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Posted to jira@arrow.apache.org by "Mike (Jira)" <ji...@apache.org> on 2022/01/20 22:24:00 UTC
[jira] [Updated] (ARROW-15018) DataFrame Index modified during Feather serialization round trip
[ https://issues.apache.org/jira/browse/ARROW-15018?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Mike updated ARROW-15018:
-------------------------
Description:
Some (or all) indexes are converted to a {{RangeIndex}} after a Feather serialization/deserialization round trip. I came across this in pyarrow 3.0.0 and 6.0.1 for both a {{MultiIndex}} and an empty dataframe ({{{}Dataframe.index{}}} -> {{{}RangeIndex{}}}).
Desired behavior: A dataframe with any type of index would be supported and a serialization/deserialization round trip would preserve the index and yield an identical dataframe
Please feel free to modify priority and issue type as appropriate, thanks!
was:
Some (or all) indexes are converted to a {{RangeIndex}} after a Feather serialization/deserialization round trip. I came across this in pyarrow 3.0.0 and 6.0.1 for both a {{MultiIndex}} and an empty dataframe ({{{}Dataframe.index{}}} -> {{{}RangeIndex{}}}).
Please feel free to modify priority and issue type as appropriate, thanks!
> DataFrame Index modified during Feather serialization round trip
> ----------------------------------------------------------------
>
> Key: ARROW-15018
> URL: https://issues.apache.org/jira/browse/ARROW-15018
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
> Affects Versions: 3.0.0, 6.0.1
> Reporter: Mike
> Priority: Major
>
> Some (or all) indexes are converted to a {{RangeIndex}} after a Feather serialization/deserialization round trip. I came across this in pyarrow 3.0.0 and 6.0.1 for both a {{MultiIndex}} and an empty dataframe ({{{}Dataframe.index{}}} -> {{{}RangeIndex{}}}).
>
> Desired behavior: A dataframe with any type of index would be supported and a serialization/deserialization round trip would preserve the index and yield an identical dataframe
>
> Please feel free to modify priority and issue type as appropriate, thanks!
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