matplotlib · oscargus · Sep 21, 2022 · Sep 20, 2022
diff --git a/examples/mplot3d/contour3d_3.py b/examples/mplot3d/contour3d_3.py
@@ -1,30 +1,28 @@
 """
-========================================
-Projecting contour profiles onto a graph
-========================================
-
+=====================================
+Project contour profiles onto a graph
+=====================================
 Demonstrates displaying a 3D surface while also projecting contour 'profiles'
 onto the 'walls' of the graph.
-
-See contourf3d_demo2 for the filled version.
+See :doc:`contourf3d_2` for the filled version.
 """
 
 from mpl_toolkits.mplot3d import axes3d
 import matplotlib.pyplot as plt
-from matplotlib import cm
 
 ax = plt.figure().add_subplot(projection='3d')
 X, Y, Z = axes3d.get_test_data(0.05)
 
 # Plot the 3D surface
-ax.plot_surface(X, Y, Z, rstride=8, cstride=8, alpha=0.3)
+ax.plot_surface(X, Y, Z, edgecolor='royalblue', lw=0.5, rstride=8, cstride=8,
+                alpha=0.3)
 
 # Plot projections of the contours for each dimension.  By choosing offsets
 # that match the appropriate axes limits, the projected contours will sit on
 # the 'walls' of the graph.
-ax.contour(X, Y, Z, zdir='z', offset=-100, cmap=cm.coolwarm)
-ax.contour(X, Y, Z, zdir='x', offset=-40, cmap=cm.coolwarm)
-ax.contour(X, Y, Z, zdir='y', offset=40, cmap=cm.coolwarm)
+ax.contour(X, Y, Z, zdir='z', offset=-100, cmap='coolwarm')
+ax.contour(X, Y, Z, zdir='x', offset=-40, cmap='coolwarm')
+ax.contour(X, Y, Z, zdir='y', offset=40, cmap='coolwarm')
 
 ax.set(xlim=(-40, 40), ylim=(-40, 40), zlim=(-100, 100),
        xlabel='X', ylabel='Y', zlabel='Z')

diff --git a/examples/mplot3d/contourf3d_2.py b/examples/mplot3d/contourf3d_2.py
@@ -1,30 +1,28 @@
 """
-======================================
-Projecting filled contour onto a graph
-======================================
-
+===================================
+Project filled contour onto a graph
+===================================
 Demonstrates displaying a 3D surface while also projecting filled contour
 'profiles' onto the 'walls' of the graph.
-
-See contour3d_demo2 for the unfilled version.
+See :doc:`contour3d_3` for the unfilled version.
 """
 
 from mpl_toolkits.mplot3d import axes3d
 import matplotlib.pyplot as plt
-from matplotlib import cm
 
 ax = plt.figure().add_subplot(projection='3d')
 X, Y, Z = axes3d.get_test_data(0.05)
 
 # Plot the 3D surface
-ax.plot_surface(X, Y, Z, rstride=8, cstride=8, alpha=0.3)
+ax.plot_surface(X, Y, Z, edgecolor='royalblue', lw=0.5, rstride=8, cstride=8,
+                alpha=0.3)
 
 # Plot projections of the contours for each dimension.  By choosing offsets
 # that match the appropriate axes limits, the projected contours will sit on
 # the 'walls' of the graph
-ax.contourf(X, Y, Z, zdir='z', offset=-100, cmap=cm.coolwarm)
-ax.contourf(X, Y, Z, zdir='x', offset=-40, cmap=cm.coolwarm)
-ax.contourf(X, Y, Z, zdir='y', offset=40, cmap=cm.coolwarm)
+ax.contourf(X, Y, Z, zdir='z', offset=-100, cmap='coolwarm')
+ax.contourf(X, Y, Z, zdir='x', offset=-40, cmap='coolwarm')
+ax.contourf(X, Y, Z, zdir='y', offset=40, cmap='coolwarm')
 
 ax.set(xlim=(-40, 40), ylim=(-40, 40), zlim=(-100, 100),
        xlabel='X', ylabel='Y', zlabel='Z')