>>> """
================
Image Nonuniform
================

This illustrates the NonUniformImage class.  It is not
available via an Axes method but it is easily added to an
Axes instance as shown here.
"""
... 
... import numpy as np
... import matplotlib.pyplot as plt
... from matplotlib.image import NonUniformImage
... from matplotlib import cm
... 
... interp = 'nearest'
... 
... # Linear x array for cell centers:
... x = np.linspace(-4, 4, 9)
... 
... # Highly nonlinear x array:
... x2 = x**3
... 
... y = np.linspace(-4, 4, 9)
... 
... z = np.sqrt(x[np.newaxis, :]**2 + y[:, np.newaxis]**2)
... 
... fig, axs = plt.subplots(nrows=2, ncols=2, constrained_layout=True)
... fig.suptitle('NonUniformImage class', fontsize='large')
... ax = axs[0, 0]
... im = NonUniformImage(ax, interpolation=interp, extent=(-4, 4, -4, 4),
...                      cmap=cm.Purples)
... im.set_data(x, y, z)
... ax.add_image(im)
... ax.set_xlim(-4, 4)
... ax.set_ylim(-4, 4)
... ax.set_title(interp)
... 
... ax = axs[0, 1]
... im = NonUniformImage(ax, interpolation=interp, extent=(-64, 64, -4, 4),
...                      cmap=cm.Purples)
... im.set_data(x2, y, z)
... ax.add_image(im)
... ax.set_xlim(-64, 64)
... ax.set_ylim(-4, 4)
... ax.set_title(interp)
... 
... interp = 'bilinear'
... 
... ax = axs[1, 0]
... im = NonUniformImage(ax, interpolation=interp, extent=(-4, 4, -4, 4),
...                      cmap=cm.Purples)
... im.set_data(x, y, z)
... ax.add_image(im)
... ax.set_xlim(-4, 4)
... ax.set_ylim(-4, 4)
... ax.set_title(interp)
... 
... ax = axs[1, 1]
... im = NonUniformImage(ax, interpolation=interp, extent=(-64, 64, -4, 4),
...                      cmap=cm.Purples)
... im.set_data(x2, y, z)
... ax.add_image(im)
... ax.set_xlim(-64, 64)
... ax.set_ylim(-4, 4)
... ax.set_title(interp)
... 
... plt.show()
...