BUG: pass sharex and sharey in grouped_hist

Author: cpcloud

doc/source/release.rst

@@ -297,6 +297,8 @@ pandas 0.12
   - Fixed bug where a 1xN DataFrame would barf on a 1xN mask (:issue:`4071`)
   - Fixed running of ``tox`` under python3 where the pickle import was getting
     rewritten in an incompatible way (:issue:`4062`, :issue:`4063`)
+  - Fixed bug where sharex and sharey were not being passed to grouped_hist
+    (:issue:`4089`)
 
 
 pandas 0.11.0

doc/source/v0.12.0.txt

@@ -439,6 +439,8 @@ Bug Fixes
   - Fixed bug where a 1xN DataFrame would barf on a 1xN mask (:issue:`4071`)
   - Fixed running of ``tox`` under python3 where the pickle import was getting
     rewritten in an incompatible way (:issue:`4062`, :issue:`4063`)
+  - Fixed bug where sharex and sharey were not being passed to grouped_hist
+    (:issue:`4089`)
 
 See the :ref:`full release notes
 <release>` or issue tracker

pandas/tests/test_graphics.py

@@ -12,6 +12,7 @@
 
 
 import numpy as np
+from numpy import random
 
 from numpy.testing import assert_array_equal
 from numpy.testing.decorators import slow
@@ -947,6 +948,38 @@ def test_grouped_hist(self):
         self.assertRaises(AttributeError, plotting.grouped_hist, df.A,
                           by=df.C, foo='bar')
 
+    @slow
+    def test_axis_shared(self):
+        # GH4089
+        import matplotlib.pyplot as plt
+        def tick_text(tl):
+            return [x.get_text() for x in tl]
+
+        n = 100
+        df = DataFrame({'gender': np.array(['Male', 'Female'])[random.randint(2, size=n)],
+                        'height': random.normal(66, 4, size=n),
+                        'weight': random.normal(161, 32, size=n)})
+        ax1, ax2 = df.hist(column='height', by=df.gender, sharex=True)
+        self.assert_(ax1._shared_x_axes.joined(ax1, ax2))
+        self.assertFalse(ax1._shared_y_axes.joined(ax1, ax2))
+        self.assert_(ax2._shared_x_axes.joined(ax1, ax2))
+        self.assertFalse(ax2._shared_y_axes.joined(ax1, ax2))
+        plt.close('all')
+
+        ax1, ax2 = df.hist(column='height', by=df.gender, sharey=True)
+        self.assertFalse(ax1._shared_x_axes.joined(ax1, ax2))
+        self.assert_(ax1._shared_y_axes.joined(ax1, ax2))
+        self.assertFalse(ax2._shared_x_axes.joined(ax1, ax2))
+        self.assert_(ax2._shared_y_axes.joined(ax1, ax2))
+        plt.close('all')
+
+        ax1, ax2 = df.hist(column='height', by=df.gender, sharex=True,
+                           sharey=True)
+        self.assert_(ax1._shared_x_axes.joined(ax1, ax2))
+        self.assert_(ax1._shared_y_axes.joined(ax1, ax2))
+        self.assert_(ax2._shared_x_axes.joined(ax1, ax2))
+        self.assert_(ax2._shared_y_axes.joined(ax1, ax2))
+
     def test_option_mpl_style(self):
         set_option('display.mpl_style', 'default')
         set_option('display.mpl_style', None)

pandas/tools/plotting.py

@@ -1928,7 +1928,7 @@ def hist_frame(data, column=None, by=None, grid=True, xlabelsize=None,
     if by is not None:
 
         axes = grouped_hist(data, by=by, ax=ax, grid=grid, figsize=figsize,
-                            **kwds)
+                            sharex=sharex, sharey=sharey, **kwds)
 
         for ax in axes.ravel():
             if xlabelsize is not None: