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  • Articoking · 2 ✖

issue 1

  • xr.open_dataset() reading ubyte variables as float32 from DAP server · 2 ✖

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  • CONTRIBUTOR · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1520409398 https://github.com/pydata/xarray/issues/7782#issuecomment-1520409398 https://api.github.com/repos/pydata/xarray/issues/7782 IC_kwDOAMm_X85an5s2 Articoking 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

 
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   xr.open_dataset() reading ubyte variables as float32 from DAP server 1681353195
1520341470 https://github.com/pydata/xarray/issues/7782#issuecomment-1520341470 https://api.github.com/repos/pydata/xarray/issues/7782 IC_kwDOAMm_X85anpHe Articoking 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.

 
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   xr.open_dataset() reading ubyte variables as float32 from DAP server 1681353195

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