{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "fb5b09ec",
   "metadata": {},
   "source": [
    "# Eurybia with custom colors\n",
    "\n",
    "<b>With this tutorial, you will understand how to manipulate colors with Eurybia plots</b>\n",
    "\n",
    "Contents:\n",
    "- Compile Eurybia SmartDrift\n",
    "- Use `palette_name` parameter\n",
    "- Use `colors_dict` parameter\n",
    "- Change the colors after compiling SmartDrift\n",
    "\n",
    "Data from Kaggle [House Prices](https://www.kaggle.com/c/house-prices-advanced-regression-techniques/data)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1eed0849",
   "metadata": {},
   "source": [
    "**Requirements notice** : the following tutorial may use third party modules not included in Eurybia.  \n",
    "You can find them all in one file [on our Github repository](https://github.com/MAIF/eurybia/blob/master/requirements.dev.txt) or you can manually install those you are missing, if any."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "e001c39b",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from category_encoders import OrdinalEncoder\n",
    "from lightgbm import LGBMRegressor\n",
    "from sklearn.model_selection import train_test_split"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9491888b",
   "metadata": {},
   "source": [
    "## Building a Supervized Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "1e6be6b2",
   "metadata": {},
   "outputs": [],
   "source": [
    "from eurybia.data.data_loader import data_loading\n",
    "house_df, house_dict = data_loading('house_prices')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "b8cb0847",
   "metadata": {},
   "outputs": [],
   "source": [
    "#For the purpose of this tutorial and to better represent a common use case of Eurybia, \n",
    "#the house_prices dataset was split in two smaller sets : \"training\" and \"production\"\n",
    "# To see an interesting analysis, let's test for a bias in the date of construction of training and production dataset\n",
    "house_df_learning = house_df.loc[house_df['YearBuilt'] < 1980]\n",
    "house_df_production = house_df.loc[house_df['YearBuilt'] >= 1980]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "9071ee71",
   "metadata": {},
   "outputs": [],
   "source": [
    "y_df_learning=house_df_learning['SalePrice'].to_frame()\n",
    "X_df_learning=house_df_learning[house_df_learning.columns.difference(['SalePrice','YearBuilt'])]\n",
    "\n",
    "y_df_production=house_df_production['SalePrice'].to_frame()\n",
    "X_df_production=house_df_production[house_df_production.columns.difference(['SalePrice','YearBuilt'])]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "c0ec51bb",
   "metadata": {},
   "outputs": [],
   "source": [
    "from eurybia import SmartDrift"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "d58a1cf8",
   "metadata": {},
   "outputs": [],
   "source": [
    "SD = SmartDrift(df_current=X_df_production, df_baseline=X_df_learning)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "5b0dd030",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The variable BldgType has mismatching unique values:\n",
      "[] | ['Two-family Conversion; originally built as one-family dwelling']\n",
      "\n",
      "The variable BsmtCond has mismatching unique values:\n",
      "[] | ['Poor -Severe cracking, settling, or wetness']\n",
      "\n",
      "The variable CentralAir has mismatching unique values:\n",
      "[] | ['No']\n",
      "\n",
      "The variable Condition1 has mismatching unique values:\n",
      "[\"Within 200' of East-West Railroad\"] | ['Adjacent to arterial street', 'Adjacent to postive off-site feature']\n",
      "\n",
      "The variable Condition2 has mismatching unique values:\n",
      "['Near positive off-site feature--park, greenbelt, etc.'] | ['Adjacent to arterial street', \"Within 200' of North-South Railroad\", 'Adjacent to feeder street', 'Adjacent to postive off-site feature', 'Adjacent to North-South Railroad', 'Adjacent to East-West Railroad']\n",
      "\n",
      "The variable Electrical has mismatching unique values:\n",
      "[] | ['60 AMP Fuse Box and mostly Romex wiring (Fair)', 'Fuse Box over 60 AMP and all Romex wiring (Average)', '60 AMP Fuse Box and mostly knob & tube wiring (poor)']\n",
      "\n",
      "The variable ExterCond has mismatching unique values:\n",
      "[] | ['Fair', 'Poor', 'Excellent']\n",
      "\n",
      "The variable ExterQual has mismatching unique values:\n",
      "[] | ['Fair']\n",
      "\n",
      "The variable Exterior1st has mismatching unique values:\n",
      "['Imitation Stucco'] | ['Asbestos Shingles', 'Brick Common', 'Asphalt Shingles', 'Stone', 'Cinder Block']\n",
      "\n",
      "The variable Exterior2nd has mismatching unique values:\n",
      "['Other'] | ['Asbestos Shingles', 'Brick Common', 'Asphalt Shingles', 'Stone', 'Cinder Block']\n",
      "\n",
      "The variable Foundation has mismatching unique values:\n",
      "['Wood'] | ['Brick & Tile', 'Stone']\n",
      "\n",
      "The variable Functional has mismatching unique values:\n",
      "[] | ['Major Deductions 2', 'Severely Damaged']\n",
      "\n",
      "The variable GarageCond has mismatching unique values:\n",
      "[] | ['Poor', 'Excellent']\n",
      "\n",
      "The variable GarageQual has mismatching unique values:\n",
      "[] | ['Excellent', 'Poor']\n",
      "\n",
      "The variable GarageType has mismatching unique values:\n",
      "[] | ['Car Port']\n",
      "\n",
      "The variable Heating has mismatching unique values:\n",
      "[] | ['Gas hot water or steam heat', 'Gravity furnace', 'Wall furnace', 'Hot water or steam heat other than gas', 'Floor Furnace']\n",
      "\n",
      "The variable HeatingQC has mismatching unique values:\n",
      "[] | ['Fair', 'Poor']\n",
      "\n",
      "The variable HouseStyle has mismatching unique values:\n",
      "[] | ['One and one-half story: 2nd level unfinished', 'Two and one-half story: 2nd level unfinished', 'Two and one-half story: 2nd level finished']\n",
      "\n",
      "The variable KitchenQual has mismatching unique values:\n",
      "[] | ['Fair']\n",
      "\n",
      "The variable LandSlope has mismatching unique values:\n",
      "[] | ['Severe Slope']\n",
      "\n",
      "The variable MSSubClass has mismatching unique values:\n",
      "[] | ['2-Story 1945 & Older', '2 Family Conversion - All Styles and Ages', '1-1/2 Story - Unfinished All Ages', '1-Story 1945 & Older', '2-1/2 Story All Ages', '1-Story w/Finished Attic All Ages']\n",
      "\n",
      "The variable MSZoning has mismatching unique values:\n",
      "['Floating Village Residential'] | ['Commercial']\n",
      "\n",
      "The variable MasVnrType has mismatching unique values:\n",
      "[] | ['Brick Common']\n",
      "\n",
      "The variable Neighborhood has mismatching unique values:\n",
      "['Northridge', 'Somerset', 'Northridge Heights', 'Stone Brook', 'Bloomington Heights', 'Bluestem'] | ['Brookside', 'Iowa DOT and Rail Road', 'Meadow Village', 'Northpark Villa', 'Briardale', 'South & West of Iowa State University']\n",
      "\n",
      "The variable PavedDrive has mismatching unique values:\n",
      "[] | ['Partial Pavement']\n",
      "\n",
      "The variable RoofMatl has mismatching unique values:\n",
      "['Clay or Tile'] | ['Metal', 'Membrane', 'Gravel & Tar', 'Roll']\n",
      "\n",
      "The variable RoofStyle has mismatching unique values:\n",
      "[] | ['Gabrel (Barn)', 'Mansard', 'Flat', 'Shed']\n",
      "\n",
      "The variable SaleCondition has mismatching unique values:\n",
      "[] | ['Adjoining Land Purchase']\n",
      "\n",
      "The variable SaleType has mismatching unique values:\n",
      "['Contract 15% Down payment regular terms'] | []\n",
      "\n",
      "The variable Utilities has mismatching unique values:\n",
      "[] | ['Electricity and Gas Only']\n",
      "\n",
      "CPU times: user 2min 59s, sys: 33.8 s, total: 3min 33s\n",
      "Wall time: 10.7 s\n"
     ]
    }
   ],
   "source": [
    "%time SD.compile(full_validation=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "3b31e6d5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "SD.xpl.plot.features_importance()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "38e581f8",
   "metadata": {},
   "source": [
    "## Eurybia with different colors"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "81a849c1",
   "metadata": {},
   "source": [
