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Tori spectra
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# -*- coding: utf-8 -*- | |
""" | |
Based on | |
https://www.instagram.com/reel/DJpQwikz9Yh/ | |
[-i 0 t1 0 0 t2] | |
[ 0 0 x x 0 x] | |
A = [ i 0 0 x 0 i] | |
[ 0 0 0 -i -i i] | |
[-i x 0 0 -i x] | |
[-i x 0 0 0 -i] | |
@author: Nicolás Guarín-Zapata | |
@date: May 2025 | |
""" | |
import os | |
import numpy as np | |
import matplotlib.pyplot as plt | |
from scipy.linalg import eigvals | |
from PIL import Image | |
def save_gif_PIL(outfile, files, fps=5, loop=0): | |
"""Helper function for saving GIFs | |
Parameters | |
---------- | |
outfile : string | |
Path to the output file. | |
files : list | |
List of paths with the PNG files. | |
fps : int (optional) | |
Frames per second. | |
loop : int | |
The number of times the GIF should loop. | |
0 means that it will loop forever. | |
""" | |
imgs = [Image.open(file) for file in files] | |
imgs[0].save(fp=outfile, format='GIF', append_images=imgs[1:], | |
save_all=True, duration=int(1000/fps), loop=loop) | |
#%% Image generation | |
repo = "https://raw.githubusercontent.com/nicoguaro/matplotlib_styles/master" | |
style = repo + "/styles/neon.mplstyle" | |
plt.style.use(style) | |
col1 = "#04D9D9" | |
npts = 101 | |
niter = 20 | |
files = [] | |
plt.figure(figsize=(4, 4)) | |
for cont, x in enumerate(np.linspace(0, 2, niter)): | |
for θ1 in np.linspace(0, 2*np.pi, npts): | |
for θ2 in np.linspace(0, 2*np.pi, npts): | |
t1 = np.exp(1j*θ1) | |
t2 = np.exp(1j*θ2) | |
A = np.array([ | |
[-1j, 0, t1, 0, 0, t2], | |
[0, 0, x, x, 0, x], | |
[1j, 0, 0, x, 0, 1j], | |
[0, 0, 0, -1j, -1j, 1j], | |
[-1j, x, 0, 0, -1j, x], | |
[-1j, x, 0, 0, 0, -1j]], dtype=complex) | |
evals = eigvals(A) | |
plt.plot(evals.real, evals.imag, ".", mfc=col1, mec="None", | |
markersize=2, alpha=0.5) | |
plt.axis("off") | |
file = f"torus_spectra{str(cont).zfill(2)}.png" | |
plt.savefig(file, dpi=600) | |
files.append(file) | |
plt.cla() | |
#%% Animation | |
save_gif_PIL("torus_spectra_anim.gif", files, fps=5, loop=0) | |
[os.remove(file) for file in files] |
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