[{'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:days = np.array(['Monday', 'Tuesday', 'Wednesday',\n'Thursday', 'Friday', 'Saturday',\n'Sunday'])\ndfSelected['Weekday'] = days[dfSelected.index.weekday]\nweekend = np.array([False, False, False,\nFalse, False, True,\nTrue])\ndfSelected['Weekend'] = weekend[dfSelected.index.weekday]\nmonths = np.array(['Jan', 'Feb', 'Mar',\n'Apr', 'May', 'Jun',\n'Jul', 'Aug', 'Sep',\n'Oct', 'Nov', 'Dec'])\ndfSelected['Month'] = months[dfSelected.index.month-1]\ndfSelected['DayOfMonth'] = dfSelected.index.day\ndfSelected['WeekOfYear'] = dfSelected.index.week\ndfSelected['Year'] = dfSelected.index.year\ndfSelected['Quarter'] = dfSelected.index.quarter\ndfSelected['Hour'] = dfSelected.index.hour\ndfSelected['Minute'] = dfSelected.index.minute\ndfSelected.describe()"}, {'role': 'assistant', 'content': 'data_preprocessing'}]