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

Or you can try set

DF['x_sub_y']=DF.X+DF.Y
DF['x_sub_y']=DF['x_sub_y'].apply(lambda x : list(set(x)))==DF.Y
DF
Out[691]: 
        X          Y  x_sub_y
0  [1, 5]  [1, 2, 5]     True
1  [1, 2]  [1, 3, 5]    False