{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "round-logistics",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-17T07:29:24.947776Z",
     "iopub.status.busy": "2024-04-17T07:29:24.947501Z",
     "iopub.status.idle": "2024-04-17T07:29:25.261167Z",
     "shell.execute_reply": "2024-04-17T07:29:25.260843Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "            <div id=\"1cdik1\"></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@v4.3.1/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",
       "                    script.onerror = function(event) {\n",
       "                        window.letsPlotCall = function(f) {};    // noop\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(\"1cdik1\").appendChild(div);\n",
       "                    };\n",
       "                    var e = document.getElementById(\"1cdik1\");\n",
       "                    e.appendChild(script);\n",
       "                })()\n",
       "            </script>\n",
       "            "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "from lets_plot import *\n",
    "LetsPlot.setup_html()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "emerging-replacement",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-17T07:29:25.262460Z",
     "iopub.status.busy": "2024-04-17T07:29:25.262336Z",
     "iopub.status.idle": "2024-04-17T07:29:25.403460Z",
     "shell.execute_reply": "2024-04-17T07:29:25.403173Z"
    }
   },
   "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>Unnamed: 0</th>\n",
       "      <th>manufacturer</th>\n",
       "      <th>model</th>\n",
       "      <th>displ</th>\n",
       "      <th>year</th>\n",
       "      <th>cyl</th>\n",
       "      <th>trans</th>\n",
       "      <th>drv</th>\n",
       "      <th>cty</th>\n",
       "      <th>hwy</th>\n",
       "      <th>fl</th>\n",
       "      <th>class</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>audi</td>\n",
       "      <td>a4</td>\n",
       "      <td>1.8</td>\n",
       "      <td>1999</td>\n",
       "      <td>4</td>\n",
       "      <td>auto(l5)</td>\n",
       "      <td>f</td>\n",
       "      <td>18</td>\n",
       "      <td>29</td>\n",
       "      <td>p</td>\n",
       "      <td>compact</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>audi</td>\n",
       "      <td>a4</td>\n",
       "      <td>1.8</td>\n",
       "      <td>1999</td>\n",
       "      <td>4</td>\n",
       "      <td>manual(m5)</td>\n",
       "      <td>f</td>\n",
       "      <td>21</td>\n",
       "      <td>29</td>\n",
       "      <td>p</td>\n",
       "      <td>compact</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>audi</td>\n",
       "      <td>a4</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2008</td>\n",
       "      <td>4</td>\n",
       "      <td>manual(m6)</td>\n",
       "      <td>f</td>\n",
       "      <td>20</td>\n",
       "      <td>31</td>\n",
       "      <td>p</td>\n",
       "      <td>compact</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>audi</td>\n",
       "      <td>a4</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2008</td>\n",
       "      <td>4</td>\n",
       "      <td>auto(av)</td>\n",
       "      <td>f</td>\n",
       "      <td>21</td>\n",
       "      <td>30</td>\n",
       "      <td>p</td>\n",
       "      <td>compact</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>audi</td>\n",
       "      <td>a4</td>\n",
       "      <td>2.8</td>\n",
       "      <td>1999</td>\n",
       "      <td>6</td>\n",
       "      <td>auto(l5)</td>\n",
       "      <td>f</td>\n",
       "      <td>16</td>\n",
       "      <td>26</td>\n",
       "      <td>p</td>\n",
       "      <td>compact</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229</th>\n",
       "      <td>230</td>\n",
       "      <td>volkswagen</td>\n",
       "      <td>passat</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2008</td>\n",
       "      <td>4</td>\n",
       "      <td>auto(s6)</td>\n",
       "      <td>f</td>\n",
       "      <td>19</td>\n",
       "      <td>28</td>\n",
       "      <td>p</td>\n",
       "      <td>midsize</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230</th>\n",
       "      <td>231</td>\n",
       "      <td>volkswagen</td>\n",
       "      <td>passat</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2008</td>\n",
       "      <td>4</td>\n",
       "      <td>manual(m6)</td>\n",
       "      <td>f</td>\n",
       "      <td>21</td>\n",
       "      <td>29</td>\n",
       "      <td>p</td>\n",
       "      <td>midsize</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231</th>\n",
