raise warning on JSON __array__

Author: KevsterAmp

pandas/tests/extension/json/array.py

@@ -25,9 +25,12 @@
     TYPE_CHECKING,
     Any,
 )
+import warnings
 
 import numpy as np
 
+from pandas.util._exceptions import find_stack_level
+
 from pandas.core.dtypes.cast import construct_1d_object_array_from_listlike
 from pandas.core.dtypes.common import (
     is_bool_dtype,
@@ -148,8 +151,14 @@ def __ne__(self, other):
 
     def __array__(self, dtype=None, copy=None):
         if copy is False:
-            raise ValueError(
-                "Unable to avoid copy while creating an array as requested."
+            warnings.warn(
+                "Starting on NumPy 2.0, the behavior of the 'copy' keyword has changed "
+                "and passing 'copy=False' raises an error when a zero-copy NumPy array "
+                "is not possible, Pandas will follow this behavior starting with "
+                "version 3.0. This conversion to NumPy requires a copy, but "
+                "'copy=False' was passed. Consider using 'np.asarray(..)' instead.",
+                FutureWarning,
+                stacklevel=find_stack_level(),
             )
 
         if dtype is None: