Chapter 9 - Explaining Overall Model - Predicting Room Bookings.ipynb

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   "source": [
    "from lightgbm import LGBMRegressor\n",
    "from xgboost import XGBClassifier\n",
    "\n",
    "import gc\n",
    "import pickle\n",
    "\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from Interaction_effect_features import get_data\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "np.seterr(divide = 'ignore')\n",
    "pd.options.mode.chained_assignment = None  # default='warn'"
   ]
  },
  {
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    "def last_preprocessing(data_dict,feature_columns,dependent_variable,dataset):\n",
    "    \n",
    "    if dataset == 'regression':\n",
    "        columns = ['AdjustedLeadTime_Quartile_countRankEncoded', 'CumulativeNumberOfRooms_Quartile_percentEncoded', 'CumulativeNumberOfRooms_Quartile_countRankEncoded', 'CumulativeNumberOfRooms_Quartile_MeanEncoded', 'CumulativeNumberOfRoomsSubstract_Quartile_percentEncoded', 'CumulativeNumberOfRoomsSubstract_Quartile_countRankEncoded', 'CumulativeNumberOfRoomsSubstract_Quartile_MeanEncoded', 'CumulativeNumberOfRoomsNet_Quartile_countEncoded', 'CumulativeNumberOfRoomsNet_Quartile_MeanEncoded', 'AdjustedLeadTimeCumulativeNumberOfRooms_Quartile_countEncoded', 'AdjustedLeadTimeCumulativeNumberOfRooms_Quartile_percentEncoded', 'AdjustedLeadTimeCumulativeNumberOfRooms_Quartile_countRankEncoded', 'AdjustedLeadTimeCumulativeNumberOfRooms_Quartile_MeanEncoded', 'AdjustedLeadTimeCumulativeNumberOfRoomsSubstract_Quartile_countRankEncoded', 'AdjustedLeadTimeCumulativeNumberOfRoomsSubstract_Quartile_MeanEncoded', 'AdjustedLeadTimeCumulativeNumberOfRoomsNet_Quartile_percentEncoded', 'CumulativeRevenue_Quartile_countEncoded', 'CumulativeRevenue_Quartile_percentEncoded', 'CumulativeRevenue_Quartile_countRankEncoded', 'CumulativeRevenue_Quartile_MeanEncoded', 'CumulativeRevenueSubstract_Quartile_percentEncoded', 'CumulativeRevenueSubstract_Quartile_countRankEncoded', 'CumulativeRevenueNet_Quartile_percentEncoded', 'CumulativeRevenueNet_Quartile_MeanEncoded', 'AdjustedLeadTimeCumulativeRevenue_Quartile_percentEncoded', 'AdjustedLeadTimeCumulativeRevenue_Quartile_countRankEncoded', 'AdjustedLeadTimeCumulativeRevenueSubstract_Quartile_countEncoded', 'AdjustedLeadTimeCumulativeRevenueSubstract_Quartile_countRankEncoded', 'AdjustedLeadTimeCumulativeRevenueSubstract_Quartile_MeanEncoded', 'AdjustedLeadTimeCumulativeRevenueNet_Quartile_countRankEncoded', 'AdjustedLeadTimeCumulativeRevenueNet_Quartile_MeanEncoded','AdjustedLeadTime_Quartile_percentEncoded', 'CumulativeNumberOfRoomsSubstract_Quartile_countEncoded', 'CumulativeNumberOfRoomsNet_Quartile_percentEncoded', 'AdjustedLeadTimeCumulativeNumberOfRoomsSubstract_Quartile_countEncoded', 'AdjustedLeadTimeCumulativeNumberOfRoomsNet_Quartile_countEncoded', 'AdjustedLeadTimeCumulativeNumberOfRoomsNet_Quartile_countRankEncoded', 'AdjustedLeadTimeCumulativeNumberOfRoomsNet_Quartile_MeanEncoded', 'AdjustedLeadTimeCumulativeRevenue_Quartile_MeanEncoded', 'AdjustedLeadTimeCumulativeRevenueSubstract_Quartile_percentEncoded','AdjustedLeadTime_Quartile_countEncoded', 'CumulativeNumberOfRoomsNet_Quartile_countRankEncoded', 'AdjustedLeadTimeCumulativeNumberOfRoomsSubstract_Quartile_percentEncoded', 'CumulativeRevenueSubstract_Quartile_countEncoded', 'CumulativeRevenueSubstract_Quartile_MeanEncoded', 'CumulativeRevenueNet_Quartile_countEncoded', 'AdjustedLeadTimeCumulativeRevenueNet_Quartile_countEncoded','AdjustedLeadTime_Quartile_MeanEncoded', 'CumulativeNumberOfRooms_Quartile_countEncoded', 'CumulativeRevenueNet_Quartile_countRankEncoded','AdjustedLeadTimeCumulativeRevenue_Quartile_countEncoded', 'AdjustedLeadTimeCumulativeRevenueNet_Quartile_percentEncoded']\n",
    "    else:\n",
