This is one of the breaking changes between Python 2 and 3.
In Python 2:
>>> help(dict.keys)
keys(...)
D.keys() -> list of D's keys
In Python 3:
>>> help(dict.keys)
keys(...)
D.keys() -> a set-like object providing a view on D's keys
This change in behavior makes a lot of sense since a dict is semantically unordered and its keys are unique - just like a set.
This change means that you don't have to create a new list of keys every time you want to do some kind of set comparison with a dict's keys.
Getting the same behavior in 2 and 3
To help transition to Python 3, Python 2.7 has another dict method, viewkeys
. The viewkeys
method is most similar to Python 3's dict.keys
method:
>>> d
{'a': None, 'c': None, 'b': None, 'd': None}
>>> for k in d.viewkeys(): print k
...
a
c
b
d
>>> d.viewkeys() & set('abc')
set(['a', 'c', 'b'])
In Python 3, the closest analog to the old behavior is to pass dict.keys()
to list
:
>>> d
{'d': None, 'a': None, 'c': None, 'b': None}
>>> list(d.keys())
['d', 'a', 'c', 'b']
Or just pass the dict to list
, since a dict will iterate over its keys anyways:
>>> list(d)
['d', 'a', 'c', 'b']
You could create a utility functions to abstract the behavior over 2 and 3:
if hasattr(dict, 'viewkeys'): # Python 2.7
def keys(d):
return d.viewkeys()
else: # Python 3
def keys(d):
return d.keys()
And pass a dict to list
to get the list form, and in both 2 and 3, you'll get the same output:
>>> d
{'b': None, 'a': None, 'c': None, 'd': None}
>>> keys(d)
dict_keys(['b', 'a', 'c', 'd'])
>>> list(d)
['b', 'a', 'c', 'd']