Question

我有一个数据集，我需要将Credit_History数据中的所有na值替换为＆＃39; 1.0＆＃39;只要相应的Loan_status显示“Y＆＃39;和＆＃39; 0.0＆＃39;无论它在哪里＆＃39; N＆＃39;在Python中。我尝试过使用If和else，但似乎没有用。在这方面的任何帮助将不胜感激。我写的代码如下：

if df['Credit_History'] == '' and df['Loan_Status'] =='Y':
    df['Credit_History'] == "1.0"
else:
    df['Credit_History'] =="0.0"

Answer 1

credit_na_mask = df['Credit_History'] == ''
loan_status_mask = df['Loan_Status'] == 'Y'

df.loc[credit_na_mask & loan_status_mask, 'Credit_History'] = '1.0'
df.loc[credit_na_mask & ~loan_status_mask, 'Credit_History'] = '0.0'

用＆＃39; Y＆＃39;替换变量的所有Na值。或者＆＃39; N＆＃39;取决于数据框中的某些其他属性的值

1 个答案: