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-605697466,https://api.github.com/repos/pydata/xarray/issues/1194,605697466,MDEyOklzc3VlQ29tbWVudDYwNTY5NzQ2Ng==,6130352,2020-03-29T20:37:29Z,2020-03-29T20:37:29Z,NONE,"I agree, I have this same issue with large genotyping data arrays often containing tiny integers and some degree of missingness in nearly 100% of raw datasets. Are there recommended workarounds now? I am thinking of constantly using Datasets instead of DataArrays with mask arrays to accompany every data array, but I'm not sure if that's the best interim solution.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,199188476 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 ""_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 https://github.com/pydata/xarray/issues/1194#issuecomment-457158136,https://api.github.com/repos/pydata/xarray/issues/1194,457158136,MDEyOklzc3VlQ29tbWVudDQ1NzE1ODEzNg==,26384082,2019-01-24T11:05:22Z,2019-01-24T11:05:22Z,NONE,"In order to maintain a list of currently relevant issues, we mark issues as stale after a period of inactivity If this issue remains relevant, please comment here; otherwise it will be marked as closed automatically ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,199188476