[{'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:test[\'mth\'] = pd.DatetimeIndex(test[\'datetime\']).month\ntest[\'yr\'] = pd.DatetimeIndex(test[\'datetime\']).year\ntest[\'dy\'] = pd.DatetimeIndex(test[\'datetime\']).day\ntest[\'hr\'] = pd.DatetimeIndex(test[\'datetime\']).hour\n\nfor i in test.groupby("season").count().index:\n    s = \'s\' + str(i)\n    a = []\n    for j in test.season:\n        if j==i:\n            a.append(1)\n        else:\n            a.append(0)\n    test[s] = a\nfor i in test.groupby("weather").count().index:\n    s = \'w\' + str(i)\n    a = []\n    for j in test.weather:\n        if j==i:\n            a.append(1)\n        else:\n            a.append(0)\n    test[s] = a\nfor i in test.groupby(\'hr\').count().index:\n    s = \'hr\'+str(i)\n    a=[]\n    for j in test.hr:\n        if j==i:\n            a.append(1)\n        else:\n            a.append(0)\n    test[s]=a\nfor i in test.groupby("mth").count().index:\n    s = \'m\' + str(i)\n    a = []\n    for j in test.mth:\n        if j==i:\n            a.append(1)\n        else:\n            a.append(0)\n    test[s] = a\ntest.sample(10)\''}, {'role': 'assistant', 'content': 'data_preprocessing'}]