[{'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:train[\'date\']=train.datetime.apply(lambda x: x.split()[0])<br>train[\'hour\']=train.datetime.apply(lambda x:x.split()[1].split(\':\')[0])<br>train[\'weekday\'] = train.date.apply(lambda dateString : calendar.day_name[datetime.strptime(dateString,"%Y-%m-%d").weekday()])<br>train[\'month\']=train.date.apply(lambda dateString: calendar.month_name[datetime.strptime(dateString,\'%Y-%m-%d\').month])<br>train[\'season\']=train.season.map({1:\'Spring\',2:\'Summer\',3:\'Fall\',4:\'Winter\'})<br>train[\'weather\']=train.weather.map({1: " Clear + Few clouds + Partly cloudy + Partly cloudy",\\\\<br>                                        2 : " Mist + Cloudy, Mist + Broken clouds, Mist + Few clouds, Mist ", \\\\<br>                                        3 : " Light Snow, Light Rain + Thunderstorm + Scattered clouds, Light Rain + Scattered clouds", \\\\<br>                                        4 :" Heavy Rain + Ice Pallets + Thunderstorm + Mist, Snow + Fog " })'}, {'role': 'assistant', 'content': 'data_preprocessing'}]