    "        columns = ['LeadTime_Quartile_countEncoded','LeadTime_Quartile_percentEncoded','LeadTime_Quartile_countRankEncoded','LeadTime_Quartile_MeanEncoded','ADR_Quartile_countEncoded','ADR_Quartile_percentEncoded','ADR_Quartile_countRankEncoded','ADR_Quartile_MeanEncoded']\n",
    "    \n",
    "    for feature in columns:\n",
    "        if feature in feature_columns and feature in data_dict['data_external_test'].columns:\n",
    "            data_dict['data_external_test'][feature] = data_dict['data_external_test'][feature].astype(int)\n",
    "            data_dict['data_validation_test'][feature] = data_dict['data_validation_test'][feature].astype(int)\n",
    "\n",
    "            for index in data_dict['fold_dict'].keys():\n",
    "                data_dict['fold_dict'][index]['fold_training'][feature] = data_dict['fold_dict'][index]['fold_training'][feature].astype(int)\n",
    "                data_dict['fold_dict'][index]['fold_test'][feature] = data_dict['fold_dict'][index]['fold_test'][feature].astype(int)\n",
    "    \n",
    "#     print('ReservedRoomType_countEncoded' in data_dict['fold_dict'][3]['fold_training'])\n",
    "#     print('ReservedRoomType_countEncoded' in data_dict['fold_dict'][3]['fold_test'])\n",
    "#     print('ReservedRoomType_countEncoded' in data_dict['data_validation_test'])\n",
    "#     print('ReservedRoomType_countEncoded' in data_dict['data_external_test'])\n",
    "    \n",
    "    fold_training = data_dict['fold_dict'][1]['fold_training'][feature_columns+dependent_variable]\n",
    "    fold_test = data_dict['fold_dict'][1]['fold_test'][feature_columns+dependent_variable]\n",
    "    data_validation_test = data_dict['data_validation_test'][feature_columns+dependent_variable]\n",
    "    data_external_test = data_dict['data_external_test'][feature_columns+dependent_variable]\n",
    "    \n",
    "    #append\n",
    "    training_df = fold_training.append([fold_test, data_validation_test], ignore_index=True)\n",
    "    training_df.reset_index(inplace=True,drop=True)\n",
    "    \n",
    "    return training_df,data_external_test\n",
    "\n",
    "def last_preprocessing_surrogate(data_dict,feature_columns,dependent_variable,dataset):\n",
    "    \n",
    "    if dataset == 'regression':\n",
    "        columns = ['AdjustedLeadTime_Quartile_countRankEncoded', 'CumulativeNumberOfRooms_Quartile_percentEncoded', 'CumulativeNumberOfRooms_Quartile_countRankEncoded', 'CumulativeNumberOfRooms_Quartile_MeanEncoded', 'CumulativeNumberOfRoomsSubstract_Quartile_percentEncoded', 'CumulativeNumberOfRoomsSubstract_Quartile_countRankEncoded', 'CumulativeNumberOfRoomsSubstract_Quartile_MeanEncoded', 'CumulativeNumberOfRoomsNet_Quartile_countEncoded', 'CumulativeNumberOfRoomsNet_Quartile_MeanEncoded', 'AdjustedLeadTimeCumulativeNumberOfRooms_Quartile_countEncoded', 'AdjustedLeadTimeCumulativeNumberOfRooms_Quartile_percentEncoded', 'AdjustedLeadTimeCumulativeNumberOfRooms_Quartile_countRankEncoded', 'AdjustedLeadTimeCumulativeNumberOfRooms_Quartile_MeanEncoded', 'AdjustedLeadTimeCumulativeNumberOfRoomsSubstract_Quartile_countRankEncoded', 'AdjustedLeadTimeCumulativeNumberOfRoomsSubstract_Quartile_MeanEncoded', 'AdjustedLeadTimeCumulativeNumberOfRoomsNet_Quartile_percentEncoded', 'CumulativeRevenue_Quartile_countEncoded', 'CumulativeRevenue_Quartile_percentEncoded', 'CumulativeRevenue_Quartile_countRankEncoded', 'CumulativeRevenue_Quartile_MeanEncoded', 'CumulativeRevenueSubstract_Quartile_percentEncoded', 'CumulativeRevenueSubstract_Quartile_countRankEncoded', 'CumulativeRevenueNet_Quartile_percentEncoded', 'CumulativeRevenueNet_Quartile_MeanEncoded', 'AdjustedLeadTimeCumulativeRevenue_Quartile_percentEncoded', 'AdjustedLeadTimeCumulativeRevenue_Quartile_countRankEncoded', 