BUG: Avoid asarray with copy= (it was added in 2.0)

Author: seberg

pandas/core/arrays/numpy_.py

@@ -152,7 +152,7 @@ def __array__(
     ) -> np.ndarray:
         if copy is not None:
             # Note: branch avoids `copy=None` for NumPy 1.x support
-            return np.asarray(self._ndarray, dtype=dtype, copy=copy)
+            return np.array(self._ndarray, dtype=dtype, copy=copy)
         return np.asarray(self._ndarray, dtype=dtype)
 
     def __array_ufunc__(self, ufunc: np.ufunc, method: str, *inputs, **kwargs):

pandas/core/generic.py

@@ -2019,7 +2019,7 @@ def __array__(
             # Note: branch avoids `copy=None` for NumPy 1.x support
             arr = np.asarray(values, dtype=dtype)
         else:
-            arr = np.asarray(values, dtype=dtype, copy=copy)
+            arr = np.array(values, dtype=dtype, copy=copy)
 
         if (
             copy is not False

pandas/core/indexes/base.py

@@ -912,7 +912,7 @@ def __array__(self, dtype=None, copy=None) -> np.ndarray:
             # Note, that the if branch exists for NumPy 1.x support
             return np.asarray(self._data, dtype=dtype)
 
-        return np.asarray(self._data, dtype=dtype, copy=copy)
+        return np.array(self._data, dtype=dtype, copy=copy)
 
     def __array_ufunc__(self, ufunc: np.ufunc, method: str_t, *inputs, **kwargs):
         if any(isinstance(other, (ABCSeries, ABCDataFrame)) for other in inputs):