[
https://issues.apache.org/jira/browse/SPARK-36143?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17384999#comment-17384999
]
Apache Spark commented on SPARK-36143:
--------------------------------------
User 'xinrong-databricks' has created a pull request for this issue:
https://github.com/apache/spark/pull/33466
> Adjust astype of Series with missing values to follow pandas
> ------------------------------------------------------------
>
> Key: SPARK-36143
> URL: https://issues.apache.org/jira/browse/SPARK-36143
> Project: Spark
> Issue Type: Sub-task
> Components: PySpark
> Affects Versions: 3.2.0
> Reporter: Xinrong Meng
> Priority: Major
>
> {code:java}
> >>> pser = pd.Series([1, 2, np.nan], dtype=float)
> >>> psser = ps.from_pandas(pser)
> >>> pser.astype(int)
> ...
> ValueError: Cannot convert non-finite values (NA or inf) to integer
> >>> psser.astype(int)
> 0 1.0
> 1 2.0
> 2 NaN
> dtype: float64
> {code}
> As shown above, astype of Series with missing values doesn't behave the same
> as pandas, we ought to adjust that.
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
