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  • dcherian · 1 ✖

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  • Unexpected type conversion in variables with _FillValue · 1 ✖

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  • MEMBER · 1 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
990192331 https://github.com/pydata/xarray/issues/6055#issuecomment-990192331 https://api.github.com/repos/pydata/xarray/issues/6055 IC_kwDOAMm_X847BSLL dcherian 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.

 
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   Unexpected type conversion in variables with _FillValue 1075765204

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