{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Residual plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-11-05T13:40:25.454581Z",
     "iopub.status.busy": "2025-11-05T13:40:25.454455Z",
     "iopub.status.idle": "2025-11-05T13:40:25.458534Z",
     "shell.execute_reply": "2025-11-05T13:40:25.458355Z"
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "from lets_plot import *\n",
    "from lets_plot.bistro.residual import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-11-05T13:40:25.459428Z",
     "iopub.status.busy": "2025-11-05T13:40:25.459343Z",
     "iopub.status.idle": "2025-11-05T13:40:25.461286Z",
     "shell.execute_reply": "2025-11-05T13:40:25.461043Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "            <div id=\"H0HTEA\"></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@v4.8.0/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",
       "                    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(\"H0HTEA\").appendChild(div);\n",
       "                    };\n",
       "                    var e = document.getElementById(\"H0HTEA\");\n",
       "                    e.appendChild(script);\n",
       "                })()\n",
       "            </script>\n",
       "            "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "LetsPlot.setup_html()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-11-05T13:40:25.474050Z",
     "iopub.status.busy": "2025-11-05T13:40:25.473953Z",
     "iopub.status.idle": "2025-11-05T13:40:25.559906Z",
     "shell.execute_reply": "2025-11-05T13:40:25.559632Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(150, 5)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sepal_length</th>\n",
       "      <th>sepal_width</th>\n",
       "      <th>petal_length</th>\n",
       "      <th>petal_width</th>\n",
       "      <th>species</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   sepal_length  sepal_width  petal_length  petal_width species\n",
       "0           5.1          3.5           1.4          0.2  setosa\n",
       "1           4.9          3.0           1.4          0.2  setosa\n",
       "2           4.7          3.2           1.3          0.2  setosa\n",
       "3           4.6          3.1           1.5          0.2  setosa\n",
       "4           5.0          3.6           1.4          0.2  setosa"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(\"https://raw.githubusercontent.com/JetBrains/lets-plot-docs/master/data/iris.csv\")\n",
    "print(df.shape)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Default plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-11-05T13:40:25.560688Z",
     "iopub.status.busy": "2025-11-05T13:40:25.560616Z",
     "iopub.status.idle": "2025-11-05T13:40:25.858454Z",
     "shell.execute_reply": "2025-11-05T13:40:25.858188Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "   <div id=\"Ix0coF\"></div>\n",
       "   <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
       "   \n",
       "   (function() {\n",
       "   // ----------\n",
       "   \n",
       "   const forceImmediateRender = false;\n",
       "   const responsive = false;\n",
       "   \n",
       "   let sizing = {\n",
       "       width_mode: \"MIN\",\n",
       "       height_mode: \"SCALED\",\n",
       "       width: null, \n",
       "       height: null \n",
       "   };\n",
       "   \n",
       "   const preferredWidth = document.body.dataset.letsPlotPreferredWidth;\n",
       "   if (preferredWidth !== undefined) {\n",
       "       sizing = {\n",
       "           width_mode: 'FIXED',\n",
       "           height_mode: 'SCALED',\n",
       "           width: parseFloat(preferredWidth)\n",
       "       };\n",
       "   }\n",
       "   \n",
       "   const containerDiv = document.getElementById(\"Ix0coF\");\n",
       "   let fig = null;\n",
       "   \n",
       "   function renderPlot() {\n",
       "       if (fig === null) {\n",
       "           const plotSpec = {\n",
       "\"data\":{\n",
       "\"petal_length\":[1.4,1.4,1.3,1.5,1.4,1.7,1.4,1.5,1.4,1.5,1.5,1.6,1.4,1.1,1.2,1.5,1.3,1.4,1.7,1.5,1.7,1.5,1.0,1.7,1.9,1.6,1.6,1.5,1.4,1.6,1.6,1.5,1.5,1.4,1.5,1.2,1.3,1.5,1.3,1.5,1.3,1.3,1.3,1.6,1.9,1.4,1.6,1.4,1.5,1.4,4.7,4.5,4.9,4.0,4.6,4.5,4.7,3.3,4.6,3.9,3.5,4.2,4.0,4.7,3.6,4.4,4.5,4.1,4.5,3.9,4.8,4.0,4.9,4.7,4.3,4.4,4.8,5.0,4.5,3.5,3.8,3.7,3.9,5.1,4.5,4.5,4.7,4.4,4.1,4.0,4.4,4.6,4.0,3.3,4.2,4.2,4.2,4.3,3.0,4.1,6.0,5.1,5.9,5.6,5.8,6.6,4.5,6.3,5.8,6.1,5.1,5.3,5.5,5.0,5.1,5.3,5.5,6.7,6.9,5.0,5.7,4.9,6.7,4.9,5.7,6.0,4.8,4.9,5.6,5.8,6.1,6.4,5.6,5.1,5.6,6.1,5.6,5.5,4.8,5.4,5.6,5.1,5.1,5.9,5.7,5.2,5.0,5.2,5.4,5.1],\n",
