65

I want to zip two list with different length

for example

A = [1,2,3,4,5,6,7,8,9]
B = ["A","B","C"]

and I expect this

[(1, 'A'), (2, 'B'), (3, 'C'), (4, 'A'), (5, 'B'), (6, 'C'), (7, 'A'), (8, 'B'), (9, 'C')]

But the built-in zip won't repeat to pair with the list with larger size. Does there exist any built-in way can achieve this?

Here is my code:

idx = 0
zip_list = []
for value in larger:
    zip_list.append((value,smaller[idx]))
    idx += 1
    if idx == len(smaller):
        idx = 0
mkrieger1
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user2131116
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    Please check this answer: http://stackoverflow.com/questions/4815792/loop-over-2-lists-repeating-the-shortest-until-end-of-longest – nickzam Oct 30 '13 at 15:15
  • Does this answer your question? [Permutations between two lists of unequal length](https://stackoverflow.com/questions/12935194/permutations-between-two-lists-of-unequal-length) – Luis Sieira Dec 09 '21 at 09:05

16 Answers16

103

You can use itertools.cycle:

Make an iterator returning elements from the iterable and saving a copy of each. When the iterable is exhausted, return elements from the saved copy. Repeats indefinitely.

Example:

A = [1,2,3,4,5,6,7,8,9]
B = ["A","B","C"]

from itertools import cycle
zip_list = zip(A, cycle(B)) if len(A) > len(B) else zip(cycle(A), B)
Georgy
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sloth
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9

Try this.

A = [1,2,3,4,5,6,7,8,9]
B = ["A","B","C"]
Z = []
for i, a in enumerate(A):
    Z.append((a, B[i % len(B)]))

Just make sure that the larger list is in A.

Eser Aygün
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8

Solution for an arbitrary number of iterables, and you don't know which one is longest (also allowing a default for any empty iterables):

from itertools import cycle, zip_longest

def zip_cycle(*iterables, empty_default=None):
    cycles = [cycle(i) for i in iterables]
    for _ in zip_longest(*iterables):
        yield tuple(next(i, empty_default) for i in cycles)

for i in zip_cycle(range(2), range(5), ['a', 'b', 'c'], []):
    print(i)

Outputs:

(0, 0, 'a', None)
(1, 1, 'b', None)
(0, 2, 'c', None)
(1, 3, 'a', None)
(0, 4, 'b', None)
Dane White
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  • This does not work in lists of equal size – Luis Sieira Dec 09 '21 at 08:56
  • @LuisSieira, it does work on equal sizes. If you're running the code, perhaps you are accidentally leaving the empty list at the end. You should find this example works as expected zip_cycle(range(3), range(3), ['a', 'b', 'c']) – Dane White Dec 16 '21 at 21:55
7

Do you know that the second list is shorter?

import itertools
list(zip(my_list, itertools.cycle(another_list)))

This will actually give you a list of tuples rather than a list of lists. I hope that's okay.

Frank Yellin
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  • Best answer since no intermediate state needs to be created. If OP really needs lists, then `[list(x) for x in zip(a, itertools.cycle(b))]` works. – ggorlen Oct 16 '20 at 03:18
6

You can use itertools.cycle:

from itertools import cycle

my_list = [1, 2, 3, 5, 5, 9]
another_list = ['Yes', 'No']

cyc = cycle(another_list)

print([[i, next(cyc)] for i in my_list])
# [[1, 'Yes'], [2, 'No'], [3, 'Yes'], [5, 'No'], [5, 'Yes'], [9, 'No']]
Georgy
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Henry Yik
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2

Try like this:

my_list=[  1,   2,   3, 5,  5,  9]
another_list=['Yes','No']
if type(len(my_list)/2) == float:
  ml=int(len(my_list)/2)+1
else:
  ml=int(len(my_list)/2)

print([[x,y] for x,y in zip(my_list,another_list*ml)])

Native way:

  • Try to calculate and round the half of the length of first list, if it is float then add 1 too
  • Iterate using zip() before that multiply second YesNo list with the calculated number before
Wasif
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2

A very simple approach is to multiply the short list so it's longer:

my_list = [1, 2, 3, 5, 5, 9]
another_list = ['Yes', 'No']

zip(my_list, another_list*3))
#[(1, 'Yes'), (2, 'No'), (3, 'Yes'), (5, 'No'), (5, 'Yes'), (9, 'No')]

Note here that the multiplier doesn't need to be carefully calculated since zip only goes out to the length of the shortest list (and the point of the multiplier is to make sure the shortest list is my_list). That is, the result would be the same if 100 were used instead of 3.

