I sure like the idea of this.
I agree that this should be external to numpy. At least until it becomes a
standard in a sense that json itself is.
And that n-dimensional array should ideally be extended to indexed structures
with named dimensions and attributes. To accommodate a superset of: xar
Bravo for this very comprehensive work which covers all technical/scientific
data structures well !
I think we share the same goal of improving interoperability through the use of
neutral formats.
However, I see some differences:
- I focus efforts more particularly on increasing the semantic le
aside from the previously mentioned ticket
https://github.com/numpy/numpy/issues/12481, I also made a similar proposal,
posted in 2021
https://github.com/numpy/numpy/issues/20461
https://mail.python.org/archives/list/numpy-discussion@python.org/message/EVQW2PO64464JEN3RQXSCDP32RQDIQFW/
lightwe
On Tue, Feb 27, 2024 at 3:45 PM wrote:
> Thanks Ralf,
>
> This answers my question about the absence of I/O Numpy format.
>
> There are three other points related to this format proposal:
>
> - integration of a semantic level above the number / character formats as
> for datetime (e.g. units, poi
