SciPy image example

import matplotlib.pyplot as plt
import numpy as np
from scipy import misc

h = misc.imread("a.jpg")
print(h.shape)

f = misc.face(gray=True)
print(f.shape)
print(f.min(), f.max())

g = f
mask = g > 150
g[mask] = 255
print(g.min(), g.max())
plt.imshow(g, cmap=plt.cm.gray)

h = misc.imrotate(h, 75)
h = misc.imresize(h, (90, 90))
plt.contour(h, 4)

plt.figure()
plt.imshow(g[80:90, 80:90], interpolation="nearest")

plt.show()

for i in range(10):
    plt.figure()
    x = np.arange(100)
    y = np.random.rand(100)
    plt.plot(x, y)
    plt.savefig(str(i) + ".pdf")
plt.imsave("a.png", g, cmap=plt.cm.gray)
misc.imsave("a.jpg", g)