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/3213#issuecomment-943517731,https://api.github.com/repos/pydata/xarray/issues/3213,943517731,IC_kwDOAMm_X844PPAj,14808389,2021-10-14T16:25:04Z,2021-10-14T16:25:04Z,MEMBER,"that's mostly an oversight, I think. However, to be really useful we'd need to get a `sparse-xarray` library which makes working with `sparse` and `xarray` easier (going from dense to sparse or the reverse still requires something like `da.copy(data=sparse.COO.from_numpy(da.data))`, which is not user-friendly).

Anyways, the docs you're looking for is [working with numpy-like arrays](https://xarray.pydata.org/en/stable/user-guide/duckarrays.html), even though there's no explicit mention of `sparse` there, either.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,479942077