title: Plotting mplot3d / axes3D xyz surface plot with log scale?
body: <p>I've been looking high and low for a solution to this simple problem but I can't find it anywhere! There are a loads of posts detailing semilog / loglog plotting of data in 2D e.g. plt.setxscale('log') however I'm interested in using log scales on a 3d plot(mplot3d).</p>
  
  <p>I don't have the exact code to hand and so can't post it here, however the simple example below should be enough to explain the situation. I'm currently using Matplotlib 0.99.1 but should shortly be updating to 1.0.0 - I know I'll have to update my code for the mplot3d implementation.</p>
  
  <pre><code>from mpl_toolkits.mplot3d import Axes3D
  from matplotlib import cm
  from matplotlib.ticker import LinearLocator, FixedLocator, FormatStrFormatter
  import matplotlib.pyplot as plt
  import numpy as np
  
  fig = plt.figure()
  ax = Axes3D(fig)
  X = np.arange(-5, 5, 0.025)
  Y = np.arange(-5, 5, 0.025)
  X, Y = np.meshgrid(X, Y)
  R = np.sqrt(X**2 + Y**2)
  Z = np.sin(R)
  surf = ax.plot_surface(X, Y, Z, rstride=1, cstride=1, cmap=cm.jet, extend3d=True)
  ax.set_zlim3d(-1.01, 1.01)
  
  ax.w_zaxis.set_major_locator(LinearLocator(10))
  ax.w_zaxis.set_major_formatter(FormatStrFormatter('%.03f'))
  
  fig.colorbar(surf)
  
  plt.show()
  </code></pre>
  
  <p>The above code will plot fine in 3D, however the three scales (X, Y, Z) are all linear. My 'Y' data spans several orders of magnitude (like 9!), so it would be very useful to plot it on a log scale. I can work around this by taking the log of the 'Y', recreating the numpy array and plotting the log(Y) on a linear scale, but in true python style I'm looking for smarter solution which will plot the data on a log scale. </p>
  
  <p>Is it possible to produce a 3D surface plot of my XYZ data using log scales, ideally I'd like X &amp; Z on linear scales and Y on a log scale?</p>
  
  <p>Any help would be greatly appreciated. Please forgive any obvious mistakes in the above example, as mentioned I don't have my exact code to have and so have altered a matplotlib gallery example from my memory.</p>
  
  <p>Thanks</p>