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https://issues.apache.org/jira/browse/SPARK-37039?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-37039.
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Fix Version/s: 4.0.0
Resolution: Fixed
Issue resolved by pull request 44570
[https://github.com/apache/spark/pull/44570]
> 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
> Assignee: Haejoon Lee
> Priority: Major
> Labels: pull-request-available
> Fix For: 4.0.0
>
>
> 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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