BUG: fixed wrong order of ordered labels in pd.cut()

Author: economy

pandas/core/reshape/tile.py

@@ -252,7 +252,7 @@ def _bins_to_cuts(x, bins, right=True, labels=None,
                 raise ValueError('Bin labels must be one fewer than '
                                  'the number of bin edges')
         if not is_categorical_dtype(labels):
-            labels = Categorical(labels, ordered=True)
+            labels = Categorical(labels, categories=labels, ordered=True)
 
         np.putmask(ids, na_mask, 0)
         result = algos.take_nd(labels, ids - 1)

pandas/tests/reshape/test_tile.py

@@ -211,6 +211,7 @@ def test_cut_pass_labels(self):
 
         result = cut(arr, bins, labels=labels)
         exp = Categorical(['Medium'] + 4 * ['Small'] + ['Medium', 'Large'],
+			  categories=labels,
                           ordered=True)
         tm.assert_categorical_equal(result, exp)