issue_comments: 974864775

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https://github.com/pydata/xarray/pull/5981#issuecomment-974864775 https://api.github.com/repos/pydata/xarray/issues/5981 974864775 IC_kwDOAMm_X846G0GH 10050469 2021-11-21T17:59:22Z 2021-11-21T17:59:22Z MEMBER

Side note: with this design (no call to repr() in format()) we would mimick numpy's behavior:

python a = np.array([0.1, 0.2]) a.__format__("") Out[16]: '[0.1 0.2]' a.__repr__() Out[17]: 'array([0.1, 0.2])'

However I'm quite surprised as to why .__format__("") works on non-scalar arrays but not with other specifiers - this is discussed somehow in https://github.com/numpy/numpy/issues/5543 . I think it's okay for xarray to defer to whatever numpy is doing here, but of course we can also keep the status-quo, it's quite a small change after all. 

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