ENH: Update numpy exceptions imports

Author: mtsokol

pandas/core/common.py

@@ -45,6 +45,8 @@
 )
 from pandas.core.dtypes.inference import iterable_not_string
 
+from pandas.util.version import Version
+
 if TYPE_CHECKING:
     from pandas._typing import (
         AnyArrayLike,
@@ -236,7 +238,8 @@ 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
-            warnings.simplefilter("ignore", np.VisibleDeprecationWarning)
+            if Version(np.__version__) < Version("1.24.0"):
+                warnings.simplefilter("ignore", np.VisibleDeprecationWarning)
             result = np.asarray(values, dtype=dtype)
     except ValueError:
         # Using try/except since it's more performant than checking is_list_like

pandas/tests/indexes/test_common.py

@@ -27,6 +27,7 @@
     RangeIndex,
 )
 import pandas._testing as tm
+from pandas.util.version import Version
 
 
 class TestCommon:
@@ -389,7 +390,10 @@ def test_astype_preserves_name(self, index, dtype):
         warn = None
         if index.dtype.kind == "c" and dtype in ["float64", "int64", "uint64"]:
             # imaginary components discarded
-            warn = np.ComplexWarning
+            if Version(np.__version__) >= Version("1.25.0"):
+                warn = np.exceptions.ComplexWarning
+            else:
+                warn = np.ComplexWarning
 
         is_pyarrow_str = str(index.dtype) == "string[pyarrow]" and dtype == "category"
         try: