{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Using Lets-Plot to create Scatter Matrix\n",
    "\n",
    "This is an advanced example demonstrating the technique that can be used to plot **Scatter Matrix** using *GGBunch* feature of *lets-plot* library.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-26T12:05:01.599310Z",
     "iopub.status.busy": "2024-04-26T12:05:01.599310Z",
     "iopub.status.idle": "2024-04-26T12:05:02.039503Z",
     "shell.execute_reply": "2024-04-26T12:05:02.039503Z"
    }
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-26T12:05:02.039503Z",
     "iopub.status.busy": "2024-04-26T12:05:02.039503Z",
     "iopub.status.idle": "2024-04-26T12:05:02.055112Z",
     "shell.execute_reply": "2024-04-26T12:05:02.055112Z"
    }
   },
   "outputs": [],
   "source": [
    "from itertools import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-26T12:05:02.055112Z",
     "iopub.status.busy": "2024-04-26T12:05:02.055112Z",
     "iopub.status.idle": "2024-04-26T12:05:02.651109Z",
     "shell.execute_reply": "2024-04-26T12:05:02.651109Z"
    }
   },
   "outputs": [],
   "source": [
    "from sklearn.datasets import load_iris\n",
    "\n",
    "iris_bunch = load_iris()\n",
    "\n",
    "X, y = pd.DataFrame(iris_bunch.data, columns=iris_bunch.feature_names), iris_bunch.target"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-26T12:05:02.651109Z",
     "iopub.status.busy": "2024-04-26T12:05:02.651109Z",
     "iopub.status.idle": "2024-04-26T12:05:02.713760Z",
     "shell.execute_reply": "2024-04-26T12:05:02.713760Z"
    }
   },
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "X_train_val, X_test, y_train_val, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n",
    "X_train, X_val, y_train, y_val = train_test_split(X_train_val, y_train_val, test_size=0.1, random_state=42)\n",
    "\n",
    "X = X_train"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### What is a scatter matrix?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-26T12:05:02.716383Z",
     "iopub.status.busy": "2024-04-26T12:05:02.716383Z",
     "iopub.status.idle": "2024-04-26T12:05:03.878310Z",
     "shell.execute_reply": "2024-04-26T12:05:03.878310Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 16 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from pandas.plotting import scatter_matrix\n",
    "\n",
    "scatter_matrix(X, figsize=(10,6));"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-26T12:05:03.894061Z",
     "iopub.status.busy": "2024-04-26T12:05:03.894061Z",
     "iopub.status.idle": "2024-04-26T12:05:03.909747Z",
     "shell.execute_reply": "2024-04-26T12:05:03.909747Z"
    }
   },
   "outputs": [],
   "source": [
    "features = X.columns.values"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Lets-Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-26T12:05:03.909747Z",
     "iopub.status.busy": "2024-04-26T12:05:03.909747Z",
     "iopub.status.idle": "2024-04-26T12:05:04.207553Z",
     "shell.execute_reply": "2024-04-26T12:05:04.207553Z"
    }
   },
   "outputs": [],
   "source": [
    "from lets_plot import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-26T12:05:04.207553Z",
     "iopub.status.busy": "2024-04-26T12:05:04.207553Z",
     "iopub.status.idle": "2024-04-26T12:05:04.223368Z",
     "shell.execute_reply": "2024-04-26T12:05:04.223368Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "            <div id=\"J7jiht\"></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@v4.3.2/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(\"J7jiht\").appendChild(div);\n",
       "                    };\n",
