docs/examples/cookbook_template.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "accompanied-pakistan",
   "metadata": {},
   "source": [
    "# Plotting Points\n",
    "\n",
    "\n",
    "`geomPoint()` draws markers on a scatter plot using different colors, shapes and sizes of markers."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "negative-jonathan",
   "metadata": {},
   "source": [
    "*[Optional Table of Contents]*\n",
    "\n",
    "1. [`color` and `size`](#color)\n",
    "2. [`shape`](#shape)  \n",
    " 2.1 [Switching to Hollow Shapes](#hollow-shape)\n",
    " \n",
    "3. [Usage with GeoTools](#geotools)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "after-treasurer",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "   <div id=\"eXnylm\"></div>\n",
       "   <script type=\"text/javascript\" data-lets-plot-script=\"library\">\n",
       "       if(!window.letsPlotCallQueue) {\n",
       "           window.letsPlotCallQueue = [];\n",
       "       }; \n",
       "       window.letsPlotCall = function(f) {\n",
       "           window.letsPlotCallQueue.push(f);\n",
       "       };\n",
       "       (function() {\n",
       "           var script = document.createElement(\"script\");\n",
       "           script.type = \"text/javascript\";\n",
       "           script.src = \"https://cdn.jsdelivr.net/gh/JetBrains/lets-plot@v3.2.0/js-package/distr/lets-plot.min.js\";\n",
       "           script.onload = function() {\n",
       "               window.letsPlotCall = function(f) {f();};\n",
       "               window.letsPlotCallQueue.forEach(function(f) {f();});\n",
       "               window.letsPlotCallQueue = [];\n",
       "               \n",
       "               \n",
       "           };\n",
       "           script.onerror = function(event) {\n",
       "               window.letsPlotCall = function(f) {};\n",
       "               window.letsPlotCallQueue = [];\n",
       "               var div = document.createElement(\"div\");\n",
       "               div.style.color = 'darkred';\n",
       "               div.textContent = 'Error loading Lets-Plot JS';\n",
       "               document.getElementById(\"eXnylm\").appendChild(div);\n",
       "           };\n",
       "           var e = document.getElementById(\"eXnylm\");\n",
       "           e.appendChild(script);\n",
       "       })();\n",
       "   </script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%useLatestDescriptors\n",
    "%use lets-plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "computational-latex",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Lets-Plot Kotlin API v.4.4.1. Frontend: Notebook with dynamically loaded JS. Lets-Plot JS v.3.2.0."
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "LetsPlot.getInfo()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "heavy-vienna",
   "metadata": {},
   "source": [
    "> *For demo, if possible, use standard data from [lets-plot-docs](https://github.com/JetBrains/lets-plot-docs/tree/master/data) repository.*\n",
    ">\n",
    "> *For example:*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "sharing-titanium",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "            <div id=\"kotlin_out_0\"/>\n",
       "            <script type=\"text/javascript\">\n",
       "                            if(!window.kotlinQueues) {\n",
       "                window.kotlinQueues = {};\n",
       "            }\n",
       "            if(!window.kotlinQueues[\"DataFrame\"]) {\n",
       "                var resQueue = [];\n",
       "                window.kotlinQueues[\"DataFrame\"] = resQueue;\n",
       "                window[\"call_DataFrame\"] = function(f) {\n",
       "                    resQueue.push(f);\n",
       "                }\n",
       "            }\n",
       "            (function (){\n",
       "                var modifiers = [(function(script) {\n",
       "    script.src = \"https://cdn.jsdelivr.net/gh/Kotlin/dataframe@3db46ccccaa1291c0627307d64133317f545e6ae/core/src/main/resources/init.js\"\n",
       "    script.type = \"text/javascript\";\n",
       "})];\n",
       "                var e = document.getElementById(\"kotlin_out_0\");\n",
       "                modifiers.forEach(function (gen) {\n",
       "                    var script = document.createElement(\"script\");\n",
       "                    gen(script)\n",
       "                    script.addEventListener(\"load\", function() {\n",
       "                        window[\"call_DataFrame\"] = function(f) {f();};\n",
       "                        window.kotlinQueues[\"DataFrame\"].forEach(function(f) {f();});\n",
       "                        window.kotlinQueues[\"DataFrame\"] = [];\n",
       "                    }, false);\n",
       "                    script.addEventListener(\"error\", function() {\n",
       "                        window[\"call_DataFrame\"] = function(f) {};\n",
       "                        window.kotlinQueues[\"DataFrame\"] = [];\n",
       "                        var div = document.createElement(\"div\");\n",
       "                        div.style.color = 'darkred';\n",
       "                        div.textContent = 'Error loading resource DataFrame';\n",
       "                        document.getElementById(\"kotlin_out_0\").appendChild(div);\n",
       "                    }, false);\n",
       "                    \n",
       "                    e.appendChild(script);\n",
       "                });\n",
       "            })();\n",
       "            </script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "                <style>\n",
       "                :root {\n",
       "    --background: #fff;\n",
       "    --background-odd: #f5f5f5;\n",
       "    --background-hover: #d9edfd;\n",
       "    --header-text-color: #474747;\n",
       "    --text-color: #848484;\n",
       "    --text-color-dark: #000;\n",
       "    --text-color-medium: #737373;\n",
       "    --text-color-pale: #b3b3b3;\n",
       "    --inner-border-color: #aaa;\n",
       "    --bold-border-color: #000;\n",
       "    --link-color: #296eaa;\n",
       "    --link-color-pale: #296eaa;\n",
       "    --link-hover: #1a466c;\n",
       "}\n",
       "\n",
       ":root[theme=\"dark\"], :root [data-jp-theme-light=\"false\"], .dataframe_dark{\n",
       "    --background: #303030;\n",
       "    --background-odd: #3c3c3c;\n",
       "    --background-hover: #464646;\n",
       "    --header-text-color: #dddddd;\n",
       "    --text-color: #b3b3b3;\n",
       "    --text-color-dark: #dddddd;\n",
       "    --text-color-medium: #b2b2b2;\n",
       "    --text-color-pale: #737373;\n",
       "    --inner-border-color: #707070;\n",
       "    --bold-border-color: #777777;\n",
       "    --link-color: #008dc0;\n",
       "    --link-color-pale: #97e1fb;\n",
       "    --link-hover: #00688e;\n",
       "}\n",
       "\n",
       "p.dataframe_description {\n",
       "    color: var(--text-color-dark);\n",
       "}\n",
       "\n",
       "table.dataframe {\n",
       "    font-family: \"Helvetica Neue\", Helvetica, Arial, sans-serif;\n",
       "    font-size: 12px;\n",
       "    background-color: var(--background);\n",
       "    color: var(--text-color-dark);\n",
       "    border: none;\n",
       "    border-collapse: collapse;\n",
       "}\n",
       "\n",
       "table.dataframe th, td {\n",
       "    padding: 6px;\n",
       "    border: 1px solid transparent;\n",
       "    text-align: left;\n",
       "}\n",
       "\n",
       "table.dataframe th {\n",
       "    background-color: var(--background);\n",
       "    color: var(--header-text-color);\n",
       "}\n",
       "\n",
       "table.dataframe td {\n",
       "    vertical-align: top;\n",
       "}\n",
       "\n",
       "table.dataframe th.bottomBorder {\n",
       "    border-bottom-color: var(--bold-border-color);\n",
       "}\n",
       "\n",
       "table.dataframe tbody > tr:nth-child(odd) {\n",
       "    background: var(--background-odd);\n",
       "}\n",
       "\n",
       "table.dataframe tbody > tr:nth-child(even) {\n",
       "    background: var(--background);\n",
       "}\n",
       "\n",
       "table.dataframe tbody > tr:hover {\n",
       "    background: var(--background-hover);\n",
       "}\n",
       "\n",
       "table.dataframe a {\n",
       "    cursor: pointer;\n",
       "    color: var(--link-color);\n",
       "    text-decoration: none;\n",
       "}\n",
       "\n",
       "table.dataframe tr:hover > td a {\n",
       "    color: var(--link-color-pale);\n",
       "}\n",
       "\n",
       "table.dataframe a:hover {\n",
       "    color: var(--link-hover);\n",
       "    text-decoration: underline;\n",
       "}\n",
       "\n",
       "table.dataframe img {\n",
       "    max-width: fit-content;\n",
       "}\n",
       "\n",
       "table.dataframe th.complex {\n",
       "    background-color: var(--background);\n",
       "    border: 1px solid var(--background);\n",
       "}\n",
       "\n",
       "table.dataframe .leftBorder {\n",
       "    border-left-color: var(--inner-border-color);\n",
       "}\n",
       "\n",
       "table.dataframe .rightBorder {\n",
       "    border-right-color: var(--inner-border-color);\n",
       "}\n",
       "\n",
       "table.dataframe .rightAlign {\n",
