",
       "    afterSetExtremes:   function() { update_table_2('ce8a6797_9a20_4de6_bf0b_0c393f048cf1'); }\n",
       "};\n",
       "\n",
       "options.plotOptions.series.events = {\n",
       "    hide: function() { update_table_2('ce8a6797_9a20_4de6_bf0b_0c393f048cf1'); },\n",
       "    show: function() { update_table_2('ce8a6797_9a20_4de6_bf0b_0c393f048cf1'); }\n",
       "};\n",
       "\n",
       "\n",
       "    var opt = $.extend(true, {}, options);\n",
       "    if (window.opts==undefined) {\n",
       "        window.opts = {};\n",
       "    }\n",
       "    window.opts['ce8a6797_9a20_4de6_bf0b_0c393f048cf1'] = opt;\n",
       "\n",
       "    console.log('Highcharts/Highstock options accessible as opts[\"ce8a6797_9a20_4de6_bf0b_0c393f048cf1\"]');\n",
       "    \n",
       "            \n",
       "var isNumber = function(n) { return !isNaN(parseFloat(n)) && isFinite(n); };\n",
       "\n",
       "var fmt_nb_pct = function(d) { if (isNumber(d)) { var f = d3.format(\"+,.1%\"); return f(d) }\n",
       "                               else { return d; }\n",
       "                             }\n",
       "var fmt_nb_flo = function(d) { if (isNumber(d)) { var f = d3.format(\"+,.2f\"); return f(d) }\n",
       "                               else { return d; }\n",
       "                             }\n",
       "\n",
       "\n",
       "function get_timeseries(uuid, n, extremes) {\n",
       "    var opt = window.opts[uuid],\n",
       "        data = opt.series[n].data,\n",
       "        name = opt.series[n].name,\n",
       "        mint = extremes.min,\n",
       "        maxt = extremes.max,\n",
       "        ts = { 'name':name, 'data': [] };\n",
       "        \n",
       "    for (var i=0; i<data.length; i++) {\n",
       "        var t = data[i][0];\n",
       "        if (t>=mint & t<=maxt) {        \n",
       "            ts.data.push({t: t, v: data[i][1]})\n",
       "        }\n",
       "    }\n",
       "    return ts;\n",
       "}\n",
       "\n",
       "\n",
       "function get_min(ts) {\n",
       "    var arr = ts.data.map(function(d){ return d.v; });\n",
       "    return Math.min(...arr);\n",
       "}\n",
       "\n",
       "\n",
       "function get_max(ts) {\n",
       "    var arr = ts.data.map(function(d){ return d.v; });\n",
       "    return Math.max(...arr);\n",
       "}\n",
       "\n",
       "\n",
       "function get_avg(ts) {\n",
       "    var arr = ts.data.map(function(d){ return d.v; });\n",
       "    var s = arr.reduce(function(a, b){ return a+b; });\n",
       "    return s/arr.length;\n",
       "}\n",
       "\n",
       "\n",
       "function get_max_drawdown(ts, nb_bd) {\n",
       "    var dd = Number.POSITIVE_INFINITY,\n",
       "        val, ref_val;\n",
       "\n",
       "    for (var i=nb_bd; i<ts.data.length; i++) {\n",
       "        val = ts.data[i].v;\n",
       "        ref_val = ts.data[i-nb_bd].v;\n",
       "        dd = Math.min(val-ref_val, dd);\n",
       "    }\n",
       "    return dd;\n",
       "}\n",
       "\n",
       "\n",
       "function create_table_2(uuid, chart) {\n",
       "    if (typeof window.charts == \"undefined\") {\n",
       "        window.charts = {};\n",
       "    }\n",
       "    window.charts[uuid] = chart;\n",
       "\n",
       "    $('#'+uuid+' .nb_bdays').val(20)\n",
       "    $('#'+uuid+' .slider').val(20)\n",
       "\n",
       "    $('#'+uuid+' .slider').on('input', function(){\n",
       "        $('#'+uuid+' .nb_bdays').val($(this).val());\n",
       "        update_table_2(uuid);\n",
       "    });\n",
       "\n",
       "    $('#'+uuid+' .nb_bdays').on('input', function(){\n",
       "        $('#'+uuid+' .slider').val($(this).val());\n",
       "        update_table_2(uuid);\n",
       "    });\n",
       "\n",
       "    $('#'+uuid+' .container_table').html('<table class=\"dtable display compact\" cellspacing=\"0\" style=\"width: 75%\"></table>' );\n",
       "\n",
       "    var data = update_table_data_2(uuid, chart);\n",
       "    var dtable = init_table_2(uuid, chart, data);\n",
       "    \n",
       "    window.data = data;\n",
       "    window.dtable = dtable;\n",
       "    console.log('create_table_2 '+uuid);\n",
       "}\n",
       "\n",
       "\n",
       "function init_table_2(uuid, chart, data) {\n",
       "    var dtable = $('#'+uuid+' .dtable').DataTable( {\n",
       "        data: data.arr,\n",
       "        columns: data.col,\n",
       "                dom: \"tB\",\n",
       "        order: [],\n",
       "        lengthMenu: [[-1], [\"All\"]],\n",
       "        columnDefs: [\n",
       "            { \"width\": \"40%\", \"targets\": 0 },\n",
       "            { \"width\": \"13%\", \"targets\": [1, 2, 3, 4] }\n",
       "          ],\n",
       "    } );\n",
       "    var dtablejq = $('#'+uuid+' .dtable').dataTable();\n",
       "    color_dtable_series_name_2(uuid, chart, dtablejq);\n",
       "\n",
       "    window.dtable = dtable;\n",
       "    window.dtablejq = dtablejq;\n",
       "\n",
       "    console.log('init_table_2 '+uuid);\n",
       "    return dtable;\n",
       "}\n",
       "\n",
       "\n",
       "function color_dtable_series_name_2(uuid, chart, dtablejq) {\n",
       "    var color_series = chart.series.map(function(d) { return d.color; });\n",
       "    $('#'+uuid+' td:first-child').each(function(i, d) { $(this).css('color', color_series[i]); })\n",
       "}\n",
       "\n",
       "\n",
       "function update_table_2(uuid) {\n",
       "    var chart = window.charts[uuid],\n",
       "        data = update_table_data_2(uuid, chart),\n",
       "        dtable = $('#'+uuid+' .dtable').DataTable()\n",
       "    dtable.clear();\n",
       "    dtable.rows.add(data.arr);\n",
       "    dtable.draw();\n",
       "    color_dtable_series_name_2(uuid, chart, dtablejq)\n",
       "\n",
       "    window.data = data;\n",
       "    console.log('update_table_2 '+uuid);\n",
       "}\n",
       "\n",
       "\n",
       "function update_table_data_2(uuid, chart) {     \n",
       "    var extremes = chart.xAxis[0].getExtremes(),\n",
       "        results = [],\n",
       "        ts, min, max, avf, max_dd;\n",
       "\n",
       "    window.extremes = extremes;\n",
       "\n",
       "    for (var k=0; k<chart.series.length-1; k++) {\n",
       "        var name = chart.series[k].name,\n",
       "            is_visible = chart.series[k].visible;\n",
       "        \n",
       "        if (is_visible) {\n",
       "            ts = get_timeseries(uuid, k, extremes);\n",
       "            min = get_min(ts);\n",
       "            max = get_max(ts);\n",
       "            avg = get_avg(ts);\n",
       "            nb_bdays = $('#'+uuid+' .nb_bdays').val();\n",
       "            max_dd = get_max_drawdown(ts, nb_bdays);\n",
       "            \n",
       "            results.push({'name': name,\n",
       "                          'min': min,\n",
       "                          'max': max,\n",
       "                          'avg': avg,\n",
       "                          'max_dd': max_dd,\n",
       "                        });\n",
       "        }\n",
       "\n",
       "    }\n",
       "\n",
       "    dtable_arr = results.map(function(d) { return [ d.name,\n",
       "                                                    fmt_nb_flo(d.min), \n",
       "                                                    fmt_nb_flo(d.max),\n",
       "                                                    fmt_nb_flo(d.avg),\n",
       "                                                    fmt_nb_flo(d.max_dd)\n",
       "                                                    ]; });\n",
       "    dtable_col = ['Series', 'Min', 'Max', 'Avg', 'Max Drawdown'].map(function(d) { return {title: d}; });\n",
       "    data = {arr: dtable_arr, col: dtable_col};\n",
       "\n",
       "    $('#'+uuid+' .table_date').text(ts.data.length+' business days from '+Highcharts.dateFormat('%d-%b-%y', extremes.min) + ' to ' + Highcharts.dateFormat('%d-%b-%y', extremes.max));\n",
       "    \n",
       "    console.log('update_table_data_2 '+uuid);\n",
       "    return data;\n",
       "\n",
       "};\n",
       "\n",
       "\n",
       "            window.chart = new Highcharts.StockChart(options, function(chart) { create_table_2(\"ce8a6797_9a20_4de6_bf0b_0c393f048cf1\", chart); });\n",
       "            \n",
       "    console.log('Highcharts/Highstock chart accessible as charts[\"ce8a6797_9a20_4de6_bf0b_0c393f048cf1\"]');\n",
       "    \n",
       "        });\n",
       "    });\n",
       "    </script>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.plotOptions.series.compare = 'value'\n",
    "g.yAxis.labels.formatter = hc.scripts.FORMATTER_BASIC\n",
    "g.tooltip.pointFormat = hc.scripts.TOOLTIP_POINT_FORMAT_BASIC\n",
    "g.tooltip.formatter = hc.scripts.FORMATTER_QUANTILE\n",
    "\n",
    "disclaimer = \"\"\"\n",
    "THE VALUE OF YOUR INVESTMENT MAY FLUCTUATE. \n",
    "THE FIGURES RELATING TO SIMULATED PAST PERFORMANCES REFER TO PAST \n",
    "PERIODS AND ARE NOT A RELIABLE INDICATOR OF FUTURE RESULTS. \n",
    "THIS ALSO APPLIES TO HISTORICAL MARKET DATA.\n",
    "\"\"\"\n",
    "template_footer = hc.scripts.TEMPLATE_DISCLAIMER\n",
    "create_footer = hc.scripts.from_template\n",
    "\n",
    "logo_path = hc.scripts.PATH_TO_LOGO_SG\n",
    "# logo_path = 'http://img.talkandroid.com/uploads/2015/11/Chrome-Logo.png'\n",
    "# logo_path = hc.scripts.image_src('http://img.talkandroid.com/uploads/2015/11/Chrome-Logo.png')\n",
    "\n",
    "footer = create_footer(template_footer, comment=disclaimer, img_logo=logo_path)\n",
    "\n",
    "g.plot_with_table_2(dated=False, version='6.1.2', save=True, save_name='Table2', footer=footer)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Column, Bar"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Jane</th>\n",
       "      <th>Joe</th>\n",
       "      <th>John</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fruit</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Apples</th>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oranges</th>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pears</th>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Grapes</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bananas</th>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Jane  Joe  John\n",
       "Fruit                   \n",
       "Apples      2    3     5\n",
       "Oranges     2    4     3\n",
       "Pears       3    4     4\n",
       "Grapes      2    2     7\n",
       "Bananas     1    5     2"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = hc.sample.df_one_idx_several_col()\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"text-align:center;\"><div id=\"20b11357_aa9b_490e_a7d1_d97dc26e6183container_chart\" style=\"display: inline-block\"></div></div><script>\n",
       "    // the Jupyter notebook loads jquery.min.js  and require.js and at the top of the page\n",
       "    // then to make jquery available inside a require module\n",
       "    // the trick is http://www.manuel-strehl.de/dev/load_jquery_before_requirejs.en.html\n",
       "    define('jquery', [], function() {\n",
       "        return jQuery;\n",
       "    });\n",
       "\n",
       "    // hardcoded var - temporary\n",
       "    require(['jquery', 'https://code.highcharts.com/stock/6.1.2/highstock.js', 'https://d3js.org/d3.v3.min.js'], function(jquery,\n",
       "                         Highcharts,\n",
       "                         d3\n",
       "                         ) {\n",
       "        // hardcoded var - temporary\n",
       "        require(['https://code.highcharts.com/stock/6.1.2/highcharts-more.js', 'https://code.highcharts.com/stock/6.1.2/modules/exporting.js', 'https://code.highcharts.com/stock/6.1.2/modules/offline-exporting.js', 'https://code.highcharts.com/stock/6.1.2/modules/export-data.js', 'https://code.highcharts.com/stock/6.1.2/modules/drilldown.js', 'https://code.highcharts.com/stock/6.1.2/modules/heatmap.js', 'https://code.highcharts.com/stock/6.1.2/modules/treemap.js', 'https://code.highcharts.com/stock/6.1.2/modules/sunburst.js', 'https://cdn.datatables.net/1.10.10/js/jquery.dataTables.min.js'], function(hcMore,\n",
       "                             exporting,\n",
       "                             offLineExporting,\n",
       "                             exportData,\n",
       "                             drilldown,\n",
       "                             heatmap,\n",
       "                             treemap,\n",
       "                             sunburst,\n",
       "                             dataTables,\n",
       "                             ) {\n",
       "            hcMore(Highcharts);\n",
       "            exporting(Highcharts);\n",
       "            offLineExporting(Highcharts);\n",
       "            exportData(Highcharts);\n",
       "            drilldown(Highcharts);\n",
       "            heatmap(Highcharts);\n",
       "            treemap(Highcharts);\n",
       "            sunburst(Highcharts);\n",
       "            \n",
       "    var options = {\"credits\":{\"enabled\":false},\"exporting\":{\"enabled\":true},\"chart\":{\"animation\":false,\"type\":\"column\",\"width\":500,\"height\":300,\"renderTo\":\"20b11357_aa9b_490e_a7d1_d97dc26e6183container_chart\"},\"series\":[{\"name\":\"Jane\",\"yAxis\":0,\"data\":[[\"Apples\",2],[\"Oranges\",2],[\"Pears\",3],[\"Grapes\",2],[\"Bananas\",1]]},{\"name\":\"Joe\",\"yAxis\":0,\"data\":[[\"Apples\",3],[\"Oranges\",4],[\"Pears\",4],[\"Grapes\",2],[\"Bananas\",5]]},{\"name\":\"John\",\"yAxis\":0,\"data\":[[\"Apples\",5],[\"Oranges\",3],[\"Pears\",4],[\"Grapes\",7],[\"Bananas\",2]]}],\"plotOptions\":{\"series\":{\"animation\":false},\"line\":{\"animation\":false},\"column\":{\"animation\":false},\"bar\":{\"animation\":false},\"pie\":{\"animation\":false},\"scatter\":{\"animation\":false},\"bubble\":{\"animation\":false},\"treemap\":{\"animation\":false}},\"title\":{\"text\":\"Basic Bar Chart\"},\"yAxis\":{\"title\":{\"text\":\"Fruit Consumption\"}},\"xAxis\":{\"categories\":[\"Apples\",\"Oranges\",\"Pears\",\"Grapes\",\"Bananas\"]}};\n",
       "    \n",
       "options = JSON.stringify(options);\n",
       "\n",
       "options = JSON.parse(options, function (key, value) {\n",
       "\n",
       "\tif (value && (typeof value === \"string\")) {\n",
       "\n",
       "\t\t\t\tvar check1 = (value.replace(/\\s+/g, '').replace(/\\r?\\n|\\r/g, '').substr(0, 8) == \"function\"),\n",
       "\t\t\tcheck2 = (value.replace(/\\s+/g, '').replace(/\\r?\\n|\\r/g, '').substr(0, 9) == \"(function\");\n",
       "\n",
       "\n",
       "\t\tif (check1) {\n",
       "\t\t\tvar startBody = value.indexOf('{') + 1;\n",
       "\t\t\tvar endBody = value.lastIndexOf('}');\n",
       "\t\t\tvar startArgs = value.indexOf('(') + 1;\n",
       "\t\t\tvar endArgs = value.indexOf(')');\n",
       "\n",
       "\t\t\treturn new Function(value.substring(startArgs, endArgs),\n",
       "\t\t\t\tvalue.substring(startBody, endBody));\n",
       "\t\t}\n",
       "\t\tif (check2) {\n",
       "\t\t\treturn eval(value);\n",
       "\t\t}\n",
       "\n",
       "\t}\n",
       "\n",
       "\treturn value;\n",
       "\n",
       "});\n",
       "    \n",
       "\n",
       "    var opt = $.extend(true, {}, options);\n",
       "    if (window.opts==undefined) {\n",
       "        window.opts = {};\n",
       "    }\n",
       "    window.opts['20b11357_aa9b_490e_a7d1_d97dc26e6183'] = opt;\n",
       "\n",
       "    console.log('Highcharts/Highstock options accessible as opts[\"20b11357_aa9b_490e_a7d1_d97dc26e6183\"]');\n",
       "    \n",
       "            \n",
       "            window.chart = new Highcharts.Chart(options);\n",
       "            \n",
       "    console.log('Highcharts/Highstock chart accessible as charts[\"20b11357_aa9b_490e_a7d1_d97dc26e6183\"]');\n",
       "    \n",
       "        });\n",
       "    });\n",
       "    </script>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g = hc.Highcharts()\n",
    "\n",
    "g.chart.type = 'column'\n",
    "g.chart.width = 500\n",
    "g.chart.height = 300\n",
    "# g.plotOptions.column.animation = False\n",
    "\n",
    "g.title.text = 'Basic Bar Chart'\n",
    "g.yAxis.title.text = 'Fruit Consumption'\n",
    "\n",
    "g.xAxis.categories = list(df.index)\n",
    "g.series = hc.build.series(df)\n",
    "\n",
    "g.plot(center=True, save=True, version='6.1.2', save_name='test', dated=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div id=\"4e052b86_7023_4eed_8a06_2ceff491de11container_chart\"></div><script>\n",
       "    // the Jupyter notebook loads jquery.min.js  and require.js and at the top of the page\n",
       "    // then to make jquery available inside a require module\n",
       "    // the trick is http://www.manuel-strehl.de/dev/load_jquery_before_requirejs.en.html\n",
       "    define('jquery', [], function() {\n",
       "        return jQuery;\n",
       "    });\n",
       "\n",
       "    // hardcoded var - temporary\n",
       "    require(['jquery', 'https://code.highcharts.com/stock/6.1.2/highstock.js', 'https://d3js.org/d3.v3.min.js'], function(jquery,\n",
       "                         Highcharts,\n",
       "                         d3\n",
       "                         ) {\n",
       "        // hardcoded var - temporary\n",
       "        require(['https://code.highcharts.com/stock/6.1.2/highcharts-more.js', 'https://code.highcharts.com/stock/6.1.2/modules/exporting.js', 'https://code.highcharts.com/stock/6.1.2/modules/offline-exporting.js', 'https://code.highcharts.com/stock/6.1.2/modules/export-data.js', 'https://code.highcharts.com/stock/6.1.2/modules/drilldown.js', 'https://code.highcharts.com/stock/6.1.2/modules/heatmap.js', 'https://code.highcharts.com/stock/6.1.2/modules/treemap.js', 'https://code.highcharts.com/stock/6.1.2/modules/sunburst.js', 'https://cdn.datatables.net/1.10.10/js/jquery.dataTables.min.js'], function(hcMore,\n",
       "                             exporting,\n",
       "                             offLineExporting,\n",
       "                             exportData,\n",
       "                             drilldown,\n",
       "                             heatmap,\n",
       "                             treemap,\n",
       "                             sunburst,\n",
       "                             dataTables,\n",
       "                             ) {\n",
       "            hcMore(Highcharts);\n",
       "            exporting(Highcharts);\n",
       "            offLineExporting(Highcharts);\n",
       "            exportData(Highcharts);\n",
       "            drilldown(Highcharts);\n",
       "            heatmap(Highcharts);\n",
       "            treemap(Highcharts);\n",
       "            sunburst(Highcharts);\n",
       "            \n",
       "    var options = {\"credits\":{\"enabled\":false},\"exporting\":{\"enabled\":true},\"chart\":{\"animation\":false,\"type\":\"column\",\"width\":500,\"height\":300,\"renderTo\":\"4e052b86_7023_4eed_8a06_2ceff491de11container_chart\"},\"series\":[{\"name\":\"Jane\",\"yAxis\":0,\"data\":[[\"Apples\",2],[\"Oranges\",2],[\"Pears\",3],[\"Grapes\",2],[\"Bananas\",1]]},{\"name\":\"Joe\",\"yAxis\":0,\"data\":[[\"Apples\",3],[\"Oranges\",4],[\"Pears\",4],[\"Grapes\",2],[\"Bananas\",5]]},{\"name\":\"John\",\"yAxis\":0,\"data\":[[\"Apples\",5],[\"Oranges\",3],[\"Pears\",4],[\"Grapes\",7],[\"Bananas\",2]]}],\"plotOptions\":{\"series\":{\"animation\":false},\"line\":{\"animation\":false},\"column\":{\"animation\":false,\"stacking\":\"normal\"},\"bar\":{\"animation\":false},\"pie\":{\"animation\":false},\"scatter\":{\"animation\":false},\"bubble\":{\"animation\":false},\"treemap\":{\"animation\":false}},\"title\":{\"text\":\"Stack Bar Chart\"},\"yAxis\":{\"title\":{\"text\":\"Total Fruit Consumption\"}},\"xAxis\":{\"categories\":[\"Apples\",\"Oranges\",\"Pears\",\"Grapes\",\"Bananas\"]}};\n",
       "    \n",
       "options = JSON.stringify(options);\n",
       "\n",
       "options = JSON.parse(options, function (key, value) {\n",
       "\n",
       "\tif (value && (typeof value === \"string\")) {\n",
       "\n",
       "\t\t\t\tvar check1 = (value.replace(/\\s+/g, '').replace(/\\r?\\n|\\r/g, '').substr(0, 8) == \"function\"),\n",
       "\t\t\tcheck2 = (value.replace(/\\s+/g, '').replace(/\\r?\\n|\\r/g, '').substr(0, 9) == \"(function\");\n",
       "\n",
       "\n",
       "\t\tif (check1) {\n",
       "\t\t\tvar startBody = value.indexOf('{') + 1;\n",
       "\t\t\tvar endBody = value.lastIndexOf('}');\n",
       "\t\t\tvar startArgs = value.indexOf('(') + 1;\n",
       "\t\t\tvar endArgs = value.indexOf(')');\n",
       "\n",
       "\t\t\treturn new Function(value.substring(startArgs, endArgs),\n",
       "\t\t\t\tvalue.substring(startBody, endBody));\n",
       "\t\t}\n",
       "\t\tif (check2) {\n",
       "\t\t\treturn eval(value);\n",
       "\t\t}\n",
       "\n",
       "\t}\n",
       "\n",
       "\treturn value;\n",
       "\n",
       "});\n",
       "    \n",
       "\n",
       "    var opt = $.extend(true, {}, options);\n",
       "    if (window.opts==undefined) {\n",
       "        window.opts = {};\n",
       "    }\n",
       "    window.opts['4e052b86_7023_4eed_8a06_2ceff491de11'] = opt;\n",
       "\n",
       "    console.log('Highcharts/Highstock options accessible as opts[\"4e052b86_7023_4eed_8a06_2ceff491de11\"]');\n",
       "    \n",
       "            \n",
       "            window.chart = new Highcharts.Chart(options);\n",
       "            \n",
       "    console.log('Highcharts/Highstock chart accessible as charts[\"4e052b86_7023_4eed_8a06_2ceff491de11\"]');\n",
       "    \n",
       "        });\n",
       "    });\n",
       "    </script>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.plotOptions.column.stacking = 'normal'\n",
    "g.title.text = 'Stack Bar Chart'\n",
    "g.yAxis.title.text = 'Total Fruit Consumption'\n",
    "\n",
    "g.plot(version='6.1.2')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div id=\"9fdd9d40_a30c_4174_8f9f_50f406765514container_chart\"></div><script>\n",
       "    // the Jupyter notebook loads jquery.min.js  and require.js and at the top of the page\n",
       "    // then to make jquery available inside a require module\n",
       "    // the trick is http://www.manuel-strehl.de/dev/load_jquery_before_requirejs.en.html\n",
       "    define('jquery', [], function() {\n",
       "        return jQuery;\n",
       "    });\n",
       "\n",
       "    // hardcoded var - temporary\n",
       "    require(['jquery', 'https://code.highcharts.com/stock/6.1.2/highstock.js', 'https://d3js.org/d3.v3.min.js'], function(jquery,\n",
       "                         Highcharts,\n",
       "                         d3\n",
       "                         ) {\n",
       "        // hardcoded var - temporary\n",
       "        require(['https://code.highcharts.com/stock/6.1.2/highcharts-more.js', 'https://code.highcharts.com/stock/6.1.2/modules/exporting.js', 'https://code.highcharts.com/stock/6.1.2/modules/offline-exporting.js', 'https://code.highcharts.com/stock/6.1.2/modules/export-data.js', 'https://code.highcharts.com/stock/6.1.2/modules/drilldown.js', 'https://code.highcharts.com/stock/6.1.2/modules/heatmap.js', 'https://code.highcharts.com/stock/6.1.2/modules/treemap.js', 'https://code.highcharts.com/stock/6.1.2/modules/sunburst.js', 'https://cdn.datatables.net/1.10.10/js/jquery.dataTables.min.js'], function(hcMore,\n",
       "                             exporting,\n",
       "                             offLineExporting,\n",
       "                             exportData,\n",
       "                             drilldown,\n",
       "                             heatmap,\n",
       "                             treemap,\n",
       "                             sunburst,\n",
       "                             dataTables,\n",
       "                             ) {\n",
       "            hcMore(Highcharts);\n",
       "            exporting(Highcharts);\n",
       "            offLineExporting(Highcharts);\n",
       "            exportData(Highcharts);\n",
       "            drilldown(Highcharts);\n",
       "            heatmap(Highcharts);\n",
       "            treemap(Highcharts);\n",
       "            sunburst(Highcharts);\n",
       "            \n",
       "    var options = {\"credits\":{\"enabled\":false},\"exporting\":{\"enabled\":true},\"chart\":{\"animation\":false,\"type\":\"column\",\"width\":500,\"height\":300,\"renderTo\":\"9fdd9d40_a30c_4174_8f9f_50f406765514container_chart\"},\"series\":[{\"name\":\"Jane\",\"yAxis\":0,\"data\":[[\"Apples\",2],[\"Oranges\",2],[\"Pears\",3],[\"Grapes\",2],[\"Bananas\",1]]},{\"name\":\"Joe\",\"yAxis\":0,\"data\":[[\"Apples\",3],[\"Oranges\",4],[\"Pears\",4],[\"Grapes\",2],[\"Bananas\",5]]},{\"name\":\"John\",\"yAxis\":0,\"data\":[[\"Apples\",5],[\"Oranges\",3],[\"Pears\",4],[\"Grapes\",7],[\"Bananas\",2]]}],\"plotOptions\":{\"series\":{\"animation\":false},\"line\":{\"animation\":false},\"column\":{\"animation\":false,\"stacking\":\"percent\"},\"bar\":{\"animation\":false},\"pie\":{\"animation\":false},\"scatter\":{\"animation\":false},\"bubble\":{\"animation\":false},\"treemap\":{\"animation\":false}},\"title\":{\"text\":\"Stack Bar Chart\"},\"yAxis\":{\"title\":{\"text\":\"Fruit Consumption Distribution\"}},\"xAxis\":{\"categories\":[\"Apples\",\"Oranges\",\"Pears\",\"Grapes\",\"Bananas\"]}};\n",
       "    \n",
       "options = JSON.stringify(options);\n",
       "\n",
       "options = JSON.parse(options, function (key, value) {\n",
       "\n",
       "\tif (value && (typeof value === \"string\")) {\n",
       "\n",
       "\t\t\t\tvar check1 = (value.replace(/\\s+/g, '').replace(/\\r?\\n|\\r/g, '').substr(0, 8) == \"function\"),\n",
       "\t\t\tcheck2 = (value.replace(/\\s+/g, '').replace(/\\r?\\n|\\r/g, '').substr(0, 9) == \"(function\");\n",
       "\n",
       "\n",
       "\t\tif (check1) {\n",
       "\t\t\tvar startBody = value.indexOf('{') + 1;\n",
       "\t\t\tvar endBody = value.lastIndexOf('}');\n",
       "\t\t\tvar startArgs = value.indexOf('(') + 1;\n",
       "\t\t\tvar endArgs = value.indexOf(')');\n",
       "\n",
       "\t\t\treturn new Function(value.substring(startArgs, endArgs),\n",
       "\t\t\t\tvalue.substring(startBody, endBody));\n",
       "\t\t}\n",
       "\t\tif (check2) {\n",
       "\t\t\treturn eval(value);\n",
       "\t\t}\n",
       "\n",
       "\t}\n",
       "\n",
       "\treturn value;\n",
       "\n",
       "});\n",
       "    \n",
       "\n",
       "    var opt = $.extend(true, {}, options);\n",
       "    if (window.opts==undefined) {\n",
       "        window.opts = {};\n",
       "    }\n",
       "    window.opts['9fdd9d40_a30c_4174_8f9f_50f406765514'] = opt;\n",
       "\n",
       "    console.log('Highcharts/Highstock options accessible as opts[\"9fdd9d40_a30c_4174_8f9f_50f406765514\"]');\n",
       "    \n",
       "            \n",
       "            window.chart = new Highcharts.Chart(options);\n",
       "            \n",
