import numpy as np |
import matplotlib.pyplot as plt |
from mpl_toolkits.mplot3d import Axes3D |
fig = plt.figure() |
ax = fig.gca(projection = '3d' ) |
# 将相位向后移动了6*pi |
[x, t] = np.meshgrid(np.array( range ( 25 )) / 24.0 , np.arange( 0 , 575.5 , 0.5 ) / 575 * 20 * np.pi + 4 * np.pi) |
p = (np.pi / 2 ) * np.exp( - t / ( 8 * np.pi)) |
# 添加边缘扰动 |
change = np.sin( 15 * t) / 150 |
# 将t的参数减少,使花瓣的角度变大 |
u = 1 - ( 1 - np.mod( 3.3 * t, 2 * np.pi) / np.pi) * * 4 / 2 + change |
y = 2 * (x * * 2 - x) * * 2 * np.sin(p) |
r = u * (x * np.sin(p) + y * np.cos(p)) |
h = u * (x * np.cos(p) - y * np.sin(p)) |
c = plt.get_cmap( 'Reds' ) |
surf = ax.plot_surface(r * np.cos(t), r * np.sin(t), h, rstride = 1 , cstride = 1 , |
cmap = c, linewidth = 0 , antialiased = True ) |
plt.show() |