matplotlib
diff --git a/‎lib/matplotlib/image.py
Copy file name to clipboardExpand all lines: lib/matplotlib/image.py
+14-1Lines changed: 14 additions & 1 deletion b/‎lib/matplotlib/image.py
Copy file name to clipboardExpand all lines: lib/matplotlib/image.py
+14-1Lines changed: 14 additions & 1 deletion
@@ -486,16 +486,29 @@ def _make_image(self, A, in_bbox, out_bbox, clip_bbox, magnification=1.0,
                     raise ValueError("Invalid dimensions, got %s" % (A.shape,))
 
                 output = np.zeros((out_height, out_width, 4), dtype=A.dtype)
+                output_a = np.zeros((out_height, out_width), dtype=A.dtype)
 
                 alpha = self.get_alpha()
                 if alpha is None:
-                    alpha = 1.0
+                    alpha = 1
+
+                #resample alpha channel
+                alpha_channel = A[...,3]
+                _image.resample(
+                    alpha_channel, output_a, t, _interpd_[self.get_interpolation()],
+                    self.get_resample(), alpha,
+                    self.get_filternorm(), self.get_filterrad())
 
+                #resample rgb channels
+                A = _rgb_to_rgba(A[...,:3])
                 _image.resample(
                     A, output, t, _interpd_[self.get_interpolation()],
                     self.get_resample(), alpha,
                     self.get_filternorm(), self.get_filterrad())
 
+                #recombine rgb and alpha channels
+                output[...,3] = output_a
+
             # at this point output is either a 2D array of normed data
             # (of int or float)
             # or an RGBA array of re-sampled input