Should you always favor xrange() over range()?
No, they both have their uses:
Use xrange()
when iterating, as it saves memory. Say:
for x in xrange(1, one_zillion):
rather than:
for x in range(1, one_zillion):
On the other hand, use range()
if you actually want a list of numbers.
multiples_of_seven = range(7,100,7)
print "Multiples of seven < 100: ", multiples_of_seven
You should favour range()
over xrange()
only when you need an actual list. For instance, when you want to modify the list returned by range()
, or when you wish to slice it. For iteration or even just normal indexing, xrange()
will work fine (and usually much more efficiently). There is a point where range()
is a bit faster than xrange()
for very small lists, but depending on your hardware and various other details, the break-even can be at a result of length 1 or 2; not something to worry about. Prefer xrange()
.
For performance, especially when you're iterating over a large range, xrange()
is usually better. However, there are still a few cases why you might prefer range()
:
In python 3,
range()
does whatxrange()
used to do andxrange()
does not exist. If you want to write code that will run on both Python 2 and Python 3, you can't usexrange()
.range()
can actually be faster in some cases - eg. if iterating over the same sequence multiple times.xrange()
has to reconstruct the integer object every time, butrange()
will have real integer objects. (It will always perform worse in terms of memory however)xrange()
isn't usable in all cases where a real list is needed. For instance, it doesn't support slices, or any list methods.
[Edit] There are a couple of posts mentioning how range()
will be upgraded by the 2to3 tool. For the record, here's the output of running the tool on some sample usages of range()
and xrange()
RefactoringTool: Skipping implicit fixer: buffer
RefactoringTool: Skipping implicit fixer: idioms
RefactoringTool: Skipping implicit fixer: ws_comma
--- range_test.py (original)
+++ range_test.py (refactored)
@@ -1,7 +1,7 @@
for x in range(20):
- a=range(20)
+ a=list(range(20))
b=list(range(20))
c=[x for x in range(20)]
d=(x for x in range(20))
- e=xrange(20)
+ e=range(20)
As you can see, when used in a for loop or comprehension, or where already wrapped with list(), range is left unchanged.
One other difference is that Python 2 implementation of xrange()
can't support numbers bigger than C ints, so if you want to have a range using Python's built in large number support, you have to use range()
.
Python 2.7.3 (default, Jul 13 2012, 22:29:01)
[GCC 4.7.1] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> range(123456787676676767676676,123456787676676767676679)
[123456787676676767676676L, 123456787676676767676677L, 123456787676676767676678L]
>>> xrange(123456787676676767676676,123456787676676767676679)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
OverflowError: Python int too large to convert to C long
Python 3 does not have this problem:
Python 3.2.3 (default, Jul 14 2012, 01:01:48)
[GCC 4.7.1] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> range(123456787676676767676676,123456787676676767676679)
range(123456787676676767676676, 123456787676676767676679)