Matplotlib, 3D logaxis, incomplete figure

Question

I am playing with matplotlib, I would like to have a 3d figure with logarithmic axis. I was trying some code, like the one below, but I can only see part of the figure at a time, if I try to move it, I can see other parts, but, not complete.

Does anyone have any idea how to make a 3D plot with log axis?

I can see the 3D image if the axis are linear, but as soon as I change to "log", I can only see part of it.

import matplotlib as mpl
import numpy as np
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt   
data=np.array([[1,10,100],[10,1,1],[2,20,82]])
fig=plt.figure()
ax=Axes3D(fig)
#ax.set_xlim3d(0.1,15)
#ax.set_ylim3d(0.1,15)
#ax.set_zlim3d(0.1,15)
ax.xaxis.set_scale('log')
ax.yaxis.set_scale('log')
ax.zaxis.set_scale('log')
ax.scatter(data[:,0],data[:,1],data[:,2])
plt.show()

Answer 1

I updated matplotlib to 1.3.1, and now I can see the full figure. Now, I think the axis are not in a log scale. I made a plot in matplotlib and the same plot with gnuplot , and it can be seen that the distances between every power of 10, are comlpetely different.