First of all, it's not very tidy to mix pylab
and pyplot
code. What's more, pyplot style is preferred over using pylab.
Here is a slightly cleaned up code, using only pyplot
functions:
from matplotlib import pyplot
a = [ pow(10,i) for i in range(10) ]
pyplot.subplot(2,1,1)
pyplot.plot(a, color='blue', lw=2)
pyplot.yscale('log')
pyplot.show()
The relevant function is pyplot.yscale()
. If you use the object-oriented version, replace it by the method Axes.set_yscale()
. Remember that you can also change the scale of X axis, using pyplot.xscale()
(or Axes.set_xscale()
).
Check my question What is the difference between ‘log’ and ‘symlog’? to see a few examples of the graph scales that matplotlib offers.