ERR: Improve error message on non-sorted input with .truncate

doc/source/whatsnew/v0.22.0.txt

@@ -46,6 +46,8 @@ Other API Changes
 - :class:`Timestamp` will no longer silently ignore invalid ``freq`` arguments (:issue:`5168`)
 - :class:`CacheableOffset` and :class:`WeekDay` are no longer available in the ``pandas.tseries.offsets`` module (:issue:`17830`)
 - `tseries.frequencies.get_freq_group()` and `tseries.frequencies.DAYS` are removed from the public API (:issue:`18034`)
+- :func:`Series.truncate` and :func:`DataFrame.truncate` will raise a ``ValueError`` if the index is not sorted (:issue:`17935`)
+
 
 .. _whatsnew_0220.deprecations:
 

pandas/core/generic.py

@@ -6338,6 +6338,12 @@ def truncate(self, before=None, after=None, axis=None, copy=True):
         axis = self._get_axis_number(axis)
         ax = self._get_axis(axis)
 
+        # GH 17935
+        # Check that index is sorted
+        if (not ax.is_monotonic_increasing and
+           not ax.is_monotonic_decreasing):
+            raise ValueError("truncate requires a sorted index")
+
         # if we have a date index, convert to dates, otherwise
         # treat like a slice
         if ax.is_all_dates:

pandas/tests/frame/test_timeseries.py

@@ -377,6 +377,33 @@ def test_truncate_copy(self):
         truncated.values[:] = 5.
         assert not (self.tsframe.values[5:11] == 5).any()
 
+    def test_truncate_nonsortedindex(self):
+        # GH 17935
+
+        df = pd.DataFrame({'A': ['a', 'b', 'c', 'd', 'e']},
+                          index=[5, 3, 2, 9, 0])
+        with tm.assert_raises_regex(ValueError,
+                                    'truncate requires a sorted index'):
+            df.truncate(before=3, after=9)
+
+        rng = pd.date_range('2011-01-01', '2012-01-01', freq='W')
+        ts = pd.DataFrame({'A': np.random.randn(len(rng)),
+                           'B': np.random.randn(len(rng))}, 
+                           index=rng)
+        with tm.assert_raises_regex(ValueError,
+                                    'truncate requires a sorted index'):
+            ts.sort_values(ascending=False).truncate(before='2011-11',
+                                                     after='2011-12')
+
+        df = pd.DataFrame({3: np.random.randn(5),
+                           20: np.random.randn(5),
+                           2: np.random.randn(5),
+                           0: np.random.randn(5)},
+                          columns=[3, 20, 2, 0])
+        with tm.assert_raises_regex(ValueError,
+                                    'truncate requires a sorted index'):
+            df.truncate(before=2, after=20, axis=1)
+
     def test_asfreq(self):
         offset_monthly = self.tsframe.asfreq(offsets.BMonthEnd())
         rule_monthly = self.tsframe.asfreq('BM')

pandas/tests/series/test_timeseries.py

@@ -236,6 +236,22 @@ def test_truncate(self):
                       before=self.ts.index[-1] + offset,
                       after=self.ts.index[0] - offset)
 
+    def test_truncate_nonsortedindex(self):
+        # GH 17935
+
+        s = pd.Series(['a', 'b', 'c', 'd', 'e'],
+                       index=[5, 3, 2, 9, 0])
+        with tm.assert_raises_regex(ValueError,
+                                    'truncate requires a sorted index'):
+            s.truncate(before=3, after=9)
+
+        rng = pd.date_range('2011-01-01', '2012-01-01', freq='W')
+        ts = pd.Series(np.random.randn(len(rng)), index=rng)
+        with tm.assert_raises_regex(ValueError,
+                                    'truncate requires a sorted index'):
+            ts.sort_values(ascending=False).truncate(before='2011-11',
+                                                     after='2011-12')
+
     def test_asfreq(self):
         ts = Series([0., 1., 2.], index=[datetime(2009, 10, 30), datetime(
             2009, 11, 30), datetime(2009, 12, 31)])