[{'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:# create date feature from datetime\ntrainset.insert(1, 'date', pd.DataFrame([x[:10] for x in trainset.datetime]))\n# create time feature from datetime\ntrainset.insert(2, 'time', pd.DataFrame([x[11:] for x in trainset.datetime]))\n# convert datetime from string to datetime\ntrainset.date = [dt.strptime(x, '%Y-%m-%d').weekday() for x in trainset.date]\n# drop datetime column since we created two variables and casual and registered since their value is contained in count\ntrainset.drop(['datetime'], axis = 1, inplace = True)\n# trainset quick view\ntrainset.head()"}, {'role': 'assistant', 'content': 'data_preprocessing'}]