Inset locator demo 2#

This demo shows how to create a zoomed inset via zoomed_inset_axes. In the first subplot an AnchoredSizeBar shows the zoom effect. In the second subplot a connection to the region of interest is created via mark_inset.

A version of the second subplot, not using the toolkit, is available in Zoom region inset axes.

inset locator demo2
import matplotlib.pyplot as plt
import numpy as np

from matplotlib import cbook
from mpl_toolkits.axes_grid1.anchored_artists import AnchoredSizeBar
from mpl_toolkits.axes_grid1.inset_locator import mark_inset, zoomed_inset_axes

fig, (ax, ax2) = plt.subplots(ncols=2, figsize=[6, 3])

# First subplot, showing an inset with a size bar.

axins = zoomed_inset_axes(ax, zoom=0.5, loc='upper right')
# fix the number of ticks on the inset axes
axins.tick_params(labelleft=False, labelbottom=False)

def add_sizebar(ax, size):
    asb = AnchoredSizeBar(ax.transData,
                          pad=0.1, borderpad=0.5, sep=5,

add_sizebar(ax, 0.5)
add_sizebar(axins, 0.5)

# Second subplot, showing an image with an inset zoom and a marked inset
Z = cbook.get_sample_data("axes_grid/bivariate_normal.npy")  # 15x15 array
extent = (-3, 4, -4, 3)
Z2 = np.zeros((150, 150))
ny, nx = Z.shape
Z2[30:30+ny, 30:30+nx] = Z

ax2.imshow(Z2, extent=extent, origin="lower")

axins2 = zoomed_inset_axes(ax2, zoom=6, loc=1)
axins2.imshow(Z2, extent=extent, origin="lower")

# subregion of the original image
x1, x2, y1, y2 = -1.5, -0.9, -2.5, -1.9
axins2.set_xlim(x1, x2)
axins2.set_ylim(y1, y2)
# fix the number of ticks on the inset axes
axins2.tick_params(labelleft=False, labelbottom=False)

# draw a bbox of the region of the inset axes in the parent axes and
# connecting lines between the bbox and the inset axes area
mark_inset(ax2, axins2, loc1=2, loc2=4, fc="none", ec="0.5")

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