On Fri, Jan 24, 2014 at 4:01 PM, Dinesh Vadhia
wrote:
>
> If A is very large and B is very small then np.concatenate(A, B) will copy
> B's data over to A which would take less time than the other way around -
is
> that so?
No, neither array is modified in-place. A new array is created and both A
If A is very large and B is very small then np.concatenate(A, B) will copy
B's data over to A which would take less time than the other way around - is
that so?
Does 'memory order' mean that it depends on sufficient contiguous
memory being available for B otherwise it will be fragmented or somethi
On Fri, 2014-01-24 at 06:13 -0800, Dinesh Vadhia wrote:
> When using vstack or hstack for large arrays, are there any
> performance penalties eg. takes longer time-wise or makes a copy of an
> array during operation ?
No, they all use concatenate. There are only constant overheads on top
of the ne
When using vstack or hstack for large arrays, are there any performance
penalties eg. takes longer time-wise or makes a copy of an array during
operation ?___
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