T-Hamilton
diff --git a/‎lib/matplotlib/axes/_axes.py
Lines changed: 2 additions & 2 deletions b/‎lib/matplotlib/axes/_axes.py
Lines changed: 2 additions & 2 deletions
diff --git a/‎lib/matplotlib/pyplot.py
Lines changed: 3 additions & 2 deletions b/‎lib/matplotlib/pyplot.py
Lines changed: 3 additions & 2 deletions
diff --git a/‎lib/matplotlib/tests/baseline_images/test_axes/test_horiz_violinplot_baseline.pdf
-16.6 KB b/‎lib/matplotlib/tests/baseline_images/test_axes/test_horiz_violinplot_baseline.pdf
-16.6 KB
diff --git a/‎lib/matplotlib/tests/baseline_images/test_axes/test_horiz_violinplot_baseline.png
-32.9 KB b/‎lib/matplotlib/tests/baseline_images/test_axes/test_horiz_violinplot_baseline.png
-32.9 KB
@@ -6735,7 +6735,7 @@ def violinplot(self, dataset, positions=None, vert=True, widths=0.5,
 
           violinplot(dataset, positions=None, vert=True, widths=0.5,
                      showmeans=False, showextrema=True, showmedians=False,
-                     points=100):
+                     points=100, bw_method=None):
 
         Make a violin plot for each column of *dataset* or each vector in
         sequence *dataset*.  Each filled area extends to represent the
@@ -6864,7 +6864,7 @@ def violinplot(self, dataset, positions=None, vert=True, widths=0.5,
             max_val = kde.dataset.max()
             mean = np.mean(kde.dataset)
             median = np.median(kde.dataset)
-            coords = np.arange(min_val, max_val, (max_val - min_val)/points)
+            coords = np.linspace(min_val, max_val, points)
 
             vals = kde.evaluate(coords)
 
 
@@ -3400,7 +3400,8 @@ def triplot(*args, **kwargs):
 # changes will be lost
 @_autogen_docstring(Axes.violinplot)
 def violinplot(dataset, positions=None, vert=True, widths=0.5, showmeans=False,
-               showextrema=True, showmedians=False, points=100, hold=None):
+               showextrema=True, showmedians=False, points=100, bw_method=None,
+               hold=None):
     ax = gca()
     # allow callers to override the hold state by passing hold=True|False
     washold = ax.ishold()
@@ -3411,7 +3412,7 @@ def violinplot(dataset, positions=None, vert=True, widths=0.5, showmeans=False,
         ret = ax.violinplot(dataset, positions=positions, vert=vert,
                             widths=widths, showmeans=showmeans,
                             showextrema=showextrema, showmedians=showmedians,
-                            points=points)
+                            points=points, bw_method=bw_method)
         draw_if_interactive()
     finally:
         ax.hold(washold)