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# Demo Axes Grid2

    import matplotlib.pyplot as plt
    from mpl_toolkits.axes_grid1 import ImageGrid
    import numpy as np

    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 add_inner_title(ax, title, loc, size=None, **kwargs):
        from matplotlib.offsetbox import AnchoredText
        from matplotlib.patheffects import withStroke
        if size is None:
            size = dict(size=plt.rcParams['legend.fontsize'])
        at = AnchoredText(title, loc=loc, prop=size,
                          pad=0., borderpad=0.5,
                          frameon=False, **kwargs)
        ax.add_artist(at)
        at.txt._text.set_path_effects([withStroke(foreground="w", linewidth=3)])
        return at

    if 1:
        F = plt.figure(1, (6, 6))
        F.clf()

        # prepare images
        Z, extent = get_demo_image()
        ZS = [Z[i::3, :] for i in range(3)]
        extent = extent[0], extent[1]/3., extent[2], extent[3]

        # demo 1 : colorbar at each axes

        grid = ImageGrid(F, 211,  # similar to subplot(111)
                         nrows_ncols=(1, 3),
                         direction="row",
                         axes_pad=0.05,
                         add_all=True,
                         label_mode="1",
                         share_all=True,
                         cbar_location="top",
                         cbar_mode="each",
                         cbar_size="7%",
                         cbar_pad="1%",
                         )

        for ax, z in zip(grid, ZS):
            im = ax.imshow(
                z, origin="lower", extent=extent, interpolation="nearest")
            ax.cax.colorbar(im)

        for ax, im_title in zip(grid, ["Image 1", "Image 2", "Image 3"]):
            t = add_inner_title(ax, im_title, loc=3)
            t.patch.set_alpha(0.5)

        for ax, z in zip(grid, ZS):
            ax.cax.toggle_label(True)
            #axis = ax.cax.axis[ax.cax.orientation]
            #axis.label.set_text("counts s$^{-1}$")
            #axis.label.set_size(10)
            #axis.major_ticklabels.set_size(6)

        # changing the colorbar ticks
        grid[1].cax.set_xticks([-1, 0, 1])
        grid[2].cax.set_xticks([-1, 0, 1])

        grid[0].set_xticks([-2, 0])
        grid[0].set_yticks([-2, 0, 2])

        # demo 2 : shared colorbar

        grid2 = ImageGrid(F, 212,
                          nrows_ncols=(1, 3),
                          direction="row",
                          axes_pad=0.05,
                          add_all=True,
                          label_mode="1",
                          share_all=True,
                          cbar_location="right",
                          cbar_mode="single",
                          cbar_size="10%",
                          cbar_pad=0.05,
                          )

        grid2[0].set_xlabel("X")
        grid2[0].set_ylabel("Y")

        vmax, vmin = np.max(ZS), np.min(ZS)
        import matplotlib.colors
        norm = matplotlib.colors.Normalize(vmax=vmax, vmin=vmin)

        for ax, z in zip(grid2, ZS):
            im = ax.imshow(z, norm=norm,
                           origin="lower", extent=extent,
                           interpolation="nearest")

        # With cbar_mode="single", cax attribute of all axes are identical.
        ax.cax.colorbar(im)
        ax.cax.toggle_label(True)

        for ax, im_title in zip(grid2, ["(a)", "(b)", "(c)"]):
            t = add_inner_title(ax, im_title, loc=2)
            t.patch.set_ec("none")
            t.patch.set_alpha(0.5)

        grid2[0].set_xticks([-2, 0])
        grid2[0].set_yticks([-2, 0, 2])

        plt.draw()
        plt.show()

Total running time of the script: ( 0 minutes 0.744 seconds)

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