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()

