CLN: remove _AXIS_REVERSED

pandas/core/frame.py

@@ -1686,9 +1686,7 @@ def to_numpy(
         self._consolidate_inplace()
         if dtype is not None:
             dtype = np.dtype(dtype)
-        result = self._mgr.as_array(
-            transpose=self._AXIS_REVERSED, dtype=dtype, copy=copy, na_value=na_value
-        )
+        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)
 
@@ -10715,7 +10713,6 @@ def isin(self, values) -> DataFrame:
         1: 1,
         "columns": 1,
     }
-    _AXIS_REVERSED = True
     _AXIS_LEN = len(_AXIS_ORDERS)
     _info_axis_number = 1
     _info_axis_name = "columns"
@@ -10840,7 +10837,7 @@ def values(self) -> np.ndarray:
                ['monkey', nan, None]], dtype=object)
         """
         self._consolidate_inplace()
-        return self._mgr.as_array(transpose=True)
+        return self._mgr.as_array()
 
     @deprecate_nonkeyword_arguments(version=None, allowed_args=["self"])
     def ffill(

pandas/core/generic.py

@@ -479,7 +479,6 @@ def _data(self):
     _stat_axis_name = "index"
     _AXIS_ORDERS: list[str]
     _AXIS_TO_AXIS_NUMBER: dict[Axis, int] = {0: 0, "index": 0, "rows": 0}
-    _AXIS_REVERSED: bool_t
     _info_axis_number: int
     _info_axis_name: str
     _AXIS_LEN: int
@@ -566,9 +565,10 @@ def _get_axis(self, axis: Axis) -> Index:
     def _get_block_manager_axis(cls, axis: Axis) -> int:
         """Map the axis to the block_manager axis."""
         axis = cls._get_axis_number(axis)
-        if cls._AXIS_REVERSED:
-            m = cls._AXIS_LEN - 1
-            return m - axis
+        ndim = cls._AXIS_LEN
+        if ndim == 2:
+            # i.e. DataFrame
+            return 1 - axis
         return axis
 
     @final

pandas/core/internals/array_manager.py

@@ -1082,7 +1082,6 @@ def unstack(self, unstacker, fill_value) -> ArrayManager:
 
     def as_array(
         self,
-        transpose: bool = False,
         dtype=None,
         copy: bool = False,
         na_value=lib.no_default,
@@ -1092,8 +1091,6 @@ def as_array(
 
         Parameters
         ----------
-        transpose : bool, default False
-            If True, transpose the return array.
         dtype : object, default None
             Data type of the return array.
         copy : bool, default False
@@ -1109,7 +1106,7 @@ def as_array(
         """
         if len(self.arrays) == 0:
             empty_arr = np.empty(self.shape, dtype=float)
-            return empty_arr.transpose() if transpose else empty_arr
+            return empty_arr.transpose()
 
         # We want to copy when na_value is provided to avoid
         # mutating the original object
@@ -1137,8 +1134,6 @@ def as_array(
             result[isna(result)] = na_value
 
         return result
-        # FIXME: don't leave commented-out
-        # return arr.transpose() if transpose else arr
 
 
 class SingleArrayManager(BaseArrayManager, SingleDataManager):

pandas/core/internals/managers.py

@@ -1465,7 +1465,6 @@ def to_dict(self, copy: bool = True):
 
     def as_array(
         self,
-        transpose: bool = False,
         dtype: np.dtype | None = None,
         copy: bool = False,
         na_value=lib.no_default,
@@ -1475,8 +1474,6 @@ def as_array(
 
         Parameters
         ----------
-        transpose : bool, default False
-            If True, transpose the return array.
         dtype : np.dtype or None, default None
             Data type of the return array.
         copy : bool, default False
@@ -1492,7 +1489,7 @@ def as_array(
         """
         if len(self.blocks) == 0:
             arr = np.empty(self.shape, dtype=float)
-            return arr.transpose() if transpose else arr
+            return arr.transpose()
 
         # We want to copy when na_value is provided to avoid
         # mutating the original object
@@ -1524,7 +1521,7 @@ def as_array(
         if na_value is not lib.no_default:
             arr[isna(arr)] = na_value
 
-        return arr.transpose() if transpose else arr
+        return arr.transpose()
 
     def _interleave(
         self,

pandas/core/series.py

@@ -5498,7 +5498,6 @@ def mask(
     # ----------------------------------------------------------------------
     # Add index
     _AXIS_ORDERS = ["index"]
-    _AXIS_REVERSED = False
     _AXIS_LEN = len(_AXIS_ORDERS)
     _info_axis_number = 0
     _info_axis_name = "index"

pandas/tests/internals/test_internals.py

@@ -851,7 +851,7 @@ def test_validate_bool_args(self, value):
 def _as_array(mgr):
     if mgr.ndim == 1:
         return mgr.external_values()
-    return mgr.as_array()
+    return mgr.as_array().T
 
 
 class TestIndexing: