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  • array api - Add tests for aggregations · 3 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1516345065 https://github.com/pydata/xarray/pull/7424#issuecomment-1516345065 https://api.github.com/repos/pydata/xarray/issues/7424 IC_kwDOAMm_X85aYZbp tomwhite 85085 2023-04-20T13:37:13Z 2023-04-20T13:37:13Z CONTRIBUTOR 
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   array api - Add tests for aggregations 1522810384
1471758792 https://github.com/pydata/xarray/pull/7424#issuecomment-1471758792 https://api.github.com/repos/pydata/xarray/issues/7424 IC_kwDOAMm_X85XuUHI tomwhite 85085 2023-03-16T11:15:33Z 2023-03-16T11:15:33Z CONTRIBUTOR

I was hoping https://github.com/data-apis/array-api-compat might help with this, but I'm not sure it does...

 
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   array api - Add tests for aggregations 1522810384
1373979208 https://github.com/pydata/xarray/pull/7424#issuecomment-1373979208 https://api.github.com/repos/pydata/xarray/issues/7424 IC_kwDOAMm_X85R5UJI Illviljan 14371165 2023-01-06T18:18:56Z 2023-01-15T16:09:05Z MEMBER

The array api standard doesn't define any nan*-functions. xarray pretty much always defaults to using nan*-function. :(

So any time an array has a __array_namespace__ we have to use our own nan-solution, like for .sum: https://github.com/pydata/xarray/blob/d6d24507793af9bcaed79d7f8d3ac910e176f1ce/xarray/core/duck_array_ops.py#L288-L295

Any thoughts? Are there any clever ways to handle the aggregations with NaNs in a generic way?

edit: numpy implementations: https://github.com/numpy/numpy/blob/main/numpy/lib/nanfunctions.py

 
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   array api - Add tests for aggregations 1522810384

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