issue_comments: 469437857

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https://github.com/pydata/xarray/issues/2791#issuecomment-469437857 https://api.github.com/repos/pydata/xarray/issues/2791 469437857 MDEyOklzc3VlQ29tbWVudDQ2OTQzNzg1Nw== 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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