[SciPy-Dev] NaN insensitive circular statistics

[Christoph Baumgarten]

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)
>
>
> ----------------------------------------------------------------------
>
> Message: 1
> Date: Wed, 14 Aug 2019 17:49:49 +0000
> From: "Burrell, Angeline" <angeline.burrell at nrl.navy.mil>
> To: "scipy-dev at python.org" <scipy-dev at python.org>
> Subject: [SciPy-Dev] NaN insensitive circular statistics
> Message-ID: <6DEB95FA-2CCA-4C32-9CD5-D77585D92375 at 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
> -----------------------------------------------------
>
>
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