diff --git a/pandas/core/groupby/ops.py b/pandas/core/groupby/ops.py
index dc109f6b30d5c..28e104ec1bc0e 100644
--- a/pandas/core/groupby/ops.py
+++ b/pandas/core/groupby/ops.py
@@ -677,11 +677,6 @@ class BaseGrouper:
         for example for grouper list to groupby, need to pass the list
     sort : bool, default True
         whether this grouper will give sorted result or not
-    group_keys : bool, default True
-    indexer : np.ndarray[np.intp], optional
-        the indexer created by Grouper
-        some groupers (TimeGrouper) will sort its axis and its
-        group_info is also sorted, so need the indexer to reorder
 
     """
 
@@ -692,8 +687,6 @@ def __init__(
         axis: Index,
         groupings: Sequence[grouper.Grouping],
         sort: bool = True,
-        group_keys: bool = True,
-        indexer: npt.NDArray[np.intp] | None = None,
         dropna: bool = True,
     ) -> None:
         assert isinstance(axis, Index), axis
@@ -701,8 +694,6 @@ def __init__(
         self.axis = axis
         self._groupings: list[grouper.Grouping] = list(groupings)
         self._sort = sort
-        self.group_keys = group_keys
-        self.indexer = indexer
         self.dropna = dropna
 
     @property
@@ -886,14 +877,10 @@ def group_info(self) -> tuple[npt.NDArray[np.intp], npt.NDArray[np.intp], int]:
 
         return comp_ids, obs_group_ids, ngroups
 
-    @final
     @cache_readonly
     def codes_info(self) -> npt.NDArray[np.intp]:
         # return the codes of items in original grouped axis
         ids, _, _ = self.group_info
-        if self.indexer is not None:
-            sorter = np.lexsort((ids, self.indexer))
-            ids = ids[sorter]
         return ids
 
     @final
@@ -1047,7 +1034,10 @@ class BinGrouper(BaseGrouper):
     ----------
     bins : the split index of binlabels to group the item of axis
     binlabels : the label list
-    indexer : np.ndarray[np.intp]
+    indexer : np.ndarray[np.intp], optional
+        the indexer created by Grouper
+        some groupers (TimeGrouper) will sort its axis and its
+        group_info is also sorted, so need the indexer to reorder
 
     Examples
     --------
@@ -1101,6 +1091,15 @@ def nkeys(self) -> int:
         # still matches len(self.groupings), but we can hard-code
         return 1
 
+    @cache_readonly
+    def codes_info(self) -> npt.NDArray[np.intp]:
+        # return the codes of items in original grouped axis
+        ids, _, _ = self.group_info
+        if self.indexer is not None:
+            sorter = np.lexsort((ids, self.indexer))
+            ids = ids[sorter]
+        return ids
+
     def get_iterator(self, data: NDFrame, axis: AxisInt = 0):
         """
         Groupby iterator