I recently encountered a scenario in which if a set only contained a single element, I wanted to do something with that element. To get the element, I settled on this approach:
element = list(myset)[0]
But this isn't very satisfying, as it creates an unnecessar开发者_Go百科y list. It could also be done with iteration, but iteration seems unnatural as well, since there is only a single element. Am I missing something simple?
Tuple unpacking works.
(element,) = myset
(By the way, python-dev has explored but rejected the addition of myset.get()
to return an arbitrary element from a set. Discussion here, Guido van Rossum answers 1 and 2.)
My personal favorite for getting an arbitrary element is (when you have an unknown number, but also works if you have just one):
element = next(iter(myset)) ¹
1: in Python 2.5 and before, you have to use iter(myset).next()
Between making a tuple and making an iterator, it's almost a wash, but iteration wins by a nose...:
$ python2.6 -mtimeit -s'x=set([1])' 'a=tuple(x)[0]'
1000000 loops, best of 3: 0.465 usec per loop
$ python2.6 -mtimeit -s'x=set([1])' 'a=tuple(x)[0]'
1000000 loops, best of 3: 0.465 usec per loop
$ python2.6 -mtimeit -s'x=set([1])' 'a=next(iter(x))'
1000000 loops, best of 3: 0.456 usec per loop
$ python2.6 -mtimeit -s'x=set([1])' 'a=next(iter(x))'
1000000 loops, best of 3: 0.456 usec per loop
Not sure why all the answers are using the older syntax iter(x).next()
rather than the new one next(iter(x))
, which seems preferable to me (and also works in Python 3.1).
However, unpacking wins hands-down over both:
$ python2.6 -mtimeit -s'x=set([1])' 'a,=x'
10000000 loops, best of 3: 0.174 usec per loop
$ python2.6 -mtimeit -s'x=set([1])' 'a,=x'
10000000 loops, best of 3: 0.174 usec per loop
This of course is for single-item sets (where the latter form, as others mentioned, has the advantage of failing fast if the set you "knew" had just one item actually had several). For sets with arbitrary N > 1 items, the tuple slows down, the iter doesn't:
$ python2.6 -mtimeit -s'x=set(range(99))' 'a=next(iter(x))'
1000000 loops, best of 3: 0.417 usec per loop
$ python2.6 -mtimeit -s'x=set(range(99))' 'a=tuple(x)[0]'
100000 loops, best of 3: 3.12 usec per loop
So, unpacking for the singleton case, and next(iter(x))
for the general case, seem best.
I reckon kaizer.se's answer is great. But if your set might contain more than one element, and you want a not-so-arbitrary element, you might want to use min
or max
. E.g.:
element = min(myset)
or:
element = max(myset)
(Don't use sorted
, because that has unnecessary overhead for this usage.)
I suggest:
element = myset.pop()
you can use element = tuple(myset)[0]
which is a bit more efficient, or, you can do something like
element = iter(myset).next()
I guess constructing an iterator is more efficient than constructing a tuple/list.
There is also Extended Iterable Unpacking which will work on a singleton set or a mulit-element set
element, *_ = myset
Though some bristle at the use of a throwaway variable.
One way is to use reduce
with lambda x: x
.
from functools import reduce
> reduce(lambda x: x, {3})
3
> reduce(lambda x: x, {1, 2, 3})
TypeError: <lambda>() takes 1 positional argument but 2 were given
> reduce(lambda x: x, {})
TypeError: reduce() of empty sequence with no initial value
Benefits:
- Fails for multiple and zero values
- Doesn't change the original set
- Doesn't require data transformations (e.g., to list or iterable)
- Doesn't need a new variable and can be passed as an argument
- Arguably less awkward and PEP-compliant
You can use the more-itertools package. All functions below will return one item from the set, with different behaviors if the set does not contain exactly one item:
more_itertools.one raises an exception if iterable is empty or has more than one item:
element = more_itertools.one(myset)
This works like
(element,) = myset
, but might not be as fast:$ python3.11 -m timeit -s 'myset = {42}' '(element,) = myset' 5000000 loops, best of 5: 57.9 nsec per loop $ python3.11 -m timeit -s 'from more_itertools import one myset = {42}' 'element = one(myset)' 500000 loops, best of 5: 611 nsec per loop
more_itertools.only returns a default if iterable is empty or raises an exception if iterable has more than one item:
element = more_itertools.only(myset)
more_itertools.first raises an exception if iterable is empty, or a default when one is provided:
element = more_itertools.first(myset)
This works as
element = next(iter(myset))
, but is arguably more idiomatic.more_itertools.first_true returns the first "truthy" value in the iterable or a default if iterable is empty:
element = more_itertools.first_true(myset)
You can also use the first package:
from first import first
element = first(myset)
This works like more_itertools.first_true, mentioned above.
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