       "    console.log('Highcharts/Highstock chart accessible as charts[\"9fdd9d40_a30c_4174_8f9f_50f406765514\"]');\n",
       "    \n",
       "        });\n",
       "    });\n",
       "    </script>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.plotOptions.column.stacking = 'percent'\n",
    "g.yAxis.title.text = 'Fruit Consumption Distribution'\n",
    "\n",
    "g.plot(version='6.1.2')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div id=\"b003c07e_f143_4225_8a47_7ccdeb8f9778container_chart\"></div><script>\n",
       "    // the Jupyter notebook loads jquery.min.js  and require.js and at the top of the page\n",
       "    // then to make jquery available inside a require module\n",
       "    // the trick is http://www.manuel-strehl.de/dev/load_jquery_before_requirejs.en.html\n",
       "    define('jquery', [], function() {\n",
       "        return jQuery;\n",
       "    });\n",
       "\n",
       "    // hardcoded var - temporary\n",
       "    require(['jquery', 'https://code.highcharts.com/stock/9.0.1/highstock.js', 'https://d3js.org/d3.v3.min.js'], function(jquery,\n",
       "                         Highcharts,\n",
       "                         d3\n",
       "                         ) {\n",
       "        // hardcoded var - temporary\n",
       "        require(['https://code.highcharts.com/stock/9.0.1/highcharts-more.js', 'https://code.highcharts.com/stock/9.0.1/modules/exporting.js', 'https://code.highcharts.com/stock/9.0.1/modules/offline-exporting.js', 'https://code.highcharts.com/stock/9.0.1/modules/export-data.js', 'https://code.highcharts.com/stock/9.0.1/modules/drilldown.js', 'https://code.highcharts.com/stock/9.0.1/modules/heatmap.js', 'https://code.highcharts.com/stock/9.0.1/modules/treemap.js', 'https://code.highcharts.com/stock/9.0.1/modules/sunburst.js', 'https://cdn.datatables.net/1.10.10/js/jquery.dataTables.min.js'], function(hcMore,\n",
       "                             exporting,\n",
       "                             offLineExporting,\n",
       "                             exportData,\n",
       "                             drilldown,\n",
       "                             heatmap,\n",
       "                             treemap,\n",
       "                             sunburst,\n",
       "                             dataTables,\n",
       "                             ) {\n",
       "            hcMore(Highcharts);\n",
       "            exporting(Highcharts);\n",
       "            offLineExporting(Highcharts);\n",
       "            exportData(Highcharts);\n",
       "            drilldown(Highcharts);\n",
       "            heatmap(Highcharts);\n",
       "            treemap(Highcharts);\n",
       "            sunburst(Highcharts);\n",
       "            \n",
       "    var options = {\"credits\":{\"enabled\":false},\"exporting\":{\"enabled\":true},\"chart\":{\"animation\":false,\"type\":\"bar\",\"width\":500,\"height\":400,\"renderTo\":\"b003c07e_f143_4225_8a47_7ccdeb8f9778container_chart\"},\"series\":[{\"name\":\"Jane\",\"yAxis\":0,\"data\":[[\"Apples\",2],[\"Oranges\",2],[\"Pears\",3],[\"Grapes\",2],[\"Bananas\",1]]},{\"name\":\"Joe\",\"yAxis\":0,\"data\":[[\"Apples\",3],[\"Oranges\",4],[\"Pears\",4],[\"Grapes\",2],[\"Bananas\",5]]},{\"name\":\"John\",\"yAxis\":0,\"data\":[[\"Apples\",5],[\"Oranges\",3],[\"Pears\",4],[\"Grapes\",7],[\"Bananas\",2]]}],\"plotOptions\":{\"series\":{\"animation\":false},\"line\":{\"animation\":false},\"column\":{\"animation\":false},\"bar\":{\"animation\":false},\"pie\":{\"animation\":false},\"scatter\":{\"animation\":false},\"bubble\":{\"animation\":false},\"treemap\":{\"animation\":false}},\"title\":{\"text\":\"Basic Bar Chart\"},\"xAxis\":{\"title\":{\"text\":\"Fruit Consumption\"},\"categories\":[\"Apples\",\"Oranges\",\"Pears\",\"Grapes\",\"Bananas\"]}};\n",
       "    \n",
       "options = JSON.stringify(options);\n",
       "\n",
       "options = JSON.parse(options, function (key, value) {\n",
       "\n",
       "\tif (value && (typeof value === \"string\")) {\n",
       "\n",
       "\t\t\t\tvar check1 = (value.replace(/\\s+/g, '').replace(/\\r?\\n|\\r/g, '').substr(0, 8) == \"function\"),\n",
       "\t\t\tcheck2 = (value.replace(/\\s+/g, '').replace(/\\r?\\n|\\r/g, '').substr(0, 9) == \"(function\");\n",
       "\n",
       "\n",
       "\t\tif (check1) {\n",
       "\t\t\tvar startBody = value.indexOf('{') + 1;\n",
       "\t\t\tvar endBody = value.lastIndexOf('}');\n",
       "\t\t\tvar startArgs = value.indexOf('(') + 1;\n",
       "\t\t\tvar endArgs = value.indexOf(')');\n",
       "\n",
       "\t\t\treturn new Function(value.substring(startArgs, endArgs),\n",
       "\t\t\t\tvalue.substring(startBody, endBody));\n",
       "\t\t}\n",
       "\t\tif (check2) {\n",
       "\t\t\treturn eval(value);\n",
       "\t\t}\n",
       "\n",
       "\t}\n",
       "\n",
       "\treturn value;\n",
       "\n",
       "});\n",
       "    \n",
       "\n",
       "    var opt = $.extend(true, {}, options);\n",
       "    if (window.opts==undefined) {\n",
       "        window.opts = {};\n",
       "    }\n",
       "    window.opts['b003c07e_f143_4225_8a47_7ccdeb8f9778'] = opt;\n",
       "\n",
       "    console.log('Highcharts/Highstock options accessible as opts[\"b003c07e_f143_4225_8a47_7ccdeb8f9778\"]');\n",
       "    \n",
       "            \n",
       "            window.chart = new Highcharts.Chart(options);\n",
       "            \n",
       "    console.log('Highcharts/Highstock chart accessible as charts[\"b003c07e_f143_4225_8a47_7ccdeb8f9778\"]');\n",
       "    \n",
       "        });\n",
       "    });\n",
       "    </script>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g = hc.Highcharts()\n",
    "\n",
    "g.chart.type = 'bar'\n",
    "g.chart.width = 500\n",
    "g.chart.height = 400\n",
    "\n",
    "g.title.text = 'Basic Bar Chart'\n",
    "g.xAxis.title.text = 'Fruit Consumption'\n",
    "\n",
    "g.xAxis.categories = list(df.index)\n",
    "g.series = hc.build.series(df)\n",
    "\n",
    "g.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div id=\"11b75adc_de30_4062_b223_44029758f3dfcontainer_chart\"></div><script>\n",
       "    // the Jupyter notebook loads jquery.min.js  and require.js and at the top of the page\n",
       "    // then to make jquery available inside a require module\n",
       "    // the trick is http://www.manuel-strehl.de/dev/load_jquery_before_requirejs.en.html\n",
       "    define('jquery', [], function() {\n",
       "        return jQuery;\n",
       "    });\n",
       "\n",
       "    // hardcoded var - temporary\n",
       "    require(['jquery', 'https://code.highcharts.com/stock/6.1.2/highstock.js', 'https://d3js.org/d3.v3.min.js'], function(jquery,\n",
       "                         Highcharts,\n",
       "                         d3\n",
       "                         ) {\n",
       "        // hardcoded var - temporary\n",
       "        require(['https://code.highcharts.com/stock/6.1.2/highcharts-more.js', 'https://code.highcharts.com/stock/6.1.2/modules/exporting.js', 'https://code.highcharts.com/stock/6.1.2/modules/offline-exporting.js', 'https://code.highcharts.com/stock/6.1.2/modules/export-data.js', 'https://code.highcharts.com/stock/6.1.2/modules/drilldown.js', 'https://code.highcharts.com/stock/6.1.2/modules/heatmap.js', 'https://code.highcharts.com/stock/6.1.2/modules/treemap.js', 'https://code.highcharts.com/stock/6.1.2/modules/sunburst.js', 'https://cdn.datatables.net/1.10.10/js/jquery.dataTables.min.js'], function(hcMore,\n",
       "                             exporting,\n",
       "                             offLineExporting,\n",
       "                             exportData,\n",
       "                             drilldown,\n",
       "                             heatmap,\n",
       "                             treemap,\n",
       "                             sunburst,\n",
       "                             dataTables,\n",
       "                             ) {\n",
       "            hcMore(Highcharts);\n",
       "            exporting(Highcharts);\n",
       "            offLineExporting(Highcharts);\n",
       "            exportData(Highcharts);\n",
       "            drilldown(Highcharts);\n",
       "            heatmap(Highcharts);\n",
       "            treemap(Highcharts);\n",
       "            sunburst(Highcharts);\n",
       "            \n",
       "    var options = {\"credits\":{\"enabled\":false},\"exporting\":{\"enabled\":true},\"chart\":{\"animation\":false,\"type\":\"bar\",\"width\":500,\"height\":400,\"renderTo\":\"11b75adc_de30_4062_b223_44029758f3dfcontainer_chart\"},\"series\":[{\"name\":\"Jane\",\"yAxis\":0,\"data\":[[\"Apples\",2],[\"Oranges\",2],[\"Pears\",3],[\"Grapes\",2],[\"Bananas\",1]]},{\"name\":\"Joe\",\"yAxis\":0,\"data\":[[\"Apples\",3],[\"Oranges\",4],[\"Pears\",4],[\"Grapes\",2],[\"Bananas\",5]]},{\"name\":\"John\",\"yAxis\":0,\"data\":[[\"Apples\",5],[\"Oranges\",3],[\"Pears\",4],[\"Grapes\",7],[\"Bananas\",2]]}],\"plotOptions\":{\"series\":{\"animation\":false},\"line\":{\"animation\":false},\"column\":{\"animation\":false},\"bar\":{\"animation\":false,\"stacking\":\"normal\"},\"pie\":{\"animation\":false},\"scatter\":{\"animation\":false},\"bubble\":{\"animation\":false},\"treemap\":{\"animation\":false}},\"title\":{\"text\":\"Stacked Bar Chart\"},\"xAxis\":{\"title\":{\"text\":\"Total Fruit Consumption\"},\"categories\":[\"Apples\",\"Oranges\",\"Pears\",\"Grapes\",\"Bananas\"]}};\n",
       "    \n",
       "options = JSON.stringify(options);\n",
       "\n",
       "options = JSON.parse(options, function (key, value) {\n",
       "\n",
       "\tif (value && (typeof value === \"string\")) {\n",
       "\n",
       "\t\t\t\tvar check1 = (value.replace(/\\s+/g, '').replace(/\\r?\\n|\\r/g, '').substr(0, 8) == \"function\"),\n",
       "\t\t\tcheck2 = (value.replace(/\\s+/g, '').replace(/\\r?\\n|\\r/g, '').substr(0, 9) == \"(function\");\n",
       "\n",
       "\n",
       "\t\tif (check1) {\n",
       "\t\t\tvar startBody = value.indexOf('{') + 1;\n",
       "\t\t\tvar endBody = value.lastIndexOf('}');\n",
       "\t\t\tvar startArgs = value.indexOf('(') + 1;\n",
       "\t\t\tvar endArgs = value.indexOf(')');\n",
       "\n",
       "\t\t\treturn new Function(value.substring(startArgs, endArgs),\n",
       "\t\t\t\tvalue.substring(startBody, endBody));\n",
       "\t\t}\n",
       "\t\tif (check2) {\n",
       "\t\t\treturn eval(value);\n",
       "\t\t}\n",
       "\n",
       "\t}\n",
       "\n",
       "\treturn value;\n",
       "\n",
       "});\n",
       "    \n",
       "\n",
       "    var opt = $.extend(true, {}, options);\n",
       "    if (window.opts==undefined) {\n",
       "        window.opts = {};\n",
       "    }\n",
       "    window.opts['11b75adc_de30_4062_b223_44029758f3df'] = opt;\n",
       "\n",
       "    console.log('Highcharts/Highstock options accessible as opts[\"11b75adc_de30_4062_b223_44029758f3df\"]');\n",
       "    \n",
       "            \n",
       "            window.chart = new Highcharts.Chart(options);\n",
       "            \n",
       "    console.log('Highcharts/Highstock chart accessible as charts[\"11b75adc_de30_4062_b223_44029758f3df\"]');\n",
       "    \n",
       "        });\n",
       "    });\n",
       "    </script>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.plotOptions.bar.stacking = 'normal'\n",
    "\n",
    "g.title.text = 'Stacked Bar Chart'\n",
    "g.xAxis.title.text = 'Total Fruit Consumption'\n",
    "\n",
    "g.plot(version='6.1.2')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div id=\"49469ae5_9509_43ee_8257_08ae007bf949container_chart\"></div><script>\n",
       "    // the Jupyter notebook loads jquery.min.js  and require.js and at the top of the page\n",
       "    // then to make jquery available inside a require module\n",
       "    // the trick is http://www.manuel-strehl.de/dev/load_jquery_before_requirejs.en.html\n",
       "    define('jquery', [], function() {\n",
       "        return jQuery;\n",
       "    });\n",
       "\n",
       "    // hardcoded var - temporary\n",
       "    require(['jquery', 'https://code.highcharts.com/stock/6.1.2/highstock.js', 'https://d3js.org/d3.v3.min.js'], function(jquery,\n",
       "                         Highcharts,\n",
       "                         d3\n",
       "                         ) {\n",
       "        // hardcoded var - temporary\n",
       "        require(['https://code.highcharts.com/stock/6.1.2/highcharts-more.js', 'https://code.highcharts.com/stock/6.1.2/modules/exporting.js', 'https://code.highcharts.com/stock/6.1.2/modules/offline-exporting.js', 'https://code.highcharts.com/stock/6.1.2/modules/export-data.js', 'https://code.highcharts.com/stock/6.1.2/modules/drilldown.js', 'https://code.highcharts.com/stock/6.1.2/modules/heatmap.js', 'https://code.highcharts.com/stock/6.1.2/modules/treemap.js', 'https://code.highcharts.com/stock/6.1.2/modules/sunburst.js', 'https://cdn.datatables.net/1.10.10/js/jquery.dataTables.min.js'], function(hcMore,\n",
       "                             exporting,\n",
       "                             offLineExporting,\n",
       "                             exportData,\n",
       "                             drilldown,\n",
       "                             heatmap,\n",
       "                             treemap,\n",
       "                             sunburst,\n",
       "                             dataTables,\n",
       "                             ) {\n",
       "            hcMore(Highcharts);\n",
       "            exporting(Highcharts);\n",
       "            offLineExporting(Highcharts);\n",
       "            exportData(Highcharts);\n",
       "            drilldown(Highcharts);\n",
       "            heatmap(Highcharts);\n",
       "            treemap(Highcharts);\n",
       "            sunburst(Highcharts);\n",
       "            \n",
       "    var options = {\"credits\":{\"enabled\":false},\"exporting\":{\"enabled\":true},\"chart\":{\"animation\":false,\"type\":\"bar\",\"width\":500,\"height\":400,\"renderTo\":\"49469ae5_9509_43ee_8257_08ae007bf949container_chart\"},\"series\":[{\"name\":\"Jane\",\"yAxis\":0,\"data\":[[\"Apples\",2],[\"Oranges\",2],[\"Pears\",3],[\"Grapes\",2],[\"Bananas\",1]]},{\"name\":\"Joe\",\"yAxis\":0,\"data\":[[\"Apples\",3],[\"Oranges\",4],[\"Pears\",4],[\"Grapes\",2],[\"Bananas\",5]]},{\"name\":\"John\",\"yAxis\":0,\"data\":[[\"Apples\",5],[\"Oranges\",3],[\"Pears\",4],[\"Grapes\",7],[\"Bananas\",2]]}],\"plotOptions\":{\"series\":{\"animation\":false},\"line\":{\"animation\":false},\"column\":{\"animation\":false},\"bar\":{\"animation\":false,\"stacking\":\"percent\"},\"pie\":{\"animation\":false},\"scatter\":{\"animation\":false},\"bubble\":{\"animation\":false},\"treemap\":{\"animation\":false}},\"title\":{\"text\":\"Stacked Bar Chart\"},\"xAxis\":{\"title\":{\"text\":\"Fruit Consumption Distribution\"},\"categories\":[\"Apples\",\"Oranges\",\"Pears\",\"Grapes\",\"Bananas\"]}};\n",
       "    \n",
       "options = JSON.stringify(options);\n",
       "\n",
       "options = JSON.parse(options, function (key, value) {\n",
       "\n",
       "\tif (value && (typeof value === \"string\")) {\n",
       "\n",
       "\t\t\t\tvar check1 = (value.replace(/\\s+/g, '').replace(/\\r?\\n|\\r/g, '').substr(0, 8) == \"function\"),\n",
       "\t\t\tcheck2 = (value.replace(/\\s+/g, '').replace(/\\r?\\n|\\r/g, '').substr(0, 9) == \"(function\");\n",
       "\n",
       "\n",
       "\t\tif (check1) {\n",
       "\t\t\tvar startBody = value.indexOf('{') + 1;\n",
       "\t\t\tvar endBody = value.lastIndexOf('}');\n",
       "\t\t\tvar startArgs = value.indexOf('(') + 1;\n",
       "\t\t\tvar endArgs = value.indexOf(')');\n",
       "\n",
       "\t\t\treturn new Function(value.substring(startArgs, endArgs),\n",
       "\t\t\t\tvalue.substring(startBody, endBody));\n",
       "\t\t}\n",
       "\t\tif (check2) {\n",
       "\t\t\treturn eval(value);\n",
       "\t\t}\n",
       "\n",
       "\t}\n",
       "\n",
       "\treturn value;\n",
       "\n",
       "});\n",
       "    \n",
       "\n",
       "    var opt = $.extend(true, {}, options);\n",
       "    if (window.opts==undefined) {\n",
       "        window.opts = {};\n",
       "    }\n",
       "    window.opts['49469ae5_9509_43ee_8257_08ae007bf949'] = opt;\n",
       "\n",
       "    console.log('Highcharts/Highstock options accessible as opts[\"49469ae5_9509_43ee_8257_08ae007bf949\"]');\n",
       "    \n",
       "            \n",
       "            window.chart = new Highcharts.Chart(options);\n",
       "            \n",
       "    console.log('Highcharts/Highstock chart accessible as charts[\"49469ae5_9509_43ee_8257_08ae007bf949\"]');\n",
       "    \n",
       "        });\n",
       "    });\n",
       "    </script>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.plotOptions.bar.stacking = 'percent'\n",
    "\n",
    "g.title.text = 'Stacked Bar Chart'\n",
    "g.xAxis.title.text = 'Fruit Consumption Distribution'\n",
    "\n",
    "g.plot(version='6.1.2')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Pie"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>MktShare</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brand</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Firefox</th>\n",
       "      <td>45.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IE</th>\n",
       "      <td>26.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chrome</th>\n",
       "      <td>12.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Safari</th>\n",
       "      <td>8.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Opera</th>\n",
       "      <td>6.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Others</th>\n",
       "      <td>0.7</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         MktShare\n",
       "Brand            \n",
       "Firefox      45.0\n",
       "IE           26.8\n",
       "Chrome       12.8\n",
       "Safari        8.5\n",
       "Opera         6.2\n",
       "Others        0.7"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = hc.sample.df_one_idx_one_col()\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div id=\"ac7cf8a2_1427_4b87_951e_4ad844ab7712container_chart\"></div><script>\n",
       "    // the Jupyter notebook loads jquery.min.js  and require.js and at the top of the page\n",
       "    // then to make jquery available inside a require module\n",
       "    // the trick is http://www.manuel-strehl.de/dev/load_jquery_before_requirejs.en.html\n",
       "    define('jquery', [], function() {\n",
       "        return jQuery;\n",
       "    });\n",
       "\n",
       "    // hardcoded var - temporary\n",
       "    require(['jquery', 'https://code.highcharts.com/stock/6.1.2/highstock.js', 'https://d3js.org/d3.v3.min.js'], function(jquery,\n",
       "                         Highcharts,\n",
       "                         d3\n",
       "                         ) {\n",
       "        // hardcoded var - temporary\n",
       "        require(['https://code.highcharts.com/stock/6.1.2/highcharts-more.js', 'https://code.highcharts.com/stock/6.1.2/modules/exporting.js', 'https://code.highcharts.com/stock/6.1.2/modules/offline-exporting.js', 'https://code.highcharts.com/stock/6.1.2/modules/export-data.js', 'https://code.highcharts.com/stock/6.1.2/modules/drilldown.js', 'https://code.highcharts.com/stock/6.1.2/modules/heatmap.js', 'https://code.highcharts.com/stock/6.1.2/modules/treemap.js', 'https://code.highcharts.com/stock/6.1.2/modules/sunburst.js', 'https://cdn.datatables.net/1.10.10/js/jquery.dataTables.min.js'], function(hcMore,\n",
       "                             exporting,\n",
       "                             offLineExporting,\n",
       "                             exportData,\n",
       "                             drilldown,\n",
       "                             heatmap,\n",
       "                             treemap,\n",
       "                             sunburst,\n",
       "                             dataTables,\n",
       "                             ) {\n",
       "            hcMore(Highcharts);\n",
       "            exporting(Highcharts);\n",
       "            offLineExporting(Highcharts);\n",
       "            exportData(Highcharts);\n",
       "            drilldown(Highcharts);\n",
       "            heatmap(Highcharts);\n",
       "            treemap(Highcharts);\n",
       "            sunburst(Highcharts);\n",
       "            \n",
       "    var options = {\"credits\":{\"enabled\":false},\"exporting\":{\"enabled\":true},\"chart\":{\"animation\":false,\"type\":\"pie\",\"width\":400,\"height\":400,\"renderTo\":\"ac7cf8a2_1427_4b87_951e_4ad844ab7712container_chart\"},\"series\":[{\"name\":\"MktShare\",\"yAxis\":0,\"data\":[[\"Firefox\",45.0],[\"IE\",26.8],[\"Chrome\",12.8],[\"Safari\",8.5],[\"Opera\",6.2],[\"Others\",0.7]]}],\"plotOptions\":{\"series\":{\"animation\":false},\"line\":{\"animation\":false},\"column\":{\"animation\":false},\"bar\":{\"animation\":false},\"pie\":{\"animation\":false,\"showInLegend\":true,\"dataLabels\":{\"enabled\":false}},\"scatter\":{\"animation\":false},\"bubble\":{\"animation\":false},\"treemap\":{\"animation\":false}},\"title\":{\"text\":\"Browser Market Share\"}};\n",
       "    \n",
       "options = JSON.stringify(options);\n",
       "\n",
       "options = JSON.parse(options, function (key, value) {\n",
       "\n",
       "\tif (value && (typeof value === \"string\")) {\n",
       "\n",
       "\t\t\t\tvar check1 = (value.replace(/\\s+/g, '').replace(/\\r?\\n|\\r/g, '').substr(0, 8) == \"function\"),\n",
       "\t\t\tcheck2 = (value.replace(/\\s+/g, '').replace(/\\r?\\n|\\r/g, '').substr(0, 9) == \"(function\");\n",
       "\n",
       "\n",
       "\t\tif (check1) {\n",
       "\t\t\tvar startBody = value.indexOf('{') + 1;\n",
       "\t\t\tvar endBody = value.lastIndexOf('}');\n",
       "\t\t\tvar startArgs = value.indexOf('(') + 1;\n",
       "\t\t\tvar endArgs = value.indexOf(')');\n",
       "\n",
       "\t\t\treturn new Function(value.substring(startArgs, endArgs),\n",
       "\t\t\t\tvalue.substring(startBody, endBody));\n",
       "\t\t}\n",
       "\t\tif (check2) {\n",
       "\t\t\treturn eval(value);\n",
       "\t\t}\n",
       "\n",
       "\t}\n",
       "\n",
       "\treturn value;\n",
       "\n",
       "});\n",
       "    \n",
       "\n",
       "    var opt = $.extend(true, {}, options);\n",
       "    if (window.opts==undefined) {\n",
       "        window.opts = {};\n",
       "    }\n",
       "    window.opts['ac7cf8a2_1427_4b87_951e_4ad844ab7712'] = opt;\n",
       "\n",
       "    console.log('Highcharts/Highstock options accessible as opts[\"ac7cf8a2_1427_4b87_951e_4ad844ab7712\"]');\n",
       "    \n",
       "            \n",
       "            window.chart = new Highcharts.Chart(options);\n",
       "            \n",
       "    console.log('Highcharts/Highstock chart accessible as charts[\"ac7cf8a2_1427_4b87_951e_4ad844ab7712\"]');\n",
       "    \n",
       "        });\n",
       "    });\n",
       "    </script>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g = hc.Highcharts()\n",
    "\n",
    "g.chart.type = 'pie'\n",
    "g.chart.width = 400\n",
    "g.chart.height = 400\n",
    "gpo = g.plotOptions.pie\n",
    "gpo.showInLegend = True\n",
    "gpo.dataLabels.enabled = False\n",
    "\n",
    "g.title.text = 'Browser Market Share'\n",
    "\n",
    "g.series = hc.build.series(df)\n",
    "\n",
    "g.plot(version='6.1.2')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div id=\"508b9369_591d_4d27_bc37_e7ee921461e8container_chart\"></div><script>\n",
       "    // the Jupyter notebook loads jquery.min.js  and require.js and at the top of the page\n",
       "    // then to make jquery available inside a require module\n",
       "    // the trick is http://www.manuel-strehl.de/dev/load_jquery_before_requirejs.en.html\n",
       "    define('jquery', [], function() {\n",
       "        return jQuery;\n",
       "    });\n",
       "\n",
       "    // hardcoded var - temporary\n",
       "    require(['jquery', 'https://code.highcharts.com/stock/6.1.2/highstock.js', 'https://d3js.org/d3.v3.min.js'], function(jquery,\n",
       "                         Highcharts,\n",
       "                         d3\n",
       "                         ) {\n",
       "        // hardcoded var - temporary\n",
       "        require(['https://code.highcharts.com/stock/6.1.2/highcharts-more.js', 'https://code.highcharts.com/stock/6.1.2/modules/exporting.js', 'https://code.highcharts.com/stock/6.1.2/modules/offline-exporting.js', 'https://code.highcharts.com/stock/6.1.2/modules/export-data.js', 'https://code.highcharts.com/stock/6.1.2/modules/drilldown.js', 'https://code.highcharts.com/stock/6.1.2/modules/heatmap.js', 'https://code.highcharts.com/stock/6.1.2/modules/treemap.js', 'https://code.highcharts.com/stock/6.1.2/modules/sunburst.js', 'https://cdn.datatables.net/1.10.10/js/jquery.dataTables.min.js'], function(hcMore,\n",
       "                             exporting,\n",
       "                             offLineExporting,\n",
       "                             exportData,\n",
       "                             drilldown,\n",
       "                             heatmap,\n",
       "                             treemap,\n",
       "                             sunburst,\n",
       "                             dataTables,\n",
       "                             ) {\n",
       "            hcMore(Highcharts);\n",
       "            exporting(Highcharts);\n",
       "            offLineExporting(Highcharts);\n",
       "            exportData(Highcharts);\n",
       "            drilldown(Highcharts);\n",
       "            heatmap(Highcharts);\n",
       "            treemap(Highcharts);\n",
       "            sunburst(Highcharts);\n",
       "            \n",
       "    var options = {\"credits\":{\"enabled\":false},\"exporting\":{\"enabled\":true},\"chart\":{\"animation\":false,\"type\":\"pie\",\"width\":400,\"height\":300,\"renderTo\":\"508b9369_591d_4d27_bc37_e7ee921461e8container_chart\"},\"series\":[{\"name\":\"MktShare\",\"yAxis\":0,\"data\":[[\"Firefox\",45.0],[\"IE\",26.8],[\"Chrome\",12.8],[\"Safari\",8.5],[\"Opera\",6.2],[\"Others\",0.7]]}],\"plotOptions\":{\"series\":{\"animation\":false},\"line\":{\"animation\":false},\"column\":{\"animation\":false},\"bar\":{\"animation\":false},\"pie\":{\"animation\":false,\"showInLegend\":false,\"dataLabels\":{\"enabled\":true},\"startAngle\":-90,\"endAngle\":90,\"innerSize\":\"40%\",\"center\":[\"50%\",\"95%\"]},\"scatter\":{\"animation\":false},\"bubble\":{\"animation\":false},\"treemap\":{\"animation\":false}},\"title\":{\"text\":\"Browser Market Share\"}};\n",
       "    \n",
       "options = JSON.stringify(options);\n",
       "\n",
       "options = JSON.parse(options, function (key, value) {\n",
       "\n",
       "\tif (value && (typeof value === \"string\")) {\n",
       "\n",
       "\t\t\t\tvar check1 = (value.replace(/\\s+/g, '').replace(/\\r?\\n|\\r/g, '').substr(0, 8) == \"function\"),\n",