'AdjustedLeadTimeCumulativeRevenueSubstract_Quartile_countEncoded', 'AdjustedLeadTimeCumulativeRevenueSubstract_Quartile_countRankEncoded', 'AdjustedLeadTimeCumulativeRevenueSubstract_Quartile_MeanEncoded', 'AdjustedLeadTimeCumulativeRevenueNet_Quartile_countRankEncoded', 'AdjustedLeadTimeCumulativeRevenueNet_Quartile_MeanEncoded','AdjustedLeadTime_Quartile_percentEncoded', 'CumulativeNumberOfRoomsSubstract_Quartile_countEncoded', 'CumulativeNumberOfRoomsNet_Quartile_percentEncoded', 'AdjustedLeadTimeCumulativeNumberOfRoomsSubstract_Quartile_countEncoded', 'AdjustedLeadTimeCumulativeNumberOfRoomsNet_Quartile_countEncoded', 'AdjustedLeadTimeCumulativeNumberOfRoomsNet_Quartile_countRankEncoded', 'AdjustedLeadTimeCumulativeNumberOfRoomsNet_Quartile_MeanEncoded', 'AdjustedLeadTimeCumulativeRevenue_Quartile_MeanEncoded', 'AdjustedLeadTimeCumulativeRevenueSubstract_Quartile_percentEncoded','AdjustedLeadTime_Quartile_countEncoded', 'CumulativeNumberOfRoomsNet_Quartile_countRankEncoded', 'AdjustedLeadTimeCumulativeNumberOfRoomsSubstract_Quartile_percentEncoded', 'CumulativeRevenueSubstract_Quartile_countEncoded', 'CumulativeRevenueSubstract_Quartile_MeanEncoded', 'CumulativeRevenueNet_Quartile_countEncoded', 'AdjustedLeadTimeCumulativeRevenueNet_Quartile_countEncoded','AdjustedLeadTime_Quartile_MeanEncoded', 'CumulativeNumberOfRooms_Quartile_countEncoded', 'CumulativeRevenueNet_Quartile_countRankEncoded','AdjustedLeadTimeCumulativeRevenue_Quartile_countEncoded', 'AdjustedLeadTimeCumulativeRevenueNet_Quartile_percentEncoded']\n",
    "    else:\n",
    "        columns = ['LeadTime_Quartile_countEncoded','LeadTime_Quartile_percentEncoded','LeadTime_Quartile_countRankEncoded','LeadTime_Quartile_MeanEncoded','ADR_Quartile_countEncoded','ADR_Quartile_percentEncoded','ADR_Quartile_countRankEncoded','ADR_Quartile_MeanEncoded']\n",
    "    \n",
    "    for feature in columns:\n",
    "        if feature in feature_columns and feature in data_dict['data_external_test'].columns:\n",
    "            data_dict['data_external_test'][feature] = data_dict['data_external_test'][feature].astype(int)\n",
    "            data_dict['data_validation_test'][feature] = data_dict['data_validation_test'][feature].astype(int)\n",
    "\n",
    "            for index in data_dict['fold_dict'].keys():\n",
    "                data_dict['fold_dict'][index]['fold_training'][feature] = data_dict['fold_dict'][index]['fold_training'][feature].astype(int)\n",
    "                data_dict['fold_dict'][index]['fold_test'][feature] = data_dict['fold_dict'][index]['fold_test'][feature].astype(int)\n",
    "    \n",
    "#     print('ReservedRoomType_countEncoded' in data_dict['fold_dict'][3]['fold_training'])\n",
    "#     print('ReservedRoomType_countEncoded' in data_dict['fold_dict'][3]['fold_test'])\n",
    "#     print('ReservedRoomType_countEncoded' in data_dict['data_validation_test'])\n",
    "#     print('ReservedRoomType_countEncoded' in data_dict['data_external_test'])\n",
    "    \n",
    "    fold_training = data_dict['fold_dict'][1]['fold_training'][feature_columns+dependent_variable]\n",
    "    fold_test = data_dict['fold_dict'][1]['fold_test'][feature_columns+dependent_variable]\n",
    "    data_validation_test = data_dict['data_validation_test'][feature_columns+dependent_variable]\n",
    "    data_external_test = data_dict['data_external_test'][feature_columns+dependent_variable]\n",
    "    \n",
    "    #append\n",
    "    training_df = fold_training.append([fold_test], ignore_index=True)\n",
    "    training_df.reset_index(inplace=True,drop=True)\n",
    "    \n",
    "    return training_df,data_validation_test,data_external_test"
   ]
  },
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   "cell_type": "code",
   "execution_count": null,
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  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "43b1cd70",
   "metadata": {},
   "outputs": [],
   "source": [
    "#features_regression = \n",
    "with open(r\"D:\\Results\\ResultPickle\\PredictRoomBooking\\best_columns_GA_PredictRoomBooking_lightgbm_v4.pickle\", \"rb\") as features_regression:\n",
    "    features_regression = pickle.load(features_regression)\n",
    "\n",
    "#'HotelCancellations', 'CouponRecommendation', 'PredictRoomBooking','CarSales'\n",
    "problem = 'PredictRoomBooking'\n",
    "data_dict_regression,dependent_variable_regression,categorical_linear,categorical_tree,categorical_features,numerical_features_linear,numerical_features_tree,ordinal_features,ordinal_features_engineered = get_data(problem)\n",
    "\n",
    "#create single dataframe\n",
    "training_df_regression,data_external_test_regression = last_preprocessing(data_dict=data_dict_regression,\n",
    "                                                    feature_columns=features_regression,\n",
    "                                                    dependent_variable=dependent_variable_regression,\n",
    "                                                    dataset='regression')\n",
    "\n",
    "#create dataframe for surrogate\n",
    "training_df_surrogate,data_validation_test_surrogate,data_external_test_surrogate = last_preprocessing_surrogate(data_dict=data_dict_regression,\n",
    "                                                                                   feature_columns=features_regression,\n",
    "                                                                                   dependent_variable=dependent_variable_regression,\n",
    "                                                                                   dataset='regression')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ac10c95c",
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  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ae0e90ae",
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   "outputs": [],
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  },
  {
   "cell_type": "markdown",
   "id": "79ef467f",
   "metadata": {},
   "source": [
    "# Train Models"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "1c2ada4b",
   "metadata": {},
   "outputs": [
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      ],
      "text/plain": [
       "LGBMRegressor(n_estimators=200, random_state=1)"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "regression_model = LGBMRegressor(n_estimators=200,random_state=1,n_jobs=-1)\n",
    "regression_model.fit(training_df_regression[features_regression],training_df_regression[dependent_variable_regression])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cf55d3b2",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "485aafb7",
   "metadata": {},
   "source": [
    "## Partial Dependence Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "2c18ffdb",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.inspection import PartialDependenceDisplay"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "442a1bd1",
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1200x1200 with 10 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rcParams[\"figure.figsize\"] = (12,12)\n",
    "PartialDependenceDisplay.from_estimator(regression_model, training_df_regression[features_regression], features_regression)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "81049187",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "37ac1b8b",
   "metadata": {},
   "source": [
    "## Accumulated Local Effects Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "ab111788",
   "metadata": {},
   "outputs": [],
   "source": [
