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  • max-sixty · 2 ✖

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  • sparse and other duck array issues · 2 ✖

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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
555650664 https://github.com/pydata/xarray/issues/3245#issuecomment-555650664 https://api.github.com/repos/pydata/xarray/issues/3245 MDEyOklzc3VlQ29tbWVudDU1NTY1MDY2NA== max-sixty 5635139 2019-11-19T18:44:23Z 2019-11-19T18:44:23Z MEMBER

assparse could read in at least two different ways, and one of which is not really appropriate.

brilliant

 
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   sparse and other duck array issues 484240082
524456277 https://github.com/pydata/xarray/issues/3245#issuecomment-524456277 https://api.github.com/repos/pydata/xarray/issues/3245 MDEyOklzc3VlQ29tbWVudDUyNDQ1NjI3Nw== max-sixty 5635139 2019-08-23T20:44:53Z 2019-08-23T20:44:53Z MEMBER

I do think the pandas approach is pretty good here - don't break anything relying on .values - instead have .array to get the backing array (in whatever form it might be), and to_numpy() coercing to a raw numpy array

ref https://pandas.pydata.org/pandas-docs/stable/whatsnew/v0.24.0.html#accessing-the-values-in-a-series-or-index

 
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   sparse and other duck array issues 484240082

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