{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "employed-rebate",
   "metadata": {},
   "source": [
    "# Annotated Barchart\n",
    "\n",
    "Use the `labels` parameter to create an annotated Barchart.\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "arranged-meter",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "from lets_plot import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "remarkable-toolbox",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "            <div id=\"QVZ07T\"></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@v4.1.0rc1/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(\"QVZ07T\").appendChild(div);\n",
       "                    };\n",
       "                    var e = document.getElementById(\"QVZ07T\");\n",
       "                    e.appendChild(script);\n",
       "                })()\n",
       "            </script>\n",
       "            "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "LetsPlot.setup_html()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "faced-integral",
   "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>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",
       "  </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",
       "3           4         audi    a4    2.0  2008    4    auto(av)   f   21   30   \n",
       "\n",
       "  fl    class  \n",
       "0  p  compact  \n",
       "1  p  compact  \n",
       "2  p  compact  \n",
       "3  p  compact  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mpg_df = pd.read_csv (\"https://raw.githubusercontent.com/JetBrains/lets-plot-docs/master/data/mpg.csv\")\n",
    "mpg_df.head(4)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "72ed6d0b-27f3-4f7a-82a1-7b93205a1092",
   "metadata": {},
   "source": [
    "#### Configure Layer Labels Using API Similar to the Tooltip Configuration API"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "8083daa6-66c4-47d1-84ee-014ed78df766",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "   <div id=\"n5yOig\"></div>\n",
       "   <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
       "       (function() {\n",
       "           var plotSpec={\n",
       "\"kind\":\"subplots\",\n",
       "\"layout\":{\n",
       "\"ncol\":2.0,\n",
       "\"nrow\":1.0,\n",
       "\"widths\":[1.0,1.2],\n",
       "\"name\":\"grid\"\n",
       "},\n",
       "\"figures\":[{\n",
       "\"data\":{\n",
       "},\n",
       "\"mapping\":{\n",
       "},\n",
       "\"data_meta\":{\n",
       "},\n",
       "\"kind\":\"plot\",\n",
       "\"scales\":[],\n",
       "\"layers\":[{\n",
       "\"geom\":\"bar\",\n",
       "\"mapping\":{\n",
       "\"x\":\"trans\"\n",
       "},\n",
       "\"data_meta\":{\n",
       "},\n",
       "\"labels\":{\n",
       "\"formats\":[],\n",
       "\"lines\":[\"@..count..\"]\n",
       "},\n",
       "\"data\":{\n",
       "\"..count..\":[39.0,58.0,19.0,5.0,16.0,83.0,2.0,6.0,3.0,3.0],\n",
       "\"trans\":[\"auto(l5)\",\"manual(m5)\",\"manual(m6)\",\"auto(av)\",\"auto(s6)\",\"auto(l4)\",\"auto(l3)\",\"auto(l6)\",\"auto(s5)\",\"auto(s4)\"]\n",
       "}\n",
       "}],\n",
       "\"metainfo_list\":[]\n",
       "},{\n",
       "\"data\":{\n",
       "},\n",
       "\"mapping\":{\n",
       "},\n",
       "\"data_meta\":{\n",
       "},\n",
       "\"coord\":{\n",
       "\"name\":\"flip\",\n",
       "\"flip\":true\n",
       "},\n",
       "\"kind\":\"plot\",\n",
       "\"scales\":[],\n",
       "\"layers\":[{\n",
       "\"geom\":\"bar\",\n",
       "\"stat\":\"sum\",\n",
       "\"mapping\":{\n",
       "\"x\":\"trans\",\n",
       "\"y\":\"..n..\"\n",
       "},\n",
       "\"data_meta\":{\n",
       "},\n",
       "\"labels\":{\n",
       "\"formats\":[],\n",
       "\"lines\":[\"@..proppct..\"]\n",
       "},\n",
       "\"size\":0.0,\n",
       "\"data\":{\n",
       "\"..proppct..\":[16.666666666666664,24.786324786324787,8.11965811965812,2.1367521367521367,6.837606837606838,35.47008547008547,0.8547008547008548,2.564102564102564,1.282051282051282,1.282051282051282],\n",
       "\"..n..\":[39.0,58.0,19.0,5.0,16.0,83.0,2.0,6.0,3.0,3.0],\n",
       "\"trans\":[\"auto(l5)\",\"manual(m5)\",\"manual(m6)\",\"auto(av)\",\"auto(s6)\",\"auto(l4)\",\"auto(l3)\",\"auto(l6)\",\"auto(s5)\",\"auto(s4)\"]\n",
       "}\n",
       "}],\n",
       "\"metainfo_list\":[]\n",
       "}]\n",
       "};\n",
       "           var plotContainer = document.getElementById(\"n5yOig\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
       "           }});\n",
       "       })();    \n",
       "   </script>"
      ],
      "text/plain": [
       "<lets_plot.plot.subplots.SupPlotsSpec at 0x7f7e3810d9a0>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gggrid([\n",
    "    ggplot(mpg_df) + geom_bar(aes(\"trans\"),\n",
    "                              labels=layer_labels().line('@..count..')),\n",
    "    ggplot(mpg_df) + geom_bar(aes(\"trans\", y=\"..n..\"), stat=\"sum\", size=0,\n",
    "                              labels=layer_labels().line('@..proppct..')) + coord_flip()\n",
    "], widths=[1, 1.2])    \n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "economic-overview",
   "metadata": {},
   "source": [
    "#### Stacked Bars"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "temporal-alias",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "   <div id=\"16HzXM\"></div>\n",
       "   <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
       "       (function() {\n",
       "           var plotSpec={\n",
       "\"data\":{\n",
       "},\n",
       "\"mapping\":{\n",
       "\"x\":\"class\",\n",
       "\"fill\":\"drv\"\n",
       "},\n",
       "\"data_meta\":{\n",
       "},\n",
       "\"ggsize\":{\n",
       "\"width\":700.0,\n",
       "\"height\":400.0\n",
       "},\n",
       "\"kind\":\"plot\",\n",
       "\"scales\":[],\n",
       "\"layers\":[{\n",
       "\"geom\":\"bar\",\n",
       "\"mapping\":{\n",
       "},\n",
       "\"data_meta\":{\n",
       "},\n",
       "\"labels\":{\n",
       "\"formats\":[{\n",
       "\"field\":\"..proppct..\",\n",
       "\"format\":\"{d} %\"\n",
       "}],\n",
       "\"lines\":[\"@..proppct..\"]\n",
       "},\n",
       "\"data\":{\n",
       "\"..count..\":[35.0,38.0,11.0,22.0,12.0,3.0,51.0,33.0,4.0,11.0,5.0,9.0],\n",
       "\"class\":[\"compact\",\"midsize\",\"minivan\",\"subcompact\",\"compact\",\"midsize\",\"suv\",\"pickup\",\"subcompact\",\"suv\",\"2seater\",\"subcompact\"],\n",
       "\"drv\":[\"f\",\"f\",\"f\",\"f\",\"4\",\"4\",\"4\",\"4\",\"4\",\"r\",\"r\",\"r\"],\n",
       "\"..proppct..\":[74.46808510638297,92.6829268292683,100.0,62.857142857142854,25.53191489361702,7.317073170731707,82.25806451612904,100.0,11.428571428571429,17.741935483870968,100.0,25.71428571428571]\n",
       "}\n",
       "}],\n",
       "\"metainfo_list\":[]\n",
       "};\n",
       "           var plotContainer = document.getElementById(\"16HzXM\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
       "           }});\n",
       "       })();    \n",
       "   </script>"
      ],
      "text/plain": [
       "<lets_plot.plot.core.PlotSpec at 0x7f7e82225220>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ggplot(mpg_df, aes('class', fill='drv')) + \\\n",
    "    geom_bar(labels=layer_labels().line('@..proppct..').format('..proppct..', '{d} %')) + \\\n",
    "    ggsize(700, 400)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "ambient-science",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "   <div id=\"rWYAPS\"></div>\n",
       "   <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
       "       (function() {\n",
       "           var plotSpec={\n",
       "\"data\":{\n",
       "},\n",
       "\"mapping\":{\n",
       "\"x\":\"class\",\n",
       "\"fill\":\"drv\"\n",
       "},\n",
       "\"data_meta\":{\n",
       "},\n",
       "\"coord\":{\n",
       "\"name\":\"flip\",\n",
       "\"flip\":true\n",
       "},\n",
       "\"ggsize\":{\n",
       "\"width\":700.0,\n",
       "\"height\":400.0\n",
       "},\n",
       "\"kind\":\"plot\",\n",
       "\"scales\":[],\n",
