matplotlib
diff --git a/‎lib/matplotlib/axes.py
Lines changed: 15 additions & 8 deletions b/‎lib/matplotlib/axes.py
Lines changed: 15 additions & 8 deletions
diff --git a/‎lib/matplotlib/tests/baseline_images/test_axes/hist_step_bottom.png
9.41 KB b/‎lib/matplotlib/tests/baseline_images/test_axes/hist_step_bottom.png
9.41 KB
diff --git a/‎lib/matplotlib/tests/test_axes.py
Lines changed: 9 additions & 0 deletions b/‎lib/matplotlib/tests/test_axes.py
Lines changed: 9 additions & 0 deletions
@@ -8319,18 +8319,18 @@ def hist(self, x, bins=10, range=None, normed=False, weights=None,
         hist_kwargs = dict(range=bin_range)
 
         n = []
-        mlast = bottom
+        mlast = None
         for i in xrange(nx):
             # this will automatically overwrite bins,
             # so that each histogram uses the same bins
             m, bins = np.histogram(x[i], bins, weights=w[i], **hist_kwargs)
             m = m.astype(float) # causes problems later if it's an int
-            if mlast is None:
-                mlast = np.zeros(len(bins)-1, m.dtype)
             if normed and not stacked:
                 db = np.diff(bins)
                 m = (m.astype(float) / db) / m.sum()
             if stacked:
+                if mlast is None:
+                    mlast = np.zeros(len(bins)-1, m.dtype)
                 m += mlast
                 mlast[:] = m
             n.append(m)
@@ -8421,6 +8421,12 @@ def hist(self, x, bins=10, range=None, normed=False, weights=None,
             x[0:2*len(bins)-1:2], x[1:2*len(bins)-1:2] = bins, bins[:-1]
             x[2*len(bins)-1:] = x[1:2*len(bins)-1][::-1]
 
+            if bottom is None:
+                bottom = np.zeros(len(bins)-1, np.float)
+
+            y[1:2*len(bins)-1:2], y[2:2*len(bins):2] = bottom, bottom
+            y[2*len(bins)-1:] = y[1:2*len(bins)-1][::-1]
+
             if log:
                 if orientation == 'horizontal':
                     self.set_xscale('log', nonposx='clip')
@@ -8456,12 +8462,13 @@ def hist(self, x, bins=10, range=None, normed=False, weights=None,
 
             xvals, yvals = [], []
             for m in n:
-                # starting point for drawing polygon
-                y[0] = y[1]
-                # top of the previous polygon becomes the bottom
-                y[2*len(bins)-1:] = y[1:2*len(bins)-1][::-1]
+                if stacked:
+                    # starting point for drawing polygon
+                    y[0] = y[1]
+                    # top of the previous polygon becomes the bottom
+                    y[2*len(bins)-1:] = y[1:2*len(bins)-1][::-1]
                 # set the top of this polygon
-                y[1:2*len(bins)-1:2], y[2:2*len(bins)-1:2] = m, m
+                y[1:2*len(bins)-1:2], y[2:2*len(bins):2] = m + bottom, m + bottom
                 if log:
                     y[y < minimum] = minimum
                 if orientation == 'horizontal':
 
@@ -1127,6 +1127,15 @@ def test_hist_stacked_normed():
     ax.hist((d1, d2), stacked=True, normed=True)
 
 
+@image_comparison(baseline_images=['hist_step_bottom'], extensions=['png'], remove_text=True)
+def test_hist_step_bottom():
+    # make some data
+    d1 = np.linspace(1, 3, 20)
+    fig = plt.figure()
+    ax = fig.add_subplot(111)
+    ax.hist(d1, bottom=np.arange(10), histtype="stepfilled")
+
+
 @image_comparison(baseline_images=['hist_stacked_bar'])
 def test_hist_stacked_bar():
     # make some data