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Posted to jira@arrow.apache.org by "Kouhei Sutou (Jira)" <ji...@apache.org> on 2022/10/19 03:11:00 UTC
[jira] [Updated] (ARROW-17636) [Python] Converting Table to pandas raises NotImplementedError (when table previously saved as partitioned parquet dataset)
[ https://issues.apache.org/jira/browse/ARROW-17636?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Kouhei Sutou updated ARROW-17636:
---------------------------------
Fix Version/s: 11.0.0
(was: 10.0.0)
> [Python] Converting Table to pandas raises NotImplementedError (when table previously saved as partitioned parquet dataset)
> ---------------------------------------------------------------------------------------------------------------------------
>
> Key: ARROW-17636
> URL: https://issues.apache.org/jira/browse/ARROW-17636
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
> Affects Versions: 9.0.0
> Environment: Docker container, based on continuumio/anaconda3
> Python 3.9.12
> PyArrow 9.0.0
> Reporter: Roberto Lobo
> Assignee: Joris Van den Bossche
> Priority: Major
> Fix For: 11.0.0
>
> Attachments: bug.py
>
>
> When converting a table in which one of the column's type is of DictionaryType (values=int32, indices=int32, ordered=0) the conversion to pandas DataFrame fails with:
> NotImplementedError: dictionary<values=int32, indices=int32, ordered=0>
> The dictionary has this conversion not implmented yet.
> This DictionaryType is used as type when using one of the columns (Int64) as one of the parquet's dataset partition columns.
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