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BUG: resolution in datetimelike add/sub timedeltalike scalar #49015

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Merged
merged 1 commit into from
Oct 10, 2022
Merged

BUG: resolution in datetimelike add/sub timedeltalike scalar #49015

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3 changes: 2 additions & 1 deletion pandas/core/arrays/datetimelike.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1275,7 +1275,8 @@ def _add_timedeltalike_scalar(self, other):

# PeriodArray overrides, so we only get here with DTA/TDA
self = cast("DatetimeArray | TimedeltaArray", self)
other = Timedelta(other)._as_unit(self._unit)
other = Timedelta(other)
self, other = self._ensure_matching_resos(other)
return self._add_timedeltalike(other)

def _add_timedelta_arraylike(self, other: TimedeltaArray):
Expand Down
11 changes: 8 additions & 3 deletions pandas/tests/tseries/offsets/test_offsets.py
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Expand Up @@ -19,6 +19,7 @@

from pandas._libs.tslibs import (
NaT,
Timedelta,
Timestamp,
conversion,
timezones,
Expand Down Expand Up @@ -566,6 +567,12 @@ def test_add_dt64_ndarray_non_nano(self, offset_types, unit, request):
expected = dti._data + off
result = dta + off

exp_unit = unit
if isinstance(off, Tick) and off._reso > dta._reso:
# cast to higher reso like we would with Timedelta scalar
exp_unit = Timedelta(off)._unit
expected = expected._as_unit(exp_unit)

if len(w):
# PerformanceWarning was issued bc _apply_array raised, so we
# fell back to object dtype, for which the code path does
Expand All @@ -576,9 +583,7 @@ def test_add_dt64_ndarray_non_nano(self, offset_types, unit, request):
)
request.node.add_marker(mark)

tm.assert_numpy_array_equal(
result._ndarray, expected._ndarray.astype(arr.dtype)
)
tm.assert_numpy_array_equal(result._ndarray, expected._ndarray)


class TestDateOffset(Base):
Expand Down