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Posted to issues@arrow.apache.org by "Wes McKinney (JIRA)" <ji...@apache.org> on 2019/02/06 14:35:00 UTC
[jira] [Commented] (ARROW-4492) [Python] Failure reading Parquet
column as pandas Categorical in 0.12
[ https://issues.apache.org/jira/browse/ARROW-4492?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16761781#comment-16761781 ]
Wes McKinney commented on ARROW-4492:
-------------------------------------
added to 0.13 milestone
> [Python] Failure reading Parquet column as pandas Categorical in 0.12
> ---------------------------------------------------------------------
>
> Key: ARROW-4492
> URL: https://issues.apache.org/jira/browse/ARROW-4492
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
> Affects Versions: 0.12.0
> Reporter: George Sakkis
> Priority: Major
> Labels: Parquet
> Fix For: 0.13.0
>
> Attachments: slug.pq
>
>
> On pyarrow 0.12.0 some (but not all) columns cannot be read as category dtype. Attached is an extracted failing sample.
> {noformat}
> import dask.dataframe as dd
> df = dd.read_parquet('slug.pq', categories=['slug'], engine='pyarrow').compute()
> print(len(df['slug'].dtype.categories))
> {noformat}
> This works on pyarrow 0.11.1 (and fastparquet 0.2.1).
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