TYP: Misc groupby typing (#37066)

Author: rhshadrach

pandas/core/generic.py

@@ -5417,7 +5417,7 @@ def __setattr__(self, name: str, value) -> None:
                     )
                 object.__setattr__(self, name, value)
 
-    def _dir_additions(self):
+    def _dir_additions(self) -> Set[str]:
         """
         add the string-like attributes from the info_axis.
         If info_axis is a MultiIndex, it's first level values are used.

pandas/core/groupby/generic.py

@@ -30,7 +30,7 @@
 import numpy as np
 
 from pandas._libs import lib, reduction as libreduction
-from pandas._typing import ArrayLike, FrameOrSeries, FrameOrSeriesUnion
+from pandas._typing import ArrayLike, FrameOrSeries, FrameOrSeriesUnion, Label
 from pandas.util._decorators import Appender, Substitution, doc
 
 from pandas.core.dtypes.cast import (
@@ -1131,7 +1131,7 @@ def _aggregate_frame(self, func, *args, **kwargs) -> DataFrame:
         axis = self.axis
         obj = self._obj_with_exclusions
 
-        result: Dict[Union[int, str], Union[NDFrame, np.ndarray]] = {}
+        result: Dict[Label, Union[NDFrame, np.ndarray]] = {}
         if axis != obj._info_axis_number:
             for name, data in self:
                 fres = func(data, *args, **kwargs)

pandas/core/groupby/groupby.py

@@ -20,6 +20,7 @@ class providing the base-class of operations.
     Generic,
     Hashable,
     Iterable,
+    Iterator,
     List,
     Mapping,
     Optional,
@@ -465,7 +466,7 @@ def f(self):
 
 
 @contextmanager
-def group_selection_context(groupby: "BaseGroupBy"):
+def group_selection_context(groupby: "BaseGroupBy") -> Iterator["BaseGroupBy"]:
     """
     Set / reset the group_selection_context.
     """
@@ -486,7 +487,7 @@ def group_selection_context(groupby: "BaseGroupBy"):
 
 
 class BaseGroupBy(PandasObject, SelectionMixin, Generic[FrameOrSeries]):
-    _group_selection = None
+    _group_selection: Optional[IndexLabel] = None
     _apply_allowlist: FrozenSet[str] = frozenset()
 
     def __init__(
@@ -570,7 +571,7 @@ def groups(self) -> Dict[Hashable, np.ndarray]:
         return self.grouper.groups
 
     @property
-    def ngroups(self):
+    def ngroups(self) -> int:
         self._assure_grouper()
         return self.grouper.ngroups
 
@@ -649,7 +650,7 @@ def _selected_obj(self):
         else:
             return self.obj[self._selection]
 
-    def _reset_group_selection(self):
+    def _reset_group_selection(self) -> None:
         """
         Clear group based selection.
 
@@ -661,7 +662,7 @@ def _reset_group_selection(self):
             self._group_selection = None
             self._reset_cache("_selected_obj")
 
-    def _set_group_selection(self):
+    def _set_group_selection(self) -> None:
         """
         Create group based selection.
 
@@ -686,7 +687,9 @@ def _set_group_selection(self):
             self._group_selection = ax.difference(Index(groupers), sort=False).tolist()
             self._reset_cache("_selected_obj")
 
-    def _set_result_index_ordered(self, result):
+    def _set_result_index_ordered(
+        self, result: "OutputFrameOrSeries"
+    ) -> "OutputFrameOrSeries":
         # set the result index on the passed values object and
         # return the new object, xref 8046
 
@@ -700,7 +703,7 @@ def _set_result_index_ordered(self, result):
         result.set_axis(self.obj._get_axis(self.axis), axis=self.axis, inplace=True)
         return result
 
-    def _dir_additions(self):
+    def _dir_additions(self) -> Set[str]:
         return self.obj._dir_additions() | self._apply_allowlist
 
     def __getattr__(self, attr: str):
@@ -818,7 +821,7 @@ def get_group(self, name, obj=None):
 
         return obj._take_with_is_copy(inds, axis=self.axis)
 
-    def __iter__(self):
+    def __iter__(self) -> Iterator[Tuple[Label, FrameOrSeries]]:
         """
         Groupby iterator.
 

pandas/core/groupby/ops.py

@@ -7,7 +7,17 @@
 """
 
 import collections
-from typing import Dict, Generic, Hashable, List, Optional, Sequence, Tuple, Type
+from typing import (
+    Dict,
+    Generic,
+    Hashable,
+    Iterator,
+    List,
+    Optional,
+    Sequence,
+    Tuple,
+    Type,
+)
 
 import numpy as np
 
@@ -116,7 +126,9 @@ def __iter__(self):
     def nkeys(self) -> int:
         return len(self.groupings)
 
-    def get_iterator(self, data: FrameOrSeries, axis: int = 0):
+    def get_iterator(
+        self, data: FrameOrSeries, axis: int = 0
+    ) -> Iterator[Tuple[Label, FrameOrSeries]]:
         """
         Groupby iterator