8th update for issue 3439

Author: ProsperousHeart

pandas/core/reshape/tile.py

@@ -75,13 +75,11 @@ def cut(x, bins, right=True, labels=None, retbins=False, precision=3,
     Examples
     --------
     >>> pd.cut(np.array([.2, 1.4, 2.5, 6.2, 9.7, 2.1]), 3, retbins=True)
-    ([(0.191, 3.367], (0.191, 3.367], (0.191, 3.367], (3.367, 6.533],
-      (6.533, 9.7], (0.191, 3.367]]
-    Categories (3, object): [(0.191, 3.367] < (3.367, 6.533] < (6.533, 9.7]],
-    array([ 0.1905    ,  3.36666667,  6.53333333,  9.7       ]))
+    ([(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       ]))
 
-    >>> pd.cut(np.array([.2, 1.4, 2.5, 6.2, 9.7, 2.1]), 3,
-               labels=["good","medium","bad"])
+    >>> result, bins = pd.cut(np.array([.2, 1.4, 2.5, 6.2, 9.7, 2.1]),
+    ...                                  3, labels=["good","medium","bad"])
     [good, good, good, medium, bad, good]
     Categories (3, object): [good < medium < bad]