#!/usr/bin/python

import numpy
import matplotlib.pyplot

data = numpy.loadtxt(fname='inflammation-01.csv', delimiter=',')

fig = matplotlib.pyplot.figure(figsize=(10.0, 3.0))

axes1 = fig.add_subplot(1, 4, 1)
axes2 = fig.add_subplot(1, 4, 2)
axes3 = fig.add_subplot(1, 4, 3)
axes4 = fig.add_subplot(1, 4, 4)

axes1.imshow(data)
axes1.set_title('Default tick frequency')

# Increase frequency of ticks using set_xticks/set_yticks
x_axis_vals = data.shape[1]
x_range = numpy.arange(0,x_axis_vals,1)
axes2.imshow(data)
axes2.set_title('Increased tick frequency')
axes2.set_xticks(x_range)
# decrease frequency of ticks using set_xticks/set_yticks
x_range = numpy.arange(0,x_axis_vals,10)
axes3.imshow(data)
axes3.set_title('Decreased tick frequency')
axes3.set_xticks(x_range)

# Modify values of x_tick using tick labels
x_range1 = numpy.arange(0,x_axis_vals,5)		# Original ticks
x_range2 = numpy.arange(50,x_axis_vals+50,5)	# Original ticks will be modified to these values
axes4.imshow(data)
axes4.set_xticks(x_range1)
# Size of label array should be identical to tick array.
axes4.set_title('Modified tick labels')
axes4.set_xticklabels(x_range2)

matplotlib.pyplot.show()