Is there a built-in function that works like zip() but that will pad the results so that the length of the resultant list is the length of the longest input rather
Im using a 2d array but the concept is the similar using python 2.x:
if len(set([len(p) for p in printer])) > 1:
printer = [column+['']*(max([len(p) for p in printer])-len(column)) for column in printer]
For Python 2.6x use itertools
module's izip_longest.
For Python 3 use zip_longest instead (no leading i
).
>>> list(itertools.izip_longest(a, b, c))
[('a1', 'b1', 'c1'), (None, 'b2', 'c2'), (None, 'b3', None)]
non itertools My Python 2 solution:
if len(list1) < len(list2):
list1.extend([None] * (len(list2) - len(list1)))
else:
list2.extend([None] * (len(list1) - len(list2)))
In Python 3 you can use itertools.zip_longest
>>> list(itertools.zip_longest(a, b, c))
[('a1', 'b1', 'c1'), (None, 'b2', 'c2'), (None, 'b3', None)]
You can pad with a different value than None
by using the fillvalue
parameter:
>>> list(itertools.zip_longest(a, b, c, fillvalue='foo'))
[('a1', 'b1', 'c1'), ('foo', 'b2', 'c2'), ('foo', 'b3', 'foo')]
With Python 2 you can either use itertools.izip_longest (Python 2.6+), or you can use map
with None
. It is a little known feature of map (but map
changed in Python 3.x, so this only works in Python 2.x).
>>> map(None, a, b, c)
[('a1', 'b1', 'c1'), (None, 'b2', 'c2'), (None, 'b3', None)]
non itertools Python 3 solution:
def zip_longest(*lists):
def g(l):
for item in l:
yield item
while True:
yield None
gens = [g(l) for l in lists]
for _ in range(max(map(len, lists))):
yield tuple(next(g) for g in gens)