       "    text-align: right;\n",
       "}\n",
       "\n",
       "table.dataframe .expanderSvg {\n",
       "    width: 8px;\n",
       "    height: 8px;\n",
       "    margin-right: 3px;\n",
       "}\n",
       "\n",
       "table.dataframe .expander {\n",
       "    display: flex;\n",
       "    align-items: center;\n",
       "}\n",
       "\n",
       "/* formatting */\n",
       "\n",
       "table.dataframe .null {\n",
       "    color: var(--text-color-pale);\n",
       "}\n",
       "\n",
       "table.dataframe .structural {\n",
       "    color: var(--text-color-medium);\n",
       "    font-weight: bold;\n",
       "}\n",
       "\n",
       "table.dataframe .dataFrameCaption {\n",
       "    font-weight: bold;\n",
       "}\n",
       "\n",
       "table.dataframe .numbers {\n",
       "    color: var(--text-color-dark);\n",
       "}\n",
       "\n",
       "table.dataframe td:hover .formatted .structural, .null {\n",
       "    color: var(--text-color-dark);\n",
       "}\n",
       "\n",
       "table.dataframe tr:hover .formatted .structural, .null {\n",
       "    color: var(--text-color-dark);\n",
       "}\n",
       "\n",
       "\n",
       "                </style>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%use dataframe\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "hungarian-detroit",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/kotlindataframe+json": "{\"nrow\":3,\"ncol\":12,\"columns\":[\"untitled\",\"manufacturer\",\"model\",\"displ\",\"year\",\"cyl\",\"trans\",\"drv\",\"cty\",\"hwy\",\"fl\",\"class\"],\"kotlin_dataframe\":[{\"untitled\":1,\"manufacturer\":\"audi\",\"model\":\"a4\",\"displ\":1.8,\"year\":1999,\"cyl\":4,\"trans\":\"auto(l5)\",\"drv\":\"f\",\"cty\":18,\"hwy\":29,\"fl\":\"p\",\"class\":\"compact\"},{\"untitled\":2,\"manufacturer\":\"audi\",\"model\":\"a4\",\"displ\":1.8,\"year\":1999,\"cyl\":4,\"trans\":\"manual(m5)\",\"drv\":\"f\",\"cty\":21,\"hwy\":29,\"fl\":\"p\",\"class\":\"compact\"},{\"untitled\":3,\"manufacturer\":\"audi\",\"model\":\"a4\",\"displ\":2.0,\"year\":2008,\"cyl\":4,\"trans\":\"manual(m6)\",\"drv\":\"f\",\"cty\":20,\"hwy\":31,\"fl\":\"p\",\"class\":\"compact\"}]}",
      "text/html": [
       "        <html>\n",
       "        <head>\n",
       "            <style type=\"text/css\">\n",
       "                :root {\n",
       "    --background: #fff;\n",
       "    --background-odd: #f5f5f5;\n",
       "    --background-hover: #d9edfd;\n",
       "    --header-text-color: #474747;\n",
       "    --text-color: #848484;\n",
       "    --text-color-dark: #000;\n",
       "    --text-color-medium: #737373;\n",
       "    --text-color-pale: #b3b3b3;\n",
       "    --inner-border-color: #aaa;\n",
       "    --bold-border-color: #000;\n",
       "    --link-color: #296eaa;\n",
       "    --link-color-pale: #296eaa;\n",
       "    --link-hover: #1a466c;\n",
       "}\n",
       "\n",
       ":root[theme=\"dark\"], :root [data-jp-theme-light=\"false\"], .dataframe_dark{\n",
       "    --background: #303030;\n",
       "    --background-odd: #3c3c3c;\n",
       "    --background-hover: #464646;\n",
       "    --header-text-color: #dddddd;\n",
       "    --text-color: #b3b3b3;\n",
       "    --text-color-dark: #dddddd;\n",
       "    --text-color-medium: #b2b2b2;\n",
       "    --text-color-pale: #737373;\n",
       "    --inner-border-color: #707070;\n",
       "    --bold-border-color: #777777;\n",
       "    --link-color: #008dc0;\n",
       "    --link-color-pale: #97e1fb;\n",
       "    --link-hover: #00688e;\n",
       "}\n",
       "\n",
       "p.dataframe_description {\n",
       "    color: var(--text-color-dark);\n",
       "}\n",
       "\n",
       "table.dataframe {\n",
       "    font-family: \"Helvetica Neue\", Helvetica, Arial, sans-serif;\n",
       "    font-size: 12px;\n",
       "    background-color: var(--background);\n",
       "    color: var(--text-color-dark);\n",
       "    border: none;\n",
       "    border-collapse: collapse;\n",
       "}\n",
       "\n",
       "table.dataframe th, td {\n",
       "    padding: 6px;\n",
       "    border: 1px solid transparent;\n",
       "    text-align: left;\n",
       "}\n",
       "\n",
       "table.dataframe th {\n",
       "    background-color: var(--background);\n",
       "    color: var(--header-text-color);\n",
       "}\n",
       "\n",
       "table.dataframe td {\n",
       "    vertical-align: top;\n",
       "}\n",
       "\n",
       "table.dataframe th.bottomBorder {\n",
       "    border-bottom-color: var(--bold-border-color);\n",
       "}\n",
       "\n",
       "table.dataframe tbody > tr:nth-child(odd) {\n",
