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# Demo Axes RGB

    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, ax = plt.subplots()
        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()

Total running time of the script: ( 0 minutes 1.545 seconds)

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