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軸ディバイダ#
軸の位置を計算し、既存の軸インスタンスを使用してそれらの分割線を作成するための軸分割線。
from matplotlib import cbook
import matplotlib.pyplot as plt
def get_demo_image():
z = cbook.get_sample_data("axes_grid/bivariate_normal.npy", np_load=True)
# 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)
cb = plt.colorbar(im)
cb.ax.yaxis.set_tick_params(labelright=False)
def demo_locatable_axes_hard(fig):
from mpl_toolkits.axes_grid1 import SubplotDivider, Size
from mpl_toolkits.axes_grid1.mpl_axes import Axes
divider = SubplotDivider(fig, 2, 2, 2, aspect=True)
# axes for image
ax = fig.add_axes(divider.get_position(), axes_class=Axes)
# axes for colorbar
# (the label prevents Axes.add_axes from incorrectly believing that the two
# axes are the same)
ax_cb = fig.add_axes(divider.get_position(), axes_class=Axes, label="cb")
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))
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)
plt.colorbar(im, cax=ax_cb)
ax_cb.yaxis.set_tick_params(labelright=False)
def demo_locatable_axes_easy(ax):
from mpl_toolkits.axes_grid1 import make_axes_locatable
divider = make_axes_locatable(ax)
ax_cb = divider.append_axes("right", size="5%", pad=0.05)
fig = ax.get_figure()
fig.add_axes(ax_cb)
Z, extent = get_demo_image()
im = ax.imshow(Z, extent=extent)
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.append_axes("right", size="100%", pad=0.05)
fig1 = ax.get_figure()
fig1.add_axes(ax2)
ax.imshow(Z, extent=extent)
ax2.imshow(Z, extent=extent)
ax2.yaxis.set_tick_params(labelleft=False)
def demo():
fig = plt.figure(figsize=(6, 6))
# PLOT 1
# simple image & colorbar
ax = fig.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(fig)
# PLOT 3
# image and colorbar whose location is adjusted in the drawing time.
# a easy way
ax = fig.add_subplot(2, 2, 3)
demo_locatable_axes_easy(ax)
# PLOT 4
# two images side by side with fixed padding.
ax = fig.add_subplot(2, 2, 4)
demo_images_side_by_side(ax)
plt.show()
demo()