       "      <td>232</td>\n",
       "      <td>volkswagen</td>\n",
       "      <td>passat</td>\n",
       "      <td>2.8</td>\n",
       "      <td>1999</td>\n",
       "      <td>6</td>\n",
       "      <td>auto(l5)</td>\n",
       "      <td>f</td>\n",
       "      <td>16</td>\n",
       "      <td>26</td>\n",
       "      <td>p</td>\n",
       "      <td>midsize</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>233</td>\n",
       "      <td>volkswagen</td>\n",
       "      <td>passat</td>\n",
       "      <td>2.8</td>\n",
       "      <td>1999</td>\n",
       "      <td>6</td>\n",
       "      <td>manual(m5)</td>\n",
       "      <td>f</td>\n",
       "      <td>18</td>\n",
       "      <td>26</td>\n",
       "      <td>p</td>\n",
       "      <td>midsize</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>234</td>\n",
       "      <td>volkswagen</td>\n",
       "      <td>passat</td>\n",
       "      <td>3.6</td>\n",
       "      <td>2008</td>\n",
       "      <td>6</td>\n",
       "      <td>auto(s6)</td>\n",
       "      <td>f</td>\n",
       "      <td>17</td>\n",
       "      <td>26</td>\n",
       "      <td>p</td>\n",
       "      <td>midsize</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>234 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Unnamed: 0 manufacturer   model  displ  year  cyl       trans drv  cty  \\\n",
       "0             1         audi      a4    1.8  1999    4    auto(l5)   f   18   \n",
       "1             2         audi      a4    1.8  1999    4  manual(m5)   f   21   \n",
       "2             3         audi      a4    2.0  2008    4  manual(m6)   f   20   \n",
       "3             4         audi      a4    2.0  2008    4    auto(av)   f   21   \n",
       "4             5         audi      a4    2.8  1999    6    auto(l5)   f   16   \n",
       "..          ...          ...     ...    ...   ...  ...         ...  ..  ...   \n",
       "229         230   volkswagen  passat    2.0  2008    4    auto(s6)   f   19   \n",
       "230         231   volkswagen  passat    2.0  2008    4  manual(m6)   f   21   \n",
       "231         232   volkswagen  passat    2.8  1999    6    auto(l5)   f   16   \n",
       "232         233   volkswagen  passat    2.8  1999    6  manual(m5)   f   18   \n",
       "233         234   volkswagen  passat    3.6  2008    6    auto(s6)   f   17   \n",
       "\n",
       "     hwy fl    class  \n",
       "0     29  p  compact  \n",
       "1     29  p  compact  \n",
       "2     31  p  compact  \n",
       "3     30  p  compact  \n",
       "4     26  p  compact  \n",
       "..   ... ..      ...  \n",
       "229   28  p  midsize  \n",
       "230   29  p  midsize  \n",
       "231   26  p  midsize  \n",
       "232   26  p  midsize  \n",
       "233   26  p  midsize  \n",
       "\n",
       "[234 rows x 12 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mpg = pd.read_csv (\"https://raw.githubusercontent.com/JetBrains/lets-plot-docs/master/data/mpg.csv\")\n",
    "mpg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "classical-employer",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-17T07:29:25.404694Z",
     "iopub.status.busy": "2024-04-17T07:29:25.404572Z",
     "iopub.status.idle": "2024-04-17T07:29:25.437758Z",
     "shell.execute_reply": "2024-04-17T07:29:25.437541Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\"hwy\":[29.0,29.0,31.0,30.0,26.0,26.0,27.0,26.0,25.0,28.0,27.0,25.0,25.0,25.0,25.0,24.0,25.0,23.0,20.0,15.0,20.0,17.0,17.0,26.0,23.0,26.0,25.0,24.0,19.0,14.0,15.0,17.0,27.0,30.0,26.0,29.0,26.0,24.0,24.0,22.0,22.0,24.0,24.0,17.0,22.0,21.0,23.0,23.0,19.0,18.0,17.0,17.0,19.0,19.0,12.0,17.0,15.0,17.0,17.0,12.0,17.0,16.0,18.0,15.0,16.0,12.0,17.0,17.0,16.0,12.0,15.0,16.0,17.0,15.0,17.0,17.0,18.0,17.0,19.0,17.0,19.0,19.0,17.0,17.0,17.0,16.0,16.0,17.0,15.0,17.0,26.0,25.0,26.0,24.0,21.0,22.0,23.0,22.0,20.0,33.0,32.0,32.0,29.0,32.0,34.0,36.0,36.0,29.0,26.0,27.0,30.0,31.0,26.0,26.0,28.0,26.0,29.0,28.0,27.0,24.0,24.0,24.0,22.0,19.0,20.0,17.0,12.0,19.0,18.0,14.0,15.0,18.0,18.0,15.0,17.0,16.0,18.0,17.0,19.0,19.0,17.0,29.0,27.0,31.0,32.0,27.0,26.0,26.0,25.0,25.0,17.0,17.0,20.0,18.0,26.0,26.0,27.0,28.0,25.0,25.0,24.0,27.0,25.0,26.0,23.0,26.0,26.0,26.0,26.0,25.0,27.0,25.0,27.0,20.0,20.0,19.0,17.0,20.0,17.0,29.0,27.0,31.0,31.0,26.0,26.0,28.0,27.0,29.0,31.0,31.0,26.0,26.0,27.0,30.0,33.0,35.0,37.0,35.0,15.0,18.0,20.0,20.0,22.0,17.0,19.0,18.0,20.0,29.0,26.0,29.0,29.0,24.0,44.0,29.0,26.0,29.0,29.0,29.0,29.0,23.0,24.0,44.0,41.0,29.0,26.0,28.0,29.0,29.0,29.0,28.0,29.0,26.0,26.0,26.0]\n",
       "},\n",
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       "},\n",
       "\"data_meta\":{\n",
       "},\n",
       "\"kind\":\"plot\",\n",
       "\"scales\":[],\n",
       "\"layers\":[{\n",
       "\"geom\":\"point\",\n",
       "\"mapping\":{\n",
       "\"x\":\"displ\",\n",
       "\"y\":\"hwy\",\n",
       "\"color\":\"drv\"\n",
       "},\n",
       "\"data_meta\":{\n",
       "},\n",
       "\"data\":{\n",
       "}\n",
       "}],\n",
       "\"metainfo_list\":[]\n",
       "};\n",
       "           var plotContainer = document.getElementById(\"y4HTsF\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
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       "       })();\n",
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      ],
      "text/plain": [
       "<lets_plot.plot.core.PlotSpec at 0x798366e56290>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "p = ggplot(mpg) + geom_point(aes('displ', 'hwy', color = 'drv'))\n",
    "p"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "secure-order",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-17T07:29:25.439074Z",
     "iopub.status.busy": "2024-04-17T07:29:25.438856Z",
     "iopub.status.idle": "2024-04-17T07:29:25.443091Z",
     "shell.execute_reply": "2024-04-17T07:29:25.442896Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "   <div id=\"4sbNKg\"></div>\n",
       "   <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
       "       (function() {\n",
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   "id": "opened-edmonton",
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     "shell.execute_reply": "2024-04-17T07:29:25.447790Z"
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       "},\n",
       "\"mapping\":{\n",
       "},\n",
       "\"data_meta\":{\n",
       "},\n",
       "\"ggtitle\":{\n",
       "\"text\":\"The plot title\",\n",
       "\"subtitle\":\"The plot subtitle\"\n",
       "},\n",
       "\"kind\":\"plot\",\n",
       "\"scales\":[],\n",
       "\"layers\":[{\n",
       "\"geom\":\"point\",\n",
       "\"mapping\":{\n",
       "\"x\":\"displ\",\n",
       "\"y\":\"hwy\",\n",
       "\"color\":\"drv\"\n",
       "},\n",
       "\"data_meta\":{\n",
       "},\n",
       "\"data\":{\n",
       "}\n",
       "}],\n",
       "\"metainfo_list\":[]\n",
       "};\n",
       "           var plotContainer = document.getElementById(\"ADJ87X\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
       "           }});\n",
       "       })();\n",
       "   </script>"
      ],
      "text/plain": [
       "<lets_plot.plot.core.PlotSpec at 0x798366e55600>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Add subtitle using ggtitle()\n",
    "\n",
    "p + ggtitle(\"The plot title\", subtitle = \"The plot subtitle\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "stuffed-reflection",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-17T07:29:25.454098Z",
     "iopub.status.busy": "2024-04-17T07:29:25.453972Z",
     "iopub.status.idle": "2024-04-17T07:29:25.457682Z",
     "shell.execute_reply": "2024-04-17T07:29:25.457494Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "   <div id=\"GsSe1q\"></div>\n",
       "   <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
       "       (function() {\n",
       "           var plotSpec={\n",
       "\"data\":{\n",
       "\"displ\":[1.8,1.8,2.0,2.0,2.8,2.8,3.1,1.8,1.8,2.0,2.0,2.8,2.8,3.1,3.1,2.8,3.1,4.2,5.3,5.3,5.3,5.7,6.0,5.7,5.7,6.2,6.2,7.0,5.3,5.3,5.7,6.5,2.4,2.4,3.1,3.5,3.6,2.4,3.0,3.3,3.3,3.3,3.3,3.3,3.8,3.8,3.8,4.0,3.7,3.7,3.9,3.9,4.7,4.7,4.7,5.2,5.2,3.9,4.7,4.7,4.7,5.2,5.7,5.9,4.7,4.7,4.7,4.7,4.7,4.7,5.2,5.2,5.7,5.9,4.6,5.4,5.4,4.0,4.0,4.0,4.0,4.6,5.0,4.2,4.2,4.6,4.6,4.6,5.4,5.4,3.8,3.8,4.0,4.0,4.6,4.6,4.6,4.6,5.4,1.6,1.6,1.6,1.6,1.6,1.8,1.8,1.8,2.0,2.4,2.4,2.4,2.4,2.5,2.5,3.3,2.0,2.0,2.0,2.0,2.7,2.7,2.7,3.0,3.7,4.0,4.7,4.7,4.7,5.7,6.1,4.0,4.2,4.4,4.6,5.4,5.4,5.4,4.0,4.0,4.6,5.0,2.4,2.4,2.5,2.5,3.5,3.5,3.0,3.0,3.5,3.3,3.3,4.0,5.6,3.1,3.8,3.8,3.8,5.3,2.5,2.5,2.5,2.5,2.5,2.5,2.2,2.2,2.5,2.5,2.5,2.5,2.5,2.5,2.7,2.7,3.4,3.4,4.0,4.7,2.2,2.2,2.4,2.4,3.0,3.0,3.5,2.2,2.2,2.4,2.4,3.0,3.0,3.3,1.8,1.8,1.8,1.8,1.8,4.7,5.7,2.7,2.7,2.7,3.4,3.4,4.0,4.0,2.0,2.0,2.0,2.0,2.8,1.9,2.0,2.0,2.0,2.0,2.5,2.5,2.8,2.8,1.9,1.9,2.0,2.0,2.5,2.5,1.8,1.8,2.0,2.0,2.8,2.8,3.6],\n",
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       "},\n",
       "\"mapping\":{\n",
       "},\n",
       "\"data_meta\":{\n",
       "},\n",
       "\"ggtitle\":{\n",
       "\"text\":\"The plot title\",\n",
       "\"subtitle\":\"The plot subtitle\"\n",
       "},\n",
       "\"kind\":\"plot\",\n",
       "\"scales\":[],\n",
       "\"layers\":[{\n",
       "\"geom\":\"point\",\n",
       "\"mapping\":{\n",
       "\"x\":\"displ\",\n",
       "\"y\":\"hwy\",\n",
       "\"color\":\"drv\"\n",
       "},\n",
       "\"data_meta\":{\n",
       "},\n",
       "\"data\":{\n",
       "}\n",
       "}],\n",
       "\"metainfo_list\":[]\n",
       "};\n",
       "           var plotContainer = document.getElementById(\"GsSe1q\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
       "           }});\n",
       "       })();\n",
       "   </script>"
      ],
      "text/plain": [
       "<lets_plot.plot.core.PlotSpec at 0x79849d27f9a0>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#  Add subtitle using labs()\n",
    "\n",
    "p + labs(title = \"The plot title\", subtitle = \"The plot subtitle\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "designed-cycle",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-17T07:29:25.458692Z",
     "iopub.status.busy": "2024-04-17T07:29:25.458572Z",
     "iopub.status.idle": "2024-04-17T07:29:25.462341Z",
     "shell.execute_reply": "2024-04-17T07:29:25.462157Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "   <div id=\"KEPTTK\"></div>\n",
       "   <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
       "       (function() {\n",
       "           var plotSpec={\n",
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       "},\n",
       "\"mapping\":{\n",
       "},\n",
       "\"data_meta\":{\n",
       "},\n",
       "\"ggtitle\":{\n",
       "\"text\":\"The plot title\",\n",
       "\"subtitle\":\"The plot subtitle\"\n",
       "},\n",
       "\"caption\":{\n",
       "\"text\":\"The plot caption\"\n",
       "},\n",
       "\"kind\":\"plot\",\n",
       "\"scales\":[],\n",
       "\"layers\":[{\n",
       "\"geom\":\"point\",\n",
       "\"mapping\":{\n",
       "\"x\":\"displ\",\n",
       "\"y\":\"hwy\",\n",
       "\"color\":\"drv\"\n",
       "},\n",
       "\"data_meta\":{\n",
       "},\n",
       "\"data\":{\n",
       "}\n",
       "}],\n",
       "\"metainfo_list\":[]\n",
       "};\n",
       "           var plotContainer = document.getElementById(\"KEPTTK\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
       "           }});\n",
       "       })();\n",
       "   </script>"
      ],
      "text/plain": [
       "<lets_plot.plot.core.PlotSpec at 0x79835feb49a0>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#  Add caption\n",
    "\n",
    "p2 = p + labs(title = \"The plot title\", subtitle = \"The plot subtitle\", caption = \"The plot caption\")\n",
    "p2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "injured-multimedia",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-17T07:29:25.463365Z",
     "iopub.status.busy": "2024-04-17T07:29:25.463242Z",
     "iopub.status.idle": "2024-04-17T07:29:25.467044Z",
     "shell.execute_reply": "2024-04-17T07:29:25.466854Z"
    }
   },
   "outputs": [
    {
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       "\"text\":\"The plot caption\"\n",
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       "           var plotContainer = document.getElementById(\"DGJWmo\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
       "           }});\n",
       "       })();\n",
       "   </script>"
      ],
      "text/plain": [
       "<lets_plot.plot.core.PlotSpec at 0x798366e23cd0>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Add color for title\n",
    "\n",
    "# 'title' applies to plot's title, subtitle, caption\n",
    "p2 + theme(title=element_text(color='blue'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "suitable-grammar",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-17T07:29:25.468031Z",
     "iopub.status.busy": "2024-04-17T07:29:25.467887Z",
     "iopub.status.idle": "2024-04-17T07:29:25.471844Z",
     "shell.execute_reply": "2024-04-17T07:29:25.471640Z"
    }
   },
   "outputs": [
    {
     "data": {
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       "},\n",
       "\"mapping\":{\n",
       "},\n",
       "\"data_meta\":{\n",
       "},\n",
       "\"ggtitle\":{\n",
       "\"text\":\"The plot title\",\n",
       "\"subtitle\":\"The plot subtitle\"\n",
       "},\n",
       "\"caption\":{\n",
       "\"text\":\"The plot caption\"\n",
       "},\n",
       "\"theme\":{\n",
       "\"plot_title\":{\n",
       "\"color\":\"blue\",\n",
       "\"blank\":false\n",
       "}\n",
       "},\n",
       "\"kind\":\"plot\",\n",
       "\"scales\":[],\n",
       "\"layers\":[{\n",
       "\"geom\":\"point\",\n",
       "\"mapping\":{\n",
       "\"x\":\"displ\",\n",
       "\"y\":\"hwy\",\n",
       "\"color\":\"drv\"\n",
       "},\n",
       "\"data_meta\":{\n",
       "},\n",
       "\"data\":{\n",
       "}\n",
       "}],\n",
       "\"metainfo_list\":[]\n",
       "};\n",
