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ARROW-1906: [Python] Do not override user-supplied type in pyarrow.array when converting DatetimeTZ pandas data #1411

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ARROW-1906: [Python] Do not override user-supplied type in pyarrow.array when converting DatetimeTZ pandas data #1411

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3 changes: 2 additions & 1 deletion python/pyarrow/pandas_compat.py
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Original file line number Diff line number Diff line change
Expand Up @@ -369,7 +369,8 @@ def get_datetimetz_type(values, dtype, type_):
if values.dtype.type != np.datetime64:
return values, type_

if isinstance(dtype, DatetimeTZDtype):
if isinstance(dtype, DatetimeTZDtype) and type_ is None:
# If no user type passed, construct a tz-aware timestamp type
tz = dtype.tz
unit = dtype.unit
type_ = pa.timestamp(unit, tz)
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4 changes: 4 additions & 0 deletions python/pyarrow/tests/test_array.py
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Expand Up @@ -331,8 +331,12 @@ def test_cast_timestamp_unit():
s_nyc = s.dt.tz_localize('tzlocal()').dt.tz_convert('America/New_York')

us_with_tz = pa.timestamp('us', tz='America/New_York')

arr = pa.Array.from_pandas(s_nyc, type=us_with_tz)

# ARROW-1906
assert arr.type == us_with_tz

arr2 = pa.Array.from_pandas(s, type=pa.timestamp('us'))

assert arr[0].as_py() == s_nyc[0]
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