On Wed, Jul 5, 2017 at 10:40 AM, Chris Barker <chris.bar...@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 <https://github.com/pydata/xarray/blob/6a20f917041abf53bcb35e210d59f5b331211012/xarray/core/utils.py#L381-L425> 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 <https://github.com/numpy/numpy/blob/14cd918c651d72f4c2a8681093e114f01d5bdc36/numpy/lib/mixins.py>
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