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列表列表中的排列

[英]Permutations in list of lists

So, say I have a list of lists like 所以说我有一个清单清单

l = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]

How do I get all possible permutations with the restriction that I can only pick 1 item per list? 如何在每个列表只能选择1个项目的限制下获得所有可能的排列? Meaning that 147 or 269 would be possible permutations, whereas 145 would be wrong since 4 and 5 are in the same list. 意味着147或269是可能的排列,而145将是错误的,因为4和5在同一列表中。 Also, how does this work for a list containing any number of lists? 此外,这对于包含任意数量列表的列表如何起作用?

This works for me in Python 2.7 and 3.5 这对我适用于Python 2.7和3.5

import itertools
l = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]
print(list(itertools.product(*l)))

it returns 它返回

[(1, 4, 7), (1, 4, 8), (1, 4, 9), (1, 5, 7), (1, 5, 8), (1, 5, 9), (1, 6, 7), (1, 6, 8), (1, 6, 9), (2, 4, 7), (2, 4, 8), (2, 4, 9), (2, 5, 7), (2, 5, 8), (2, 5, 9), (2, 6, 7), (2, 6, 8), (2, 6, 9), (3, 4, 7), (3, 4, 8), (3, 4, 9), (3, 5, 7), (3, 5, 8), (3, 5, 9), (3, 6, 7), (3, 6, 8), (3, 6, 9)]

this worked in python 3, see the comment on the last line for python 2 这在python 3中有效,请参阅python 2最后一行的注释

l = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]
row1, row2, row3 = l

# get all the permutations as lists [1,4,7], etc.
permutations = ([x, y, z] for x in row1 for y in row2 for z in row3)

# get strings to have a more easily readable output
permutation_strings = (''.join(map(str, permutation))
                       for permutation in permutations)

print(*permutation_strings)
# in python2 you can use: print list(permutation_strings)

I wouldn't call what you are looking for permutations, but the following recursive algorithm should return what I assume you would like to see 我不会称呼您正在寻找的排列,但是以下递归算法应该返回我认为您想看到的内容

def get_all_possibilities(S, P=[]):
    if S == []:
        return P

    s = S[0]
    if P == []:
        for x in s:
            P.append(str(x))
        return get_all_possibilities(S[1:], P)
    else:
        new_P = []
        for x in s:
            for p in P:
                new_P.append(p + str(x))

        return get_all_possibilities(S[1:], new_P)

print get_all_possibilities([[1, 2, 3], [4, 5, 6], [7, 8, 9]])

My output was the following 27 items which could later be converted back to integers if you like; 我的输出是以下27个项目,如果愿意,以后可以将其转换回整数;

['147', '247', '347', '157', '257', '357', '167', '267', '367', '148', '248', '348', '158', '258', '358', '168', '268', '368', '149', '249', '349', '159', '259', '359', '169', '269', '369'] [“ 147”,“ 247”,“ 347”,“ 157”,“ 257”,“ 357”,“ 167”,“ 267”,“ 367”,“ 148”,“ 248”,“ 348”,“ 158','258','358','168','268','368','149','249','349','159','259','359','169' ,“ 269”,“ 369”]

You could use recursion. 您可以使用递归。

l = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]

def permutate(w, l):
    for x in l[0]:
        if len(l) > 1:
            permutate(w + str(x), l[1:])
        else:
            print w + str(x)

permutate("", l)

You can use itertools for this! 您可以为此使用itertools

from itertools import product
l = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]
print(list(product(*l)))

A few things to note: 注意事项:

  • I'm passing *l instead of simply l as product expects iterables as arguments, not a list of iterables; 我传递*l ,而不是简单的l作为product预计iterables作为参数,而不是一个iterables的列表; another way to write this would have been: 编写此内容的另一种方式是:

     product([1, 2, 3], [4, 5, 6], [7, 8, 9]) 

    ie, passing every list as a single argument. 即,将每个列表作为单个参数传递。 *l unpacks the elements of l into arguments for you. *l为您将l的元素解压缩为参数。

  • product does not return a list, but a generator. product不返回列表,而是生成器。 You can pass that to anything that expects an iterable. 您可以将其传递给任何期望可迭代的对象。 "Printing" the generator would not be helpful (you would not see the content of the resulting list, but <itertools.product object...> which is only mildly interesting); “打印”生成器将无济于事(您不会看到结果列表的内容,但是<itertools.product object...>只是有点有趣); this is why I'm forcing a conversion to a list using list() 这就是为什么我使用list()强制转换为列表的原因

  • using print() with parentheses allows this code to be compatible with Python 2 & 3. 使用带括号的print()可使此代码与Python 2和3兼容。

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