Return ndarray instead DataFrame in df_loader.py
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@ -2,6 +2,7 @@ from datetime import date
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import numpy as np
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import numpy as np
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import pandas as pd
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import pandas as pd
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from numpy import ndarray
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from pandas import DataFrame
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from pandas import DataFrame
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from src.main.constants import Constants as const
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from src.main.constants import Constants as const
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@ -73,8 +74,8 @@ class DfLoader:
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self.__df['location-lo'] = self.__df.loc[:, 'location'] \
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self.__df['location-lo'] = self.__df.loc[:, 'location'] \
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.apply(lambda val: 0 if Utils.is_empty_collection(val) else val[1])
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.apply(lambda val: 0 if Utils.is_empty_collection(val) else val[1])
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def get_clustering_data(self) -> DataFrame:
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def get_data(self) -> ndarray:
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columns: [] = ['location-la', 'location-lo',
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columns: [] = ['location-la', 'location-lo',
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'sex', 'age', 'is_university', 'is_work', 'is_student', 'is_schoolboy']
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'sex', 'age', 'is_university', 'is_work', 'is_student', 'is_schoolboy']
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df = self.__df
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df = self.__df
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return df[columns]
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return df[columns].to_numpy()
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