[{'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:df = pd.read_csv(\'qiwiScore.csv\',encoding=\'cp1251\')\nbFlags = pd.read_csv(\'C:/YandexDisk/Work/Useful/BadFlags/badFlags.csv\')\nquery = """select\nc.clientKey\n,cp.mobilePhone phone\nfrom\nclient\tc\nleft join\nClientPhoneW cp\non\nc.ClientKey = cp.clientKey"""\nclPhone = pd.read_sql(query,cnxn)\ndf.phone = df.phone.astype(float)\nclPhone.phone = clPhone.phone.astype(float)\ndf = pd.merge(pd.merge(df,clPhone),bFlags,how=\'left\')\ndf = df[~((df.badMob3.isnull())&(df.badFpd.isnull()))]\ndf.FromDate = pd.to_datetime(df.FromDate)\ndf.ToDate = pd.to_datetime(df.ToDate)\ndf.LastPayDate = pd.to_datetime(df.LastPayDate)\ndf.FirstPayDate_All = pd.to_datetime(df.FirstPayDate_All)\nminDate = df.groupby(\'clientKey\').min()[\'ToDate\'].reset_index()\nminDate[\'firstRow\'] = 1\ndf = pd.merge(df,minDate,how=\'left\',on = [\'clientKey\',\'ToDate\'])\ndfFirst = df[df[\'firstRow\']==1]\ndfFirst = dfFirst[dfFirst[\'badMob3\'].notnull()]\ndfFirst.to_csv(\'dfFirstSrc.csv\',index=False)'}, {'role': 'assistant', 'content': "['load_data', 'data_preprocessing']"}]