Thanks for the definition of the function axes. I can reproduce the problem. IMHO, this is a bug in the Jmol 3D viewer when used in a Jupyter notebook. I think I already faced this bug some time ago on a composite 3D plot. Notice that the new threejs viewer does not have this problem: with your example G.show(viewer='threejs') works well.
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