On Wed, Jan 30, 2013 at 11:20 AM, Sebastian Berg wrote:
>
> >
> >
> > > In my particular case at least, there are clear ways to
> > handle corner
> > > cases (like being passed a class that lacks these
> > attributes), so in
> > > principle there no problem
On Wed, 2013-01-30 at 10:24 +0100, Todd wrote:
> On Tue, Jan 22, 2013 at 1:44 PM, Sebastian Berg
> wrote:
> Hey,
>
> On Tue, 2013-01-22 at 10:21 +0100, Todd wrote:
>
>
> > The main exception I have found is concatenate (and
> hstack/vstack
On Tue, Jan 22, 2013 at 1:44 PM, Sebastian Berg
wrote:
> Hey,
>
> On Tue, 2013-01-22 at 10:21 +0100, Todd wrote:
>
> > The main exception I have found is concatenate (and hstack/vstack,
> > which just wrap concatenate). In this case, __array_finalize__ is
> > passed an array that has already been
On Tue, 2013-01-22 at 13:44 +0100, Sebastian Berg wrote:
> Hey,
>
> On Tue, 2013-01-22 at 10:21 +0100, Todd wrote:
> > I am trying to create a subclass of ndarray that has additional
> > attributes. These attributes are maintained with most numpy functions
> > if __array_finalize__ is used.
> >
Hey,
On Tue, 2013-01-22 at 10:21 +0100, Todd wrote:
> I am trying to create a subclass of ndarray that has additional
> attributes. These attributes are maintained with most numpy functions
> if __array_finalize__ is used.
>
You can cover a bit more if you also implement `__array_wrap__`, thou
I am trying to create a subclass of ndarray that has additional
attributes. These attributes are maintained with most numpy functions if
__array_finalize__ is used.
The main exception I have found is concatenate (and hstack/vstack, which
just wrap concatenate). In this case, __array_finalize__ i
