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# Demo Edge Colorbar

    import matplotlib.pyplot as plt
    from mpl_toolkits.axes_grid1 import AxesGrid

    def get_demo_image():
        import numpy as np
        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 demo_bottom_cbar(fig):
        """
        A grid of 2x2 images with a colorbar for each column.
        """
        grid = AxesGrid(fig, 121,  # similar to subplot(132)
                        nrows_ncols=(2, 2),
                        axes_pad=0.10,
                        share_all=True,
                        label_mode="1",
                        cbar_location="bottom",
                        cbar_mode="edge",
                        cbar_pad=0.25,
                        cbar_size="15%",
                        direction="column"
                        )

        Z, extent = get_demo_image()
        cmaps = [plt.get_cmap("autumn"), plt.get_cmap("summer")]
        for i in range(4):
            im = grid[i].imshow(Z, extent=extent, interpolation="nearest",
                                cmap=cmaps[i//2])
            if i % 2:
                cbar = grid.cbar_axes[i//2].colorbar(im)

        for cax in grid.cbar_axes:
            cax.toggle_label(True)
            cax.axis[cax.orientation].set_label("Bar")

        # This affects all axes as share_all = True.
        grid.axes_llc.set_xticks([-2, 0, 2])
        grid.axes_llc.set_yticks([-2, 0, 2])

    def demo_right_cbar(fig):
        """
        A grid of 2x2 images. Each row has its own colorbar.
        """

        grid = AxesGrid(F, 122,  # similar to subplot(122)
                        nrows_ncols=(2, 2),
                        axes_pad=0.10,
                        label_mode="1",
                        share_all=True,
                        cbar_location="right",
                        cbar_mode="edge",
                        cbar_size="7%",
                        cbar_pad="2%",
                        )
        Z, extent = get_demo_image()
        cmaps = [plt.get_cmap("spring"), plt.get_cmap("winter")]
        for i in range(4):
            im = grid[i].imshow(Z, extent=extent, interpolation="nearest",
                                cmap=cmaps[i//2])
            if i % 2:
                grid.cbar_axes[i//2].colorbar(im)

        for cax in grid.cbar_axes:
            cax.toggle_label(True)
            cax.axis[cax.orientation].set_label('Foo')

        # This affects all axes because we set share_all = True.
        grid.axes_llc.set_xticks([-2, 0, 2])
        grid.axes_llc.set_yticks([-2, 0, 2])

    if 1:
        F = plt.figure(1, (5.5, 2.5))

        F.subplots_adjust(left=0.05, right=0.93)

        demo_bottom_cbar(F)
        demo_right_cbar(F)

        plt.draw()
        plt.show()

Total running time of the script: ( 0 minutes 0.748 seconds)

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