       "                    var e = document.getElementById(\"J7jiht\");\n",
       "                    e.appendChild(script);\n",
       "                })()\n",
       "            </script>\n",
       "            "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "LetsPlot.setup_html()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Scatter plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-26T12:05:04.223368Z",
     "iopub.status.busy": "2024-04-26T12:05:04.223368Z",
     "iopub.status.idle": "2024-04-26T12:05:04.349513Z",
     "shell.execute_reply": "2024-04-26T12:05:04.349513Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "   <div id=\"hFvX7e\"></div>\n",
       "   <script type=\"text/javascript\" data-lets-plot-script=\"plot\">\n",
       "       (function() {\n",
       "           var plotSpec={\n",
       "\"data\":{\n",
       "\"sepal length (cm)\":[6.0,5.7,5.2,4.5,6.5,4.6,5.7,4.9,5.5,5.4,4.8,4.6,6.0,6.7,5.5,5.4,6.8,6.7,7.7,4.7,5.6,7.3,5.8,6.3,6.3,5.5,5.8,5.2,5.1,5.8,7.2,5.1,5.1,6.9,6.3,6.1,6.0,6.2,5.0,5.1,6.3,4.4,5.6,5.9,5.2,5.8,4.4,4.3,6.4,5.0,7.2,5.6,6.7,5.0,5.4,5.1,4.8,6.4,4.6,5.8,6.4,6.3,6.4,5.3,6.7,6.4,6.5,6.2,6.2,6.9,4.9,6.1,5.5,5.5,5.0,5.4,7.2,5.0,4.6,5.0,5.6,5.9,6.1,6.9,7.7,5.0,6.1,5.7,5.0,7.6,6.7,5.1,6.7,4.9,6.5,5.7,6.3,5.9,7.0,7.1,5.7,5.1,5.1,7.4,5.4,6.6,5.0,4.9],\n",
       "\"sepal width (cm)\":[3.4,3.0,2.7,2.3,3.0,3.6,2.6,3.0,2.5,3.0,3.4,3.1,3.0,3.1,2.4,3.4,3.0,3.3,2.8,3.2,3.0,2.9,2.8,2.3,2.7,2.4,2.6,4.1,3.3,2.7,3.2,3.8,3.7,3.1,2.5,3.0,2.2,2.9,2.3,3.4,2.8,2.9,2.7,3.0,3.5,2.7,3.0,3.0,3.2,3.5,3.6,3.0,3.3,3.6,3.9,3.8,3.4,3.1,3.2,4.0,3.2,3.3,2.9,3.7,3.0,2.7,2.8,3.4,2.8,3.2,2.5,2.9,2.6,4.2,3.5,3.9,3.0,3.4,3.4,3.0,2.8,3.2,2.6,3.1,3.8,2.0,2.8,4.4,3.2,3.0,3.1,3.5,3.1,2.4,3.0,2.8,3.4,3.0,3.2,3.0,2.9,2.5,3.5,2.8,3.7,2.9,3.3,3.6]\n",
       "},\n",
       "\"mapping\":{\n",
       "},\n",
       "\"data_meta\":{\n",
       "},\n",
       "\"ggsize\":{\n",
       "\"width\":200.0,\n",
       "\"height\":200.0\n",
       "},\n",
       "\"kind\":\"plot\",\n",
       "\"scales\":[],\n",
       "\"layers\":[{\n",
       "\"geom\":\"point\",\n",
       "\"mapping\":{\n",
       "\"x\":\"sepal length (cm)\",\n",
       "\"y\":\"sepal width (cm)\"\n",
       "},\n",
       "\"data_meta\":{\n",
       "},\n",
       "\"data\":{\n",
       "}\n",
       "}],\n",
       "\"metainfo_list\":[]\n",
       "};\n",
       "           var plotContainer = document.getElementById(\"hFvX7e\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
       "           }});\n",
       "       })();\n",
       "   </script>"
      ],
      "text/plain": [
       "<lets_plot.plot.core.PlotSpec at 0x21fc1c1ee60>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ggplot(data=X) + geom_point(aes(x=features[0], y=features[1])) + ggsize(200, 200)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Histogram"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-26T12:05:04.349513Z",
     "iopub.status.busy": "2024-04-26T12:05:04.349513Z",
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       "}\n",
       "}],\n",
       "\"metainfo_list\":[]\n",
       "};\n",
       "           var plotContainer = document.getElementById(\"nU7yWY\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
       "           }});\n",
       "       })();\n",
       "   </script>"
      ],
      "text/plain": [
       "<lets_plot.plot.core.PlotSpec at 0x21fc735cd00>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ggplot(data=X) \\\n",
    "        + geom_histogram(aes(features[0], y='..density..'), alpha=0.7) \\\n",
