I\'m basically looking for a python version of Combination of List>
Given a list of lists, I need a new list that gives all the possible combin
listOLists = [[1,2,3],[4,5,6],[7,8,9,10]]
for list in itertools.product(*listOLists):
print list;
I hope you find that as elegant as I did when I first encountered it.
from itertools import product
list_vals = [['Brand Acronym:CBIQ', 'Brand Acronym :KMEFIC'],['Brand Country:DXB','Brand Country:BH']]
list(product(*list_vals))
Output:
[('Brand Acronym:CBIQ', 'Brand Country :DXB'),
('Brand Acronym:CBIQ', 'Brand Country:BH'),
('Brand Acronym :KMEFIC', 'Brand Country :DXB'),
('Brand Acronym :KMEFIC', 'Brand Country:BH')]
you need itertools.product:
>>> import itertools
>>> a = [[1,2,3],[4,5,6],[7,8,9,10]]
>>> list(itertools.product(*a))
[(1, 4, 7), (1, 4, 8), (1, 4, 9), (1, 4, 10), (1, 5, 7), (1, 5, 8), (1, 5, 9), (1, 5, 10), (1, 6, 7), (1, 6, 8), (1, 6, 9), (1, 6, 10), (2, 4, 7), (2, 4, 8), (2, 4, 9), (2, 4, 10), (2, 5, 7), (2, 5, 8), (2, 5, 9), (2, 5, 10), (2, 6, 7), (2, 6, 8), (2, 6, 9), (2, 6, 10), (3, 4, 7), (3, 4, 8), (3, 4, 9), (3, 4, 10), (3, 5, 7), (3, 5, 8), (3, 5, 9), (3, 5, 10), (3, 6, 7), (3, 6, 8), (3, 6, 9), (3, 6, 10)]
Numpy can do it:
>>> import numpy
>>> a = [[1,2,3],[4,5,6],[7,8,9,10]]
>>> [list(x) for x in numpy.array(numpy.meshgrid(*a)).T.reshape(-1,len(a))]
[[ 1, 4, 7], [1, 5, 7], [1, 6, 7], ....]
One can use base python for this. The code needs a function to flatten lists of lists:
def flatten(B): # function needed for code below;
A = []
for i in B:
if type(i) == list: A.extend(i)
else: A.append(i)
return A
Then one can run:
L = [[1,2,3],[4,5,6],[7,8,9,10]]
outlist =[]; templist =[[]]
for sublist in L:
outlist = templist; templist = [[]]
for sitem in sublist:
for oitem in outlist:
newitem = [oitem]
if newitem == [[]]: newitem = [sitem]
else: newitem = [newitem[0], sitem]
templist.append(flatten(newitem))
outlist = list(filter(lambda x: len(x)==len(L), templist)) # remove some partial lists that also creep in;
print(outlist)
Output:
[[1, 4, 7], [2, 4, 7], [3, 4, 7],
[1, 5, 7], [2, 5, 7], [3, 5, 7],
[1, 6, 7], [2, 6, 7], [3, 6, 7],
[1, 4, 8], [2, 4, 8], [3, 4, 8],
[1, 5, 8], [2, 5, 8], [3, 5, 8],
[1, 6, 8], [2, 6, 8], [3, 6, 8],
[1, 4, 9], [2, 4, 9], [3, 4, 9],
[1, 5, 9], [2, 5, 9], [3, 5, 9],
[1, 6, 9], [2, 6, 9], [3, 6, 9],
[1, 4, 10], [2, 4, 10], [3, 4, 10],
[1, 5, 10], [2, 5, 10], [3, 5, 10],
[1, 6, 10], [2, 6, 10], [3, 6, 10]]
Nothing wrong with straight up recursion for this task, and if you need a version that works with strings, this might fit your needs:
combinations = []
def combine(terms, accum):
last = (len(terms) == 1)
n = len(terms[0])
for i in range(n):
item = accum + terms[0][i]
if last:
combinations.append(item)
else:
combine(terms[1:], item)
>>> a = [['ab','cd','ef'],['12','34','56']]
>>> combine(a, '')
>>> print(combinations)
['ab12', 'ab34', 'ab56', 'cd12', 'cd34', 'cd56', 'ef12', 'ef34', 'ef56']