pandas.Series has a nlargest/nsmallest method that might be upstream-able.
On Wed, Feb 23, 2022 at 6:28 AM Friedrich Romstedt <
friedrichromst...@gmail.com> wrote:
> Am Di., 22. Feb. 2022 um 14:25 Uhr schrieb Joseph Bolton
> :
> >
> > I find myself often requiring the indices and/or values of the
Am Di., 22. Feb. 2022 um 14:25 Uhr schrieb Joseph Bolton
:
>
> I find myself often requiring the indices and/or values of the top (or
> bottom) k items in a numpy array.
There has been discussion about this last year:
https://mail.python.org/archives/list/numpy-discussion@python.org/thread/F4P5U
Morning!
I find myself often requiring the indices and/or values of the top (or
bottom) k items in a numpy array. I am aware of solutions involving
*partition*/*argpartition *but I find these inelegant (or using *sort *but
these are inefficient).
Is this a feature that would benefit the numpy pac
Joe,
Could you show an example that you find inelegant and elaborate on how you
intend to improve it? It's hard to discuss without more specific
information.
- Joe
On Tue, Feb 22, 2022, 07:23 Joseph Bolton
wrote:
> Morning,
>
> My apologies if this deviates from the vision of numpy:
>
> I find
