[{'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:subs  = df_weo[\'Subject Descriptor\'].unique()[:-1]\ndf_weo_agg = df_weo[[\'Country\']][df_weo[\'Country\'].duplicated()==False].reset_index(drop=True)\nfor sub in subs[:]:\n    df_tmp = df_weo[[\'Country\', \'2019\']][df_weo[\'Subject Descriptor\']==sub].reset_index(drop=True)\n    df_tmp = df_tmp[df_tmp[\'Country\'].duplicated()==False].reset_index(drop=True)\n    df_tmp.columns = [\'Country\', sub]\n    df_weo_agg = df_weo_agg.merge(df_tmp, on=\'Country\', how=\'left\')\ndf_weo_agg.columns = ["".join (c if c.isalnum() else "_" for c in str(x)) for x in df_weo_agg.columns]\ndf_weo_agg.columns\ndf_weo_agg[\'Country_Region\'] = df_weo_agg[\'Country\']\ndf_weo_agg.head()\''}, {'role': 'assistant', 'content': "['data_preprocessing']"}]