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https://issues.apache.org/jira/browse/ARROW-1664?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16932606#comment-16932606
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Mitar commented on ARROW-1664:
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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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