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/7772#issuecomment-1517659721,https://api.github.com/repos/pydata/xarray/issues/7772,1517659721,IC_kwDOAMm_X85adaZJ,14808389,2023-04-21T11:05:40Z,2023-04-21T11:05:40Z,MEMBER,"that's a numpy array with sparse data. What @TomNicholas was talking about is a array of type `sparse.COO` (from the [sparse](https://github.com/pydata/sparse/) package).

And as far as I can tell, our wrapper class (which is the reason why you don't get the memory error on open) does not define `nbytes`, so at the moment there's no way to do that. You could try using `dask`, though, which does allow working with bigger-than-memory data.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1676561243