df.were(),df.mask()

Posted 2022-08-03 liyun1

df.where(cond,other...) df.mask()

df.where将series中不满足cond的那些值替换为other

df.mask()结果与where()相反

In [45]:

 df[‘loan_amnt‘].head(10).where(df[‘loan_amnt‘]<5000,5000)

 

 

Out[45]:

0    5000
1    2500
2    2400
3    5000
4    3000
5    5000
6    5000
7    3000
8    5000
9    5000
Name: loan_amnt, dtype: int64

In [46]:

 df[‘loan_amnt‘].head(10).mask(df[‘loan_amnt‘]<5000,5000)

 

 

Out[46]:

0     5000
1     5000
2     5000
3    10000
4     5000
5     5000
6     7000
7     5000
8     5600
9     5375
Name: loan_amnt, dtype: int64