array filter in python? [duplicate]
For example, I have two lists
A = [6, 7, 8, 9, 10, 11, 12]
subset_of_A = [6, 9, 12]; # the subset of A
the result should be [7, 8, 10, 11]; the remaining elements
Is there a built-in function in python to do开发者_运维知识库 this?
If the order is not important, you should use set.difference
. However, if you want to retain order, a simple list comprehension is all it takes.
result = [a for a in A if a not in subset_of_A]
EDIT: As delnan says, performance will be substantially improved if subset_of_A
is an actual set
, since checking for membership in a set
is O(1) as compared to O(n) for a list.
A = [6, 7, 8, 9, 10, 11, 12]
subset_of_A = set([6, 9, 12]) # the subset of A
result = [a for a in A if a not in subset_of_A]
Yes, the filter
function:
filter(lambda x: x not in subset_of_A, 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]
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.
tuple(set([6, 7, 8, 9, 10, 11, 12]).difference([6, 9, 12]))
How about
set(A).difference(subset_of_A)
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.
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
>>> a = set([6, 7, 8, 9, 10, 11, 12])
>>> sub_a = set([6, 9, 12])
>>> a - sub_a
set([8, 10, 11, 7])
>>> 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])
>>>
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