{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-17T07:26:22.521197Z",
     "iopub.status.busy": "2024-04-17T07:26:22.521112Z",
     "iopub.status.idle": "2024-04-17T07:26:22.840556Z",
     "shell.execute_reply": "2024-04-17T07:26:22.840325Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "            <div id=\"lhTvOd\"></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(\"lhTvOd\").appendChild(div);\n",
       "                    };\n",
       "                    var e = document.getElementById(\"lhTvOd\");\n",
       "                    e.appendChild(script);\n",
       "                })()\n",
       "            </script>\n",
       "            "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "from lets_plot import *\n",
    "from lets_plot.mapping import as_discrete\n",
    "\n",
    "LetsPlot.setup_html()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-17T07:26:22.853967Z",
     "iopub.status.busy": "2024-04-17T07:26:22.853837Z",
     "iopub.status.idle": "2024-04-17T07:26:23.001012Z",
     "shell.execute_reply": "2024-04-17T07:26:23.000611Z"
    }
   },
   "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",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0 manufacturer model  displ  year  cyl       trans drv  cty  hwy  \\\n",
       "0           1         audi    a4    1.8  1999    4    auto(l5)   f   18   29   \n",
       "1           2         audi    a4    1.8  1999    4  manual(m5)   f   21   29   \n",
       "2           3         audi    a4    2.0  2008    4  manual(m6)   f   20   31   \n",
       "\n",
       "  fl    class  \n",
       "0  p  compact  \n",
       "1  p  compact  \n",
       "2  p  compact  "
      ]
     },
     "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.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-17T07:26:23.002173Z",
     "iopub.status.busy": "2024-04-17T07:26:23.002085Z",
     "iopub.status.idle": "2024-04-17T07:26:23.004115Z",
     "shell.execute_reply": "2024-04-17T07:26:23.003921Z"
    }
   },
   "outputs": [],
   "source": [
    "p = ggplot(mpg) + theme(axis_title_x='blank')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-17T07:26:23.005207Z",
     "iopub.status.busy": "2024-04-17T07:26:23.005126Z",
     "iopub.status.idle": "2024-04-17T07:26:23.038340Z",
     "shell.execute_reply": "2024-04-17T07:26:23.038149Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\"class\":[\"compact\",\"midsize\",\"suv\",\"2seater\",\"minivan\",\"pickup\",\"subcompact\"]\n",
       "}\n",
       "},{\n",
       "\"geom\":\"point\",\n",
       "\"stat\":\"boxplot_outlier\",\n",
       "\"mapping\":{\n",
       "\"x\":\"class\",\n",
       "\"y\":\"hwy\"\n",
       "},\n",
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       "\"data\":{\n",
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       "\"class\":[\"compact\",\"compact\",\"compact\",\"compact\",\"midsize\",\"suv\",\"suv\",\"suv\",\"suv\",\"suv\",\"suv\",\"suv\",\"suv\",\"2seater\",\"minivan\",\"pickup\",\"pickup\",\"pickup\",\"pickup\",\"subcompact\",\"subcompact\"],\n",
       "\"hwy\":[35.0,37.0,35.0,44.0,NaN,12.0,12.0,25.0,24.0,27.0,25.0,26.0,23.0,NaN,17.0,12.0,12.0,12.0,22.0,44.0,41.0]\n",
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     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "box_plot = (p + \n",
    "            geom_boxplot(aes(as_discrete('class',order=1, order_by='..middle..'), 'hwy'),\n",
    "                         color=\"#579673\", fill=\"#9AC0B3\", size=1.5) +\n",
