Python在一个项目和列表之间创建排列

Python在一个项目和列表之间创建排列,python,permutation,itertools,Python,Permutation,Itertools,我希望在Python中创建一个项目和列表之间的排列列表。例如: [nyc] [strawberry, apple, banana, orange, pineapple, ..] nyc strawberry-nyc nyc-strawberry strawberry-apple-nyc strawberry-apple-banana-nyc 我试着用四个词来表达“纽约”这个词。订单很重要,必须始终包括“纽约”。例如: [nyc] [strawberry, apple, banana,

我希望在Python中创建一个项目和列表之间的排列列表。例如:

[nyc]

[strawberry, apple, banana, orange, pineapple, ..]
nyc
strawberry-nyc
nyc-strawberry 
strawberry-apple-nyc
strawberry-apple-banana-nyc
我试着用四个词来表达“纽约”这个词。订单很重要,必须始终包括“纽约”。例如:

[nyc]

[strawberry, apple, banana, orange, pineapple, ..]
nyc
strawberry-nyc
nyc-strawberry 
strawberry-apple-nyc
strawberry-apple-banana-nyc
到目前为止,我所做的是将所有单词放在一个列表中,包括一些空格,然后使用itertools创建所有排列,然后删除所有在纽约不存在的行:

import itertools
import re

# include blanks to allow for four-word permutations to have just one, two, or three words
adjectives =  ['', '', '', 'nyc', 'strawberry', 'apple', 'banana', 'orange', 'pineapple']
names = ['-'.join(x) for x in itertools.permutations(adjectives, 4)]

# limit to permutations that contain 'nyc'
names = [x for x in names if 'nyc' in x]

# since joining blanks using "-", remove the multiple dashes when this happens
# and also remove leading or trailing dashes
names = [re.sub(r"-+", "-", x) for x in names]
names = [re.sub(r"-+$", "", x) for x in names]
names = [re.sub(r"^-+", "", x) for x in names]

# remove duplicates, since blank can be added multiple times, sort for visual clarity
names = sorted(list(set(names)))

print(names)

我一直在浏览itertools和这里的一些问题,我想我一定忽略了一个简单的解决方案。更有效的方法是什么?

您可以在主列表中找到所有项目的组合,然后应用笛卡尔积:

def cart_p(d, c =[]):
   if not d:
     yield c
   else:
     for i in d[0]:
       yield from cart_p(d[1:], c+[i])

def combo(d, c = []):
  if len(c) == 3:
    yield c
  else:
    yield c
    for i in d:
       if i not in c:
          yield from combo(d, c+[i])

def group_result(r):
   for a, b in r:
     for i in range(1, len(a)):
        yield '-'.join(a[:i]+[b]+a[i:])
     yield from {'-'.join(a+[b]), '-'.join([b]+a)}

data = ['strawberry', 'apple', 'banana', 'orange', 'pineapple']
print(list(group_result(list(cart_p([list(combo(data)), ['nyc']])))))
输出:

