I got a fairly large array of arrays of length 2 (List[List[int, int]]) How can I unique arrays of them? Preferably without using different libraries
I've seen several solutions that use numpy, but I'm unlikely to be able to use this in olympiads
# Example input:
nums = [[2, 9], [3, 6], [9, 2], [6, 3]]
for i in nums:
# some code here
# Output:
# nums = [[2, 9], [3, 6]]
I tried doing this but I guess it's not a very fast solution
# Example input:
nums = [[2, 9], [3, 6], [9, 2], [6, 3]]
unique = []
for i in nums:
if sorted(i) not in unique:
unique.append(sorted(i))
# Output:
print(unique) # [[2, 9], [3, 6]]
CodePudding user response:
To deal with sets not being hashable, you can create a set of frozensets this way:
unique = {frozenset(i) for i in nums}
Then you can use whichever means to turn the results into the objects you want; for example:
unique = [list(i) for i in unique]
CodePudding user response:
Turn each pair into a sorted tuple
, put them all into a set
, then turn that back into a list of lists.
>>> nums = [[2, 9], [3, 6], [9, 2], [6, 3]]
>>> {tuple(sorted(n)) for n in nums}
{(2, 9), (3, 6)}
>>> [list(t) for t in {tuple(sorted(n)) for n in nums}]
[[2, 9], [3, 6]]
The tuple
is necessary because a set (which is created via the {}
set comprehension expression) needs to contain hashable (immutable) objects.
CodePudding user response:
As @Swifty mentioned, you can use set
to solve this problem. Send each pair through the set
constructor to sort the pair, then convert it to tuple
to make it hashable and use set
again to remove duplicate tuples.
nums = [[2, 9], [3, 6], [9, 2], [6, 3]]
num_tuples = set(tuple(set(pair)) for pair in nums)
print(num_tuples) # {(9, 2), (3, 6)}
Warning: As pointed out by @Samwise
This is a little dodgy because you're assuming that
tuple(set(pair))
will deterministically create the same tuple ordering for any given set. This is probably true in practice (IIRC when you iterate over a set the items always come out in hash order, at least in CPython 3) but I'm not sure it's necessarily guaranteed by the Python spec. –