Matplotview also works with matplotlib’s built in geographic projections.
7 import matplotlib.pyplot as plt
8 import numpy as np
9 from matplotview import view
10
11 x = np.linspace(-2.5, 2.5, 20)
12 y = np.linspace(-1, 1, 20)
13 circ_gen = lambda: plt.Circle((1.5, 0.25), 0.7, ec="black", fc="blue")
14
15 fig_test = plt.figure()
16
17 # Plot in 2 seperate geographic projections...
18 ax_t1 = fig_test.add_subplot(1, 2, 1, projection="hammer")
19 ax_t2 = fig_test.add_subplot(1, 2, 2, projection="lambert")
20
21 ax_t1.grid(True)
22 ax_t2.grid(True)
23
24 ax_t1.plot(x, y)
25 ax_t1.add_patch(circ_gen())
26
27 view(ax_t2, ax_t1)
28
29 fig_test.tight_layout()
30 fig_test.savefig("test7.png")
Total running time of the script: (0 minutes 0.897 seconds)
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