[ https://issues.apache.org/jira/browse/ARROW-1906?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Wes McKinney reassigned ARROW-1906: ----------------------------------- Assignee: Wes McKinney > [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 > 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} -- This message was sent by Atlassian JIRA (v6.4.14#64029)