[{'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:### alright, if none of the entries for an id is NDF, then set the 5th obs == NDF\nno_ndf_ppl = top_5_records[~top_5_records['id'].isin(top_5_records['id'][top_5_records['variable'] == 'NDF'])]\nndf_ppl = top_5_records[top_5_records['id'].isin(top_5_records['id'][top_5_records['variable'] == 'NDF'])]\n\nno_ndf_ppl_first = no_ndf_ppl.sort(['value'], ascending=[1])\nno_ndf_ppl_first_ndf = no_ndf_ppl_first.groupby('id').head(1)\nno_ndf_ppl_first_ndf['variable'] = 'NDF'\n\nno_ndf_ppl_first_4 = no_ndf_ppl.sort(['value'], ascending=[0])\nno_ndf_ppl_first_other = no_ndf_ppl_first_4.groupby('id').head(4)\n\n##### combine all of the dataframes together\nresult = pd.concat([no_ndf_ppl_first_ndf, no_ndf_ppl_first_other , ndf_ppl])\nresult = result.drop(['value'], axis = 1)\nresult.columns = ['id', 'country']\n\n#### create the final output dataframe\nfinal_output_adjusted = DataFrame(columns=['id', 'country'])\nfinal_output_adjusted = final_output_adjusted.append(result)\n\n#### convert to csv\nfinal_output_adjusted.to_csv('adjusted.csv', index = False, header = ['id', 'country'])\n"}, {'role': 'assistant', 'content': "['data_preprocessing']"}]