Plotting PXRD patterns¶
This notebook contains a quick example of PXRD plotting from a cif file, using the matador API directly. The pxrd_calculator script bundled with matador may be a more useful entry point.
[1]:
from matador.scrapers import cif2dict
from matador.crystal import Crystal
[2]:
crystal = Crystal(cif2dict("test.cif")[0])
print(crystal)
Ag6Bi8I32: test
===============
64 atoms. Fd-3m
(a, b, c) = 12.2227 Å, 12.2227 Å, 12.2227 Å
(α, β, γ) = 90.0000° 90.0000° 90.0000°
[3]:
# plot with default settings
crystal.pxrd.plot()
System has partial occupancy, not refining with spglib.
[4]:
# plot with full function that can control all settings and plot multiple phases
from matador.plotting import plot_pxrd
plot_pxrd(
[crystal.pxrd, crystal.pxrd, crystal.pxrd],
rug=True,
text_offset=0.3,
)
[5]:
# print the peaks and planes that generated the particular peaks, with no grouping
print(" 2θ <hkl>")
for peak, hkl in zip(crystal.pxrd.peak_positions, crystal.pxrd.hkls):
hkl_str = ' '.join(["{: d}".format(int(ind)) for ind in hkl])
print(f"{peak:1.3f}\t {hkl_str}")
2θ <hkl>
7.227 0 1 0
7.227 0 0 1
7.227 0 0 -1
7.227 -1 0 0
7.227 0 -1 0
7.227 1 0 0
10.227 1 0 -1
10.227 -1 0 1
10.227 -1 1 0
10.227 0 -1 -1
10.227 -1 -1 0
10.227 0 -1 1
10.227 0 1 -1
10.227 1 1 0
10.227 0 1 1
10.227 1 0 1
10.227 1 -1 0
10.227 -1 0 -1
12.533 1 -1 -1
12.533 -1 -1 1
12.533 1 -1 1
12.533 -1 1 -1
12.533 -1 1 1
12.533 1 1 -1
12.533 -1 -1 -1
12.533 1 1 1
14.482 0 0 -2
14.482 0 -2 0
14.482 -2 0 0
14.482 0 2 0
14.482 2 0 0
14.482 0 0 2
16.202 -2 -1 0
16.202 -2 0 1
16.202 -2 0 -1
16.202 2 0 -1
16.202 1 0 2
16.202 1 -2 0
16.202 2 0 1
16.202 0 2 1
16.202 -1 2 0
16.202 1 0 -2
16.202 2 1 0
16.202 0 2 -1
16.202 0 1 2
16.202 0 -2 1
16.202 2 -1 0
16.202 -1 0 2
16.202 -1 0 -2
16.202 1 2 0
16.202 0 -2 -1
16.202 -1 -2 0
16.202 0 -1 2
16.202 0 1 -2
16.202 -2 1 0
16.202 0 -1 -2
17.761 -1 1 -2
17.761 1 -1 -2
17.761 1 1 -2
17.761 -1 -1 -2
17.761 1 1 2
17.761 1 -1 2
17.761 -1 1 2
17.761 -1 -1 2
17.761 -2 1 1
17.761 -1 2 -1
17.761 -1 -2 1
17.761 2 -1 -1
17.761 -1 -2 -1
17.761 -1 2 1
17.761 2 1 1
17.761 -2 1 -1
17.761 -2 -1 1
17.761 -2 -1 -1
17.761 2 1 -1
17.761 1 2 -1
17.761 1 -2 -1
17.761 1 -2 1
17.761 1 2 1
17.761 2 -1 1
20.536 2 -2 0
20.536 2 0 -2
20.536 2 0 2
20.536 2 2 0
20.536 0 -2 -2
20.536 0 2 -2
20.536 -2 -2 0
20.536 0 2 2
20.536 -2 0 -2
20.536 -2 0 2
20.536 0 -2 2