       "\t\t\tcheck2 = (value.replace(/\\s+/g, '').replace(/\\r?\\n|\\r/g, '').substr(0, 9) == \"(function\");\n",
       "\n",
       "\n",
       "\t\tif (check1) {\n",
       "\t\t\tvar startBody = value.indexOf('{') + 1;\n",
       "\t\t\tvar endBody = value.lastIndexOf('}');\n",
       "\t\t\tvar startArgs = value.indexOf('(') + 1;\n",
       "\t\t\tvar endArgs = value.indexOf(')');\n",
       "\n",
       "\t\t\treturn new Function(value.substring(startArgs, endArgs),\n",
       "\t\t\t\tvalue.substring(startBody, endBody));\n",
       "\t\t}\n",
       "\t\tif (check2) {\n",
       "\t\t\treturn eval(value);\n",
       "\t\t}\n",
       "\n",
       "\t}\n",
       "\n",
       "\treturn value;\n",
       "\n",
       "});\n",
       "    \n",
       "\n",
       "    var opt = $.extend(true, {}, options);\n",
       "    if (window.opts==undefined) {\n",
       "        window.opts = {};\n",
       "    }\n",
       "    window.opts['508b9369_591d_4d27_bc37_e7ee921461e8'] = opt;\n",
       "\n",
       "    console.log('Highcharts/Highstock options accessible as opts[\"508b9369_591d_4d27_bc37_e7ee921461e8\"]');\n",
       "    \n",
       "            \n",
       "            window.chart = new Highcharts.Chart(options);\n",
       "            \n",
       "    console.log('Highcharts/Highstock chart accessible as charts[\"508b9369_591d_4d27_bc37_e7ee921461e8\"]');\n",
       "    \n",
       "        });\n",
       "    });\n",
       "    </script>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g.chart.width = 400\n",
    "g.chart.height = 300\n",
    "\n",
    "gpo.showInLegend = False\n",
    "gpo.dataLabels.enabled = True\n",
    "\n",
    "gpo.startAngle = -90\n",
    "gpo.endAngle = 90\n",
    "gpo.innerSize = '40%'\n",
    "gpo.center = ['50%', '95%']\n",
    "\n",
    "g.plot(version='6.1.2')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Pie, Column Drilldown"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Market Share</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brand</th>\n",
       "      <th>Version</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"4\" valign=\"top\">Internet Explorer</th>\n",
       "      <th>6.0</th>\n",
       "      <td>6.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.0</th>\n",
       "      <td>3.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8.0</th>\n",
       "      <td>26.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9.0</th>\n",
       "      <td>16.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Firefox</th>\n",
       "      <th>2.0</th>\n",
       "      <td>0.09</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           Market Share\n",
       "Brand             Version              \n",
       "Internet Explorer 6.0              6.40\n",
       "                  7.0              3.55\n",
       "                  8.0             26.70\n",
       "                  9.0             16.96\n",
       "Firefox           2.0              0.09"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = hc.sample.df_two_idx_one_col()\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div id=\"428e8f01_8aa2_44ce_827b_e506cd20255bcontainer_chart\"></div><script>\n",
       "    // the Jupyter notebook loads jquery.min.js  and require.js and at the top of the page\n",
       "    // then to make jquery available inside a require module\n",
       "    // the trick is http://www.manuel-strehl.de/dev/load_jquery_before_requirejs.en.html\n",
       "    define('jquery', [], function() {\n",
       "        return jQuery;\n",
       "    });\n",
       "\n",
       "    // hardcoded var - temporary\n",
       "    require(['jquery', 'https://code.highcharts.com/stock/6.1.2/highstock.js', 'https://d3js.org/d3.v3.min.js'], function(jquery,\n",
       "                         Highcharts,\n",
       "                         d3\n",
       "                         ) {\n",
       "        // hardcoded var - temporary\n",
       "        require(['https://code.highcharts.com/stock/6.1.2/highcharts-more.js', 'https://code.highcharts.com/stock/6.1.2/modules/exporting.js', 'https://code.highcharts.com/stock/6.1.2/modules/offline-exporting.js', 'https://code.highcharts.com/stock/6.1.2/modules/export-data.js', 'https://code.highcharts.com/stock/6.1.2/modules/drilldown.js', 'https://code.highcharts.com/stock/6.1.2/modules/heatmap.js', 'https://code.highcharts.com/stock/6.1.2/modules/treemap.js', 'https://code.highcharts.com/stock/6.1.2/modules/sunburst.js', 'https://cdn.datatables.net/1.10.10/js/jquery.dataTables.min.js'], function(hcMore,\n",
       "                             exporting,\n",
       "                             offLineExporting,\n",
       "                             exportData,\n",
       "                             drilldown,\n",
       "                             heatmap,\n",
       "                             treemap,\n",
       "                             sunburst,\n",
       "                             dataTables,\n",
       "                             ) {\n",
       "            hcMore(Highcharts);\n",
       "            exporting(Highcharts);\n",
       "            offLineExporting(Highcharts);\n",
       "            exportData(Highcharts);\n",
       "            drilldown(Highcharts);\n",
       "            heatmap(Highcharts);\n",
       "            treemap(Highcharts);\n",
       "            sunburst(Highcharts);\n",
       "            \n",
       "    var options = {\"credits\":{\"enabled\":false},\"exporting\":false,\"chart\":{\"animation\":false,\"type\":\"pie\",\"width\":500,\"height\":500,\"renderTo\":\"428e8f01_8aa2_44ce_827b_e506cd20255bcontainer_chart\"},\"series\":[{\"id\":\"Market Share-toplevel\",\"name\":\"Top\",\"colorByPoint\":true,\"data\":[{\"name\":\"Chrome\",\"y\":18.73,\"drilldown\":\"Market Share-toplevel-Chrome\",\"pointPlacement\":\"on\"},{\"name\":\"Firefox\",\"y\":19.9,\"drilldown\":\"Market Share-toplevel-Firefox\",\"pointPlacement\":\"on\"},{\"name\":\"Internet Explorer\",\"y\":53.61,\"drilldown\":\"Market Share-toplevel-Internet Explorer\",\"pointPlacement\":\"on\"},{\"name\":\"Opera\",\"y\":1.54,\"drilldown\":\"Market Share-toplevel-Opera\",\"pointPlacement\":\"on\"},{\"name\":\"Safari\",\"y\":4.64,\"drilldown\":\"Market Share-toplevel-Safari\",\"pointPlacement\":\"on\"},{\"name\":\"Unknown\",\"y\":0.29,\"drilldown\":\"Market Share-toplevel-Unknown\",\"pointPlacement\":\"on\"}]}],\"plotOptions\":{\"series\":{\"animation\":false},\"line\":{\"animation\":false},\"column\":{\"animation\":false},\"bar\":{\"animation\":false},\"pie\":{\"animation\":false,\"showInLegend\":false,\"dataLabels\":{\"enabled\":true},\"center\":[\"50%\",\"50%\"],\"size\":\"65%\"},\"scatter\":{\"animation\":false},\"bubble\":{\"animation\":false},\"treemap\":{\"animation\":false}},\"drilldown\":{\"drillUpButton\":{\"position\":{\"x\":0,\"y\":0}},\"series\":[{\"id\":\"Market Share-toplevel-Chrome\",\"name\":\"Chrome\",\"colorByPoint\":true,\"data\":[{\"name\":\"10\",\"y\":0.09},{\"name\":\"11\",\"y\":0.1},{\"name\":\"12\",\"y\":0.16},{\"name\":\"13\",\"y\":0.13},{\"name\":\"14.0\",\"y\":0.25},{\"name\":\"15.0\",\"y\":0.18},{\"name\":\"16.0\",\"y\":0.45},{\"name\":\"17.0\",\"y\":1.13},{\"name\":\"18.0\",\"y\":8.27},{\"name\":\"19.0\",\"y\":7.73},{\"name\":\"20.0\",\"y\":0.24}]},{\"id\":\"Market Share-toplevel-Firefox\",\"name\":\"Firefox\",\"colorByPoint\":true,\"data\":[{\"name\":\"2.0\",\"y\":0.09},{\"name\":\"3.0\",\"y\":0.36},{\"name\":\"3.5\",\"y\":0.36},{\"name\":\"3.6\",\"y\":1.87},{\"name\":\"4.0\",\"y\":0.5},{\"name\":\"5.0\",\"y\":0.31},{\"name\":\"6.0\",\"y\":0.32},{\"name\":\"7.0\",\"y\":0.29},{\"name\":\"8.0\",\"y\":0.55},{\"name\":\"9.0\",\"y\":0.65},{\"name\":\"10\",\"y\":0.9},{\"name\":\"11\",\"y\":4.72},{\"name\":\"12\",\"y\":6.72},{\"name\":\"13\",\"y\":2.16},{\"name\":\"14.0\",\"y\":0.1}]},{\"id\":\"Market Share-toplevel-Internet Explorer\",\"name\":\"Internet Explorer\",\"colorByPoint\":true,\"data\":[{\"name\":\"6.0\",\"y\":6.4},{\"name\":\"7.0\",\"y\":3.55},{\"name\":\"8.0\",\"y\":26.7},{\"name\":\"9.0\",\"y\":16.96}]},{\"id\":\"Market Share-toplevel-Opera\",\"name\":\"Opera\",\"colorByPoint\":true,\"data\":[{\"name\":\"10.x\",\"y\":0.09},{\"name\":\"11.x\",\"y\":1.3},{\"name\":\"12.x\",\"y\":0.15}]},{\"id\":\"Market Share-toplevel-Safari\",\"name\":\"Safari\",\"colorByPoint\":true,\"data\":[{\"name\":\"4.0\",\"y\":0.14},{\"name\":\"4.1\",\"y\":0.12},{\"name\":\"5.0\",\"y\":0.85},{\"name\":\"5.1\",\"y\":3.53}]},{\"id\":\"Market Share-toplevel-Unknown\",\"name\":\"Unknown\",\"colorByPoint\":true,\"data\":[{\"name\":\"Unknown\",\"y\":0.29}]},{\"id\":\"Market Share-toplevel\",\"name\":\"Top\",\"colorByPoint\":true,\"data\":[{\"name\":\"Chrome\",\"y\":18.73,\"drilldown\":\"Market Share-toplevel-Chrome\",\"pointPlacement\":\"on\"},{\"name\":\"Firefox\",\"y\":19.9,\"drilldown\":\"Market Share-toplevel-Firefox\",\"pointPlacement\":\"on\"},{\"name\":\"Internet Explorer\",\"y\":53.61,\"drilldown\":\"Market Share-toplevel-Internet Explorer\",\"pointPlacement\":\"on\"},{\"name\":\"Opera\",\"y\":1.54,\"drilldown\":\"Market Share-toplevel-Opera\",\"pointPlacement\":\"on\"},{\"name\":\"Safari\",\"y\":4.64,\"drilldown\":\"Market Share-toplevel-Safari\",\"pointPlacement\":\"on\"},{\"name\":\"Unknown\",\"y\":0.29,\"drilldown\":\"Market Share-toplevel-Unknown\",\"pointPlacement\":\"on\"}]}]},\"title\":{\"text\":\"Browser Market Share\"}};\n",
       "    \n",
       "options = JSON.stringify(options);\n",
       "\n",
       "options = JSON.parse(options, function (key, value) {\n",
       "\n",
       "\tif (value && (typeof value === \"string\")) {\n",
       "\n",
       "\t\t\t\tvar check1 = (value.replace(/\\s+/g, '').replace(/\\r?\\n|\\r/g, '').substr(0, 8) == \"function\"),\n",
       "\t\t\tcheck2 = (value.replace(/\\s+/g, '').replace(/\\r?\\n|\\r/g, '').substr(0, 9) == \"(function\");\n",
       "\n",
       "\n",
       "\t\tif (check1) {\n",
       "\t\t\tvar startBody = value.indexOf('{') + 1;\n",
       "\t\t\tvar endBody = value.lastIndexOf('}');\n",
       "\t\t\tvar startArgs = value.indexOf('(') + 1;\n",
       "\t\t\tvar endArgs = value.indexOf(')');\n",
       "\n",
       "\t\t\treturn new Function(value.substring(startArgs, endArgs),\n",
       "\t\t\t\tvalue.substring(startBody, endBody));\n",
       "\t\t}\n",
       "\t\tif (check2) {\n",
       "\t\t\treturn eval(value);\n",
       "\t\t}\n",
       "\n",
       "\t}\n",
       "\n",
       "\treturn value;\n",
       "\n",
       "});\n",
       "    \n",
       "\n",
       "    var opt = $.extend(true, {}, options);\n",
       "    if (window.opts==undefined) {\n",
       "        window.opts = {};\n",
       "    }\n",
       "    window.opts['428e8f01_8aa2_44ce_827b_e506cd20255b'] = opt;\n",
       "\n",
       "    console.log('Highcharts/Highstock options accessible as opts[\"428e8f01_8aa2_44ce_827b_e506cd20255b\"]');\n",
       "    \n",
       "            \n",
       "            window.chart = new Highcharts.Chart(options);\n",
       "            \n",
       "    console.log('Highcharts/Highstock chart accessible as charts[\"428e8f01_8aa2_44ce_827b_e506cd20255b\"]');\n",
       "    \n",
       "        });\n",
       "    });\n",
       "    </script>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g = hc.Highcharts()\n",
    "\n",
    "g.chart.type = 'pie'\n",
    "g.chart.width = 500\n",
    "g.chart.height = 500\n",
    "g.exporting = False\n",
    "gpo = g.plotOptions.pie\n",
    "gpo.showInLegend = False\n",
    "gpo.dataLabels.enabled = True\n",
    "gpo.center = ['50%', '50%']\n",
    "gpo.size = '65%'\n",
    "g.drilldown.drillUpButton.position = {'x': 0, 'y': 0}\n",
    "\n",
    "g.title.text = 'Browser Market Share'\n",
    "\n",
    "g.series, g.drilldown.series = hc.build.series_drilldown(df)\n",
    "\n",
    "g.plot(version='6.1.2')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div id=\"046b4ad9_5174_4671_8e60_3e53662be29econtainer_chart\"></div><script>\n",
       "    // the Jupyter notebook loads jquery.min.js  and require.js and at the top of the page\n",
       "    // then to make jquery available inside a require module\n",
       "    // the trick is http://www.manuel-strehl.de/dev/load_jquery_before_requirejs.en.html\n",
       "    define('jquery', [], function() {\n",
       "        return jQuery;\n",
       "    });\n",
       "\n",
       "    // hardcoded var - temporary\n",
       "    require(['jquery', 'https://code.highcharts.com/stock/9.0.1/highstock.js', 'https://d3js.org/d3.v3.min.js'], function(jquery,\n",
       "                         Highcharts,\n",
       "                         d3\n",
       "                         ) {\n",
       "        // hardcoded var - temporary\n",
       "        require(['https://code.highcharts.com/stock/9.0.1/highcharts-more.js', 'https://code.highcharts.com/stock/9.0.1/modules/exporting.js', 'https://code.highcharts.com/stock/9.0.1/modules/offline-exporting.js', 'https://code.highcharts.com/stock/9.0.1/modules/export-data.js', 'https://code.highcharts.com/stock/9.0.1/modules/drilldown.js', 'https://code.highcharts.com/stock/9.0.1/modules/heatmap.js', 'https://code.highcharts.com/stock/9.0.1/modules/treemap.js', 'https://code.highcharts.com/stock/9.0.1/modules/sunburst.js', 'https://cdn.datatables.net/1.10.10/js/jquery.dataTables.min.js'], function(hcMore,\n",
       "                             exporting,\n",
       "                             offLineExporting,\n",
       "                             exportData,\n",
       "                             drilldown,\n",
       "                             heatmap,\n",
       "                             treemap,\n",
       "                             sunburst,\n",
       "                             dataTables,\n",
       "                             ) {\n",
       "            hcMore(Highcharts);\n",
       "            exporting(Highcharts);\n",
       "            offLineExporting(Highcharts);\n",
       "            exportData(Highcharts);\n",
       "            drilldown(Highcharts);\n",
       "            heatmap(Highcharts);\n",
       "            treemap(Highcharts);\n",
       "            sunburst(Highcharts);\n",
       "            \n",
       "    var options = {\"credits\":{\"enabled\":false},\"exporting\":false,\"chart\":{\"animation\":false,\"type\":\"bar\",\"width\":500,\"height\":500,\"renderTo\":\"046b4ad9_5174_4671_8e60_3e53662be29econtainer_chart\"},\"series\":[{\"id\":\"Market Share-toplevel\",\"name\":\"Top\",\"colorByPoint\":true,\"data\":[{\"name\":\"Chrome\",\"y\":18.73,\"drilldown\":\"Market Share-toplevel-Chrome\",\"pointPlacement\":\"on\"},{\"name\":\"Firefox\",\"y\":19.9,\"drilldown\":\"Market Share-toplevel-Firefox\",\"pointPlacement\":\"on\"},{\"name\":\"Internet Explorer\",\"y\":53.61,\"drilldown\":\"Market Share-toplevel-Internet Explorer\",\"pointPlacement\":\"on\"},{\"name\":\"Opera\",\"y\":1.54,\"drilldown\":\"Market Share-toplevel-Opera\",\"pointPlacement\":\"on\"},{\"name\":\"Safari\",\"y\":4.64,\"drilldown\":\"Market Share-toplevel-Safari\",\"pointPlacement\":\"on\"},{\"name\":\"Unknown\",\"y\":0.29,\"drilldown\":\"Market Share-toplevel-Unknown\",\"pointPlacement\":\"on\"}]}],\"plotOptions\":{\"series\":{\"animation\":false},\"line\":{\"animation\":false},\"column\":{\"animation\":false},\"bar\":{\"animation\":false},\"pie\":{\"animation\":false,\"showInLegend\":false,\"dataLabels\":{\"enabled\":true},\"center\":[\"50%\",\"50%\"],\"size\":\"65%\"},\"scatter\":{\"animation\":false},\"bubble\":{\"animation\":false},\"treemap\":{\"animation\":false}},\"drilldown\":{\"drillUpButton\":{\"position\":{\"x\":0,\"y\":0}},\"series\":[{\"id\":\"Market Share-toplevel-Chrome\",\"name\":\"Chrome\",\"colorByPoint\":true,\"data\":[{\"name\":\"10\",\"y\":0.09},{\"name\":\"11\",\"y\":0.1},{\"name\":\"12\",\"y\":0.16},{\"name\":\"13\",\"y\":0.13},{\"name\":\"14.0\",\"y\":0.25},{\"name\":\"15.0\",\"y\":0.18},{\"name\":\"16.0\",\"y\":0.45},{\"name\":\"17.0\",\"y\":1.13},{\"name\":\"18.0\",\"y\":8.27},{\"name\":\"19.0\",\"y\":7.73},{\"name\":\"20.0\",\"y\":0.24}]},{\"id\":\"Market Share-toplevel-Firefox\",\"name\":\"Firefox\",\"colorByPoint\":true,\"data\":[{\"name\":\"2.0\",\"y\":0.09},{\"name\":\"3.0\",\"y\":0.36},{\"name\":\"3.5\",\"y\":0.36},{\"name\":\"3.6\",\"y\":1.87},{\"name\":\"4.0\",\"y\":0.5},{\"name\":\"5.0\",\"y\":0.31},{\"name\":\"6.0\",\"y\":0.32},{\"name\":\"7.0\",\"y\":0.29},{\"name\":\"8.0\",\"y\":0.55},{\"name\":\"9.0\",\"y\":0.65},{\"name\":\"10\",\"y\":0.9},{\"name\":\"11\",\"y\":4.72},{\"name\":\"12\",\"y\":6.72},{\"name\":\"13\",\"y\":2.16},{\"name\":\"14.0\",\"y\":0.1}]},{\"id\":\"Market Share-toplevel-Internet Explorer\",\"name\":\"Internet Explorer\",\"colorByPoint\":true,\"data\":[{\"name\":\"6.0\",\"y\":6.4},{\"name\":\"7.0\",\"y\":3.55},{\"name\":\"8.0\",\"y\":26.7},{\"name\":\"9.0\",\"y\":16.96}]},{\"id\":\"Market Share-toplevel-Opera\",\"name\":\"Opera\",\"colorByPoint\":true,\"data\":[{\"name\":\"10.x\",\"y\":0.09},{\"name\":\"11.x\",\"y\":1.3},{\"name\":\"12.x\",\"y\":0.15}]},{\"id\":\"Market Share-toplevel-Safari\",\"name\":\"Safari\",\"colorByPoint\":true,\"data\":[{\"name\":\"4.0\",\"y\":0.14},{\"name\":\"4.1\",\"y\":0.12},{\"name\":\"5.0\",\"y\":0.85},{\"name\":\"5.1\",\"y\":3.53}]},{\"id\":\"Market Share-toplevel-Unknown\",\"name\":\"Unknown\",\"colorByPoint\":true,\"data\":[{\"name\":\"Unknown\",\"y\":0.29}]},{\"id\":\"Market Share-toplevel\",\"name\":\"Top\",\"colorByPoint\":true,\"data\":[{\"name\":\"Chrome\",\"y\":18.73,\"drilldown\":\"Market Share-toplevel-Chrome\",\"pointPlacement\":\"on\"},{\"name\":\"Firefox\",\"y\":19.9,\"drilldown\":\"Market Share-toplevel-Firefox\",\"pointPlacement\":\"on\"},{\"name\":\"Internet Explorer\",\"y\":53.61,\"drilldown\":\"Market Share-toplevel-Internet Explorer\",\"pointPlacement\":\"on\"},{\"name\":\"Opera\",\"y\":1.54,\"drilldown\":\"Market Share-toplevel-Opera\",\"pointPlacement\":\"on\"},{\"name\":\"Safari\",\"y\":4.64,\"drilldown\":\"Market Share-toplevel-Safari\",\"pointPlacement\":\"on\"},{\"name\":\"Unknown\",\"y\":0.29,\"drilldown\":\"Market Share-toplevel-Unknown\",\"pointPlacement\":\"on\"}]}]},\"title\":{\"text\":\"Browser Market Share\"}};\n",
       "    \n",
       "options = JSON.stringify(options);\n",
       "\n",
       "options = JSON.parse(options, function (key, value) {\n",
       "\n",
       "\tif (value && (typeof value === \"string\")) {\n",
       "\n",
       "\t\t\t\tvar check1 = (value.replace(/\\s+/g, '').replace(/\\r?\\n|\\r/g, '').substr(0, 8) == \"function\"),\n",
       "\t\t\tcheck2 = (value.replace(/\\s+/g, '').replace(/\\r?\\n|\\r/g, '').substr(0, 9) == \"(function\");\n",
       "\n",
       "\n",
       "\t\tif (check1) {\n",
       "\t\t\tvar startBody = value.indexOf('{') + 1;\n",
       "\t\t\tvar endBody = value.lastIndexOf('}');\n",
       "\t\t\tvar startArgs = value.indexOf('(') + 1;\n",
       "\t\t\tvar endArgs = value.indexOf(')');\n",
       "\n",
       "\t\t\treturn new Function(value.substring(startArgs, endArgs),\n",
       "\t\t\t\tvalue.substring(startBody, endBody));\n",
       "\t\t}\n",
       "\t\tif (check2) {\n",
       "\t\t\treturn eval(value);\n",
       "\t\t}\n",
       "\n",
       "\t}\n",
       "\n",
       "\treturn value;\n",
       "\n",
       "});\n",
       "    \n",
       "\n",
       "    var opt = $.extend(true, {}, options);\n",
       "    if (window.opts==undefined) {\n",
       "        window.opts = {};\n",
       "    }\n",
       "    window.opts['046b4ad9_5174_4671_8e60_3e53662be29e'] = opt;\n",
       "\n",
       "    console.log('Highcharts/Highstock options accessible as opts[\"046b4ad9_5174_4671_8e60_3e53662be29e\"]');\n",
       "    \n",
       "            \n",
       "            window.chart = new Highcharts.Chart(options);\n",
       "            \n",
       "    console.log('Highcharts/Highstock chart accessible as charts[\"046b4ad9_5174_4671_8e60_3e53662be29e\"]');\n",
       "    \n",
       "        });\n",
       "    });\n",
       "    </script>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g = hc.Highcharts()\n",
    "\n",
    "g.chart.type = 'bar'\n",
    "g.chart.width = 500\n",
    "g.chart.height = 500\n",
    "g.exporting = False\n",
    "gpo = g.plotOptions.pie\n",
    "gpo.showInLegend = False\n",
    "gpo.dataLabels.enabled = True\n",
    "gpo.center = ['50%', '50%']\n",
    "gpo.size = '65%'\n",
    "g.drilldown.drillUpButton.position = {'x': 0, 'y': 0}\n",
    "\n",
    "g.title.text = 'Browser Market Share'\n",
    "\n",
    "g.series, g.drilldown.series = hc.build.series_drilldown(df)\n",
    "\n",
    "g.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Pie Drilldown - 3 levels\n",
    "+ Any number of levels works"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Population</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Continent</th>\n",
       "      <th>Region</th>\n",
       "      <th>Country</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">Africa</th>\n",
       "      <th rowspan=\"5\" valign=\"top\">Central Africa</th>\n",
       "      <th>Angola</th>\n",
       "      <td>29784193.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cameroon</th>\n",
       "      <td>24053727.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Central African Republic</th>\n",
       "      <td>4659080.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chad</th>\n",
       "      <td>14899994.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Congo</th>\n",
       "      <td>5260750.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                   Population\n",
       "Continent Region         Country                             \n",
       "Africa    Central Africa Angola                    29784193.0\n",
       "                         Cameroon                  24053727.0\n",
       "                         Central African Republic   4659080.0\n",
       "                         Chad                      14899994.0\n",
       "                         Congo                      5260750.0"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = hc.sample.df_several_idx_one_col_2()\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Population</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Continent</th>\n",
       "      <th>Region</th>\n",
       "      <th>Country</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"30\" valign=\"top\">Africa</th>\n",
       "      <th rowspan=\"9\" valign=\"top\">Central Africa</th>\n",
       "      <th>Angola</th>\n",
       "      <td>29784193.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cameroon</th>\n",
       "      <td>24053727.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Central African Republic</th>\n",
       "      <td>4659080.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chad</th>\n",
       "      <td>14899994.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Congo</th>\n",
       "      <td>5260750.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Democratic Republic of the Congo</th>\n",
       "      <td>81339988.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Equatorial Guinea</th>\n",
       "      <td>1267689.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gabon</th>\n",
       "      <td>2025137.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sao Tome and Principe</th>\n",
       "      <td>204327.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"20\" valign=\"top\">Eastern Africa</th>\n",
       "      <th>Burundi</th>\n",
       "      <td>10864245.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Comoros</th>\n",
       "      <td>813912.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Djibouti</th>\n",
       "      <td>956985.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Eritrea</th>\n",
       "      <td>5068831.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ethiopia</th>\n",
       "      <td>104957438.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kenya</th>\n",
       "      <td>49699862.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Madagascar</th>\n",
       "      <td>25570895.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Malawi</th>\n",
       "      <td>18622104.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mauritius</th>\n",
       "      <td>1265138.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mayotte</th>\n",
       "      <td>253045.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mozambique</th>\n",
       "      <td>29668834.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rwanda</th>\n",
       "      <td>12208407.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Réunion</th>\n",
       "      <td>876562.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Seychelles</th>\n",
       "      <td>94737.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Somalia</th>\n",
       "      <td>14742523.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South Sudan</th>\n",
       "      <td>12575714.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tanzania</th>\n",
       "      <td>57310019.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Uganda</th>\n",
       "      <td>42862958.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zambia</th>\n",
       "      <td>17094130.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zimbabwe</th>\n",
       "      <td>16529904.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North Africa</th>\n",
       "      <th>Algeria</th>\n",
       "      <td>41318142.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"7\" valign=\"top\">Europe</th>\n",
       "      <th rowspan=\"7\" valign=\"top\">Western Europe</th>\n",
       "      <th>France</th>\n",
       "      <td>64979548.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Germany</th>\n",
       "      <td>82114224.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Liechtenstein</th>\n",
       "      <td>37922.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Luxembourg</th>\n",
       "      <td>583455.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Monaco</th>\n",
       "      <td>38695.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Netherlands</th>\n",
       "      <td>17035938.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Switzerland</th>\n",
       "      <td>8476005.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"23\" valign=\"top\">Oceanic</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">Australia and New Zealand</th>\n",
       "      <th>Australia</th>\n",
       "      <td>24450561.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New Zealand</th>\n",
       "      <td>4705818.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">Melanesia</th>\n",
       "      <th>Fiji</th>\n",
       "      <td>905502.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New Caledonia</th>\n",
       "      <td>276255.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Papua New Guinea</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Solomon Islands</th>\n",
       "      <td>611343.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vanuatu</th>\n",
       "      <td>276244.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"7\" valign=\"top\">Micronesia</th>\n",
