code review comments

Author: Ajay Saxena

pandas/tools/tests/test_tile.py

@@ -285,14 +285,14 @@ def test_single_bin(self):
         tm.assert_series_equal(result, expected)
 
     def test_datetime_cut(self):
+        # GH 14714
         data = to_datetime(Series(['2013-01-01', '2013-01-02', '2013-01-03']))
-        result = cut(data, 3)
-        self.assertEqual(result[0],
-                         '(2012-12-31 23:57:07.200000, 2013-01-01 16:00:00]')
-        self.assertEqual(result[1],
-                         '(2013-01-01 16:00:00, 2013-01-02 08:00:00]')
-        self.assertEqual(result[2],
-                         '(2013-01-02 08:00:00, 2013-01-03 00:00:00]')
+        result, bins = cut(data, 3, retbins=True)
+        expected = Series(['(2012-12-31 23:57:07.200000, 2013-01-01 16:00:00]',
+                          '(2013-01-01 16:00:00, 2013-01-02 08:00:00]',
+                           '(2013-01-02 08:00:00, 2013-01-03 00:00:00]'],
+                          ).astype("category", ordered=True)
+        tm.assert_series_equal(result, expected)
 
 
 def curpath():

pandas/tools/tile.py

@@ -11,7 +11,7 @@
 import pandas.core.algorithms as algos
 import pandas.core.nanops as nanops
 from pandas.compat import zip
-from pandas.tseries.timedeltas import to_timedelta
+from pandas import to_timedelta
 from pandas import to_datetime
 import numpy as np
 from pandas.types.common import (is_datetime64_dtype, is_timedelta64_dtype)
@@ -90,7 +90,7 @@ def cut(x, bins, right=True, labels=None, retbins=False, precision=3,
         x = x.view(np.int64)
         dtype = np.timedelta64
 
-    if is_datetime64_dtype(x):
+    elif is_datetime64_dtype(x):
         x = x.view(np.int64)
         dtype = np.datetime64
 
@@ -184,7 +184,7 @@ def qcut(x, q, labels=None, retbins=False, precision=3):
         x = x.view(np.int64)
         dtype = np.timedelta64
 
-    if is_datetime64_dtype(x):
+    elif is_datetime64_dtype(x):
         x = x.view(np.int64)
         dtype = np.datetime64