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  • shoyer · 2 ✖

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  • formatting of singleton DataArrays · 2 ✖

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469325571 https://github.com/pydata/xarray/issues/2791#issuecomment-469325571 https://api.github.com/repos/pydata/xarray/issues/2791 MDEyOklzc3VlQ29tbWVudDQ2OTMyNTU3MQ== shoyer 1217238 2019-03-04T16:48:03Z 2019-03-04T16:48:03Z MEMBER

Here's a related NumPy issue: https://github.com/numpy/numpy/issues/5543

I guess there are two possible behaviors for '{:d}'.format(x) where x is a DataArray object: - coerce scalar arrays to native Python numbers and format it like a float - vectorize format() over each element of the array (the proposal in the linked numpy issue)

These behaviors would definitely conflict for scalar objects -- in the second case, we would still want to include some indication that it's an xarray.DataArray. NumPy doesn't have a conflict because indexing an array results in a NumPy scalars, which prints like Python builtin scalars.

 
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   formatting of singleton DataArrays 415209776
469155529 https://github.com/pydata/xarray/issues/2791#issuecomment-469155529 https://api.github.com/repos/pydata/xarray/issues/2791 MDEyOklzc3VlQ29tbWVudDQ2OTE1NTUyOQ== shoyer 1217238 2019-03-04T08:05:53Z 2019-03-04T08:05:53Z MEMBER

Yes, I think this would be a nice addition. This would entail implementing a __format__ method on xarray.DataArray: https://docs.python.org/3/reference/datamodel.html#object.format

 
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   formatting of singleton DataArrays 415209776

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