Add test for issue pandas-dev#26186

pandas/plotting/_core.py

@@ -1305,15 +1305,13 @@ def _post_plot_logic(self, ax, data):
 
         s_edge = self.ax_pos[0] - 0.25 + self.lim_offset
         e_edge = self.ax_pos[-1] + 0.25 + self.bar_width + self.lim_offset
-        ax.set_xlim((s_edge, e_edge))
 
-        if name is not None and self.use_index:
-            ax.set_xlabel(name)
+        self._decorate_ticks(ax, name, self.ax_index, s_edge, e_edge)
 
     def _decorate_ticks(self, ax, name, ticklabels, start_edge, end_edge):
         ax.set_xlim((start_edge, end_edge))
-        ax.set_xticks(self.tick_pos)
-        ax.set_xticklabels(ticklabels)
+        ax.set_xticks(self.ax_index)
+        # ax.set_xticklabels(ticklabels)
         if name is not None and self.use_index:
             ax.set_xlabel(name)
 
@@ -1825,7 +1823,6 @@ def _plot(data, x=None, y=None, subplots=False,
 
     plot_obj.generate()
     plot_obj.draw()
-
     return plot_obj.result
 
 

pandas/tests/plotting/mytest.py

@@ -2,22 +2,27 @@
 import pandas as pd
 import matplotlib.pyplot as plt
 
-data = {"A":0, "B":3, "C":-4}
-df = pd.DataFrame.from_dict(data, orient = "index", columns = ["Value"])
-fig = plt.figure()
-ax = plt.gca()
-ax = df.plot.bar(ax = ax)
-
-df2 = df.sort_values("Value") * - 2
-df2.plot.bar(ax = ax, color = "red")
+data = {"A": 0, "B": 3, "C": -4}
+df = pd.DataFrame.from_dict(data, orient="index", columns=["Value"])
+ax = df.plot.bar()
+ax.get_figure().canvas.draw()
+xticklabels = [t.get_text() for t in ax.get_xticklabels()]
+label_positions_1 = dict(zip(xticklabels, ax.get_xticks()))
+df = df.sort_values("Value") * - 2
+df.plot.bar(ax=ax, color="red")
+ax.get_figure().canvas.draw()
+xticklabels = [t.get_text() for t in ax.get_xticklabels()]
+label_positions_2 = dict(zip(xticklabels, ax.get_xticks()))
+assert label_positions_1 == label_positions_2
 plt.show()
 
-fig = plt.figure(num='purepyplot')
-plt.bar(df.index.values, df.Value.values)
-ax = plt.gca()
-ax.bar(df2.index.values, df2.Value.values)
-plt.show()
 
-import tests.plotting.test_frame as tf 
-T = tf.TestDataFramePlots()
-T.test_bar_align_single_column()
+# fig = plt.figure(num='purepyplot')
+# plt.bar(df.index.values, df.Value.values)
+# ax = plt.gca()
+# ax.bar(df2.index.values, df2.Value.values)
+# plt.show()
+# 
+# import tests.plotting.test_frame as tf
+# T = tf.TestDataFramePlots()
+# T.test_bar_align_single_column()

pandas/tests/plotting/test_frame.py

@@ -3032,6 +3032,23 @@ def test_x_multiindex_values_ticks(self):
         assert labels_position['(2013, 1)'] == 2.0
         assert labels_position['(2013, 2)'] == 3.0
 
+    @pytest.mark.slow
+    def test_bar_ticklabel_consistence(self):
+        # Draw two consecutiv bar plot with consistent ticklabels
+        # GH: 26186
+        data = {"A": 0, "B": 3, "C": -4}
+        df = pd.DataFrame.from_dict(data, orient="index", columns=["Value"])
+        ax = df.plot.bar()
+        ax.get_figure().canvas.draw()
+        xticklabels = [t.get_text() for t in ax.get_xticklabels()]
+        label_positions_1 = dict(zip(xticklabels, ax.get_xticks()))
+        df = df.sort_values("Value") * - 2
+        df.plot.bar(ax=ax, color="red")
+        ax.get_figure().canvas.draw()
+        xticklabels = [t.get_text() for t in ax.get_xticklabels()]
+        label_positions_2 = dict(zip(xticklabels, ax.get_xticks()))
+        assert label_positions_1 == label_positions_2
+
 
 def _generate_4_axes_via_gridspec():
     import matplotlib.pyplot as plt