       "           var plotContainer = document.getElementById(\"adepLa\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
       "           }});\n",
       "       })();\n",
       "   </script>"
      ],
      "text/plain": [
       "<lets_plot.plot.core.PlotSpec at 0x79835fec68c0>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 'plot_title' will also apply to the subtitle\n",
    "p2 + theme(plot_title=element_text(color='blue'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "radical-terrorism",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-17T07:29:25.472813Z",
     "iopub.status.busy": "2024-04-17T07:29:25.472688Z",
     "iopub.status.idle": "2024-04-17T07:29:25.476817Z",
     "shell.execute_reply": "2024-04-17T07:29:25.476630Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "   <div id=\"oDSESH\"></div>\n",
       "   <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
       "       (function() {\n",
       "           var plotSpec={\n",
       "\"data\":{\n",
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       "},\n",
       "\"mapping\":{\n",
       "},\n",
       "\"data_meta\":{\n",
       "},\n",
       "\"ggtitle\":{\n",
       "\"text\":\"The plot title\",\n",
       "\"subtitle\":\"The plot subtitle\"\n",
       "},\n",
       "\"caption\":{\n",
       "\"text\":\"The plot caption\"\n",
       "},\n",
       "\"theme\":{\n",
       "\"plot_title\":{\n",
       "\"color\":\"blue\",\n",
       "\"blank\":false\n",
       "},\n",
       "\"plot_subtitle\":{\n",
       "\"color\":\"red\",\n",
       "\"blank\":false\n",
       "},\n",
       "\"plot_caption\":{\n",
       "\"color\":\"dark_green\",\n",
       "\"blank\":false\n",
       "}\n",
       "},\n",
       "\"kind\":\"plot\",\n",
       "\"scales\":[],\n",
       "\"layers\":[{\n",
       "\"geom\":\"point\",\n",
       "\"mapping\":{\n",
       "\"x\":\"displ\",\n",
       "\"y\":\"hwy\",\n",
       "\"color\":\"drv\"\n",
       "},\n",
       "\"data_meta\":{\n",
       "},\n",
       "\"data\":{\n",
       "}\n",
       "}],\n",
       "\"metainfo_list\":[]\n",
       "};\n",
       "           var plotContainer = document.getElementById(\"oDSESH\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
       "           }});\n",
       "       })();\n",
       "   </script>"
      ],
      "text/plain": [
       "<lets_plot.plot.core.PlotSpec at 0x79835fe8baf0>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Set own colors\n",
    "p2 + theme(\n",
    "    plot_title=element_text(color='blue'), \n",
    "    plot_subtitle=element_text(color='red'),\n",
    "    plot_caption=element_text(color='dark_green'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "continued-defeat",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-17T07:29:25.477781Z",
     "iopub.status.busy": "2024-04-17T07:29:25.477662Z",
     "iopub.status.idle": "2024-04-17T07:29:25.481874Z",
     "shell.execute_reply": "2024-04-17T07:29:25.481687Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "   <div id=\"ipsaWq\"></div>\n",
       "   <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
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       "           var plotSpec={\n",
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       "},\n",
       "\"mapping\":{\n",
       "},\n",
       "\"data_meta\":{\n",
       "},\n",
       "\"ggtitle\":{\n",
       "\"text\":\"The plot title:\\nFuel efficiency for most popular models of car\",\n",
       "\"subtitle\":\"The plot subtitle:\\nPoints are colored by the type of drive train\"\n",
       "},\n",
       "\"caption\":{\n",
       "\"text\":\"The plot caption:\\nmpg dataset\"\n",
       "},\n",
       "\"theme\":{\n",
       "\"plot_subtitle\":{\n",
       "\"color\":\"gray\",\n",
       "\"blank\":false\n",
       "},\n",
       "\"plot_caption\":{\n",
       "\"color\":\"light_gray\",\n",
       "\"blank\":false\n",
       "}\n",
       "},\n",
       "\"kind\":\"plot\",\n",
       "\"scales\":[],\n",
       "\"layers\":[{\n",
       "\"geom\":\"point\",\n",
       "\"mapping\":{\n",
       "\"x\":\"displ\",\n",
       "\"y\":\"hwy\",\n",
       "\"color\":\"drv\"\n",
       "},\n",
       "\"data_meta\":{\n",
       "},\n",
       "\"data\":{\n",
       "}\n",
       "}],\n",
       "\"metainfo_list\":[]\n",
       "};\n",
       "           var plotContainer = document.getElementById(\"ipsaWq\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
       "           }});\n",
       "       })();\n",
       "   </script>"
      ],
      "text/plain": [
       "<lets_plot.plot.core.PlotSpec at 0x79835fee4c70>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Multiple lines - using `\\n`\n",
    "\n",
    "p + labs(\n",
    "        title = \"The plot title:\\nFuel efficiency for most popular models of car\", \n",
    "        subtitle = \"The plot subtitle:\\nPoints are colored by the type of drive train\",\n",
    "        caption = \"The plot caption:\\nmpg dataset\"\n",
    "    ) + theme(plot_subtitle=element_text(color='gray'), plot_caption=element_text(color='light_gray'))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "nominated-notebook",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-17T07:29:25.482845Z",
     "iopub.status.busy": "2024-04-17T07:29:25.482725Z",
     "iopub.status.idle": "2024-04-17T07:29:25.487214Z",
     "shell.execute_reply": "2024-04-17T07:29:25.487024Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "   <div id=\"i62ren\"></div>\n",
       "   <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
       "       (function() {\n",
       "           var plotSpec={\n",
       "\"data\":{\n",
       "\"displ\":[1.8,1.8,2.0,2.0,2.8,2.8,3.1,1.8,1.8,2.0,2.0,2.8,2.8,3.1,3.1,2.8,3.1,4.2,5.3,5.3,5.3,5.7,6.0,5.7,5.7,6.2,6.2,7.0,5.3,5.3,5.7,6.5,2.4,2.4,3.1,3.5,3.6,2.4,3.0,3.3,3.3,3.3,3.3,3.3,3.8,3.8,3.8,4.0,3.7,3.7,3.9,3.9,4.7,4.7,4.7,5.2,5.2,3.9,4.7,4.7,4.7,5.2,5.7,5.9,4.7,4.7,4.7,4.7,4.7,4.7,5.2,5.2,5.7,5.9,4.6,5.4,5.4,4.0,4.0,4.0,4.0,4.6,5.0,4.2,4.2,4.6,4.6,4.6,5.4,5.4,3.8,3.8,4.0,4.0,4.6,4.6,4.6,4.6,5.4,1.6,1.6,1.6,1.6,1.6,1.8,1.8,1.8,2.0,2.4,2.4,2.4,2.4,2.5,2.5,3.3,2.0,2.0,2.0,2.0,2.7,2.7,2.7,3.0,3.7,4.0,4.7,4.7,4.7,5.7,6.1,4.0,4.2,4.4,4.6,5.4,5.4,5.4,4.0,4.0,4.6,5.0,2.4,2.4,2.5,2.5,3.5,3.5,3.0,3.0,3.5,3.3,3.3,4.0,5.6,3.1,3.8,3.8,3.8,5.3,2.5,2.5,2.5,2.5,2.5,2.5,2.2,2.2,2.5,2.5,2.5,2.5,2.5,2.5,2.7,2.7,3.4,3.4,4.0,4.7,2.2,2.2,2.4,2.4,3.0,3.0,3.5,2.2,2.2,2.4,2.4,3.0,3.0,3.3,1.8,1.8,1.8,1.8,1.8,4.7,5.7,2.7,2.7,2.7,3.4,3.4,4.0,4.0,2.0,2.0,2.0,2.0,2.8,1.9,2.0,2.0,2.0,2.0,2.5,2.5,2.8,2.8,1.9,1.9,2.0,2.0,2.5,2.5,1.8,1.8,2.0,2.0,2.8,2.8,3.6],\n",
       "\"drv\":[\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"r\",\"r\",\"r\",\"r\",\"r\",\"r\",\"r\",\"r\",\"r\",\"r\",\"4\",\"4\",\"4\",\"4\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"r\",\"r\",\"r\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"r\",\"r\",\"r\",\"r\",\"r\",\"r\",\"r\",\"r\",\"r\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"r\",\"r\",\"r\",\"4\",\"4\",\"4\",\"4\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"4\",\"4\",\"4\",\"4\",\"f\",\"f\",\"f\",\"f\",\"f\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"4\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\",\"f\"],\n",
       "\"cty\":[18.0,21.0,20.0,21.0,16.0,18.0,18.0,18.0,16.0,20.0,19.0,15.0,17.0,17.0,15.0,15.0,17.0,16.0,14.0,11.0,14.0,13.0,12.0,16.0,15.0,16.0,15.0,15.0,14.0,11.0,11.0,14.0,19.0,22.0,18.0,18.0,17.0,18.0,17.0,16.0,16.0,17.0,17.0,11.0,15.0,15.0,16.0,16.0,15.0,14.0,13.0,14.0,14.0,14.0,9.0,11.0,11.0,13.0,13.0,9.0,13.0,11.0,13.0,11.0,12.0,9.0,13.0,13.0,12.0,9.0,11.0,11.0,13.0,11.0,11.0,11.0,12.0,14.0,15.0,14.0,13.0,13.0,13.0,14.0,14.0,13.0,13.0,13.0,11.0,13.0,18.0,18.0,17.0,16.0,15.0,15.0,15.0,15.0,14.0,28.0,24.0,25.0,23.0,24.0,26.0,25.0,24.0,21.0,18.0,18.0,21.0,21.0,18.0,18.0,19.0,19.0,19.0,20.0,20.0,17.0,16.0,17.0,17.0,15.0,15.0,14.0,9.0,14.0,13.0,11.0,11.0,12.0,12.0,11.0,11.0,11.0,12.0,14.0,13.0,13.0,13.0,21.0,19.0,23.0,23.0,19.0,19.0,18.0,19.0,19.0,14.0,15.0,14.0,12.0,18.0,16.0,17.0,18.0,16.0,18.0,18.0,20.0,19.0,20.0,18.0,21.0,19.0,19.0,19.0,20.0,20.0,19.0,20.0,15.0,16.0,15.0,15.0,16.0,14.0,21.0,21.0,21.0,21.0,18.0,18.0,19.0,21.0,21.0,21.0,22.0,18.0,18.0,18.0,24.0,24.0,26.0,28.0,26.0,11.0,13.0,15.0,16.0,17.0,15.0,15.0,15.0,16.0,21.0,19.0,21.0,22.0,17.0,33.0,21.0,19.0,22.0,21.0,21.0,21.0,16.0,17.0,35.0,29.0,21.0,19.0,20.0,20.0,21.0,18.0,19.0,21.0,16.0,18.0,17.0],\n",
       "\"hwy\":[29.0,29.0,31.0,30.0,26.0,26.0,27.0,26.0,25.0,28.0,27.0,25.0,25.0,25.0,25.0,24.0,25.0,23.0,20.0,15.0,20.0,17.0,17.0,26.0,23.0,26.0,25.0,24.0,19.0,14.0,15.0,17.0,27.0,30.0,26.0,29.0,26.0,24.0,24.0,22.0,22.0,24.0,24.0,17.0,22.0,21.0,23.0,23.0,19.0,18.0,17.0,17.0,19.0,19.0,12.0,17.0,15.0,17.0,17.0,12.0,17.0,16.0,18.0,15.0,16.0,12.0,17.0,17.0,16.0,12.0,15.0,16.0,17.0,15.0,17.0,17.0,18.0,17.0,19.0,17.0,19.0,19.0,17.0,17.0,17.0,16.0,16.0,17.0,15.0,17.0,26.0,25.0,26.0,24.0,21.0,22.0,23.0,22.0,20.0,33.0,32.0,32.0,29.0,32.0,34.0,36.0,36.0,29.0,26.0,27.0,30.0,31.0,26.0,26.0,28.0,26.0,29.0,28.0,27.0,24.0,24.0,24.0,22.0,19.0,20.0,17.0,12.0,19.0,18.0,14.0,15.0,18.0,18.0,15.0,17.0,16.0,18.0,17.0,19.0,19.0,17.0,29.0,27.0,31.0,32.0,27.0,26.0,26.0,25.0,25.0,17.0,17.0,20.0,18.0,26.0,26.0,27.0,28.0,25.0,25.0,24.0,27.0,25.0,26.0,23.0,26.0,26.0,26.0,26.0,25.0,27.0,25.0,27.0,20.0,20.0,19.0,17.0,20.0,17.0,29.0,27.0,31.0,31.0,26.0,26.0,28.0,27.0,29.0,31.0,31.0,26.0,26.0,27.0,30.0,33.0,35.0,37.0,35.0,15.0,18.0,20.0,20.0,22.0,17.0,19.0,18.0,20.0,29.0,26.0,29.0,29.0,24.0,44.0,29.0,26.0,29.0,29.0,29.0,29.0,23.0,24.0,44.0,41.0,29.0,26.0,28.0,29.0,29.0,29.0,28.0,29.0,26.0,26.0,26.0]\n",
       "},\n",
       "\"mapping\":{\n",
       "},\n",
       "\"data_meta\":{\n",
       "},\n",
       "\"kind\":\"plot\",\n",
       "\"scales\":[{\n",
       "\"name\":\"City mileage\",\n",
       "\"aesthetic\":\"color\"\n",
       "},{\n",
       "\"name\":\"Drive type\",\n",
       "\"aesthetic\":\"shape\"\n",
       "}],\n",
       "\"layers\":[{\n",
       "\"geom\":\"point\",\n",
       "\"mapping\":{\n",
       "\"x\":\"displ\",\n",
       "\"y\":\"hwy\",\n",
       "\"color\":\"cty\",\n",
       "\"shape\":\"drv\"\n",
       "},\n",
       "\"data_meta\":{\n",
       "},\n",
       "\"size\":4.0,\n",
       "\"data\":{\n",
       "}\n",
       "}],\n",
       "\"metainfo_list\":[]\n",
       "};\n",
       "           var plotContainer = document.getElementById(\"i62ren\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
       "           }});\n",
       "       })();\n",
       "   </script>"
      ],
      "text/plain": [
       "<lets_plot.plot.core.PlotSpec at 0x79835feb49d0>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Legend title\n",
    "\n",
    "p1 = ggplot(mpg) + geom_point(aes('displ', 'hwy', color = 'cty', shape='drv'), size=4) \n",
    "p1 + labs(color='City mileage', shape='Drive type')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "turkish-champagne",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-17T07:29:25.488190Z",
     "iopub.status.busy": "2024-04-17T07:29:25.488068Z",
     "iopub.status.idle": "2024-04-17T07:29:25.492205Z",
     "shell.execute_reply": "2024-04-17T07:29:25.492023Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "   <div id=\"1IvQKn\"></div>\n",
       "   <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
       "       (function() {\n",
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       "\"theme\":{\n",
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       "},\n",
       "\"kind\":\"plot\",\n",
       "\"scales\":[{\n",
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       "\"aesthetic\":\"color\"\n",
       "},{\n",
       "\"name\":\"Drive type\",\n",
       "\"aesthetic\":\"shape\"\n",
       "}],\n",
       "\"layers\":[{\n",
       "\"geom\":\"point\",\n",
       "\"mapping\":{\n",
       "\"x\":\"displ\",\n",
       "\"y\":\"hwy\",\n",
       "\"color\":\"cty\",\n",
       "\"shape\":\"drv\"\n",
       "},\n",
       "\"data_meta\":{\n",
       "},\n",
       "\"size\":4.0,\n",
       "\"data\":{\n",
       "}\n",
       "}],\n",
       "\"metainfo_list\":[]\n",
       "};\n",
       "           var plotContainer = document.getElementById(\"1IvQKn\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
       "           }});\n",
       "       })();\n",
       "   </script>"
      ],
      "text/plain": [
       "<lets_plot.plot.core.PlotSpec at 0x79835fe8bb20>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Change legend position\n",
    "\n",
    "p1 + labs(color='City mileage', shape='Drive type') + theme(legend_position='bottom')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "affiliated-tiffany",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-17T07:29:25.493172Z",
     "iopub.status.busy": "2024-04-17T07:29:25.493047Z",
     "iopub.status.idle": "2024-04-17T07:29:25.497230Z",
     "shell.execute_reply": "2024-04-17T07:29:25.497036Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\"mapping\":{\n",
       "\"x\":\"displ\",\n",
       "\"y\":\"hwy\",\n",
       "\"color\":\"cty\",\n",
       "\"shape\":\"drv\"\n",
       "},\n",
       "\"data_meta\":{\n",
       "},\n",
       "\"size\":4.0,\n",
       "\"data\":{\n",
       "}\n",
       "}],\n",
       "\"metainfo_list\":[]\n",
       "};\n",
       "           var plotContainer = document.getElementById(\"u2TrBe\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
       "           }});\n",
       "       })();\n",
       "   </script>"
      ],
      "text/plain": [
       "<lets_plot.plot.core.PlotSpec at 0x79835fed5a80>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Use multiple lines in legend titles\n",
    "\n",
    "p1 + labs(color='City mileage\\n(mpg)', \n",
    "          shape='Drive type\\n(front/4/rear wheel)') "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "portuguese-jonathan",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-17T07:29:25.498195Z",
     "iopub.status.busy": "2024-04-17T07:29:25.498070Z",
     "iopub.status.idle": "2024-04-17T07:29:25.502031Z",
