Bryan Cutler created ARROW-1906:
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Summary: [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
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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