[matplotlib] How to set tight axis for log?

[plaf]

Dear all,
I need some help :)

I have been trying to plot several subplots, with the y axis being in linear and the x axis in log.

I need both axis to be tight to the data.

Here's what I have:

import wx
import scipy.io.matlab as matlab
import numpy
import matplotlib
matplotlib.use('WXAgg')
from matplotlib.pyplot import *
from matplotlib.figure import Figure
from matplotlib.backends.backend_wxagg import \
    FigureCanvasWxAgg as FigCanvas, \
    NavigationToolbar2WxAgg as NavigationToolbar
from pylab import *

fig = Figure((6.5, 5.0), dpi=100)
axes = fig.add_subplot(xlen,ylen,pos, polar=False, autoscale_on=False)
       
 axes.errorbar(data1[0,0][0], mean(data2[n],1), (var(data2[n],1)/sqrt(len(data2[n]))), (var(data2[n],1)/sqrt(len(data2[n]))))
axes.set_xscale('log')
axes.axis('tight')
axes.set_ylim([0,max(mean(tuning[n],1))*1.2+0.1])

I also used to have error (AttributeError: 'MaskedArray' object has no attribute 'putmask') with this code.

I have been looking for solution in forum archive, and someone suggested using set_autoscale_on(False) but I tried and this didn't work.

Any help would be much much appreciated!
Thanks!