scripts/anonymize.py [117:124]:
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        df['db_name'] = df['db_name'].map(self.db)
        df['table_name'] = df['table_name'].map(self.table)
        if 'uown_names' in df.columns:
            df['uown_names'] = df['uown_names'].apply(lambda x: False if pd.isna(x) or x.strip() == "" else True)

        # Generate a new CSV file with anonymized data
        anonymized_file_name = "anonymized_" + file_name
        df.to_csv(os.path.join(self.dir_path, anonymized_file_name), index=False)
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scripts/anonymize.py [153:161]:
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        df['db_name'] = df['db_name'].map(self.db)
        df['table_name'] = df['table_name'].map(self.table)
        # if 'uown_names' column exists, anonymize it
        if 'uown_names' in df.columns:
            df['uown_names'] = df['uown_names'].apply(lambda x: False if pd.isna(x) or x.strip() == "" else True)

        # Generate a new CSV file with anonymized data
        anonymized_file_name = "anonymized_" + file_name
        df.to_csv(os.path.join(self.dir_path, anonymized_file_name), index=False)
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