20.536 -2 2 0
21.797 -1 2 2
21.797 0 3 0
21.797 -2 1 2
21.797 -2 1 -2
21.797 1 -2 -2
21.797 2 -1 2
21.797 -2 -1 -2
21.797 -2 2 1
21.797 -1 -2 -2
21.797 2 -2 1
21.797 -2 -1 2
21.797 1 -2 2
21.797 -2 2 -1
21.797 2 -1 -2
21.797 2 2 1
21.797 0 -3 0
21.797 0 0 3
21.797 2 -2 -1
21.797 2 1 2
21.797 1 2 2
21.797 1 2 -2
21.797 3 0 0
21.797 0 0 -3
21.797 -2 -2 -1
21.797 -1 2 -2
21.797 -3 0 0
21.797 2 1 -2
21.797 -2 -2 1
21.797 2 2 -1
21.797 -1 -2 2
22.991 -3 -1 0
22.991 3 -1 0
22.991 -3 0 1
22.991 0 1 -3
22.991 -3 1 0
22.991 -3 0 -1
22.991 -1 -3 0
22.991 1 -3 0
22.991 0 1 3
22.991 1 0 3
22.991 0 3 1
22.991 0 -1 3
22.991 0 -3 1
22.991 3 0 -1
22.991 -1 0 -3
22.991 0 3 -1
22.991 3 1 0
22.991 0 -1 -3
22.991 3 0 1
22.991 1 0 -3
22.991 0 -3 -1
22.991 1 3 0
22.991 -1 3 0
22.991 -1 0 3
24.130 3 -1 1
24.130 -1 3 1
24.130 1 -3 1
24.130 1 -3 -1
24.130 -3 -1 1
24.130 -3 1 -1
24.130 3 -1 -1
24.130 -1 3 -1
24.130 -3 1 1
24.130 1 3 -1
24.130 -1 -3 -1
24.130 3 1 -1
24.130 3 1 1
24.130 1 3 1
24.130 -1 -3 1
24.130 -3 -1 -1
24.130 1 1 -3
24.130 -1 -1 3
24.130 -1 1 -3
24.130 1 -1 3
24.130 1 -1 -3
24.130 -1 1 3
24.130 -1 -1 -3
24.130 1 1 3
25.220 -2 2 2
25.220 2 2 2
25.220 2 2 -2
25.220 -2 2 -2
25.220 2 -2 2
25.220 2 -2 -2
25.220 -2 -2 2
25.220 -2 -2 -2
26.268 3 2 0
26.268 0 3 -2
26.268 3 0 -2
26.268 2 3 0
26.268 0 -2 3
26.268 -3 0 -2
26.268 0 2 -3
26.268 -2 -3 0
26.268 3 -2 0
26.268 0 2 3
26.268 -2 0 3
26.268 -3 -2 0
26.268 -3 0 2
26.268 0 -2 -3
26.268 2 -3 0
26.268 2 0 -3
26.268 -2 0 -3
26.268 0 -3 -2
26.268 -3 2 0
26.268 -2 3 0
26.268 0 -3 2
26.268 3 0 2
26.268 0 3 2
26.268 2 0 3
27.278 1 2 3
27.278 -2 1 3
27.278 -1 3 2
27.278 -1 3 -2
27.278 1 3 -2
27.278 -1 2 3
27.278 3 1 -2
27.278 -2 1 -3
27.278 2 -1 -3
27.278 -2 3 -1
27.278 -1 -2 3
27.278 -1 -3 -2
27.278 -1 -3 2
27.278 -1 2 -3
27.278 -1 -2 -3
27.278 3 2 1
27.278 3 2 -1
27.278 2 -3 1
27.278 3 1 2
27.278 1 3 2
27.278 1 2 -3
27.278 -2 3 1
27.278 3 -1 2
27.278 -3 -2 -1
27.278 -3 1 2
27.278 -3 -2 1
27.278 -3 -1 -2
27.278 -2 -1 3
27.278 -3 -1 2
27.278 -2 -1 -3
27.278 -3 2 -1
27.278 -2 -3 1
27.278 -3 1 -2
27.278 -2 -3 -1
27.278 2 1 3
27.278 -3 2 1
27.278 2 3 1
27.278 2 -3 -1
27.278 2 -1 3
27.278 3 -2 -1
27.278 1 -2 3
27.278 2 3 -1
27.278 1 -2 -3
27.278 1 -3 2
27.278 1 -3 -2
27.278 3 -2 1
27.278 2 1 -3
27.278 3 -1 -2
29.202 0 0 4
29.202 0 0 -4
29.202 -4 0 0
29.202 4 0 0
29.202 0 4 0
29.202 0 -4 0
30.122 2 2 3