       "      <th>Federated States of Micronesia</th>\n",
       "      <td>105544.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Guam</th>\n",
       "      <td>164229.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kiribati</th>\n",
       "      <td>116398.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Marshall Islands</th>\n",
       "      <td>53127.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nauru</th>\n",
       "      <td>11359.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Northern Mariana Islands</th>\n",
       "      <td>55144.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Palau</th>\n",
       "      <td>21729.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"9\" valign=\"top\">Polynesia</th>\n",
       "      <th>American Samoa</th>\n",
       "      <td>55641.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cook Islands</th>\n",
       "      <td>17380.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>French Polynesia</th>\n",
       "      <td>283007.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Niue</th>\n",
       "      <td>1618.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Samoa</th>\n",
       "      <td>196440.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tokelau</th>\n",
       "      <td>1300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tonga</th>\n",
       "      <td>108020.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tuvalu</th>\n",
       "      <td>11192.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wallis and Futuna</th>\n",
       "      <td>11773.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>242 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                       Population\n",
       "Continent Region                    Country                                      \n",
       "Africa    Central Africa            Angola                             29784193.0\n",
       "                                    Cameroon                           24053727.0\n",
       "                                    Central African Republic            4659080.0\n",
       "                                    Chad                               14899994.0\n",
       "                                    Congo                               5260750.0\n",
       "                                    Democratic Republic of the Congo   81339988.0\n",
       "                                    Equatorial Guinea                   1267689.0\n",
       "                                    Gabon                               2025137.0\n",
       "                                    Sao Tome and Principe                204327.0\n",
       "          Eastern Africa            Burundi                            10864245.0\n",
       "                                    Comoros                              813912.0\n",
       "                                    Djibouti                             956985.0\n",
       "                                    Eritrea                             5068831.0\n",
       "                                    Ethiopia                          104957438.0\n",
       "                                    Kenya                              49699862.0\n",
       "                                    Madagascar                         25570895.0\n",
       "                                    Malawi                             18622104.0\n",
       "                                    Mauritius                           1265138.0\n",
       "                                    Mayotte                              253045.0\n",
       "                                    Mozambique                         29668834.0\n",
       "                                    Rwanda                             12208407.0\n",
       "                                    Réunion                              876562.0\n",
       "                                    Seychelles                            94737.0\n",
       "                                    Somalia                            14742523.0\n",
       "                                    South Sudan                        12575714.0\n",
       "                                    Tanzania                           57310019.0\n",
       "                                    Uganda                             42862958.0\n",
       "                                    Zambia                             17094130.0\n",
       "                                    Zimbabwe                           16529904.0\n",
       "          North Africa              Algeria                            41318142.0\n",
       "...                                                                           ...\n",
       "Europe    Western Europe            France                             64979548.0\n",
       "                                    Germany                            82114224.0\n",
       "                                    Liechtenstein                         37922.0\n",
       "                                    Luxembourg                           583455.0\n",
       "                                    Monaco                                38695.0\n",
       "                                    Netherlands                        17035938.0\n",
       "                                    Switzerland                         8476005.0\n",
       "Oceanic   Australia and New Zealand Australia                          24450561.0\n",
       "                                    New Zealand                         4705818.0\n",
       "          Melanesia                 Fiji                                 905502.0\n",
       "                                    New Caledonia                        276255.0\n",
       "                                    Papua New Guinea                          NaN\n",
       "                                    Solomon Islands                      611343.0\n",
       "                                    Vanuatu                              276244.0\n",
       "          Micronesia                Federated States of Micronesia       105544.0\n",
       "                                    Guam                                 164229.0\n",
       "                                    Kiribati                             116398.0\n",
       "                                    Marshall Islands                      53127.0\n",
       "                                    Nauru                                 11359.0\n",
       "                                    Northern Mariana Islands              55144.0\n",
       "                                    Palau                                 21729.0\n",
       "          Polynesia                 American Samoa                        55641.0\n",
       "                                    Cook Islands                          17380.0\n",
       "                                    French Polynesia                     283007.0\n",
       "                                    Niue                                   1618.0\n",
       "                                    Samoa                                196440.0\n",
       "                                    Tokelau                                1300.0\n",
       "                                    Tonga                                108020.0\n",
       "                                    Tuvalu                                11192.0\n",
       "                                    Wallis and Futuna                     11773.0\n",
       "\n",
       "[242 rows x 1 columns]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "# g = hc.Highcharts()\n",
    "\n",
    "# g.chart.type = 'pie'\n",
    "# g.chart.width = 500\n",
    "# g.chart.height = 500\n",
    "# g.exporting = False\n",
    "# gpo = g.plotOptions.pie\n",
    "# gpo.showInLegend = False\n",
    "# gpo.dataLabels.enabled = True\n",
    "# gpo.center = ['50%', '50%']\n",
    "# gpo.size = '65%'\n",
    "# g.drilldown.drillUpButton.position = {'x': 0, 'y': 0}\n",
    "\n",
    "# g.title.text = 'World Population'\n",
    "\n",
    "# g.series, g.drilldown.series = hc.build.series_drilldown(df, top_name='World')\n",
    "\n",
    "# # g.plot(version='6.1.2')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Column Range"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Min</th>\n",
       "      <th>Max</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Month</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Jan</th>\n",
       "      <td>-9.7</td>\n",
       "      <td>9.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Feb</th>\n",
       "      <td>-8.7</td>\n",
       "      <td>6.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mar</th>\n",
       "      <td>-3.5</td>\n",
       "      <td>9.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Apr</th>\n",
       "      <td>-1.4</td>\n",
       "      <td>19.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>May</th>\n",
       "      <td>0.0</td>\n",
       "      <td>22.6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Min   Max\n",
       "Month           \n",
       "Jan   -9.7   9.4\n",
       "Feb   -8.7   6.5\n",
       "Mar   -3.5   9.4\n",
       "Apr   -1.4  19.9\n",
       "May    0.0  22.6"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = hc.sample.df_one_idx_two_col()\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<script src=\"https://cdnjs.cloudflare.com/ajax/libs/require.js/2.1.17/require.js\"></script><script src=\"https://cdnjs.cloudflare.com/ajax/libs/jquery/2.1.4/jquery.min.js\"></script><div id=\"d96d7471_5a2e_4d9a_9817_a0ef4c62e8b1container_chart\"></div><script>\n",
       "    // the Jupyter notebook loads jquery.min.js  and require.js and at the top of the page\n",
       "    // then to make jquery available inside a require module\n",
       "    // the trick is http://www.manuel-strehl.de/dev/load_jquery_before_requirejs.en.html\n",
       "    define('jquery', [], function() {\n",
       "        return jQuery;\n",
       "    });\n",
       "\n",
       "    // hardcoded var - temporary\n",
       "    require(['jquery', 'https://code.highcharts.com/stock/6.1.2/highstock.js', 'https://d3js.org/d3.v3.min.js'], function(jquery,\n",
       "                         Highcharts,\n",
       "                         d3\n",
       "                         ) {\n",
       "        // hardcoded var - temporary\n",
       "        require(['https://code.highcharts.com/stock/6.1.2/highcharts-more.js', 'https://code.highcharts.com/stock/6.1.2/modules/exporting.js', 'https://code.highcharts.com/stock/6.1.2/modules/offline-exporting.js', 'https://code.highcharts.com/stock/6.1.2/modules/export-data.js', 'https://code.highcharts.com/stock/6.1.2/modules/drilldown.js', 'https://code.highcharts.com/stock/6.1.2/modules/heatmap.js', 'https://code.highcharts.com/stock/6.1.2/modules/treemap.js', 'https://code.highcharts.com/stock/6.1.2/modules/sunburst.js', 'https://cdn.datatables.net/1.10.10/js/jquery.dataTables.min.js'], function(hcMore,\n",
       "                             exporting,\n",
       "                             offLineExporting,\n",
       "                             exportData,\n",
       "                             drilldown,\n",
       "                             heatmap,\n",
       "                             treemap,\n",
       "                             sunburst,\n",
       "                             dataTables,\n",
       "                             ) {\n",
       "            hcMore(Highcharts);\n",
       "            exporting(Highcharts);\n",
       "            offLineExporting(Highcharts);\n",
       "            exportData(Highcharts);\n",
       "            drilldown(Highcharts);\n",
       "            heatmap(Highcharts);\n",
       "            treemap(Highcharts);\n",
       "            sunburst(Highcharts);\n",
       "            \n",
       "    var options = {\"credits\":{\"enabled\":false},\"exporting\":{\"enabled\":true},\"chart\":{\"animation\":false,\"type\":\"columnrange\",\"inverted\":true,\"width\":700,\"height\":400,\"renderTo\":\"d96d7471_5a2e_4d9a_9817_a0ef4c62e8b1container_chart\"},\"series\":[{\"data\":[[-9.7,9.4],[-8.7,6.5],[-3.5,9.4],[-1.4,19.9],[0.0,22.6],[2.9,29.5],[9.2,30.7],[7.3,26.5],[4.4,18.0],[-3.1,11.4],[-5.2,10.4],[-13.5,9.8]],\"name\":\"Temperature\"}],\"plotOptions\":{\"series\":{\"animation\":false},\"line\":{\"animation\":false},\"column\":{\"animation\":false},\"bar\":{\"animation\":false},\"pie\":{\"animation\":false},\"scatter\":{\"animation\":false},\"bubble\":{\"animation\":false},\"treemap\":{\"animation\":false},\"columnrange\":{\"dataLabels\":{\"enabled\":true,\"formatter\":\"function() { return this.y + \\\"\\u00b0C\\\"; }\"}}},\"tooltip\":{\"valueSuffix\":\"\\u00b0C\"},\"xAxis\":{\"categories\":[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],\"title\":{\"text\":\"Month\"}},\"yAxis\":{\"title\":{\"text\":\"Temperature (\\u00b0C)\"}},\"title\":{\"text\":\"Temperature Variations by Month\"},\"subtitle\":{\"text\":\"Vik, Norway\"},\"legend\":{\"enabled\":false}};\n",
       "    \n",
       "options = JSON.stringify(options);\n",
       "\n",
       "options = JSON.parse(options, function (key, value) {\n",
       "\n",
       "\tif (value && (typeof value === \"string\")) {\n",
       "\n",
       "\t\t\t\tvar check1 = (value.replace(/\\s+/g, '').replace(/\\r?\\n|\\r/g, '').substr(0, 8) == \"function\"),\n",
       "\t\t\tcheck2 = (value.replace(/\\s+/g, '').replace(/\\r?\\n|\\r/g, '').substr(0, 9) == \"(function\");\n",
       "\n",
       "\n",
       "\t\tif (check1) {\n",
       "\t\t\tvar startBody = value.indexOf('{') + 1;\n",
       "\t\t\tvar endBody = value.lastIndexOf('}');\n",
       "\t\t\tvar startArgs = value.indexOf('(') + 1;\n",
       "\t\t\tvar endArgs = value.indexOf(')');\n",
       "\n",
       "\t\t\treturn new Function(value.substring(startArgs, endArgs),\n",
       "\t\t\t\tvalue.substring(startBody, endBody));\n",
       "\t\t}\n",
       "\t\tif (check2) {\n",
       "\t\t\treturn eval(value);\n",
       "\t\t}\n",
       "\n",
       "\t}\n",
       "\n",
       "\treturn value;\n",
       "\n",
       "});\n",
       "    \n",
       "\n",
       "    var opt = $.extend(true, {}, options);\n",
       "    if (window.opts==undefined) {\n",
       "        window.opts = {};\n",
       "    }\n",
       "    window.opts['d96d7471_5a2e_4d9a_9817_a0ef4c62e8b1'] = opt;\n",
       "\n",
       "    console.log('Highcharts/Highstock options accessible as opts[\"d96d7471_5a2e_4d9a_9817_a0ef4c62e8b1\"]');\n",
       "    \n",
       "            \n",
       "            window.chart = new Highcharts.Chart(options);\n",
       "            \n",
       "    console.log('Highcharts/Highstock chart accessible as charts[\"d96d7471_5a2e_4d9a_9817_a0ef4c62e8b1\"]');\n",
       "    \n",
       "        });\n",
       "    });\n",
       "    </script>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g = hc.Highcharts()\n",
    "g.chart.type = 'columnrange'\n",
    "g.chart.inverted = True\n",
    "g.chart.width = 700\n",
    "g.chart.height = 400\n",
    "gpo = g.plotOptions.columnrange\n",
    "gpo.dataLabels.enabled = True\n",
    "gpo.dataLabels.formatter = 'function() { return this.y + \"°C\"; }'\n",
    "g.tooltip.valueSuffix = '°C'\n",
    "g.xAxis.categories, g.series = hc.build.series_range(df)\n",
    "g.series[0]['name'] = 'Temperature'\n",
    "g.yAxis.title.text = 'Temperature (°C)'\n",
    "g.xAxis.title.text = 'Month'\n",
    "g.title.text = 'Temperature Variations by Month'\n",
    "g.subtitle.text = 'Vik, Norway'\n",
    "\n",
    "g.legend.enabled = False\n",
    "\n",
    "g.plot(save=True, save_name='index', version='6.1.2', dated=False, notebook=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Scatter - 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Sex</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Height</th>\n",
       "      <th>Weight</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>161.2</th>\n",
       "      <th>51.6</th>\n",
       "      <td>Female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167.5</th>\n",
       "      <th>59.0</th>\n",
       "      <td>Female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159.5</th>\n",
       "      <th>49.2</th>\n",
       "      <td>Female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157.0</th>\n",
       "      <th>63.0</th>\n",
       "      <td>Female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155.8</th>\n",
       "      <th>53.6</th>\n",
       "      <td>Female</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Sex\n",
       "Height Weight        \n",
       "161.2  51.6    Female\n",
       "167.5  59.0    Female\n",
       "159.5  49.2    Female\n",
       "157.0  63.0    Female\n",
       "155.8  53.6    Female"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = hc.sample.df_scatter()\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div id=\"48cb23ae_7d1c_428a_a913_1da92c3c72adcontainer_chart\"></div><script>\n",
       "    // the Jupyter notebook loads jquery.min.js  and require.js and at the top of the page\n",
       "    // then to make jquery available inside a require module\n",
       "    // the trick is http://www.manuel-strehl.de/dev/load_jquery_before_requirejs.en.html\n",
       "    define('jquery', [], function() {\n",
       "        return jQuery;\n",
       "    });\n",
       "\n",
       "    // hardcoded var - temporary\n",
       "    require(['jquery', 'https://code.highcharts.com/stock/6.1.2/highstock.js', 'https://d3js.org/d3.v3.min.js'], function(jquery,\n",
       "                         Highcharts,\n",
       "                         d3\n",
       "                         ) {\n",
       "        // hardcoded var - temporary\n",
       "        require(['https://code.highcharts.com/stock/6.1.2/highcharts-more.js', 'https://code.highcharts.com/stock/6.1.2/modules/exporting.js', 'https://code.highcharts.com/stock/6.1.2/modules/offline-exporting.js', 'https://code.highcharts.com/stock/6.1.2/modules/export-data.js', 'https://code.highcharts.com/stock/6.1.2/modules/drilldown.js', 'https://code.highcharts.com/stock/6.1.2/modules/heatmap.js', 'https://code.highcharts.com/stock/6.1.2/modules/treemap.js', 'https://code.highcharts.com/stock/6.1.2/modules/sunburst.js', 'https://cdn.datatables.net/1.10.10/js/jquery.dataTables.min.js'], function(hcMore,\n",
       "                             exporting,\n",
       "                             offLineExporting,\n",
       "                             exportData,\n",
       "                             drilldown,\n",
       "                             heatmap,\n",
       "                             treemap,\n",
       "                             sunburst,\n",
       "                             dataTables,\n",
       "                             ) {\n",
       "            hcMore(Highcharts);\n",
       "            exporting(Highcharts);\n",
       "            offLineExporting(Highcharts);\n",
       "            exportData(Highcharts);\n",
       "            drilldown(Highcharts);\n",
       "            heatmap(Highcharts);\n",
       "            treemap(Highcharts);\n",
       "            sunburst(Highcharts);\n",
       "            \n",
       "    var options = {\"credits\":{\"enabled\":false},\"exporting\":false,\"chart\":{\"animation\":false,\"type\":\"scatter\",\"width\":700,\"height\":500,\"zoomType\":\"xy\",\"renderTo\":\"48cb23ae_7d1c_428a_a913_1da92c3c72adcontainer_chart\"},\"series\":[{\"animation\":false,\"name\":\"Male\",\"turboThreshold\":0,\"color\":\"rgba(119, 152, 191, 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{series.name}<\\/b><br>\",\"pointFormat\":\"{point.x} cm, {point.y} kg\"},\"legend\":{\"layout\":\"vertical\",\"align\":\"left\",\"verticalAlign\":\"top\",\"x\":100,\"y\":70,\"floating\":true,\"borderWidth\":1},\"xAxis\":{\"title\":{\"text\":\"Height (cm)\"}},\"yAxis\":{\"title\":{\"text\":\"Weight (kg)\"}},\"title\":{\"text\":\"Height Versus Weight of 507 Individuals by Gender\"},\"subtitle\":{\"text\":\"Source: Heinz 2003\"}};\n",
       "    \n",
       "options = JSON.stringify(options);\n",
       "\n",
       "options = JSON.parse(options, function (key, value) {\n",
       "\n",
       "\tif (value && (typeof value === \"string\")) {\n",
       "\n",
       "\t\t\t\tvar check1 = (value.replace(/\\s+/g, '').replace(/\\r?\\n|\\r/g, '').substr(0, 8) == \"function\"),\n",
       "\t\t\tcheck2 = (value.replace(/\\s+/g, '').replace(/\\r?\\n|\\r/g, '').substr(0, 9) == \"(function\");\n",
       "\n",
       "\n",
       "\t\tif (check1) {\n",
       "\t\t\tvar startBody = value.indexOf('{') + 1;\n",
       "\t\t\tvar endBody = value.lastIndexOf('}');\n",
       "\t\t\tvar startArgs = value.indexOf('(') + 1;\n",
       "\t\t\tvar endArgs = value.indexOf(')');\n",
       "\n",
       "\t\t\treturn new Function(value.substring(startArgs, endArgs),\n",
       "\t\t\t\tvalue.substring(startBody, endBody));\n",
       "\t\t}\n",
       "\t\tif (check2) {\n",
       "\t\t\treturn eval(value);\n",
       "\t\t}\n",
       "\n",
       "\t}\n",
       "\n",
       "\treturn value;\n",
       "\n",
       "});\n",
       "    \n",
       "\n",
       "    var opt = $.extend(true, {}, options);\n",
       "    if (window.opts==undefined) {\n",
       "        window.opts = {};\n",
       "    }\n",
       "    window.opts['48cb23ae_7d1c_428a_a913_1da92c3c72ad'] = opt;\n",
       "\n",
       "    console.log('Highcharts/Highstock options accessible as opts[\"48cb23ae_7d1c_428a_a913_1da92c3c72ad\"]');\n",
       "    \n",
       "            \n",
       "            window.chart = new Highcharts.Chart(options);\n",
       "            \n",
       "    console.log('Highcharts/Highstock chart accessible as charts[\"48cb23ae_7d1c_428a_a913_1da92c3c72ad\"]');\n",
       "    \n",
       "        });\n",
       "    });\n",
       "    </script>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g = hc.Highcharts()\n",
    "g.chart.type = 'scatter'\n",
    "g.chart.width = 700\n",
    "g.chart.height = 500\n",
    "g.chart.zoomType = 'xy'\n",
    "g.exporting = False\n",
    "\n",
    "g.plotOptions.scatter.marker.radius = 5\n",
    "\n",
    "g.tooltip.headerFormat = '<b>Sex: {series.name}</b><br>'\n",
    "g.tooltip.pointFormat = '{point.x} cm, {point.y} kg'\n",
    "\n",
    "g.legend.layout = 'vertical'\n",
    "g.legend.align = 'left'\n",
    "g.legend.verticalAlign = 'top'\n",
    "g.legend.x = 100\n",
    "g.legend.y = 70\n",
    "g.legend.floating = True\n",
    "g.legend.borderWidth = 1\n",
    "                \n",
    "g.xAxis.title.text = 'Height (cm)'\n",
    "g.yAxis.title.text = 'Weight (kg)'\n",
    "g.title.text = 'Height Versus Weight of 507 Individuals by Gender'\n",
    "g.subtitle.text = 'Source: Heinz 2003'\n",
    "                \n",
    "g.series = hc.build.series_scatter(df, color_column='Sex',\n",
    "                                   color={'Female': 'rgba(223, 83, 83, .5)',\n",
    "                                          'Male': 'rgba(119, 152, 191, .5)'})\n",
    "g.plot(version='6.1.2')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Scatter - 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Sex</th>\n",
       "      <th>Tag</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Height</th>\n",
       "      <th>Weight</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>161.2</th>\n",
       "      <th>51.6</th>\n",
       "      <td>Female</td>\n",
       "      <td>18990</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167.5</th>\n",
       "      <th>59.0</th>\n",
       "      <td>Female</td>\n",
       "      <td>57774</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159.5</th>\n",
       "      <th>49.2</th>\n",
       "      <td>Female</td>\n",
       "      <td>10695</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157.0</th>\n",
       "      <th>63.0</th>\n",
       "      <td>Female</td>\n",
       "      <td>1706</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155.8</th>\n",
       "      <th>53.6</th>\n",
       "      <td>Female</td>\n",
       "      <td>64970</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Sex    Tag\n",
       "Height Weight               \n",
       "161.2  51.6    Female  18990\n",
       "167.5  59.0    Female  57774\n",
       "159.5  49.2    Female  10695\n",
       "157.0  63.0    Female   1706\n",
       "155.8  53.6    Female  64970"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = hc.sample.df_scatter()\n",
    "df['Tag'] = np.random.choice(range(int(1e5)), size=len(df), replace=False)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div id=\"38f00142_d6ba_4852_a0ee_a27cb8d9b4b3container_chart\"></div><script>\n",
       "    // the Jupyter notebook loads jquery.min.js  and require.js and at the top of the page\n",
       "    // then to make jquery available inside a require module\n",
       "    // the trick is http://www.manuel-strehl.de/dev/load_jquery_before_requirejs.en.html\n",
       "    define('jquery', [], function() {\n",
       "        return jQuery;\n",
       "    });\n",
       "\n",
       "    // hardcoded var - temporary\n",
       "    require(['jquery', 'https://code.highcharts.com/stock/6.1.2/highstock.js', 'https://d3js.org/d3.v3.min.js'], function(jquery,\n",
       "                         Highcharts,\n",
       "                         d3\n",
       "                         ) {\n",
       "        // hardcoded var - temporary\n",
       "        require(['https://code.highcharts.com/stock/6.1.2/highcharts-more.js', 'https://code.highcharts.com/stock/6.1.2/modules/exporting.js', 'https://code.highcharts.com/stock/6.1.2/modules/offline-exporting.js', 'https://code.highcharts.com/stock/6.1.2/modules/export-data.js', 'https://code.highcharts.com/stock/6.1.2/modules/drilldown.js', 'https://code.highcharts.com/stock/6.1.2/modules/heatmap.js', 'https://code.highcharts.com/stock/6.1.2/modules/treemap.js', 'https://code.highcharts.com/stock/6.1.2/modules/sunburst.js', 'https://cdn.datatables.net/1.10.10/js/jquery.dataTables.min.js'], function(hcMore,\n",
       "                             exporting,\n",
       "                             offLineExporting,\n",
       "                             exportData,\n",
       "                             drilldown,\n",
       "                             heatmap,\n",
       "                             treemap,\n",
       "                             sunburst,\n",
       "                             dataTables,\n",
       "                             ) {\n",
       "            hcMore(Highcharts);\n",
       "            exporting(Highcharts);\n",
       "            offLineExporting(Highcharts);\n",
       "            exportData(Highcharts);\n",
       "            drilldown(Highcharts);\n",
       "            heatmap(Highcharts);\n",
       "            treemap(Highcharts);\n",
       "            sunburst(Highcharts);\n",
       "            \n",