['nyc', 'nyc-strawberry', 'strawberry-nyc', 'strawberry-nyc-apple', 'nyc-strawberry-apple', 'strawberry-apple-nyc', 'strawberry-nyc-apple-banana', 'strawberry-apple-nyc-banana', 'strawberry-apple-banana-nyc', 'nyc-strawberry-apple-banana', 'strawberry-nyc-apple-orange', 'strawberry-apple-nyc-orange', 'strawberry-apple-orange-nyc', 'nyc-strawberry-apple-orange', 'strawberry-nyc-apple-pineapple', 'strawberry-apple-nyc-pineapple', 'strawberry-apple-pineapple-nyc', 'nyc-strawberry-apple-pineapple', 'strawberry-nyc-banana', 'nyc-strawberry-banana', 'strawberry-banana-nyc', 'strawberry-nyc-banana-apple', 'strawberry-banana-nyc-apple', 'strawberry-banana-apple-nyc', 'nyc-strawberry-banana-apple', 'strawberry-nyc-banana-orange', 'strawberry-banana-nyc-orange', 'nyc-strawberry-banana-orange', 'strawberry-banana-orange-nyc', 'strawberry-nyc-banana-pineapple', 'strawberry-banana-nyc-pineapple', 'nyc-strawberry-banana-pineapple', 'strawberry-banana-pineapple-nyc', 'strawberry-nyc-orange', 'strawberry-orange-nyc', 'nyc-strawberry-orange', 'strawberry-nyc-orange-apple', 'strawberry-orange-nyc-apple', 'nyc-strawberry-orange-apple', 'strawberry-orange-apple-nyc', 'strawberry-nyc-orange-banana', 'strawberry-orange-nyc-banana', 'nyc-strawberry-orange-banana', 'strawberry-orange-banana-nyc', 'strawberry-nyc-orange-pineapple', 'strawberry-orange-nyc-pineapple', 'nyc-strawberry-orange-pineapple', 'strawberry-orange-pineapple-nyc', 'strawberry-nyc-pineapple', 'strawberry-pineapple-nyc', 'nyc-strawberry-pineapple', 'strawberry-nyc-pineapple-apple', 'strawberry-pineapple-nyc-apple', 'nyc-strawberry-pineapple-apple', 'strawberry-pineapple-apple-nyc', 'strawberry-nyc-pineapple-banana', 'strawberry-pineapple-nyc-banana', 'nyc-strawberry-pineapple-banana', 'strawberry-pineapple-banana-nyc', 'strawberry-nyc-pineapple-orange', 'strawberry-pineapple-nyc-orange', 'strawberry-pineapple-orange-nyc', 'nyc-strawberry-pineapple-orange', 'apple-nyc', 'nyc-apple', 'apple-nyc-strawberry', 'apple-strawberry-nyc', 'nyc-apple-strawberry', 'apple-nyc-strawberry-banana', 'apple-strawberry-nyc-banana', 'apple-strawberry-banana-nyc', 'nyc-apple-strawberry-banana', 'apple-nyc-strawberry-orange', 'apple-strawberry-nyc-orange', 'nyc-apple-strawberry-orange', 'apple-strawberry-orange-nyc', 'apple-nyc-strawberry-pineapple', 'apple-strawberry-nyc-pineapple', 'apple-strawberry-pineapple-nyc', 'nyc-apple-strawberry-pineapple', 'apple-nyc-banana', 'apple-banana-nyc', 'nyc-apple-banana', 'apple-nyc-banana-strawberry', 'apple-banana-nyc-strawberry', 'nyc-apple-banana-strawberry', 'apple-banana-strawberry-nyc', 'apple-nyc-banana-orange', 'apple-banana-nyc-orange', 'apple-banana-orange-nyc', 'nyc-apple-banana-orange', 'apple-nyc-banana-pineapple', 'apple-banana-nyc-pineapple', 'nyc-apple-banana-pineapple', 'apple-banana-pineapple-nyc', 'apple-nyc-orange', 'nyc-apple-orange', 'apple-orange-nyc', 'apple-nyc-orange-strawberry', 'apple-orange-nyc-strawberry', 'nyc-apple-orange-strawberry', 'apple-orange-strawberry-nyc', 'apple-nyc-orange-banana', 'apple-orange-nyc-banana', 'apple-orange-banana-nyc', 'nyc-apple-orange-banana', 'apple-nyc-orange-pineapple', 'apple-orange-nyc-pineapple', 'apple-orange-pineapple-nyc', 'nyc-apple-orange-pineapple', 'apple-nyc-pineapple', 'nyc-apple-pineapple', 'apple-pineapple-nyc', 'apple-nyc-pineapple-strawberry', 'apple-pineapple-nyc-strawberry', 'apple-pineapple-strawberry-nyc', 'nyc-apple-pineapple-strawberry', 'apple-nyc-pineapple-banana', 'apple-pineapple-nyc-banana', 'apple-pineapple-banana-nyc', 'nyc-apple-pineapple-banana', 'apple-nyc-pineapple-orange', 'apple-pineapple-nyc-orange', 'apple-pineapple-orange-nyc', 'nyc-apple-pineapple-orange', 'nyc-banana', 'banana-nyc', 'banana-nyc-strawberry', 'nyc-banana-strawberry', 'banana-strawberry-nyc', 'banana-nyc-strawberry-apple', 'banana-strawberry-nyc-apple', 'banana-strawberry-apple-nyc', 'nyc-banana-strawberry-apple', 'banana-nyc-strawberry-orange', 'banana-strawberry-nyc-orange', 'banana-strawberry-orange-nyc', 'nyc-banana-strawberry-orange', 'banana-nyc-strawberry-pineapple', 'banana-strawberry-nyc-pineapple', 'nyc-banana-strawberry-pineapple', 'banana-strawberry-pineapple-nyc', 'banana-nyc-apple', 'banana-apple-nyc', 'nyc-banana-apple', 'banana-nyc-apple-strawberry', 'banana-apple-nyc-strawberry', 'banana-apple-strawberry-nyc', 'nyc-banana-apple-strawberry', 'banana-nyc-apple-orange', 'banana-apple-nyc-orange', 'nyc-banana-apple-orange', 'banana-apple-orange-nyc', 'banana-nyc-apple-pineapple', 'banana-apple-nyc-pineapple', 'nyc-banana-apple-pineapple', 'banana-apple-pineapple-nyc', 