Created
July 14, 2020 18:56
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import numpy as np | |
import matplotlib.pyplot as plt | |
import gif | |
def julia_quadratic(zx, zy, cx, cy, threshold): | |
z = complex(zx, zy) | |
c = complex(cx, cy) | |
for i in range(threshold): | |
z = z**2 + c | |
if abs(z) > 4.: | |
return i | |
return threshold - 1 | |
x_start, y_start = -2, -2 | |
width, height = 4, 4 | |
density_per_unit = 200 | |
re = np.linspace(x_start, x_start + width, width * density_per_unit ) | |
im = np.linspace(y_start, y_start + height, height * density_per_unit) | |
threshold = 20 | |
n_frames = 100 | |
r = 0.7885 | |
a = np.linspace(0, 2*np.pi, n_frames) | |
@gif.frame | |
def plot(i): | |
X = np.empty((len(re), len(im))) | |
cx, cy = r * np.cos(a[i]), r * np.sin(a[i]) | |
for i in range(len(re)): | |
for j in range(len(im)): | |
X[i, j] = julia_quadratic(re[i], im[j], cx, cy, threshold) | |
plt.figure(figsize=(10, 10)) | |
plt.imshow(X.T, interpolation="bicubic", cmap='magma') | |
plt.xticks([]) | |
plt.yticks([]) | |
frames = [] | |
for i in range(n_frames): | |
frame = plot(i) | |
frames.append(frame) | |
gif.save(frames, 'julia_set.gif', duration=50) |
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