Bug report

Bug summary

If the edge color is'face' on some (all?) of the 3D version of the collections we lose that fact and end up "locking in" the first colors that we render.

Code for reproduction

This test currently fails, it should pass. The issue (once#18929 is merged) fails due to the edges still being jet colored.

@pytest.mark.style('default')@check_figures_equal(extensions=["png"])deftest_scalarmap_change_cmap(fig_test,fig_ref):x,y,z=np.array((list(itertools.product(*[np.arange(0,5,1),np.arange(0,5,1),np.arange(0,5,1)])))).Tc=x+y# testax_test=fig_test.add_subplot(111,projection='3d')sc_test=ax_test.scatter(x,y,z,c=c,s=40,cmap='jet')# force a drawfig_test.canvas.draw()sc_test.set_cmap('viridis')# refax_ref=fig_ref.add_subplot(111,projection='3d')sc_ref=ax_ref.scatter(x,y,z,c=c,s=40,cmap='viridis')

Matplotlib version

• Operating system: any
• Matplotlib version: default branch
• Matplotlib backend (print(matplotlib.get_backend())): any
• Python version: any
• Jupyter version (if applicable): any
• Other libraries: --

This is a good first issue because there is no API design, but medium difficulty because it will require splunking through the mplot3D code and deciding the best way to do the book keeping that the edgecolors may be "face" (which means "what ever the face colors are").