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https://issues.apache.org/jira/browse/ARROW-1664?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16932827#comment-16932827
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Joris Van den Bossche commented on ARROW-1664:
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In general, xarray datasets/dataarrays do not necessarily match Arrow's data
model (eg they can have multiple dimensions). Of course, you can have a subset
of cases where your xarray object would map nicely to an Arrow table.
Also, given that xarray uses contiguous numpy arrays and Arrow 1D arrays, I am
not sure that Arrow is very suited for zero-copy serialization for such
objects? (converting to arrow could be zero-copy, but not the other way around?)
So given that, I am not sure pyarrow should necessarily support xarray objects
specifically.
We could indeed think about a "table protocol", but for that I think it would
be nice to have some more practical use cases.
> [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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