Hi folks,
Apologies if this is documented somewhere, but I haven't been able to find it.
I've read through NEP-42 [1] and skimmed NEP-41 [2], but I'm not sure:
(a) at what point of implementation we are, and
(b) if it's pretty much done, *how* to define a custom categorical dtype.
In my use case, I'd need a dtype that is implemented as some int scalar where
only certain values are allowed, ie the NumPy equivalent of:
class Label(Enum)
CAR = 1
DOG = 45
NULL = 255
But with the ability to specify that I only need a uint8 in this case.
Is that possible today using Python (no C/Cython) and if so, is there some
documentation or user example or StackOverflow answer that shows how to do
this? If not, is it a design goal of the NEPs to allow such a thing? (I can be
patient 😂)
Thank you!
Juan.
[1]: https://numpy.org/neps/nep-0042-new-dtypes.html
[2]: https://numpy.org/neps/nep-0041-improved-dtype-support.html_______________________________________________
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