update tests

Author: jorisvandenbossche

pandas/tests/arrays/categorical/test_analytics.py

@@ -4,12 +4,7 @@
 import numpy as np
 import pytest
 
-from pandas._config import using_string_dtype
-
-from pandas.compat import (
-    HAS_PYARROW,
-    PYPY,
-)
+from pandas.compat import PYPY
 
 from pandas import (
     Categorical,
@@ -301,9 +296,6 @@ def test_nbytes(self):
         exp = 3 + 3 * 8  # 3 int8s for values + 3 int64s for categories
         assert cat.nbytes == exp
 
-    @pytest.mark.xfail(
-        using_string_dtype() and HAS_PYARROW, reason="TODO(infer_string)"
-    )
     def test_memory_usage(self):
         cat = Categorical([1, 2, 3])
 

pandas/tests/groupby/aggregate/test_cython.py

@@ -164,7 +164,6 @@ def test_cython_agg_return_dict():
     tm.assert_series_equal(ts, expected)
 
 
-@pytest.mark.xfail(using_string_dtype(), reason="TODO(infer_string)")
 def test_cython_fail_agg():
     dr = bdate_range("1/1/2000", periods=50)
     ts = Series(["A", "B", "C", "D", "E"] * 10, index=dr)

pandas/tests/series/methods/test_replace.py

@@ -391,6 +391,7 @@ def test_replace_mixed_types_with_string(self):
         expected = pd.Series([1, np.nan, 3, np.nan, 4, 5])
         tm.assert_series_equal(expected, result)
 
+    @pytest.mark.xfail(using_string_dtype(), reason="TODO(infer_string)")
     @pytest.mark.parametrize(
         "categorical, numeric",
         [