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https://issues.apache.org/jira/browse/ARROW-1906?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16285410#comment-16285410
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ASF GitHub Bot commented on ARROW-1906:
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wesm opened a new pull request #1411: ARROW-1906: [Python] Do not override
user-supplied type in pyarrow.array when converting DatetimeTZ pandas data
URL: https://github.com/apache/arrow/pull/1411
cc @BryanCutler
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> [Python] Creating a pyarrow.Array with timestamp of different unit is not
> casted
> --------------------------------------------------------------------------------
>
> Key: ARROW-1906
> URL: https://issues.apache.org/jira/browse/ARROW-1906
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
> Reporter: Bryan Cutler
> Assignee: Wes McKinney
> Labels: pull-request-available
> Fix For: 0.8.0
>
>
> This is similar to ARROW-1680 but slightly different in that an error is not
> raised but the unit will still remain unchanged only when using a timezone
> {noformat}
> In [47]: us_with_tz = pa.timestamp('us', tz='America/New_York')
> In [48]: s = pd.Series([val])
> In [49]: s_nyc =
> s.dt.tz_localize('tzlocal()').dt.tz_convert('America/New_York')
> In [50]: arr = pa.Array.from_pandas(s_nyc, type=us_with_tz)
> In [51]: arr.type
> Out[51]: TimestampType(timestamp[ns, tz=America/New_York])
> In [52]: arr2 = pa.Array.from_pandas(s, type=pa.timestamp('us'))
> In [53]: arr2.type
> Out[53]: TimestampType(timestamp[us])
> {noformat}
> There is an easy workaround to apply the cast after creating the
> pyarrow.Array, which seems to work fine
> {noformat}
> In [54]: arr = pa.Array.from_pandas(s_nyc).cast(us_with_tz, safe=False)
> In [55]: arr.type
> Out[55]: TimestampType(timestamp[us, tz=America/New_York])
> {noformat}
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