[{'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:id_index = 11 ## 0 to 32\nerrors=dat.error_set.where(dat.error_set['loc_id'] == dat.site_info['ID'][id_index]).dropna().resample(\n'5T').interpolate(method='linear')[tbegin[id_index]:tend[id_index]]\nwx=dat.wx_set.where(dat.wx_set['loc_id'] == dat.site_info['ID'][id_index]).dropna()\nwx = wx.reset_index().drop_duplicates(subset='DateUTC', keep='first').set_index('DateUTC')\nwx = wx[wx.MeanSeaLevelPressureIn > 20] # filtering unphysical pressures\nwx = wx.resample('5T').interpolate(method='linear')[tbegin[id_index]:tend[id_index]]\ngoes=dat.goes_set.resample('5T').interpolate(method='linear')[tbegin[id_index]:tend[id_index]]\nnmdb=dat.nmdb_set.resample('5T').interpolate(method='linear')[tbegin[id_index]:tend[id_index]]"}, {'role': 'assistant', 'content': "['data_preprocessing']"}]