'banana-nyc-orange', 'banana-orange-nyc', 'nyc-banana-orange', 'banana-nyc-orange-strawberry', 'banana-orange-nyc-strawberry', 'banana-orange-strawberry-nyc', 'nyc-banana-orange-strawberry', 'banana-nyc-orange-apple', 'banana-orange-nyc-apple', 'nyc-banana-orange-apple', 'banana-orange-apple-nyc', 'banana-nyc-orange-pineapple', 'banana-orange-nyc-pineapple', 'banana-orange-pineapple-nyc', 'nyc-banana-orange-pineapple', 'banana-nyc-pineapple', 'nyc-banana-pineapple', 'banana-pineapple-nyc', 'banana-nyc-pineapple-strawberry', 'banana-pineapple-nyc-strawberry', 'banana-pineapple-strawberry-nyc', 'nyc-banana-pineapple-strawberry', 'banana-nyc-pineapple-apple', 'banana-pineapple-nyc-apple', 'banana-pineapple-apple-nyc', 'nyc-banana-pineapple-apple', 'banana-nyc-pineapple-orange', 'banana-pineapple-nyc-orange', 'nyc-banana-pineapple-orange', 'banana-pineapple-orange-nyc', 'orange-nyc', 'nyc-orange', 'orange-nyc-strawberry', 'nyc-orange-strawberry', 'orange-strawberry-nyc', 'orange-nyc-strawberry-apple', 'orange-strawberry-nyc-apple', 'nyc-orange-strawberry-apple', 'orange-strawberry-apple-nyc', 'orange-nyc-strawberry-banana', 'orange-strawberry-nyc-banana', 'nyc-orange-strawberry-banana', 'orange-strawberry-banana-nyc', 'orange-nyc-strawberry-pineapple', 'orange-strawberry-nyc-pineapple', 'nyc-orange-strawberry-pineapple', 'orange-strawberry-pineapple-nyc', 'orange-nyc-apple', 'nyc-orange-apple', 'orange-apple-nyc', 'orange-nyc-apple-strawberry', 'orange-apple-nyc-strawberry', 'orange-apple-strawberry-nyc', 'nyc-orange-apple-strawberry', 'orange-nyc-apple-banana', 'orange-apple-nyc-banana', 'nyc-orange-apple-banana', 'orange-apple-banana-nyc', 'orange-nyc-apple-pineapple', 'orange-apple-nyc-pineapple', 'nyc-orange-apple-pineapple', 'orange-apple-pineapple-nyc', 'orange-nyc-banana', 'nyc-orange-banana', 'orange-banana-nyc', 'orange-nyc-banana-strawberry', 'orange-banana-nyc-strawberry', 'orange-banana-strawberry-nyc', 'nyc-orange-banana-strawberry', 'orange-nyc-banana-apple', 'orange-banana-nyc-apple', 'nyc-orange-banana-apple', 'orange-banana-apple-nyc', 'orange-nyc-banana-pineapple', 'orange-banana-nyc-pineapple', 'orange-banana-pineapple-nyc', 'nyc-orange-banana-pineapple', 'orange-nyc-pineapple', 'nyc-orange-pineapple', 'orange-pineapple-nyc', 'orange-nyc-pineapple-strawberry', 'orange-pineapple-nyc-strawberry', 'nyc-orange-pineapple-strawberry', 'orange-pineapple-strawberry-nyc', 'orange-nyc-pineapple-apple', 'orange-pineapple-nyc-apple', 'nyc-orange-pineapple-apple', 'orange-pineapple-apple-nyc', 'orange-nyc-pineapple-banana', 'orange-pineapple-nyc-banana', 'orange-pineapple-banana-nyc', 'nyc-orange-pineapple-banana', 'nyc-pineapple', 'pineapple-nyc', 'pineapple-nyc-strawberry', 'nyc-pineapple-strawberry', 'pineapple-strawberry-nyc', 'pineapple-nyc-strawberry-apple', 'pineapple-strawberry-nyc-apple', 'nyc-pineapple-strawberry-apple', 'pineapple-strawberry-apple-nyc', 'pineapple-nyc-strawberry-banana', 'pineapple-strawberry-nyc-banana', 'nyc-pineapple-strawberry-banana', 'pineapple-strawberry-banana-nyc', 'pineapple-nyc-strawberry-orange', 'pineapple-strawberry-nyc-orange', 'nyc-pineapple-strawberry-orange', 'pineapple-strawberry-orange-nyc', 'pineapple-nyc-apple', 'pineapple-apple-nyc', 'nyc-pineapple-apple', 'pineapple-nyc-apple-strawberry', 'pineapple-apple-nyc-strawberry', 'pineapple-apple-strawberry-nyc', 'nyc-pineapple-apple-strawberry', 'pineapple-nyc-apple-banana', 'pineapple-apple-nyc-banana', 'nyc-pineapple-apple-banana', 'pineapple-apple-banana-nyc', 'pineapple-nyc-apple-orange', 'pineapple-apple-nyc-orange', 'pineapple-apple-orange-nyc', 'nyc-pineapple-apple-orange', 'pineapple-nyc-banana', 'nyc-pineapple-banana', 'pineapple-banana-nyc', 'pineapple-nyc-banana-strawberry', 'pineapple-banana-nyc-strawberry', 'nyc-pineapple-banana-strawberry', 'pineapple-banana-strawberry-nyc', 'pineapple-nyc-banana-apple', 'pineapple-banana-nyc-apple', 'pineapple-banana-apple-nyc', 'nyc-pineapple-banana-apple', 'pineapple-nyc-banana-orange', 'pineapple-banana-nyc-orange', 'nyc-pineapple-banana-orange', 'pineapple-banana-orange-nyc', 'pineapple-nyc-orange', 'pineapple-orange-nyc', 'nyc-pineapple-orange', 'pineapple-nyc-orange-strawberry', 'pineapple-orange-nyc-strawberry', 'nyc-pineapple-orange-strawberry', 'pineapple-orange-strawberry-nyc', 'pineapple-nyc-orange-apple', 'pineapple-orange-nyc-apple', 'nyc-pineapple-orange-apple', 'pineapple-orange-apple-nyc', 'pineapple-nyc-orange-banana', 'pineapple-orange-nyc-banana', 'nyc-pineapple-orange-banana', 'pineapple-orange-banana-nyc']
>>>len(output)
311

您可以在主列表中找到所有项目的组合,然后应用笛卡尔乘积:

def cart_p(d, c =[]):
   if not d:
     yield c
   else:
     for i in d[0]:
       yield from cart_p(d[1:], c+[i])

def combo(d, c = []):
  if len(c) == 3:
    yield c
  else:
    yield c
    for i in d:
       if i not in c:
          yield from combo(d, c+[i])

def group_result(r):
   for a, b in r:
     for i in range(1, len(a)):
        yield '-'.join(a[:i]+[b]+a[i:])
     yield from {'-'.join(a+[b]), '-'.join([b]+a)}

data = ['strawberry', 'apple', 'banana', 'orange', 'pineapple']
print(list(group_result(list(cart_p([list(combo(data)), ['nyc']])))))
输出:

['nyc', 'nyc-strawberry', 'strawberry-nyc', 'strawberry-nyc-apple', 'nyc-strawberry-apple', 'strawberry-apple-nyc', 'strawberry-nyc-apple-banana', 'strawberry-apple-nyc-banana', 'strawberry-apple-banana-nyc', 'nyc-strawberry-apple-banana', 'strawberry-nyc-apple-orange', 'strawberry-apple-nyc-orange', 'strawberry-apple-orange-nyc', 'nyc-strawberry-apple-orange', 'strawberry-nyc-apple-pineapple', 'strawberry-apple-nyc-pineapple', 'strawberry-apple-pineapple-nyc', 'nyc-strawberry-apple-pineapple', 'strawberry-nyc-banana', 'nyc-strawberry-banana', 'strawberry-banana-nyc', 'strawberry-nyc-banana-apple', 'strawberry-banana-nyc-apple', 'strawberry-banana-apple-nyc', 'nyc-strawberry-banana-apple', 'strawberry-nyc-banana-orange', 'strawberry-banana-nyc-orange', 'nyc-strawberry-banana-orange', 'strawberry-banana-orange-nyc', 'strawberry-nyc-banana-pineapple', 'strawberry-banana-nyc-pineapple', 'nyc-strawberry-banana-pineapple', 'strawberry-banana-pineapple-nyc', 'strawberry-nyc-orange', 'strawberry-orange-nyc', 'nyc-strawberry-orange', 'strawberry-nyc-orange-apple', 'strawberry-orange-nyc-apple', 'nyc-strawberry-orange-apple', 'strawberry-orange-apple-nyc', 'strawberry-nyc-orange-banana', 'strawberry-orange-nyc-banana', 'nyc-strawberry-orange-banana', 'strawberry-orange-banana-nyc', 'strawberry-nyc-orange-pineapple', 'strawberry-orange-nyc-pineapple', 'nyc-strawberry-orange-pineapple', 'strawberry-orange-pineapple-nyc', 'strawberry-nyc-pineapple', 'strawberry-pineapple-nyc', 'nyc-strawberry-pineapple', 'strawberry-nyc-pineapple-apple', 'strawberry-pineapple-nyc-apple', 'nyc-strawberry-pineapple-apple', 'strawberry-pineapple-apple-nyc', 'strawberry-nyc-pineapple-banana', 'strawberry-pineapple-nyc-banana', 'nyc-strawberry-pineapple-banana', 'strawberry-pineapple-banana-nyc', 'strawberry-nyc-pineapple-orange', 'strawberry-pineapple-nyc-orange', 'strawberry-pineapple-orange-nyc', 'nyc-strawberry-pineapple-orange', 'apple-nyc', 'nyc-apple', 'apple-nyc-strawberry', 'apple-strawberry-nyc', 'nyc-apple-strawberry', 'apple-nyc-strawberry-banana', 'apple-strawberry-nyc-banana', 'apple-strawberry-banana-nyc', 'nyc-apple-strawberry-banana', 'apple-nyc-strawberry-orange', 'apple-strawberry-nyc-orange', 'nyc-apple-strawberry-orange', 'apple-strawberry-orange-nyc', 'apple-nyc-strawberry-pineapple', 'apple-strawberry-nyc-pineapple', 'apple-strawberry-pineapple-nyc', 'nyc-apple-strawberry-pineapple', 'apple-nyc-banana', 'apple-banana-nyc', 'nyc-apple-banana', 'apple-nyc-banana-strawberry', 'apple-banana-nyc-strawberry', 'nyc-apple-banana-strawberry', 'apple-banana-strawberry-nyc', 'apple-nyc-banana-orange', 'apple-banana-nyc-orange', 