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Posted to issues@spark.apache.org by "Sean R. Owen (Jira)" <ji...@apache.org> on 2022/09/13 01:47:00 UTC
[jira] [Resolved] (SPARK-40376) `np.bool` will be deprecated
[ https://issues.apache.org/jira/browse/SPARK-40376?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean R. Owen resolved SPARK-40376.
----------------------------------
Fix Version/s: 3.4.0
Resolution: Fixed
Issue resolved by pull request 37817
[https://github.com/apache/spark/pull/37817]
> `np.bool` will be deprecated
> ----------------------------
>
> Key: SPARK-40376
> URL: https://issues.apache.org/jira/browse/SPARK-40376
> Project: Spark
> Issue Type: Improvement
> Components: Optimizer
> Affects Versions: 3.3.0
> Reporter: Elhoussine Talab
> Assignee: Elhoussine Talab
> Priority: Trivial
> Fix For: 3.4.0
>
>
> Using `np.bool` generates this warning:
> {quote}
> UserWarning: toPandas attempted Arrow optimization because 'spark.sql.execution.arrow.pyspark.enabled' is set to true, but has reached the error below and can not continue. Note that 'spark.sql.execution.arrow.pyspark.fallback.enabled' does not have an effect on failures in the middle of computation.
> 3070E `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.
> 3071E Deprecated in NumPy 1.20; for more details and guidance: [https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations]
> {quote}
>
> See Numpy's deprecation statement here: [https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations]
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