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],.... ]
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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