'apple-banana-orange-nyc', 'nyc-apple-banana-orange', 'apple-nyc-banana-pineapple', 'apple-banana-nyc-pineapple', 'nyc-apple-banana-pineapple', 'apple-banana-pineapple-nyc', 'apple-nyc-orange', 'nyc-apple-orange', 'apple-orange-nyc', 'apple-nyc-orange-strawberry', 'apple-orange-nyc-strawberry', 'nyc-apple-orange-strawberry', 'apple-orange-strawberry-nyc', 'apple-nyc-orange-banana', 'apple-orange-nyc-banana', 'apple-orange-banana-nyc', 'nyc-apple-orange-banana', 'apple-nyc-orange-pineapple', 'apple-orange-nyc-pineapple', 'apple-orange-pineapple-nyc', 'nyc-apple-orange-pineapple', 'apple-nyc-pineapple', 'nyc-apple-pineapple', 'apple-pineapple-nyc', 'apple-nyc-pineapple-strawberry', 'apple-pineapple-nyc-strawberry', 'apple-pineapple-strawberry-nyc', 'nyc-apple-pineapple-strawberry', 'apple-nyc-pineapple-banana', 'apple-pineapple-nyc-banana', 'apple-pineapple-banana-nyc', 'nyc-apple-pineapple-banana', 'apple-nyc-pineapple-orange', 'apple-pineapple-nyc-orange', 'apple-pineapple-orange-nyc', 'nyc-apple-pineapple-orange', 'nyc-banana', 'banana-nyc', 'banana-nyc-strawberry', 'nyc-banana-strawberry', 'banana-strawberry-nyc', 'banana-nyc-strawberry-apple', 'banana-strawberry-nyc-apple', 'banana-strawberry-apple-nyc', 'nyc-banana-strawberry-apple', 'banana-nyc-strawberry-orange', 'banana-strawberry-nyc-orange', 'banana-strawberry-orange-nyc', 'nyc-banana-strawberry-orange', 'banana-nyc-strawberry-pineapple', 'banana-strawberry-nyc-pineapple', 'nyc-banana-strawberry-pineapple', 'banana-strawberry-pineapple-nyc', 'banana-nyc-apple', 'banana-apple-nyc', 'nyc-banana-apple', 'banana-nyc-apple-strawberry', 'banana-apple-nyc-strawberry', 'banana-apple-strawberry-nyc', 'nyc-banana-apple-strawberry', 'banana-nyc-apple-orange', 'banana-apple-nyc-orange', 'nyc-banana-apple-orange', 'banana-apple-orange-nyc', 'banana-nyc-apple-pineapple', 'banana-apple-nyc-pineapple', 'nyc-banana-apple-pineapple', 'banana-apple-pineapple-nyc', 'banana-nyc-orange', 'banana-orange-nyc', 'nyc-banana-orange', 'banana-nyc-orange-strawberry', 'banana-orange-nyc-strawberry', 'banana-orange-strawberry-nyc', 'nyc-banana-orange-strawberry', 'banana-nyc-orange-apple', 'banana-orange-nyc-apple', 'nyc-banana-orange-apple', 'banana-orange-apple-nyc', 'banana-nyc-orange-pineapple', 'banana-orange-nyc-pineapple', 'banana-orange-pineapple-nyc', 'nyc-banana-orange-pineapple', 'banana-nyc-pineapple', 'nyc-banana-pineapple', 'banana-pineapple-nyc', 'banana-nyc-pineapple-strawberry', 'banana-pineapple-nyc-strawberry', 'banana-pineapple-strawberry-nyc', 'nyc-banana-pineapple-strawberry', 'banana-nyc-pineapple-apple', 'banana-pineapple-nyc-apple', 'banana-pineapple-apple-nyc', 'nyc-banana-pineapple-apple', 'banana-nyc-pineapple-orange', 'banana-pineapple-nyc-orange', 'nyc-banana-pineapple-orange', 'banana-pineapple-orange-nyc', 'orange-nyc', 'nyc-orange', 'orange-nyc-strawberry', 'nyc-orange-strawberry', 'orange-strawberry-nyc', 'orange-nyc-strawberry-apple', 'orange-strawberry-nyc-apple', 'nyc-orange-strawberry-apple', 'orange-strawberry-apple-nyc', 'orange-nyc-strawberry-banana', 'orange-strawberry-nyc-banana', 'nyc-orange-strawberry-banana', 'orange-strawberry-banana-nyc', 'orange-nyc-strawberry-pineapple', 'orange-strawberry-nyc-pineapple', 'nyc-orange-strawberry-pineapple', 'orange-strawberry-pineapple-nyc', 'orange-nyc-apple', 'nyc-orange-apple', 'orange-apple-nyc', 'orange-nyc-apple-strawberry', 'orange-apple-nyc-strawberry', 'orange-apple-strawberry-nyc', 'nyc-orange-apple-strawberry', 'orange-nyc-apple-banana', 'orange-apple-nyc-banana', 'nyc-orange-apple-banana', 'orange-apple-banana-nyc', 'orange-nyc-apple-pineapple', 'orange-apple-nyc-pineapple', 'nyc-orange-apple-pineapple', 'orange-apple-pineapple-nyc', 'orange-nyc-banana', 'nyc-orange-banana', 'orange-banana-nyc', 'orange-nyc-banana-strawberry', 'orange-banana-nyc-strawberry', 'orange-banana-strawberry-nyc', 'nyc-orange-banana-strawberry', 'orange-nyc-banana-apple', 'orange-banana-nyc-apple', 'nyc-orange-banana-apple', 'orange-banana-apple-nyc', 'orange-nyc-banana-pineapple', 'orange-banana-nyc-pineapple', 'orange-banana-pineapple-nyc', 'nyc-orange-banana-pineapple', 'orange-nyc-pineapple', 'nyc-orange-pineapple', 'orange-pineapple-nyc', 'orange-nyc-pineapple-strawberry', 'orange-pineapple-nyc-strawberry', 'nyc-orange-pineapple-strawberry', 'orange-pineapple-strawberry-nyc', 'orange-nyc-pineapple-apple', 'orange-pineapple-nyc-apple', 'nyc-orange-pineapple-apple', 'orange-pineapple-apple-nyc', 'orange-nyc-pineapple-banana', 'orange-pineapple-nyc-banana', 'orange-pineapple-banana-nyc', 'nyc-orange-pineapple-banana', 'nyc-pineapple', 'pineapple-nyc', 'pineapple-nyc-strawberry', 'nyc-pineapple-strawberry', 'pineapple-strawberry-nyc', 'pineapple-nyc-strawberry-apple', 'pineapple-strawberry-nyc-apple', 'nyc-pineapple-strawberry-apple', 'pineapple-strawberry-apple-nyc', 'pineapple-nyc-strawberry-banana', 'pineapple-strawberry-nyc-banana', 'nyc-pineapple-strawberry-banana', 'pineapple-strawberry-banana-nyc', 'pineapple-nyc-strawberry-orange', 'pineapple-strawberry-nyc-orange', 'nyc-pineapple-strawberry-orange', 'pineapple-strawberry-orange-nyc', 'pineapple-nyc-apple', 'pineapple-apple-nyc', 'nyc-pineapple-apple', 'pineapple-nyc-apple-strawberry', 'pineapple-apple-nyc-strawberry', 'pineapple-apple-strawberry-nyc', 'nyc-pineapple-apple-strawberry', 'pineapple-nyc-apple-banana', 'pineapple-apple-nyc-banana', 'nyc-pineapple-apple-banana', 'pineapple-apple-banana-nyc', 'pineapple-nyc-apple-orange', 'pineapple-apple-nyc-orange', 'pineapple-apple-orange-nyc', 'nyc-pineapple-apple-orange', 'pineapple-nyc-banana', 'nyc-pineapple-banana', 'pineapple-banana-nyc', 'pineapple-nyc-banana-strawberry', 'pineapple-banana-nyc-strawberry', 'nyc-pineapple-banana-strawberry', 'pineapple-banana-strawberry-nyc', 'pineapple-nyc-banana-apple', 'pineapple-banana-nyc-apple', 'pineapple-banana-apple-nyc', 'nyc-pineapple-banana-apple', 'pineapple-nyc-banana-orange', 'pineapple-banana-nyc-orange', 'nyc-pineapple-banana-orange', 'pineapple-banana-orange-nyc', 'pineapple-nyc-orange', 'pineapple-orange-nyc', 'nyc-pineapple-orange', 'pineapple-nyc-orange-strawberry', 'pineapple-orange-nyc-strawberry', 'nyc-pineapple-orange-strawberry', 'pineapple-orange-strawberry-nyc', 'pineapple-nyc-orange-apple', 'pineapple-orange-nyc-apple', 'nyc-pineapple-orange-apple', 'pineapple-orange-apple-nyc', 'pineapple-nyc-orange-banana', 'pineapple-orange-nyc-banana', 'nyc-pineapple-orange-banana', 'pineapple-orange-banana-nyc']
>>>len(output)
311

排列两次怎么样?对于较长的列表,效率不是很高。对于较长的列表,您可以在所有位置插入nyc,而不是排列。我将把内部循环优化留给您

import itertools
import re


adjectives = ['strawberry', 'apple', 'banana', 'orange', 'pineapple']
root = 'nyc'

for i in range(len(adjectives)):
    adj_perm = itertools.permutations(adjectives, i+1)
    for perm in adj_perm:
        perm = list(perm)
        perm.append(root)
        print(len(perm))
        combined_perm = itertools.permutations(perm, len(perm))
        for final_perm in combined_perm:
            print("-".join(final_perm))

排列两次怎么样?对于较长的列表,效率不是很高。对于较长的列表,您可以在所有位置插入nyc,而不是排列。我将把内部循环优化留给您

import itertools
import re


adjectives = ['strawberry', 'apple', 'banana', 'orange', 'pineapple']
root = 'nyc'

for i in range(len(adjectives)):
    adj_perm = itertools.permutations(adjectives, i+1)
    for perm in adj_perm:
        perm = list(perm)
        perm.append(root)
        print(len(perm))
        combined_perm = itertools.permutations(perm, len(perm))
        for final_perm in combined_perm:
            print("-".join(final_perm))

这对我来说是一个简单的解决方案。进行排列,然后在每个位置添加“nyc”。我避免了将过多的中间结果构建为完整列表,因此这应该比构建列表并修剪它们的解决方案占用更少的内存。我对演出没有把握

import itertools

adjectives = ['strawberry', 'apple', 'banana', 'orange', 'pineapple']
root = 'nyc'

targetlength = 4

def rootpermute(root, adjectives, N):
    for group in itertools.permutations(adjectives, N-1):
        for position in range(len(group) + 1):
            newgroup = list(group)
            newgroup.insert(position, root)

            yield newgroup

perms = itertools.chain.from_iterable(rootpermute(root, adjectives, N) 
                                      for N in range(1, targetlength+1))

names = ['-'.join(group) for group in perms]