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       "\"column\":\"sepal_length\"\n",
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       "\"type\":\"float\",\n",
       "\"column\":\"sepal_width\"\n",
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       "\"type\":\"float\",\n",
       "\"column\":\"petal_length\"\n",
       "},{\n",
       "\"type\":\"float\",\n",
       "\"column\":\"petal_width\"\n",
       "},{\n",
       "\"type\":\"str\",\n",
       "\"column\":\"species\"\n",
       "},{\n",
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       "\"column\":\"..residual..\"\n",
       "}]\n",
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       "\"y\":{\n",
       "\"title\":\"petal_width residual\"\n",
       "}\n",
       "},\n",
       "\"theme\":{\n",
       "\"axis\":\"blank\",\n",
       "\"axis_title_x\":{\n",
       "\"blank\":false\n",
       "},\n",
       "\"axis_title_y\":{\n",
       "\"blank\":false\n",
       "},\n",
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       "},\n",
       "\"axis_text_y\":{\n",
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       "},\n",
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       "}\n",
       "},\n",
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       "\"scales\":[],\n",
       "\"layers\":[{\n",
       "\"geom\":\"point\",\n",
       "\"mapping\":{\n",
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       "\"data_meta\":{\n",
       "},\n",
       "\"data\":{\n",
       "}\n",
       "},{\n",
       "\"geom\":\"hline\",\n",
       "\"mapping\":{\n",
       "},\n",
       "\"data_meta\":{\n",
       "},\n",
       "\"yintercept\":0.0,\n",
       "\"color\":\"magenta\",\n",
       "\"linetype\":\"dashed\",\n",
       "\"data\":{\n",
       "}\n",
       "},{\n",
       "\"geom\":\"area\",\n",
       "\"stat\":\"density\",\n",
       "\"mapping\":{\n",
       "},\n",
       "\"position\":\"identity\",\n",
       "\"data_meta\":{\n",
       "},\n",
       "\"color\":\"pen\",\n",
       "\"fill\":\"pen\",\n",
       "\"alpha\":0.1,\n",
       "\"marginal\":true,\n",
       "\"margin_side\":\"r\",\n",
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       "\"metainfo_list\":[],\n",
       "\"spec_id\":\"1\"\n",
       "};\n",
       "           window.letsPlotCall(function() { fig = LetsPlot.buildPlotFromProcessedSpecs(plotSpec, containerDiv, sizing); });\n",
       "       } else {\n",
       "           fig.updateView({});\n",
       "       }\n",
       "   }\n",
       "   \n",
       "   const renderImmediately = \n",
       "       forceImmediateRender || (\n",
       "           sizing.width_mode === 'FIXED' && \n",
       "           (sizing.height_mode === 'FIXED' || sizing.height_mode === 'SCALED')\n",
       "       );\n",
       "   \n",
       "   if (renderImmediately) {\n",
       "       renderPlot();\n",
       "   }\n",
       "   \n",
       "   if (!renderImmediately || responsive) {\n",
       "       // Set up observer for initial sizing or continuous monitoring\n",
       "       var observer = new ResizeObserver(function(entries) {\n",
       "           for (let entry of entries) {\n",
       "               if (entry.contentBoxSize && \n",
       "                   entry.contentBoxSize[0].inlineSize > 0) {\n",
       "                   if (!responsive && observer) {\n",
       "                       observer.disconnect();\n",
       "                       observer = null;\n",
       "                   }\n",
       "                   renderPlot();\n",
       "                   if (!responsive) {\n",
       "                       break;\n",
       "                   }\n",
       "               }\n",
       "           }\n",
       "       });\n",
       "       \n",
       "       observer.observe(containerDiv);\n",
       "   }\n",
       "   \n",
       "   // ----------\n",
       "   })();\n",
       "   \n",
       "   </script>"
      ],
      "text/plain": [
       "<lets_plot.plot.core.PlotSpec at 0x7cf1600293f0>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "residual_plot(df, \"petal_length\", \"petal_width\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Scatter plot (`method='none'`)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-11-05T13:40:25.859419Z",
