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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2021/07/07 23:18:00 UTC
[jira] [Commented] (SPARK-36035) Make `test_astype` work with all
pandas versions in pandas API on Spark
[ https://issues.apache.org/jira/browse/SPARK-36035?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17376894#comment-17376894 ]
Apache Spark commented on SPARK-36035:
--------------------------------------
User 'xinrong-databricks' has created a pull request for this issue:
https://github.com/apache/spark/pull/33250
> Make `test_astype` work with all pandas versions in pandas API on Spark
> -----------------------------------------------------------------------
>
> Key: SPARK-36035
> URL: https://issues.apache.org/jira/browse/SPARK-36035
> Project: Spark
> Issue Type: Test
> Components: PySpark
> Affects Versions: 3.2.0
> Reporter: Xinrong Meng
> Priority: Major
>
> For pandas < 1.1.0, declaring or converting to StringDtype was in general only possible if the data was already only str or nan-like (GH31204).
> In pandas 1.1.0, the problem is adjusted by https://pandas.pydata.org/pandas-docs/stable/whatsnew/v1.1.0.html#all-dtypes-can-now-be-converted-to-stringdtype.
> That should be considered in `test_astype`, otherwise, current tests will fail with pandas < 1.1.0.
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