    "            ggsize(700, 300))\n",
    "box_plot + ggtitle(\"Default\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-17T07:26:23.039417Z",
     "iopub.status.busy": "2024-04-17T07:26:23.039342Z",
     "iopub.status.idle": "2024-04-17T07:26:23.043945Z",
     "shell.execute_reply": "2024-04-17T07:26:23.043771Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "   <div id=\"roQsa1\"></div>\n",
       "   <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
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       "\"hwy\":[35.0,37.0,35.0,44.0,NaN,12.0,12.0,25.0,24.0,27.0,25.0,26.0,23.0,NaN,17.0,12.0,12.0,12.0,22.0,44.0,41.0]\n",
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       "\"metainfo_list\":[]\n",
       "};\n",
       "           var plotContainer = document.getElementById(\"roQsa1\");\n",
       "           window.letsPlotCall(function() {{\n",
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     },
     "execution_count": 5,
     "metadata": {},
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    }
   ],
   "source": [
    "box_plot + ggtitle(\"Flipped\") + coord_flip()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-17T07:26:23.045081Z",
     "iopub.status.busy": "2024-04-17T07:26:23.044916Z",
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     "shell.execute_reply": "2024-04-17T07:26:23.049539Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "   <div id=\"R7hfRb\"></div>\n",
       "   <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
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       "\"geom\":\"bar\",\n",
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       "\"x\":\"manufacturer\",\n",
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       "\"color\":\"class\"\n",
       "},\n",
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       "\"mapping_annotations\":[{\n",
       "\"aes\":\"x\",\n",
       "\"annotation\":\"as_discrete\",\n",
       "\"parameters\":{\n",
       "\"label\":\"manufacturer\",\n",
       "\"order_by\":\"..count..\"\n",
       "}\n",
       "}]\n",
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       "\"size\":1.5,\n",
       "\"alpha\":0.7,\n",
       "\"width\":0.7,\n",
       "\"data\":{\n",
       "\"..count..\":[15.0,2.0,4.0,12.0,14.0,3.0,5.0,7.0,7.0,5.0,7.0,7.0,9.0,7.0,9.0,8.0,4.0,3.0,4.0,4.0,6.0,8.0,5.0,11.0,19.0,7.0,7.0,9.0,9.0,7.0,4.0,6.0],\n",
       "\"manufacturer\":[\"audi\",\"nissan\",\"subaru\",\"toyota\",\"volkswagen\",\"audi\",\"chevrolet\",\"hyundai\",\"nissan\",\"pontiac\",\"toyota\",\"volkswagen\",\"chevrolet\",\"dodge\",\"ford\",\"jeep\",\"land rover\",\"lincoln\",\"mercury\",\"nissan\",\"subaru\",\"toyota\",\"chevrolet\",\"dodge\",\"dodge\",\"ford\",\"toyota\",\"ford\",\"honda\",\"hyundai\",\"subaru\",\"volkswagen\"],\n",
       "\"class\":[\"compact\",\"compact\",\"compact\",\"compact\",\"compact\",\"midsize\",\"midsize\",\"midsize\",\"midsize\",\"midsize\",\"midsize\",\"midsize\",\"suv\",\"suv\",\"suv\",\"suv\",\"suv\",\"suv\",\"suv\",\"suv\",\"suv\",\"suv\",\"2seater\",\"minivan\",\"pickup\",\"pickup\",\"pickup\",\"subcompact\",\"subcompact\",\"subcompact\",\"subcompact\",\"subcompact\"]\n",
       "}\n",
       "}],\n",
       "\"metainfo_list\":[]\n",
       "};\n",
       "           var plotContainer = document.getElementById(\"R7hfRb\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
       "           }});\n",
       "       })();\n",
       "   </script>"
      ],
      "text/plain": [