     "iopub.status.busy": "2025-11-05T13:40:25.859294Z",
     "iopub.status.idle": "2025-11-05T13:40:25.863773Z",
     "shell.execute_reply": "2025-11-05T13:40:25.863564Z"
    }
   },
   "outputs": [
    {
     "data": {
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       "       forceImmediateRender || (\n",
       "           sizing.width_mode === 'FIXED' && \n",
       "           (sizing.height_mode === 'FIXED' || sizing.height_mode === 'SCALED')\n",
       "       );\n",
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       "                   entry.contentBoxSize[0].inlineSize > 0) {\n",
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      ],
      "text/plain": [
       "<lets_plot.plot.core.PlotSpec at 0x7cf1600405b0>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "residual_plot(df, \"petal_length\", \"petal_width\", method='none', hline=False, marginal='none') + theme_classic()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Change geom type"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-11-05T13:40:25.864628Z",
     "iopub.status.busy": "2025-11-05T13:40:25.864556Z",
     "iopub.status.idle": "2025-11-05T13:40:25.870164Z",
     "shell.execute_reply": "2025-11-05T13:40:25.869961Z"
    }
   },
   "outputs": [
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      "text/plain": [
       "<lets_plot.plot.core.PlotSpec at 0x7cf16002bf10>"
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     },
     "execution_count": 6,
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   ],
   "source": [
    "residual_plot(df, \"petal_length\", \"petal_width\", geom='tile', marginal=\"hist:tr\") + \\\n",
    "    ggsize(600, 200)"
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  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Change method"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "execution": {
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     "iopub.status.idle": "2025-11-05T13:40:25.882349Z",
     "shell.execute_reply": "2025-11-05T13:40:25.882128Z"
    }
   },
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       "}\n",
       "}],\n",
       "\"metainfo_list\":[],\n",
       "\"spec_id\":\"4\"\n",
       "};\n",
       "           window.letsPlotCall(function() { fig = LetsPlot.buildPlotFromProcessedSpecs(plotSpec, containerDiv, sizing); });\n",
       "       } else {\n",
       "           fig.updateView({});\n",
       "       }\n",
       "   }\n",
       "   \n",
       "   const renderImmediately = \n",
       "       forceImmediateRender || (\n",
       "           sizing.width_mode === 'FIXED' && \n",
       "           (sizing.height_mode === 'FIXED' || sizing.height_mode === 'SCALED')\n",
       "       );\n",
       "   \n",
       "   if (renderImmediately) {\n",
       "       renderPlot();\n",
       "   }\n",
       "   \n",
       "   if (!renderImmediately || responsive) {\n",
       "       // Set up observer for initial sizing or continuous monitoring\n",
       "       var observer = new ResizeObserver(function(entries) {\n",
       "           for (let entry of entries) {\n",
       "               if (entry.contentBoxSize && \n",
       "                   entry.contentBoxSize[0].inlineSize > 0) {\n",
       "                   if (!responsive && observer) {\n",
       "                       observer.disconnect();\n",
       "                       observer = null;\n",
       "                   }\n",
       "                   renderPlot();\n",
       "                   if (!responsive) {\n",
       "                       break;\n",
       "                   }\n",
       "               }\n",
       "           }\n",
       "       });\n",
       "       \n",
       "       observer.observe(containerDiv);\n",
       "   }\n",
       "   \n",
       "   // ----------\n",
       "   })();\n",
       "   \n",
       "   </script>"
      ],
      "text/plain": [
       "<lets_plot.plot.core.PlotSpec at 0x7cf16004ffa0>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "residual_plot(df, \"petal_length\", \"petal_width\", method='loess', span=.25, max_n=25, seed=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Geometries customization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-11-05T13:40:25.883162Z",
