html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/issues/1375#issuecomment-402699810,https://api.github.com/repos/pydata/xarray/issues/1375,402699810,MDEyOklzc3VlQ29tbWVudDQwMjY5OTgxMA==,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?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,221858543
https://github.com/pydata/xarray/issues/1375#issuecomment-402699290,https://api.github.com/repos/pydata/xarray/issues/1375,402699290,MDEyOklzc3VlQ29tbWVudDQwMjY5OTI5MA==,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.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,221858543
https://github.com/pydata/xarray/issues/1375#issuecomment-395009307,https://api.github.com/repos/pydata/xarray/issues/1375,395009307,MDEyOklzc3VlQ29tbWVudDM5NTAwOTMwNw==,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 :)","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,221858543