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https://issues.apache.org/jira/browse/ARROW-376?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15990372#comment-15990372
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Wes McKinney edited comment on ARROW-376 at 4/30/17 8:27 PM:
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Removing this from release blocker. We can make 0.3.0.post artifacts if we want
to get this out there before the 0.4 release
was (Author: wesmckinn):
Removing this from release blocker. We can release 0.3.0.post if we want to get
this out there before the 0.4 release
> 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
> Affects Versions: 0.2.0
> Reporter: Uwe L. Korn
> Assignee: Phillip Cloud
> Priority: Minor
> Fix For: 0.4.0
>
>
> 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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