2.6.8.4. Image manipulation and NumPy arraysΒΆ

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

plot numpy array
import numpy as np
import scipy as sp
import matplotlib.pyplot as plt
face = sp.datasets.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 0.161 seconds)

Gallery generated by Sphinx-Gallery