= ax1.plot([],[],[],animated=True)8#定义动画函数9defanimate(i):10line.set_xdata(myCurve[:i+1,0])11line.set_ydata(myCurve[:i+1,1])12line.set_3d_properties(myCurve[:i+1,3])13#
plot(fig) # Return a string to Excel return "[OK!]" When we call this function with our loaded DataFrame the plot shows in Excel using the pyxll.plot function. Next we’ll make it animate! Our 3d data plotted in Excel Animating the 3d plot To make this plot animated we’ll use ...
import matplotlib.pyplot as plt import numpy as np # 导入Axes3D(3D坐标显示) from mpl_toolkits.mplot3d import Axes3D fig = plt.figure() ax = Axes3D(fig) # 在窗口上添加3D坐标轴 1. 2. 3. 4. 5. 6. 7. 8. X = np.arange(-4,4,0.25) Y = np.arange(-4,4,0.25) X,Y = np....
#所以这里需要加,号 line, = ax.plot(x,np.sin(x)) def animate(i): line.set_ydata(np.sin(x + i/10.0))#updata the data return line, def init(): line.set_ydata(np.sin(x)) return line, # call the animator. blit=True means only re-draw the parts that have changed. # blit=...
ani = animation.FuncAnimation(fig, animate, interval=1000) plt.show() 现在,打开终端并运行 python 脚本。你将得到如下图所示的图表,该图表会自动更新: 这里的间隔是 1000 毫秒或一秒。 3D 图动画 创建3D 图形是很常见的,但如果我们想要为这些图形的视角设置动画,该怎么办呢?我们的想法是更改摄像机视图,然后...
importnumpyasnpimportmatplotlib.pyplotaspltfrommatplotlib.animationimportFuncAnimation# 创建图形和轴fig,ax=plt.subplots()x=np.linspace(0,2*np.pi,100)line,=ax.plot(x,np.sin(x))# 初始化函数definit():line.set_ydata([np.nan]*len(x))# 初始状态下隐藏线条returnline,# 动画函数defanimate(i):...
def animate(f): fig.clear() ax = fig.add_subplot(111, projection="3d") k=300 Z = [i for i in range(k)] X = [math.cos(i/5+f/10)*(k-i) for i in range(k)] Y = [math.sin(i/5+f/10)*(k-i) for i in range(k)] ...
plot(x, np.sin(x)) Animation 动画99 接着,构造自定义动画函数animate,用来更新每一帧上各个x对应的y坐标值,参数表示第i帧 def animate(i): line.set_ydata(np.sin(x + i/10.0)) return line, 然后,构造开始帧函数init: def init(): line.set_ydata(np.sin(x)) return line, 参数设置 接...
(2)camera = Camera(fig)t = np.linspace(0, 2 * np.pi, 128, endpoint=False)for i in t:axes[0].plot(t, np.sin(t + i), color='blue')axes[1].plot(t, np.sin(t - i), color='blue')camera.snap()animation = camera.animate()animation.save('celluloid_subplots.gif', writer =...
line,=ax.plot(x, np.sin(x))defanimate(i): line.set_ydata(np.sin(x+i/10))returnline,definit(): line.set_ydata(np.sin(x))returnline, ani= animation.FuncAnimation(fig=fig, func=animate, frames=100, init_func=init, interval=20, blit=True) ...