def model_parsing(): Parse_df=model_df.fillna('mv-5') for index, row_k in enumerate(Parse_df['Keywords']): row_k=parse_and.parse(str(row_k)) Parse_df.Keywords[index] = row_k for index, row_k in enumerate(Parse_df['Keywords_and_1']): row_k=parse_and.parse(str(row_k)) Parse_df.Keywords_and_1[index] = row_k for index, row_k in enumerate(Parse_df['Keywords_and_2']): row_k=parse_and.parse(str(row_k)) Parse_df.Keywords_and_2[index] = row_k for index, row_e in enumerate(Parse_df['Exclusion']): row_e=parse_and.parse(str(row_e)) Parse_df.Exclusion[index] = row_e for index, row_e in enumerate(Parse_df['Attribute_Or_keyword']): row_e=parse_and.parse(str(row_e)) Parse_df.Attribute_Or_keyword[index] = row_e for index, row_e in enumerate(Parse_df['Attribute_And_keyword']): row_e=parse_and.parse(str(row_e)) Parse_df.Attribute_And_keyword[index] = row_e for index, row_e in enumerate(Parse_df['Verbatim_exclusion']): row_e=parse_and.parse(str(row_e)) Parse_df.Verbatim_exclusion[index] = row_e Parse_df.to_csv('Model_modified_twitter_test.csv',index=False)
def model_parsing(): model_df=pd.read_csv('Text_Model_twitter_v1.csv') model_df=model_df.fillna('mv-5') for index, row_k in enumerate(model_df['Keywords']): row_k=parse_and.parse(str(row_k)) model_df.Keywords[index] = row_k for index, row_k in enumerate(model_df['Keywords_and_1']): row_k=parse_and.parse(str(row_k)) model_df.Keywords_and_1[index] = row_k for index, row_k in enumerate(model_df['Keywords_and_2']): row_k=parse_and.parse(str(row_k)) model_df.Keywords_and_2[index] = row_k for index, row_e in enumerate(model_df['Exclusion']): row_e=parse_and.parse(str(row_e)) model_df.Exclusion[index] = row_e for index, row_e in enumerate(model_df['Attribute_Or_keyword']): row_e=parse_and.parse(str(row_e)) model_df.Attribute_Or_keyword[index] = row_e for index, row_e in enumerate(model_df['Attribute_And_keyword']): row_e=parse_and.parse(str(row_e)) model_df.Attribute_And_keyword[index] = row_e model_df.to_csv('Model_modified_twitter_test.csv',index=False)