MAINT: Adjust the codebase to the new np.array copy keyword meaning

Author: mtsokol

pandas/core/frame.py

@@ -1978,7 +1978,7 @@ def to_numpy(
             dtype = np.dtype(dtype)
         result = self._mgr.as_array(dtype=dtype, copy=copy, na_value=na_value)
         if result.dtype is not dtype:
-            result = np.array(result, dtype=dtype, copy=False)
+            result = np.asarray(result, dtype=dtype)
 
         return result
 

pandas/tests/arrays/test_datetimelike.py

@@ -956,7 +956,7 @@ def test_array_interface(self, timedelta_index):
         expected = arr._ndarray
         assert result is expected
         tm.assert_numpy_array_equal(result, expected)
-        result = np.array(arr, copy=False)
+        result = np.array(arr, copy=np._CopyMode.IF_NEEDED)
         assert result is expected
         tm.assert_numpy_array_equal(result, expected)
 
@@ -965,7 +965,7 @@ def test_array_interface(self, timedelta_index):
         expected = arr._ndarray
         assert result is expected
         tm.assert_numpy_array_equal(result, expected)
-        result = np.array(arr, dtype="timedelta64[ns]", copy=False)
+        result = np.array(arr, dtype="timedelta64[ns]", copy=np._CopyMode.IF_NEEDED)
         assert result is expected
         tm.assert_numpy_array_equal(result, expected)
         result = np.array(arr, dtype="timedelta64[ns]")

pandas/tests/extension/array_with_attr/array.py

@@ -49,6 +49,7 @@ def __init__(self, values, attr=None) -> None:
 
     @classmethod
     def _from_sequence(cls, scalars, *, dtype=None, copy=False):
+        copy = np._CopyMode.ALWAYS if copy else np._CopyMode.IF_NEEDED
         data = np.array(scalars, dtype="float64", copy=copy)
         return cls(data)