issue_comments: 605632224

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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.

 
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