[{'role': 'system', 'content': "You are an expert in machine learning and your task is to classify the code snippets into categories from the provided list of categories. List of categories: ['helper_functions', 'load_data', 'data_exploration', 'data_preprocessing', 'evaluation', 'modelling', 'prediction', 'result_visualization', 'save_results', 'comment_only']"}, {'role': 'user', 'content': 'Identify to which category the provided code belongs and assign the code snippet to at least 1 but up to 5 categories based on the probabilities, ignore if the probability of the category is negligible. Strictly provide your response as a list. Avoid providing any additional information, commentary, or personal opinions.\\nPython Code:# tempDate--yearmonthdayweekday\n\ntrain[\'year\'] = train.tempDate.apply(lambda x:x[0].split(\'-\')[0])\ntrain[\'month\'] = train.tempDate.apply(lambda x:x[0].split(\'-\')[1])\ntrain[\'day\'] = train.tempDate.apply(lambda x:x[0].split(\'-\')[2])\n\n#weekdaycalendardatetime\ntrain[\'weekday\'] = train.tempDate.apply(lambda x:calendar.day_name[datetime.strptime(x[0],"%Y-%m-%d").weekday()])\n\ntrain[\'hour\'] = train.tempDate.apply(lambda x:x[1].split(\':\')[0])\''}, {'role': 'assistant', 'content': "['data_preprocessing']"}]