交替附加两个列表中的元素-Python问题

alternately appending elements from two lists(交替附加两个列表中的元素)

本文介绍了交替附加两个列表中的元素的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！

问题描述

I have three lists with elements :

a = [[0,1],[2,3],...]
b = [[5,6],[7,8],...]

c = []

I want to append elements from a and b into c to get:

c = [ [0,1],[5,6],[2,3],[7,8],.... ]

解决方案

Another very simple approach using string slicing (and most performance efficient) as:

>>> a = [[0,1],[2,3]]
>>> b = [[5,6],[7,8]]
>>> c = a + b # create a list with size = len(a) + len(b)
>>> c[::2], c[1::2] = a, b  # alternately insert the value
>>> c
[[0, 1], [5, 6], [2, 3], [7, 8]]

Below is the comparison of results with timeit for the answers mentioned here (Python version: 2.7):

Using string slicing: 0.586 usec per loop

moin@moin-pc:~$ python -m "timeit" -s "a = [[0,1],[2,3]]; b = [[5,6],[7,8]];" "c = a + b; c[::2], c[1::2] = a, b"
1000000 loops, best of 3: 0.586 usec per loop

Using itertools.chain(): 1.89 usec per loop

moin@moin-pc:~$ python -m "timeit" -s "from itertools import chain; a = [[0,1],[2,3]]; b = [[5,6],[7,8]];" "c = list(chain(*zip(a, b)))"
1000000 loops, best of 3: 1.89 usec per loop

Using reduce(): 0.829 usec per loop

moin@moin-pc:~$ python -m "timeit" -s "import operator; a = [[0,1],[2,3]]; b = [[5,6],[7,8]];" "c = reduce(operator.concat, zip(a, b))"
1000000 loops, best of 3: 0.829 usec per loop

Using list.extend(): 0.824 usec per loop

 moin@moin-pc:~$ python -m "timeit" -s "a = [[0,1],[2,3]]; b = [[5,6],[7,8]]; c=[]" "for pair in zip(a,b): c.extend(pair)"
 1000000 loops, best of 3: 0.824 usec per loop

Using list.append() twice: 1.04 usec per loop

moin@moin-pc:~$ python -m "timeit" -s "a = [[0,1],[2,3]]; b = [[5,6],[7,8]]; c=[]" "for a_element, b_element in zip(a, b): c.append(a_element); c.append(b_element)"
1000000 loops, best of 3: 1.04 usec per loop

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