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user 1

  • aulemahal · 3 ✖

issue 1

  • Implementation of polyfit and polyval · 3 ✖

author_association 1

  • CONTRIBUTOR · 3 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
603976716 https://github.com/pydata/xarray/pull/3733#issuecomment-603976716 https://api.github.com/repos/pydata/xarray/issues/3733 MDEyOklzc3VlQ29tbWVudDYwMzk3NjcxNg== aulemahal 20629530 2020-03-25T17:26:59Z 2020-03-25T17:26:59Z CONTRIBUTOR

Yay! Many thanks, this will greatly improve our projects.

 
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   Implementation of polyfit and polyval 557627188
603901324 https://github.com/pydata/xarray/pull/3733#issuecomment-603901324 https://api.github.com/repos/pydata/xarray/issues/3733 MDEyOklzc3VlQ29tbWVudDYwMzkwMTMyNA== aulemahal 20629530 2020-03-25T15:19:53Z 2020-03-25T15:19:53Z CONTRIBUTOR

Ping. It be green.

 
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   Implementation of polyfit and polyval 557627188
580369935 https://github.com/pydata/xarray/pull/3733#issuecomment-580369935 https://api.github.com/repos/pydata/xarray/issues/3733 MDEyOklzc3VlQ29tbWVudDU4MDM2OTkzNQ== aulemahal 20629530 2020-01-30T17:39:54Z 2020-01-30T22:23:31Z CONTRIBUTOR

Oh dask="allowed", that's true! For the coeficients and residuals, I can easily do this stacking and unstacking and return only one variable. So, apply_ufunc could be used. However, it would not be very useful right now, considering they way I implemented the least-squares fit directly. Meaning: the left hand side computation and scaling and the not-fitted-dimensions stacking would be done on each call of numpy.polyfit if I did call it directly. Right now, we save some of this overhead by doing it once before iterating on 1d axes (which is anyway needed with skipna=True).

 
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   Implementation of polyfit and polyval 557627188

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