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pythonmatplotlibmatplotlib-animationmatplotlib-3d

How to create a 3D animation


I want to make 3D animation with matplotlib, but I don't know how to. Here is my non-working code.

from matplotlib import pyplot as plt
import numpy as np
from mpl_toolkits.mplot3d import Axes3D
from matplotlib import animation
from math import *

fig = plt.figure()
ax = fig.add_subplot(111) #, projection='3d'

#setting
ax.set_xlim(-5,5)
ax.set_ylim(-5,5)
#ax.set_zlim(-5,5)
ax.set_xlabel('x')
ax.set_ylabel('y')
#ax.set_zlabel('z')
ax.grid()

f1, = ax.plot([], [], "r-", lw=1) #plot1

def gen():
    for phi in np.linspace(0,2*pi,100):
        yield np.cos(phi), np.sin(phi), phi

def update(data):
    p1, q1, psi = data
    f1.set_data(p1,q1)
    #f1.set_3d_properties(psi)

ani = animation.FuncAnimation(fig, update, gen, blit=False, interval=100, repeat=True)
#ani.save('matplot003.gif', writer='imagemagick')
plt.show()

Solution

  • I used this example http://matplotlib.org/1.4.1/examples/animation/simple_3danim.html and modified your code:

    from matplotlib import pyplot as plt
    import numpy as np
    from mpl_toolkits.mplot3d import Axes3D
    from matplotlib import animation
    
    fig = plt.figure()
    ax = fig.add_subplot(projection='3d')
    
    def gen(n):
        phi = 0
        while phi < 2*np.pi:
            yield np.array([np.cos(phi), np.sin(phi), phi])
            phi += 2*np.pi/n
    
    def update(num, data, line):
        line.set_data(data[:2, :num])
        line.set_3d_properties(data[2, :num])
    
    N = 100
    data = np.array(list(gen(N))).T
    line, = ax.plot(data[0, 0:1], data[1, 0:1], data[2, 0:1])
    
    # Setting the axes properties
    ax.set_xlim3d([-1.0, 1.0])
    ax.set_xlabel('X')
    
    ax.set_ylim3d([-1.0, 1.0])
    ax.set_ylabel('Y')
    
    ax.set_zlim3d([0.0, 10.0])
    ax.set_zlabel('Z')
    
    ani = animation.FuncAnimation(fig, update, N, fargs=(data, line), interval=10000/N, blit=False)
    #ani.save('matplot003.gif', writer='imagemagick')
    plt.show()
    

    enter image description here