使用插入定位器演示Colorbar

使用插入定位器演示Colorbar

  1. import matplotlib.pyplot as plt
  3. from mpl_toolkits.axes_grid1.inset_locator import inset_axes
  5. fig, (ax1, ax2) = plt.subplots(1, 2, figsize=[6, 3])
  7. axins1 = inset_axes(ax1,
  8.                     width="50%",  # width = 10% of parent_bbox width
  9.                     height="5%",  # height : 50%
  10.                     loc='upper right')
  12. im1 = ax1.imshow([[1, 2], [2, 3]])
  13. plt.colorbar(im1, cax=axins1, orientation="horizontal", ticks=[1, 2, 3])
  14. axins1.xaxis.set_ticks_position("bottom")
  16. axins = inset_axes(ax2,
  17.                    width="5%",  # width = 10% of parent_bbox width
  18.                    height="50%",  # height : 50%
  19.                    loc='lower left',
  20.                    bbox_to_anchor=(1.05, 0., 1, 1),
  21.                    bbox_transform=ax2.transAxes,
  22.                    borderpad=0,
  23.                    )
  25. # Controlling the placement of the inset axes is basically same as that
  26. # of the legend.  you may want to play with the borderpad value and
  27. # the bbox_to_anchor coordinate.
  29. im = ax2.imshow([[1, 2], [2, 3]])
  30. plt.colorbar(im, cax=axins, ticks=[1, 2, 3])
  32. plt.show()

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