我知道如何得到两个平面列表的交集:
b1 = [1,2,3,4,5,9,11,15]
b2 = [4,5,6,7,8]
b3 = [val for val in b1 if val in b2]
要么
def intersect(a, b):
return list(set(a) & set(b))
print intersect(b1, b2)
但是当我必须找到嵌套列表的交集时,我的问题就开始了:
c1 = [1, 6, 7, 10, 13, 28, 32, 41, 58, 63]
c2 = [[13, 17, 18, 21, 32], [7, 11, 13, 14, 28], [1, 5, 6, 8, 15, 16]]
最后,我希望收到:
c3 = [[13,32],[7,13,28],[1,6]]
你们能帮我这个忙吗?
有关
#1楼
我不知道我是否迟于回答你的问题。 阅读完您的问题后,我想到了一个可在列表和嵌套列表上使用的函数intersect()。 我使用递归来定义此功能,这非常直观。 希望它是您要寻找的:
def intersect(a, b):
result=[]
for i in b:
if isinstance(i,list):
result.append(intersect(a,i))
else:
if i in a:
result.append(i)
return result
例:
>>> c1 = [1, 6, 7, 10, 13, 28, 32, 41, 58, 63]
>>> c2 = [[13, 17, 18, 21, 32], [7, 11, 13, 14, 28], [1, 5, 6, 8, 15, 16]]
>>> print intersect(c1,c2)
[[13, 32], [7, 13, 28], [1, 6]]
>>> b1 = [1,2,3,4,5,9,11,15]
>>> b2 = [4,5,6,7,8]
>>> print intersect(b1,b2)
[4, 5]
#2楼
功能方法:
input_list = [[1, 2, 3, 4, 5], [2, 3, 4, 5, 6], [3, 4, 5, 6, 7]]
result = reduce(set.intersection, map(set, input_list))
它可以应用于1+列表的更一般情况
#3楼
对于只想查找两个列表的交集的人们,Asker提供了两种方法:
b1 = [1,2,3,4,5,9,11,15] b2 = [4,5,6,7,8] b3 = [val for val in b1 if val in b2]
和
def intersect(a, b): return list(set(a) & set(b)) print intersect(b1, b2)
但是有一种更有效的混合方法,因为您只需要在列表/集合之间进行一次转换,而不是三种:
b1 = [1,2,3,4,5]
b2 = [3,4,5,6]
s2 = set(b2)
b3 = [val for val in b1 if val in s2]
这将在O(n)中运行,而他最初涉及列表理解的方法将在O(n ^ 2)中运行
#4楼
鉴于:
> c1 = [1, 6, 7, 10, 13, 28, 32, 41, 58, 63]
> c2 = [[13, 17, 18, 21, 32], [7, 11, 13, 14, 28], [1, 5, 6, 8, 15, 16]]
我发现以下代码运行良好,并且如果使用set操作,则可能更简洁:
> c3 = [list(set(f)&set(c1)) for f in c2]
它得到:
> [[32, 13], [28, 13, 7], [1, 6]]
如果需要订购:
> c3 = [sorted(list(set(f)&set(c1))) for f in c2]
我们有:
> [[13, 32], [7, 13, 28], [1, 6]]
顺便说一句,对于更多的python样式,这个也很好:
> c3 = [ [i for i in set(f) if i in c1] for f in c2]
#5楼
c1 = [1, 6, 7, 10, 13, 28, 32, 41, 58, 63]
c2 = [[13, 17, 18, 21, 32], [7, 11, 13, 14, 28], [1, 5, 6, 8, 15, 16]]
c3 = [list(set(c2[i]).intersection(set(c1))) for i in xrange(len(c2))]
c3
->[[32, 13], [28, 13, 7], [1, 6]]
来源:oschina
链接:https://my.oschina.net/stackoom/blog/3160810