revert changes to pandas/core/arrays/numpy_.py

Author: simonjayhawkins

pandas/core/arrays/numpy_.py

@@ -192,7 +192,6 @@ def _from_factorized(cls, values, original) -> "PandasArray":
 
     @classmethod
     def _concat_same_type(cls, to_concat) -> "PandasArray":
-        to_concat = [arr.to_numpy() for arr in to_concat]
         return cls(np.concatenate(to_concat))
 
     def _from_backing_data(self, arr: np.ndarray) -> "PandasArray":
@@ -348,17 +347,13 @@ def min(self, skipna: bool = True, **kwargs) -> Scalar:
         )
         return result
 
-    amin = min
-
     def max(self, skipna: bool = True, **kwargs) -> Scalar:
         nv.validate_max((), kwargs)
         result = masked_reductions.max(
             values=self.to_numpy(), mask=self.isna(), skipna=skipna
         )
         return result
 
-    amax = max
-
     def sum(self, axis=None, skipna=True, min_count=0, **kwargs) -> Scalar:
         nv.validate_sum((), kwargs)
         return nanops.nansum(