On Wed, Jul 5, 2017 at 10:40 AM, Chris Barker <chris.barker@noaa.gov> wrote:

Along those lines, there was some discussion of having a set of utilities (or maybe eve3n an ABC?) that would make it easier to create a ndarray-like object.

That is, the boilerplate needed for multi-dimensional indexing and slicing, etc...

That could be a nice little sprint-able project.

Indeed. Let me highlight a few mixins that I wrote for xarray that might be more broadly useful. The challenge here is that there are quite a few different meanings to "ndarray-like", so mixins really need to be mix-and-match-able. But at least defining a base list of methods to implement/override would be useful.

In NumPy, this could go along with NDArrayOperatorsMixins in numpy/lib/mixins.py