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/1194#issuecomment-605632224,https://api.github.com/repos/pydata/xarray/issues/1194,605632224,MDEyOklzc3VlQ29tbWVudDYwNTYzMjIyNA==,1200058,2020-03-29T13:00:29Z,2020-03-29T13:03:46Z,NONE,"Currently I keep carrying a ""<arrayname>_missing"" mask with all of my unstacked arrays to solve this issue. It would be very desirable to have a clean solution for this to keep arrays from being converted to `float`. 
Also, `NaN` does not necessarily mean `NA` which already caused me quite some head-scratching in the past. Further, it would be a very cool indicator to see which values of a dense array should be converted into a sparse array.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,199188476