我的熊猫数据框中有两列。
我想用Credit_History列（dtype：int64）的值填充列（dtype：int64）的缺失值Loan_Status。
您可以尝试fillna或combine_first：
df.Credit_History = df.Credit_History.fillna(df.Loan_Status)
要么：
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
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