DOC: Reapply code example fix from 41a2e47

Author: LJArendse

doc/source/groupby.rst

@@ -66,12 +66,24 @@ pandas objects can be split on any of their axes. The abstract definition of
 grouping is to provide a mapping of labels to group names. To create a GroupBy
 object (more on what the GroupBy object is later), you may do the following:
 
-.. code-block:: python
+.. ipython:: python
+
+   df = pd.DataFrame(
+    [('bird', 'Falconiformes', 389.0),
+     ('bird', 'Psittaciformes', 24.0),
+     ('mammal', 'Carnivora', 80.2),
+     ('mammal', 'Primates', np.nan),
+     ('mammal', 'Carnivora', 58)],
+    index=['falcon', 'parrot', 'lion', 'monkey', 'leopard'],
+    columns=('class', 'order', 'max_speed')
+    )
+
+    df
 
-   # default is axis=0
-   >>> grouped = obj.groupby(key)
-   >>> grouped = obj.groupby(key, axis=1)
-   >>> grouped = obj.groupby([key1, key2])
+    # default is axis=0
+    grouped = df.groupby('class')
+    grouped = df.groupby('order', axis='columns')
+    grouped = df.groupby(['class', 'order'])
 
 The mapping can be specified many different ways: