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__ is passed an
array that has already been stripped of the additional attributes, and I
don't see a way to recover this information.
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 handling concatenate in a general way, assuming I can get
access to the attributes.
So is there any way to subclass ndarray in such a way that concatenate can
be handled properly?
I have been looking extensively online, but have not been able to find a
clear answer on how to do this, or if there even is a way.
