Pandas ColumnA in ColumnB (not .apply)

[Peter Mc]

import pandas as pd

import numpy as np

d = {'one' : [1., 2., 3., 4.],'two' : [4., 3., 2., 1.],

     'three':['abbaa','bbcfb','ccdecc','ddfgddd'],

     'four':['abba','bcdf','de','fg']}

df = pd.DataFrame(d)

df

>>

	four	one	three	two
0	abba	1.0	abbaa	4.0
1	bcdf	2.0	bbcfb	3.0
2	de	3.0	ccdecc	2.0
3	fg	4.0	ddfgddd	1.0

df.apply(lambda x: x['four'] in x['three']   , axis=1)

>>

0     True
1    False
2     True
3     True
dtype: bool

Is there anyway to do this column wise, and not row wise, on a large dataset this takes exceptionally long,

?df['three'].str.contains(df['four'].str)

Thanks