       "    var options = {\"credits\":{\"enabled\":false},\"exporting\":false,\"chart\":{\"animation\":false,\"type\":\"scatter\",\"width\":700,\"height\":500,\"zoomType\":\"xy\",\"renderTo\":\"38f00142_d6ba_4852_a0ee_a27cb8d9b4b3container_chart\"},\"series\":[{\"animation\":false,\"name\":\"Male\",\"turboThreshold\":0,\"color\":\"rgba(119, 152, 191, 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{series.name}<\\/b><br><b>Tag: {point.key}<\\/b><br>\",\"pointFormat\":\"{point.x} cm, {point.y} kg\"},\"legend\":{\"layout\":\"vertical\",\"align\":\"left\",\"verticalAlign\":\"top\",\"x\":100,\"y\":70,\"floating\":true,\"borderWidth\":1},\"xAxis\":{\"title\":{\"text\":\"Height (cm)\"}},\"yAxis\":{\"title\":{\"text\":\"Weight (kg)\"}},\"title\":{\"text\":\"Height Versus Weight of 507 Individuals by Gender\"},\"subtitle\":{\"text\":\"Source: Heinz 2003\"}};\n",
       "    \n",
       "options = JSON.stringify(options);\n",
       "\n",
       "options = JSON.parse(options, function (key, value) {\n",
       "\n",
       "\tif (value && (typeof value === \"string\")) {\n",
       "\n",
       "\t\t\t\tvar check1 = (value.replace(/\\s+/g, '').replace(/\\r?\\n|\\r/g, '').substr(0, 8) == \"function\"),\n",
       "\t\t\tcheck2 = (value.replace(/\\s+/g, '').replace(/\\r?\\n|\\r/g, '').substr(0, 9) == \"(function\");\n",
       "\n",
       "\n",
       "\t\tif (check1) {\n",
       "\t\t\tvar startBody = value.indexOf('{') + 1;\n",
       "\t\t\tvar endBody = value.lastIndexOf('}');\n",
       "\t\t\tvar startArgs = value.indexOf('(') + 1;\n",
       "\t\t\tvar endArgs = value.indexOf(')');\n",
       "\n",
       "\t\t\treturn new Function(value.substring(startArgs, endArgs),\n",
       "\t\t\t\tvalue.substring(startBody, endBody));\n",
       "\t\t}\n",
       "\t\tif (check2) {\n",
       "\t\t\treturn eval(value);\n",
       "\t\t}\n",
       "\n",
       "\t}\n",
       "\n",
       "\treturn value;\n",
       "\n",
       "});\n",
       "    \n",
       "\n",
       "    var opt = $.extend(true, {}, options);\n",
       "    if (window.opts==undefined) {\n",
       "        window.opts = {};\n",
       "    }\n",
       "    window.opts['38f00142_d6ba_4852_a0ee_a27cb8d9b4b3'] = opt;\n",
       "\n",
       "    console.log('Highcharts/Highstock options accessible as opts[\"38f00142_d6ba_4852_a0ee_a27cb8d9b4b3\"]');\n",
       "    \n",
       "            \n",
       "            window.chart = new Highcharts.Chart(options);\n",
       "            \n",
       "    console.log('Highcharts/Highstock chart accessible as charts[\"38f00142_d6ba_4852_a0ee_a27cb8d9b4b3\"]');\n",
       "    \n",
       "        });\n",
       "    });\n",
       "    </script>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g = hc.Highcharts()\n",
    "g.chart.type = 'scatter'\n",
    "g.chart.width = 700\n",
    "g.chart.height = 500\n",
    "g.chart.zoomType = 'xy'\n",
    "g.exporting = False\n",
    "\n",
    "g.plotOptions.scatter.marker.radius = 5\n",
    "\n",
    "g.tooltip.headerFormat = '<b>Sex: {series.name}</b><br><b>Tag: {point.key}</b><br>'\n",
    "g.tooltip.pointFormat = '{point.x} cm, {point.y} kg'\n",
    "\n",
    "g.legend.layout = 'vertical'\n",
    "g.legend.align = 'left'\n",
    "g.legend.verticalAlign = 'top'\n",
    "g.legend.x = 100\n",
    "g.legend.y = 70\n",
    "g.legend.floating = True\n",
    "g.legend.borderWidth = 1\n",
    "                \n",
    "g.xAxis.title.text = 'Height (cm)'\n",
    "g.yAxis.title.text = 'Weight (kg)'\n",
    "g.title.text = 'Height Versus Weight of 507 Individuals by Gender'\n",
    "g.subtitle.text = 'Source: Heinz 2003'\n",
    "                \n",
    "g.series = hc.build.series_scatter(df, color_column='Sex', title_column='Tag',\n",
    "                                   color={'Female': 'rgba(223, 83, 83, .5)',\n",
    "                                          'Male': 'rgba(119, 152, 191, .5)'})\n",
    "g.plot(version='6.1.2')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Bubble"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Size</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cat</th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">Cat1</th>\n",
       "      <th>97</th>\n",
       "      <th>36</th>\n",
       "      <td>79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <th>74</th>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <th>76</th>\n",
       "      <td>58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <th>87</th>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <th>27</th>\n",
       "      <td>73</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Size\n",
       "Cat  x  y       \n",
       "Cat1 97 36    79\n",
       "     94 74    60\n",
       "     68 76    58\n",
       "     64 87    56\n",
       "     68 27    73"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = hc.sample.df_bubble()\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div id=\"fc7490b0_0b4c_4587_8e2e_27c456f28cffcontainer_chart\"></div><script>\n",
       "    // the Jupyter notebook loads jquery.min.js  and require.js and at the top of the page\n",
       "    // then to make jquery available inside a require module\n",
       "    // the trick is http://www.manuel-strehl.de/dev/load_jquery_before_requirejs.en.html\n",
       "    define('jquery', [], function() {\n",
       "        return jQuery;\n",
       "    });\n",
       "\n",
       "    // hardcoded var - temporary\n",
       "    require(['jquery', 'https://code.highcharts.com/stock/6.1.2/highstock.js', 'https://d3js.org/d3.v3.min.js'], function(jquery,\n",
       "                         Highcharts,\n",
       "                         d3\n",
       "                         ) {\n",
       "        // hardcoded var - temporary\n",
       "        require(['https://code.highcharts.com/stock/6.1.2/highcharts-more.js', 'https://code.highcharts.com/stock/6.1.2/modules/exporting.js', 'https://code.highcharts.com/stock/6.1.2/modules/offline-exporting.js', 'https://code.highcharts.com/stock/6.1.2/modules/export-data.js', 'https://code.highcharts.com/stock/6.1.2/modules/drilldown.js', 'https://code.highcharts.com/stock/6.1.2/modules/heatmap.js', 'https://code.highcharts.com/stock/6.1.2/modules/treemap.js', 'https://code.highcharts.com/stock/6.1.2/modules/sunburst.js', 'https://cdn.datatables.net/1.10.10/js/jquery.dataTables.min.js'], function(hcMore,\n",
       "                             exporting,\n",
       "                             offLineExporting,\n",
       "                             exportData,\n",
       "                             drilldown,\n",
       "                             heatmap,\n",
       "                             treemap,\n",
       "                             sunburst,\n",
       "                             dataTables,\n",
       "                             ) {\n",
       "            hcMore(Highcharts);\n",
       "            exporting(Highcharts);\n",
       "            offLineExporting(Highcharts);\n",
       "            exportData(Highcharts);\n",
       "            drilldown(Highcharts);\n",
       "            heatmap(Highcharts);\n",
       "            treemap(Highcharts);\n",
       "            sunburst(Highcharts);\n",
       "            \n",
       "    var options = {\"credits\":{\"enabled\":false},\"exporting\":{\"enabled\":true},\"chart\":{\"animation\":false,\"type\":\"bubble\",\"width\":700,\"height\":500,\"zoomType\":\"xy\",\"renderTo\":\"fc7490b0_0b4c_4587_8e2e_27c456f28cffcontainer_chart\"},\"series\":[{\"name\":\"Cat1\",\"data\":[[97,36,79],[94,74,60],[68,76,58],[64,87,56],[68,27,73],[74,99,42],[7,93,87],[51,69,40],[38,23,33],[57,86,31]]},{\"name\":\"Cat2\",\"data\":[[25,10,87],[2,75,59],[11,54,8],[86,55,93],[5,3,58],[90,63,44],[91,33,17],[97,3,56],[15,67,48],[54,25,81]]},{\"name\":\"Cat3\",\"data\":[[47,47,21],[20,12,4],[6,76,91],[38,30,60],[57,98,64],[61,17,80],[83,60,13],[67,78,75],[64,12,10],[30,77,82]]}],\"plotOptions\":{\"series\":{\"animation\":false},\"line\":{\"animation\":false},\"column\":{\"animation\":false},\"bar\":{\"animation\":false},\"pie\":{\"animation\":false},\"scatter\":{\"animation\":false},\"bubble\":{\"animation\":false,\"minSize\":20,\"maxSize\":60},\"treemap\":{\"animation\":false}},\"legend\":{\"enabled\":true},\"title\":{\"text\":\"Bubbles\"}};\n",
       "    \n",
       "options = JSON.stringify(options);\n",
       "\n",
       "options = JSON.parse(options, function (key, value) {\n",
       "\n",
       "\tif (value && (typeof value === \"string\")) {\n",
       "\n",
       "\t\t\t\tvar check1 = (value.replace(/\\s+/g, '').replace(/\\r?\\n|\\r/g, '').substr(0, 8) == \"function\"),\n",
       "\t\t\tcheck2 = (value.replace(/\\s+/g, '').replace(/\\r?\\n|\\r/g, '').substr(0, 9) == \"(function\");\n",
       "\n",
       "\n",
       "\t\tif (check1) {\n",
       "\t\t\tvar startBody = value.indexOf('{') + 1;\n",
       "\t\t\tvar endBody = value.lastIndexOf('}');\n",
       "\t\t\tvar startArgs = value.indexOf('(') + 1;\n",
       "\t\t\tvar endArgs = value.indexOf(')');\n",
       "\n",
       "\t\t\treturn new Function(value.substring(startArgs, endArgs),\n",
       "\t\t\t\tvalue.substring(startBody, endBody));\n",
       "\t\t}\n",
       "\t\tif (check2) {\n",
       "\t\t\treturn eval(value);\n",
       "\t\t}\n",
       "\n",
       "\t}\n",
       "\n",
       "\treturn value;\n",
       "\n",
       "});\n",
       "    \n",
       "\n",
       "    var opt = $.extend(true, {}, options);\n",
       "    if (window.opts==undefined) {\n",
       "        window.opts = {};\n",
       "    }\n",
       "    window.opts['fc7490b0_0b4c_4587_8e2e_27c456f28cff'] = opt;\n",
       "\n",
       "    console.log('Highcharts/Highstock options accessible as opts[\"fc7490b0_0b4c_4587_8e2e_27c456f28cff\"]');\n",
       "    \n",
       "            \n",
       "            window.chart = new Highcharts.Chart(options);\n",
       "            \n",
       "    console.log('Highcharts/Highstock chart accessible as charts[\"fc7490b0_0b4c_4587_8e2e_27c456f28cff\"]');\n",
       "    \n",
       "        });\n",
       "    });\n",
       "    </script>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g = hc.Highcharts()\n",
    "g.chart.type = 'bubble'\n",
    "g.chart.width = 700\n",
    "g.chart.height = 500\n",
    "g.chart.zoomType = 'xy'\n",
    "g.plotOptions.bubble.minSize = 20\n",
    "g.plotOptions.bubble.maxSize = 60\n",
    "g.legend.enabled = True\n",
    "g.title.text = 'Bubbles'\n",
    "\n",
    "g.series = hc.build.series_bubble(df, color={'A': 'rgba(223, 83, 83, .5)', 'B': 'rgba(119, 152, 191, .5)'})\n",
    "\n",
    "g.plot(version='6.1.2')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Treemap\n",
    "+ Building the points datastructure cannot be wrapped without losing flexibility\n",
    "+ Example (data and points datastructure taken from http://jsfiddle.net/gh/get/jquery/1.9.1/highslide-software/highcharts.com/tree/master/samples/highcharts/demo/treemap-large-dataset/\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Value</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Region</th>\n",
       "      <th>Country</th>\n",
       "      <th>Cause</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">Africa</th>\n",
       "      <th rowspan=\"3\" valign=\"top\">Algeria</th>\n",
       "      <th>Communicable diseases</th>\n",
       "      <td>97.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Injuries</th>\n",
       "      <td>53.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Noncommunicable diseases</th>\n",
       "      <td>710.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Angola</th>\n",
       "      <th>Communicable diseases</th>\n",
       "      <td>873.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Injuries</th>\n",
       "      <td>137.8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                         Value\n",
       "Region Country Cause                          \n",
       "Africa Algeria Communicable diseases      97.8\n",
       "               Injuries                   53.8\n",
       "               Noncommunicable diseases  710.4\n",
       "       Angola  Communicable diseases     873.3\n",
       "               Injuries                  137.8"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = hc.sample.df_several_idx_one_col()\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'name': 'Communicable diseases',\n",
       "  'value': 97.8,\n",
       "  'id': '0.0.0.0',\n",
       "  'parent': '0.0.0'},\n",
       " {'name': 'Injuries', 'value': 53.8, 'id': '0.0.0.1', 'parent': '0.0.0'},\n",
       " {'name': 'Noncommunicable diseases',\n",
       "  'value': 710.4,\n",
       "  'id': '0.0.0.2',\n",
       "  'parent': '0.0.0'},\n",
       " {'name': 'Algeria', 'id': '0.0.0', 'parent': '0.0', 'value': 862.0},\n",
       " {'name': 'Communicable diseases',\n",
       "  'value': 873.3,\n",
       "  'id': '0.0.1.0',\n",
       "  'parent': '0.0.1'}]"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "colors = ['#7cb5ec', '#434348', '#90ed7d', '#f7a35c', '#8085e9',\n",
    "          '#f15c80', '#e4d354', '#2b908f', '#f45b5b', '#91e8e1']\n",
    "\n",
    "points = hc.build.series_tree(df, set_color=True, colors=colors, set_value=True, precision=2)\n",
    "points[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div id=\"61cdbc2c_5256_4edb_a0c0_f76c3a29a562container_chart\"></div><script>\n",
       "    // the Jupyter notebook loads jquery.min.js  and require.js and at the top of the page\n",
       "    // then to make jquery available inside a require module\n",
       "    // the trick is http://www.manuel-strehl.de/dev/load_jquery_before_requirejs.en.html\n",
       "    define('jquery', [], function() {\n",
       "        return jQuery;\n",
       "    });\n",
       "\n",
       "    // hardcoded var - temporary\n",
       "    require(['jquery', 'https://code.highcharts.com/stock/6.1.2/highstock.js', 'https://d3js.org/d3.v3.min.js'], function(jquery,\n",
       "                         Highcharts,\n",
       "                         d3\n",
       "                         ) {\n",
       "        // hardcoded var - temporary\n",
       "        require(['https://code.highcharts.com/stock/6.1.2/highcharts-more.js', 'https://code.highcharts.com/stock/6.1.2/modules/exporting.js', 'https://code.highcharts.com/stock/6.1.2/modules/offline-exporting.js', 'https://code.highcharts.com/stock/6.1.2/modules/export-data.js', 'https://code.highcharts.com/stock/6.1.2/modules/drilldown.js', 'https://code.highcharts.com/stock/6.1.2/modules/heatmap.js', 'https://code.highcharts.com/stock/6.1.2/modules/treemap.js', 'https://code.highcharts.com/stock/6.1.2/modules/sunburst.js', 'https://cdn.datatables.net/1.10.10/js/jquery.dataTables.min.js'], function(hcMore,\n",
       "                             exporting,\n",
       "                             offLineExporting,\n",
       "                             exportData,\n",
       "                             drilldown,\n",
       "                             heatmap,\n",
       "                             treemap,\n",
       "                             sunburst,\n",
       "                             dataTables,\n",
       "                             ) {\n",
       "            hcMore(Highcharts);\n",
       "            exporting(Highcharts);\n",
       "            offLineExporting(Highcharts);\n",
       "            exportData(Highcharts);\n",
       "            drilldown(Highcharts);\n",
       "            heatmap(Highcharts);\n",
       "            treemap(Highcharts);\n",
       "            sunburst(Highcharts);\n",
       "            \n",
       "    var options = {\"credits\":{\"enabled\":false},\"exporting\":false,\"chart\":{\"animation\":false,\"type\":\"treemap\",\"width\":900,\"height\":600,\"renderTo\":\"61cdbc2c_5256_4edb_a0c0_f76c3a29a562container_chart\"},\"series\":[{\"type\":\"treemap\",\"layoutAlgorithm\":\"squarified\",\"allowDrillToNode\":true,\"dataLabels\":{\"enabled\":false},\"levelIsConstant\":false,\"levels\":[{\"level\":1,\"dataLabels\":{\"enabled\":true},\"borderWidth\":3}],\"data\":[{\"name\":\"Communicable diseases\",\"value\":97.8,\"id\":\"0.0.0.0\",\"parent\":\"0.0.0\"},{\"name\":\"Injuries\",\"value\":53.8,\"id\":\"0.0.0.1\",\"parent\":\"0.0.0\"},{\"name\":\"Noncommunicable diseases\",\"value\":710.4,\"id\":\"0.0.0.2\",\"parent\":\"0.0.0\"},{\"name\":\"Algeria\",\"id\":\"0.0.0\",\"parent\":\"0.0\",\"value\":862.0},{\"name\":\"Communicable diseases\",\"value\":873.3,\"id\":\"0.0.1.0\",\"parent\":\"0.0.1\"},{\"name\":\"Injuries\",\"value\":137.8,\"id\":\"0.0.1.1\",\"parent\":\"0.0.1\"},{\"name\":\"Noncommunicable diseases\",\"value\":768.4,\"id\":\"0.0.1.2\",\"parent\":\"0.0.1\"},{\"name\":\"Angola\",\"id\":\"0.0.1\",\"parent\":\"0.0\",\"value\":1779.5},{\"name\":\"Communicable diseases\",\"value\":577.3,\"id\":\"0.0.2.0\",\"parent\":\"0.0.2\"},{\"name\":\"Injuries\",\"value\":98.0,\"id\":\"0.0.2.1\",\"parent\":\"0.0.2\"},{\"name\":\"Noncommunicable diseases\",\"value\":761.5,\"id\":\"0.0.2.2\",\"parent\":\"0.0.2\"},{\"name\":\"Benin\",\"id\":\"0.0.2\",\"parent\":\"0.0\",\"value\":1436.8},{\"name\":\"Communicable diseases\",\"value\":555.3,\"id\":\"0.0.3.0\",\"parent\":\"0.0.3\"},{\"name\":\"Injuries\",\"value\":87.9,\"id\":\"0.0.3.1\",\"parent\":\"0.0.3\"},{\"name\":\"Noncommunicable diseases\",\"value\":612.2,\"id\":\"0.0.3.2\",\"parent\":\"0.0.3\"},{\"name\":\"Botswana\",\"id\":\"0.0.3\",\"parent\":\"0.0\",\"value\":1255.4},{\"name\":\"Communicable diseases\",\"value\":648.2,\"id\":\"0.0.4.0\",\"parent\":\"0.0.4\"},{\"name\":\"Injuries\",\"value\":119.3,\"id\":\"0.0.4.1\",\"parent\":\"0.0.4\"},{\"name\":\"Noncommunicable diseases\",\"value\":784.0,\"id\":\"0.0.4.2\",\"parent\":\"0.0.4\"},{\"name\":\"Burkina Faso\",\"id\":\"0.0.4\",\"parent\":\"0.0\",\"value\":1551.5},{\"name\":\"Communicable diseases\",\"value\":704.8,\"id\":\"0.0.5.0\",\"parent\":\"0.0.5\"},{\"name\":\"Injuries\",\"value\":146.6,\"id\":\"0.0.5.1\",\"parent\":\"0.0.5\"},{\"name\":\"Noncommunicable diseases\",\"value\":729.5,\"id\":\"0.0.5.2\",\"parent\":\"0.0.5\"},{\"name\":\"Burundi\",\"id\":\"0.0.5\",\"parent\":\"0.0\",\"value\":1580.9},{\"name\":\"Communicable diseases\",\"value\":861.3,\"id\":\"0.0.6.0\",\"parent\":\"0.0.6\"},{\"name\":\"Injuries\",\"value\":124.0,\"id\":\"0.0.6.1\",\"parent\":\"0.0.6\"},{\"name\":\"Noncommunicable diseases\",\"value\":794.0,\"id\":\"0.0.6.2\",\"parent\":\"0.0.6\"},{\"name\":\"C\\\\u00f4te d'Ivoire\",\"id\":\"0.0.6\",\"parent\":\"0.0\",\"value\":1779.3},{\"name\":\"Communicable diseases\",\"value\":141.9,\"id\":\"0.0.7.0\",\"parent\":\"0.0.7\"},{\"name\":\"Injuries\",\"value\":54.4,\"id\":\"0.0.7.1\",\"parent\":\"0.0.7\"},{\"name\":\"Noncommunicable diseases\",\"value\":482.1,\"id\":\"0.0.7.2\",\"parent\":\"0.0.7\"},{\"name\":\"Cabo Verde\",\"id\":\"0.0.7\",\"parent\":\"0.0\",\"value\":678.4},{\"name\":\"Communicable diseases\",\"value\":768.8,\"id\":\"0.0.8.0\",\"parent\":\"0.0.8\"},{\"name\":\"Injuries\",\"value\":106.0,\"id\":\"0.0.8.1\",\"parent\":\"0.0.8\"},{\"name\":\"Noncommunicable 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Lanka\",\"id\":\"0.4.8\",\"parent\":\"0.4\",\"value\":665.7},{\"name\":\"Communicable diseases\",\"value\":123.3,\"id\":\"0.4.9.0\",\"parent\":\"0.4.9\"},{\"name\":\"Injuries\",\"value\":72.8,\"id\":\"0.4.9.1\",\"parent\":\"0.4.9\"},{\"name\":\"Noncommunicable diseases\",\"value\":449.1,\"id\":\"0.4.9.2\",\"parent\":\"0.4.9\"},{\"name\":\"Thailand\",\"id\":\"0.4.9\",\"parent\":\"0.4\",\"value\":645.2},{\"name\":\"Communicable diseases\",\"value\":343.5,\"id\":\"0.4.10.0\",\"parent\":\"0.4.10\"},{\"name\":\"Injuries\",\"value\":69.2,\"id\":\"0.4.10.1\",\"parent\":\"0.4.10\"},{\"name\":\"Noncommunicable diseases\",\"value\":670.5,\"id\":\"0.4.10.2\",\"parent\":\"0.4.10\"},{\"name\":\"Timor-Leste\",\"id\":\"0.4.10\",\"parent\":\"0.4\",\"value\":1083.2},{\"name\":\"South-East Asia\",\"id\":\"0.4\",\"color\":\"#8085e9\",\"value\":9774.2},{\"name\":\"Communicable diseases\",\"value\":13.7,\"id\":\"0.5.0.0\",\"parent\":\"0.5.0\"},{\"name\":\"Injuries\",\"value\":28.2,\"id\":\"0.5.0.1\",\"parent\":\"0.5.0\"},{\"name\":\"Noncommunicable diseases\",\"value\":302.9,\"id\":\"0.5.0.2\",\"parent\":\"0.5.0\"},{\"name\":\"Australia\",\"id\":\"0.5.0\",\"parent\":\"0.5\",\"value\":344.8},{\"name\":\"Communicable diseases\",\"value\":56.1,\"id\":\"0.5.1.0\",\"parent\":\"0.5.1\"},{\"name\":\"Injuries\",\"value\":44.6,\"id\":\"0.5.1.1\",\"parent\":\"0.5.1\"},{\"name\":\"Noncommunicable diseases\",\"value\":475.3,\"id\":\"0.5.1.2\",\"parent\":\"0.5.1\"},{\"name\":\"Brunei Darussalam\",\"id\":\"0.5.1\",\"parent\":\"0.5\",\"value\":576.0},{\"name\":\"Communicable diseases\",\"value\":227.5,\"id\":\"0.5.2.0\",\"parent\":\"0.5.2\"},{\"name\":\"Injuries\",\"value\":62.2,\"id\":\"0.5.2.1\",\"parent\":\"0.5.2\"},{\"name\":\"Noncommunicable diseases\",\"value\":394.0,\"id\":\"0.5.2.2\",\"parent\":\"0.5.2\"},{\"name\":\"Cambodia\",\"id\":\"0.5.2\",\"parent\":\"0.5\",\"value\":683.7},{\"name\":\"Communicable diseases\",\"value\":41.4,\"id\":\"0.5.3.0\",\"parent\":\"0.5.3\"},{\"name\":\"Injuries\",\"value\":50.4,\"id\":\"0.5.3.1\",\"parent\":\"0.5.3\"},{\"name\":\"Noncommunicable diseases\",\"value\":576.3,\"id\":\"0.5.3.2\",\"parent\":\"0.5.3\"},{\"name\":\"China\",\"id\":\"0.5.3\",\"parent\":\"0.5\",\"value\":668.1},{\"name\":\"Communicable diseases\",\"value\":105.2,\"id\":\"0.5.4.0\",\"parent\":\"0.5.4\"},{\"name\":\"Injuries\",\"value\":64.0,\"id\":\"0.5.4.1\",\"parent\":\"0.5.4\"},{\"name\":\"Noncommunicable diseases\",\"value\":804.0,\"id\":\"0.5.4.2\",\"parent\":\"0.5.4\"},{\"name\":\"Fiji\",\"id\":\"0.5.4\",\"parent\":\"0.5\",\"value\":973.2},{\"name\":\"Communicable diseases\",\"value\":33.9,\"id\":\"0.5.5.0\",\"parent\":\"0.5.5\"},{\"name\":\"Injuries\",\"value\":40.5,\"id\":\"0.5.5.1\",\"parent\":\"0.5.5\"},{\"name\":\"Noncommunicable diseases\",\"value\":244.2,\"id\":\"0.5.5.2\",\"parent\":\"0.5.5\"},{\"name\":\"Japan\",\"id\":\"0.5.5\",\"parent\":\"0.5\",\"value\":318.6},{\"name\":\"Communicable diseases\",\"value\":328.7,\"id\":\"0.5.6.0\",\"parent\":\"0.5.6\"},{\"name\":\"Injuries\",\"value\":75.2,\"id\":\"0.5.6.1\",\"parent\":\"0.5.6\"},{\"name\":\"Noncommunicable diseases\",\"value\":680.0,\"id\":\"0.5.6.2\",\"parent\":\"0.5.6\"},{\"name\":\"Lao People's Democratic Republic\",\"id\":\"0.5.6\",\"parent\":\"0.5\",\"value\":1083.9},{\"name\":\"Communicable diseases\",\"value\":117.4,\"id\":\"0.5.7.0\",\"parent\":\"0.5.7\"},{\"name\":\"Injuries\",\"value\":62.8,\"id\":\"0.5.7.1\",\"parent\":\"0.5.7\"},{\"name\":\"Noncommunicable diseases\",\"value\":563.2,\"id\":\"0.5.7.2\",\"parent\":\"0.5.7\"},{\"name\":\"Malaysia\",\"id\":\"0.5.7\",\"parent\":\"0.5\",\"value\":743.4},{\"name\":\"Communicable diseases\",\"value\":82.8,\"id\":\"0.5.8.0\",\"parent\":\"0.5.8\"},{\"name\":\"Injuries\",\"value\":69.4,\"id\":\"0.5.8.1\",\"parent\":\"0.5.8\"},{\"name\":\"Noncommunicable diseases\",\"value\":966.5,\"id\":\"0.5.8.2\",\"parent\":\"0.5.8\"},{\"name\":\"Mongolia\",\"id\":\"0.5.8\",\"parent\":\"0.5\",\"value\":1118.7},{\"name\":\"Communicable diseases\",\"value\":18.0,\"id\":\"0.5.9.0\",\"parent\":\"0.5.9\"},{\"name\":\"Injuries\",\"value\":32.9,\"id\":\"0.5.9.1\",\"parent\":\"0.5.9\"},{\"name\":\"Noncommunicable diseases\",\"value\":313.6,\"id\":\"0.5.9.2\",\"parent\":\"0.5.9\"},{\"name\":\"New Zealand\",\"id\":\"0.5.9\",\"parent\":\"0.5\",\"value\":364.5},{\"name\":\"Communicable diseases\",\"value\":554.3,\"id\":\"0.5.10.0\",\"parent\":\"0.5.10\"},{\"name\":\"Injuries\",\"value\":100.1,\"id\":\"0.5.10.1\",\"parent\":\"0.5.10\"},{\"name\":\"Noncommunicable diseases\",\"value\":693.2,\"id\":\"0.5.10.2\",\"parent\":\"0.5.10\"},{\"name\":\"Papua New Guinea\",\"id\":\"0.5.10\",\"parent\":\"0.5\",\"value\":1347.6},{\"name\":\"Communicable diseases\",\"value\":226.4,\"id\":\"0.5.11.0\",\"parent\":\"0.5.11\"},{\"name\":\"Injuries\",\"value\":53.8,\"id\":\"0.5.11.1\",\"parent\":\"0.5.11\"},{\"name\":\"Noncommunicable diseases\",\"value\":720.0,\"id\":\"0.5.11.2\",\"parent\":\"0.5.11\"},{\"name\":\"Philippines\",\"id\":\"0.5.11\",\"parent\":\"0.5\",\"value\":1000.2},{\"name\":\"Communicable diseases\",\"value\":33.8,\"id\":\"0.5.12.0\",\"parent\":\"0.5.12\"},{\"name\":\"Injuries\",\"value\":53.1,\"id\":\"0.5.12.1\",\"parent\":\"0.5.12\"},{\"name\":\"Noncommunicable diseases\",\"value\":302.1,\"id\":\"0.5.12.2\",\"parent\":\"0.5.12\"},{\"name\":\"Republic of Korea\",\"id\":\"0.5.12\",\"parent\":\"0.5\",\"value\":389.0},{\"name\":\"Communicable diseases\",\"value\":66.2,\"id\":\"0.5.13.0\",\"parent\":\"0.5.13\"},{\"name\":\"Injuries\",\"value\":17.5,\"id\":\"0.5.13.1\",\"parent\":\"0.5.13\"},{\"name\":\"Noncommunicable diseases\",\"value\":264.8,\"id\":\"0.5.13.2\",\"parent\":\"0.5.13\"},{\"name\":\"Singapore\",\"id\":\"0.5.13\",\"parent\":\"0.5\",\"value\":348.5},{\"name\":\"Communicable diseases\",\"value\":230.6,\"id\":\"0.5.14.0\",\"parent\":\"0.5.14\"},{\"name\":\"Injuries\",\"value\":75.1,\"id\":\"0.5.14.1\",\"parent\":\"0.5.14\"},{\"name\":\"Noncommunicable diseases\",\"value\":709.7,\"id\":\"0.5.14.2\",\"parent\":\"0.5.14\"},{\"name\":\"Solomon Islands\",\"id\":\"0.5.14\",\"parent\":\"0.5\",\"value\":1015.4},{\"name\":\"Communicable diseases\",\"value\":96.0,\"id\":\"0.5.15.0\",\"parent\":\"0.5.15\"},{\"name\":\"Injuries\",\"value\":59.0,\"id\":\"0.5.15.1\",\"parent\":\"0.5.15\"},{\"name\":\"Noncommunicable diseases\",\"value\":435.4,\"id\":\"0.5.15.2\",\"parent\":\"0.5.15\"},{\"name\":\"Viet Nam\",\"id\":\"0.5.15\",\"parent\":\"0.5\",\"value\":590.4},{\"name\":\"Western Pacific\",\"id\":\"0.5\",\"color\":\"#f15c80\",\"value\":11566.0}]}],\"plotOptions\":{\"series\":{\"animation\":false},\"line\":{\"animation\":false},\"column\":{\"animation\":false},\"bar\":{\"animation\":false},\"pie\":{\"animation\":false},\"scatter\":{\"animation\":false},\"bubble\":{\"animation\":false},\"treemap\":{\"animation\":false}},\"title\":{\"text\":\"Global Mortality Rate 2012, per 100 000 population\"},\"subtitle\":{\"text\":\"Click points to drill down.\\nSource:                   <a href=\\\"http:\\/\\/apps.who.int\\/gho\\/data\\/node.main.12?lang=en\\\">WHO<\\/a>.\"}};\n",
       "    \n",
       "options = JSON.stringify(options);\n",
       "\n",
       "options = JSON.parse(options, function (key, value) {\n",
       "\n",
       "\tif (value && (typeof value === \"string\")) {\n",
       "\n",
       "\t\t\t\tvar check1 = (value.replace(/\\s+/g, '').replace(/\\r?\\n|\\r/g, '').substr(0, 8) == \"function\"),\n",
       "\t\t\tcheck2 = (value.replace(/\\s+/g, '').replace(/\\r?\\n|\\r/g, '').substr(0, 9) == \"(function\");\n",
       "\n",
       "\n",
       "\t\tif (check1) {\n",
       "\t\t\tvar startBody = value.indexOf('{') + 1;\n",
       "\t\t\tvar endBody = value.lastIndexOf('}');\n",
       "\t\t\tvar startArgs = value.indexOf('(') + 1;\n",
       "\t\t\tvar endArgs = value.indexOf(')');\n",
       "\n",
       "\t\t\treturn new Function(value.substring(startArgs, endArgs),\n",
       "\t\t\t\tvalue.substring(startBody, endBody));\n",
       "\t\t}\n",
       "\t\tif (check2) {\n",
       "\t\t\treturn eval(value);\n",
       "\t\t}\n",
       "\n",
       "\t}\n",
       "\n",
       "\treturn value;\n",
       "\n",
       "});\n",
       "    \n",
       "\n",
       "    var opt = $.extend(true, {}, options);\n",
       "    if (window.opts==undefined) {\n",
       "        window.opts = {};\n",
       "    }\n",
       "    window.opts['61cdbc2c_5256_4edb_a0c0_f76c3a29a562'] = opt;\n",
       "\n",
       "    console.log('Highcharts/Highstock options accessible as opts[\"61cdbc2c_5256_4edb_a0c0_f76c3a29a562\"]');\n",
       "    \n",
       "            \n",
       "            window.chart = new Highcharts.Chart(options);\n",
       "            \n",
       "    console.log('Highcharts/Highstock chart accessible as charts[\"61cdbc2c_5256_4edb_a0c0_f76c3a29a562\"]');\n",
       "    \n",
       "        });\n",
       "    });\n",
       "    </script>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g = hc.Highcharts()\n",
    "\n",
    "g.chart.type = 'treemap'\n",
    "g.chart.width = 900\n",
    "g.chart.height = 600\n",
    "\n",
    "g.title.text = 'Global Mortality Rate 2012, per 100 000 population'\n",
    "g.subtitle.text = 'Click points to drill down.\\nSource: \\\n",
    "                  <a href=\"http://apps.who.int/gho/data/node.main.12?lang=en\">WHO</a>.'\n",
    "g.exporting = False\n",
    "\n",
    "g.series = [{\n",
    "    'type': \"treemap\",\n",
    "    'layoutAlgorithm': 'squarified',\n",
    "    'allowDrillToNode': True,\n",
    "    'dataLabels': {\n",
    "        'enabled': False\n",
    "    },\n",
    "    'levelIsConstant': False,\n",
    "    'levels': [{\n",
    "        'level': 1,\n",
    "        'dataLabels': {\n",
    "            'enabled': True\n",
    "        },\n",
    "        'borderWidth': 3\n",
    "    }],\n",
    "    'data': points,\n",
    "}]\n",
    "\n",
    "g.plot(version='6.1.2')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Sunburst - 2 levels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Market Share</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brand</th>\n",
       "      <th>Version</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"4\" valign=\"top\">Internet Explorer</th>\n",
       "      <th>6.0</th>\n",
       "      <td>6.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.0</th>\n",
       "      <td>3.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8.0</th>\n",
       "      <td>26.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9.0</th>\n",
       "      <td>16.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Firefox</th>\n",
       "      <th>2.0</th>\n",
       "      <td>0.09</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           Market Share\n",
       "Brand             Version              \n",
       "Internet Explorer 6.0              6.40\n",
       "                  7.0              3.55\n",
       "                  8.0             26.70\n",
       "                  9.0             16.96\n",
       "Firefox           2.0              0.09"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = hc.sample.df_two_idx_one_col()\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'id': '0', 'name': 'Total'},\n",
       " {'name': '10', 'value': 0.09, 'id': '0.0.0', 'parent': '0.0'},\n",
       " {'name': '11', 'value': 0.1, 'id': '0.0.1', 'parent': '0.0'},\n",
       " {'name': '12', 'value': 0.16, 'id': '0.0.2', 'parent': '0.0'},\n",
       " {'name': '13', 'value': 0.13, 'id': '0.0.3', 'parent': '0.0'}]"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "points = hc.build.series_tree(df, set_total=True, name_total='Total',\n",
    "                              set_color=False,\n",
    "                              set_value=False, precision=2)\n",
    "points[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div id=\"73bae7f3_0edc_4bc8_a0cc_4529f1dfa796container_chart\"></div><script>\n",
       "    // the Jupyter notebook loads jquery.min.js  and require.js and at the top of the page\n",
       "    // then to make jquery available inside a require module\n",
       "    // the trick is http://www.manuel-strehl.de/dev/load_jquery_before_requirejs.en.html\n",
       "    define('jquery', [], function() {\n",
       "        return jQuery;\n",
       "    });\n",
       "\n",
       "    // hardcoded var - temporary\n",
       "    require(['jquery', 'https://code.highcharts.com/stock/6.1.2/highstock.js', 'https://d3js.org/d3.v3.min.js'], function(jquery,\n",
       "                         Highcharts,\n",
       "                         d3\n",
       "                         ) {\n",
       "        // hardcoded var - temporary\n",
       "        require(['https://code.highcharts.com/stock/6.1.2/highcharts-more.js', 'https://code.highcharts.com/stock/6.1.2/modules/exporting.js', 'https://code.highcharts.com/stock/6.1.2/modules/offline-exporting.js', 'https://code.highcharts.com/stock/6.1.2/modules/export-data.js', 'https://code.highcharts.com/stock/6.1.2/modules/drilldown.js', 'https://code.highcharts.com/stock/6.1.2/modules/heatmap.js', 'https://code.highcharts.com/stock/6.1.2/modules/treemap.js', 'https://code.highcharts.com/stock/6.1.2/modules/sunburst.js', 'https://cdn.datatables.net/1.10.10/js/jquery.dataTables.min.js'], function(hcMore,\n",
       "                             exporting,\n",
       "                             offLineExporting,\n",
       "                             exportData,\n",
       "                             drilldown,\n",
       "                             heatmap,\n",
       "                             treemap,\n",
       "                             sunburst,\n",
       "                             dataTables,\n",
       "                             ) {\n",
       "            hcMore(Highcharts);\n",
       "            exporting(Highcharts);\n",
       "            offLineExporting(Highcharts);\n",
       "            exportData(Highcharts);\n",
       "            drilldown(Highcharts);\n",
       "            heatmap(Highcharts);\n",
       "            treemap(Highcharts);\n",
       "            sunburst(Highcharts);\n",
       "            \n",
       "    var options = {\"credits\":{\"enabled\":false},\"exporting\":false,\"chart\":{\"animation\":true,\"type\":\"sunburst\",\"height\":\"80%\",\"renderTo\":\"73bae7f3_0edc_4bc8_a0cc_4529f1dfa796container_chart\"},\"series\":[{\"type\":\"sunburst\",\"data\":[{\"id\":\"0\",\"name\":\"Total\"},{\"name\":\"10\",\"value\":0.09,\"id\":\"0.0.0\",\"parent\":\"0.0\"},{\"name\":\"11\",\"value\":0.1,\"id\":\"0.0.1\",\"parent\":\"0.0\"},{\"name\":\"12\",\"value\":0.16,\"id\":\"0.0.2\",\"parent\":\"0.0\"},{\"name\":\"13\",\"value\":0.13,\"id\":\"0.0.3\",\"parent\":\"0.0\"},{\"name\":\"14.0\",\"value\":0.25,\"id\":\"0.0.4\",\"parent\":\"0.0\"},{\"name\":\"15.0\",\"value\":0.18,\"id\":\"0.0.5\",\"parent\":\"0.0\"},{\"name\":\"16.0\",\"value\":0.45,\"id\":\"0.0.6\",\"parent\":\"0.0\"},{\"name\":\"17.0\",\"value\":1.13,\"id\":\"0.0.7\",\"parent\":\"0.0\"},{\"name\":\"18.0\",\"value\":8.27,\"id\":\"0.0.8\",\"parent\":\"0.0\"},{\"name\":\"19.0\",\"value\":7.73,\"id\":\"0.0.9\",\"parent\":\"0.0\"},{\"name\":\"20.0\",\"value\":0.24,\"id\":\"0.0.10\",\"parent\":\"0.0\"},{\"name\":\"Chrome\",\"id\":\"0.0\",\"parent\":\"0\"},{\"name\":\"2.0\",\"value\":0.09,\"id\":\"0.1.0\",\"parent\":\"0.1\"},{\"name\":\"3.0\",\"value\":0.36,\"id\":\"0.1.1\",\"parent\":\"0.1\"},{\"name\":\"3.5\",\"value\":0.36,\"id\":\"0.1.2\",\"parent\":\"0.1\"},{\"name\":\"3.6\",\"value\":1.87,\"id\":\"0.1.3\",\"parent\":\"0.1\"},{\"name\":\"4.0\",\"value\":0.5,\"id\":\"0.1.4\",\"parent\":\"0.1\"},{\"name\":\"5.0\",\"value\":0.31,\"id\":\"0.1.5\",\"parent\":\"0.1\"},{\"name\":\"6.0\",\"value\":0.32,\"id\":\"0.1.6\",\"parent\":\"0.1\"},{\"name\":\"7.0\",\"value\":0.29,\"id\":\"0.1.7\",\"parent\":\"0.1\"},{\"name\":\"8.0\",\"value\":0.55,\"id\":\"0.1.8\",\"parent\":\"0.1\"},{\"name\":\"9.0\",\"value\":0.65,\"id\":\"0.1.9\",\"parent\":\"0.1\"},{\"name\":\"10\",\"value\":0.9,\"id\":\"0.1.10\",\"parent\":\"0.1\"},{\"name\":\"11\",\"value\":4.72,\"id\":\"0.1.11\",\"parent\":\"0.1\"},{\"name\":\"12\",\"value\":6.72,\"id\":\"0.1.12\",\"parent\":\"0.1\"},{\"name\":\"13\",\"value\":2.16,\"id\":\"0.1.13\",\"parent\":\"0.1\"},{\"name\":\"14.0\",\"value\":0.1,\"id\":\"0.1.14\",\"parent\":\"0.1\"},{\"name\":\"Firefox\",\"id\":\"0.1\",\"parent\":\"0\"},{\"name\":\"6.0\",\"value\":6.4,\"id\":\"0.2.0\",\"parent\":\"0.2\"},{\"name\":\"7.0\",\"value\":3.55,\"id\":\"0.2.1\",\"parent\":\"0.2\"},{\"name\":\"8.0\",\"value\":26.7,\"id\":\"0.2.2\",\"parent\":\"0.2\"},{\"name\":\"9.0\",\"value\":16.96,\"id\":\"0.2.3\",\"parent\":\"0.2\"},{\"name\":\"Internet Explorer\",\"id\":\"0.2\",\"parent\":\"0\"},{\"name\":\"10.x\",\"value\":0.09,\"id\":\"0.3.0\",\"parent\":\"0.3\"},{\"name\":\"11.x\",\"value\":1.3,\"id\":\"0.3.1\",\"parent\":\"0.3\"},{\"name\":\"12.x\",\"value\":0.15,\"id\":\"0.3.2\",\"parent\":\"0.3\"},{\"name\":\"Opera\",\"id\":\"0.3\",\"parent\":\"0\"},{\"name\":\"4.0\",\"value\":0.14,\"id\":\"0.4.0\",\"parent\":\"0.4\"},{\"name\":\"4.1\",\"value\":0.12,\"id\":\"0.4.1\",\"parent\":\"0.4\"},{\"name\":\"5.0\",\"value\":0.85,\"id\":\"0.4.2\",\"parent\":\"0.4\"},{\"name\":\"5.1\",\"value\":3.53,\"id\":\"0.4.3\",\"parent\":\"0.4\"},{\"name\":\"Safari\",\"id\":\"0.4\",\"parent\":\"0\"},{\"name\":\"Unknown\",\"value\":0.29,\"id\":\"0.5.0\",\"parent\":\"0.5\"},{\"name\":\"Unknown\",\"id\":\"0.5\",\"parent\":\"0\"}],\"allowDrillToNode\":true,\"cursor\":\"pointer\",\"dataLabels\":{\"format\":\"{point.name}\",\"filter\":{\"property\":\"innerArcLength\",\"operator\":\">\",\"value\":16}},\"levels\":[{\"level\":2,\"colorByPoint\":true,\"dataLabels\":{\"rotationMode\":\"parallel\"}},{\"level\":3,\"colorVariation\":{\"key\":\"brightness\",\"to\":-0.5}},{\"level\":4,\"colorVariation\":{\"key\":\"brightness\",\"to\":0.5}}]}],\"plotOptions\":{\"series\":{\"animation\":true},\"line\":{\"animation\":false},\"column\":{\"animation\":false},\"bar\":{\"animation\":false},\"pie\":{\"animation\":false},\"scatter\":{\"animation\":false},\"bubble\":{\"animation\":false},\"treemap\":{\"animation\":false}},\"title\":{\"text\":\"Browser Market Share\"},\"tooltip\":{\"headerFormat\":\"\",\"pointFormat\":\"<b>{point.name}<\\/b> Market Share is <b>{point.value:,.3f}<\\/b>\"}};\n",
       "    \n",
       "options = JSON.stringify(options);\n",
       "\n",
       "options = JSON.parse(options, function (key, value) {\n",
       "\n",
       "\tif (value && (typeof value === \"string\")) {\n",
       "\n",
       "\t\t\t\tvar check1 = (value.replace(/\\s+/g, '').replace(/\\r?\\n|\\r/g, '').substr(0, 8) == \"function\"),\n",
       "\t\t\tcheck2 = (value.replace(/\\s+/g, '').replace(/\\r?\\n|\\r/g, '').substr(0, 9) == \"(function\");\n",
       "\n",
       "\n",
       "\t\tif (check1) {\n",
       "\t\t\tvar startBody = value.indexOf('{') + 1;\n",
       "\t\t\tvar endBody = value.lastIndexOf('}');\n",
       "\t\t\tvar startArgs = value.indexOf('(') + 1;\n",
       "\t\t\tvar endArgs = value.indexOf(')');\n",
       "\n",
       "\t\t\treturn new Function(value.substring(startArgs, endArgs),\n",
       "\t\t\t\tvalue.substring(startBody, endBody));\n",
       "\t\t}\n",
       "\t\tif (check2) {\n",
       "\t\t\treturn eval(value);\n",
       "\t\t}\n",
       "\n",
       "\t}\n",
       "\n",
       "\treturn value;\n",
       "\n",
       "});\n",
       "    \n",
       "\n",
       "    var opt = $.extend(true, {}, options);\n",
       "    if (window.opts==undefined) {\n",
       "        window.opts = {};\n",
       "    }\n",
       "    window.opts['73bae7f3_0edc_4bc8_a0cc_4529f1dfa796'] = opt;\n",
       "\n",
       "    console.log('Highcharts/Highstock options accessible as opts[\"73bae7f3_0edc_4bc8_a0cc_4529f1dfa796\"]');\n",
       "    \n",
       "            \n",
       "            window.chart = new Highcharts.Chart(options);\n",
       "            \n",
       "    console.log('Highcharts/Highstock chart accessible as charts[\"73bae7f3_0edc_4bc8_a0cc_4529f1dfa796\"]');\n",
       "    \n",
       "        });\n",
       "    });\n",
       "    </script>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g = hc.Highcharts()\n",
    "\n",
    "g.chart.type = 'sunburst'\n",
    "g.title.text = 'Browser Market Share'\n",
    "g.plotOptions.series.animation = True\n",
    "g.chart.height = '80%'\n",
    "g.chart.animation = True\n",
    "g.exporting = False\n",
    "g.tooltip = {\n",
    "    'headerFormat': \"\",\n",
    "    'pointFormat': '<b>{point.name}</b> Market Share is <b>{point.value:,.3f}</b>'\n",
    "}\n",
    "g.series =  [{\n",
    "    'type': 'sunburst',\n",
    "    'data': points,\n",
    "    'allowDrillToNode': True,\n",
    "    'cursor': 'pointer',\n",
    "    'dataLabels': {\n",
    "        'format': '{point.name}',\n",
    "        'filter': {\n",
    "            'property': 'innerArcLength',\n",
    "            'operator': '>',\n",
    "            'value': 16\n",
    "        }\n",
    "    },\n",
    "    'levels': [{\n",
    "        'level': 2,\n",
    "        'colorByPoint': True,\n",
    "        'dataLabels': {\n",
    "            'rotationMode': 'parallel'\n",
    "        }\n",
    "    },\n",
    "    {\n",
    "        'level': 3,\n",
    "        'colorVariation': {\n",
    "            'key': 'brightness',\n",
    "            'to': -0.5\n",
    "        }\n",
    "    }, {\n",
    "        'level': 4,\n",
    "        'colorVariation': {\n",
    "            'key': 'brightness',\n",
    "            'to': 0.5\n",
    "        }\n",
    "    }]\n",
    "\n",
    "}]\n",
    "\n",
    "g.plot(version='6.1.2')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Sunburst - 3 levels\n",
    "+ Any number of levels works"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Population</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Continent</th>\n",
       "      <th>Region</th>\n",
       "      <th>Country</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">Africa</th>\n",
       "      <th rowspan=\"5\" valign=\"top\">Central Africa</th>\n",
       "      <th>Angola</th>\n",
       "      <td>29784193.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cameroon</th>\n",
       "      <td>24053727.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Central African Republic</th>\n",
       "      <td>4659080.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chad</th>\n",
       "      <td>14899994.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Congo</th>\n",
       "      <td>5260750.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                   Population\n",
       "Continent Region         Country                             \n",
       "Africa    Central Africa Angola                    29784193.0\n",
       "                         Cameroon                  24053727.0\n",
       "                         Central African Republic   4659080.0\n",
       "                         Chad                      14899994.0\n",
       "                         Congo                      5260750.0"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = hc.sample.df_several_idx_one_col_2()\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'id': '0', 'name': 'World'},\n",
       " {'name': 'Angola', 'value': 29784193.0, 'id': '0.0.0.0', 'parent': '0.0.0'},\n",
       " {'name': 'Cameroon', 'value': 24053727.0, 'id': '0.0.0.1', 'parent': '0.0.0'},\n",
       " {'name': 'Central African Republic',\n",
       "  'value': 4659080.0,\n",
       "  'id': '0.0.0.2',\n",
       "  'parent': '0.0.0'},\n",
       " {'name': 'Chad', 'value': 14899994.0, 'id': '0.0.0.3', 'parent': '0.0.0'}]"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "points = hc.build.series_tree(df, set_total=True, name_total='World',\n",
    "                              set_value=False, set_color=False, precision=0)\n",
    "points[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div id=\"28f3bafe_080a_4aa4_9bfe_87b5cb1fd92ccontainer_chart\"></div><script>\n",
       "    // the Jupyter notebook loads jquery.min.js  and require.js and at the top of the page\n",
       "    // then to make jquery available inside a require module\n",
       "    // the trick is http://www.manuel-strehl.de/dev/load_jquery_before_requirejs.en.html\n",
       "    define('jquery', [], function() {\n",
       "        return jQuery;\n",
       "    });\n",
       "\n",
       "    // hardcoded var - temporary\n",
       "    require(['jquery', 'https://code.highcharts.com/stock/6.1.2/highstock.js', 'https://d3js.org/d3.v3.min.js'], function(jquery,\n",
       "                         Highcharts,\n",
       "                         d3\n",
       "                         ) {\n",
       "        // hardcoded var - temporary\n",
       "        require(['https://code.highcharts.com/stock/6.1.2/highcharts-more.js', 'https://code.highcharts.com/stock/6.1.2/modules/exporting.js', 'https://code.highcharts.com/stock/6.1.2/modules/offline-exporting.js', 'https://code.highcharts.com/stock/6.1.2/modules/export-data.js', 'https://code.highcharts.com/stock/6.1.2/modules/drilldown.js', 'https://code.highcharts.com/stock/6.1.2/modules/heatmap.js', 'https://code.highcharts.com/stock/6.1.2/modules/treemap.js', 'https://code.highcharts.com/stock/6.1.2/modules/sunburst.js', 'https://cdn.datatables.net/1.10.10/js/jquery.dataTables.min.js'], function(hcMore,\n",
       "                             exporting,\n",
       "                             offLineExporting,\n",
       "                             exportData,\n",
       "                             drilldown,\n",
       "                             heatmap,\n",
       "                             treemap,\n",
       "                             sunburst,\n",
       "                             dataTables,\n",
       "                             ) {\n",
       "            hcMore(Highcharts);\n",
       "            exporting(Highcharts);\n",
       "            offLineExporting(Highcharts);\n",
       "            exportData(Highcharts);\n",
       "            drilldown(Highcharts);\n",
       "            heatmap(Highcharts);\n",
       "            treemap(Highcharts);\n",
       "            sunburst(Highcharts);\n",
       "            \n",
       "    var options = {\"credits\":{\"enabled\":false},\"exporting\":false,\"chart\":{\"animation\":true,\"type\":\"sunburst\",\"height\":\"90%\",\"renderTo\":\"28f3bafe_080a_4aa4_9bfe_87b5cb1fd92ccontainer_chart\"},\"series\":[{\"type\":\"sunburst\",\"data\":[{\"id\":\"0\",\"name\":\"World\"},{\"name\":\"Angola\",\"value\":29784193.0,\"id\":\"0.0.0.0\",\"parent\":\"0.0.0\"},{\"name\":\"Cameroon\",\"value\":24053727.0,\"id\":\"0.0.0.1\",\"parent\":\"0.0.0\"},{\"name\":\"Central African Republic\",\"value\":4659080.0,\"id\":\"0.0.0.2\",\"parent\":\"0.0.0\"},{\"name\":\"Chad\",\"value\":14899994.0,\"id\":\"0.0.0.3\",\"parent\":\"0.0.0\"},{\"name\":\"Congo\",\"value\":5260750.0,\"id\":\"0.0.0.4\",\"parent\":\"0.0.0\"},{\"name\":\"Democratic Republic of the Congo\",\"value\":81339988.0,\"id\":\"0.0.0.5\",\"parent\":\"0.0.0\"},{\"name\":\"Equatorial Guinea\",\"value\":1267689.0,\"id\":\"0.0.0.6\",\"parent\":\"0.0.0\"},{\"name\":\"Gabon\",\"value\":2025137.0,\"id\":\"0.0.0.7\",\"parent\":\"0.0.0\"},{\"name\":\"Sao Tome and Principe\",\"value\":204327.0,\"id\":\"0.0.0.8\",\"parent\":\"0.0.0\"},{\"name\":\"Central Africa\",\"id\":\"0.0.0\",\"parent\":\"0.0\"},{\"name\":\"Burundi\",\"value\":10864245.0,\"id\":\"0.0.1.0\",\"parent\":\"0.0.1\"},{\"name\":\"Comoros\",\"value\":813912.0,\"id\":\"0.0.1.1\",\"parent\":\"0.0.1\"},{\"name\":\"Djibouti\",\"value\":956985.0,\"id\":\"0.0.1.2\",\"parent\":\"0.0.1\"},{\"name\":\"Eritrea\",\"value\":5068831.0,\"id\":\"0.0.1.3\",\"parent\":\"0.0.1\"},{\"name\":\"Ethiopia\",\"value\":104957438.0,\"id\":\"0.0.1.4\",\"parent\":\"0.0.1\"},{\"name\":\"Kenya\",\"value\":49699862.0,\"id\":\"0.0.1.5\",\"parent\":\"0.0.1\"},{\"name\":\"Madagascar\",\"value\":25570895.0,\"id\":\"0.0.1.6\",\"parent\":\"0.0.1\"},{\"name\":\"Malawi\",\"value\":18622104.0,\"id\":\"0.0.1.7\",\"parent\":\"0.0.1\"},{\"name\":\"Mauritius\",\"value\":1265138.0,\"id\":\"0.0.1.8\",\"parent\":\"0.0.1\"},{\"name\":\"Mayotte\",\"value\":253045.0,\"id\":\"0.0.1.9\",\"parent\":\"0.0.1\"},{\"name\":\"Mozambique\",\"value\":29668834.0,\"id\":\"0.0.1.10\",\"parent\":\"0.0.1\"},{\"name\":\"Rwanda\",\"value\":12208407.0,\"id\":\"0.0.1.11\",\"parent\":\"0.0.1\"},{\"name\":\"R\\u00e9union\",\"value\":876562.0,\"id\":\"0.0.1.12\",\"parent\":\"0.0.1\"},{\"name\":\"Seychelles\",\"value\":94737.0,\"id\":\"0.0.1.13\",\"parent\":\"0.0.1\"},{\"name\":\"Somalia\",\"value\":14742523.0,\"id\":\"0.0.1.14\",\"parent\":\"0.0.1\"},{\"name\":\"South Sudan\",\"value\":12575714.0,\"id\":\"0.0.1.15\",\"parent\":\"0.0.1\"},{\"name\":\"Tanzania\",\"value\":57310019.0,\"id\":\"0.0.1.16\",\"parent\":\"0.0.1\"},{\"name\":\"Uganda\",\"value\":42862958.0,\"id\":\"0.0.1.17\",\"parent\":\"0.0.1\"},{\"name\":\"Zambia\",\"value\":17094130.0,\"id\":\"0.0.1.18\",\"parent\":\"0.0.1\"},{\"name\":\"Zimbabwe\",\"value\":16529904.0,\"id\":\"0.0.1.19\",\"parent\":\"0.0.1\"},{\"name\":\"Eastern Africa\",\"id\":\"0.0.1\",\"parent\":\"0.0\"},{\"name\":\"Algeria\",\"value\":41318142.0,\"id\":\"0.0.2.0\",\"parent\":\"0.0.2\"},{\"name\":\"Egypt\",\"value\":97553151.0,\"id\":\"0.0.2.1\",\"parent\":\"0.0.2\"},{\"name\":\"Libya\",\"value\":6374616.0,\"id\":\"0.0.2.2\",\"parent\":\"0.0.2\"},{\"name\":\"Morocco\",\"value\":35739580.0,\"id\":\"0.0.2.3\",\"parent\":\"0.0.2\"},{\"name\":\"Sudan\",\"value\":40533330.0,\"id\":\"0.0.2.4\",\"parent\":\"0.0.2\"},{\"name\":\"Tunisia\",\"value\":11532127.0,\"id\":\"0.0.2.5\",\"parent\":\"0.0.2\"},{\"name\":\"Western 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Europe\",\"id\":\"0.3.3\",\"parent\":\"0.3\"},{\"name\":\"Europe\",\"id\":\"0.3\",\"parent\":\"0\"},{\"name\":\"Australia\",\"value\":24450561.0,\"id\":\"0.4.0.0\",\"parent\":\"0.4.0\"},{\"name\":\"New Zealand\",\"value\":4705818.0,\"id\":\"0.4.0.1\",\"parent\":\"0.4.0\"},{\"name\":\"Australia and New Zealand\",\"id\":\"0.4.0\",\"parent\":\"0.4\"},{\"name\":\"Fiji\",\"value\":905502.0,\"id\":\"0.4.1.0\",\"parent\":\"0.4.1\"},{\"name\":\"New Caledonia\",\"value\":276255.0,\"id\":\"0.4.1.1\",\"parent\":\"0.4.1\"},{\"name\":\"Papua New Guinea\",\"value\":null,\"id\":\"0.4.1.2\",\"parent\":\"0.4.1\"},{\"name\":\"Solomon Islands\",\"value\":611343.0,\"id\":\"0.4.1.3\",\"parent\":\"0.4.1\"},{\"name\":\"Vanuatu\",\"value\":276244.0,\"id\":\"0.4.1.4\",\"parent\":\"0.4.1\"},{\"name\":\"Melanesia\",\"id\":\"0.4.1\",\"parent\":\"0.4\"},{\"name\":\"Federated States of Micronesia\",\"value\":105544.0,\"id\":\"0.4.2.0\",\"parent\":\"0.4.2\"},{\"name\":\"Guam\",\"value\":164229.0,\"id\":\"0.4.2.1\",\"parent\":\"0.4.2\"},{\"name\":\"Kiribati\",\"value\":116398.0,\"id\":\"0.4.2.2\",\"parent\":\"0.4.2\"},{\"name\":\"Marshall Islands\",\"value\":53127.0,\"id\":\"0.4.2.3\",\"parent\":\"0.4.2\"},{\"name\":\"Nauru\",\"value\":11359.0,\"id\":\"0.4.2.4\",\"parent\":\"0.4.2\"},{\"name\":\"Northern Mariana Islands\",\"value\":55144.0,\"id\":\"0.4.2.5\",\"parent\":\"0.4.2\"},{\"name\":\"Palau\",\"value\":21729.0,\"id\":\"0.4.2.6\",\"parent\":\"0.4.2\"},{\"name\":\"Micronesia\",\"id\":\"0.4.2\",\"parent\":\"0.4\"},{\"name\":\"American Samoa\",\"value\":55641.0,\"id\":\"0.4.3.0\",\"parent\":\"0.4.3\"},{\"name\":\"Cook Islands\",\"value\":17380.0,\"id\":\"0.4.3.1\",\"parent\":\"0.4.3\"},{\"name\":\"French Polynesia\",\"value\":283007.0,\"id\":\"0.4.3.2\",\"parent\":\"0.4.3\"},{\"name\":\"Niue\",\"value\":1618.0,\"id\":\"0.4.3.3\",\"parent\":\"0.4.3\"},{\"name\":\"Samoa\",\"value\":196440.0,\"id\":\"0.4.3.4\",\"parent\":\"0.4.3\"},{\"name\":\"Tokelau\",\"value\":1300.0,\"id\":\"0.4.3.5\",\"parent\":\"0.4.3\"},{\"name\":\"Tonga\",\"value\":108020.0,\"id\":\"0.4.3.6\",\"parent\":\"0.4.3\"},{\"name\":\"Tuvalu\",\"value\":11192.0,\"id\":\"0.4.3.7\",\"parent\":\"0.4.3\"},{\"name\":\"Wallis and Futuna\",\"value\":11773.0,\"id\":\"0.4.3.8\",\"parent\":\"0.4.3\"},{\"name\":\"Polynesia\",\"id\":\"0.4.3\",\"parent\":\"0.4\"},{\"name\":\"Oceanic\",\"id\":\"0.4\",\"parent\":\"0\"}],\"allowDrillToNode\":true,\"cursor\":\"pointer\",\"dataLabels\":{\"format\":\"{point.name}\",\"filter\":{\"property\":\"innerArcLength\",\"operator\":\">\",\"value\":16}},\"levels\":[{\"level\":2,\"colorByPoint\":true,\"dataLabels\":{\"rotationMode\":\"parallel\"}},{\"level\":3,\"colorVariation\":{\"key\":\"brightness\",\"to\":-0.5}},{\"level\":4,\"colorVariation\":{\"key\":\"brightness\",\"to\":0.5}}]}],\"plotOptions\":{\"series\":{\"animation\":false},\"line\":{\"animation\":false},\"column\":{\"animation\":false},\"bar\":{\"animation\":false},\"pie\":{\"animation\":false},\"scatter\":{\"animation\":false},\"bubble\":{\"animation\":false},\"treemap\":{\"animation\":false}},\"title\":{\"text\":\"World population 2017\"},\"subtitle\":{\"text\":\"Source <href=\\\"https:\\/\\/en.wikipedia.org\\/wiki\\/List_of_countries_by_population_(United_Nations)\\\">Wikipedia<\\/a>\"}};\n",
       "    \n",
       "options = JSON.stringify(options);\n",
       "\n",
       "options = JSON.parse(options, function (key, value) {\n",
       "\n",
       "\tif (value && (typeof value === \"string\")) {\n",
       "\n",
       "\t\t\t\tvar check1 = (value.replace(/\\s+/g, '').replace(/\\r?\\n|\\r/g, '').substr(0, 8) == \"function\"),\n",
       "\t\t\tcheck2 = (value.replace(/\\s+/g, '').replace(/\\r?\\n|\\r/g, '').substr(0, 9) == \"(function\");\n",
       "\n",
       "\n",
       "\t\tif (check1) {\n",
       "\t\t\tvar startBody = value.indexOf('{') + 1;\n",
       "\t\t\tvar endBody = value.lastIndexOf('}');\n",
       "\t\t\tvar startArgs = value.indexOf('(') + 1;\n",
       "\t\t\tvar endArgs = value.indexOf(')');\n",
       "\n",
       "\t\t\treturn new Function(value.substring(startArgs, endArgs),\n",
       "\t\t\t\tvalue.substring(startBody, endBody));\n",
       "\t\t}\n",
       "\t\tif (check2) {\n",
       "\t\t\treturn eval(value);\n",
       "\t\t}\n",
       "\n",
       "\t}\n",
       "\n",
       "\treturn value;\n",
       "\n",
       "});\n",
       "    \n",
       "\n",
       "    var opt = $.extend(true, {}, options);\n",
       "    if (window.opts==undefined) {\n",
       "        window.opts = {};\n",
       "    }\n",
       "    window.opts['28f3bafe_080a_4aa4_9bfe_87b5cb1fd92c'] = opt;\n",
       "\n",
       "    console.log('Highcharts/Highstock options accessible as opts[\"28f3bafe_080a_4aa4_9bfe_87b5cb1fd92c\"]');\n",
       "    \n",
       "            \n",
       "            window.chart = new Highcharts.Chart(options);\n",
       "            \n",
       "    console.log('Highcharts/Highstock chart accessible as charts[\"28f3bafe_080a_4aa4_9bfe_87b5cb1fd92c\"]');\n",
       "    \n",
       "        });\n",
       "    });\n",
       "    </script>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g = hc.Highcharts()\n",
    "\n",
    "g.chart.type = 'sunburst'\n",
    "g.chart.height = '90%'\n",
    "g.chart.animation = True\n",
    "g.title.text = 'World population 2017'\n",
    "g.subtitle.text = 'Source <href=\"https://en.wikipedia.org/wiki/List_of_countries_by_population_(United_Nations)\">Wikipedia</a>'\n",
    "g.exporting = False\n",
    "\n",
    "g.series =  [{\n",
    "    'type': \"sunburst\",\n",
    "    'data': points,\n",
    "    'allowDrillToNode': True,\n",
    "    'cursor': 'pointer',\n",
    "    'dataLabels': {\n",
    "        'format': '{point.name}',\n",
    "        'filter': {\n",
    "            'property': 'innerArcLength',\n",
    "            'operator': '>',\n",
    "            'value': 16\n",
    "        }\n",
    "    },\n",
    "    'levels': [{\n",
    "        'level': 2,\n",
    "        'colorByPoint': True,\n",
    "        'dataLabels': {\n",
    "            'rotationMode': 'parallel'\n",
    "        }\n",
    "    },\n",
    "    {\n",
    "        'level': 3,\n",
    "        'colorVariation': {\n",
    "            'key': 'brightness',\n",
    "            'to': -0.5\n",
    "        }\n",
    "    }, {\n",
    "        'level': 4,\n",
    "        'colorVariation': {\n",
    "            'key': 'brightness',\n",
    "            'to': 0.5\n",
    "        }\n",
    "    }]\n",
    "\n",
    "}]\n",
    "\n",
    "g.plot(version='6.1.2')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Polar Chart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>column</th>\n",
       "      <th>line</th>\n",
       "      <th>area</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   column  line  area\n",
       "0       8     1     1\n",
       "1       7     2     8\n",
       "2       6     3     2\n",
       "3       5     4     7\n",
       "4       4     5     3\n",
       "5       3     6     6\n",
       "6       2     7     4\n",
       "7       1     8     5"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.DataFrame(data=np.array([[8, 7, 6, 5, 4, 3, 2, 1],\n",
    "                                 [1, 2, 3, 4, 5, 6, 7, 8],\n",
    "                                 [1, 8, 2, 7, 3, 6, 4, 5]]).T,\n",
    "                  columns=['column', 'line', 'area'])\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div id=\"e1ff3c42_43a9_4b80_8d82_fa844771e8d8container_chart\"></div><script>\n",
       "    // the Jupyter notebook loads jquery.min.js  and require.js and at the top of the page\n",
       "    // then to make jquery available inside a require module\n",
       "    // the trick is http://www.manuel-strehl.de/dev/load_jquery_before_requirejs.en.html\n",
       "    define('jquery', [], function() {\n",
       "        return jQuery;\n",
       "    });\n",
       "\n",
       "    // hardcoded var - temporary\n",
       "    require(['jquery', 'https://code.highcharts.com/stock/6.1.2/highstock.js', 'https://d3js.org/d3.v3.min.js'], function(jquery,\n",
       "                         Highcharts,\n",
       "                         d3\n",
       "                         ) {\n",
       "        // hardcoded var - temporary\n",
       "        require(['https://code.highcharts.com/stock/6.1.2/highcharts-more.js', 'https://code.highcharts.com/stock/6.1.2/modules/exporting.js', 'https://code.highcharts.com/stock/6.1.2/modules/offline-exporting.js', 'https://code.highcharts.com/stock/6.1.2/modules/export-data.js', 'https://code.highcharts.com/stock/6.1.2/modules/drilldown.js', 'https://code.highcharts.com/stock/6.1.2/modules/heatmap.js', 'https://code.highcharts.com/stock/6.1.2/modules/treemap.js', 'https://code.highcharts.com/stock/6.1.2/modules/sunburst.js', 'https://cdn.datatables.net/1.10.10/js/jquery.dataTables.min.js'], function(hcMore,\n",
       "                             exporting,\n",
       "                             offLineExporting,\n",
       "                             exportData,\n",
       "                             drilldown,\n",
       "                             heatmap,\n",
       "                             treemap,\n",
       "                             sunburst,\n",
       "                             dataTables,\n",
       "                             ) {\n",
       "            hcMore(Highcharts);\n",
       "            exporting(Highcharts);\n",
       "            offLineExporting(Highcharts);\n",
       "            exportData(Highcharts);\n",
       "            drilldown(Highcharts);\n",
       "            heatmap(Highcharts);\n",
       "            treemap(Highcharts);\n",
       "            sunburst(Highcharts);\n",
       "            \n",
       "    var options = {\"credits\":{\"enabled\":false},\"exporting\":{\"enabled\":true},\"chart\":{\"animation\":false,\"polar\":true,\"width\":500,\"height\":500,\"renderTo\":\"e1ff3c42_43a9_4b80_8d82_fa844771e8d8container_chart\"},\"series\":[{\"type\":\"column\",\"name\":\"Column\",\"data\":[8,7,6,5,4,3,2,1],\"pointPlacement\":\"between\"},{\"type\":\"line\",\"name\":\"Line\",\"data\":[1,2,3,4,5,6,7,8]},{\"type\":\"area\",\"name\":\"Area\",\"data\":[1,8,2,7,3,6,4,5]}],\"plotOptions\":{\"series\":{\"animation\":false,\"pointStart\":0,\"pointInterval\":45},\"line\":{\"animation\":false},\"column\":{\"animation\":false,\"pointPadding\":0,\"groupPadding\":0},\"bar\":{\"animation\":false},\"pie\":{\"animation\":false},\"scatter\":{\"animation\":false},\"bubble\":{\"animation\":false},\"treemap\":{\"animation\":false}},\"title\":{\"text\":\"Polar Chart\"},\"pane\":{\"startAngle\":0,\"endAngle\":360,\"background\":[{\"backgroundColor\":\"#FFF\",\"borderWidth\":0}]},\"xAxis\":{\"tickInterval\":45,\"min\":0,\"max\":360,\"labels\":{\"formatter\":\"function() { return this.value + \\\"\\u00b0\\\"; }\"}},\"yAxis\":{\"min\":0}};\n",
       "    \n",
       "options = JSON.stringify(options);\n",
       "\n",
       "options = JSON.parse(options, function (key, value) {\n",
       "\n",
       "\tif (value && (typeof value === \"string\")) {\n",
       "\n",
       "\t\t\t\tvar check1 = (value.replace(/\\s+/g, '').replace(/\\r?\\n|\\r/g, '').substr(0, 8) == \"function\"),\n",
       "\t\t\tcheck2 = (value.replace(/\\s+/g, '').replace(/\\r?\\n|\\r/g, '').substr(0, 9) == \"(function\");\n",
       "\n",
       "\n",
       "\t\tif (check1) {\n",
       "\t\t\tvar startBody = value.indexOf('{') + 1;\n",
       "\t\t\tvar endBody = value.lastIndexOf('}');\n",
       "\t\t\tvar startArgs = value.indexOf('(') + 1;\n",
       "\t\t\tvar endArgs = value.indexOf(')');\n",
       "\n",
       "\t\t\treturn new Function(value.substring(startArgs, endArgs),\n",
       "\t\t\t\tvalue.substring(startBody, endBody));\n",
       "\t\t}\n",
       "\t\tif (check2) {\n",
       "\t\t\treturn eval(value);\n",
       "\t\t}\n",
       "\n",
       "\t}\n",
       "\n",
       "\treturn value;\n",
       "\n",
       "});\n",
       "    \n",
       "\n",
       "    var opt = $.extend(true, {}, options);\n",
       "    if (window.opts==undefined) {\n",
       "        window.opts = {};\n",
       "    }\n",
       "    window.opts['e1ff3c42_43a9_4b80_8d82_fa844771e8d8'] = opt;\n",
       "\n",
       "    console.log('Highcharts/Highstock options accessible as opts[\"e1ff3c42_43a9_4b80_8d82_fa844771e8d8\"]');\n",
       "    \n",
       "            \n",
       "            window.chart = new Highcharts.Chart(options);\n",
       "            \n",
       "    console.log('Highcharts/Highstock chart accessible as charts[\"e1ff3c42_43a9_4b80_8d82_fa844771e8d8\"]');\n",
       "    \n",
       "        });\n",
       "    });\n",
       "    </script>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g = hc.Highcharts()\n",
    "\n",
    "g.chart.polar = True\n",
    "g.chart.width = 500\n",
    "g.chart.height = 500\n",
    "\n",
    "g.title.text = 'Polar Chart'\n",
    "g.pane.startAngle = 0\n",
    "g.pane.endAngle = 360\n",
    "g.pane.background = [{'backgroundColor': '#FFF',\n",
    "                      'borderWidth': 0\n",
    "                     }]\n",
    "\n",
    "\n",
    "g.xAxis.tickInterval = 45\n",
    "g.xAxis.min = 0\n",
    "g.xAxis.max = 360\n",
    "g.xAxis.labels.formatter = 'function() { return this.value + \"°\"; }'\n",
    "g.yAxis.min = 0\n",
    "\n",
    "g.plotOptions.series.pointStart = 0\n",
    "g.plotOptions.series.pointInterval = 45\n",
    "g.plotOptions.column.pointPadding = 0\n",
    "g.plotOptions.column.groupPadding = 0\n",
    "\n",
    "g.series = [{\n",
    "    'type': 'column',\n",
    "    'name': 'Column',\n",
    "    'data': list(df['column']),\n",
    "    'pointPlacement': 'between',\n",
    "    }, {\n",
    "    'type': 'line',\n",
    "    'name': 'Line',\n",
    "    'data': list(df['line']),\n",
    "    }, {\n",
    "    'type': 'area',\n",
    "    'name': 'Area',\n",
    "    'data': list(df['area']),\n",
    "    }\n",
    "]\n",
    "\n",
    "g.plot(version='6.1.2')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Spider Web"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Allocated Budget</th>\n",
       "      <th>Actual Spending</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Sales</th>\n",
       "      <td>43000</td>\n",
       "      <td>50000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Marketing</th>\n",
       "      <td>19000</td>\n",
       "      <td>39000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Development</th>\n",
       "      <td>60000</td>\n",
       "      <td>42000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Customer Support</th>\n",
       "      <td>35000</td>\n",
       "      <td>31000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Information Technology</th>\n",
       "      <td>17000</td>\n",
       "      <td>26000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Administration</th>\n",
       "      <td>10000</td>\n",
       "      <td>14000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        Allocated Budget  Actual Spending\n",
       "Sales                              43000            50000\n",
       "Marketing                          19000            39000\n",
       "Development                        60000            42000\n",
       "Customer Support                   35000            31000\n",
       "Information Technology             17000            26000\n",
       "Administration                     10000            14000"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.DataFrame(data=np.array([[43000, 19000, 60000, 35000, 17000, 10000],\n",
    "                                 [50000, 39000, 42000, 31000, 26000, 14000]]).T,\n",
    "                  columns=['Allocated Budget', 'Actual Spending'],\n",
    "                  index = ['Sales', 'Marketing', 'Development', 'Customer Support',\n",
    "                           'Information Technology', 'Administration'])\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div id=\"f98c54d8_e681_4dca_bfaf_c0e60a4608c1container_chart\"></div><script>\n",
       "    // the Jupyter notebook loads jquery.min.js  and require.js and at the top of the page\n",
       "    // then to make jquery available inside a require module\n",
       "    // the trick is http://www.manuel-strehl.de/dev/load_jquery_before_requirejs.en.html\n",
       "    define('jquery', [], function() {\n",
       "        return jQuery;\n",
       "    });\n",
       "\n",
       "    // hardcoded var - temporary\n",
       "    require(['jquery', 'https://code.highcharts.com/stock/6.1.2/highstock.js', 'https://d3js.org/d3.v3.min.js'], function(jquery,\n",
       "                         Highcharts,\n",
       "                         d3\n",
       "                         ) {\n",
       "        // hardcoded var - temporary\n",
       "        require(['https://code.highcharts.com/stock/6.1.2/highcharts-more.js', 'https://code.highcharts.com/stock/6.1.2/modules/exporting.js', 'https://code.highcharts.com/stock/6.1.2/modules/offline-exporting.js', 'https://code.highcharts.com/stock/6.1.2/modules/export-data.js', 'https://code.highcharts.com/stock/6.1.2/modules/drilldown.js', 'https://code.highcharts.com/stock/6.1.2/modules/heatmap.js', 'https://code.highcharts.com/stock/6.1.2/modules/treemap.js', 'https://code.highcharts.com/stock/6.1.2/modules/sunburst.js', 'https://cdn.datatables.net/1.10.10/js/jquery.dataTables.min.js'], function(hcMore,\n",
       "                             exporting,\n",
       "                             offLineExporting,\n",
       "                             exportData,\n",
       "                             drilldown,\n",
       "                             heatmap,\n",
       "                             treemap,\n",
       "                             sunburst,\n",
       "                             dataTables,\n",
       "                             ) {\n",
       "            hcMore(Highcharts);\n",
       "            exporting(Highcharts);\n",
       "            offLineExporting(Highcharts);\n",
       "            exportData(Highcharts);\n",
       "            drilldown(Highcharts);\n",
       "            heatmap(Highcharts);\n",
       "            treemap(Highcharts);\n",
       "            sunburst(Highcharts);\n",
       "            \n",
       "    var options = {\"credits\":{\"enabled\":false},\"exporting\":{\"enabled\":true},\"chart\":{\"animation\":false,\"polar\":true,\"width\":650,\"height\":500,\"renderTo\":\"f98c54d8_e681_4dca_bfaf_c0e60a4608c1container_chart\"},\"series\":[{\"name\":\"Allocated Budget\",\"data\":[43000,19000,60000,35000,17000,10000],\"pointPlacement\":\"on\"},{\"name\":\"Actual Spending\",\"data\":[50000,39000,42000,31000,26000,14000],\"pointPlacement\":\"on\"}],\"plotOptions\":{\"series\":{\"animation\":false},\"line\":{\"animation\":false},\"column\":{\"animation\":false},\"bar\":{\"animation\":false},\"pie\":{\"animation\":false},\"scatter\":{\"animation\":false},\"bubble\":{\"animation\":false},\"treemap\":{\"animation\":false}},\"title\":{\"text\":\"Budget vs. Spending\",\"x\":-80},\"pane\":{\"size\":\"80%\",\"background\":[{\"backgroundColor\":\"#FFF\",\"borderWidth\":0}]},\"xAxis\":{\"tickmarkPlacement\":\"on\",\"lineWidth\":0,\"categories\":[\"Sales\",\"Marketing\",\"Development\",\"Customer Support\",\"Information Technology\",\"Administration\"]},\"yAxis\":{\"min\":0,\"lineWidth\":0,\"gridLineInterpolation\":\"polygon\"},\"tooltip\":{\"pointFormat\":\"<span style=\\\"color:{series.color}\\\">{series.name}: <b>${point.y:,.0f}<\\/b><br\\/>\",\"shared\":true},\"legend\":{\"align\":\"right\",\"verticalAlign\":\"top\",\"y\":70,\"layout\":\"vertical\"}};\n",
       "    \n",
       "options = JSON.stringify(options);\n",
       "\n",
       "options = JSON.parse(options, function (key, value) {\n",
       "\n",
       "\tif (value && (typeof value === \"string\")) {\n",
       "\n",
       "\t\t\t\tvar check1 = (value.replace(/\\s+/g, '').replace(/\\r?\\n|\\r/g, '').substr(0, 8) == \"function\"),\n",
       "\t\t\tcheck2 = (value.replace(/\\s+/g, '').replace(/\\r?\\n|\\r/g, '').substr(0, 9) == \"(function\");\n",
       "\n",
       "\n",
       "\t\tif (check1) {\n",
       "\t\t\tvar startBody = value.indexOf('{') + 1;\n",
       "\t\t\tvar endBody = value.lastIndexOf('}');\n",
       "\t\t\tvar startArgs = value.indexOf('(') + 1;\n",
       "\t\t\tvar endArgs = value.indexOf(')');\n",
       "\n",
       "\t\t\treturn new Function(value.substring(startArgs, endArgs),\n",
       "\t\t\t\tvalue.substring(startBody, endBody));\n",
       "\t\t}\n",
       "\t\tif (check2) {\n",
       "\t\t\treturn eval(value);\n",
       "\t\t}\n",
       "\n",
       "\t}\n",
       "\n",
       "\treturn value;\n",
       "\n",
       "});\n",
       "    \n",
       "\n",
       "    var opt = $.extend(true, {}, options);\n",
       "    if (window.opts==undefined) {\n",
       "        window.opts = {};\n",
       "    }\n",
       "    window.opts['f98c54d8_e681_4dca_bfaf_c0e60a4608c1'] = opt;\n",
       "\n",
       "    console.log('Highcharts/Highstock options accessible as opts[\"f98c54d8_e681_4dca_bfaf_c0e60a4608c1\"]');\n",
       "    \n",
       "            \n",
       "            window.chart = new Highcharts.Chart(options);\n",
       "            \n",
       "    console.log('Highcharts/Highstock chart accessible as charts[\"f98c54d8_e681_4dca_bfaf_c0e60a4608c1\"]');\n",
       "    \n",
       "        });\n",
       "    });\n",
       "    </script>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g = hc.Highcharts()\n",
    "\n",
    "g.chart.polar = True\n",
    "g.chart.width = 650\n",
    "g.chart.height = 500\n",
    "\n",
    "g.title.text = 'Budget vs. Spending'\n",
    "g.title.x = -80\n",
    "\n",
    "g.pane.size = '80%'\n",
    "g.pane.background = [{'backgroundColor': '#FFF',\n",
    "                      'borderWidth': 0\n",
    "                     }]\n",
    "\n",
    "g.xAxis.tickmarkPlacement = 'on'\n",
    "g.xAxis.lineWidth = 0\n",
    "g.xAxis.categories = list(df.index)\n",
    "\n",
    "g.yAxis.min = 0\n",
    "g.yAxis.lineWidth = 0\n",
    "g.yAxis.gridLineInterpolation = 'polygon'\n",
    "\n",
    "g.tooltip.pointFormat = '<span style=\"color:{series.color}\">{series.name}: <b>${point.y:,.0f}</b><br/>'\n",
    "g.tooltip.shared = True\n",
    "\n",
    "\n",
    "g.legend.align = 'right'\n",
    "g.legend.verticalAlign = 'top'\n",
    "g.legend.y = 70\n",
    "g.legend.layout = 'vertical'\n",
    "\n",
    "g.series = [{\n",
    "    'name': 'Allocated Budget',\n",
    "    'data': list(df['Allocated Budget']),\n",
    "    'pointPlacement': 'on'\n",
    "    }, {\n",
    "    'name': 'Actual Spending',\n",
    "    'data': list(df['Actual Spending']),\n",
    "    'pointPlacement': 'on'\n",
    "    },\n",
    "]\n",
    "\n",
    "g.plot(version='6.1.2')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Spider Web DrillDown"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "MultiIndex: 49 entries, (Commo Roll-yield, SGICLMFV) to (XA7 Trend, SGIXTFXA)\n",
      "Data columns (total 2 columns):\n",
      "5Y    49 non-null float64\n",
      "1Y    49 non-null float64\n",
      "dtypes: float64(2)\n",
      "memory usage: 1.6+ KB\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>5Y</th>\n",
       "      <th>1Y</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Strategy</th>\n",
       "      <th>Ticker</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Commo Roll-yield</th>\n",
       "      <th>SGICLMFV</th>\n",
       "      <td>0.537045</td>\n",
       "      <td>0.733342</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Commo Trend</th>\n",
       "      <th>SGIXTFCY</th>\n",
       "      <td>-0.329353</td>\n",
       "      <td>0.048283</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Credit Short vol</th>\n",
       "      <th>SGIMCESP</th>\n",
       "      <td>-0.308817</td>\n",
       "      <td>-0.377703</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Credit Trend</th>\n",
       "      <th>SGIXGCM</th>\n",
       "      <td>-0.309004</td>\n",
       "      <td>-0.364754</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">Defensive</th>\n",
       "      <th>SGBVPHLE</th>\n",
       "      <td>0.013125</td>\n",
       "      <td>0.361293</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SGBVPHQE</th>\n",
       "      <td>0.170590</td>\n",
       "      <td>0.545278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SGSLQAE</th>\n",
       "      <td>-0.226886</td>\n",
       "      <td>-0.346204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SGSLQAU</th>\n",
       "      <td>-0.169910</td>\n",
       "      <td>-0.203781</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SGSLQAW</th>\n",
       "      <td>-0.176810</td>\n",
       "      <td>-0.358769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Div Roll yield</th>\n",
       "      <th>SGBVDRY</th>\n",
       "      <td>0.323195</td>\n",
       "      <td>0.314904</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                 5Y        1Y\n",
       "Strategy         Ticker                      \n",
       "Commo Roll-yield SGICLMFV  0.537045  0.733342\n",
       "Commo Trend      SGIXTFCY -0.329353  0.048283\n",
       "Credit Short vol SGIMCESP -0.308817 -0.377703\n",
       "Credit Trend     SGIXGCM  -0.309004 -0.364754\n",
       "Defensive        SGBVPHLE  0.013125  0.361293\n",
       "                 SGBVPHQE  0.170590  0.545278\n",
       "                 SGSLQAE  -0.226886 -0.346204\n",
       "                 SGSLQAU  -0.169910 -0.203781\n",
       "                 SGSLQAW  -0.176810 -0.358769\n",
       "Div Roll yield   SGBVDRY   0.323195  0.314904"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>5Y</th>\n",
       "      <th>1Y</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Strategy</th>\n",
       "      <th>Ticker</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>VIX Roll yield</th>\n",
       "      <th>SGIXVIDC</th>\n",
       "      <td>0.201122</td>\n",
       "      <td>0.264023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"4\" valign=\"top\">Value</th>\n",
       "      <th>SGBVPHVE</th>\n",
       "      <td>0.225744</td>\n",
       "      <td>0.599609</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SGSLVAE</th>\n",
       "      <td>0.150723</td>\n",
       "      <td>0.413127</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SGSLVAU</th>\n",
       "      <td>0.171771</td>\n",
       "      <td>-0.410886</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SGSLVAW</th>\n",
       "      <td>0.031459</td>\n",
       "      <td>-0.061792</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">Value/Defensive</th>\n",
       "      <th>SGSLVQAE</th>\n",
       "      <td>-0.203975</td>\n",
       "      <td>-0.791955</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SGSLVQAU</th>\n",
       "      <td>0.004480</td>\n",
       "      <td>-0.284006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SGSLVQAW</th>\n",
       "      <td>-0.143451</td>\n",
       "      <td>-0.280947</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>XA7 Dual Mom</th>\n",
       "      <th>SGBVCADM</th>\n",
       "      <td>0.082067</td>\n",
       "      <td>0.478879</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>XA7 Trend</th>\n",
       "      <th>SGIXTFXA</th>\n",
       "      <td>-0.107391</td>\n",
       "      <td>0.281111</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                5Y        1Y\n",
       "Strategy        Ticker                      \n",
       "VIX Roll yield  SGIXVIDC  0.201122  0.264023\n",
       "Value           SGBVPHVE  0.225744  0.599609\n",
       "                SGSLVAE   0.150723  0.413127\n",
       "                SGSLVAU   0.171771 -0.410886\n",
       "                SGSLVAW   0.031459 -0.061792\n",
       "Value/Defensive SGSLVQAE -0.203975 -0.791955\n",
       "                SGSLVQAU  0.004480 -0.284006\n",
       "                SGSLVQAW -0.143451 -0.280947\n",
       "XA7 Dual Mom    SGBVCADM  0.082067  0.478879\n",
       "XA7 Trend       SGIXTFXA -0.107391  0.281111"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = hc.sample.df_two_idx_several_col()\n",
    "df.info()\n",
    "display(df.head(10))\n",
    "display(df.tail(10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div id=\"80847376_331f_4f8c_8853_008ac8246eb1container_chart\"></div><script>\n",
       "    // the Jupyter notebook loads jquery.min.js  and require.js and at the top of the page\n",
       "    // then to make jquery available inside a require module\n",
       "    // the trick is http://www.manuel-strehl.de/dev/load_jquery_before_requirejs.en.html\n",
       "    define('jquery', [], function() {\n",
       "        return jQuery;\n",
       "    });\n",
       "\n",
       "    // hardcoded var - temporary\n",
       "    require(['jquery', 'https://code.highcharts.com/stock/6.1.2/highstock.js', 'https://d3js.org/d3.v3.min.js'], function(jquery,\n",
       "                         Highcharts,\n",
       "                         d3\n",
       "                         ) {\n",
       "        // hardcoded var - temporary\n",
       "        require(['https://code.highcharts.com/stock/6.1.2/highcharts-more.js', 'https://code.highcharts.com/stock/6.1.2/modules/exporting.js', 'https://code.highcharts.com/stock/6.1.2/modules/offline-exporting.js', 'https://code.highcharts.com/stock/6.1.2/modules/export-data.js', 'https://code.highcharts.com/stock/6.1.2/modules/drilldown.js', 'https://code.highcharts.com/stock/6.1.2/modules/heatmap.js', 'https://code.highcharts.com/stock/6.1.2/modules/treemap.js', 'https://code.highcharts.com/stock/6.1.2/modules/sunburst.js', 'https://cdn.datatables.net/1.10.10/js/jquery.dataTables.min.js'], function(hcMore,\n",
       "                             exporting,\n",
       "                             offLineExporting,\n",
       "                             exportData,\n",
       "                             drilldown,\n",
       "                             heatmap,\n",
       "                             treemap,\n",
       "                             sunburst,\n",
       "                             dataTables,\n",
       "                             ) {\n",
       "            hcMore(Highcharts);\n",
       "            exporting(Highcharts);\n",
       "            offLineExporting(Highcharts);\n",
       "            exportData(Highcharts);\n",
       "            drilldown(Highcharts);\n",
       "            heatmap(Highcharts);\n",
       "            treemap(Highcharts);\n",
       "            sunburst(Highcharts);\n",
       "            \n",
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Carry\",\"pointPlacement\":\"on\"},{\"name\":\"FX MR\",\"y\":-0.3489653407,\"drilldown\":\"1Y-toplevel-FX MR\",\"pointPlacement\":\"on\"},{\"name\":\"FX Short vol\",\"y\":-0.5702311314,\"drilldown\":\"1Y-toplevel-FX Short vol\",\"pointPlacement\":\"on\"},{\"name\":\"FX Trend\",\"y\":-0.8060459799,\"drilldown\":\"1Y-toplevel-FX Trend\",\"pointPlacement\":\"on\"},{\"name\":\"IR Trend\",\"y\":0.2513637052,\"drilldown\":\"1Y-toplevel-IR Trend\",\"pointPlacement\":\"on\"},{\"name\":\"Momentum\",\"y\":-0.425368542,\"drilldown\":\"1Y-toplevel-Momentum\",\"pointPlacement\":\"on\"},{\"name\":\"Profitability\",\"y\":-0.7276744249,\"drilldown\":\"1Y-toplevel-Profitability\",\"pointPlacement\":\"on\"},{\"name\":\"Rates Carry\",\"y\":-0.9733422313,\"drilldown\":\"1Y-toplevel-Rates Carry\",\"pointPlacement\":\"on\"},{\"name\":\"Rates FRB\",\"y\":-1.4355780091,\"drilldown\":\"1Y-toplevel-Rates FRB\",\"pointPlacement\":\"on\"},{\"name\":\"Rates Roll-yield\",\"y\":-1.2186421781,\"drilldown\":\"1Y-toplevel-Rates Roll-yield\",\"pointPlacement\":\"on\"},{\"name\":\"Rates Short vol\",\"y\":0.1907465954,\"drilldown\":\"1Y-toplevel-Rates Short vol\",\"pointPlacement\":\"on\"},{\"name\":\"US MR\",\"y\":-0.6430975635,\"drilldown\":\"1Y-toplevel-US MR\",\"pointPlacement\":\"on\"},{\"name\":\"VIX Roll yield\",\"y\":0.8138130356,\"drilldown\":\"1Y-toplevel-VIX Roll yield\",\"pointPlacement\":\"on\"},{\"name\":\"Value\",\"y\":0.5400583246,\"drilldown\":\"1Y-toplevel-Value\",\"pointPlacement\":\"on\"},{\"name\":\"Value\\/Defensive\",\"y\":-1.3569076197,\"drilldown\":\"1Y-toplevel-Value\\/Defensive\",\"pointPlacement\":\"on\"},{\"name\":\"XA7 Dual Mom\",\"y\":0.4788789031,\"drilldown\":\"1Y-toplevel-XA7 Dual Mom\",\"pointPlacement\":\"on\"},{\"name\":\"XA7 Trend\",\"y\":0.2811105581,\"drilldown\":\"1Y-toplevel-XA7 Trend\",\"pointPlacement\":\"on\"}]}]}};\n",
       "    \n",
       "options = JSON.stringify(options);\n",
       "\n",
       "options = JSON.parse(options, function (key, value) {\n",
       "\n",
       "\tif (value && (typeof value === \"string\")) {\n",
