[
https://issues.apache.org/jira/browse/ARROW-4492?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Rok Mihevc updated ARROW-4492:
------------------------------
External issue URL: https://github.com/apache/arrow/issues/21046
> [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: 0.12.1
>
> 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).
--
This message was sent by Atlassian Jira
(v8.20.10#820010)
