Apply suggestions from code review

Co-authored-by: Tim Hoffmann <2836374+timhoffm@users.noreply.github.com>

Author: scottshambaugh

lib/matplotlib/axes/_base.py

@@ -3018,13 +3018,13 @@ def autoscale_view(self, tight=None, scalex=True, scaley=True):
                 for ax in self._shared_axes["x"].get_siblings(self):
                     for artist in ax.get_children():
                         edges.extend(artist.sticky_edges.x)
-                x_stickies = np.sort(edges) if edges else np.array([])
+                x_stickies = np.sort(edges)
             if self._ymargin and scaley and self.get_autoscaley_on():
                 edges = []
                 for ax in self._shared_axes["y"].get_siblings(self):
                     for artist in ax.get_children():
                         edges.extend(artist.sticky_edges.y)
-                y_stickies = np.sort(edges) if edges else np.array([])
+                y_stickies = np.sort(edges)
         if self.get_xscale() == 'log':
             x_stickies = x_stickies[x_stickies > 0]
         if self.get_yscale() == 'log':

lib/matplotlib/collections.py

@@ -1512,13 +1512,15 @@ def _make_verts(self, t, f1, f2, where):
 
         self._bbox = transforms.Bbox.null()
         t_where = t.data[where] if np.ma.isMA(t) else t[where]
+        f1_where = f1.data[where] if np.ma.isMA(f1) else f1[where]
+        f2_where = f2.data[where] if np.ma.isMA(f2) else f2[where]
         n = len(t_where)
         if n > 0:
             pts = np.empty((2 * n, 2))  # Preallocate and fill for speed
             pts[:n, 0] = t_where
-            pts[:n, 1] = f1.data[where] if np.ma.isMA(f1) else f1[where]
+            pts[:n, 1] = f1_where
             pts[n:, 0] = t_where
-            pts[n:, 1] = f2.data[where] if np.ma.isMA(f2) else f2[where]
+            pts[n:, 1] = f2_where
             self._bbox.update_from_data_xy(self._fix_pts_xy_order(pts))
 
         return [