PERF: Avoid a numpy array copy in ArrowExtensionArray._to_datetimearr…

…ay (#60778)
pandas-dev · Jan 24, 2025 · c168883 · c168883
1 parent 0c4ca3a
commit c168883
Showing 1 changed file with 2 additions and 2 deletions.
diff --git a/pandas/core/arrays/arrow/array.py b/pandas/core/arrays/arrow/array.py
@@ -1398,7 +1398,7 @@ def _to_datetimearray(self) -> DatetimeArray:
         np_dtype = np.dtype(f"M8[{pa_type.unit}]")
         dtype = tz_to_dtype(pa_type.tz, pa_type.unit)
         np_array = self._pa_array.to_numpy()
-        np_array = np_array.astype(np_dtype)
+        np_array = np_array.astype(np_dtype, copy=False)
         return DatetimeArray._simple_new(np_array, dtype=dtype)
 
     def _to_timedeltaarray(self) -> TimedeltaArray:
@@ -1409,7 +1409,7 @@ def _to_timedeltaarray(self) -> TimedeltaArray:
         assert pa.types.is_duration(pa_type)
         np_dtype = np.dtype(f"m8[{pa_type.unit}]")
         np_array = self._pa_array.to_numpy()
-        np_array = np_array.astype(np_dtype)
+        np_array = np_array.astype(np_dtype, copy=False)
         return TimedeltaArray._simple_new(np_array, dtype=np_dtype)
 
     def _values_for_json(self) -> np.ndarray: