Reputation: 1085
Is there a way to do this without using a regular for loop to iterate through the main list?
>>> map(lambda x: x*2, [[1,2,3],[4,5,6]])
[[1, 2, 3, 1, 2, 3], [4, 5, 6, 4, 5, 6]]
# want [[2,4,6],[8,10,12]]
Upvotes: 3
Views: 513
Reputation: 29690
This is a bit overkill and not too practical for this particular example, but another stylistic option could be to use functools.partial
to make it very clear what is happening and a combination of map
and a list comprehension.
from functools import partial
from operator import mul
l = [[1, 2, 3], [4, 5, 6]]
double = partial(mul, 2)
dub_l = [map(double, sub) for sub in l]
Upvotes: 0
Reputation: 31171
Alternative solution would be to go for numpy vectorized operations:
import numpy as np
ll = [[1,2,3],[4,5,6]]
(2*np.array(ll)).tolist()
#Out[6]: [[2, 4, 6], [8, 10, 12]]
Upvotes: 3
Reputation: 239463
You have nested lists, and x
represents just one of the lists. To process that, you need to actually map the multiplication function on to the individual elements of x
, like this
>>> map(lambda x: map(lambda y: y * 2, x), [[1, 2, 3], [4, 5, 6]])
[[2, 4, 6], [8, 10, 12]]
But I would prefer list comprehension over this,
>>> [[y * 2 for y in x] for x in [[1, 2, 3], [4, 5, 6]]]
[[2, 4, 6], [8, 10, 12]]
Upvotes: 11