These two method calls should perform the same log scaling action. However, the output from xaxis.set_scale('log') behaves differently. See the attached figures for the difference. I am guessing yaxis counterparts behave the same way.

fig = plt.figure(figsize=(5, 5))ax1 = fig.add_subplot(1,1,1)ax1.plot(np.random.randn(100))ax1.xaxis.set_scale('log')ax1.set_xscale('log')plt.matplotlib.__version__ '1.3.x'