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Data update

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This commit is contained in:
Ingy döt Net 2023-08-01 14:30:30 -07:00
parent 07c7092a52
commit 61b93a2cd1
313 changed files with 6160 additions and 346 deletions
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6
Task/Mandelbrot-set/Python/mandelbrot-set-5.py
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@ -32,3 +32,9 @@ D[N] = np.log(abs(Z[N])) * abs(Z[N]) / abs(dZ[N])
plt.imshow(D ** 0.1, cmap=plt.cm.twilight_shifted, origin="lower")
plt.savefig("Mandelbrot_set_3.png", dpi=200)
N, thickness = D > 0, 0.01 # boundary detection and interpolation
D[N] = np.maximum(1 - D[N] / thickness, 0)
plt.imshow(D ** 2.0, cmap=plt.cm.binary, origin="lower")
plt.savefig("Mandelbrot_set_4.png", dpi=200)

12
Task/Mandelbrot-set/Python/mandelbrot-set-7.py
View file

@ -4,8 +4,8 @@ import matplotlib.pyplot as plt
d, h = 200, 1200 # pixel density (= image width) and image height
n, r = 8000, 10000 # number of iterations and escape radius (r > 2)
a = -.743643887037158704752191506114774 # real coordinate of the zoom center
b = 0.131825904205311970493132056385139 # imaginary coordinate of the center
a = -.743643887037158704752191506114774 # try: a, b, n = -1.748764520194788535, 3e-13, 800
b = 0.131825904205311970493132056385139 # https://mathr.co.uk/web/m-location-analysis.html
x = np.linspace(0, 2, num=d+1)
y = np.linspace(0, 2 * h / d, num=h+1)
@ -30,8 +30,8 @@ X, Y = C.real, C.imag # zoom images (adjust circle size 100 and zoom level 20 a
R, c, z = 100 * (2 / d) * np.pi * np.exp(- B), min(d, h) + 1, max(0, h - d) // 20
fig, ax = plt.subplots(2, 2, figsize=(12, 12))
ax[0, 0].scatter(X[1*z:1*z+c,0:d], Y[1*z:1*z+c,0:d], s=R[0:c,0:d]**2.0, c=D[1*z:1*z+c,0:d]**0.5, cmap=plt.cm.nipy_spectral)
ax[0, 1].scatter(X[2*z:2*z+c,0:d], Y[2*z:2*z+c,0:d], s=R[0:c,0:d]**2.0, c=D[2*z:2*z+c,0:d]**0.4, cmap=plt.cm.nipy_spectral)
ax[1, 0].scatter(X[3*z:3*z+c,0:d], Y[3*z:3*z+c,0:d], s=R[0:c,0:d]**2.0, c=D[3*z:3*z+c,0:d]**0.3, cmap=plt.cm.nipy_spectral)
ax[1, 1].scatter(X[4*z:4*z+c,0:d], Y[4*z:4*z+c,0:d], s=R[0:c,0:d]**2.0, c=D[4*z:4*z+c,0:d]**0.2, cmap=plt.cm.nipy_spectral)
ax[0,0].scatter(X[1*z:1*z+c,0:d], Y[1*z:1*z+c,0:d], s=R[0:c,0:d]**2, c=D[1*z:1*z+c,0:d]**.5, cmap=plt.cm.nipy_spectral)
ax[0,1].scatter(X[2*z:2*z+c,0:d], Y[2*z:2*z+c,0:d], s=R[0:c,0:d]**2, c=D[2*z:2*z+c,0:d]**.4, cmap=plt.cm.nipy_spectral)
ax[1,0].scatter(X[3*z:3*z+c,0:d], Y[3*z:3*z+c,0:d], s=R[0:c,0:d]**2, c=D[3*z:3*z+c,0:d]**.3, cmap=plt.cm.nipy_spectral)
ax[1,1].scatter(X[4*z:4*z+c,0:d], Y[4*z:4*z+c,0:d], s=R[0:c,0:d]**2, c=D[4*z:4*z+c,0:d]**.2, cmap=plt.cm.nipy_spectral)
plt.savefig("Mercator_Mandelbrot_zoom.png", dpi=100)