The simplest way is to use itertools.product
:
a = ["foo", "melon"]
b = [True, False]
c = list(itertools.product(a, b))
>> [("foo", True), ("foo", False), ("melon", True), ("melon", False)]
May be simpler than the simplest one above:
>>> a = ["foo", "bar"]
>>> b = [1, 2, 3]
>>> [(x,y) for x in a for y in b] # for a list
[('foo', 1), ('foo', 2), ('foo', 3), ('bar', 1), ('bar', 2), ('bar', 3)]
>>> ((x,y) for x in a for y in b) # for a generator if you worry about memory or time complexity.
<generator object <genexpr> at 0x1048de850>
without any import
Note: This answer is for the specific question asked above. If you are here from Google and just looking for a way to get a Cartesian product in Python, itertools.product
or a simple list comprehension may be what you are looking for - see the other answers.
Suppose len(list1) >= len(list2)
. Then what you appear to want is to take all permutations of length len(list2)
from list1
and match them with items from list2. In python:
import itertools
list1=['a','b','c']
list2=[1,2]
[list(zip(x,list2)) for x in itertools.permutations(list1,len(list2))]
Returns
[[('a', 1), ('b', 2)], [('a', 1), ('c', 2)], [('b', 1), ('a', 2)], [('b', 1), ('c', 2)], [('c', 1), ('a', 2)], [('c', 1), ('b', 2)]]
I was looking for a list multiplied by itself with only unique combinations, which is provided as this function.
import itertools
itertools.combinations(list, n_times)
Here as an excerpt from the Python docs on itertools
That might help you find what your looking for.
Combinatoric generators:
Iterator | Results
-----------------------------------------+----------------------------------------
product(p, q, ... [repeat=1]) | cartesian product, equivalent to a
| nested for-loop
-----------------------------------------+----------------------------------------
permutations(p[, r]) | r-length tuples, all possible
| orderings, no repeated elements
-----------------------------------------+----------------------------------------
combinations(p, r) | r-length tuples, in sorted order, no
| repeated elements
-----------------------------------------+----------------------------------------
combinations_with_replacement(p, r) | r-length tuples, in sorted order,
| with repeated elements
-----------------------------------------+----------------------------------------
product('ABCD', repeat=2) | AA AB AC AD BA BB BC BD CA CB CC CD DA DB DC DD
permutations('ABCD', 2) | AB AC AD BA BC BD CA CB CD DA DB DC
combinations('ABCD', 2) | AB AC AD BC BD CD
combinations_with_replacement('ABCD', 2) | AA AB AC AD BB BC BD CC CD DD
the best way to find out all the combinations for large number of lists is:
import itertools
from pprint import pprint
inputdata = [
['a', 'b', 'c'],
['d'],
['e', 'f'],
]
result = list(itertools.product(*inputdata))
pprint(result)
the result will be:
[('a', 'd', 'e'),
('a', 'd', 'f'),
('b', 'd', 'e'),
('b', 'd', 'f'),
('c', 'd', 'e'),
('c', 'd', 'f')]
You might want to try a one line list comprehension:
>>> [name+number for name in 'ab' for number in '12']
['a1', 'a2', 'b1', 'b2']
>>> [name+number for name in 'abc' for number in '12']
['a1', 'a2', 'b1', 'b2', 'c1', 'c2']
Or the KISS answer for short lists:
[(i, j) for i in list1 for j in list2]
Not as performant as itertools but you're using python so performance is already not your top concern...
I like all the other answers too!
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