This example shows how to do image manipulation using common numpy arrays tricks.
Python source code: plot_numpy_array.py
import numpy as np
import scipy
import scipy.misc
import matplotlib.pyplot as plt
face = scipy.misc.face(gray=True)
face[10:13, 20:23]
face[100:120] = 255
lx, ly = face.shape
X, Y = np.ogrid[0:lx, 0:ly]
mask = (X - lx/2)**2 + (Y - ly/2)**2 > lx*ly/4
face[mask] = 0
face[range(400), range(400)] = 255
plt.figure(figsize=(3, 3))
plt.axes([0, 0, 1, 1])
plt.imshow(face, cmap=plt.cm.gray)
plt.axis('off')
plt.show()
Total running time of the example: 0.23 seconds ( 0 minutes 0.23 seconds)