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  • numpy function very slow on DataArray compared to DataArray.values · 3 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
456894745 https://github.com/pydata/xarray/issues/1247#issuecomment-456894745 https://api.github.com/repos/pydata/xarray/issues/1247 MDEyOklzc3VlQ29tbWVudDQ1Njg5NDc0NQ== dcherian 2448579 2019-01-23T17:34:21Z 2019-01-23T17:34:21Z MEMBER

Closing as upstream issue.

 
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   numpy function very slow on DataArray compared to DataArray.values 205215815
277344856 https://github.com/pydata/xarray/issues/1247#issuecomment-277344856 https://api.github.com/repos/pydata/xarray/issues/1247 MDEyOklzc3VlQ29tbWVudDI3NzM0NDg1Ng== shoyer 1217238 2017-02-03T19:50:10Z 2017-02-03T19:50:10Z MEMBER

@vnoel Yes, I think this is most easily fixed upstream

 
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   numpy function very slow on DataArray compared to DataArray.values 205215815
277323562 https://github.com/pydata/xarray/issues/1247#issuecomment-277323562 https://api.github.com/repos/pydata/xarray/issues/1247 MDEyOklzc3VlQ29tbWVudDI3NzMyMzU2Mg== shoyer 1217238 2017-02-03T18:26:33Z 2017-02-03T19:49:40Z MEMBER

There's an underlying NumPy issue here for why this is slow (https://github.com/numpy/numpy/issues/8562).

For histogram2d in particular, this could be fixed in NumPy by calling np.asarray on each of x and y before passing them to histogramdd.

 
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   numpy function very slow on DataArray compared to DataArray.values 205215815

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