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  • Calling max() on a stacked dimension raises exception · 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
487291300 https://github.com/pydata/xarray/issues/2923#issuecomment-487291300 https://api.github.com/repos/pydata/xarray/issues/2923 MDEyOklzc3VlQ29tbWVudDQ4NzI5MTMwMA== arabidopsis 9948595 2019-04-27T14:38:12Z 2019-04-27T14:38:12Z CONTRIBUTOR

Seems that the problem begins when xarray.core.nanops._nan_minmax_object converts the max index value (2,99) tuple (which is correct) to np.array((0,99), dtype='O') which is not because np.array converts this from dims=() to dims=(2,).

Which is now incorrect. Interesting... how do you tell numpy to create a 0 dimension array with a tuple?

 
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   Calling max() on a stacked dimension raises exception 437940426

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