You are reading documentation for the unreleased version of Matplotlib. Try searching for the released version of this page instead?
Applications are open for the 2018 John Hunter Matplotlib Summer Fellowship. Apply now!
Version 2.2.2.post1754+g0766e5365
matplotlib
Fork me on GitHub

Related Topics

Demo Axes DividerΒΆ

Axes divider to calculate location of axes and create a divider for them using existing axes instances.

../../_images/sphx_glr_demo_axes_divider_001.png
import matplotlib.pyplot as plt


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_image(ax):
    Z, extent = get_demo_image()

    im = ax.imshow(Z, extent=extent, interpolation="nearest")
    cb = plt.colorbar(im)
    plt.setp(cb.ax.get_yticklabels(), visible=False)


def demo_locatable_axes_hard(fig1):

    from mpl_toolkits.axes_grid1 \
        import SubplotDivider, LocatableAxes, Size

    divider = SubplotDivider(fig1, 2, 2, 2, aspect=True)

    # axes for image
    ax = LocatableAxes(fig1, divider.get_position())

    # axes for colorbar
    ax_cb = LocatableAxes(fig1, divider.get_position())

    h = [Size.AxesX(ax),  # main axes
         Size.Fixed(0.05),  # padding, 0.1 inch
         Size.Fixed(0.2),  # colorbar, 0.3 inch
         ]

    v = [Size.AxesY(ax)]

    divider.set_horizontal(h)
    divider.set_vertical(v)

    ax.set_axes_locator(divider.new_locator(nx=0, ny=0))
    ax_cb.set_axes_locator(divider.new_locator(nx=2, ny=0))

    fig1.add_axes(ax)
    fig1.add_axes(ax_cb)

    ax_cb.axis["left"].toggle(all=False)
    ax_cb.axis["right"].toggle(ticks=True)

    Z, extent = get_demo_image()

    im = ax.imshow(Z, extent=extent, interpolation="nearest")
    plt.colorbar(im, cax=ax_cb)
    plt.setp(ax_cb.get_yticklabels(), visible=False)


def demo_locatable_axes_easy(ax):
    from mpl_toolkits.axes_grid1 import make_axes_locatable

    divider = make_axes_locatable(ax)

    ax_cb = divider.new_horizontal(size="5%", pad=0.05)
    fig1 = ax.get_figure()
    fig1.add_axes(ax_cb)

    Z, extent = get_demo_image()
    im = ax.imshow(Z, extent=extent, interpolation="nearest")

    plt.colorbar(im, cax=ax_cb)
    ax_cb.yaxis.tick_right()
    ax_cb.yaxis.set_tick_params(labelright=False)


def demo_images_side_by_side(ax):
    from mpl_toolkits.axes_grid1 import make_axes_locatable

    divider = make_axes_locatable(ax)

    Z, extent = get_demo_image()
    ax2 = divider.new_horizontal(size="100%", pad=0.05)
    fig1 = ax.get_figure()
    fig1.add_axes(ax2)

    ax.imshow(Z, extent=extent, interpolation="nearest")
    ax2.imshow(Z, extent=extent, interpolation="nearest")
    ax2.yaxis.set_tick_params(labelleft=False)


def demo():

    fig1 = plt.figure(1, (6, 6))
    fig1.clf()

    # PLOT 1
    # simple image & colorbar
    ax = fig1.add_subplot(2, 2, 1)
    demo_simple_image(ax)

    # PLOT 2
    # image and colorbar whose location is adjusted in the drawing time.
    # a hard way

    demo_locatable_axes_hard(fig1)

    # PLOT 3
    # image and colorbar whose location is adjusted in the drawing time.
    # a easy way

    ax = fig1.add_subplot(2, 2, 3)
    demo_locatable_axes_easy(ax)

    # PLOT 4
    # two images side by side with fixed padding.

    ax = fig1.add_subplot(2, 2, 4)
    demo_images_side_by_side(ax)

    plt.show()


demo()

Keywords: matplotlib code example, codex, python plot, pyplot Gallery generated by Sphinx-Gallery