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https://issues.apache.org/jira/browse/ARROW-6974?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Antoine Pitrou closed ARROW-6974.
---------------------------------
Resolution: Done
This works now:
{code:python}
>>> s = pa.scalar(datetime.now())
>>> s
<pyarrow.TimestampScalar: datetime.datetime(2021, 11, 23, 19, 48, 19, 732990)>
>>> pc.cast(s, pa.timestamp('ns'))
<pyarrow.TimestampScalar: Timestamp('2021-11-23 19:48:19.732990')>
>>> pc.cast(s, pa.timestamp('ns', 'Europe/Paris'))
<pyarrow.TimestampScalar: Timestamp('2021-11-23 20:48:19.732990+0100',
tz='Europe/Paris')>
>>> pc.cast(s, pa.timestamp('ns', 'UTC'))
<pyarrow.TimestampScalar: Timestamp('2021-11-23 19:48:19.732990+0000',
tz='UTC')>
{code}
> [C++] Refactor temporal casts to work with Scalar inputs
> --------------------------------------------------------
>
> Key: ARROW-6974
> URL: https://issues.apache.org/jira/browse/ARROW-6974
> Project: Apache Arrow
> Issue Type: Improvement
> Components: C++
> Reporter: Joris Van den Bossche
> Priority: Minor
>
> Currently, the casting for time-like data is done with the {{ShiftTime}}
> function. It _might_ be possible to simplify this with ArrayDataVisitor (to
> avoid looping / checking the bitmap).
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