30.122 -1 -4 0
30.122 -2 3 2
30.122 3 2 2
30.122 3 2 -2
30.122 -2 3 -2
30.122 0 4 -1
30.122 -1 0 -4
30.122 -2 2 3
30.122 -2 2 -3
30.122 -1 0 4
30.122 -2 -2 -3
30.122 3 -2 -2
30.122 0 4 1
30.122 -3 -2 2
30.122 -3 2 2
30.122 -3 -2 -2
30.122 -1 4 0
30.122 2 3 2
30.122 2 3 -2
30.122 -2 -2 3
30.122 -4 -1 0
30.122 3 -2 2
30.122 0 -4 -1
30.122 2 -3 2
30.122 0 1 -4
30.122 2 2 -3
30.122 0 -4 1
30.122 -4 0 -1
30.122 -4 0 1
30.122 2 -2 3
30.122 2 -2 -3
30.122 0 1 4
30.122 -2 -3 2
30.122 -4 1 0
30.122 -2 -3 -2
30.122 2 -3 -2
30.122 1 4 0
30.122 0 -1 4
30.122 4 1 0
30.122 -3 2 -2
30.122 1 0 -4
30.122 0 -1 -4
30.122 4 0 -1
30.122 4 0 1
30.122 4 -1 0
30.122 1 -4 0
30.122 1 0 4
31.017 -3 0 -3
31.017 -3 3 0
31.017 3 -3 0
31.017 0 3 3
31.017 -3 0 3
31.017 -3 -3 0
31.017 0 -3 3
31.017 3 0 3
31.017 0 3 -3
31.017 3 3 0
31.017 3 0 -3
31.017 0 -3 -3
31.017 1 4 1
31.017 1 -4 1
31.017 1 -4 -1
31.017 1 -1 -4
31.017 1 -1 4
31.017 -4 -1 -1
31.017 1 1 -4
31.017 1 1 4
31.017 -4 -1 1
31.017 -1 1 -4
31.017 -4 1 1
31.017 -4 1 -1
31.017 4 -1 -1
31.017 -1 4 1
31.017 4 1 -1
31.017 4 1 1
31.017 -1 4 -1
31.017 4 -1 1
31.017 -1 -1 4
31.017 -1 -1 -4
31.017 -1 -4 1
31.017 -1 -4 -1
31.017 1 4 -1
31.017 -1 1 4
31.889 1 3 3
31.889 -3 -1 3
31.889 -3 1 -3
31.889 -3 1 3
31.889 -3 -3 -1
31.889 -3 3 1
31.889 1 -3 3
31.889 1 -3 -3
31.889 -3 3 -1
31.889 -3 -3 1
31.889 -3 -1 -3
31.889 1 3 -3
31.889 -1 3 3
31.889 3 3 1
31.889 -1 -3 -3
31.889 -1 -3 3
31.889 3 -3 -1
31.889 3 3 -1
31.889 3 -1 3
31.889 3 -1 -3
31.889 -1 3 -3
31.889 3 1 -3
31.889 3 -3 1
31.889 3 1 3
32.741 2 -4 0
32.741 -4 0 -2
32.741 -2 4 0
32.741 -4 0 2
32.741 -2 0 -4
32.741 -2 -4 0
32.741 -4 -2 0
32.741 -2 0 4
32.741 0 -4 -2
32.741 4 -2 0
32.741 2 0 -4
32.741 -4 2 0
32.741 0 -2 -4
32.741 2 0 4
32.741 0 2 4
32.741 0 2 -4
32.741 0 4 2
32.741 0 -4 2
32.741 0 4 -2
32.741 4 0 2
32.741 0 -2 4
32.741 2 4 0
32.741 4 2 0
32.741 4 0 -2
33.573 -1 -4 -2
33.573 -1 -2 -4
33.573 1 2 4
33.573 -2 4 1
33.573 -1 -4 2
33.573 1 2 -4
33.573 1 4 2
33.573 -2 4 -1
33.573 2 -4 -1
33.573 -4 1 2
33.573 2 -1 -4
33.573 -2 1 -4
33.573 -1 -2 4
33.573 1 -2 4
33.573 -1 2 4
33.573 -1 2 -4
33.573 -2 1 4
33.573 1 -4 2
33.573 -2 -4 -1
33.573 -4 1 -2
33.573 1 -2 -4
33.573 -4 2 1
33.573 2 -4 1
33.573 1 -4 -2
33.573 4 -1 -2
33.573 2 -1 4
33.573 4 2 1
33.573 -4 -1 2
33.573 -1 4 2
33.573 2 1 4
33.573 -2 -1 4
33.573 -1 4 -2
33.573 1 4 -2
33.573 -2 -1 -4
