diff --git a/pandas/core/groupby/groupby.py b/pandas/core/groupby/groupby.py
index 48c00140461b5..b30e5e3569c03 100644
--- a/pandas/core/groupby/groupby.py
+++ b/pandas/core/groupby/groupby.py
@@ -190,14 +190,14 @@ class providing the base-class of operations.
 )
 
 _pipe_template = """
-Apply a function `func` with arguments to this %(klass)s object and return
-the function's result.
+Apply a function `func` with arguments to this %(klass)s object and return the result.
 
 %(versionadded)s
 
+Instead of writing:
 Use `.pipe` when you want to improve readability by chaining together
 functions that expect Series, DataFrames, GroupBy or Resampler objects.
-Instead of writing
+
 
 >>> h(g(f(df.groupby('group')), arg1=a), arg2=b, arg3=c)
 
@@ -212,19 +212,20 @@ class providing the base-class of operations.
 
 Parameters
 ----------
-func : callable or tuple of (callable, string)
-    Function to apply to this %(klass)s object or, alternatively,
+func : callable or tuple of (callable, str)
+    Function to apply to this %(klass)s object or
     a `(callable, data_keyword)` tuple where `data_keyword` is a
     string indicating the keyword of `callable` that expects the
     %(klass)s object.
-args : iterable, optional
-       Positional arguments passed into `func`.
-kwargs : dict, optional
-         A dictionary of keyword arguments passed into `func`.
+*args : iterable, optional
+    Positional arguments passed into `func`.
+**kwargs : dict, optional
+    A dictionary of keyword arguments passed into `func`.
 
 Returns
 -------
-object : the return type of `func`.
+object
+    The return type of `func`.
 
 See Also
 --------