.. _axes_grid-demo_axes_rgb: axes_grid example code: demo_axes_rgb.py ======================================== .. plot:: /home/mdboom/Work/builds/matplotlib/doc/mpl_examples/axes_grid/demo_axes_rgb.py :: import numpy as np import matplotlib.pyplot as plt from mpl_toolkits.axes_grid1.axes_rgb import make_rgb_axes, RGBAxes def get_demo_image(): 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) def get_rgb(): Z, extent = get_demo_image() Z[Z<0] = 0. Z = Z/Z.max() R = Z[:13,:13] G = Z[2:,2:] B = Z[:13,2:] return R, G, B def make_cube(r, g, b): ny, nx = r.shape R = np.zeros([ny, nx, 3], dtype="d") R[:,:,0] = r G = np.zeros_like(R) G[:,:,1] = g B = np.zeros_like(R) B[:,:,2] = b RGB = R + G + B return R, G, B, RGB def demo_rgb(): fig = plt.figure(1) fig.clf() ax = fig.add_subplot(111) ax_r, ax_g, ax_b = make_rgb_axes(ax, pad=0.02) #fig.add_axes(ax_r) #fig.add_axes(ax_g) #fig.add_axes(ax_b) r, g, b = get_rgb() im_r, im_g, im_b, im_rgb = make_cube(r, g, b) kwargs = dict(origin="lower", interpolation="nearest") ax.imshow(im_rgb, **kwargs) ax_r.imshow(im_r, **kwargs) ax_g.imshow(im_g, **kwargs) ax_b.imshow(im_b, **kwargs) def demo_rgb2(): fig = plt.figure(2) ax = RGBAxes(fig, [0.1, 0.1, 0.8, 0.8], pad=0.0) #fig.add_axes(ax) #ax.add_RGB_to_figure() r, g, b = get_rgb() kwargs = dict(origin="lower", interpolation="nearest") ax.imshow_rgb(r, g, b, **kwargs) ax.RGB.set_xlim(0., 9.5) ax.RGB.set_ylim(0.9, 10.6) for ax1 in [ax.RGB, ax.R, ax.G, ax.B]: for sp1 in ax1.spines.values(): sp1.set_color("w") for tick in ax1.xaxis.get_major_ticks() + ax1.yaxis.get_major_ticks(): tick.tick1line.set_mec("w") tick.tick2line.set_mec("w") return ax demo_rgb() ax = demo_rgb2() plt.show() Keywords: python, matplotlib, pylab, example, codex (see :ref:`how-to-search-examples`)