type-hint

Author: rhshadrach

pandas/core/reshape/encoding.py

@@ -37,7 +37,10 @@
 from pandas.core.series import Series
 
 if TYPE_CHECKING:
-    from pandas._typing import NpDtype
+    from pandas._typing import (
+        DtypeObj,
+        NpDtype,
+    )
 
 
 def get_dummies(
@@ -556,7 +559,7 @@ def from_dummies(
                 "Dummy DataFrame contains multi-assignment(s); "
                 f"First instance in row: {assigned.idxmax()}"
             )
-        dtype = data.columns.dtype
+        dtype: str | DtypeObj = data.columns.dtype
         if any(assigned == 0):
             if isinstance(default_category, dict):
                 value = default_category[prefix]

pandas/tests/io/pytables/test_complex.py

@@ -1,8 +1,6 @@
 import numpy as np
 import pytest
 
-from pandas._config import using_string_dtype
-
 import pandas as pd
 from pandas import (
     DataFrame,
@@ -13,9 +11,9 @@
 
 from pandas.io.pytables import read_hdf
 
-pytestmark = pytest.mark.xfail(
-    using_string_dtype(), reason="TODO(infer_string)", strict=False
-)
+# pytestmark = pytest.mark.xfail(
+#     using_string_dtype(), reason="TODO(infer_string)", strict=False
+# )
 
 
 def test_complex_fixed(tmp_path, setup_path):

pandas/tests/io/pytables/test_file_handling.py

@@ -3,8 +3,6 @@
 import numpy as np
 import pytest
 
-from pandas._config import using_string_dtype
-
 from pandas.compat import (
     PY311,
     is_ci_environment,
@@ -329,7 +327,7 @@ def test_complibs(tmp_path, lvl, lib, request):
                 assert node.filters.complib == lib
 
 
-@pytest.mark.xfail(using_string_dtype(), reason="TODO(infer_string)", strict=False)
+# @pytest.mark.xfail(using_string_dtype(), reason="TODO(infer_string)", strict=False)
 @pytest.mark.skipif(
     not is_platform_little_endian(), reason="reason platform is not little endian"
 )
@@ -347,7 +345,7 @@ def test_encoding(setup_path):
         tm.assert_frame_equal(result, expected)
 
 
-@pytest.mark.xfail(using_string_dtype(), reason="TODO(infer_string)", strict=False)
+# @pytest.mark.xfail(using_string_dtype(), reason="TODO(infer_string)", strict=False)
 @pytest.mark.parametrize(
     "val",
     [

pandas/tests/io/pytables/test_timezones.py

@@ -6,8 +6,6 @@
 import numpy as np
 import pytest
 
-from pandas._config import using_string_dtype
-
 from pandas._libs.tslibs.timezones import maybe_get_tz
 import pandas.util._test_decorators as td
 
@@ -25,9 +23,9 @@
     ensure_clean_store,
 )
 
-pytestmark = pytest.mark.xfail(
-    using_string_dtype(), reason="TODO(infer_string)", strict=False
-)
+# pytestmark = pytest.mark.xfail(
+#     using_string_dtype(), reason="TODO(infer_string)", strict=False
+# )
 
 
 def _compare_with_tz(a, b):