     "shell.execute_reply": "2024-04-17T07:29:25.501841Z"
    }
   },
   "outputs": [
    {
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       "\"theme\":{\n",
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       "},\n",
       "\"kind\":\"plot\",\n",
       "\"scales\":[{\n",
       "\"name\":\"City mileage\\n(mpg)\",\n",
       "\"aesthetic\":\"color\"\n",
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       "\"name\":\"Drive type\\n(front/4/rear wheel)\",\n",
       "\"aesthetic\":\"shape\"\n",
       "}],\n",
       "\"layers\":[{\n",
       "\"geom\":\"point\",\n",
       "\"mapping\":{\n",
       "\"x\":\"displ\",\n",
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       "\"color\":\"cty\",\n",
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       "\"data_meta\":{\n",
       "},\n",
       "\"size\":4.0,\n",
       "\"data\":{\n",
       "}\n",
       "}],\n",
       "\"metainfo_list\":[]\n",
       "};\n",
       "           var plotContainer = document.getElementById(\"N41305\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
       "           }});\n",
       "       })();\n",
       "   </script>"
      ],
      "text/plain": [
       "<lets_plot.plot.core.PlotSpec at 0x79835ff19030>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "p1 + theme(legend_position='bottom') \\\n",
    "   + labs(color='City mileage\\n(mpg)', \n",
    "          shape='Drive type\\n(front/4/rear wheel)') "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "interpreted-talent",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-17T07:29:25.502976Z",
     "iopub.status.busy": "2024-04-17T07:29:25.502854Z",
     "iopub.status.idle": "2024-04-17T07:29:25.506954Z",
     "shell.execute_reply": "2024-04-17T07:29:25.506766Z"
    }
   },
   "outputs": [
    {
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       "\"hwy\":[29.0,29.0,31.0,30.0,26.0,26.0,27.0,26.0,25.0,28.0,27.0,25.0,25.0,25.0,25.0,24.0,25.0,23.0,20.0,15.0,20.0,17.0,17.0,26.0,23.0,26.0,25.0,24.0,19.0,14.0,15.0,17.0,27.0,30.0,26.0,29.0,26.0,24.0,24.0,22.0,22.0,24.0,24.0,17.0,22.0,21.0,23.0,23.0,19.0,18.0,17.0,17.0,19.0,19.0,12.0,17.0,15.0,17.0,17.0,12.0,17.0,16.0,18.0,15.0,16.0,12.0,17.0,17.0,16.0,12.0,15.0,16.0,17.0,15.0,17.0,17.0,18.0,17.0,19.0,17.0,19.0,19.0,17.0,17.0,17.0,16.0,16.0,17.0,15.0,17.0,26.0,25.0,26.0,24.0,21.0,22.0,23.0,22.0,20.0,33.0,32.0,32.0,29.0,32.0,34.0,36.0,36.0,29.0,26.0,27.0,30.0,31.0,26.0,26.0,28.0,26.0,29.0,28.0,27.0,24.0,24.0,24.0,22.0,19.0,20.0,17.0,12.0,19.0,18.0,14.0,15.0,18.0,18.0,15.0,17.0,16.0,18.0,17.0,19.0,19.0,17.0,29.0,27.0,31.0,32.0,27.0,26.0,26.0,25.0,25.0,17.0,17.0,20.0,18.0,26.0,26.0,27.0,28.0,25.0,25.0,24.0,27.0,25.0,26.0,23.0,26.0,26.0,26.0,26.0,25.0,27.0,25.0,27.0,20.0,20.0,19.0,17.0,20.0,17.0,29.0,27.0,31.0,31.0,26.0,26.0,28.0,27.0,29.0,31.0,31.0,26.0,26.0,27.0,30.0,33.0,35.0,37.0,35.0,15.0,18.0,20.0,20.0,22.0,17.0,19.0,18.0,20.0,29.0,26.0,29.0,29.0,24.0,44.0,29.0,26.0,29.0,29.0,29.0,29.0,23.0,24.0,44.0,41.0,29.0,26.0,28.0,29.0,29.0,29.0,28.0,29.0,26.0,26.0,26.0]\n",
       "},\n",
       "\"mapping\":{\n",
       "},\n",
       "\"data_meta\":{\n",
       "},\n",
       "\"theme\":{\n",
       "\"legend_position\":\"bottom\"\n",
       "},\n",
       "\"kind\":\"plot\",\n",
       "\"scales\":[{\n",
       "\"name\":\"City mileage\\n(mpg)\",\n",
       "\"aesthetic\":\"color\"\n",
       "},{\n",
       "\"name\":\"Drive type\\n(front/4/rear wheel)\",\n",
       "\"aesthetic\":\"shape\"\n",
       "},{\n",
       "\"aesthetic\":\"shape\",\n",
       "\"guide\":{\n",
       "\"name\":\"legend\",\n",
       "\"nrow\":3.0\n",
       "},\n",
       "\"solid\":true\n",
       "}],\n",
       "\"layers\":[{\n",
       "\"geom\":\"point\",\n",
       "\"mapping\":{\n",
       "\"x\":\"displ\",\n",
       "\"y\":\"hwy\",\n",
       "\"color\":\"cty\",\n",
       "\"shape\":\"drv\"\n",
       "},\n",
       "\"data_meta\":{\n",
       "},\n",
       "\"size\":4.0,\n",
       "\"data\":{\n",
       "}\n",
       "}],\n",
       "\"metainfo_list\":[]\n",
       "};\n",
       "           var plotContainer = document.getElementById(\"G5WCpz\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
       "           }});\n",
       "       })();\n",
       "   </script>"
      ],
      "text/plain": [
       "<lets_plot.plot.core.PlotSpec at 0x79849d27e830>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "p1 + theme(legend_position='bottom') \\\n",
    "   + labs(color='City mileage\\n(mpg)', \n",
    "          shape='Drive type\\n(front/4/rear wheel)') \\\n",
    "   + scale_shape(guide=guide_legend(nrow=3))"
   ]
  }
 ],
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