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 level with a generalization and an extension of the notion of type, - I also try not to call into question what works well so that the impacts are minimal. For example, we can have a mixed JSON structure integrating a part of data in NTV format and another part outside it. Likewise for tabular data, we can go from a "format" type to a "semantic" type without significant impact for a tool like Pandas. More particularly, concerning multidimensional data, it seems to me that it is necessary not to limit oneself to the ndarray structure but that it is also necessary to integrate associated structures such as those defined in Xarray. _______________________________________________ NumPy-Discussion mailing list -- numpy-discussion@python.org To unsubscribe send an email to numpy-discussion-le...@python.org https://mail.python.org/mailman3/lists/numpy-discussion.python.org/ Member address: arch...@mail-archive.com
