BUG: DataFrame.plot does not respect integer index as x-ticks #2726

Author: changhiskhan

pandas/tests/test_graphics.py

@@ -300,6 +300,16 @@ def test_xcompat(self):
         lines = ax.get_lines()
         self.assert_(isinstance(lines[0].get_xdata(), PeriodIndex))
 
+    @slow
+    def test_unsorted_index(self):
+        df = DataFrame({'y': range(100)},
+                       index=range(99, -1, -1))
+        ax = df.plot()
+        l = ax.get_lines()[0]
+        rs = l.get_xydata()
+        rs = Series(rs[:, 1], rs[:, 0], dtype=int)
+        tm.assert_series_equal(rs, df.y)
+
     def _check_data(self, xp, rs):
         xp_lines = xp.get_lines()
         rs_lines = rs.get_lines()

pandas/tools/plotting.py

@@ -872,13 +872,15 @@ def _get_xticks(self, convert_period=False):
             if convert_period and isinstance(index, PeriodIndex):
                 index = index.to_timestamp().order()
                 x = index._mpl_repr()
-            elif index.is_numeric() or is_datetype:
+            elif index.is_numeric():
                 """
                 Matplotlib supports numeric values or datetime objects as
                 xaxis values. Taking LBYL approach here, by the time
                 matplotlib raises exception when using non numeric/datetime
                 values for xaxis, several actions are already taken by plt.
                 """
+                x = index._mpl_repr()
+            elif is_datetype:
                 x = index.order()._mpl_repr()
             else:
                 self._need_to_set_index = True