In [1]:

    

import pandas as pd


    

In [2]:

    

s_sep = pd.Series(['1,000,000', '1,000', '1'])
print(s_sep)


    

    




0    1,000,000
1        1,000
2            1
dtype: object

In [3]:

    

# print(s_sep.astype(int))
# ValueError: invalid literal for int() with base 10: '1,000,000'


    

In [4]:

    

print(s_sep.str.replace(',', '').astype(int))


    

    




0    1000000
1       1000
2          1
dtype: int64

In [5]:

    

print(s_sep.str.replace(',', '').astype(float))


    

    




0    1000000.0
1       1000.0
2          1.0
dtype: float64