9th update for issue 3439

Author: ProsperousHeart

pandas/core/reshape/pivot.py

@@ -454,7 +454,7 @@ def crosstab(index, columns, values=None, rownames=None, colnames=None,
     ...               "shiny", "dull", "shiny", "shiny", "shiny"], 
     ...               dtype=object)
 
-    >>> crosstab(a, [b, c], rownames=['a'], colnames=['b', 'c'])
+    >>> pd.crosstab(a, [b, c], rownames=['a'], colnames=['b', 'c'])
     ... # doctest: +NORMALIZE_WHITESPACE
     b   one        two
     c   dull shiny dull shiny

pandas/core/reshape/tile.py

@@ -78,8 +78,9 @@ def cut(x, bins, right=True, labels=None, retbins=False, precision=3,
     ([(0.19, 3.367], (0.19, 3.367], (0.19, 3.367], (3.367, 6.533], (6.533, 9.7], (0.19, 3.367]]
     Categories (3, interval[float64]): [(0.19, 3.367] < (3.367, 6.533] < (6.533, 9.7]], array([ 0.1905    ,  3.36666667,  6.53333333,  9.7       ]))
 
-    >>> result, bins = pd.cut(np.array([.2, 1.4, 2.5, 6.2, 9.7, 2.1]),
+    >>> pd.cut(np.array([.2, 1.4, 2.5, 6.2, 9.7, 2.1]),
     ...                                  3, labels=["good","medium","bad"])
+    ... # doctest: +SKIP
     [good, good, good, medium, bad, good]
     Categories (3, object): [good < medium < bad]