matplotlib
diff --git a/‎lib/matplotlib/axes/_axes.py
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+4-4Lines changed: 4 additions & 4 deletions b/‎lib/matplotlib/axes/_axes.py
Copy file name to clipboardExpand all lines: lib/matplotlib/axes/_axes.py
+4-4Lines changed: 4 additions & 4 deletions
diff --git a/‎lib/matplotlib/tests/baseline_images/test_axes/scatter_marker.png
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896 Bytes b/‎lib/matplotlib/tests/baseline_images/test_axes/scatter_marker.png
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896 Bytes
diff --git a/‎lib/matplotlib/tests/test_axes.py
Copy file name to clipboardExpand all lines: lib/matplotlib/tests/test_axes.py
+11-1Lines changed: 11 additions & 1 deletion b/‎lib/matplotlib/tests/test_axes.py
Copy file name to clipboardExpand all lines: lib/matplotlib/tests/test_axes.py
+11-1Lines changed: 11 additions & 1 deletion
@@ -3958,15 +3958,15 @@ def scatter(self, x, y, s=None, c=None, marker=None, cmap=None, norm=None,
 
         scales = s   # Renamed for readability below.
 
-        # load default marker from rcParams
-        if marker is None:
-            marker = rcParams['scatter.marker']
-
         # to be API compatible
         if marker is None and not (verts is None):
             marker = (verts, 0)
             verts = None
 
+        # load default marker from rcParams
+        if marker is None:
+            marker = rcParams['scatter.marker']
+
         if isinstance(marker, mmarkers.MarkerStyle):
             marker_obj = marker
         else:
 
@@ -1283,7 +1283,7 @@ def test_scatter_plot():
 @image_comparison(baseline_images=['scatter_marker'], remove_text=True,
                   extensions=['png'])
 def test_scatter_marker():
-    fig, (ax0, ax1) = plt.subplots(ncols=2)
+    fig, (ax0, ax1, ax2) = plt.subplots(ncols=3)
     ax0.scatter([3, 4, 2, 6], [2, 5, 2, 3],
                 c=[(1, 0, 0), 'y', 'b', 'lime'],
                 s=[60, 50, 40, 30],
@@ -1294,6 +1294,16 @@ def test_scatter_marker():
                 s=[60, 50, 40, 30],
                 edgecolors=['k', 'r', 'g', 'b'],
                 marker=mmarkers.MarkerStyle('o', fillstyle='top'))
+    # unit area ellipse
+    rx, ry = 3, 1
+    area = rx * ry * np.pi
+    theta = np.linspace(0, 2 * np.pi, 21)
+    verts = list(zip(np.cos(theta) * rx / area, np.sin(theta) * ry / area))
+    ax2.scatter([3, 4, 2, 6], [2, 5, 2, 3],
+                c=[(1, 0, 0), 'y', 'b', 'lime'],
+                s=[60, 50, 40, 30],
+                edgecolors=['k', 'r', 'g', 'b'],
+                verts=verts)
 
 
 @image_comparison(baseline_images=['scatter_2D'], remove_text=True,