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  • mrocklin · 3 ✖

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  • Sparse arrays · 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
511209094 https://github.com/pydata/xarray/issues/1375#issuecomment-511209094 https://api.github.com/repos/pydata/xarray/issues/1375 MDEyOklzc3VlQ29tbWVudDUxMTIwOTA5NA== mrocklin 306380 2019-07-14T14:50:45Z 2019-07-14T14:50:45Z MEMBER

@nvictus has been working on this at #3117 

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   Sparse arrays 221858543
510943157 https://github.com/pydata/xarray/issues/1375#issuecomment-510943157 https://api.github.com/repos/pydata/xarray/issues/1375 MDEyOklzc3VlQ29tbWVudDUxMDk0MzE1Nw== mrocklin 306380 2019-07-12T16:07:42Z 2019-07-12T16:07:42Z MEMBER

@rgommers might be able to recommend someone

 
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   Sparse arrays 221858543
294381137 https://github.com/pydata/xarray/issues/1375#issuecomment-294381137 https://api.github.com/repos/pydata/xarray/issues/1375 MDEyOklzc3VlQ29tbWVudDI5NDM4MTEzNw== mrocklin 306380 2017-04-16T23:50:26Z 2017-04-16T23:50:26Z MEMBER

Here is a brief attempt at a multi-dimensional sparse array: https://github.com/mrocklin/sparse

It depends on numpy and scipy.sparse and, with the exception of a bit of in-memory data movement and copies, should run at scipy speeds (though I haven't done any benchmarking).

@rabernat do you have an application that we could use to drive this?

 
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   Sparse arrays 221858543

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