In [1]:

    

import numpy as np
import pandas as pd
from pandas import DataFrame, Series


    

In [3]:

    

ser1 = Series([1,2,3,4,1,2,3,4])


    

In [4]:

    

ser1.replace(1, np.nan)


    

    
Out[4]:





0    NaN
1    2.0
2    3.0
3    4.0
4    NaN
5    2.0
6    3.0
7    4.0
dtype: float64

In [5]:

    

ser1.replace([1,4], [100, 400])


    

    
Out[5]:





0    100
1      2
2      3
3    400
4    100
5      2
6      3
7    400
dtype: int64

In [6]:

    

ser1.replace({4: 400})


    

    
Out[6]:





0      1
1      2
2      3
3    400
4      1
5      2
6      3
7    400
dtype: int64

In [ ]: