我希望 x 是除“流失”列之外的所有列。但是，當我執行以下操作時，出現“['churn'] not found in axis”錯誤，盡管我在編寫“print(list(df.column))”時可以看到列名這是我的代碼：import pandas as pdimport numpy as npdf = pd.read_csv("/Users/utkusenel/Documents/Data Analyzing/data.csv", header=0)print(df.head())print(df.columns)print(len(df.columns))x = df.drop(["churn"], axis=1) ## this is the part it gives the error我也添加了我的數據集的片段：account_length;area_code;international_plan;voice_mail_plan;number_vmail_messages;total_day_minutes;total_day_calls;total_day_charge;total_eve_minutes;total_eve_calls;total_eve_charge;total_night_minutes;total_night_calls;total_night_charge;total_intl_minutes;total_intl_calls;total_intl_charge;number_customer_service_calls;churn;1;KS;128;area_code_415;no;yes;25;265.1;110;45.07;197.4;99;16.78;244.7;91;11.01;10;3;2.7;1;no2;OH;107;area_code_415;no;yes;26;161.6;123;27.47;195.5;103;16.62;254.4;103;11.45;13.7;3;3.7;1;no3;NJ;137;area_code_415;no;no;0;243.4;114;41.38;121.2;110;10.3;162.6;104;7.32;12.2;5;3.29;0;no