[{'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:if lizzie_out_flag==1:\ndf_seas_temp = pd.DataFrame(tmp_coswtmean, index=yr_cru, columns=ghd_all_names)\ndf_seas_prec = pd.DataFrame(pre_coswtmean, index=yr_cru, columns=ghd_all_names)\ndf_seas_pdsi = pd.DataFrame(pdsi_coswtmean, index=yr_cru, columns=ghd_all_names)\noutfile = '../data/seas_temp_'+mons_ave_txt+'.'+range_txt+'.csv';\nif os.path.exists(outfile):\nos.remove(outfile);\ndf_seas_temp.to_csv(outfile,sep=','); print(outfile)\noutfile = '../data/seas_prec_'+mons_ave_txt+'.'+range_txt+'.csv';\nif os.path.exists(outfile):\nos.remove(outfile);\ndf_seas_prec.to_csv(outfile,sep=','); print(outfile)\noutfile = '../data/seas_pdsi_'+mons_ave_txt+'.'+range_txt+'.csv';\nif os.path.exists(outfile):\nos.remove(outfile);\ndf_seas_pdsi.to_csv(outfile,sep=','); print(outfile)"}, {'role': 'assistant', 'content': "['save_results']"}]