     "iopub.status.busy": "2025-11-05T13:40:25.883091Z",
     "iopub.status.idle": "2025-11-05T13:40:25.893098Z",
     "shell.execute_reply": "2025-11-05T13:40:25.892895Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "   <div id=\"wLJWT3\"></div>\n",
       "   <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
       "   \n",
       "   (function() {\n",
       "   // ----------\n",
       "   \n",
       "   const forceImmediateRender = false;\n",
       "   const responsive = false;\n",
       "   \n",
       "   let sizing = {\n",
       "       width_mode: \"MIN\",\n",
       "       height_mode: \"SCALED\",\n",
       "       width: null, \n",
       "       height: null \n",
       "   };\n",
       "   \n",
       "   const preferredWidth = document.body.dataset.letsPlotPreferredWidth;\n",
       "   if (preferredWidth !== undefined) {\n",
       "       sizing = {\n",
       "           width_mode: 'FIXED',\n",
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       "           width: parseFloat(preferredWidth)\n",
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       "   \n",
       "   const containerDiv = document.getElementById(\"wLJWT3\");\n",
       "   let fig = null;\n",
       "   \n",
       "   function renderPlot() {\n",
       "       if (fig === null) {\n",
       "           const plotSpec = {\n",
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       "}\n",
       "}],\n",
       "\"metainfo_list\":[],\n",
       "\"spec_id\":\"5\"\n",
       "};\n",
       "           window.letsPlotCall(function() { fig = LetsPlot.buildPlotFromProcessedSpecs(plotSpec, containerDiv, sizing); });\n",
       "       } else {\n",
       "           fig.updateView({});\n",
       "       }\n",
       "   }\n",
       "   \n",
       "   const renderImmediately = \n",
       "       forceImmediateRender || (\n",
       "           sizing.width_mode === 'FIXED' && \n",
       "           (sizing.height_mode === 'FIXED' || sizing.height_mode === 'SCALED')\n",
       "       );\n",
       "   \n",
       "   if (renderImmediately) {\n",
       "       renderPlot();\n",
       "   }\n",
       "   \n",
       "   if (!renderImmediately || responsive) {\n",
       "       // Set up observer for initial sizing or continuous monitoring\n",
       "       var observer = new ResizeObserver(function(entries) {\n",
       "           for (let entry of entries) {\n",
       "               if (entry.contentBoxSize && \n",
       "                   entry.contentBoxSize[0].inlineSize > 0) {\n",
       "                   if (!responsive && observer) {\n",
       "                       observer.disconnect();\n",
       "                       observer = null;\n",
       "                   }\n",
       "                   renderPlot();\n",
       "                   if (!responsive) {\n",
       "                       break;\n",
       "                   }\n",
       "               }\n",
       "           }\n",
       "       });\n",
       "       \n",
       "       observer.observe(containerDiv);\n",
       "   }\n",
       "   \n",
       "   // ----------\n",
       "   })();\n",
       "   \n",
       "   </script>"
      ],
      "text/plain": [
       "<lets_plot.plot.core.PlotSpec at 0x7cf15e427ac0>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "residual_plot(df, \"petal_length\", \"petal_width\", size=5, color=\"#feb24c\", alpha=1/3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-11-05T13:40:25.893862Z",
     "iopub.status.busy": "2025-11-05T13:40:25.893786Z",
     "iopub.status.idle": "2025-11-05T13:40:25.904937Z",
     "shell.execute_reply": "2025-11-05T13:40:25.904729Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "   <div id=\"haidYs\"></div>\n",
       "   <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
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       "   // ----------\n",
       "   \n",
       "   const forceImmediateRender = false;\n",
       "   const responsive = false;\n",
       "   \n",
       "   let sizing = {\n",
       "       width_mode: \"MIN\",\n",
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       "}\n",
       "},{\n",
       "\"geom\":\"hline\",\n",
       "\"mapping\":{\n",
       "},\n",
       "\"data_meta\":{\n",
       "},\n",
       "\"yintercept\":0.0,\n",
       "\"color\":\"black\",\n",
       "\"data\":{\n",
       "}\n",
       "},{\n",
       "\"geom\":\"point\",\n",
       "\"mapping\":{\n",
       "},\n",
       "\"data_meta\":{\n",
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       "\"size\":5.0,\n",
       "\"shape\":21.0,\n",
       "\"color\":\"black\",\n",
       "\"fill\":\"#feb24c\",\n",
       "\"data\":{\n",
       "}\n",
       "}],\n",
       "\"metainfo_list\":[],\n",
       "\"spec_id\":\"6\"\n",
       "};\n",
       "           window.letsPlotCall(function() { fig = LetsPlot.buildPlotFromProcessedSpecs(plotSpec, containerDiv, sizing); });\n",
       "       } else {\n",
       "           fig.updateView({});\n",
       "       }\n",
       "   }\n",
       "   \n",
       "   const renderImmediately = \n",
       "       forceImmediateRender || (\n",
       "           sizing.width_mode === 'FIXED' && \n",
       "           (sizing.height_mode === 'FIXED' || sizing.height_mode === 'SCALED')\n",
       "       );\n",
       "   \n",
       "   if (renderImmediately) {\n",
       "       renderPlot();\n",
       "   }\n",
       "   \n",
       "   if (!renderImmediately || responsive) {\n",
       "       // Set up observer for initial sizing or continuous monitoring\n",
       "       var observer = new ResizeObserver(function(entries) {\n",
       "           for (let entry of entries) {\n",
       "               if (entry.contentBoxSize && \n",
       "                   entry.contentBoxSize[0].inlineSize > 0) {\n",
       "                   if (!responsive && observer) {\n",
       "                       observer.disconnect();\n",
       "                       observer = null;\n",
       "                   }\n",
       "                   renderPlot();\n",
       "                   if (!responsive) {\n",
       "                       break;\n",
       "                   }\n",
       "               }\n",
       "           }\n",
       "       });\n",
       "       \n",
       "       observer.observe(containerDiv);\n",
       "   }\n",
       "   \n",
       "   // ----------\n",
       "   })();\n",
       "   \n",
       "   </script>"
      ],
      "text/plain": [
       "<lets_plot.plot.core.PlotSpec at 0x7cf15e42a9e0>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "residual_plot(df, \"petal_length\", \"petal_width\", geom='none', color=\"black\", hline=False) + \\\n",
    "    geom_hline(yintercept=0, color=\"black\") + \\\n",
    "    geom_point(size=5, shape=21, color=\"black\", fill=\"#feb24c\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-11-05T13:40:25.905657Z",
     "iopub.status.busy": "2025-11-05T13:40:25.905578Z",
     "iopub.status.idle": "2025-11-05T13:40:25.911498Z",
     "shell.execute_reply": "2025-11-05T13:40:25.911297Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "   <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
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       "\"metainfo_list\":[],\n",
       "\"spec_id\":\"7\"\n",
       "};\n",
       "           window.letsPlotCall(function() { fig = LetsPlot.buildPlotFromProcessedSpecs(plotSpec, containerDiv, sizing); });\n",
       "       } else {\n",
       "           fig.updateView({});\n",
       "       }\n",
       "   }\n",
       "   \n",
       "   const renderImmediately = \n",
       "       forceImmediateRender || (\n",
       "           sizing.width_mode === 'FIXED' && \n",
       "           (sizing.height_mode === 'FIXED' || sizing.height_mode === 'SCALED')\n",
       "       );\n",
       "   \n",
       "   if (renderImmediately) {\n",
       "       renderPlot();\n",
       "   }\n",
       "   \n",
       "   if (!renderImmediately || responsive) {\n",
       "       // Set up observer for initial sizing or continuous monitoring\n",
       "       var observer = new ResizeObserver(function(entries) {\n",
       "           for (let entry of entries) {\n",
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       "                   renderPlot();\n",
       "                   if (!responsive) {\n",
       "                       break;\n",
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       "       \n",
       "       observer.observe(containerDiv);\n",
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       "   \n",
       "   </script>"
      ],
      "text/plain": [
       "<lets_plot.plot.core.PlotSpec at 0x7cf15e42b130>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "residual_plot(df, \"petal_length\", \"petal_width\", hline=False, marginal='none') + \\\n",
