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  • SpghttCd · 1 ✖

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  • Problem with creating coords by dict · 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
271864879 https://github.com/pydata/xarray/issues/1197#issuecomment-271864879 https://api.github.com/repos/pydata/xarray/issues/1197 MDEyOklzc3VlQ29tbWVudDI3MTg2NDg3OQ== SpghttCd 25030860 2017-01-11T13:12:32Z 2017-01-11T13:12:32Z NONE

Hello, thanks for the immediate reply - and to seize the opportunity: thanks for this really great library, which I think will be the enabler for me to - finally - use netCDF4 for my measurement facility like I wished for years now. However, I have to disagree in your point regarding the not fitting dimensions in the DataArray definition. np.zeros() will for sure return an n-dimensional array when called with a length-n list as argument, which I did with n=3 and the list [1,2,3]. I.e. calling np.zeros([1, 2, 3]) will return array([ [ [ 0., 0., 0.], [ 0., 0., 0.] ] ])

Besides, the working alternatives with tuples or the OrderedDict use the very same dummy array for initializing in the example above.

Further I estimate the 0.8.2-error-message completely consistent: it (silently) acknowledges that there are three dimensions in both the zeros-array and the coords by reporting a problem about not fitting lengths of the third one of each, 'z'.

Though by adding a one-dimensional dims-definition, you turn the following error messages away from the original problem, now indeed introducing an inconsistency in dimensions between dims and data.

 
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   Problem with creating coords by dict 199816142

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