    "### Option 1 : define user-specific colors with `colors_dict` parameter\n",
    "\n",
    "The colors declared will replace the one in the default palette.\n",
    "\n",
    "In the example below, we replace the colors used in the features importance bar plot:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "06fc35d0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'1': 'rgba(0,154,203,255)', '2': 'rgba(223, 103, 0, 0.8)'}"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# first, let's print the colors used in the previous explainer: \n",
    "SD.colors_dict['featureimp_bar']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "cb2b65f3",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Now we replace these colors using the colors_dict parameter\n",
    "SD2 = SmartDrift(df_current=X_df_production, df_baseline=X_df_learning,\n",
    "    colors_dict=dict(\n",
    "        featureimp_bar={\n",
    "            \"1\": \"rgba(244, 192, 0, 1.0)\",\n",
    "            \"2\": \"rgba(52, 55, 54, 0.7)\"\n",
    "            },\n",
    "            univariate_cat_bar={\n",
    "            \"1\": \"rgba(244, 192, 0, 1.0)\",\n",
    "            \"2\": \"rgba(52, 55, 54, 0.7)\"\n",
    "            },\n",
    "            univariate_cont_bar={\n",
    "            \"1\": \"rgba(244, 192, 0, 1.0)\",\n",
    "            \"2\": \"rgba(52, 55, 54, 0.7)\"      \n",
    "            })\n",
    "                )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "90948cc0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The variable BldgType has mismatching unique values:\n",
      "[] | ['Two-family Conversion; originally built as one-family dwelling']\n",
      "\n",
      "The variable BsmtCond has mismatching unique values:\n",
      "[] | ['Poor -Severe cracking, settling, or wetness']\n",
      "\n",
      "The variable CentralAir has mismatching unique values:\n",
      "[] | ['No']\n",
      "\n",
      "The variable Condition1 has mismatching unique values:\n",
      "[\"Within 200' of East-West Railroad\"] | ['Adjacent to arterial street', 'Adjacent to postive off-site feature']\n",
      "\n",
      "The variable Condition2 has mismatching unique values:\n",
      "['Near positive off-site feature--park, greenbelt, etc.'] | ['Adjacent to arterial street', \"Within 200' of North-South Railroad\", 'Adjacent to feeder street', 'Adjacent to postive off-site feature', 'Adjacent to North-South Railroad', 'Adjacent to East-West Railroad']\n",
      "\n",
      "The variable Electrical has mismatching unique values:\n",
      "[] | ['60 AMP Fuse Box and mostly Romex wiring (Fair)', 'Fuse Box over 60 AMP and all Romex wiring (Average)', '60 AMP Fuse Box and mostly knob & tube wiring (poor)']\n",
      "\n",
      "The variable ExterCond has mismatching unique values:\n",
      "[] | ['Fair', 'Poor', 'Excellent']\n",
      "\n",
      "The variable ExterQual has mismatching unique values:\n",
      "[] | ['Fair']\n",
      "\n",
      "The variable Exterior1st has mismatching unique values:\n",
      "['Imitation Stucco'] | ['Asbestos Shingles', 'Brick Common', 'Asphalt Shingles', 'Stone', 'Cinder Block']\n",
      "\n",
      "The variable Exterior2nd has mismatching unique values:\n",
      "['Other'] | ['Asbestos Shingles', 'Brick Common', 'Asphalt Shingles', 'Stone', 'Cinder Block']\n",
      "\n",
      "The variable Foundation has mismatching unique values:\n",
      "['Wood'] | ['Brick & Tile', 'Stone']\n",
      "\n",
      "The variable Functional has mismatching unique values:\n",
      "[] | ['Major Deductions 2', 'Severely Damaged']\n",
      "\n",
      "The variable GarageCond has mismatching unique values:\n",
      "[] | ['Poor', 'Excellent']\n",
      "\n",
      "The variable GarageQual has mismatching unique values:\n",
      "[] | ['Excellent', 'Poor']\n",
      "\n",
      "The variable GarageType has mismatching unique values:\n",
      "[] | ['Car Port']\n",
      "\n",
      "The variable Heating has mismatching unique values:\n",
      "[] | ['Gas hot water or steam heat', 'Gravity furnace', 'Wall furnace', 'Hot water or steam heat other than gas', 'Floor Furnace']\n",
      "\n",
      "The variable HeatingQC has mismatching unique values:\n",
      "[] | ['Fair', 'Poor']\n",
      "\n",
