diff --git a/pandas/core/groupby/groupby.py b/pandas/core/groupby/groupby.py
index d8135dbf3f08d..e11c296783476 100644
--- a/pandas/core/groupby/groupby.py
+++ b/pandas/core/groupby/groupby.py
@@ -153,11 +153,23 @@ class providing the base-class of operations.
     transform : Apply function column-by-column to the GroupBy object.
     Series.apply : Apply a function to a Series.
     DataFrame.apply : Apply a function to each row or column of a DataFrame.
+
+    Notes
+    -----
+    In the current implementation `apply` calls `func` twice on the
+    first group to decide whether it can take a fast or slow code
+    path. This can lead to unexpected behavior if `func` has
+    side-effects, as they will take effect twice for the first
+    group.
+
+    Examples
+    --------
+    {examples}
     """,
     "dataframe_examples": """
     >>> df = pd.DataFrame({'A': 'a a b'.split(),
-                           'B': [1,2,3],
-                           'C': [4,6, 5]})
+    ...                    'B': [1,2,3],
+    ...                    'C': [4,6, 5]})
     >>> g = df.groupby('A')
 
     Notice that ``g`` has two groups, ``a`` and ``b``.
@@ -192,8 +204,7 @@ class providing the base-class of operations.
     A
     a    5
     b    2
-    dtype: int64
-    """,
+    dtype: int64""",
     "series_examples": """
     >>> s = pd.Series([0, 1, 2], index='a a b'.split())
     >>> g = s.groupby(s.index)
@@ -206,9 +217,9 @@ class providing the base-class of operations.
     each group together into a new Series:
 
     >>> g.apply(lambda x:  x*2 if x.name == 'b' else x/2)
-    0    0.0
-    1    0.5
-    2    4.0
+    a    0.0
+    a    0.5
+    b    4.0
     dtype: float64
 
     Example 2: The function passed to `apply` takes a Series as
@@ -219,20 +230,7 @@ class providing the base-class of operations.
     >>> g.apply(lambda x: x.max() - x.min())
     a    1
     b    0
-    dtype: int64
-
-    Notes
-    -----
-    In the current implementation `apply` calls `func` twice on the
-    first group to decide whether it can take a fast or slow code
-    path. This can lead to unexpected behavior if `func` has
-    side-effects, as they will take effect twice for the first
-    group.
-
-    Examples
-    --------
-    {examples}
-    """,
+    dtype: int64""",
 }
 
 _groupby_agg_method_template = """