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  • `axis` keyword ignored when applying `np.squeeze` to `DataArray` · 1 ✖

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  • NONE · 1 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
318110051 https://github.com/pydata/xarray/issues/1487#issuecomment-318110051 https://api.github.com/repos/pydata/xarray/issues/1487 MDEyOklzc3VlQ29tbWVudDMxODExMDA1MQ== tondieker 25275251 2017-07-26T16:35:45Z 2017-07-26T16:35:45Z NONE

Yes, I did realize there are workarounds and DataArray.squeeze() is the preferred one.

In my mind this is a kind of incompatibility problem and it would be nice to fix this. I had existing numpy code, and later decided to add dimension and coordinate labels using xarray. I was under the impression that xarray.DataArrays behave the same as numpy.ndarrays when applying numpy functions, so that I didn't have to change any of my code.

At least for np.squeeze this is not the case. Perhaps there are other functions for which a similar issue arises. If you don't think this kind of compatibility is desired then it would be good to address this in the documentation.

 
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   `axis` keyword ignored when applying `np.squeeze` to `DataArray` 245468219

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