    "from alibi.explainers import ALE, plot_ale"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "80850c9f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x1000 with 10 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "SMALL_SIZE = 7\n",
    "# MEDIUM_SIZE = 10\n",
    "# BIGGER_SIZE = 12\n",
    "\n",
    "plt.rc('font', size=SMALL_SIZE)          # controls default text sizes\n",
    "plt.rc('axes', titlesize=SMALL_SIZE)     # fontsize of the axes title\n",
    "plt.rc('axes', labelsize=SMALL_SIZE)    # fontsize of the x and y labels\n",
    "plt.rc('xtick', labelsize=SMALL_SIZE)    # fontsize of the tick labels\n",
    "plt.rc('ytick', labelsize=SMALL_SIZE)    # fontsize of the tick labels\n",
    "plt.rc('legend', fontsize=SMALL_SIZE)    # legend fontsize\n",
    "# plt.rc('figure', titlesize=BIGGER_SIZE)  # fontsize of the figure title\n",
    "\n",
    "regression_ale = ALE(regression_model.predict,feature_names=features_regression,target_names=dependent_variable_regression)\n",
    "regression_explain = regression_ale.explain(np.array(training_df_regression[features_regression]))\n",
    "plot_ale(regression_explain,fig_kw={'figwidth':10,'figheight':10})\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d135de39",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "71190697",
   "metadata": {},
   "source": [
    "## Permutation Feature Importance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "6dd122f6",
   "metadata": {},
   "outputs": [],
   "source": [
    "from rfpimp import importances, plot_importances"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "e9334483",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 400x200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "imp = importances(regression_model, training_df_regression[features_regression], training_df_regression[dependent_variable_regression]) # permutation\n",
    "viz = plot_importances(imp)\n",
    "viz.view()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e9f905ee",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "892b6368",
   "metadata": {},
   "source": [
    "## Surrogate Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "b8acdcf4",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.metrics import mean_squared_error"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "94312501",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RMSE on external test data is: 30.68407224795604\n"
     ]
    }
   ],
   "source": [
    "#train\n",
    "regression_model.fit(training_df_surrogate[features_regression],training_df_surrogate[dependent_variable_regression])\n",
    "\n",
    "#predict for external test\n",
    "data_validation_test_surrogate['surrogate'] = regression_model.predict(data_validation_test_surrogate[features_regression])\n",
    "\n",
    "regression_model_surrogate = LinearRegression(n_jobs=-1)\n",
    "regression_model_surrogate.fit(data_validation_test_surrogate[features_regression],data_validation_test_surrogate['surrogate'])\n",
    "\n",
    "data_external_test_surrogate['surrogate'] = regression_model_surrogate.predict(data_external_test_surrogate[features_regression])\n",
    "\n",
    "print('RMSE on external test data is:',np.sqrt(mean_squared_error(data_external_test_surrogate[dependent_variable_regression],data_external_test_surrogate['surrogate'])))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c526e534",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cbd1f920",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "63ddcf1d",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "800bcadc",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9974bc87",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c6cf5667",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "18e1812d",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}