def test_to_perioddelta(self, datetime_index, freqstr):
# GH#23113
dti = datetime_index
arr = DatetimeArray(dti)
expected = dti.to_perioddelta(freq=freqstr)
result = arr.to_perioddelta(freq=freqstr)
assert isinstance(result, TimedeltaArray)
# placeholder until these become actual EA subclasses and we can use
# an EA-specific tm.assert_ function
tm.assert_index_equal(pd.Index(result), pd.Index(expected))
def test_to_perioddelta(self, datetime_index, freqstr):
# GH#23113
dti = datetime_index
arr = DatetimeArray(dti)
expected = dti.to_perioddelta(freq=freqstr)
result = arr.to_perioddelta(freq=freqstr)
assert isinstance(result, TimedeltaArray)
# placeholder until these become actual EA subclasses and we can use
# an EA-specific tm.assert_ function
tm.assert_index_equal(pd.Index(result), pd.Index(expected))
def test_to_perioddelta(self, datetime_index, freqstr):
# GH#23113
dti = datetime_index
arr = DatetimeArray(dti)
with tm.assert_produces_warning(FutureWarning):
# Deprecation GH#34853
expected = dti.to_perioddelta(freq=freqstr)
with tm.assert_produces_warning(FutureWarning, check_stacklevel=False):
# stacklevel is chosen to be "correct" for DatetimeIndex, not
# DatetimeArray
result = arr.to_perioddelta(freq=freqstr)
assert isinstance(result, TimedeltaArray)
# placeholder until these become actual EA subclasses and we can use
# an EA-specific tm.assert_ function
tm.assert_index_equal(pd.Index(result), pd.Index(expected))