       "    background: var(--background-odd);\n",
       "}\n",
       "\n",
       "table.dataframe tbody > tr:nth-child(even) {\n",
       "    background: var(--background);\n",
       "}\n",
       "\n",
       "table.dataframe tbody > tr:hover {\n",
       "    background: var(--background-hover);\n",
       "}\n",
       "\n",
       "table.dataframe a {\n",
       "    cursor: pointer;\n",
       "    color: var(--link-color);\n",
       "    text-decoration: none;\n",
       "}\n",
       "\n",
       "table.dataframe tr:hover > td a {\n",
       "    color: var(--link-color-pale);\n",
       "}\n",
       "\n",
       "table.dataframe a:hover {\n",
       "    color: var(--link-hover);\n",
       "    text-decoration: underline;\n",
       "}\n",
       "\n",
       "table.dataframe img {\n",
       "    max-width: fit-content;\n",
       "}\n",
       "\n",
       "table.dataframe th.complex {\n",
       "    background-color: var(--background);\n",
       "    border: 1px solid var(--background);\n",
       "}\n",
       "\n",
       "table.dataframe .leftBorder {\n",
       "    border-left-color: var(--inner-border-color);\n",
       "}\n",
       "\n",
       "table.dataframe .rightBorder {\n",
       "    border-right-color: var(--inner-border-color);\n",
       "}\n",
       "\n",
       "table.dataframe .rightAlign {\n",
       "    text-align: right;\n",
       "}\n",
       "\n",
       "table.dataframe .expanderSvg {\n",
       "    width: 8px;\n",
       "    height: 8px;\n",
       "    margin-right: 3px;\n",
       "}\n",
       "\n",
       "table.dataframe .expander {\n",
       "    display: flex;\n",
       "    align-items: center;\n",
       "}\n",
       "\n",
       "/* formatting */\n",
       "\n",
       "table.dataframe .null {\n",
       "    color: var(--text-color-pale);\n",
       "}\n",
       "\n",
       "table.dataframe .structural {\n",
       "    color: var(--text-color-medium);\n",
       "    font-weight: bold;\n",
       "}\n",
       "\n",
       "table.dataframe .dataFrameCaption {\n",
       "    font-weight: bold;\n",
       "}\n",
       "\n",
       "table.dataframe .numbers {\n",
       "    color: var(--text-color-dark);\n",
       "}\n",
       "\n",
       "table.dataframe td:hover .formatted .structural, .null {\n",
       "    color: var(--text-color-dark);\n",
       "}\n",
       "\n",
       "table.dataframe tr:hover .formatted .structural, .null {\n",
       "    color: var(--text-color-dark);\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "            </style>\n",
       "        </head>\n",
       "        <body>\n",
       "            \n",
       "<table class=\"dataframe\" id=\"df_1728053248\"></table>\n",
       "\n",
       "<p class=\"dataframe_description\">DataFrame: rowsCount = 3, columnsCount = 12</p>\n",
       "        </body>\n",
       "        <script>\n",
       "            \n",
       "/*<!--*/\n",
       "call_DataFrame(function() { DataFrame.addTable({ cols: [{ name: \"<span title=\\\"untitled: Int\\\">untitled</span>\", children: [], rightAlign: true, values: [\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">1</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">2</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">3</span></span>\"] }, \n",
       "{ name: \"<span title=\\\"manufacturer: String\\\">manufacturer</span>\", children: [], rightAlign: false, values: [\"audi\",\"audi\",\"audi\"] }, \n",
       "{ name: \"<span title=\\\"model: String\\\">model</span>\", children: [], rightAlign: false, values: [\"a4\",\"a4\",\"a4\"] }, \n",
       "{ name: \"<span title=\\\"displ: Double\\\">displ</span>\", children: [], rightAlign: true, values: [\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">1.8</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">1.8</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">2.0</span></span>\"] }, \n",
       "{ name: \"<span title=\\\"year: Int\\\">year</span>\", children: [], rightAlign: true, values: [\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">1999</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">1999</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">2008</span></span>\"] }, \n",
       "{ name: \"<span title=\\\"cyl: Int\\\">cyl</span>\", children: [], rightAlign: true, values: [\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">4</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">4</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">4</span></span>\"] }, \n",
       "{ name: \"<span title=\\\"trans: String\\\">trans</span>\", children: [], rightAlign: false, values: [\"auto(l5)\",\"manual(m5)\",\"manual(m6)\"] }, \n",
