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/6055#issuecomment-990192331,https://api.github.com/repos/pydata/xarray/issues/6055,990192331,IC_kwDOAMm_X847BSLL,2448579,2021-12-09T19:53:12Z,2021-12-09T19:53:12Z,MEMBER,"I think this might be unfixable.

The problem is that xarray represents both `missing_value`  and `_FillValue` by `np.nan`. So if  `_FillValue` is present, we promote to a floating type and then apply a mask

https://github.com/pydata/xarray/blob/a9238339f55edac0f2efb4a231c8818c5539bd28/xarray/coding/variables.py#L133-L141

Setting  `mask_and_scale=False`  seems like the best option, though maybe we should split that up since masking and scaling are independent.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1075765204