33.573 4 -2 -1
33.573 4 -2 1
33.573 -4 -1 -2
33.573 2 1 -4
33.573 2 4 -1
33.573 4 -1 2
33.573 2 4 1
33.573 4 1 2
33.573 -4 2 -1
33.573 -2 -4 1
33.573 4 1 -2
33.573 -4 -2 -1
33.573 -4 -2 1
33.573 4 2 -1
34.387 -2 -3 3
34.387 3 2 3
34.387 3 -2 3
34.387 -2 3 3
34.387 3 -2 -3
34.387 3 -3 2
34.387 3 3 -2
34.387 3 3 2
34.387 -2 3 -3
34.387 -2 -3 -3
34.387 -3 3 2
34.387 3 2 -3
34.387 -3 2 -3
34.387 -3 -2 -3
34.387 -3 2 3
34.387 2 -3 3
34.387 2 -3 -3
34.387 -3 -2 3
34.387 -3 3 -2
34.387 3 -3 -2
34.387 -3 -3 2
34.387 2 3 3
34.387 -3 -3 -2
34.387 2 3 -3
35.967 -2 -2 4
35.967 2 -2 4
35.967 2 2 -4
35.967 2 2 4
35.967 -2 2 4
35.967 -2 -2 -4
35.967 2 -2 -4
35.967 -2 2 -4
35.967 2 4 -2
35.967 4 2 -2
35.967 -2 4 2
35.967 -2 -4 2
35.967 -4 2 2
35.967 2 -4 -2
35.967 -2 -4 -2
35.967 -4 2 -2
35.967 -2 4 -2
35.967 2 -4 2
35.967 -4 -2 2
35.967 4 2 2
35.967 4 -2 -2
35.967 4 -2 2
35.967 -4 -2 -2
35.967 2 4 2
36.735 5 0 0
36.735 0 -4 3
36.735 0 3 -4
36.735 0 0 -5
36.735 -3 0 -4
36.735 -3 0 4
36.735 3 -4 0
36.735 0 3 4
36.735 0 4 -3
36.735 0 -3 -4
36.735 -4 -3 0
36.735 0 5 0
36.735 0 -5 0
36.735 4 0 3
36.735 -3 4 0
36.735 3 4 0
36.735 4 0 -3
36.735 0 0 5
36.735 4 -3 0
36.735 4 3 0
36.735 0 -3 4
36.735 -4 0 3
36.735 -5 0 0
36.735 3 0 -4
36.735 -4 3 0
36.735 3 0 4
36.735 -4 0 -3
36.735 0 4 3
36.735 0 -4 -3
36.735 -3 -4 0
37.489 -1 -3 -4
37.489 3 4 1
37.489 5 0 -1
37.489 0 -5 -1
37.489 -1 -4 -3
37.489 -1 -4 3
37.489 -1 -3 4
37.489 -1 3 4
37.489 -1 0 5
37.489 4 3 1
37.489 4 3 -1
37.489 -1 3 -4
37.489 4 -3 -1
37.489 -1 4 -3
37.489 -1 4 3
37.489 -1 0 -5
37.489 5 -1 0
37.489 1 -3 4
37.489 -4 3 -1
37.489 -1 5 0
37.489 4 -3 1
37.489 -3 -1 4
37.489 0 5 1
37.489 0 5 -1
37.489 -3 -1 -4
37.489 -3 -4 -1
37.489 1 -4 -3
37.489 1 -4 3
37.489 1 -3 -4
37.489 -3 -4 1
37.489 -3 1 -4
37.489 1 0 -5
37.489 -4 3 1
37.489 1 0 5
37.489 1 3 -4
37.489 0 -5 1
37.489 3 -4 -1
37.489 4 1 3
37.489 -5 0 1
37.489 3 1 4
37.489 -4 -3 1
37.489 -4 1 -3
37.489 -4 -1 -3
37.489 -5 0 -1
37.489 3 1 -4
37.489 3 -1 4
37.489 1 5 0
37.489 3 4 -1
37.489 1 4 3
37.489 3 -4 1
37.489 -4 1 3
37.489 0 1 5
37.489 -5 -1 0
37.489 -4 -1 3
37.489 -4 -3 -1
37.489 -5 1 0
37.489 3 -1 -4
37.489 -3 4 1
37.489 -3 4 -1
37.489 5 1 0
37.489 0 -1 -5
37.489 1 4 -3
37.489 0 -1 5
37.489 0 1 -5
37.489 4 1 -3
37.489 -3 1 4
37.489 5 0 1
37.489 4 -1 -3
37.489 1 3 4
37.489 1 -5 0
37.489 -1 -5 0
37.489 4 -1 3
38.231 -3 -3 3
