[{'role': 'system', 'content': "You are an expert in machine learning and your task is to classify code snippets into one of the following categories: ['helper_functions', 'load_data', 'data_exploration', 'data_preprocessing', 'evaluation', 'modelling', 'prediction', 'result_visualization', 'save_results', 'comment_only']."}, {'role': 'user', 'content': "Identify the single most appropriate category to which the provided code belongs. Provide your response as a single category label without any additional information, commentary, or personal opinions.\\nPython Code:# Processing Test Data\ntest = add_dates(test , column = 'datetime') \ntest['time_hour_group'] = test['time_hour'].apply(hour_group).astype(str)\ntest = new_col_categorical(test,columns=['season','weather','time_year', 'time_dayofweek' , 'time_month','time_hour_group'] , remove_original = False)\ntest['weekend'] = test['time_dayofweek_5']+test['time_dayofweek_6'] \n# test_x_new = test.drop(columns =['datetime', 'season_1',\n#        'season_2', 'season_3', 'season_4', 'weather_1', 'weather_2',\n#        'weather_3', 'weather_4', 'time_year_2011', 'time_year_2012',\n#        'time_dayofweek_0', 'time_dayofweek_1', 'time_dayofweek_2',\n#        'time_dayofweek_3', 'time_dayofweek_4', 'time_dayofweek_5',\n#        'time_dayofweek_6', 'time_month_1', 'time_month_2', 'time_month_3',\n#        'time_month_4', 'time_month_5', 'time_month_6', 'time_month_7',\n#        'time_month_8', 'time_month_9', 'time_month_10', 'time_month_11',\n#        'time_month_12'] , axis = 1)\n\ntest_x_new = test.drop(columns =['datetime',\n       'season', 'weather', 'time_year',\n       'time_dayofweek', 'time_month','time_hour_group'] , axis = 1)"}, {'role': 'assistant', 'content': 'data_preprocessing'}]