issue_comments: 1313866757

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https://github.com/pydata/xarray/issues/7250#issuecomment-1313866757 https://api.github.com/repos/pydata/xarray/issues/7250 1313866757 IC_kwDOAMm_X85OUAQF 4160723 2022-11-14T14:45:39Z 2022-11-14T14:45:39Z MEMBER

That's a bug in this method: https://github.com/pydata/xarray/blob/6f9e33e94944f247a5c5c5962a865ff98a654b30/xarray/core/indexing.py#L1528-L1532

Xarray array wrappers for pandas indexes keep track of the original dtype and should restore it when converted into numpy arrays. Something like this should work for the same method:

python def __array__(self, dtype: DTypeLike = None) -> np.ndarray: if dtype is None: dtype = self.dtype if self.level is not None: return np.asarray( self.array.get_level_values(self.level).values, dtype=dtype ) else: return super().__array__(dtype)

 
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