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https://issues.apache.org/jira/browse/ARROW-8679?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17528587#comment-17528587
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Joris Van den Bossche commented on ARROW-8679:
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With the current Arrow data types, we don't really have support for sparse
data, so there is no direct way to support conversion from/to pandas sparse
Series (except for converting to dense).
There has been some discussion in the past about extending the Arrow spec to
sparse/compressed data (e.g. RLE), but no one has started yet on a full
proposal.
> [Python] supporting pandas sparse series in pyarrow
> ---------------------------------------------------
>
> Key: ARROW-8679
> URL: https://issues.apache.org/jira/browse/ARROW-8679
> Project: Apache Arrow
> Issue Type: New Feature
> Components: Python
> Environment: ubuntu 16/18
> Reporter: Michael Novitsky
> Priority: Major
> Fix For: 0.17.0
>
>
> I've seen that Pandas sparse series was not supported in pyarrow since it was
> planned to be deprecated. In Pandas 1.0.1 they released a stable version of
> sparse array and as far as I know it is not planned to be deprecated anymore.
> Are you planning to support sparse series in next versions of pyarrow ?
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