Note
Click here to download the full example code
This example shows how to control the position, height, and width of
colorbars using inset_axes
.
Controlling the placement of the inset axes is done similarly as that of the legend: either by providing a location option ("upper right", "best", ...), or by providing a locator with respect to the parent bbox.
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])
axins1 = inset_axes(ax1,
width="50%", # width = 50% of parent_bbox width
height="5%", # height : 5%
loc='upper right')
im1 = ax1.imshow([[1, 2], [2, 3]])
fig.colorbar(im1, cax=axins1, orientation="horizontal", ticks=[1, 2, 3])
axins1.xaxis.set_ticks_position("bottom")
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,
)
# Controlling the placement of the inset axes is basically same as that
# of the legend. you may want to play with the borderpad value and
# the bbox_to_anchor coordinate.
im = ax2.imshow([[1, 2], [2, 3]])
fig.colorbar(im, cax=axins, ticks=[1, 2, 3])
plt.show()
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