rename grp_generic to groupby_generic

Author: topper-123

pandas/core/frame.py

@@ -92,14 +92,13 @@
 )
 from pandas.core.dtypes.missing import isna, notna
 
-from pandas._typing import Axes, Dtype, FilePathOrBuffer
 from pandas.core import algorithms, common as com, nanops, ops
 from pandas.core.accessor import CachedAccessor
 from pandas.core.arrays import Categorical, ExtensionArray
 from pandas.core.arrays.datetimelike import DatetimeLikeArrayMixin as DatetimeLikeArray
 from pandas.core.arrays.sparse import SparseFrameAccessor
 from pandas.core.generic import NDFrame, _shared_docs
-from pandas.core.groupby import generic as grp_generic
+from pandas.core.groupby import generic as groupby_generic
 from pandas.core.indexes import base as ibase
 from pandas.core.indexes.api import Index, ensure_index, ensure_index_from_sequences
 from pandas.core.indexes.datetimes import DatetimeIndex
@@ -5584,13 +5583,13 @@ def groupby(
         group_keys: bool = True,
         squeeze: bool = False,
         observed: bool = False,
-    ) -> "grp_generic.DataFrameGroupBy":
+    ) -> "groupby_generic.DataFrameGroupBy":
 
         if level is None and by is None:
             raise TypeError("You have to supply one of 'by' and 'level'")
         axis = self._get_axis_number(axis)
 
-        return grp_generic.DataFrameGroupBy(
+        return groupby_generic.DataFrameGroupBy(
             obj=self,
             keys=by,
             axis=axis,

pandas/core/reshape/merge.py

@@ -41,7 +41,6 @@
 from pandas.core.dtypes.missing import isna, na_value_for_dtype
 
 from pandas import Categorical, Index, MultiIndex
-from pandas._typing import FrameOrSeries
 from pandas.core import groupby
 import pandas.core.algorithms as algos
 from pandas.core.arrays.categorical import _recode_for_categories

pandas/core/series.py

@@ -59,7 +59,7 @@
     is_empty_data,
     sanitize_array,
 )
-from pandas.core.groupby import generic as grp_generic
+from pandas.core.groupby import generic as groupby_generic
 from pandas.core.indexers import maybe_convert_indices
 from pandas.core.indexes.accessors import CombinedDatetimelikeProperties
 from pandas.core.indexes.api import (
@@ -1631,13 +1631,13 @@ def groupby(
         group_keys: bool = True,
         squeeze: bool = False,
         observed: bool = False,
-    ) -> "grp_generic.SeriesGroupBy":
+    ) -> "groupby_generic.SeriesGroupBy":
 
         if level is None and by is None:
             raise TypeError("You have to supply one of 'by' and 'level'")
         axis = self._get_axis_number(axis)
 
-        return grp_generic.SeriesGroupBy(
+        return groupby_generic.SeriesGroupBy(
             obj=self,
             keys=by,
             axis=axis,