Unfortunately, no. I have made several attempts at implementing this, with
the last attempt during the sprints at SciPy 2014. I got tantalizingly
close, but it fell apart as I tried to bring all the pieces back together.
The mplot3d code is actually very old and doesn't use the transforms system
ve
The following minimal code example illustrates a problem I'm having.
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
# succeeds
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
plt.show()
# succeeds
fig = plt.figure()
ax = fig.add_
