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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2022/03/26 15:44:00 UTC
[jira] [Commented] (SPARK-37512) Support TimedeltaIndex creation (from Series/Index) and TimedeltaIndex.astype
[ https://issues.apache.org/jira/browse/SPARK-37512?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17512744#comment-17512744 ]
Apache Spark commented on SPARK-37512:
--------------------------------------
User 'Yikun' has created a pull request for this issue:
https://github.com/apache/spark/pull/35980
> 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
> Fix For: 3.3.0
>
>
>
> 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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