[jira] [Commented] (SPARK-36143) Adjust astype of Series with missing values to follow pandas

["Apache Spark (Jira)" <ji...@apache.org>]

    [ 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.



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