.. _pylab_examples-image_nonuniform: pylab_examples example code: image_nonuniform.py ================================================ .. plot:: /home/tcaswell/source/p/matplotlib/doc/mpl_examples/pylab_examples/image_nonuniform.py :: ''' 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) fig.subplots_adjust(bottom=0.07, hspace=0.3) 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.images.append(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.images.append(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.images.append(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.images.append(im) ax.set_xlim(-64, 64) ax.set_ylim(-4, 4) ax.set_title(interp) plt.show() Keywords: python, matplotlib, pylab, example, codex (see :ref:`how-to-search-examples`)