There is this How do you split a list into evenly sized chunks? for splitting an array into chunks. Is there anyway to do this more efficiently for giant arrays using Numpy?
Try numpy.array_split
.
From the documentation:
>>> x = np.arange(8.0)
>>> np.array_split(x, 3)
[array([ 0., 1., 2.]), array([ 3., 4., 5.]), array([ 6., 7.])]
Identical to numpy.split
, but won't raise an exception if the groups aren't equal length.
If number of chunks > len(array) you get blank arrays nested inside, to address that - if your split array is saved in a
, then you can remove empty arrays by:
[x for x in a if x.size > 0]
Just save that back in a
if you wish.