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  • fujiisoup · 2 ✖

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  • formatting of singleton DataArrays · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
469437857 https://github.com/pydata/xarray/issues/2791#issuecomment-469437857 https://api.github.com/repos/pydata/xarray/issues/2791 MDEyOklzc3VlQ29tbWVudDQ2OTQzNzg1Nw== fujiisoup 6815844 2019-03-04T21:57:04Z 2019-03-04T21:57:04Z MEMBER

@yohai , sorry, I misunderstood __format__ and __repr__. I like shoyer's

vectorize format() over each element of the array (the proposal in the linked numpy issue)

as I feel it more consistent with the existing xarray __repr__.

I sometimes want a 0d-dataarray to behave as a native scalar. format is one of a typical case, but there are several other cases, e.g., np.ones(xr.DataArray([0])[0]). Therefore, I always needs to be carefule whether the scalar is xarray object or not.

I am a bit worrying if printing 0d-dataarray as a scalar would confuse me as it is a scalar not a 0d-array.

 
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   formatting of singleton DataArrays 415209776
469160334 https://github.com/pydata/xarray/issues/2791#issuecomment-469160334 https://api.github.com/repos/pydata/xarray/issues/2791 MDEyOklzc3VlQ29tbWVudDQ2OTE2MDMzNA== fujiisoup 6815844 2019-03-04T08:23:42Z 2019-03-04T08:23:42Z MEMBER

I agree that it is a bit annoying that 1d DataArray prints much information especially we want to embed the value into a string. However, I'm a bit worried whether it would be surprising if an object that looks a native scalar is actually an xr.DataArray of one element, especially when working in an interactive environment.

 
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   formatting of singleton DataArrays 415209776

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