在熊貓中填充另一列中一列的缺失值

Question

我的熊貓數據框中有兩列。

我想填充Credit_History列（dtype：int64）的值爲Loan_Status列（dtype：int64）的缺失值。

Answer 1

您可以嘗試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) 

樣品：

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