ENH: Use version checks from dedicated utils

Author: mtsokol

pandas/core/common.py

@@ -33,6 +33,7 @@
 
 from pandas._libs import lib
 
+from pandas.compat.numpy import np_version_gte1p24
 from pandas.core.dtypes.cast import construct_1d_object_array_from_listlike
 from pandas.core.dtypes.common import (
     is_bool_dtype,
@@ -45,8 +46,6 @@
 )
 from pandas.core.dtypes.inference import iterable_not_string
 
-from pandas.util.version import Version
-
 if TYPE_CHECKING:
     from pandas._typing import (
         AnyArrayLike,
@@ -238,7 +237,7 @@ def asarray_tuplesafe(values: Iterable, dtype: NpDtype | None = None) -> ArrayLi
     try:
         with warnings.catch_warnings():
             # Can remove warning filter once NumPy 1.24 is min version
-            if Version(np.__version__) < Version("1.24.0"):
+            if not np_version_gte1p24:
                 warnings.simplefilter("ignore", np.VisibleDeprecationWarning)
             result = np.asarray(values, dtype=dtype)
     except ValueError:

pandas/tests/indexes/test_common.py

@@ -13,6 +13,7 @@
 import pytest
 
 from pandas.compat import IS64
+from pandas.compat.numpy import np_version_gte1p25
 
 from pandas.core.dtypes.common import (
     is_integer_dtype,
@@ -27,7 +28,6 @@
     RangeIndex,
 )
 import pandas._testing as tm
-from pandas.util.version import Version
 
 
 class TestCommon:
@@ -390,7 +390,7 @@ def test_astype_preserves_name(self, index, dtype):
         warn = None
         if index.dtype.kind == "c" and dtype in ["float64", "int64", "uint64"]:
             # imaginary components discarded
-            if Version(np.__version__) >= Version("1.25.0"):
+            if np_version_gte1p25:
                 warn = np.exceptions.ComplexWarning
             else:
                 warn = np.ComplexWarning