[jira] [Commented] (ARROW-2121) Consider special casing object arrays in pandas serializers.

["ASF GitHub Bot (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/ARROW-2121?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16357951#comment-16357951 ] 

ASF GitHub Bot commented on ARROW-2121:
---------------------------------------

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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