这是一个示例，当您需要在结果中的每个元素出现的次数应该与它在两个数组中显示的次数相同。

def intersection(nums1, nums2):
    #example:
    #nums1 = [1,2,2,1]
    #nums2 = [2,2]
    #output = [2,2]
    #find first 2 and remove from target, continue iterating

    target, iterate = [nums1, nums2] if len(nums2) >= len(nums1) else [nums2, nums1] #iterate will look into target

    if len(target) == 0:
            return []

    i = 0
    store = []
    while i < len(iterate):

         element = iterate[i]

         if element in target:
               store.append(element)
               target.remove(element)

         i += 1


    return store

这可能是晚了，但我只是认为我应该分享的情况下，你需要手动做(显示工作-哈哈)或当你需要所有元素出现尽可能多的次数或当你也需要它是唯一的。

请注意，还为它编写了测试。

    from nose.tools import assert_equal

    '''
    Given two lists, print out the list of overlapping elements
    '''

    def overlap(l_a, l_b):
        '''
        compare the two lists l_a and l_b and return the overlapping
        elements (intersecting) between the two
        '''

        #edge case is when they are the same lists
        if l_a == l_b:
            return [] #no overlapping elements

        output = []

        if len(l_a) == len(l_b):
            for i in range(l_a): #same length so either one applies
                if l_a[i] in l_b:
                    output.append(l_a[i])

            #found all by now
            #return output #if repetition does not matter
            return list(set(output))

        else:
            #find the smallest and largest lists and go with that
            sm = l_a if len(l_a)  len(l_b) else l_b

            for i in range(len(sm)):
                if sm[i] in lg:
                    output.append(sm[i])

            #return output #if repetition does not matter
            return list(set(output))

    ## Test the Above Implementation

    a = [1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89]
    b = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13]
    exp = [1, 2, 3, 5, 8, 13]

    c = [4, 4, 5, 6]
    d = [5, 7, 4, 8 ,6 ] #assuming it is not ordered
    exp2 = [4, 5, 6]

    class TestOverlap(object):

        def test(self, sol):
            t = sol(a, b)
            assert_equal(t, exp)
            print('Comparing the two lists produces')
            print(t)

            t = sol(c, d)
            assert_equal(t, exp2)
            print('Comparing the two lists produces')
            print(t)

            print('All Tests Passed!!')

    t = TestOverlap()
    t.test(overlap)

如果你将两个列表中较大的一个转换为一个集合，你可以使用intersection()获得该集合与任何可迭代对象的交集:

a = [1,2,3,4,5]
b = [1,3,5,6]
set(a).intersection(b)

对我来说，使用列表推导式是一个非常明显的方法。不确定性能如何，但至少能保持列表。

[x for x in a if x in b]

或者"所有在A中的x值，如果x值在B中"

a = [1,2,3,4,5]
b = [1,3,5,6]
c = list(set(a).intersection(set(b)))

应该像做梦一样工作。并且，如果可以的话，使用集合而不是列表来避免所有这些类型更改!

这里的大多数解决方案都不考虑列表中元素的顺序，而是将列表视为集合。另一方面，如果希望找到两个列表中包含的一个最长子序列，则可以尝试以下代码。

def intersect(a, b):
    if a == [] or b == []: 
        return []
    inter_1 = intersect(a[1:], b)
    if a[0] in b:
        idx = b.index(a[0])
        inter_2 = [a[0]] + intersect(a[1:], b[idx+1:])        
        if len(inter_1) <= len(inter_2):
            return inter_2
    return inter_1

对于a=[1,2,3]和b=[3,1,4,2]，返回[1,2]而不是[1,2,3]。注意，这样的子序列不是唯一的，因为[1]，[2]，[3]都是a=[1,2,3]和b=[3,2,1]的解。