I'd like to plot a 3D surface and its contours as the surface evolves.
When I do it by simply calling plot_surface and/or contour3D multiple
times, the plot doesn't clear the old surface before plotting the new
one, so I get a whole bunch of surfaces accumulating in the same plot:
<snip>
import pylab as P
import matplotlib.axes3d as P3
# bad: plots multiple surfaces on top of each other
def animatePlot():
P.ion()
fig = P.gcf()
ax3d = P3.Axes3D(self.fig)
for i in xrange(100):
x, y, z = getLatestData(i)
ax3d.plot_surface( x, y, z )
ax3d.contour3D( x, y, z )
P.draw()
</snip>
The one workaround I've found so far is to recreate the entire Axes3D
object at each iteration:
<snip>
import pylab as P
import matplotlib.axes3d as P3
# Better: clears previous surface & contours before re-plotting
# Slower.
def animatePlot():
P.ion()
fig = P.gcf()
ax3d = P3.Axes3D(self.fig)
for i in xrange(100):
# P.clf() # uncomment to speed up, introduces flicker
self.fig = P.gcf()
self.ax3d = P3.Axes3D(self.fig)
x, y, z = getLatestData(i)
ax3d.plot_surface( x, y, z )
ax3d.contour3D( x, y, z )
P.draw()
</snip>
... but this is significantly slower than the first method. If I
uncomment the P.clf() call above, it actually gets faster (??), but
there's some unpleasant screen flicker. What's the Right Way to replot a
changing surface+contour plot?
Thanks,
-- Matt
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