Mapping methods across multiple columns in a Pandas DataFrame

Question

I have a Pandas dataframe where the values are lists:

import pandas as pd

DF = pd.DataFrame({\'X\':[[1, 5], [1, 2]], \'Y\':[[1, 2, 5], [1, 3, 5]]})
DF
                  


        

Answer 1

Use set and issubset:

DF.assign(x_sub_y = DF.apply(lambda x: set(x.X).issubset(set(x.Y)), axis=1))

Output:

        X          Y  x_sub_y
0  [1, 5]  [1, 2, 5]     True
1  [1, 2]  [1, 3, 5]    False