要绘制其属性沿其变化的线，请使用LineCollection。这里和这里的例子。要使用LineCollection制作动画，请参见以下示例。
要回答上面代码中的内容，
animate()请在其中使用重置行
x,y属性
line.set_data(x,y)。然后，函数将Matplotlib
(line,)必须在每一帧更新的艺术家集合返回给Matplotlib 。
这是我认为您要寻找的内容（
blit=true仅当您的平台在上次调用中支持时才启用）：
import numpy as npfrom matplotlib import pyplot as pltfrom matplotlib import animationfrom matplotlib.collections import LineCollectionfrom matplotlib.colors import ListedColormap, BoundaryNorm# First set up the figure, the axis, and the plot element we want to animatefig = plt.figure()ax = plt.axes(xlim=(0, 2), ylim=(-2, 2))cmap = ListedColormap(['b', 'r', 'b'])norm = BoundaryNorm([0, 1, 1.5, 2], cmap.N)line = LineCollection([], cmap=cmap, norm=norm,lw=2)line.set_array(np.linspace(0, 2, 1000))ax.add_collection(line)# initialization function: plot the background of each framedef init(): line.set_segments([]) return line,# animation function. This is called sequentiallydef animate(i): x = np.linspace(0, 2, 1000) y = np.sin(2 * np.pi * (x - 0.01 * i)) points = np.array([x, y]).T.reshape(-1, 1, 2) segments = np.concatenate([points[:-1], points[1:]], axis=1) line.set_segments(segments) return line,# call the animator. blit=True means only re-draw the parts that have changed.anim = animation.FuncAnimation(fig, animate, init_func=init, frames=200, interval=20)
