DOC: Fixed flake8 issue

Author: nagesh-kumar-abinbev

pandas/core/groupby/groupby.py

@@ -80,7 +80,8 @@ class providing the base-class of operations.
         See Also
         --------
         Series.%(name)s : Apply a function %(name)s to a Series.
-        DataFrame.%(name)s : Apply a function %(name)s to each row or column of a DataFrame.
+        DataFrame.%(name)s : Apply a function %(name)s
+         to each row or column of a DataFrame.
 """
 
 _apply_docs = dict(

pandas/core/resample.py

@@ -131,7 +131,7 @@ def __iter__(self):
 
         See Also
         --------
-        GroupBy.__iter__ : Generator yielding sequence of (name, subset object) for each group
+        GroupBy.__iter__ : Generator yielding sequence for each group.
         """
         self._set_binner()
         return super().__iter__()
@@ -235,9 +235,12 @@ def pipe(self, func, *args, **kwargs):
         """
     See Also
     --------
-    DataFrame.groupby.aggregate : Aggregate using callable, string, dict, or list of string/callables
-    DataFrame.resample.transform : Transforms the Series on each group based on the given function.
-    DataFrame.aggregate: Aggregate using one or more operations over the specified axis.
+    DataFrame.groupby.aggregate : Aggregate using callable, string, dict,
+            or list of string/callables.
+    DataFrame.resample.transform : Transforms the Series on each group
+            based on the given function.
+    DataFrame.aggregate: Aggregate using one or more
+            operations over the specified axis.
     """
     )
 
@@ -915,11 +918,13 @@ def quantile(self, q=0.5, **kwargs):
         See Also
         --------
         Series.quantile
-            Return a series, where the index is q and the values are the quantiles
+            Return a series, where the index is q and the values are the quantiles.
         DataFrame.quantile
-            Return a DataFrame, where the columns are the columns of self, and the values are the quantiles.
+            Return a DataFrame, where the columns are the columns of self,
+            and the values are the quantiles.
         DataFrameGroupBy.quantile
-            Return a DataFrame, where the coulmns are groupby columns, and the values are its quantiles.
+            Return a DataFrame, where the coulmns are groupby columns,
+            and the values are its quantiles.
         """
         return self._downsample("quantile", q=q, **kwargs)