    "        + geom_density(aes(features[0]), color='red', linetype='dashed', size=1) \\\n",
    "        + ggsize(200, 200)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We want y labels only for the left-most blocks and x labels only for the bottom-most blocks. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-26T12:05:04.429012Z",
     "iopub.status.busy": "2024-04-26T12:05:04.429012Z",
     "iopub.status.idle": "2024-04-26T12:05:04.444836Z",
     "shell.execute_reply": "2024-04-26T12:05:04.444836Z"
    }
   },
   "outputs": [],
   "source": [
    "def scatter_plot(data, feat1, feat2, x_lab= True, y_lab = True, width=200, height=200):\n",
    "    p = ggplot(data) + geom_point(aes(feat1, feat2)) + ggsize(width, height)\n",
    "    if not x_lab:\n",
    "        p += labs(x='')\n",
    "    if not y_lab:\n",
    "        p += labs(y='')\n",
    "\n",
    "    p += theme_void()\n",
    "    return p"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-26T12:05:04.444836Z",
     "iopub.status.busy": "2024-04-26T12:05:04.444836Z",
     "iopub.status.idle": "2024-04-26T12:05:04.460443Z",
     "shell.execute_reply": "2024-04-26T12:05:04.460443Z"
    }
   },
   "outputs": [],
   "source": [
    "def hist(data, feat, x_lab= True, y_lab = True, width=200, height=200):\n",
    "    p = ggplot(data) + geom_histogram(aes(feat, '..density..'), alpha=0.7) + ggsize(width, height) \\\n",
    "        + geom_density(aes(feat), color='red', linetype='dashed', size=1)\n",
    "    if not x_lab:\n",
    "        p += labs(x='')\n",
    "    if not y_lab:\n",
    "        p += labs(y='')\n",
    "    else:\n",
    "        p += labs(y=feat)\n",
    "\n",
    "    p += theme_void()\n",
    "    return p"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Make a scatter matrix using `GGBunch`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-26T12:05:04.460443Z",
     "iopub.status.busy": "2024-04-26T12:05:04.460443Z",
     "iopub.status.idle": "2024-04-26T12:05:04.586147Z",
     "shell.execute_reply": "2024-04-26T12:05:04.586147Z"
    }
   },
   "outputs": [
    {
     "data": {
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       "}\n",
       "}],\n",
       "\"metainfo_list\":[]\n",
       "}\n",
       "}]\n",
       "};\n",
       "           var plotContainer = document.getElementById(\"upWtBN\");\n",
       "           window.letsPlotCall(function() {{\n",
       "               LetsPlot.buildPlotFromProcessedSpecs(plotSpec, -1, -1, plotContainer);\n",
       "           }});\n",
       "       })();\n",
       "   </script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "features = X.columns.values\n",
    "n_feat = len(features)\n",
    "\n",
    "bunch = GGBunch()\n",
    "\n",
    "x0, y0 = 0, 0\n",
    "row, col = 0, 0\n",
    "width, height = 160, 160\n",
    "step = width + 5\n",
    "x_lab, y_lab = True, True\n",
    "\n",
    "for i in range(n_feat**2):\n",
    "    if col == n_feat:\n",
    "        col = 0\n",
    "        row += 1\n",
    "    x_lab = (row == n_feat - 1)\n",
    "    y_lab = (col == 0)\n",
    "    if col == row:\n",
    "        plot = hist(X, features[row], x_lab, y_lab, width, height)\n",
    "    else:\n",
    "        plot = scatter_plot(X, features[col], features[row], x_lab, y_lab, width, height)\n",
    "    bunch.add_plot(plot, x0 + col*step, y0 + row*step, width, height)\n",
    "    col += 1\n",
    "bunch.show()"
   ]
  }
 ],
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   "language": "python",
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   "pygments_lexer": "ipython3",
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