Note
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View With Annotations¶
Matplotview’s views are also regular matplotlib Axes, meaning they support regular plotting on top of their viewing capabilities, allowing for annotations, as shown below.
10 # All the same as from the prior inset axes example...
11 from matplotlib import cbook
12 import matplotlib.pyplot as plt
13 import numpy as np
14 from matplotview import inset_zoom_axes
15
16
17 def get_demo_image():
18 z = cbook.get_sample_data("axes_grid/bivariate_normal.npy", np_load=True)
19 return z, (-3, 4, -4, 3)
20
21
22 fig, ax = plt.subplots()
23
24 Z, extent = get_demo_image()
25 Z2 = np.zeros((150, 150))
26 ny, nx = Z.shape
27 Z2[30:30 + ny, 30:30 + nx] = Z
28
29 ax.imshow(Z2, extent=extent, interpolation='nearest', origin="lower")
30
31 axins = inset_zoom_axes(ax, [0.5, 0.5, 0.47, 0.47])
32
33 x1, x2, y1, y2 = -1.5, -0.9, -2.5, -1.9
34 axins.set_xlim(x1, x2)
35 axins.set_ylim(y1, y2)
36
37 # We'll annotate the 'interesting' spot in the view....
38 axins.annotate(
39 "Interesting Feature", (-1.3, -2.25), (0.1, 0.1),
40 textcoords="axes fraction", arrowprops=dict(arrowstyle="->")
41 )
42
43 axins.set_xticklabels([])
44 axins.set_yticklabels([])
45
46 ax.indicate_inset_zoom(axins, edgecolor="black")
47
48 fig.show()
Total running time of the script: (0 minutes 0.200 seconds)