un-xfail

Author: jbrockmendel

pandas/tests/groupby/test_groupby_dropna.py

@@ -387,9 +387,6 @@ def test_groupby_dropna_with_multiindex_input(input_index, keys, series):
     tm.assert_equal(result, expected)
 
 
-@pytest.mark.xfail(
-    using_string_dtype() and not HAS_PYARROW, reason="TODO(infer_string)"
-)
 def test_groupby_nan_included():
     # GH 35646
     data = {"group": ["g1", np.nan, "g1", "g2", np.nan], "B": [0, 1, 2, 3, 4]}

pandas/tests/window/test_rolling.py

@@ -6,10 +6,7 @@
 import numpy as np
 import pytest
 
-from pandas._config import using_string_dtype
-
 from pandas.compat import (
-    HAS_PYARROW,
     IS64,
     is_platform_arm,
     is_platform_power,
@@ -1329,9 +1326,6 @@ def test_rolling_corr_timedelta_index(index, window):
     tm.assert_almost_equal(result, expected)
 
 
-@pytest.mark.xfail(
-    using_string_dtype() and not HAS_PYARROW, reason="TODO(infer_string)"
-)
 def test_groupby_rolling_nan_included():
     # GH 35542
     data = {"group": ["g1", np.nan, "g1", "g2", np.nan], "B": [0, 1, 2, 3, 4]}