       "{ name: \"<span title=\\\"drv: String\\\">drv</span>\", children: [], rightAlign: false, values: [\"f\",\"f\",\"f\"] }, \n",
       "{ name: \"<span title=\\\"cty: Int\\\">cty</span>\", children: [], rightAlign: true, values: [\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">18</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">21</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">20</span></span>\"] }, \n",
       "{ name: \"<span title=\\\"hwy: Int\\\">hwy</span>\", children: [], rightAlign: true, values: [\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">29</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">29</span></span>\",\"<span class=\\\"formatted\\\" title=\\\"\\\"><span class=\\\"numbers\\\">31</span></span>\"] }, \n",
       "{ name: \"<span title=\\\"fl: String\\\">fl</span>\", children: [], rightAlign: false, values: [\"p\",\"p\",\"p\"] }, \n",
       "{ name: \"<span title=\\\"class: String\\\">class</span>\", children: [], rightAlign: false, values: [\"compact\",\"compact\",\"compact\"] }, \n",
       "], id: 1728053248, rootId: 1728053248, totalRows: 3 } ) });\n",
       "/*-->*/\n",
       "\n",
       "call_DataFrame(function() { DataFrame.renderTable(1728053248) });\n",
       "\n",
       "\n",
       "        </script>\n",
       "        </html>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "val df = DataFrame.readCSV(\"https://raw.githubusercontent.com/JetBrains/lets-plot-docs/master/data/mpg.csv\")\n",
    "df.head(3)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "substantial-violence",
   "metadata": {},
   "source": [
    "> *The 1-st figure is usually built with a minimal set of required parameters.*\n",
    ">\n",
    "> *In many cases chapter header is not necessary.*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "protective-barbados",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "   <div id=\"MZdgax\"></div>\n",
       "   <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
       "       (function() {\n",
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    "    x = \"displ\"\n",
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   "cell_type": "markdown",
   "id": "unauthorized-surname",
   "metadata": {},
   "source": [
    "<a id=\"color\"></a>\n",
    "#### 1. `color` and `size`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "grateful-emerald",
   "metadata": {},
   "outputs": [
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   "cell_type": "markdown",
   "id": "headed-cliff",
   "metadata": {},
   "source": [
    "<a id=\"shape\"></a>\n",
    "#### 2. `shape`"
   ]
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   "cell_type": "code",
   "execution_count": 7,
   "id": "enhanced-presentation",
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   "outputs": [
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       "\"scales\":[],\n",
       "\"layers\":[{\n",
       "\"mapping\":{\n",
       "\"x\":\"displ\",\n",
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       "\"shape\":\"drv\"\n",
       "},\n",
       "\"stat\":\"identity\",\n",
       "\"size\":8.0,\n",
       "\"position\":\"identity\",\n",
       "\"geom\":\"point\",\n",
       "\"data\":{\n",
       "}\n",
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       "           var plotContainer = document.getElementById(\"H5t0xy\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
       "           }});\n",
       "       })();    \n",
       "   </script>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "letsPlot(df.toMap()) + geomPoint(size = 8) {\n",
    "    x = \"displ\"\n",
    "    y = \"hwy\"\n",
    "    shape = \"drv\"\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "vulnerable-romantic",
   "metadata": {},
   "source": [
    "<a id=\"hollow-shape\"></a>\n",
    "##### 2.1 Switching to Hollow Shapes "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "certified-grass",
   "metadata": {},
   "outputs": [
    {
     "data": {
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   "source": [
    "letsPlot(df.toMap()) + geomPoint(size = 8) {\n",
    "    x = \"displ\"\n",
    "    y = \"hwy\"\n",
    "    shape = \"drv\"\n",
    "} + scaleShape(\n",
    "        solid = false\n",
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  {
   "cell_type": "markdown",
   "id": "plastic-afternoon",
   "metadata": {},
   "source": [
    "<a id=\"geotools\"></a>\n",
    "#### 3. Usage with GeoTools\n",
    "`geomPoint()` can be used to draw markers on map."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "micro-dairy",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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