Hello,
I would like to propose adding the `out` array as an optional parameter to
`bincount`. This makes `bincount` very useful when iteratively tallying data
with large indices.
Consider this example tallying batches of values from some fictional source of
data:
>>> tally = np.zeros(1**
On Thu, 2022-10-20 at 23:26 +, ntess...@pm.me wrote:
> Hello,
>
Hi,
I don't have a strong opinion yet it does seem potentially useful, but
I think there would be some details to hash out in the proposal.
Some thoughts:
* `np.add.at` should be able to do what you want (but of course is very
Hi, thanks for your reply. Let me try and answer your points one by one.
> * `np.add.at` should be able to do what you want (but of course is very
> slow right now, and maybe hard to get as fast as bincount even if
> improved).
It is indeed far too slow to be useful for my particular applicat
I'm probably not understanding all the subtleties here. In the
documentation for can_cast (and other places), it says, "'safe' means
only casts which can preserve values are allowed." So by that
definition, I think 'safe' casting should disallow 5000 to be cast to
int8, because it would not preserv