    "    geom_smooth(method='loess', se=True, level=.99, seed=42)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Marginal layers customization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-11-05T13:40:25.912217Z",
     "iopub.status.busy": "2025-11-05T13:40:25.912144Z",
     "iopub.status.idle": "2025-11-05T13:40:25.930511Z",
     "shell.execute_reply": "2025-11-05T13:40:25.930279Z"
    }
   },
   "outputs": [
    {
     "data": {
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       "},\n",
       "\"mapping\":{\n",
       "\"x\":\"petal_length\",\n",
       "\"y\":\"..residual..\"\n",
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       "\"type\":\"float\",\n",
       "\"column\":\"sepal_width\"\n",
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       "\"type\":\"float\",\n",
       "\"column\":\"petal_length\"\n",
       "},{\n",
       "\"type\":\"float\",\n",
       "\"column\":\"petal_width\"\n",
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       "\"column\":\"species\"\n",
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       "\"type\":\"float\",\n",
       "\"column\":\"..residual..\"\n",
       "}]\n",
       "},\n",
       "\"guides\":{\n",
       "\"y\":{\n",
       "\"title\":\"petal_width residual\"\n",
       "}\n",
       "},\n",
       "\"theme\":{\n",
       "\"name\":\"minimal\"\n",
       "},\n",
       "\"kind\":\"plot\",\n",
       "\"scales\":[],\n",
       "\"layers\":[{\n",
       "\"geom\":\"point\",\n",
       "\"mapping\":{\n",
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       "\"color\":\"black\",\n",
       "\"data\":{\n",
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       "\"data_meta\":{\n",
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       "\"yintercept\":0.0,\n",
       "\"color\":\"magenta\",\n",
       "\"linetype\":\"dashed\",\n",
       "\"data\":{\n",
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       "\"geom\":\"boxplot\",\n",
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       "\"data_meta\":{\n",
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       "\"color\":\"black\",\n",
       "\"fill\":\"black\",\n",
       "\"alpha\":0.1,\n",
       "\"marginal\":true,\n",
       "\"margin_side\":\"l\",\n",
       "\"margin_size\":0.03,\n",
       "\"x\":0.0,\n",
       "\"data\":{\n",
       "\"..x..\":[0.0],\n",
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       "\"..lower..\":[-0.12408822361049676],\n",
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       "}\n",
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       "\"metainfo_list\":[],\n",
       "\"spec_id\":\"8\"\n",
       "};\n",
       "           window.letsPlotCall(function() { fig = LetsPlot.buildPlotFromProcessedSpecs(plotSpec, containerDiv, sizing); });\n",
       "       } else {\n",
       "           fig.updateView({});\n",
       "       }\n",
       "   }\n",
       "   \n",
       "   const renderImmediately = \n",
       "       forceImmediateRender || (\n",
       "           sizing.width_mode === 'FIXED' && \n",
       "           (sizing.height_mode === 'FIXED' || sizing.height_mode === 'SCALED')\n",
       "       );\n",
       "   \n",
       "   if (renderImmediately) {\n",
       "       renderPlot();\n",
       "   }\n",
       "   \n",
       "   if (!renderImmediately || responsive) {\n",
       "       // Set up observer for initial sizing or continuous monitoring\n",
       "       var observer = new ResizeObserver(function(entries) {\n",
       "           for (let entry of entries) {\n",
       "               if (entry.contentBoxSize && \n",
       "                   entry.contentBoxSize[0].inlineSize > 0) {\n",
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       "                       observer.disconnect();\n",
       "                       observer = null;\n",
       "                   }\n",
       "                   renderPlot();\n",
       "                   if (!responsive) {\n",
       "                       break;\n",
       "                   }\n",
       "               }\n",
       "           }\n",
       "       });\n",
       "       \n",
       "       observer.observe(containerDiv);\n",
       "   }\n",
       "   \n",
       "   // ----------\n",
       "   })();\n",
       "   \n",
       "   </script>"
      ],
      "text/plain": [
