2.6.8.3. Image manipulation and numpy arraysΒΆ

This example shows how to do image manipulation using common numpy arrays tricks.

../../../_images/sphx_glr_plot_numpy_array_001.png
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 script: ( 0 minutes 0.202 seconds)

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