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  • Hoeze · 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
402699810 https://github.com/pydata/xarray/issues/1375#issuecomment-402699810 https://api.github.com/repos/pydata/xarray/issues/1375 MDEyOklzc3VlQ29tbWVudDQwMjY5OTgxMA== Hoeze 1200058 2018-07-05T12:02:30Z 2018-07-05T12:02:30Z NONE

How should these sparse arrays get stored in NetCDF4? I know that NetCDF4 has some conventions how to store sparse data, but do we have to implement our own conversion mechanisms for each sparse type?

 
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   Sparse arrays 221858543
402699290 https://github.com/pydata/xarray/issues/1375#issuecomment-402699290 https://api.github.com/repos/pydata/xarray/issues/1375 MDEyOklzc3VlQ29tbWVudDQwMjY5OTI5MA== Hoeze 1200058 2018-07-05T12:00:15Z 2018-07-05T12:00:15Z NONE

Would it be an option to use dask's sparse support? http://dask.pydata.org/en/latest/array-sparse.html This way xarray could let dask do the main work.

Currently I load everything into a dask array by hand and pass this dask array to xarray. This works pretty good.

 
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   Sparse arrays 221858543
395009307 https://github.com/pydata/xarray/issues/1375#issuecomment-395009307 https://api.github.com/repos/pydata/xarray/issues/1375 MDEyOklzc3VlQ29tbWVudDM5NTAwOTMwNw== Hoeze 1200058 2018-06-06T09:39:43Z 2018-06-06T09:41:28Z NONE

I'd know a project which could make perfect use of xarray, if it would support sparse tensors: https://github.com/theislab/anndata

Currently I have to work with both xarray and anndata to store counts in sparse arrays separate from other depending data which is a little bit annoying :)

 
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   Sparse arrays 221858543

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