import matplotlib.pyplot as plt
import numpy as np
from numpy.random import randn
fig = plt.figure()
data = np.clip(randn(250,250),-1,1)
cax = plt.imshow(data, interpolation='nearest')
title_obj = plt.title('my random fig') #get the title property handler
plt.getp(title_obj) #print out the properties of title
plt.getp(title_obj, 'text') #print out the 'text' property for title
plt.setp(title_obj, color='r') #set the color of title to red
axes_obj = plt.getp(cax,'axes') #get the axes' property handler
ytl_obj = plt.getp(axes_obj, 'yticklabels') #get the properties for
# yticklabels
plt.getp(ytl_obj) #print out a list of properties
# for yticklabels
plt.setp(ytl_obj, color="r") #set the color of yticks to red
plt.setp(plt.getp(axes_obj, 'xticklabels'), color='r') #xticklabels: same
color_bar = plt.colorbar() #this one is a little bit
cbytick_obj = plt.getp(color_bar.ax.axes, 'yticklabels') #tricky
plt.setp(cbytick_obj, color='r')
plt.savefig('temp.png')
plt.savefig('temp2.png', facecolor="black", edgecolor="none")