[Numpy-discussion] start of an array (tensor) and dataframe API standardization initiative

[Matti Picus]

On 11/10/20 8:19 PM, Ralf Gommers wrote:
> Hi all,
>
> I'd like to share an update on this topic. The draft array API 
> standard is now ready for wider review:
>
> - Blog post: https://data-apis.org/blog/array_api_standard_release 
> <https://data-apis.org/blog/array_api_standard_release/>
> - Array API standard document: 
> https://data-apis.github.io/array-api/latest/
> - Repo: https://github.com/data-apis/array-api/
>
> It would be great if people - and in particular, NumPy maintainers - 
> could have a look at it and see if that looks sensible from a NumPy 
> perspective and whether the goals and benefits of adopting it are 
> described clearly enough and are compelling.
>

I think it is compelling for a first version. The test suite and 
benchmark suite will be valuable tools. I hope future versions 
standardize complex numbers as a dtype. I realize there is a limit to 
the breadth of the scope of functions to be covered. Is there a page 
that lists them in one place? For instance I tried to look up what the 
standard has to say on issue https://github.com/numpy/numpy/issues/17760 
about using bincount on unt64 arrays. It took me a while to figure out 
that bincount was not in the API (although unique(..., return_counts) is).


Matti