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  • Implement polyfit? · 2 ✖

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537622127 https://github.com/pydata/xarray/issues/3349#issuecomment-537622127 https://api.github.com/repos/pydata/xarray/issues/3349 MDEyOklzc3VlQ29tbWVudDUzNzYyMjEyNw== shoyer 1217238 2019-10-02T18:30:25Z 2019-10-02T18:30:25Z MEMBER

It seems like these are getting reinvented often enough that it's worth pulling some of these into xarray proper.

On Wed, Oct 2, 2019 at 9:04 AM Ryan Abernathey notifications@github.com wrote:

I'm getting deja-vu here... Xscale has a huge and impressive sounding API. But no code coverage and no commits since January. Like many of these projects, it seems to have bit off more than its maintainers could chew.

— You are receiving this because you commented. Reply to this email directly, view it on GitHub https://github.com/pydata/xarray/issues/3349?email_source=notifications&email_token=AAJJFVV5XANAGSPKHSF6KZLQMTA7HA5CNFSM4I3HCUUKYY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGOEAFJCDI#issuecomment-537563405, or mute the thread https://github.com/notifications/unsubscribe-auth/AAJJFVREMUT5RKJJESG5NVLQMTA7HANCNFSM4I3HCUUA . 

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   Implement polyfit? 499477363
536690748 https://github.com/pydata/xarray/issues/3349#issuecomment-536690748 https://api.github.com/repos/pydata/xarray/issues/3349 MDEyOklzc3VlQ29tbWVudDUzNjY5MDc0OA== shoyer 1217238 2019-09-30T18:29:10Z 2019-09-30T18:29:10Z MEMBER

From a user perspective, I think people prefer to find stuff in one place.

From a maintainer perspective, as long as it's somewhat domain agnostic (e.g., "physical sciences" rather than "oceanography") and written to a reasonable level of code quality, I think it's fine to toss it into xarray. "Already exists in NumPy/SciPy" is probably a reasonable proxy for the former.

So I say: yes, let's toss in polyfit, along with fast fourier transforms.

If we're concerned about clutter, we can put stuff in a dedicated namespace, e.g., xarray.wrappers.

 
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   Implement polyfit? 499477363

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