maybe?

Author: TomAugspurger

doc/source/whatsnew/v0.24.0.rst

@@ -1235,7 +1235,6 @@ Datetimelike API Changes
 - :class:`PeriodIndex` subtraction of another ``PeriodIndex`` will now return an object-dtype :class:`Index` of :class:`DateOffset` objects instead of raising a ``TypeError`` (:issue:`20049`)
 - :func:`cut` and :func:`qcut` now returns a :class:`DatetimeIndex` or :class:`TimedeltaIndex` bins when the input is datetime or timedelta dtype respectively and ``retbins=True`` (:issue:`19891`)
 - :meth:`DatetimeIndex.to_period` and :meth:`Timestamp.to_period` will issue a warning when timezone information will be lost (:issue:`21333`)
-- :class:`DatetimeIndex` now accepts :class:`Int64Index` arguments as epoch timestamps (:issue:`20997`)
 - :meth:`PeriodIndex.tz_convert` and :meth:`PeriodIndex.tz_localize` have been removed (:issue:`21781`)
 
 .. _whatsnew_0240.api.other:

pandas/tests/generic/test_frame.py

@@ -183,6 +183,7 @@ def test_set_attribute(self):
                   'StringIndex', 'UnicodeIndex',
                   'DateIndex', 'PeriodIndex',
                   'CategoricalIndex', 'TimedeltaIndex'])
+    @pytest.mark.filterwarnings("ignore")  # TODO: Remove. GH-24716
     def test_to_xarray_index_types(self, index):
         from xarray import Dataset
 
@@ -221,6 +222,7 @@ def test_to_xarray_index_types(self, index):
                            check_index_type=False, check_categorical=False)
 
     @td.skip_if_no('xarray', min_version='0.7.0')
+    @pytest.mark.filterwarnings("ignore")  # TODO: Remove. GH-24716
     def test_to_xarray(self):
         from xarray import Dataset