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Posted to issues@spark.apache.org by "Yikun Jiang (Jira)" <ji...@apache.org> on 2021/10/18 12:00:00 UTC
[jira] [Commented] (SPARK-37039) np.nan series.astype(bool) should
be True
[ https://issues.apache.org/jira/browse/SPARK-37039?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17429973#comment-17429973 ]
Yikun Jiang commented on SPARK-37039:
-------------------------------------
working on this
> np.nan series.astype(bool) should be True
> -----------------------------------------
>
> Key: SPARK-37039
> URL: https://issues.apache.org/jira/browse/SPARK-37039
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 3.3.0
> Reporter: Yikun Jiang
> Priority: Major
>
> np.nan series.astype(bool) should be True, rather than Fasle:
> https://github.com/apache/spark/blob/46bcef7472edd40c23afd9ac74cffe13c6a608ad/python/pyspark/pandas/data_type_ops/base.py#L147
> >>> pd.Series([1, 2, np.nan], dtype=float).astype(bool)
> >>> pd.Series([1, 2, np.nan], dtype=str).astype(bool)
> >>> pd.Series([datetime.date(1994, 1, 31), datetime.date(1994, 2, 1), np.nan])
> 0 True
> 1 True
> 2 True
> dtype: bool
> But in pyspark, it is:
> 0 True
> 1 True
> 2 False
> dtype: bool
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