#! /usr/bin/env python

# 2008.10.01  Mark Neeser
# 
# A python routine demonstrating log plots.  Notice how python takes care of the correct scaling,
# plot labels, and offsets.  Nice....



import numpy as np
from pylab import *                                                # importing plotting modules

subplots_adjust(hspace=0.4)

t = np.arange(0.01, 50.0, 0.01)                                    # some fake data



# log y axis (base 10)

subplot(311)
semilogy(t, np.exp(-t/5.0))
ylabel('semilogy')
grid(True)

title('And there was much rejoicing!')

# log x axis (base 10)

subplot(312)
semilogx(t, np.sin(2*np.pi*t))
ylabel('semilogx')
grid(True)



# both log x and y axes (base 4 on x-axis; base 10 on y-axis)

subplot(313)
loglog(t, 20*np.exp(-t/10.0), basex=4)
grid(True)
ylabel('loglog base 4 on x')

show()