remove no longer necessary xfails

Author: jorisvandenbossche

pandas/tests/arrays/categorical/test_constructors.py

@@ -735,7 +735,6 @@ def test_interval(self):
         tm.assert_numpy_array_equal(cat.codes, expected_codes)
         tm.assert_index_equal(cat.categories, idx)
 
-    @pytest.mark.xfail(using_string_dtype(), reason="TODO(infer_string)")
     def test_categorical_extension_array_nullable(self, nulls_fixture):
         # GH:
         arr = pd.arrays.StringArray._from_sequence(

pandas/tests/copy_view/test_array.py

@@ -1,8 +1,6 @@
 import numpy as np
 import pytest
 
-from pandas._config import using_string_dtype
-
 from pandas import (
     DataFrame,
     Series,
@@ -119,7 +117,6 @@ def test_dataframe_array_ea_dtypes():
     assert arr.flags.writeable is False
 
 
-@pytest.mark.xfail(using_string_dtype(), reason="TODO(infer_string)")
 def test_dataframe_array_string_dtype():
     df = DataFrame({"a": ["a", "b"]}, dtype="string")
     arr = np.asarray(df)

pandas/tests/copy_view/test_astype.py

@@ -84,7 +84,6 @@ def test_astype_numpy_to_ea():
     assert np.shares_memory(get_array(ser), get_array(result))
 
 
-@pytest.mark.xfail(using_string_dtype(), reason="TODO(infer_string)")
 @pytest.mark.parametrize(
     "dtype, new_dtype", [("object", "string"), ("string", "object")]
 )
@@ -98,7 +97,6 @@ def test_astype_string_and_object(dtype, new_dtype):
     tm.assert_frame_equal(df, df_orig)
 
 
-@pytest.mark.xfail(using_string_dtype(), reason="TODO(infer_string)")
 @pytest.mark.parametrize(
     "dtype, new_dtype", [("object", "string"), ("string", "object")]
 )