{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Residual plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-17T07:28:10.277825Z",
     "iopub.status.busy": "2024-04-17T07:28:10.277642Z",
     "iopub.status.idle": "2024-04-17T07:28:10.591042Z",
     "shell.execute_reply": "2024-04-17T07:28:10.590736Z"
    }
   },
   "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": "2024-04-17T07:28:10.592600Z",
     "iopub.status.busy": "2024-04-17T07:28:10.592341Z",
     "iopub.status.idle": "2024-04-17T07:28:10.594519Z",
     "shell.execute_reply": "2024-04-17T07:28:10.594279Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "            <div id=\"hq8bZv\"></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(\"hq8bZv\").appendChild(div);\n",
       "                    };\n",
       "                    var e = document.getElementById(\"hq8bZv\");\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": "2024-04-17T07:28:10.607298Z",
     "iopub.status.busy": "2024-04-17T07:28:10.607134Z",
     "iopub.status.idle": "2024-04-17T07:28:10.740635Z",
     "shell.execute_reply": "2024-04-17T07:28:10.740240Z"
    }
   },
   "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": "2024-04-17T07:28:10.741845Z",
     "iopub.status.busy": "2024-04-17T07:28:10.741753Z",
     "iopub.status.idle": "2024-04-17T07:28:11.047540Z",
     "shell.execute_reply": "2024-04-17T07:28:11.047325Z"
    }
   },
   "outputs": [
    {
     "data": {
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       "   <div id=\"DYAeAM\"></div>\n",
       "   <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
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       "           var plotSpec={\n",
       "\"data\":{\n",
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       "           var plotContainer = document.getElementById(\"DYAeAM\");\n",
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      "text/plain": [
       "<lets_plot.plot.core.PlotSpec at 0x72196d599570>"
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     "execution_count": 4,
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    "residual_plot(df, \"petal_length\", \"petal_width\")"
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Scatter plot (`method='none'`)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
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     "shell.execute_reply": "2024-04-17T07:28:11.052264Z"
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   "source": [
    "## Change geom type"
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   "execution_count": 6,
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    "execution": {
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       "           var plotContainer = document.getElementById(\"a0Do2L\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
       "           }});\n",
       "       })();\n",
       "   </script>"
      ],
      "text/plain": [
       "<lets_plot.plot.core.PlotSpec at 0x72196d5cf0d0>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "residual_plot(df, \"petal_length\", \"petal_width\", geom='tile', marginal=\"hist:tr\") + \\\n",
    "    ggsize(600, 200)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Change method"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-17T07:28:11.059304Z",
     "iopub.status.busy": "2024-04-17T07:28:11.059227Z",
     "iopub.status.idle": "2024-04-17T07:28:11.070204Z",
     "shell.execute_reply": "2024-04-17T07:28:11.070026Z"
    }
   },
   "outputs": [
    {
     "data": {
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       "}\n",
       "}],\n",
       "\"metainfo_list\":[]\n",
       "};\n",
       "           var plotContainer = document.getElementById(\"u0OAIQ\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
       "           }});\n",
       "       })();\n",
       "   </script>"
      ],
      "text/plain": [
       "<lets_plot.plot.core.PlotSpec at 0x72196d5de5f0>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "residual_plot(df, \"petal_length\", \"petal_width\", method='loess', span=.25, max_n=25)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Geometries customization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-17T07:28:11.071357Z",
     "iopub.status.busy": "2024-04-17T07:28:11.071281Z",
     "iopub.status.idle": "2024-04-17T07:28:11.080226Z",
     "shell.execute_reply": "2024-04-17T07:28:11.080054Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "   <div id=\"CKvpEM\"></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",
       "\"x\":\"petal_length\",\n",
       "\"y\":\"..residual..\"\n",
       "},\n",
       "\"data_meta\":{\n",
       "},\n",
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       "}\n",
       "}],\n",
       "\"metainfo_list\":[]\n",
       "};\n",
       "           var plotContainer = document.getElementById(\"CKvpEM\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
       "           }});\n",
       "       })();\n",
       "   </script>"
      ],
      "text/plain": [
       "<lets_plot.plot.core.PlotSpec at 0x72196d5e6380>"
      ]
     },
     "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": "2024-04-17T07:28:11.081329Z",
     "iopub.status.busy": "2024-04-17T07:28:11.081239Z",
     "iopub.status.idle": "2024-04-17T07:28:11.090888Z",
     "shell.execute_reply": "2024-04-17T07:28:11.090706Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "   <div id=\"SK6x2A\"></div>\n",
       "   <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\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",
       "},\n",
       "\"size\":5.0,\n",
       "\"shape\":21.0,\n",
       "\"color\":\"black\",\n",
       "\"fill\":\"#feb24c\",\n",
       "\"data\":{\n",
       "}\n",
       "}],\n",
       "\"metainfo_list\":[]\n",
       "};\n",
       "           var plotContainer = document.getElementById(\"SK6x2A\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
       "           }});\n",
       "       })();\n",
       "   </script>"
      ],
      "text/plain": [
       "<lets_plot.plot.core.PlotSpec at 0x72196d5ed930>"
      ]
     },
     "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": "2024-04-17T07:28:11.092077Z",
     "iopub.status.busy": "2024-04-17T07:28:11.091985Z",
     "iopub.status.idle": "2024-04-17T07:28:11.097477Z",
     "shell.execute_reply": "2024-04-17T07:28:11.097292Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "   <div id=\"xsnOAy\"></div>\n",
       "   <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
       "       (function() {\n",
       "           var plotSpec={\n",
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       "}\n",
       "}],\n",
       "\"metainfo_list\":[]\n",
       "};\n",
       "           var plotContainer = document.getElementById(\"xsnOAy\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
       "           }});\n",
       "       })();\n",
       "   </script>"
      ],
      "text/plain": [
       "<lets_plot.plot.core.PlotSpec at 0x72196d5f8af0>"
      ]
     },
     "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": "2024-04-17T07:28:11.098665Z",
     "iopub.status.busy": "2024-04-17T07:28:11.098479Z",
     "iopub.status.idle": "2024-04-17T07:28:11.116141Z",
     "shell.execute_reply": "2024-04-17T07:28:11.115910Z"
    }
   },
   "outputs": [
    {
     "data": {
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       "}\n",
       "}],\n",
       "\"metainfo_list\":[]\n",
       "};\n",
       "           var plotContainer = document.getElementById(\"0Ltote\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
       "           }});\n",
       "       })();\n",
       "   </script>"
      ],
      "text/plain": [
       "<lets_plot.plot.core.PlotSpec at 0x72196d5edb70>"
      ]
     },
     "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": "2024-04-17T07:28:11.117413Z",
     "iopub.status.busy": "2024-04-17T07:28:11.117236Z",
     "iopub.status.idle": "2024-04-17T07:28:11.138313Z",
     "shell.execute_reply": "2024-04-17T07:28:11.138048Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "   <div id=\"ZkXoG7\"></div>\n",
       "   <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
       "       (function() {\n",
       "           var plotSpec={\n",
       "\"data\":{\n",
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       "}\n",
       "}],\n",
       "\"metainfo_list\":[]\n",
       "};\n",
       "           var plotContainer = document.getElementById(\"ZkXoG7\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
       "           }});\n",
       "       })();\n",
       "   </script>"
      ],
      "text/plain": [
       "<lets_plot.plot.core.PlotSpec at 0x72196d5fbca0>"
      ]
     },
     "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": "2024-04-17T07:28:11.139576Z",
     "iopub.status.busy": "2024-04-17T07:28:11.139482Z",
     "iopub.status.idle": "2024-04-17T07:28:11.144192Z",
     "shell.execute_reply": "2024-04-17T07:28:11.144002Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "   <div id=\"vfcWCQ\"></div>\n",
       "   <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
       "       (function() {\n",
       "           var plotSpec={\n",
       "\"data\":{\n",
       "},\n",
       "\"mapping\":{\n",
       "\"x\":\"petal_length\",\n",
       "\"y\":\"..residual..\"\n",
       "},\n",
       "\"data_meta\":{\n",
       "},\n",
       "\"theme\":{\n",
       "\"axis\":\"blank\",\n",
       "\"axis_title_x\":{\n",
       "\"blank\":false\n",
       "},\n",
       "\"axis_title_y\":{\n",
       "\"blank\":false\n",
       "},\n",
       "\"axis_text_x\":{\n",
       "\"blank\":false\n",
       "},\n",
       "\"axis_text_y\":{\n",
       "\"blank\":false\n",
       "},\n",
       "\"axis_ticks_y\":{\n",
       "\"blank\":false\n",
       "},\n",
       "\"axis_line_y\":{\n",
       "\"blank\":false\n",
       "},\n",
       "\"axis_text\":\"blank\",\n",
       "\"axis_ticks\":\"blank\",\n",
       "\"axis_line\":\"blank\"\n",
       "},\n",
       "\"coord\":{\n",
       "\"name\":\"fixed\",\n",
       "\"ratio\":0.25,\n",
       "\"flip\":true\n",
       "},\n",
       "\"kind\":\"plot\",\n",
       "\"scales\":[{\n",
       "\"name\":\"petal_width residual\",\n",
       "\"aesthetic\":\"y\"\n",
       "}],\n",
       "\"layers\":[{\n",
       "\"geom\":\"bin2d\",\n",
       "\"mapping\":{\n",
       "\"fill\":\"..count..\"\n",
       "},\n",
       "\"data_meta\":{\n",
       "},\n",
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       "\"data\":{\n",
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    "residual_plot(df, \"petal_length\", \"petal_width\", geom='tile', binwidth=[.4, .1], marginal='none') + \\\n",
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     "shell.execute_reply": "2024-04-17T07:28:11.149549Z"
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