TST: Modify tests/plotting/test_frame.test_bar_categorical

Ticklocs are now float also for categorical bar data (as they are
position on the axis). The test is changed to compare to a array of
np.float.

Author: nrebena

pandas/plotting/_matplotlib/core.py

@@ -1345,11 +1345,11 @@ def _make_plot(self):
         for i, (label, y) in enumerate(self._iter_data(fillna=0)):
             ax = self._get_ax(i)
 
-            if self.orientation == 'vertical':
+            if self.orientation == "vertical":
                 ax.xaxis.update_units(self.ax_index)
                 self.tick_pos = ax.convert_xunits(self.ax_index)
                 self.ax_pos = self.tick_pos - self.tickoffset
-            elif self.orientation == 'horizontal':
+            elif self.orientation == "horizontal":
                 ax.yaxis.update_units(self.ax_index)
                 self.tick_pos = ax.convert_yunits(self.ax_index)
                 self.ax_pos = self.tick_pos - self.tickoffset

pandas/tests/plotting/test_frame.py

@@ -1130,14 +1130,18 @@ def test_bar_categorical(self):
         for df in [df1, df2]:
             ax = df.plot.bar()
             ticks = ax.xaxis.get_ticklocs()
-            tm.assert_numpy_array_equal(ticks, np.array([0, 1, 2, 3, 4, 5]))
+            tm.assert_numpy_array_equal(
+                ticks, np.array([0, 1, 2, 3, 4, 5], dtype=np.float)
+            )
             assert ax.get_xlim() == (-0.5, 5.5)
             # check left-edge of bars
             assert ax.patches[0].get_x() == -0.25
             assert ax.patches[-1].get_x() == 5.15
 
             ax = df.plot.bar(stacked=True)
-            tm.assert_numpy_array_equal(ticks, np.array([0, 1, 2, 3, 4, 5]))
+            tm.assert_numpy_array_equal(
+                ticks, np.array([0, 1, 2, 3, 4, 5], dtype=np.float)
+            )
             assert ax.get_xlim() == (-0.5, 5.5)
             assert ax.patches[0].get_x() == -0.25
             assert ax.patches[-1].get_x() == 4.75