from mpl_toolkits.mplot3d import axes3d import numpy as np import matplotlib.pyplot as plt import matplotlib.animation as animation
def generate(X, Y, phi): R = 1 - np.sqrt(X2 + Y2) return np.cos(2 * np.pi * X + phi) * R
fig = plt.figure() ax = axes3d.Axes3D(fig)
xs = np.linspace(-1, 1, 50) ys = np.linspace(-1, 1, 50) X, Y = np.meshgrid(xs, ys) Z = generate(X, Y, 0.0) wframe = ax.plot_wireframe(X, Y, Z, rstride=2, cstride=2) ax.set_zlim(-1,1)
def update(i, ax, fig): ax.cla() phi = i * 360 / 2 / np.pi / 100 Z = generate(X, Y, phi) wframe = ax.plot_wireframe(X, Y, Z, rstride=2, cstride=2) ax.set_zlim(-1,1) return wframe,
def xrange(x):
from mpl_toolkits.mplot3d import axes3d
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
def generate(X, Y, phi):
R = 1 - np.sqrt(X**2 + Y**2)
return np.cos(2 * np.pi * X + phi) * R
fig = plt.figure()
ax = axes3d.Axes3D(fig)
xs = np.linspace(-1, 1, 50)
ys = np.linspace(-1, 1, 50)
X, Y = np.meshgrid(xs, ys)
Z = generate(X, Y, 0.0)
wframe = ax.plot_wireframe(X, Y, Z, rstride=2, cstride=2)
ax.set_zlim(-1,1)
def update(i, ax, fig):
ax.cla()
phi = i * 360 / 2 / np.pi / 100
Z = generate(X, Y, phi)
wframe = ax.plot_wireframe(X, Y, Z, rstride=2, cstride=2)
ax.set_zlim(-1,1)
return wframe,
def xrange(x):
return iter(range(x))
ani = animation.FuncAnimation(fig, update, frames=xrange(100),
fargs=(ax, fig), interval=100)
plt.show()
ani = animation.FuncAnimation(fig, update, frames=xrange(100), fargs=(ax, fig), interval=100) plt.show()