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python - apply color map to mpl_toolkits.mplot3d.Axes3D.bar3d

There is a 'color' argument to Axes3D's bar3d function which can accept arrays to color individual bars different colors - but how would I apply a color map (i.e. cmap = cm.jet) in the same way as a plot_surface function for example ? This would make a bar of a certain height a color which reflects its height.

http://matplotlib.sourceforge.net/examples/mplot3d/hist3d_demo.html

http://matplotlib.sourceforge.net/mpl_toolkits/mplot3d/api.html

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Following up the answer provided by Ferguzz, here is a more complete/up-to-date solution:

import matplotlib.colors as colors
import matplotlib.cm as cm


dz = height_values
offset = dz + np.abs(dz.min())
fracs = offset.astype(float)/offset.max()
norm = colors.Normalize(fracs.min(), fracs.max())
color_values = cm.jet(norm(fracs.tolist()))
ax.bar3d(xpos,ypos,zpos,1,1,dz, color=color_values)

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