       "\"layers\":[{\n",
       "\"geom\":\"bar\",\n",
       "\"mapping\":{\n",
       "},\n",
       "\"position\":\"fill\",\n",
       "\"data_meta\":{\n",
       "},\n",
       "\"labels\":{\n",
       "\"formats\":[{\n",
       "\"field\":\"..proppct..\",\n",
       "\"format\":\"{d} %\"\n",
       "}],\n",
       "\"lines\":[\"@..proppct..\"]\n",
       "},\n",
       "\"data\":{\n",
       "\"..count..\":[35.0,38.0,11.0,22.0,12.0,3.0,51.0,33.0,4.0,11.0,5.0,9.0],\n",
       "\"class\":[\"compact\",\"midsize\",\"minivan\",\"subcompact\",\"compact\",\"midsize\",\"suv\",\"pickup\",\"subcompact\",\"suv\",\"2seater\",\"subcompact\"],\n",
       "\"drv\":[\"f\",\"f\",\"f\",\"f\",\"4\",\"4\",\"4\",\"4\",\"4\",\"r\",\"r\",\"r\"],\n",
       "\"..proppct..\":[74.46808510638297,92.6829268292683,100.0,62.857142857142854,25.53191489361702,7.317073170731707,82.25806451612904,100.0,11.428571428571429,17.741935483870968,100.0,25.71428571428571]\n",
       "}\n",
       "}],\n",
       "\"metainfo_list\":[]\n",
       "};\n",
       "           var plotContainer = document.getElementById(\"rWYAPS\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
       "           }});\n",
       "       })();    \n",
       "   </script>"
      ],
      "text/plain": [
       "<lets_plot.plot.core.PlotSpec at 0x7f7e82227eb0>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ggplot(mpg_df, aes('class', fill='drv')) + \\\n",
    "    geom_bar(labels=layer_labels().line('@..proppct..').format('..proppct..', '{d} %'), \n",
    "             position='fill') + \\\n",
    "    coord_flip() + \\\n",
    "    ggsize(700, 400)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "vertical-phrase",
   "metadata": {},
   "source": [
    "#### Narrow Bars\n",
    "Too thin for labels to fit in. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "excited-darwin",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "   <div id=\"N96pF7\"></div>\n",
       "   <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
       "       (function() {\n",
       "           var plotSpec={\n",
       "\"data\":{\n",
       "},\n",
       "\"mapping\":{\n",
       "\"x\":\"class\",\n",
       "\"fill\":\"drv\"\n",
       "},\n",
       "\"data_meta\":{\n",
       "},\n",
       "\"ggsize\":{\n",
       "\"width\":700.0,\n",
       "\"height\":400.0\n",
       "},\n",
       "\"kind\":\"plot\",\n",
       "\"scales\":[],\n",
       "\"layers\":[{\n",
       "\"geom\":\"bar\",\n",
       "\"mapping\":{\n",
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       "\"position\":\"dodge\",\n",
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       "\"labels\":{\n",
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       "\"..count..\":[35.0,38.0,11.0,22.0,12.0,3.0,51.0,33.0,4.0,11.0,5.0,9.0],\n",
       "\"class\":[\"compact\",\"midsize\",\"minivan\",\"subcompact\",\"compact\",\"midsize\",\"suv\",\"pickup\",\"subcompact\",\"suv\",\"2seater\",\"subcompact\"],\n",
       "\"drv\":[\"f\",\"f\",\"f\",\"f\",\"4\",\"4\",\"4\",\"4\",\"4\",\"r\",\"r\",\"r\"],\n",
       "\"..proppct..\":[74.46808510638297,92.6829268292683,100.0,62.857142857142854,25.53191489361702,7.317073170731707,82.25806451612904,100.0,11.428571428571429,17.741935483870968,100.0,25.71428571428571]\n",
       "}\n",
       "}],\n",
       "\"metainfo_list\":[]\n",
       "};\n",
       "           var plotContainer = document.getElementById(\"N96pF7\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
       "           }});\n",
       "       })();    \n",
       "   </script>"
      ],
      "text/plain": [
       "<lets_plot.plot.core.PlotSpec at 0x7f7e822277c0>"
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     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ggplot(mpg_df, aes('class', fill='drv')) + \\\n",
    "    geom_bar(labels=layer_labels().line('@..proppct..').format('..proppct..', '{d} %'),\n",
    "             position='dodge') + \\\n",
    "    ggsize(700, 400)"
   ]
  }
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