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Posted to issues@spark.apache.org by "Dongjoon Hyun (Jira)" <ji...@apache.org> on 2020/06/11 04:30:00 UTC
[jira] [Updated] (SPARK-31964) Avoid Pandas import for
CategoricalDtype with Arrow conversion
[ https://issues.apache.org/jira/browse/SPARK-31964?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Dongjoon Hyun updated SPARK-31964:
----------------------------------
Issue Type: Improvement (was: Bug)
> Avoid Pandas import for CategoricalDtype with Arrow conversion
> --------------------------------------------------------------
>
> Key: SPARK-31964
> URL: https://issues.apache.org/jira/browse/SPARK-31964
> Project: Spark
> Issue Type: Improvement
> Components: PySpark
> Affects Versions: 3.1.0
> Reporter: Bryan Cutler
> Assignee: Bryan Cutler
> Priority: Minor
> Fix For: 3.1.0
>
>
> The import for CategoricalDtype changed in Pandas from 0.23 to 1.0 and currently pyspark checks 2 places to import. It would be better check the type as a string and avoid any imports.
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