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  • max-sixty · 1 ✖

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  • Assigning nan to int-dtype array converts nan to int · 1 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
753426964 https://github.com/pydata/xarray/issues/4612#issuecomment-753426964 https://api.github.com/repos/pydata/xarray/issues/4612 MDEyOklzc3VlQ29tbWVudDc1MzQyNjk2NA== max-sixty 5635139 2021-01-02T03:55:30Z 2021-01-02T03:55:30Z MEMBER

Thanks, I agree this looks like a bug.

One oddity is that by supplying dtype="u8" I see the assignment having no effect:

```

In [18]: import xarray ...: import numpy ...: da = xarray.DataArray(numpy.array([0,1], dtype="u8")) ...: da[0] = numpy.nan ...: print(da) <xarray.DataArray (dim_0: 2)> array([0, 1], dtype=uint64) Dimensions without coordinates: dim_0 ```

I see the same result without the dtype arg.

 
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   Assigning nan to int-dtype array converts nan to int 751732952

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