演示Axes Divider

轴分割器用于计算轴的位置，并使用现有轴实例为它们创建分隔线。

演示Axes Divider示例

  1. import matplotlib.pyplot as plt
  4. def get_demo_image():
  5.     import numpy as np
  6.     from matplotlib.cbook import get_sample_data
  7.     f = get_sample_data("axes_grid/bivariate_normal.npy", asfileobj=False)
  8.     z = np.load(f)
  9.     # z is a numpy array of 15x15
  10.     return z, (-3, 4, -4, 3)
  13. def demo_simple_image(ax):
  14.     Z, extent = get_demo_image()
  16.     im = ax.imshow(Z, extent=extent, interpolation="nearest")
  17.     cb = plt.colorbar(im)
  18.     plt.setp(cb.ax.get_yticklabels(), visible=False)
  21. def demo_locatable_axes_hard(fig1):
  23.     from mpl_toolkits.axes_grid1 import SubplotDivider, Size
  24.     from mpl_toolkits.axes_grid1.mpl_axes import Axes
  26.     divider = SubplotDivider(fig1, 2, 2, 2, aspect=True)
  28.     # axes for image
  29.     ax = Axes(fig1, divider.get_position())
  31.     # axes for colorbar
  32.     ax_cb = Axes(fig1, divider.get_position())
  34.     h = [Size.AxesX(ax),  # main axes
  35.          Size.Fixed(0.05),  # padding, 0.1 inch
  36.          Size.Fixed(0.2),  # colorbar, 0.3 inch
  37.          ]
  39.     v = [Size.AxesY(ax)]
  41.     divider.set_horizontal(h)
  42.     divider.set_vertical(v)
  44.     ax.set_axes_locator(divider.new_locator(nx=0, ny=0))
  45.     ax_cb.set_axes_locator(divider.new_locator(nx=2, ny=0))
  47.     fig1.add_axes(ax)
  48.     fig1.add_axes(ax_cb)
  50.     ax_cb.axis["left"].toggle(all=False)
  51.     ax_cb.axis["right"].toggle(ticks=True)
  53.     Z, extent = get_demo_image()
  55.     im = ax.imshow(Z, extent=extent, interpolation="nearest")
  56.     plt.colorbar(im, cax=ax_cb)
  57.     plt.setp(ax_cb.get_yticklabels(), visible=False)
  60. def demo_locatable_axes_easy(ax):
  61.     from mpl_toolkits.axes_grid1 import make_axes_locatable
  63.     divider = make_axes_locatable(ax)
  65.     ax_cb = divider.new_horizontal(size="5%", pad=0.05)
  66.     fig1 = ax.get_figure()
  67.     fig1.add_axes(ax_cb)
  69.     Z, extent = get_demo_image()
  70.     im = ax.imshow(Z, extent=extent, interpolation="nearest")
  72.     plt.colorbar(im, cax=ax_cb)
  73.     ax_cb.yaxis.tick_right()
  74.     ax_cb.yaxis.set_tick_params(labelright=False)
  77. def demo_images_side_by_side(ax):
  78.     from mpl_toolkits.axes_grid1 import make_axes_locatable
  80.     divider = make_axes_locatable(ax)
  82.     Z, extent = get_demo_image()
  83.     ax2 = divider.new_horizontal(size="100%", pad=0.05)
  84.     fig1 = ax.get_figure()
  85.     fig1.add_axes(ax2)
  87.     ax.imshow(Z, extent=extent, interpolation="nearest")
  88.     ax2.imshow(Z, extent=extent, interpolation="nearest")
  89.     ax2.yaxis.set_tick_params(labelleft=False)
  92. def demo():
  94.     fig1 = plt.figure(1, (6, 6))
  95.     fig1.clf()
  97.     # PLOT 1
  98.     # simple image & colorbar
  99.     ax = fig1.add_subplot(2, 2, 1)
  100.     demo_simple_image(ax)
  102.     # PLOT 2
  103.     # image and colorbar whose location is adjusted in the drawing time.
  104.     # a hard way
  106.     demo_locatable_axes_hard(fig1)
  108.     # PLOT 3
  109.     # image and colorbar whose location is adjusted in the drawing time.
  110.     # a easy way
  112.     ax = fig1.add_subplot(2, 2, 3)
  113.     demo_locatable_axes_easy(ax)
  115.     # PLOT 4
  116.     # two images side by side with fixed padding.
  118.     ax = fig1.add_subplot(2, 2, 4)
  119.     demo_images_side_by_side(ax)
  121.     plt.show()
  124. demo()

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