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https://issues.apache.org/jira/browse/ARROW-2121?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16357951#comment-16357951
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ASF GitHub Bot commented on ARROW-2121:
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robertnishihara opened a new pull request #1581: [WIP] ARROW-2121: [Python]
Handle object arrays directly in pandas serializer.
URL: https://github.com/apache/arrow/pull/1581
The goal here is to get the best of both the `pandas_serialization_context`
(speed at serializing pandas dataframes containing strings and other objects)
and the `default_serialization_context` (correctly serializing a large class of
numpy object arrays).
This PR sort of messes up the function
`pa.pandas_compat.dataframe_to_serialized_dict`. Is that function just a helper
function for implementing the custom pandas serializers? Or is it intended to
be used in other places.
TODO in this PR (assuming you think this approach is reasonable):
- [ ] remove `pandas_serialization_context`
- [ ] make sure this code path is tested
- [ ] double check that performance is good
cc @wesm @pcmoritz @devin-petersohn
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> Consider special casing object arrays in pandas serializers.
> ------------------------------------------------------------
>
> Key: ARROW-2121
> URL: https://issues.apache.org/jira/browse/ARROW-2121
> Project: Apache Arrow
> Issue Type: Improvement
> Components: Python
> Reporter: Robert Nishihara
> Priority: Major
> Labels: pull-request-available
>
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