[Numpy-discussion] Adding an axis argument to numpy.unique

Nathaniel Smith njs@pobox....
Tue Aug 20 06:34:48 CDT 2013


On 20 Aug 2013 12:09, <josef.pktd@gmail.com> wrote:
>
> On Tue, Aug 20, 2013 at 5:04 AM, Nathaniel Smith <njs@pobox.com> wrote:
> > On 20 Aug 2013 01:39, "Joe Kington" <joferkington@gmail.com> wrote:
> >>
> >>
> >>
> >>
> >> ...<snip>
> >>>
> >>>
> >>> However, my first interpretation of an axis argument in unique would
> >>> be that it treats each column (or whatever along axis) separately.
> >>> Analogously to max, argmax and similar.
> >>
> >>
> >> Good point!
> >>
> >> That's certainly a potential source of confusion.  However, I can't
seem
> >> to come up with a better name for the kwarg. Matlab's "unique"
function has
> >> a "rows" option, which is probably a more intuitive name, but doesn't
imply
> >> the expansion to N-dimensions.
> >>
> >> "axis" is still fairly idiomatic, despite the confusion over "unique
> >> rows/columns/etc" vs "unique items within each row/column/etc".
> >>
> >> Any thoughts on a better name for the argument?
> >
> > I also found this pretty confusing when first looking at the PR.
> >
> > One option might be to invert the sense of the argument to emphasize
that
> > it's treating subarrays as units, so instead of specifying the iteration
> > axis you specify the axes of the subarray. compare_axis= or something?
>
> you would need compare_axes (plural for ndim>2) and have to specify
> all but one axis, AFAICS.

Well, it makes sense to specify any arbitrary subset of axes, whether or
not that's currently implemented.

-n
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