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- Assigning nan to int-dtype array converts nan to int · 1 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
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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 ``` 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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