Updated condition

Author: arthurlw

pandas/core/arrays/arrow/array.py

@@ -1483,14 +1483,8 @@ def to_numpy(
     def map(self, mapper, na_action: Literal["ignore"] | None = None):
         if is_numeric_dtype(self.dtype):
             return map_array(self.to_numpy(), mapper, na_action=na_action)
-        if self.dtype.name.startswith("timestamp"):
-            try:
-                # Convert elements to pandas.Timestamp (or datetime64[ns])
-                self = self.astype("datetime64[ns]")
-            except Exception:
-                # fallback: safe, slow path
-                self = np.array([Timestamp(x.as_py()) for x in self])
-            return map_array(self, mapper, na_action=na_action)
+        elif self.dtype == "timestamp[ns][pyarrow]":
+            return map_array(self.to_numpy(dtype=object), mapper, na_action=na_action)
         else:
             return super().map(mapper, na_action)