I have a list that contains tuples in the form:
[('s1', 's2'),('s3','s32')...('s2','s1')]`
How can I count the number of distinct tuples, considering that the order is not important?
Example: ('s1','s2')
is the same as ('s2','s1')
I have a list that contains tuples in the form:
[('s1', 's2'),('s3','s32')...('s2','s1')]`
How can I count the number of distinct tuples, considering that the order is not important?
Example: ('s1','s2')
is the same as ('s2','s1')
Using collections.Counter
and frozenset
:
>>> from collections import Counter
>>> Counter(map(frozenset, [('s1', 's2'),('s3','s32'), ('s2','s1')]))
Counter({frozenset(['s2', 's1']): 2, frozenset(['s3', 's32']): 1})
To get keys as tuples:
>>> c = Counter(map(frozenset, [('s1', 's2'),('s3','s32'), ('s2','s1')]))
>>> {tuple(s): count for s, count in c.most_common()}
{('s2', 's1'): 2, ('s3', 's32'): 1}
Using frozenset to normalize your distinct tuples. And then checking the amount of items in the resulting set:
>>> l = [('s1', 's2'), ('s3','s32'), ('s2','s1')]
>>> len(set(map(frozenset, l)))
2