matplotlib
diff --git a/‎lib/matplotlib/axes.py
Lines changed: 7 additions & 3 deletions b/‎lib/matplotlib/axes.py
Lines changed: 7 additions & 3 deletions
diff --git a/‎lib/matplotlib/tests/baseline_images/test_scale/log_scales.pdf
-483 Bytes b/‎lib/matplotlib/tests/baseline_images/test_scale/log_scales.pdf
-483 Bytes
diff --git a/‎lib/matplotlib/tests/baseline_images/test_scale/log_scales.png
-1015 Bytes b/‎lib/matplotlib/tests/baseline_images/test_scale/log_scales.png
-1015 Bytes
@@ -522,7 +522,7 @@ def set_figure(self, fig):
         self.bbox = mtransforms.TransformedBbox(self._position,
                                                 fig.transFigure)
         # these will be updated later as data is added
-        self.dataLim = mtransforms.Bbox.unit()
+        self.dataLim = mtransforms.Bbox.null()
         self.viewLim = mtransforms.Bbox.unit()
         self.transScale = mtransforms.TransformWrapper(
             mtransforms.IdentityTransform())
@@ -1625,13 +1625,16 @@ def relim(self):
         # Collections are deliberately not supported (yet); see
         # the TODO note in artists.py.
         self.dataLim.ignore(True)
+        self.dataLim.set_points(mtransforms.Bbox.null().get_points())
         self.ignore_existing_data_limits = True
+
         for line in self.lines:
             self._update_line_limits(line)
 
         for p in self.patches:
             self._update_patch_limits(p)
 
+
     def update_datalim(self, xys, updatex=True, updatey=True):
         """
         Update the data lim bbox with seq of xy tups or equiv. 2-D array
@@ -8467,11 +8470,11 @@ def hist(self, x, bins=10, range=None, normed=False, weights=None,
             for x, y, c in reversed(zip(xvals, yvals, color)):
                 if fill:
                     patches.append(self.fill(x, y,
-                                             closed=False,
+                                             closed=True,
                                              facecolor=c))
                 else:
                     patches.append(self.fill(x, y,
-                                             closed=False, edgecolor=c,
+                                             closed=True, edgecolor=c,
                                              fill=False))
 
             # we return patches, so put it back in the expected order
@@ -8531,6 +8534,7 @@ def hist(self, x, bins=10, range=None, normed=False, weights=None,
 
         self.set_autoscalex_on(_saved_autoscalex)
         self.set_autoscaley_on(_saved_autoscaley)
+        self.relim()
         self.autoscale_view()
 
         if nx == 1: