.. _pylab_examples-layer_images: pylab_examples example code: layer_images.py ============================================ .. plot:: /home/tcaswell/other_source/matplotlib/doc/mpl_examples/pylab_examples/layer_images.py :: #!/usr/bin/env python """ Layer images above one another using alpha blending """ from __future__ import division from pylab import * def func3(x,y): return (1- x/2 + x**5 + y**3)*exp(-x**2-y**2) # make these smaller to increase the resolution dx, dy = 0.05, 0.05 x = arange(-3.0, 3.0, dx) y = arange(-3.0, 3.0, dy) X,Y = meshgrid(x, y) # when layering multiple images, the images need to have the same # extent. This does not mean they need to have the same shape, but # they both need to render to the same coordinate system determined by # xmin, xmax, ymin, ymax. Note if you use different interpolations # for the images their apparent extent could be different due to # interpolation edge effects xmin, xmax, ymin, ymax = amin(x), amax(x), amin(y), amax(y) extent = xmin, xmax, ymin, ymax fig = plt.figure(frameon=False) Z1 = array(([0,1]*4 + [1,0]*4)*4); Z1.shape = 8,8 # chessboard im1 = imshow(Z1, cmap=cm.gray, interpolation='nearest', extent=extent) hold(True) Z2 = func3(X, Y) im2 = imshow(Z2, cmap=cm.jet, alpha=.9, interpolation='bilinear', extent=extent) #axis([xmin, xmax, ymin, ymax]) show() Keywords: python, matplotlib, pylab, example, codex (see :ref:`how-to-search-examples`)