       "<lets_plot.plot.core.PlotSpec at 0x7cf15e443100>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "residual_plot(df, \"petal_length\", \"petal_width\", marginal=\"box:lb:.03,hist:t:.4,hist:r\", color=\"black\") + \\\n",
    "    ggmarginal(\"tr\", layer=geom_area(stat='density', color=\"magenta\", fill=\"magenta\", alpha=.1)) + \\\n",
    "    theme_minimal()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Grouping"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-11-05T13:40:25.931264Z",
     "iopub.status.busy": "2025-11-05T13:40:25.931185Z",
     "iopub.status.idle": "2025-11-05T13:40:25.953267Z",
     "shell.execute_reply": "2025-11-05T13:40:25.953005Z"
    }
   },
   "outputs": [
    {
     "data": {
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       "}\n",
       "}],\n",
       "\"metainfo_list\":[],\n",
       "\"spec_id\":\"9\"\n",
       "};\n",
       "           window.letsPlotCall(function() { fig = LetsPlot.buildPlotFromProcessedSpecs(plotSpec, containerDiv, sizing); });\n",
       "       } else {\n",
       "           fig.updateView({});\n",
       "       }\n",
       "   }\n",
       "   \n",
       "   const renderImmediately = \n",
       "       forceImmediateRender || (\n",
       "           sizing.width_mode === 'FIXED' && \n",
       "           (sizing.height_mode === 'FIXED' || sizing.height_mode === 'SCALED')\n",
       "       );\n",
       "   \n",
       "   if (renderImmediately) {\n",
       "       renderPlot();\n",
       "   }\n",
       "   \n",
       "   if (!renderImmediately || responsive) {\n",
       "       // Set up observer for initial sizing or continuous monitoring\n",
       "       var observer = new ResizeObserver(function(entries) {\n",
       "           for (let entry of entries) {\n",
       "               if (entry.contentBoxSize && \n",
       "                   entry.contentBoxSize[0].inlineSize > 0) {\n",
       "                   if (!responsive && observer) {\n",
       "                       observer.disconnect();\n",
       "                       observer = null;\n",
       "                   }\n",
       "                   renderPlot();\n",
       "                   if (!responsive) {\n",
       "                       break;\n",
       "                   }\n",
       "               }\n",
       "           }\n",
       "       });\n",
       "       \n",
       "       observer.observe(containerDiv);\n",
       "   }\n",
       "   \n",
       "   // ----------\n",
       "   })();\n",
       "   \n",
       "   </script>"
      ],
      "text/plain": [
       "<lets_plot.plot.core.PlotSpec at 0x7cf173c73880>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "residual_plot(df, \"petal_length\", \"petal_width\", color_by=\"species\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Interaction with other layers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-11-05T13:40:25.954069Z",
     "iopub.status.busy": "2025-11-05T13:40:25.953996Z",
     "iopub.status.idle": "2025-11-05T13:40:25.959709Z",
     "shell.execute_reply": "2025-11-05T13:40:25.959502Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "   <div id=\"koQQbl\"></div>\n",
       "   <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
       "   \n",
       "   (function() {\n",
       "   // ----------\n",
       "   \n",
       "   const forceImmediateRender = false;\n",
       "   const responsive = false;\n",
       "   \n",
       "   let sizing = {\n",
       "       width_mode: \"MIN\",\n",
       "       height_mode: \"SCALED\",\n",
       "       width: null, \n",
       "       height: null \n",
       "   };\n",
       "   \n",
       "   const preferredWidth = document.body.dataset.letsPlotPreferredWidth;\n",
       "   if (preferredWidth !== undefined) {\n",
       "       sizing = {\n",
       "           width_mode: 'FIXED',\n",
       "           height_mode: 'SCALED',\n",
       "           width: parseFloat(preferredWidth)\n",
       "       };\n",
       "   }\n",
       "   \n",
       "   const containerDiv = document.getElementById(\"koQQbl\");\n",
       "   let fig = null;\n",
       "   \n",
       "   function renderPlot() {\n",
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    "residual_plot(df, \"petal_length\", \"petal_width\", geom='tile', binwidth=[.4, .1], marginal='none') + \\\n",
    "    coord_fixed(ratio=.25, flip=True) + \\\n",
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