text: import matplotlib.pyplot as plt
  from mpl_toolkits.axes_grid1 import ImageGrid
  
  
  def get_demo_image():
      import numpy as np
      from matplotlib.cbook import get_sample_data
      f = get_sample_data("axes_grid/bivariate_normal.npy", asfileobj=False)
      z = np.load(f)
      # z is a numpy array of 15x15
      return z, (-3, 4, -4, 3)
  
  F = plt.figure(1, (5.5, 3.5))
  grid = ImageGrid(F, 111,  # similar to subplot(111)
                   nrows_ncols=(1, 3),
                   axes_pad=0.1,
                   add_all=True,
                   label_mode="L",
                   )
  
  Z, extent = get_demo_image()  # demo image
  
  im1 = Z
  im2 = Z[:, :10]
  im3 = Z[:, 10:]
  vmin, vmax = Z.min(), Z.max()
  for i, im in enumerate([im1, im2, im3]):
      ax = grid[i]
      ax.imshow(im, origin="lower", vmin=vmin,
                vmax=vmax, interpolation="nearest")
  
  plt.draw()
  plt.show()
  