       "\n",
       "\t\t\t\tvar check1 = (value.replace(/\\s+/g, '').replace(/\\r?\\n|\\r/g, '').substr(0, 8) == \"function\"),\n",
       "\t\t\tcheck2 = (value.replace(/\\s+/g, '').replace(/\\r?\\n|\\r/g, '').substr(0, 9) == \"(function\");\n",
       "\n",
       "\n",
       "\t\tif (check1) {\n",
       "\t\t\tvar startBody = value.indexOf('{') + 1;\n",
       "\t\t\tvar endBody = value.lastIndexOf('}');\n",
       "\t\t\tvar startArgs = value.indexOf('(') + 1;\n",
       "\t\t\tvar endArgs = value.indexOf(')');\n",
       "\n",
       "\t\t\treturn new Function(value.substring(startArgs, endArgs),\n",
       "\t\t\t\tvalue.substring(startBody, endBody));\n",
       "\t\t}\n",
       "\t\tif (check2) {\n",
       "\t\t\treturn eval(value);\n",
       "\t\t}\n",
       "\n",
       "\t}\n",
       "\n",
       "\treturn value;\n",
       "\n",
       "});\n",
       "    \n",
       "\n",
       "    var opt = $.extend(true, {}, options);\n",
       "    if (window.opts==undefined) {\n",
       "        window.opts = {};\n",
       "    }\n",
       "    window.opts['80847376_331f_4f8c_8853_008ac8246eb1'] = opt;\n",
       "\n",
       "    console.log('Highcharts/Highstock options accessible as opts[\"80847376_331f_4f8c_8853_008ac8246eb1\"]');\n",
       "    \n",
       "            \n",
       "            window.chart = new Highcharts.Chart(options);\n",
       "            \n",
       "    console.log('Highcharts/Highstock chart accessible as charts[\"80847376_331f_4f8c_8853_008ac8246eb1\"]');\n",
       "    \n",
       "        });\n",
       "    });\n",
       "    </script>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g = hc.Highcharts()\n",
    "\n",
    "# g.chart.type = 'column'\n",
    "g.chart.polar = True\n",
    "g.plotOptions.series.animation = True\n",
    "\n",
    "g.chart.width = 950\n",
    "g.chart.height = 700\n",
    "g.pane.size = '90%'\n",
    "\n",
    "g.title.text = 'Perf (%) Contrib by Strategy & Period'\n",
    "\n",
    "g.xAxis.type = 'category'\n",
    "g.xAxis.tickmarkPlacement = 'on'\n",
    "g.xAxis.lineWidth = 0\n",
    "\n",
    "g.yAxis.gridLineInterpolation = 'polygon'\n",
    "g.yAxis.lineWidth = 0\n",
    "g.yAxis.plotLines = [{'color': 'gray', 'value': 0, 'width': 1.5}]\n",
    "\n",
    "g.tooltip.pointFormat = '<span style=\"color:{series.color}\">{series.name}: <b>{point.y:,.3f}%</b><br/>'\n",
    "g.tooltip.shared = False\n",
    "\n",
    "g.legend.enabled = True\n",
    "g.legend.align = 'right'\n",
    "g.legend.verticalAlign = 'top'\n",
    "g.legend.y = 70\n",
    "g.legend.layout = 'vertical'\n",
    "\n",
    "# color names from http://www.w3schools.com/colors/colors_names.asp \n",
    "# color rgba() codes from http://www.hexcolortool.com/\n",
    "g.series, g.drilldown.series = hc.build.series_drilldown(df, colorByPoint=False,\n",
    "                                                         color={'5Y': 'indigo'},\n",
    "#                                                          color={'5Y': 'rgba(136, 110, 166, 1)'}\n",
    "                                                        )\n",
    "\n",
    "g.plot(save=True, save_name='ContribTable', version='6.1.2')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Box Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>A</th>\n",
       "      <td>760</td>\n",
       "      <td>801</td>\n",
       "      <td>848</td>\n",
       "      <td>895</td>\n",
       "      <td>965</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>B</th>\n",
       "      <td>733</td>\n",
       "      <td>853</td>\n",
       "      <td>939</td>\n",
       "      <td>980</td>\n",
       "      <td>1080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C</th>\n",
       "      <td>714</td>\n",
       "      <td>762</td>\n",
       "      <td>817</td>\n",
       "      <td>870</td>\n",
       "      <td>918</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D</th>\n",
       "      <td>724</td>\n",
       "      <td>802</td>\n",
       "      <td>806</td>\n",
       "      <td>871</td>\n",
       "      <td>950</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>E</th>\n",
       "      <td>834</td>\n",
       "      <td>836</td>\n",
       "      <td>864</td>\n",
       "      <td>882</td>\n",
       "      <td>910</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     0    1    2    3     4\n",
       "A  760  801  848  895   965\n",
       "B  733  853  939  980  1080\n",
       "C  714  762  817  870   918\n",
       "D  724  802  806  871   950\n",
       "E  834  836  864  882   910"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>644</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4</td>\n",
       "      <td>718</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4</td>\n",
       "      <td>951</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>969</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   0    1\n",
       "0  0  644\n",
       "1  4  718\n",
       "2  4  951\n",
       "3  4  969"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_obs = pd.DataFrame(data=np.array([[760, 801, 848, 895, 965],\n",
    "                                     [733, 853, 939, 980, 1080],\n",
    "                                     [714, 762, 817, 870, 918],\n",
    "                                     [724, 802, 806, 871, 950],\n",
    "                                     [834, 836, 864, 882, 910]]),\n",
    "                      index=list('ABCDE'))\n",
    "display(df_obs)\n",
    "\n",
    "# x, y positions where 0 is the first category\n",
    "df_outlier = pd.DataFrame(data=np.array([[0, 644],\n",
    "                                         [4, 718],\n",
    "                                         [4, 951],\n",
    "                                         [4, 969]]))\n",
    "\n",
    "\n",
    "display(df_outlier)\n",
    "\n",
    "colors = ['#7cb5ec', '#434348', '#90ed7d', '#f7a35c', '#8085e9',\n",
    "          '#f15c80', '#e4d354', '#2b908f', '#f45b5b', '#91e8e1']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div id=\"ba9c42cc_5290_407f_84af_89aab53066c9container_chart\"></div><script>\n",
       "    // the Jupyter notebook loads jquery.min.js  and require.js and at the top of the page\n",
       "    // then to make jquery available inside a require module\n",
       "    // the trick is http://www.manuel-strehl.de/dev/load_jquery_before_requirejs.en.html\n",
       "    define('jquery', [], function() {\n",
       "        return jQuery;\n",
       "    });\n",
       "\n",
       "    // hardcoded var - temporary\n",
       "    require(['jquery', 'https://code.highcharts.com/stock/6.1.2/highstock.js', 'https://d3js.org/d3.v3.min.js'], function(jquery,\n",
       "                         Highcharts,\n",
       "                         d3\n",
       "                         ) {\n",
       "        // hardcoded var - temporary\n",
       "        require(['https://code.highcharts.com/stock/6.1.2/highcharts-more.js', 'https://code.highcharts.com/stock/6.1.2/modules/exporting.js', 'https://code.highcharts.com/stock/6.1.2/modules/offline-exporting.js', 'https://code.highcharts.com/stock/6.1.2/modules/export-data.js', 'https://code.highcharts.com/stock/6.1.2/modules/drilldown.js', 'https://code.highcharts.com/stock/6.1.2/modules/heatmap.js', 'https://code.highcharts.com/stock/6.1.2/modules/treemap.js', 'https://code.highcharts.com/stock/6.1.2/modules/sunburst.js', 'https://cdn.datatables.net/1.10.10/js/jquery.dataTables.min.js'], function(hcMore,\n",
       "                             exporting,\n",
       "                             offLineExporting,\n",
       "                             exportData,\n",
       "                             drilldown,\n",
       "                             heatmap,\n",
       "                             treemap,\n",
       "                             sunburst,\n",
       "                             dataTables,\n",
       "                             ) {\n",
       "            hcMore(Highcharts);\n",
       "            exporting(Highcharts);\n",
       "            offLineExporting(Highcharts);\n",
       "            exportData(Highcharts);\n",
       "            drilldown(Highcharts);\n",
       "            heatmap(Highcharts);\n",
       "            treemap(Highcharts);\n",
       "            sunburst(Highcharts);\n",
       "            \n",
       "    var options = {\"credits\":{\"enabled\":false},\"exporting\":{\"enabled\":true},\"chart\":{\"animation\":false,\"type\":\"boxplot\",\"width\":850,\"height\":500,\"renderTo\":\"ba9c42cc_5290_407f_84af_89aab53066c9container_chart\"},\"series\":[{\"name\":\"Observations\",\"data\":[[760,801,848,895,965],[733,853,939,980,1080],[714,762,817,870,918],[724,802,806,871,950],[834,836,864,882,910]],\"tooltip\":{\"headerFormat\":\"<em>Experiment No {point.key}<\\/em><br\\/>\"}},{\"name\":\"Outlier\",\"color\":\"#7cb5ec\",\"type\":\"scatter\",\"data\":[[0,644],[4,718],[4,951],[4,969]],\"marker\":{\"fillColor\":\"white\",\"lineWidth\":1,\"lineColor\":\"#7cb5ec\"},\"tooltip\":{\"pointFormat\":\"Observation: {point.y}\"}}],\"plotOptions\":{\"series\":{\"animation\":false},\"line\":{\"animation\":false},\"column\":{\"animation\":false},\"bar\":{\"animation\":false},\"pie\":{\"animation\":false},\"scatter\":{\"animation\":false},\"bubble\":{\"animation\":false},\"treemap\":{\"animation\":false}},\"title\":{\"text\":\"Box Plot Example\"},\"legend\":{\"enabled\":false},\"xAxis\":{\"categories\":[\"A\",\"B\",\"C\",\"D\",\"E\"],\"title\":{\"text\":\"Experiment\"}},\"yAxis\":{\"title\":{\"text\":\"Observations\"},\"plotLines\":[{\"value\":932,\"color\":\"red\",\"width\":1,\"label\":{\"text\":\"Theoretical mean: 932\",\"align\":\"center\",\"style\":{\"color\":\"gray\"}}}]}};\n",
       "    \n",
       "options = JSON.stringify(options);\n",
       "\n",
       "options = JSON.parse(options, function (key, value) {\n",
       "\n",
       "\tif (value && (typeof value === \"string\")) {\n",
       "\n",
       "\t\t\t\tvar check1 = (value.replace(/\\s+/g, '').replace(/\\r?\\n|\\r/g, '').substr(0, 8) == \"function\"),\n",
       "\t\t\tcheck2 = (value.replace(/\\s+/g, '').replace(/\\r?\\n|\\r/g, '').substr(0, 9) == \"(function\");\n",
       "\n",
       "\n",
       "\t\tif (check1) {\n",
       "\t\t\tvar startBody = value.indexOf('{') + 1;\n",
       "\t\t\tvar endBody = value.lastIndexOf('}');\n",
       "\t\t\tvar startArgs = value.indexOf('(') + 1;\n",
       "\t\t\tvar endArgs = value.indexOf(')');\n",
       "\n",
       "\t\t\treturn new Function(value.substring(startArgs, endArgs),\n",
       "\t\t\t\tvalue.substring(startBody, endBody));\n",
       "\t\t}\n",
       "\t\tif (check2) {\n",
       "\t\t\treturn eval(value);\n",
       "\t\t}\n",
       "\n",
       "\t}\n",
       "\n",
       "\treturn value;\n",
       "\n",
       "});\n",
       "    \n",
       "\n",
       "    var opt = $.extend(true, {}, options);\n",
       "    if (window.opts==undefined) {\n",
       "        window.opts = {};\n",
       "    }\n",
       "    window.opts['ba9c42cc_5290_407f_84af_89aab53066c9'] = opt;\n",
       "\n",
       "    console.log('Highcharts/Highstock options accessible as opts[\"ba9c42cc_5290_407f_84af_89aab53066c9\"]');\n",
       "    \n",
       "            \n",
       "            window.chart = new Highcharts.Chart(options);\n",
       "            \n",
       "    console.log('Highcharts/Highstock chart accessible as charts[\"ba9c42cc_5290_407f_84af_89aab53066c9\"]');\n",
       "    \n",
       "        });\n",
       "    });\n",
       "    </script>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g = hc.Highcharts()\n",
    "\n",
    "g.chart.type = 'boxplot'\n",
    "g.chart.width = 850\n",
    "g.chart.height = 500\n",
    "\n",
    "g.title.text = 'Box Plot Example'\n",
    "\n",
    "g.legend.enabled = False\n",
    "\n",
    "g.xAxis.categories = list(df_obs.index)\n",
    "g.xAxis.title.text = 'Experiment'\n",
    "\n",
    "g.yAxis.title.text = 'Observations'\n",
    "g.yAxis.plotLines= [{\n",
    "    'value': 932,\n",
    "    'color': 'red',\n",
    "    'width': 1,\n",
    "    'label': {\n",
    "        'text': 'Theoretical mean: 932',\n",
    "        'align': 'center',\n",
    "        'style': { 'color': 'gray' }\n",
    "    }\n",
    "}]\n",
    "\n",
    "g.series = []\n",
    "g.series.append({\n",
    "    'name': 'Observations',\n",
    "    'data': list(df_obs.values),\n",
    "    'tooltip': { 'headerFormat': '<em>Experiment No {point.key}</em><br/>' },\n",
    "})\n",
    "g.series.append({\n",
    "    'name': 'Outlier',\n",
    "    'color': colors[0],\n",
    "    'type': 'scatter',\n",
    "    'data': list(df_outlier.values),\n",
    "    'marker': {\n",
    "        'fillColor': 'white',\n",
    "        'lineWidth': 1,\n",
    "        'lineColor': colors[0],\n",
    "    },\n",
    "    'tooltip': { 'pointFormat': 'Observation: {point.y}' }\n",
    "})\n",
    "\n",
    "g.plot(version='6.1.2')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Heatmap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Alexander</th>\n",
       "      <th>Marie</th>\n",
       "      <th>Maximilian</th>\n",
       "      <th>Sophia</th>\n",
       "      <th>Lukas</th>\n",
       "      <th>Maria</th>\n",
       "      <th>Leon</th>\n",
       "      <th>Anna</th>\n",
       "      <th>Tim</th>\n",
       "      <th>Laura</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WeekDay</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Monday</th>\n",
       "      <td>10</td>\n",
       "      <td>92</td>\n",
       "      <td>35</td>\n",
       "      <td>72</td>\n",
       "      <td>38</td>\n",
       "      <td>88</td>\n",
       "      <td>13</td>\n",
       "      <td>31</td>\n",
       "      <td>85</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tuesday</th>\n",
       "      <td>19</td>\n",
       "      <td>58</td>\n",
       "      <td>15</td>\n",
       "      <td>132</td>\n",
       "      <td>5</td>\n",
       "      <td>32</td>\n",
       "      <td>44</td>\n",
       "      <td>1</td>\n",
       "      <td>97</td>\n",
       "      <td>114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wednesday</th>\n",
       "      <td>8</td>\n",
       "      <td>78</td>\n",
       "      <td>123</td>\n",
       "      <td>114</td>\n",
       "      <td>8</td>\n",
       "      <td>12</td>\n",
       "      <td>88</td>\n",
       "      <td>82</td>\n",
       "      <td>123</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thursday</th>\n",
       "      <td>24</td>\n",
       "      <td>117</td>\n",
       "      <td>64</td>\n",
       "      <td>19</td>\n",
       "      <td>117</td>\n",
       "      <td>6</td>\n",
       "      <td>98</td>\n",
       "      <td>32</td>\n",
       "      <td>64</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Friday</th>\n",
       "      <td>67</td>\n",
       "      <td>48</td>\n",
       "      <td>52</td>\n",
       "      <td>16</td>\n",
       "      <td>115</td>\n",
       "      <td>120</td>\n",
       "      <td>96</td>\n",
       "      <td>30</td>\n",
       "      <td>84</td>\n",
       "      <td>91</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Alexander  Marie  Maximilian  Sophia  Lukas  Maria  Leon  Anna  \\\n",
       "WeekDay                                                                     \n",
       "Monday            10     92          35      72     38     88    13    31   \n",
       "Tuesday           19     58          15     132      5     32    44     1   \n",
       "Wednesday          8     78         123     114      8     12    88    82   \n",
       "Thursday          24    117          64      19    117      6    98    32   \n",
       "Friday            67     48          52      16    115    120    96    30   \n",
       "\n",
       "           Tim  Laura  \n",
       "WeekDay                \n",
       "Monday      85     47  \n",
       "Tuesday     97    114  \n",
       "Wednesday  123     31  \n",
       "Thursday    64     48  \n",
       "Friday      84     91  "
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = hc.sample.df_one_idx_several_col_2()\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div id=\"cdc82d7f_1c0a_4842_a490_b00334a4c18acontainer_chart\"></div><script>\n",
       "    // the Jupyter notebook loads jquery.min.js  and require.js and at the top of the page\n",
       "    // then to make jquery available inside a require module\n",
       "    // the trick is http://www.manuel-strehl.de/dev/load_jquery_before_requirejs.en.html\n",
       "    define('jquery', [], function() {\n",
       "        return jQuery;\n",
       "    });\n",
       "\n",
       "    // hardcoded var - temporary\n",
       "    require(['jquery', 'https://code.highcharts.com/stock/6.1.2/highstock.js', 'https://d3js.org/d3.v3.min.js'], function(jquery,\n",
       "                         Highcharts,\n",
       "                         d3\n",
       "                         ) {\n",
       "        // hardcoded var - temporary\n",
       "        require(['https://code.highcharts.com/stock/6.1.2/highcharts-more.js', 'https://code.highcharts.com/stock/6.1.2/modules/exporting.js', 'https://code.highcharts.com/stock/6.1.2/modules/offline-exporting.js', 'https://code.highcharts.com/stock/6.1.2/modules/export-data.js', 'https://code.highcharts.com/stock/6.1.2/modules/drilldown.js', 'https://code.highcharts.com/stock/6.1.2/modules/heatmap.js', 'https://code.highcharts.com/stock/6.1.2/modules/treemap.js', 'https://code.highcharts.com/stock/6.1.2/modules/sunburst.js', 'https://cdn.datatables.net/1.10.10/js/jquery.dataTables.min.js'], function(hcMore,\n",
       "                             exporting,\n",
       "                             offLineExporting,\n",
       "                             exportData,\n",
       "                             drilldown,\n",
       "                             heatmap,\n",
       "                             treemap,\n",
       "                             sunburst,\n",
       "                             dataTables,\n",
       "                             ) {\n",
       "            hcMore(Highcharts);\n",
       "            exporting(Highcharts);\n",
       "            offLineExporting(Highcharts);\n",
       "            exportData(Highcharts);\n",
       "            drilldown(Highcharts);\n",
       "            heatmap(Highcharts);\n",
       "            treemap(Highcharts);\n",
       "            sunburst(Highcharts);\n",
       "            \n",
       "    var options = {\"credits\":{\"enabled\":false},\"exporting\":{\"enabled\":true},\"chart\":{\"animation\":false,\"type\":\"heatmap\",\"width\":650,\"height\":450,\"renderTo\":\"cdc82d7f_1c0a_4842_a490_b00334a4c18acontainer_chart\"},\"series\":[{\"name\":\"Sales per Employee\",\"borderWidth\":1,\"data\":[[0,0,10],[1,0,92],[2,0,35],[3,0,72],[4,0,38],[5,0,88],[6,0,13],[7,0,31],[8,0,85],[9,0,47],[0,1,19],[1,1,58],[2,1,15],[3,1,132],[4,1,5],[5,1,32],[6,1,44],[7,1,1],[8,1,97],[9,1,114],[0,2,8],[1,2,78],[2,2,123],[3,2,114],[4,2,8],[5,2,12],[6,2,88],[7,2,82],[8,2,123],[9,2,31],[0,3,24],[1,3,117],[2,3,64],[3,3,19],[4,3,117],[5,3,6],[6,3,98],[7,3,32],[8,3,64],[9,3,48],[0,4,67],[1,4,48],[2,4,52],[3,4,16],[4,4,115],[5,4,120],[6,4,96],[7,4,30],[8,4,84],[9,4,91]],\"dataLabels\":{\"enabled\":true,\"color\":\"#000000\"}}],\"plotOptions\":{\"series\":{\"animation\":false},\"line\":{\"animation\":false},\"column\":{\"animation\":false},\"bar\":{\"animation\":false},\"pie\":{\"animation\":false},\"scatter\":{\"animation\":false},\"bubble\":{\"animation\":false},\"treemap\":{\"animation\":false}},\"title\":{\"text\":\"Sales per employee per weekday\"},\"xAxis\":{\"categories\":[\"Alexander\",\"Marie\",\"Maximilian\",\"Sophia\",\"Lukas\",\"Maria\",\"Leon\",\"Anna\",\"Tim\",\"Laura\"]},\"yAxis\":{\"categories\":[\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\"],\"title\":\"\"},\"colorAxis\":{\"min\":0,\"minColor\":\"#FFFFFF\",\"maxColor\":\"#7cb5ec\"},\"legend\":{\"align\":\"right\",\"layout\":\"vertical\",\"margin\":0,\"verticalAlign\":\"top\",\"y\":25,\"symbolHeight\":280},\"tooltip\":{\"formatter\":\"function () {\\n    return '<b>' + this.series.xAxis.categories[this.point.x] + '<\\/b> sold <br><b>' +\\n        this.point.value + '<\\/b> items on <br><b>' + this.series.yAxis.categories[this.point.y] + '<\\/b>';\\n    }\"}};\n",
       "    \n",
       "options = JSON.stringify(options);\n",
       "\n",
       "options = JSON.parse(options, function (key, value) {\n",
       "\n",
       "\tif (value && (typeof value === \"string\")) {\n",
       "\n",
       "\t\t\t\tvar check1 = (value.replace(/\\s+/g, '').replace(/\\r?\\n|\\r/g, '').substr(0, 8) == \"function\"),\n",
       "\t\t\tcheck2 = (value.replace(/\\s+/g, '').replace(/\\r?\\n|\\r/g, '').substr(0, 9) == \"(function\");\n",
       "\n",
       "\n",
       "\t\tif (check1) {\n",
       "\t\t\tvar startBody = value.indexOf('{') + 1;\n",
       "\t\t\tvar endBody = value.lastIndexOf('}');\n",
       "\t\t\tvar startArgs = value.indexOf('(') + 1;\n",
       "\t\t\tvar endArgs = value.indexOf(')');\n",
       "\n",
       "\t\t\treturn new Function(value.substring(startArgs, endArgs),\n",
       "\t\t\t\tvalue.substring(startBody, endBody));\n",
       "\t\t}\n",
       "\t\tif (check2) {\n",
       "\t\t\treturn eval(value);\n",
       "\t\t}\n",
       "\n",
       "\t}\n",
       "\n",
       "\treturn value;\n",
       "\n",
       "});\n",
       "    \n",
       "\n",
       "    var opt = $.extend(true, {}, options);\n",
       "    if (window.opts==undefined) {\n",
       "        window.opts = {};\n",
       "    }\n",
       "    window.opts['cdc82d7f_1c0a_4842_a490_b00334a4c18a'] = opt;\n",
       "\n",
       "    console.log('Highcharts/Highstock options accessible as opts[\"cdc82d7f_1c0a_4842_a490_b00334a4c18a\"]');\n",
       "    \n",
       "            \n",
       "            window.chart = new Highcharts.Chart(options);\n",
       "            \n",
       "    console.log('Highcharts/Highstock chart accessible as charts[\"cdc82d7f_1c0a_4842_a490_b00334a4c18a\"]');\n",
       "    \n",
       "        });\n",
       "    });\n",
       "    </script>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "colors = ['#7cb5ec', '#434348', '#90ed7d', '#f7a35c', '#8085e9',\n",
    "          '#f15c80', '#e4d354', '#2b908f', '#f45b5b', '#91e8e1']\n",
    "idx, col, data = hc.build.series_heatmap(df)\n",
    "\n",
    "g = hc.Highcharts()\n",
    "\n",
    "g.chart.type = 'heatmap'\n",
    "g.chart.width = 650\n",
    "g.chart.height = 450\n",
    "\n",
    "g.title.text = 'Sales per employee per weekday'\n",
    "\n",
    "g.xAxis.categories = idx\n",
    "g.yAxis.categories = col\n",
    "g.yAxis.title = ''\n",
    "\n",
    "\n",
    "g.colorAxis = {\n",
    "    'min': 0,\n",
    "    'minColor': '#FFFFFF',\n",
    "    'maxColor': colors[0],\n",
    "}\n",
    "\n",
    "g.legend = {\n",
    "    'align': 'right',\n",
    "    'layout': 'vertical',\n",
    "    'margin': 0,\n",
    "    'verticalAlign': 'top',\n",
    "    'y': 25,\n",
    "    'symbolHeight': 280 \n",
    "}\n",
    "\n",
    "g.tooltip = {\n",
    "    'formatter': \"\"\"function () {\n",
    "    return '<b>' + this.series.xAxis.categories[this.point.x] + '</b> sold <br><b>' +\n",
    "        this.point.value + '</b> items on <br><b>' + this.series.yAxis.categories[this.point.y] + '</b>';\n",
    "    }\"\"\"\n",
    "}\n",
    "\n",
    "g.series = []\n",
    "g.series.append({\n",
    "    'name': 'Sales per Employee',\n",
    "    'borderWidth': 1,\n",
    "    'data': data,\n",
    "    'dataLabels': {\n",
    "            'enabled': True,\n",
    "            'color': '#000000',\n",
    "    }\n",
    "})\n",
    "\n",
    "g.plot(version='6.1.2')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "# Direct access to Highcharts/Highstock documentation\n",
    "+ Navigate the object property tree\n",
    "+ An `info()` method gives the official help\n",
    "+ WARNING: Once a property is set, the info method is not accessible any more"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "g = hc.Highcharts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<h4> Documentation for 'yAxis' </h4><br><li>Description </li><p>The Y axis or value axis. Normally this is the vertical axis, though if the \r\n",
       "\tchart is inverted this is the horizontal axis. In case of multiple axes, the yAxis\r\n",
       "\tnode is an array of configuration objects.</p>\r\n",
       "\t<p>See <a class=\"internal\" href=\"https://api.highcharts.com/highcharts#axis.object\">the Axis object</a> for programmatic\r\n",
       "\taccess to the axis.</p><br><br>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<h4> Documentation for 'yAxis.labels.format' </h4><br><li>Description </li>A <a href=\"http://www.highcharts.com/docs/chart-concepts/labels-and-string-formatting\">format string</a> for the axis label. <br><br><li>Demo</li> <a href=\"http://jsfiddle.net/gh/get/jquery/1.7.2/highslide-software/highcharts.com/tree/master/samples/highcharts/yaxis/labels-format/\" target=\"_blank\">Add units to Y axis label</a><br>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "g.yAxis.info()\n",
    "g.yAxis.labels.format.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "g = hc.Highstock()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<h4> Documentation for 'plotOptions' </h4><br><li>Description </li><p>The plotOptions is a wrapper object for config objects for each series type.\n",
       "\t\tThe config objects for each series can also be overridden for each series \n",
       "\t\titem as given in the series array.</p>\n",
       "\t\t<p>Configuration options for the series are given in three levels. Options\n",
       "\t\tfor all series in a chart are given in the <a class=\"internal\" href=\"https://api.highcharts.com/highstock#plotOptions.series\">plotOptions.series</a> object. Then options for all series\n",
       "\t\tof a specific type are given in the plotOptions of that type, for example plotOptions.line.\n",
       "\t\tNext, options for one single series are given in <a class=\"internal\" href=\"https://api.highcharts.com/highstock#series\">the \n",
       "\t\tseries array</a>.</p><br><br>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "g.plotOptions.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "g = hc.Highcharts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<h4> Documentation for 'legend.align' </h4><br><li>Description </li>The horizontal alignment of the legend box within the chart area. Valid values are <code>\"left\"</code>, <code>\"center\"</code> and <code>\"right\"</code>.<br><br><li>Demo</li> <a href=\"http://jsfiddle.net/gh/get/jquery/1.7.2/highslide-software/highcharts.com/tree/master/samples/highcharts/legend/align/\" target=\"_blank\">Legend at the right of the chart</a><br>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "g.legend.align.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "py37",
   "language": "python",
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.10"
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