Mitar commented on ARROW-1664:

As [~wesmckinn]  wrote: the idea is to get zero-copy reads. So serializing 
might be slow, but deserializing would be fast.

I think Pandas DataFrame also is not using "arrow under the hood" but arrow 
supports it. Why not then also work on supporting xarray?

It is maybe not a priority now, but it should/could be done, in my view. So I 
would ask to reopen this issue.

> [Python] Support for xarray.DataArray and xarray.Dataset
> --------------------------------------------------------
>                 Key: ARROW-1664
>                 URL: https://issues.apache.org/jira/browse/ARROW-1664
>             Project: Apache Arrow
>          Issue Type: Bug
>          Components: Python
>            Reporter: Mitar
>            Priority: Minor
> DataArray and Dataset are efficient in-memory representations for multi 
> dimensional data. It would be great if one could share them between processes 
> using Arrow.
> http://xarray.pydata.org/en/stable/generated/xarray.DataArray.html#xarray.DataArray
> http://xarray.pydata.org/en/stable/generated/xarray.Dataset.html#xarray.Dataset

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