      "The variable HouseStyle has mismatching unique values:\n",
      "[] | ['One and one-half story: 2nd level unfinished', 'Two and one-half story: 2nd level unfinished', 'Two and one-half story: 2nd level finished']\n",
      "\n",
      "The variable KitchenQual has mismatching unique values:\n",
      "[] | ['Fair']\n",
      "\n",
      "The variable LandSlope has mismatching unique values:\n",
      "[] | ['Severe Slope']\n",
      "\n",
      "The variable MSSubClass has mismatching unique values:\n",
      "[] | ['2-Story 1945 & Older', '2 Family Conversion - All Styles and Ages', '1-1/2 Story - Unfinished All Ages', '1-Story 1945 & Older', '2-1/2 Story All Ages', '1-Story w/Finished Attic All Ages']\n",
      "\n",
      "The variable MSZoning has mismatching unique values:\n",
      "['Floating Village Residential'] | ['Commercial']\n",
      "\n",
      "The variable MasVnrType has mismatching unique values:\n",
      "[] | ['Brick Common']\n",
      "\n",
      "The variable Neighborhood has mismatching unique values:\n",
      "['Northridge', 'Somerset', 'Northridge Heights', 'Stone Brook', 'Bloomington Heights', 'Bluestem'] | ['Brookside', 'Iowa DOT and Rail Road', 'Meadow Village', 'Northpark Villa', 'Briardale', 'South & West of Iowa State University']\n",
      "\n",
      "The variable PavedDrive has mismatching unique values:\n",
      "[] | ['Partial Pavement']\n",
      "\n",
      "The variable RoofMatl has mismatching unique values:\n",
      "['Clay or Tile'] | ['Metal', 'Membrane', 'Gravel & Tar', 'Roll']\n",
      "\n",
      "The variable RoofStyle has mismatching unique values:\n",
      "[] | ['Gabrel (Barn)', 'Mansard', 'Flat', 'Shed']\n",
      "\n",
      "The variable SaleCondition has mismatching unique values:\n",
      "[] | ['Adjoining Land Purchase']\n",
      "\n",
      "The variable SaleType has mismatching unique values:\n",
      "['Contract 15% Down payment regular terms'] | []\n",
      "\n",
      "The variable Utilities has mismatching unique values:\n",
      "[] | ['Electricity and Gas Only']\n",
      "\n",
      "CPU times: user 2min 58s, sys: 33.5 s, total: 3min 31s\n",
      "Wall time: 10.8 s\n"
     ]
    }
   ],
   "source": [
    "%time SD2.compile(full_validation=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "f4f06e55",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "SD2.xpl.plot.features_importance()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "b9e34480",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "SD2.plot.generate_fig_univariate('BsmtQual')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e11fdd92",
   "metadata": {},
   "source": [
    "### Option 2 : redefine colors after compiling Eurybia"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "15c2df84",
   "metadata": {},
   "outputs": [],
   "source": [
    "SD3 = SmartDrift(df_current=X_df_production, df_baseline=X_df_learning)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "9e1ecf16",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The variable BldgType has mismatching unique values:\n",
      "[] | ['Two-family Conversion; originally built as one-family dwelling']\n",
      "\n",
      "The variable BsmtCond has mismatching unique values:\n",
      "[] | ['Poor -Severe cracking, settling, or wetness']\n",
      "\n",
      "The variable CentralAir has mismatching unique values:\n",
      "[] | ['No']\n",
      "\n",
      "The variable Condition1 has mismatching unique values:\n",
      "[\"Within 200' of East-West Railroad\"] | ['Adjacent to arterial street', 'Adjacent to postive off-site feature']\n",
      "\n",
      "The variable Condition2 has mismatching unique values:\n",
      "['Near positive off-site feature--park, greenbelt, etc.'] | ['Adjacent to arterial street', \"Within 200' of North-South Railroad\", 'Adjacent to feeder street', 'Adjacent to postive off-site feature', 'Adjacent to North-South Railroad', 'Adjacent to East-West Railroad']\n",
      "\n",
      "The variable Electrical has mismatching unique values:\n",
      "[] | ['60 AMP Fuse Box and mostly Romex wiring (Fair)', 'Fuse Box over 60 AMP and all Romex wiring (Average)', '60 AMP Fuse Box and mostly knob & tube wiring (poor)']\n",
      "\n",
