Reputation: 193
I have a list of lists, each containing a different number of strings. I'd like to (efficiently) convert these all to ints, but am feeling kind of dense, since I can't get it to work out for the life of me. I've been trying: newVals = [int(x) for x in [row for rows in values]]
Where 'values' is the list of lists. It keeps saying that x is a list and can therefore not be the argument if int(). Obviously I'm doing something stupid here, what is it? Is there an accepted idiom for this sort of thing?
Upvotes: 15
Views: 29161
Reputation: 1098
In order to map list with any number of dimensions you could use numpy.apply_over_axes
import numpy as np
np.apply_over_axes(lambda x,_:x*2, np.array([[1,2,3],[5,2,1]]),[0])
--------------------
array([[ 2, 4, 6],
[10, 4, 2]])
Unfortunately that doesn't work if you also need to change variable type. Didn't find any library solution for this, so here is the code to do that:
def map_multi_dimensional_list(l, transform):
if type(l) == list and len(l) > 0:
if type(l[0]) != list:
return [transform(v) for v in l]
else:
return [map_multi_dimensional_list(v, transform) for v in l]
else:
return []
map_multi_dimensional_list([[[1,2,3],[5,2,1]],[[10,20,30],[50,20,10]]], lambda x:x*2)
------------------
[[[2, 4, 6], [10, 4, 2]], [[20, 40, 60], [100, 40, 20]]]
Upvotes: 0
Reputation: 1895
Another workaround
a = [[1, 2, 3], [7, 8, 6]]
list(map(lambda i: list(map(lambda j: j - 1, i)), a))
[[0, 1, 2], [6, 7, 5]] #output
Upvotes: 3
Reputation: 17213
an ugly way is to use evalf:
>>> eval(str(a).replace("'",""))
[[1, 2, 3], [4, 5, 6], [7, 8, 9]]
if you don't mind all your numbers in one array you could go:
>>> a = [['1','2','3'],['4','5','6'],['7','8','9']]
>>> map(int,sum(a,[]))
[1, 2, 3, 4, 5, 6, 7, 8, 9]
Upvotes: 0
Reputation: 29131
You simply use incorrect order and parenthesis - should be:
inputVals = [['1','2','3'], ['3','3','2','2']]
[int(x) for row in inputVals for x in row]
Or if you need list of list at the output then:
map(lambda row: map(int, row), inputVals)
Upvotes: 1
Reputation: 304503
This leaves the ints nested
[map(int, x) for x in values]
If you want them flattened, that's not hard either
for Python3 map()
returns an iterator. You could use
[list(map(int, x)) for x in values]
but you may prefer to use the nested LC's in that case
[[int(y) for y in x] for x in values]
Upvotes: 23
Reputation: 33407
How about:
>>> a = [['1','2','3'],['4','5','6'],['7','8','9']]
>>> [[int(j) for j in i] for i in a]
[[1, 2, 3], [4, 5, 6], [7, 8, 9]]
Upvotes: 11