Reputation: 3207
I have dictionary like below
dict1 = {'a':{'a':20, 'b':30}, 'b':{'a':30, 'b':40}, 'c':{'a':20, 'b':30}, 'd':{'a':30, 'b':40}}
Then in following dictionary two dictionaries are same, so expected result will be like below
result = [['a','c'],['b','d']]
Upvotes: 1
Views: 84
Reputation: 133514
>>> seen = {}
>>> dict1 = {'a':{'a':20, 'b':30}, 'b':{'a':30, 'b':40}, 'c':{'a':20, 'b':30}, 'd':{'a':30, 'b':40}}
>>> for k in dict1:
fs = frozenset(dict1[k].items())
seen.setdefault(fs, []).append(k)
>>> seen.values() # note: unordered
[['a', 'c'], ['b', 'd']]
If order is needed:
>>> from collections import OrderedDict
>>> dict1 = {'a':{'a':20, 'b':30}, 'b':{'a':30, 'b':40}, 'c':{'a':20, 'b':30}, 'd':{'a':30, 'b':40}}
>>> seen = OrderedDict()
>>> for k in sorted(dict1):
fs = frozenset(dict1[k].items())
seen.setdefault(fs, []).append(k)
>>> seen.values()
[['a', 'c'], ['b', 'd']]
Note: This code is currently cross-compatible on Python 2/3. On Python 2 you can make it more efficient by using .iteritems()
instead of .items()
Upvotes: 4
Reputation: 14209
A quick one: 1st get different values, then list comprehension.
>>> values = []
>>> for k in dict1:
if dict1[k] not in values:
values.append(dict1[k])
>>> values
[{'a': 20, 'b': 30}, {'a': 30, 'b': 40}]
>>> [[k for k in dict1 if dict1[k] == v] for v in values]
[['a', 'c'], ['b', 'd']]
Upvotes: 0