Create data_processor.py
Browse files- data_processor.py +21 -0
data_processor.py
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import pandas as pd
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import numpy as np
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class DataProcessor:
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def __init__(self, df):
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self.df = df
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def get_columns_with_missing_values(self):
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return self.df.columns[self.df.isnull().any()].tolist()
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def clean_data(self):
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# Remove rows with any missing values
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df_cleaned = self.df.dropna()
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# Remove duplicate rows
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df_cleaned = df_cleaned.drop_duplicates()
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# Reset the index
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df_cleaned = df_cleaned.reset_index(drop=True)
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return df_cleaned
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