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https://issues.apache.org/jira/browse/ARROW-428?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15761942#comment-15761942
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Wes McKinney commented on ARROW-428:
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Yeah, we should definitely pre-allocate an appropriately contiguous DataFrame
(since we know the null counts, we can create the right dtypes too). I can help
with this as part of this JIRA
> [Python] Deserialize from Arrow record batches to pandas in parallel using a
> thread pool
> ----------------------------------------------------------------------------------------
>
> Key: ARROW-428
> URL: https://issues.apache.org/jira/browse/ARROW-428
> Project: Apache Arrow
> Issue Type: New Feature
> Components: C++
> Reporter: Wes McKinney
>
> By default {{to_pandas}} can use {{multiprocessing.cpu_count()}} to select a
> number of threads.
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