Georgy
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tom10
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2

You can use the modulo % operator in a loop that counts up

my_list=[1, 2, 3, 5, 5, 9]
another_list=['Yes','No']

new_list = []
for cur in range(len(my_list)):
    new_list.append([my_list[cur], another_list[cur % 2]])
# [[1, 'Yes'], [2, 'No'], [3, 'Yes'], [5, 'No'], [5, 'Yes'], [9, 'No']]

2 can be replaced with len(another_list)

Dexus
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1

symmetric, no conditionals one liner

[*zip(A*(len(B)//len(A) + 1), B*(len(A)//len(B) + 1))]

which strictly answers 'How to zip two differently sized lists?'

needs a patch for equal sized lists to be general:

[*(zip(A, B) if len(A) == len(B)
         else zip(A*(len(B)//len(A) + 1),
                  B*(len(A)//len(B) + 1)))]
f5r5e5d
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1

For a version that works with any finite number of potentially infinite iterables in any order:

from itertools import cycle, tee, zip_longest

def cyclical_zip(*iterables):
    iterables_1, iterables_2 = zip(*map(tee, iterables))  # Allow proper iteration of iterators

    for _, x in zip(
            zip_longest(*iterables_1),      # Limit             by the length of the longest iterable
            zip(*map(cycle, iterables_2))): #       the cycling
        yield x

assert list(cyclical_zip([1, 2, 3], 'abcd', 'xy')) == [(1, 'a', 'x'), (2, 'b', 'y'), (3, 'c', 'x'), (1, 'd', 'y')]  # An example and test case
Solomon Ucko
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1

Let's use np.tile and zip:

my_list = [1, 2, 3, 5, 5, 9]
another_list = ['Yes', 'No']
list(zip(my_list,np.tile(another_list, len(my_list)//len(another_list) + 1)) )

Output:

[(1, 'Yes'), (2, 'No'), (3, 'Yes'), (5, 'No'), (5, 'Yes'), (9, 'No')]
Georgy
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Quang Hoang
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1

I like Henry Yik's answer and it's a bit faster to execute, but here is an answer without using itertools.

my_list = [1, 2, 3, 5, 5, 9]
another_list = ['Yes', 'No']

new_list = []
for i in range(len(my_list)):
    new_list.append([my_list[i], another_list[i % len(another_list)]])

new_list

[[1, 'Yes'], [2, 'No'], [3, 'Yes'], [5, 'No'], [5, 'Yes'], [9, 'No']]
Georgy
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B. Bogart
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0

There is probably a better way, but you could make a function that repeats your list to whatever length you want.

def repeatlist(l,i):
    '''give a list and a total length'''
    while len(l) < i:
        l += l
    while len(l) > i:
        l.pop()

Then do

repeatlist(B,len(A))
zip_list = zip(A,B)
James Robinson
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0

This question is trying to solve a problem the wrong way.

What you are trying here is to get all possible permutations of the elements of two given lists. This can be easily achieved using itertools.product

>>> from itertools import product
>>> list(product(range(2), range(5)))
[(0, 0), (0, 1), (0, 2), (0, 3), (0, 4), (1, 0), (1, 1), (1, 2), (1, 3), (1, 4)]
>>> list(product(range(2), range(2)))
[(0, 0), (0, 1), (1, 0), (1, 1)]
>>> list(product(range(2), range(2), range(3)))
[(0, 0, 0), (0, 0, 1), (0, 0, 2), (0, 1, 0), (0, 1, 1), (0, 1, 2), (1, 0, 0), (1, 0, 1), (1, 0, 2), (1, 1, 0), (1, 1, 1), (1, 1, 2)]
Luis Sieira
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-1

And nowadays with list comprehentions

[(i, B[i % 3 - 1]) for i in A]

Or if the elements of A are not sequential and not worrying about list lengths

[(j, B[i % len(B)]) for i, j in enumerate(A)] if len(A) >= len(B) else \
[(A[i % len(A)], j) for i, j in enumerate(B)]
dimitris_ps
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-5
d1=['one','two','three']
d2=[1,2,3,4,5]

Zip

zip(d1,d2)
<zip object at 0x05E494B8>

list of zip

list(zip(d1,d2))

dictionary of list of zip

{'one': 1, 'two': 2, 'three': 3}

Note: Python 3.7+

Gajendra D Ambi
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