Can you get items of series A that are not available in another series B?

This can be achieved by using the ~ (not/negation symbol) and isin() method as shown below.

 

import pandas as pd

df1 = pd.Series([2, 4, 8, 10, 12])

df2 = pd.Series([8, 12, 10, 15, 16])

df1=df1[~df1.isin(df2)]

print(df1)

"""

Output:

0 2

1 4

dtype: int64

"""