I have a list of sets :
L = [set([1, 4]), set([1, 4]), set([1, 2]), set([1, 2]), set([2, 4]), set([2, 4]), set([5, 6]), set([5, 6]), set([3, 6]), set([3, 6]), set([3, 5]), set([3, 5])]
(actually in my case a conversion of a list of reciprocal tuples)
and I want to remove duplicates to get :
L = [set([1, 4]), set([1, 2]), set([2, 4]), set([5, 6]), set([3, 6]), set([3, 5])]
But if I try :
>>> list(set(L))
TypeError: unhashable type: 'set'
Or
>>> list(np.unique(L))
TypeError: cannot compare sets using cmp()
How do I get a list of sets with distinct sets?
The best way is to convert your sets to frozenset
s (which are hashable) and then use set
to get only the unique sets, like this
>>> list(set(frozenset(item) for item in L))
[frozenset({2, 4}),
frozenset({3, 6}),
frozenset({1, 2}),
frozenset({5, 6}),
frozenset({1, 4}),
frozenset({3, 5})]
If you want them as sets, then you can convert them back to set
s like this
>>> [set(item) for item in set(frozenset(item) for item in L)]
[{2, 4}, {3, 6}, {1, 2}, {5, 6}, {1, 4}, {3, 5}]
If you want the order also to be maintained, while removing the duplicates, then you can use collections.OrderedDict
, like this
>>> from collections import OrderedDict
>>> [set(i) for i in OrderedDict.fromkeys(frozenset(item) for item in L)]
[{1, 4}, {1, 2}, {2, 4}, {5, 6}, {3, 6}, {3, 5}]
An alternative using a loop:
result = list()
for item in L:
if item not in result:
result.append(item)
Here is another alternative
yourNewSet = map(set,list(set(map(tuple,yourSet))))
There is another alternative.
import itertools
list_sets = [set(['a', 'e', 'f']), set(['c', 'b', 'f']), set(['a', 'e', 'f']), set(['a', 'd']), set(['a', 'e', 'f'])]
lists = [list(s) for s in list_sets] # convert a list of sets to a list of lists
lists.sort()
lists_remove_duplicates = [lists for lists,_ in itertools.groupby(lists)]
print(lists_remove_duplicates)
# output
[['a', 'd'], ['a', 'e', 'f'], ['c', 'b', 'f']]