      "The variable ExterCond has mismatching unique values:\n",
      "[] | ['Fair', 'Poor', 'Excellent']\n",
      "\n",
      "The variable ExterQual has mismatching unique values:\n",
      "[] | ['Fair']\n",
      "\n",
      "The variable Exterior1st has mismatching unique values:\n",
      "['Imitation Stucco'] | ['Asbestos Shingles', 'Brick Common', 'Asphalt Shingles', 'Stone', 'Cinder Block']\n",
      "\n",
      "The variable Exterior2nd has mismatching unique values:\n",
      "['Other'] | ['Asbestos Shingles', 'Brick Common', 'Asphalt Shingles', 'Stone', 'Cinder Block']\n",
      "\n",
      "The variable Foundation has mismatching unique values:\n",
      "['Wood'] | ['Brick & Tile', 'Stone']\n",
      "\n",
      "The variable Functional has mismatching unique values:\n",
      "[] | ['Major Deductions 2', 'Severely Damaged']\n",
      "\n",
      "The variable GarageCond has mismatching unique values:\n",
      "[] | ['Poor', 'Excellent']\n",
      "\n",
      "The variable GarageQual has mismatching unique values:\n",
      "[] | ['Excellent', 'Poor']\n",
      "\n",
      "The variable GarageType has mismatching unique values:\n",
      "[] | ['Car Port']\n",
      "\n",
      "The variable Heating has mismatching unique values:\n",
      "[] | ['Gas hot water or steam heat', 'Gravity furnace', 'Wall furnace', 'Hot water or steam heat other than gas', 'Floor Furnace']\n",
      "\n",
      "The variable HeatingQC has mismatching unique values:\n",
      "[] | ['Fair', 'Poor']\n",
      "\n",
      "The variable HouseStyle has mismatching unique values:\n",
      "[] | ['One and one-half story: 2nd level unfinished', 'Two and one-half story: 2nd level unfinished', 'Two and one-half story: 2nd level finished']\n",
      "\n",
      "The variable KitchenQual has mismatching unique values:\n",
      "[] | ['Fair']\n",
      "\n",
      "The variable LandSlope has mismatching unique values:\n",
      "[] | ['Severe Slope']\n",
      "\n",
      "The variable MSSubClass has mismatching unique values:\n",
      "[] | ['2-Story 1945 & Older', '2 Family Conversion - All Styles and Ages', '1-1/2 Story - Unfinished All Ages', '1-Story 1945 & Older', '2-1/2 Story All Ages', '1-Story w/Finished Attic All Ages']\n",
      "\n",
      "The variable MSZoning has mismatching unique values:\n",
      "['Floating Village Residential'] | ['Commercial']\n",
      "\n",
      "The variable MasVnrType has mismatching unique values:\n",
      "[] | ['Brick Common']\n",
      "\n",
      "The variable Neighborhood has mismatching unique values:\n",
      "['Northridge', 'Somerset', 'Northridge Heights', 'Stone Brook', 'Bloomington Heights', 'Bluestem'] | ['Brookside', 'Iowa DOT and Rail Road', 'Meadow Village', 'Northpark Villa', 'Briardale', 'South & West of Iowa State University']\n",
      "\n",
      "The variable PavedDrive has mismatching unique values:\n",
      "[] | ['Partial Pavement']\n",
      "\n",
      "The variable RoofMatl has mismatching unique values:\n",
      "['Clay or Tile'] | ['Metal', 'Membrane', 'Gravel & Tar', 'Roll']\n",
      "\n",
      "The variable RoofStyle has mismatching unique values:\n",
      "[] | ['Gabrel (Barn)', 'Mansard', 'Flat', 'Shed']\n",
      "\n",
      "The variable SaleCondition has mismatching unique values:\n",
      "[] | ['Adjoining Land Purchase']\n",
      "\n",
      "The variable SaleType has mismatching unique values:\n",
      "['Contract 15% Down payment regular terms'] | []\n",
      "\n",
      "The variable Utilities has mismatching unique values:\n",
      "[] | ['Electricity and Gas Only']\n",
      "\n",
      "CPU times: user 3min 1s, sys: 33.1 s, total: 3min 34s\n",
      "Wall time: 10.7 s\n"
     ]
    }
   ],
   "source": [
    "%time SD3.compile(full_validation=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "c625009b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "SD3.xpl.plot.features_importance()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "1e83f9d7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "SD3.plot.generate_fig_univariate('BsmtQual')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "dev_eurybia",
   "language": "python",
   "name": "dev_eurybia"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}