Add __array_interface__ to cudf.pandas numpy.ndarray proxy (#15936)

closes #15926

Authors:
  - Matthew Roeschke (https://github.com/mroeschke)

Approvers:
  - Matthew Murray (https://github.com/Matt711)

URL: #15936

python/cudf/cudf/pandas/_wrappers/common.py

@@ -46,5 +46,10 @@ def cuda_array_interface(self: _FastSlowProxy):
     return self._fsproxy_fast.__cuda_array_interface__
 
 
+@property  # type: ignore
+def array_interface(self: _FastSlowProxy):
+    return self._fsproxy_slow.__array_interface__
+
+
 def custom_iter(self: _FastSlowProxy):
     return iter(self._fsproxy_slow)

python/cudf/cudf/pandas/_wrappers/numpy.py

@@ -15,6 +15,7 @@
     make_intermediate_proxy_type,
 )
 from .common import (
+    array_interface,
     array_method,
     arrow_array_method,
     cuda_array_interface,
@@ -115,6 +116,7 @@ def wrap_ndarray(cls, arr: cupy.ndarray | numpy.ndarray, constructor):
         # So that pa.array(wrapped-numpy-array) works
         "__arrow_array__": arrow_array_method,
         "__cuda_array_interface__": cuda_array_interface,
+        "__array_interface__": array_interface,
         # ndarrays are unhashable
         "__hash__": None,
         # iter(cupy-array) produces an iterable of zero-dim device