这对我来说是一个简单的解决方案。进行排列,然后在每个位置添加“nyc”。我避免了将过多的中间结果构建为完整列表,因此这应该比构建列表并修剪它们的解决方案占用更少的内存。我对演出没有把握

import itertools

adjectives = ['strawberry', 'apple', 'banana', 'orange', 'pineapple']
root = 'nyc'

targetlength = 4

def rootpermute(root, adjectives, N):
    for group in itertools.permutations(adjectives, N-1):
        for position in range(len(group) + 1):
            newgroup = list(group)
            newgroup.insert(position, root)

            yield newgroup

perms = itertools.chain.from_iterable(rootpermute(root, adjectives, N) 
                                      for N in range(1, targetlength+1))

names = ['-'.join(group) for group in perms]

IIUC通过在每个索引处插入根,您可以使用以下带置换和列表理解的函数来获得所有长度的N个组合

from itertools import permutations, chain

def getPerms(N, root, adjectives):
    """N is the number of elements from adjectives to include in the output"""
    if N == 0:
        return [root]
    return [
        "-".join(p[:i] + (root, ) + p[i:]) 
        for p in permutations(adjectives, N) 
        for i in range(N)
    ]
现在可以调用此函数以获得所需的长度组合:

print(getPerms(0, root, adjectives))
#['nyc']

print(getPerms(1, root, adjectives))
#['nyc-strawberry', 'nyc-apple', 'nyc-banana', 'nyc-orange', 'nyc-pineapple']
因此,为了获得最终所需的输出,您可以将对getPerms的调用链接在一起,最大长度为4:

这将生成226个元素的输出列表:

print(len(res))
#226

IIUC通过在每个索引处插入根,您可以使用以下带置换和列表理解的函数来获得所有长度的N个组合

from itertools import permutations, chain

def getPerms(N, root, adjectives):
    """N is the number of elements from adjectives to include in the output"""
    if N == 0:
        return [root]
    return [
        "-".join(p[:i] + (root, ) + p[i:]) 
        for p in permutations(adjectives, N) 
        for i in range(N)
    ]
现在可以调用此函数以获得所需的长度组合:

print(getPerms(0, root, adjectives))
#['nyc']

print(getPerms(1, root, adjectives))
#['nyc-strawberry', 'nyc-apple', 'nyc-banana', 'nyc-orange', 'nyc-pineapple']
因此,为了获得最终所需的输出,您可以将对getPerms的调用链接在一起,最大长度为4:

这将生成226个元素的输出列表:

print(len(res))
#226


这段代码的输出要长得多,看起来它在做所有的排列,不仅仅是4个单词?哦,是的,你说得对。将第一个范围限制为3,而不是形容词。对于nyc,需要添加一行以删除重复项,并添加“nyc”,同时删除函数中间的打印语句。。作品这段代码的输出要长得多,看起来它在做所有的排列,不仅仅是4个单词?哦,是的,你说得对。将第一个范围限制为3,而不是形容词。对于nyc,需要添加一行以删除重复项,并添加“nyc”,同时删除函数中间的打印语句。。作品看起来它得到了正确的输出!作为一个新手,我还得再仔细分析一下。要做一些测试。看起来它得到了正确的输出!作为一个新手,我还得再仔细分析一下。要做一些测试。上面的输出看起来只是在每行的末尾加上“nyc”,而不是在每行的任何一点?如果这在我的帖子中不清楚,我深表歉意。@octothorpe\u not\u标签没问题。所以像“草莓纽约苹果”、“草莓纽约苹果香蕉”这样的东西也是必要的吗?没错,这些也是必要的necessary@octothorpe_not_hashtag是否总是只有一个值需要添加,即纽约市,或者是否有必要添加的列表,例如['nyc'、'ma'、'ca']?只有一个,最终它可能是一个用户定义的输入。上面的输出看起来只是在每行的末尾添加“nyc”,而不是在每行的任何一点?如果这在我的帖子中不清楚,我深表歉意。@octothorpe\u not\u标签没问题。所以像“草莓纽约苹果”、“草莓纽约苹果香蕉”这样的东西也是必要的吗?没错,这些也是必要的necessary@octothorpe_not_hashtag是否总是只有一个值要添加,即nyc,或者是否有必要添加的列表,例如['nyc'、'ma'、'ca']?只有一个值,最终可能是用户定义的输入