>>> A = [6, 7, 8, 9, 10, 11, 12]
>>> subset_of_A = [6, 9, 12];
>>> set(A) - set(subset_of_A)
set([8, 10, 11, 7])
>>>
Yes, the filter
function:
filter(lambda x: x not in subset_of_A, A)
>>> a = set([6, 7, 8, 9, 10, 11, 12])
>>> sub_a = set([6, 9, 12])
>>> a - sub_a
set([8, 10, 11, 7])
This was just asked a couple of days ago (but I cannot find it):
>>> A = [6, 7, 8, 9, 10, 11, 12]
>>> subset_of_A = set([6, 9, 12])
>>> [i for i in A if i not in subset_of_A]
[7, 8, 10, 11]
It might be better to use set
s from the beginning, depending on the context. Then you can use set operations like other answers show.
However, converting lists to sets and back only for these operations is slower than list comprehension.
How about
set(A).difference(subset_of_A)
set(A)-set(subset_of_A)
gives your the intended result set, but it won't retain the original order. The following is order preserving:
[a for a in A if not a in subset_of_A]
tuple(set([6, 7, 8, 9, 10, 11, 12]).difference([6, 9, 12]))
No, there is no build in function in python to do this, because simply:
set(A)- set(subset_of_A)
will provide you the answer.
Use the Set
type:
A_set = Set([6,7,8,9,10,11,12])
subset_of_A_set = Set([6,9,12])
result = A_set - subset_of_A_set
Source: Stackoverflow.com