Find intersection of two nested lists?

Solution 1:

You don't need to define intersection. It's already a first-class part of set.

>>> b1 = [1,2,3,4,5,9,11,15]
>>> b2 = [4,5,6,7,8]
>>> set(b1).intersection(b2)
set([4, 5])

Solution 2:

If you want:

c1 = [1, 6, 7, 10, 13, 28, 32, 41, 58, 63]
c2 = [[13, 17, 18, 21, 32], [7, 11, 13, 14, 28], [1, 5, 6, 8, 15, 16]]
c3 = [[13, 32], [7, 13, 28], [1,6]]

Then here is your solution for Python 2:

c3 = [filter(lambda x: x in c1, sublist) for sublist in c2]

In Python 3 filter returns an iterable instead of list, so you need to wrap filter calls with list():

c3 = [list(filter(lambda x: x in c1, sublist)) for sublist in c2]

Explanation:

The filter part takes each sublist's item and checks to see if it is in the source list c1. The list comprehension is executed for each sublist in c2.

Solution 3:

For people just looking to find the intersection of two lists, the Asker provided two methods:

b1 = [1,2,3,4,5,9,11,15]
b2 = [4,5,6,7,8]
b3 = [val for val in b1 if val in b2]

and

def intersect(a, b):
     return list(set(a) & set(b))

print intersect(b1, b2)

But there is a hybrid method that is more efficient, because you only have to do one conversion between list/set, as opposed to three:

b1 = [1,2,3,4,5]
b2 = [3,4,5,6]
s2 = set(b2)
b3 = [val for val in b1 if val in s2]

This will run in O(n), whereas his original method involving list comprehension will run in O(n^2)