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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 -- This message was sent by Atlassian Jira (v8.3.4#803005)