       "<lets_plot.plot.core.PlotSpec at 0x762e48a165c0>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bar_plot = (p + \n",
    "            geom_bar(aes(as_discrete('manufacturer',order_by='..count..'), fill='class', color='class'),\n",
    "                         size=1.5, alpha=0.7, width=0.7) +\n",
    "            ggsize(800, 300))\n",
    "bar_plot + ggtitle(\"Default\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-17T07:26:23.050630Z",
     "iopub.status.busy": "2024-04-17T07:26:23.050486Z",
     "iopub.status.idle": "2024-04-17T07:26:23.054587Z",
     "shell.execute_reply": "2024-04-17T07:26:23.054414Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "   <div id=\"TVjI4K\"></div>\n",
       "   <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
       "       (function() {\n",
       "           var plotSpec={\n",
       "\"data\":{\n",
       "},\n",
       "\"mapping\":{\n",
       "},\n",
       "\"data_meta\":{\n",
       "},\n",
       "\"theme\":{\n",
       "\"axis_title_x\":\"blank\"\n",
       "},\n",
       "\"ggsize\":{\n",
       "\"width\":800.0,\n",
       "\"height\":300.0\n",
       "},\n",
       "\"ggtitle\":{\n",
       "\"text\":\"Flipped\"\n",
       "},\n",
       "\"coord\":{\n",
       "\"name\":\"flip\",\n",
       "\"flip\":true\n",
       "},\n",
       "\"kind\":\"plot\",\n",
       "\"scales\":[],\n",
       "\"layers\":[{\n",
       "\"geom\":\"bar\",\n",
       "\"mapping\":{\n",
       "\"x\":\"manufacturer\",\n",
       "\"fill\":\"class\",\n",
       "\"color\":\"class\"\n",
       "},\n",
       "\"data_meta\":{\n",
       "\"mapping_annotations\":[{\n",
       "\"aes\":\"x\",\n",
       "\"annotation\":\"as_discrete\",\n",
       "\"parameters\":{\n",
       "\"label\":\"manufacturer\",\n",
       "\"order_by\":\"..count..\"\n",
       "}\n",
       "}]\n",
       "},\n",
       "\"size\":1.5,\n",
       "\"alpha\":0.7,\n",
       "\"width\":0.7,\n",
       "\"data\":{\n",
       "\"..count..\":[15.0,2.0,4.0,12.0,14.0,3.0,5.0,7.0,7.0,5.0,7.0,7.0,9.0,7.0,9.0,8.0,4.0,3.0,4.0,4.0,6.0,8.0,5.0,11.0,19.0,7.0,7.0,9.0,9.0,7.0,4.0,6.0],\n",
       "\"manufacturer\":[\"audi\",\"nissan\",\"subaru\",\"toyota\",\"volkswagen\",\"audi\",\"chevrolet\",\"hyundai\",\"nissan\",\"pontiac\",\"toyota\",\"volkswagen\",\"chevrolet\",\"dodge\",\"ford\",\"jeep\",\"land rover\",\"lincoln\",\"mercury\",\"nissan\",\"subaru\",\"toyota\",\"chevrolet\",\"dodge\",\"dodge\",\"ford\",\"toyota\",\"ford\",\"honda\",\"hyundai\",\"subaru\",\"volkswagen\"],\n",
       "\"class\":[\"compact\",\"compact\",\"compact\",\"compact\",\"compact\",\"midsize\",\"midsize\",\"midsize\",\"midsize\",\"midsize\",\"midsize\",\"midsize\",\"suv\",\"suv\",\"suv\",\"suv\",\"suv\",\"suv\",\"suv\",\"suv\",\"suv\",\"suv\",\"2seater\",\"minivan\",\"pickup\",\"pickup\",\"pickup\",\"subcompact\",\"subcompact\",\"subcompact\",\"subcompact\",\"subcompact\"]\n",
       "}\n",
       "}],\n",
       "\"metainfo_list\":[]\n",
       "};\n",
       "           var plotContainer = document.getElementById(\"TVjI4K\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
       "           }});\n",
       "       })();\n",
       "   </script>"
      ],
      "text/plain": [
       "<lets_plot.plot.core.PlotSpec at 0x762e489e3f10>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bar_plot + ggtitle(\"Flipped\") + coord_flip()"
   ]
  }
 ],
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  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
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