I'm trying to subclass an ndarray so that I can add some additional fields.
When I do this however, I get new odd behavior when my object is passed to
a variety of numpy functions. For example nanmin returns now return an
object of the type of my new array class, whereas previously I'd get a
float6
Doh! Thanks for that.
On Tue, Nov 15, 2016 at 10:48 AM, Marten van Kerkwijk <
m.h.vankerkw...@gmail.com> wrote:
> Hi Stuart,
>
> It certainly seems correct behaviour to return the subclass you
> created: after all, you might want to keep the information on
> `columns` (e.g., consider doing nanmin
I'm trying to subclass an NDArray as shown here:
https://docs.scipy.org/doc/numpy/user/basics.subclassing.html
My problem is that when I save the new class' state with pickle, the new
attributes are lost. I don't seem to be able to override __getstate__ or
__setstate__ to achieve this?
Is it p
[off topic]
Nothing good ever comes from using Euler matrices. All the cool kids a
using quaternions these days. They're (in some ways) simpler, can be
interpolated easily, don't suffer from gimbal lock (discontinuity), and are
not confused about which axis rotation is applied first (for Euler you
