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  • shoyer · 2 ✖

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  • Disable bottleneck by default? · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1351908915 https://github.com/pydata/xarray/issues/7344#issuecomment-1351908915 https://api.github.com/repos/pydata/xarray/issues/7344 IC_kwDOAMm_X85QlH4z shoyer 1217238 2022-12-14T18:24:04Z 2022-12-14T18:24:04Z MEMBER

I think it's OK to still require bottleneck for ffill and bfill:

  1. There are no numerical concerns: these functions simply repeat numbers forward (or backwards).
  2. There is no good alternative to using a loop, and writing the loop in NumPy would be probitively slow.
 
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   Disable bottleneck by default? 1471685307
1336299057 https://github.com/pydata/xarray/issues/7344#issuecomment-1336299057 https://api.github.com/repos/pydata/xarray/issues/7344 IC_kwDOAMm_X85Ppk4x shoyer 1217238 2022-12-04T01:55:34Z 2022-12-04T01:55:34Z MEMBER

The case where Bottleneck really makes a difference was for moving window statistics, where it uses a smarter algorithm than our current NumPy implementation, which creating a moving window view.

Otherwise, I agree, it probably isn't worth the trouble.

That said -- we could also switch to smarter NumPy based algorithms to implement most moving window calculations, e.g,. using np.nancumsum for moving window means.

 
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   Disable bottleneck by default? 1471685307

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