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From "Matthew Rocklin (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (ARROW-376) Python: Convert non-range Pandas indices (optionally) to Arrow
Date Thu, 02 Mar 2017 23:09:45 GMT

    [ https://issues.apache.org/jira/browse/ARROW-376?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15893208#comment-15893208
] 

Matthew Rocklin commented on ARROW-376:
---------------------------------------

I would love to see this issue get higher priority.  I would like to experiment with using
Arrow as Dask's network serialization format for pandas dataframes if it were implemented.
 I think we would see good speed boosts on communication heavy workloads like shuffles.  This
would be fun to write about afterwards.

> Python: Convert non-range Pandas indices (optionally) to Arrow
> --------------------------------------------------------------
>
>                 Key: ARROW-376
>                 URL: https://issues.apache.org/jira/browse/ARROW-376
>             Project: Apache Arrow
>          Issue Type: Improvement
>          Components: Python
>            Reporter: Uwe L. Korn
>            Assignee: Jim Ahn
>            Priority: Minor
>              Labels: newbie
>
> Currently the indices of a Pandas DataFrame are totally ignored on the Pandas to Arrow
conversion. We should add an option to also convert the index to an Arrow column if they are
not a simple range index.
> The condition for a simple index should be {{isinstance(df.index, pd.RangeIndex) &&
(df.index._start == 0) && (df.index._stop == len(df.index)) && (df.index._step
== 1)}}. In this case, we can always skip the index conversion. Otherwise, a new column in
the Arrow table shall be created using the index' name as the name of the column. Additionally
there should be some metadata annotation of that column that it is derived of an Pandas Index,
so that for roundtrips, we'll use it again as the index of a DataFrame.



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