您可以使用zip 和reduce 内置函数(以及在python3 中functools.reduce)来做到这一点:
>>> list_of_servers=[server1,server2,server3]
>>> s=reduce(lambda x,y:x+y,zip(*list_of_servers))
>>> s
('a', 'd', 'g', 'b', 'e', 'h', 'c', 'f', 'i')
或者,对于长列表,您可以使用 itertools.chain 来连接返回生成器的子列表,而不是 reduce():
>>> list(chain(*zip(*[server1,server2,server3])))
['a', 'd', 'g', 'b', 'e', 'h', 'c', 'f', 'i']
注意如果你想迭代你的结果,你不必在chain的结果上使用list。你可以这样做:
for element in chain(*zip(*[server1,server2,server3])):
#do stuff
对前面的食谱进行基准测试:
#reduce()
:~$ python -m timeit "server1 = ['a','b','c'];server2 = ['d','e','f'];server3 = ['g','h','i'];reduce(lambda x,y:x+y,zip(*[server1,server2,server3]))"
1000000 loops, best of 3: 1.11 usec per loop
#itertools.chain()
:~$ python -m timeit "server1 = ['a','b','c'];server2 = ['d','e','f'];server3 = ['g','h','i'];from itertools import chain;chain(*zip(*[server1,server2,server3]))"
100000 loops, best of 3: 2.02 usec per loop
请注意,如果您不将服务器放在列表中,它会更快:
:~$ python -m timeit "server1 = ['a','b','c'];server2 = ['d','e','f'];server3 = ['g','h','i'];reduce(lambda x,y:x+y,zip(server1,server2,server3))"
1000000 loops, best of 3: 0.98 usec per loop