[{'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:numColumns = []\nfor col in dfFirst.columns:\nif dfFirst[col].dtype == np.float64 or dfFirst[col].dtype==np.int64:\nnumColumns.append(col)\nnotNumColumns = list(set(dfFirst.columns).difference(set(numColumns)))\ndfFirst['lastPayDiff'] = -(dfFirst.LastPayDate - dfFirst.ToDate).dt.days\ndfFirst['FirstPayDate_AllDiff'] = -(dfFirst.FirstPayDate_All - dfFirst.ToDate).dt.days\ndfFirst.loc[dfFirst['lastPayDiff']<0,'lastPayDiff'] = 0\ndfFirst.loc[dfFirst['FirstPayDate_AllDiff']<0,'FirstPayDate_AllDiff'] = 0.0\nmaxCountProv = dfFirst.groupby('ProviderWithMaximumPaymentsCount').size().reset_index()\nbigOperatorsMaxCount = list(maxCountProv.loc[maxCountProv[0]>2000,'ProviderWithMaximumPaymentsCount'])\ndfFirst['maxCountProv'] = dfFirst.FirstPayDate_AllDiff.apply(lambda x: 1 if x in bigOperatorsMaxCount else 0)\ndfFirst['maxSumProv'] = dfFirst.ProviderWithMaximumPaymentsSum.apply(lambda x: 1 if x in bigOperatorsMaxCount else 0)\ndfFirst1 = dfFirst.drop(notNumColumns,axis=1)\ndfFirst1['TotalMaxPayment'] = dfFirst1['TotalMaxPayment'].apply(more100func)\ndfFirst1['MaxPayment6Month'] = dfFirst1['MaxPayment6Month'].apply(more100func)\ndfFirst1['MaxPayment3Month'] = dfFirst1['MaxPayment3Month'].apply(more100func)\ndfFirst1['MaxPayment1Month'] = dfFirst1['MaxPayment1Month'].apply(more100func)"}, {'role': 'assistant', 'content': 'data_preprocessing'}]