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https://issues.apache.org/jira/browse/SPARK-37512?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-37512.
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Assignee: Xinrong Meng
Resolution: Fixed
Fixed in https://github.com/apache/spark/pull/34776
> Support TimedeltaIndex creation (from Series/Index) and TimedeltaIndex.astype
> -----------------------------------------------------------------------------
>
> Key: SPARK-37512
> URL: https://issues.apache.org/jira/browse/SPARK-37512
> Project: Spark
> Issue Type: Sub-task
> Components: PySpark
> Affects Versions: 3.3.0
> Reporter: Xinrong Meng
> Assignee: Xinrong Meng
> Priority: Major
>
>
> To solve the issues below:
> {code:java}
> >>> idx = ps.TimedeltaIndex([timedelta(1), timedelta(microseconds=2)])
> >>> idx
> TimedeltaIndex(['1 days 00:00:00', '0 days 00:00:00.000002'],
> dtype='timedelta64[ns]', freq=None)
> >>> ps.TimedeltaIndex(idx)
> Traceback (most recent call last):
> ...
> raise TypeError("astype can not be applied to %s." % self.pretty_name)
> TypeError: astype can not be applied to timedelta.
> {code}
>
>
>
> {code:java}
> >>> s = ps.Series([timedelta(1), timedelta(microseconds=2)], index=[10, 20])
> >>> s
> 10 1 days 00:00:00
> 20 0 days 00:00:00.000002
> dtype: timedelta64[ns]
> >>> ps.TimedeltaIndex(s)
> Traceback (most recent call last):
> ...
> raise TypeError("astype can not be applied to %s." % self.pretty_name)
> TypeError: astype can not be applied to timedelta.
> {code}
>
>
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