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/7782#issuecomment-1520409398,https://api.github.com/repos/pydata/xarray/issues/7782,1520409398,IC_kwDOAMm_X85an5s2,90768774,2023-04-24T15:39:50Z,2023-04-24T15:39:50Z,CONTRIBUTOR,"Your suggestion worked perfectly, thank you very much! Avoiding using `astype()` reduced processing time massively","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1681353195
https://github.com/pydata/xarray/issues/7782#issuecomment-1520341470,https://api.github.com/repos/pydata/xarray/issues/7782,1520341470,IC_kwDOAMm_X85anpHe,90768774,2023-04-24T14:58:36Z,2023-04-24T14:58:36Z,CONTRIBUTOR,"Thank you for your quick reply. Adding the `mask_and_scale=False` kwarg solves the issue of conversion to float, but the resulting is of dtype `int8` instead of `uint8`. Is there any way of making `open_dataset()` directly interpret the values as unsigned? 

It would save me quite a lot of processing time since using `DataArray.astype(np.uint8)` takes a while to run.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1681353195