issue_comments: 847418464

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https://github.com/pydata/xarray/issues/5287#issuecomment-847418464 https://api.github.com/repos/pydata/xarray/issues/5287 847418464 MDEyOklzc3VlQ29tbWVudDg0NzQxODQ2NA== 8078968 2021-05-24T23:25:56Z 2021-05-24T23:25:56Z NONE

Unfortunately, pandas-dev/pandas#35032 was closed

I'm hoping to re-open at some point. The trouble I ran into is that a) there isn't any way to implement __array_function__ incrementally and b) there aren't any assurances on where self is among the args and kwargs passed to __array_function__. The workarounds I came up with for the latter were pretty ugly. Input would be welcome.

Keep in mind that PR implemented __array_function__ for NDArrayBackedExtensionArray (includes DatetimeArray, TimedeltaArray, PeriodArray, Categorical (and i expect most 3rd party EAs will be natural candidates)). Implementing it on the base ExtensionArray class would be a different animal.

Support N-D data, on top of pandas' 1D API. This would make extension arrays more generally useful in Xarray, but some operations might be hard to do efficiently

ATM NDArrayBackedExtensionArray explicitly supports 2D, and because it is a thin wrapper around np.ndarray higher-dimensions should either work or be within spitting distance of working.

I'm trying to get support for 2D more generally (xref https://github.com/pandas-dev/pandas/pull/38992), but at best it will be a while before that becomes a reality.

 
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