@@ -196,21 +196,23 @@ class Categorical(PandasObject):
196196
197197    Examples 
198198    -------- 
199-     >>> from pandas import Categorical 
200-     >>> Categorical([1, 2, 3, 1, 2, 3]) 
199+     >>> pd.Categorical([1, 2, 3, 1, 2, 3]) 
201200    [1, 2, 3, 1, 2, 3] 
202-     Categories (3, int64): [1 < 2 <  3] 
201+     Categories (3, int64): [1, 2,  3] 
203202
204-     >>> Categorical(['a', 'b', 'c', 'a', 'b', 'c']) 
203+     >>> pd. Categorical(['a', 'b', 'c', 'a', 'b', 'c']) 
205204    [a, b, c, a, b, c] 
206-     Categories (3, object): [a < b <  c] 
205+     Categories (3, object): [a, b,  c] 
207206
208-     Only ordered  `Categoricals` can be sorted ( according to the order 
209-     of the categories)  and have a min and max value. 
207+     Ordered  `Categoricals` can be sorted according to the custom  order 
208+     of the categories and can  have a min and max value. 
210209
211-     >>> a = Categorical(['a','b','c','a','b','c'], ['c', 'b', 'a'], 
212-                         ordered=True) 
213-     >>> a.min() 
210+     >>> c = pd.Categorical(['a','b','c','a','b','c'], categories=['c', 'b', 'a'], 
211+     ...                    ordered=True) 
212+     >>> c 
213+     [a, b, c, a, b, c] 
214+     Categories (3, object): [c < b < a] 
215+     >>> c.min() 
214216    'c' 
215217
216218    Notes 
@@ -219,11 +221,8 @@ class Categorical(PandasObject):
219221
220222    See also 
221223    -------- 
222-     Categorical.sort 
223-     Categorical.order 
224-     Categorical.min 
225-     Categorical.max 
226224    pandas.api.types.CategoricalDtype 
225+     CategoricalIndex : An Index with an underlying ``Categorical`` 
227226    """ 
228227
229228    # For comparisons, so that numpy uses our implementation if the compare 
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