[{'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:h_c_e = pd.read_csv('Input/human_compartment_experiments_full.tsv', sep='\\t', names=col)\nh_c_e = h_c_e[['Compartment', 'GO', 'GeneSym']]\nh_c_e.sort_values(by='Compartment', inplace=True)\nhuman_compartment_experiments = pd.DataFrame()\noldcom = ''\nlst = []\nfor ind in h_c_e.index:\ncom = h_c_e.at[ind, 'Compartment']\nif com == oldcom:\nlst.append(h_c_e.at[ind, 'GeneSym'])\nelse:\nif not lst:\nlst.append(h_c_e.at[ind, 'GO'])\noldcom = com\nelse:\nif len(lst) >= 6:\ntemp_df = pd.DataFrame(index=[oldcom], columns=range(0, len(lst)))\ntemp_df.ix[oldcom] = lst\nhuman_compartment_experiments = human_compartment_experiments.append(temp_df)\nlst = []\nlst.append(h_c_e.at[ind, 'GO'])\noldcom = com\nelse:\nlst = []\nlst.append(h_c_e.at[ind, 'GO'])\noldcom = com\nhuman_compartment_experiments.dropna(axis=1, how='all')\nhuman_compartment_experiments.replace(np.nan, ' ', inplace=True)\nhuman_compartment_experiments.to_csv('Output/human_compartment_experiments_filtered.gmt', sep='\\t', quotechar=' ', header=None)"}, {'role': 'assistant', 'content': 'data_preprocessing'}]