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Note Go to the end to download the full example code. Controlling the position and size of colorbars with Inset Axes#This example shows how to control the position, height, and width of colorbars using inset_axes. Inset Axes placement is controlled as for legends: either by providing a loc option ("upper right", "best", ...), or by providing a locator with respect to the parent bbox. Parameters such as bbox_to_anchor and borderpad likewise work in the same way, and are also demonstrated here. Users should consider using Axes.inset_axes instead (see Placing colorbars). import matplotlib.pyplot as plt from mpl_toolkits.axes_grid1.inset_locator import inset_axes fig, (ax1, ax2) = plt.subplots(1, 2, figsize=[6, 3]) im1 = ax1.imshow([[1, 2], [2, 3]]) axins1 = inset_axes( ax1, width="50%", # width: 50% of parent_bbox width height="5%", # height: 5% loc="upper right", ) axins1.xaxis.set_ticks_position("bottom") fig.colorbar(im1, cax=axins1, orientation="horizontal", ticks=[1, 2, 3]) im = ax2.imshow([[1, 2], [2, 3]]) axins = inset_axes( ax2, width="5%", # width: 5% of parent_bbox width height="50%", # height: 50% loc="lower left", bbox_to_anchor=(1.05, 0., 1, 1), bbox_transform=ax2.transAxes, borderpad=0, ) fig.colorbar(im, cax=axins, ticks=[1, 2, 3]) plt.show()Download Jupyter notebook: demo_colorbar_with_inset_locator.ipynb Download Python source code: demo_colorbar_with_inset_locator.py Gallery generated by Sphinx-Gallery |
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