[Numpy-discussion] next NumPy triage meeting
The next NumPy triage meeting will be held this Wednesday, May 31st at 5pm UTC. This is a meeting where we synchronously triage prioritized PRs and issues. Join us via Zoom: https://numfocus-org.zoom.us/j/82096749952?pwd=MW9oUmtKQ1c3a2gydGk1RTdYUUVXZz09 . Everyone is welcome to attend and contribute to a conversation. Please notify us of issues or PRs that you’d like to have reviewed by adding a GitHub link to them in the meeting agenda: https://hackmd.io/68i_JvOYQfy9ERiHgXMPvg. -- Cheers, Inessa Inessa Pawson Contributor Experience Lead | NumPy https://numpy.org/ GitHub: inessapawson ___ 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
[Numpy-discussion] next NumPy Newcomers' Hour - 8pm UTC
Our next Newcomers' Hour will be held this Thursday, June 1st at 8pm UTC. Stop by to ask questions, share your progress, celebrate success, or just to say hi. To add to the meeting agenda the topics you’d like to discuss, follow the link: https://hackmd.io/3f3otyyuTte3FU9y3QzsLg?both. Join the meeting via Zoom: https://us06web.zoom.us/j/82563808729?pwd=ZFU3Z2dMcXBGb05YemRsaGE1OW5nQT09. -- Cheers, Inessa Inessa Pawson Contributor Experience Lead | NumPy https://numpy.org/ GitHub: inessapawson ___ 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
[Numpy-discussion] Categorical dtypes
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___ 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
