填写pandas中另一列的缺失值

Question

我的pandas数据框中有两列。

我想用Credit_History列（dtype：int64）的值填充Loan_Status列（dtype：int64）的缺失值。

Answer 1

您可以尝试fillna或combine_first：

df.Credit_History = df.Credit_History.fillna(df.Loan_Status)

或者：

df.Credit_History = df.Credit_History.combine_first(df.Loan_Status)

样品：

import pandas as pd
import numpy as np

df = pd.DataFrame({'Credit_History':[1,2,np.nan, np.nan],
                   'Loan_Status':[4,5,6,8]})

print (df)
   Credit_History  Loan_Status
0             1.0            4
1             2.0            5
2             NaN            6
3             NaN            8

df.Credit_History = df.Credit_History.combine_first(df.Loan_Status)
print (df)
   Credit_History  Loan_Status
0             1.0            4
1             2.0            5
2             6.0            6
3             8.0            8