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# Demo Axes Grid

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

    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_simple_grid(fig):
        """
        A grid of 2x2 images with 0.05 inch pad between images and only
        the lower-left axes is labeled.
        """
        grid = ImageGrid(fig, 141,  # similar to subplot(141)
                         nrows_ncols=(2, 2),
                         axes_pad=0.05,
                         label_mode="1",
                         )

        Z, extent = get_demo_image()
        for i in range(4):
            im = grid[i].imshow(Z, extent=extent, interpolation="nearest")

        # This only affects axes in first column and second row as share_all =
        # False.
        grid.axes_llc.set_xticks([-2, 0, 2])
        grid.axes_llc.set_yticks([-2, 0, 2])

    def demo_grid_with_single_cbar(fig):
        """
        A grid of 2x2 images with a single colorbar
        """
        grid = ImageGrid(fig, 142,  # similar to subplot(142)
                         nrows_ncols=(2, 2),
                         axes_pad=0.0,
                         share_all=True,
                         label_mode="L",
                         cbar_location="top",
                         cbar_mode="single",
                         )

        Z, extent = get_demo_image()
        for i in range(4):
            im = grid[i].imshow(Z, extent=extent, interpolation="nearest")
        grid.cbar_axes[0].colorbar(im)

        for cax in grid.cbar_axes:
            cax.toggle_label(False)

        # 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_grid_with_each_cbar(fig):
        """
        A grid of 2x2 images. Each image has its own colorbar.
        """

        grid = ImageGrid(fig, 143,  # similar to subplot(143)
                         nrows_ncols=(2, 2),
                         axes_pad=0.1,
                         label_mode="1",
                         share_all=True,
                         cbar_location="top",
                         cbar_mode="each",
                         cbar_size="7%",
                         cbar_pad="2%",
                         )
        Z, extent = get_demo_image()
        for i in range(4):
            im = grid[i].imshow(Z, extent=extent, interpolation="nearest")
            grid.cbar_axes[i].colorbar(im)

        for cax in grid.cbar_axes:
            cax.toggle_label(False)

        # 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])

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

        grid = ImageGrid(fig, 144,  # similar to subplot(144)
                         nrows_ncols=(2, 2),
                         axes_pad=(0.45, 0.15),
                         label_mode="1",
                         share_all=True,
                         cbar_location="right",
                         cbar_mode="each",
                         cbar_size="7%",
                         cbar_pad="2%",
                         )
        Z, extent = get_demo_image()

        # Use a different colorbar range every time
        limits = ((0, 1), (-2, 2), (-1.7, 1.4), (-1.5, 1))
        for i in range(4):
            im = grid[i].imshow(Z, extent=extent, interpolation="nearest",
                                vmin=limits[i][0], vmax=limits[i][1])
            grid.cbar_axes[i].colorbar(im)

        for i, cax in enumerate(grid.cbar_axes):
            cax.set_yticks((limits[i][0], limits[i][1]))

        # 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, (10.5, 2.5))

        F.subplots_adjust(left=0.05, right=0.95)

        demo_simple_grid(F)
        demo_grid_with_single_cbar(F)
        demo_grid_with_each_cbar(F)
        demo_grid_with_each_cbar_labelled(F)

        plt.draw()
        plt.show()

Total running time of the script: ( 0 minutes 1.383 seconds)

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