我试图在列表中找到所有数字组合,在python 2.7上给出一定的数字。迭代的组合但是不能很好地解决它,所以在这里。
mylist=[1,2,3,4,5,6,7,8,9,10]
number=60 # for 3 elements
results=[[3,4,5],[2,3,10],[2,5,6],[1,6,10]...]
我试过
import itertools
num = [1, 2, 3, 4, 5,6,7,8,9,10]
combinations = []
for combination in itertools.combinations(num, 3):
combinations.append(int("".join(str(i) for i in combination)))
print combinations
# ...
combination=[123,124,125....]
答案 0 :(得分:3)
import itertools
num = [1, 2, 3, 4, 5,6,7,8,9,10]
combinations = itertools.combinations(num, 3)
matching = [c for c in combinations if reduce(lambda x, y: x * y, c, 1) == 60]
print(matching)
魔术线是matching = [c for c in combinations if reduce(lambda x, y: x * y, c, 1) == 60]
。这是一个列表理解,相当于:
matching = []
for c in combinations:
if reduce(lambda x, y: x * y, c, 1) == 60:
matching.append(c)
您可以找到有关reduce
函数here
答案 1 :(得分:0)
虽然已经回答,但这是一个查找组合的递归算法:
def findCombination(product, numList, length, minimum):
if length == 0 and product == 1:
return [[]]
if length == 1 and product in numList and product > minimum:
return [[product]]
ret = []
subList = [item for item in numList if item > minimum]
for n in subList:
if product % n == 0:
temp = findCombination(product / n, subList, length - 1, n)
for x in temp:
ret += [[n] + x]
return ret
为了使其正常工作,必须对mylist
进行排序,因为组合是按升序进行的。
>>> mylist=[1,2,3,4,5,6,7,8,9,10]
>>> mylist = sorted(mylist)
>>> number = 60
>>> print findCombination(number, mylist, 3, mylist[0])
[[1, 6, 10], [2, 3, 10], [2, 5, 6], [3, 4, 5]]
答案 2 :(得分:-1)
>>> import itertools
>>> numbers = 1,2,3,4,5,6,7,8,9
>>> combinations = itertools.combinations(numbers,3)
>>> ["".join([str(a),str(b), str(c)]) for a, b, c in combinations if a*b*c == 60]
['256', '345']
这将适用于所需的N种组合
>>> import itertools, operator
>>> numbers = 1,2,3,4,5,6,7,8,9,10
>>> multiply_must_be = 60
>>> combinations = itertools.combinations(numbers, 3)
>>> combine = lambda arr: "".join([str(item) for item in arr])
>>> multiply = lambda arr: reduce(operator.mul, arr, 1)
>>> [combine(combo) for combo in combinations if multiply(combo) == multiply_must_be]
['1610', '2310', '256', '345']