38.231 3 -3 -3
38.231 3 3 -3
38.231 -3 3 -3
38.231 -3 3 3
38.231 -3 -3 -3
38.231 3 3 3
38.231 3 -3 3
38.231 1 -5 1
38.231 -1 5 1
38.231 -1 5 -1
38.231 5 -1 1
38.231 5 -1 -1
38.231 5 1 1
38.231 5 1 -1
38.231 -1 1 -5
38.231 1 -1 -5
38.231 1 -1 5
38.231 1 5 -1
38.231 1 -5 -1
38.231 -5 1 1
38.231 -5 1 -1
38.231 -1 1 5
38.231 1 5 1
38.231 -1 -5 1
38.231 -5 -1 -1
38.231 1 1 5
38.231 -5 -1 1
38.231 -1 -5 -1
38.231 -1 -1 -5
38.231 -1 -1 5
38.231 1 1 -5
39.679 -2 0 -5
39.679 4 -3 2
39.679 0 5 -2
39.679 -3 -2 4
39.679 -5 -2 0
39.679 4 -3 -2
39.679 0 -2 -5
39.679 -3 4 2
39.679 5 0 2
39.679 -3 2 -4
39.679 -3 2 4
39.679 0 -2 5
39.679 -3 4 -2
39.679 -3 -2 -4
39.679 0 5 2
39.679 5 0 -2
39.679 0 -5 2
39.679 -2 -3 4
39.679 0 -5 -2
39.679 3 2 4
39.679 3 2 -4
39.679 -5 2 0
39.679 3 4 -2
39.679 0 2 5
39.679 3 -2 4
39.679 -2 -5 0
39.679 -4 3 -2
39.679 2 -5 0
39.679 5 2 0
39.679 -2 -3 -4
39.679 -3 -4 -2
39.679 3 4 2
39.679 -2 -4 3
39.679 -3 -4 2
39.679 -2 -4 -3
39.679 4 -2 -3
39.679 4 2 3
39.679 0 2 -5
39.679 2 4 3
39.679 -4 2 3
39.679 2 -3 -4
39.679 2 -3 4
39.679 -4 2 -3
39.679 2 0 -5
39.679 2 5 0
39.679 2 0 5
39.679 4 -2 3
39.679 2 3 -4
39.679 2 3 4
39.679 2 4 -3
39.679 4 2 -3
39.679 -4 3 2
39.679 -2 3 -4
39.679 -4 -2 3
39.679 -2 3 4
39.679 -4 -2 -3
39.679 5 -2 0
39.679 3 -2 -4
39.679 2 -4 -3
39.679 2 -4 3
39.679 -5 0 2
39.679 -5 0 -2
39.679 3 -4 2
39.679 -2 0 5
39.679 4 3 2
39.679 -2 5 0
39.679 4 3 -2
39.679 -4 -3 -2
39.679 -4 -3 2
39.679 -2 4 3
39.679 3 -4 -2
39.679 -2 4 -3
40.386 2 5 -1
40.386 2 -1 -5
40.386 2 -1 5
40.386 -1 5 -2
40.386 2 1 5
40.386 2 1 -5
40.386 -1 2 -5
40.386 2 5 1
40.386 -1 -2 5
40.386 -2 1 5
40.386 -2 -1 5
40.386 -2 1 -5
40.386 2 -5 1
40.386 -1 -5 -2
40.386 2 -5 -1
40.386 5 -2 -1
40.386 -5 2 -1
40.386 5 1 -2
40.386 -5 2 1
40.386 5 -1 2
40.386 1 -2 5
40.386 -5 -1 2
40.386 -1 -5 2
40.386 5 1 2
40.386 1 -2 -5
40.386 -2 -1 -5
40.386 -5 -2 1
40.386 5 -1 -2
40.386 5 2 1
40.386 -2 -5 -1
40.386 -5 1 2
40.386 5 -2 1
40.386 1 -5 -2
40.386 -2 -5 1
40.386 1 -5 2
40.386 -1 -2 -5
40.386 -5 -1 -2
40.386 1 5 2
40.386 -5 1 -2
40.386 1 2 -5
40.386 -5 -2 -1
40.386 1 2 5
40.386 -1 5 2
40.386 -1 2 5
40.386 -2 5 -1
40.386 1 5 -2
40.386 5 2 -1
40.386 -2 5 1
41.772 4 -4 0
41.772 0 -4 4
41.772 0 4 -4
41.772 4 0 -4
41.772 4 0 4
41.772 4 4 0
41.772 0 4 4
41.772 -4 0 -4
41.772 -4 -4 0
41.772 0 -4 -4
41.772 -4 0 4
41.772 -4 4 0
42.450 2 2 5
42.450 2 -2 -5
42.450 -5 -2 -2
42.450 -1 4 -4
42.450 -2 -5 -2
42.450 4 -4 1
42.450 4 -4 -1
42.450 4 1 4
42.450 4 1 -4
42.450 -4 -4 -1
42.450 1 -4 4
42.450 -2 5 -2
42.450 -1 -4 4
42.450 -4 -4 1
42.450 1 4 4
42.450 5 2 -2
42.450 -5 2 2
42.450 -2 -5 2
42.450 -2 -2 -5
42.450 5 -2 2
42.450 -5 -2 2
42.450 1 -4 -4
42.450 1 4 -4
42.450 2 2 -5
42.450 -2 2 -5
42.450 -4 1 -4
42.450 -4 -1 4
42.450 -5 2 -2
42.450 -1 4 4
42.450 2 -5 2
42.450 2 -5 -2
42.450 -2 5 2
42.450 -1 -4 -4
42.450 -4 4 -1
42.450 -4 4 1
42.450 -2 -2 5
42.450 5 -2 -2
42.450 4 4 -1
42.450 2 5 2
42.450 4 -1 4
42.450 -2 2 5
42.450 -4 -1 -4
42.450 4 -1 -4
42.450 -4 1 4
42.450 2 5 -2
42.450 4 4 1
42.450 5 2 2
42.450 2 -2 5
43.120 3 4 3
43.120 4 3 3
43.120 5 0 -3
43.120 0 5 -3
43.120 -3 0 5
43.120 0 -3 -5
43.120 -3 5 0
43.120 5 3 0
43.120 4 -3 -3
43.120 -5 3 0
43.120 -5 0 3
43.120 -5 0 -3
43.120 3 0 -5
43.120 3 -3 -4
43.120 3 -4 -3
43.120 4 3 -3
43.120 3 -4 3
43.120 3 -3 4
43.120 3 0 5
43.120 -4 -3 3
43.120 -4 -3 -3
43.120 -3 3 -4
43.120 3 -5 0
43.120 -3 -5 0
43.120 5 -3 0
43.120 0 5 3
43.120 -4 3 -3
43.120 -3 0 -5
43.120 5 0 3
43.120 0 -5 -3
43.120 -3 -4 3
43.120 -3 -3 -4
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[6]:
# match with GSAS for my particular example phase, differences should only arise from broadening
import matplotlib as mpl
import matplotlib.pyplot as plt
import numpy as np
from matador.config import set_settings
mpl.rcParams.update(mpl.rcParamsDefault)
set_settings({"plotting": {"default_style": "matador"}})
gsas_data = "./cif_test.txt"
gsas = np.loadtxt(gsas_data, skiprows=1)
fig, ax = plt.subplots()
plt.plot(gsas[:, 0], gsas[:, 1] / np.max(gsas[:, 1]), ls='--', label='GSAS', alpha=0.5)
plot_pxrd(crystal.pxrd, ax=ax, text_offset=0.4, alpha=0.5)
plt.legend();
[7]:
# can also tweak the plot style by specifying a matplotlib style/ style file
from matador.config import set_settings
import matplotlib.pyplot as plt
set_settings({"plotting": {"default_style": "matador"}})
plot_pxrd(
[crystal.pxrd, crystal.pxrd, crystal.pxrd],
rug=True,
text_offset=0.3,
)
set_settings({"plotting": {"default_style": "seaborn-darkgrid"}})
plot_pxrd(
[crystal.pxrd, crystal.pxrd, crystal.pxrd],
rug=True,
text_offset=0.3,
)
set_settings({"plotting": {"default_style": "ggplot"}})
plt.xkcd()
plot_pxrd(
[crystal.pxrd, crystal.pxrd, crystal.pxrd],
rug=True,
text_offset=0.3,
)
