Hi, thanks for your proposal. The Methods in stats often have a Keyword nan_policy that allows to omit NaNs or to raise an error. There are some inconsitencies though (you can find the issues on Github). What kind of treatment do you propose for circular mean / std? Christoph 1. NaN insensitive circular statistics (Burrell, Angeline)

2. Re: triage team (Ralf Gommers) 3. Re: Matrix identification methods (Joseph Fox-Rabinovitz)

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Message: 1 Date: Wed, 14 Aug 2019 17:49:49 +0000 From: "Burrell, Angeline" <angeline.burrell@nrl.navy.mil> To: "scipy-dev@python.org" <scipy-dev@python.org> Subject: [SciPy-Dev] NaN insensitive circular statistics Message-ID: <6DEB95FA-2CCA-4C32-9CD5-D77585D92375@contoso.com> Content-Type: text/plain; charset="utf-8"

Second attempt for a response for a new feature to scipy.stats, since I was alerted that my first email was going into spam folders. I do hope to hear back (positively or negatively) from the community.

I have NaN insensitive versions of the SciPy circular mean and standard deviation routines that I would like to contribute to the scipy.stats subpackage. Since the hacking guidelines recommend discussing new contributions on this mailing list, I'd like to get the communal go-ahead before proceeding to integrate the routines and unit tests into scipy. For consistency, I would also add a NaN insensitive version of the circular variance routine.

Cheers, Angeline

----------------------------------------------------- Dr. Angeline G. Burrell [she/her/hers] Research Physicist, Bldg. 209 Naval Research Laboratory (NRL) 4555 Overlook Ave SW Washington, DC 20375 (P) 202-404-4065 -----------------------------------------------------