scatter plot and hexbin plot lose x-axis when colorbar is included.

doc/source/whatsnew/v0.23.0.txt

@@ -1176,7 +1176,7 @@ Plotting
 - Bug in formatting tick labels with ``datetime.time()`` and fractional seconds (:issue:`18478`).
 - :meth:`Series.plot.kde` has exposed the args ``ind`` and ``bw_method`` in the docstring (:issue:`18461`). The argument ``ind`` may now also be an integer (number of sample points).
 - :func:`DataFrame.plot` now supports multiple columns to the ``y`` argument (:issue:`19699`)
-
+- Bug in :func:'DataFrame.plot.scatter' and :func:'DataFrame.plot.hexbin' caused x-axis label and ticklabels to disappear when colorbar was on in IPython inline backend (:issue:`10611` and :issue:`10678`)
 
 Groupby/Resample/Rolling
 ^^^^^^^^^^^^^^^^^^^^^^^^

pandas/plotting/_core.py

@@ -882,8 +882,13 @@ def _make_plot(self):
  kws = dict(ax=ax)
  if self.mpl_ge_1_3_1():
  kws['label'] = c if c_is_column else ''
- self.fig.colorbar(img, **kws)
-
+ cbar = self.fig.colorbar(img, **kws)
+ points = ax.get_position().get_points()
+ cbar_points = cbar.ax.get_position().get_points()
+ cbar.ax.set_position([cbar_points[0, 0],
+ points[0, 1],
+ cbar_points[1, 0] - cbar_points[0, 0],
+ points[1, 1] - points[0, 1]])
  if label is not None:
  self._add_legend_handle(scatter, label)
  else:
@@ -924,7 +929,13 @@ def _make_plot(self):
  **self.kwds)
  if cb:
  img = ax.collections[0]
- self.fig.colorbar(img, ax=ax)
+ cbar = self.fig.colorbar(img, ax=ax)
+ points = ax.get_position().get_points()
+ cbar_points = cbar.ax.get_position().get_points()
+ cbar.ax.set_position([cbar_points[0, 0],
+ points[0, 1],
+ cbar_points[1, 0] - cbar_points[0, 0],
+ points[1, 1] - points[0, 1]])
 
  def _make_legend(self):
  pass

pandas/tests/plotting/test_frame.py

@@ -1030,6 +1030,49 @@ def test_plot_scatter(self):
  axes = df.plot(x='x', y='y', kind='scatter', subplots=True)
  self._check_axes_shape(axes, axes_num=1, layout=(1, 1))
 
+ @pytest.mark.slow
+ def test_if_scatterplot_colorbar_affects_xaxis_visibility(self):
+ # addressing issue #10611, to ensure colobar does not
+ # interfere with x-axis label and ticklabels with
+ # ipython inline backend.
+ random_array = np.random.random((1000, 3))
+ df = pd.DataFrame(random_array,
+ columns=['A label', 'B label', 'C label'])
+
+ ax1 = df.plot.scatter(x='A label', y='B label')
+ ax2 = df.plot.scatter(x='A label', y='B label', c='C label')
+
+ vis1 = [vis.get_visible() for vis in
+ ax1.xaxis.get_minorticklabels()]
+ vis2 = [vis.get_visible() for vis in
+ ax2.xaxis.get_minorticklabels()]
+ assert vis1 == vis2
+
+ vis1 = [vis.get_visible() for vis in
+ ax1.xaxis.get_majorticklabels()]
+ vis2 = [vis.get_visible() for vis in
+ ax2.xaxis.get_majorticklabels()]
+ assert vis1 == vis2
+
+ assert (ax1.xaxis.get_label().get_visible() ==
+ ax2.xaxis.get_label().get_visible())
+
+ @pytest.mark.slow
+ def test_if_hexbin_xaxis_label_is_visible(self):
+ # addressing issue #10678, to ensure colobar does not
+ # interfere with x-axis label and ticklabels with
+ # ipython inline backend.
+ random_array = np.random.random((1000, 3))
+ df = pd.DataFrame(random_array,
+ columns=['A label', 'B label', 'C label'])
+
+ ax = df.plot.hexbin('A label', 'B label', gridsize=12)
+ assert all([vis.get_visible() for vis in
+ ax.xaxis.get_minorticklabels()])
+ assert all([vis.get_visible() for vis in
+ ax.xaxis.get_majorticklabels()])
+ assert ax.xaxis.get_label().get_visible()
+
  @pytest.mark.slow
  def test_plot_scatter_with_categorical_data(self):
  # GH 16199