issue_comments: 824354016

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https://github.com/pydata/xarray/issues/3291#issuecomment-824354016 https://api.github.com/repos/pydata/xarray/issues/3291 824354016 MDEyOklzc3VlQ29tbWVudDgyNDM1NDAxNg== 1217238 2021-04-21T20:59:18Z 2021-04-21T21:00:41Z MEMBER

If ds["time"] is a 1D indexed coordinate, is ds["time"].data ≡ ds.indexes["time"].data? If so, that would just be a pd.DatetimeIndex which is timezone-aware and then this problem is solved because we don't maintain a separate numpy array. Am I understanding this correctly?

No, unfortunate it is not possible to use a pandas.Index directly inside Variable.data, because pandas.Index is not compatible with the NumPy array API -- in particular it is stuck with 1D data. Instead, we will need to wrap the array in some adapter class to make it compatible. Ideally this wrapper would be a fully N-dimensional wrapper for pandas.Series objects, but for a first pass it would probably be fine to raise an error if indexing would create a higher dimensional array.

The bigger issue is that elsewhere in Xarray probably needs updates to avoid assuming that all dtype objects are numpy.dtype instances.

 
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