使用FuncAnimation以两种不同方式绘制动画

Question

我想不断更新绘图的一个属性（例如，随机化y值），然后偶尔更新它（例如，将所有y值为零）。

只用一个FuncAnimation程序就可以做到这一点吗？

或者，这样做的最好方法是什么？

编辑：例如，做“updatePlot（）”了一段时间，然后做“otherUpdatePlot”：

from matplotlib import pyplot as plt 
import matplotlib.animation as animation 
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg 
import numpy as np 
import Tkinter as tk 


class AnimatedPlot(tk.Frame): 
    def __init__(self, master=None, **kwargs): 
     tk.Frame.__init__(self, master, **kwargs) 
     self.fig = plt.Figure() 
     self.ax1 = self.fig.add_subplot(111) 
     self.line, = self.ax1.plot([], [], lw=2) 
     self.canvas = FigureCanvasTkAgg(self.fig, master=self) 
     self.canvas.show() 
     self.canvas.get_tk_widget().grid(row=1, column=0, columnspan=2, rowspan=8) 
     self.ax1.set_ylim(0,20) #only the visible limits of the grad 
     self.ax1.set_xlim(0,20) ##the whole dataset swill be longer       
     self.startPlot() 

    def startPlot(self): 
     self.xdata = np.linspace(0, 20, 20) 
     self.ydata = np.linspace(0, 20, 20)  
     self.anim = animation.FuncAnimation(
      self.fig, 
      self.updatePlot, 
      repeat=True) #here is the animation routine that right now only runs one updatePlot function 
     self.anim._start() 
     print("Running") 

    def updatePlot(self,i): #the function to be animated most of the time    
     self.ydata = np.random.randint(20, size=20) 
     self.line.set_data(self.xdata, self.ydata)   
     return self.line, 

    def otherUpdatePlot(self,i): #to be animated once in a while 
     self.ydata = np.zeros(shape=(1, 20)) 
     self.line.set_data(self.xdata, self.ydata) 
     return self.line, 

def main(): 
    root = tk.Tk() 
    app = AnimatedPlot(root) 
    app.pack() 
    root.mainloop() 

if __name__ == '__main__': 
    main() 

Answer 1

创建一个功能，这取决于一些条件，调用两种方法之一。使用此功能作为动画功能。

在下面的示例中，我们使用属性self.once_in_a_while = 6使图形每6帧全部为零。

from matplotlib import pyplot as plt 
import matplotlib.animation as animation 
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg 
import numpy as np 
import Tkinter as tk 


class AnimatedPlot(tk.Frame): 
    def __init__(self, master=None, **kwargs): 
     tk.Frame.__init__(self, master, **kwargs) 
     self.fig = plt.Figure() 
     self.ax1 = self.fig.add_subplot(111) 
     self.line, = self.ax1.plot([], [], lw=2) 
     self.canvas = FigureCanvasTkAgg(self.fig, master=self) 
     self.canvas.show() 
     self.canvas.get_tk_widget().grid(row=1, column=0, columnspan=2, rowspan=8) 
     self.ax1.set_ylim(0,20) #only the visible limits of the grad 
     self.ax1.set_xlim(0,20) ##the whole dataset swill be longer       
     self.startPlot() 

    def startPlot(self): 
     self.xdata = np.linspace(0, 20, 20) 
     self.ydata = np.linspace(0, 20, 20) 
     self.once_in_a_while = 6 
     self.anim = animation.FuncAnimation(
      self.fig, 
      self.update, 
      repeat=True) 
     self.anim._start() 
     print("Running") 

    def update(self, i): 
     if i%self.once_in_a_while: 
      r = self.updatePlot(i) 
     else: 
      r = self.otherUpdatePlot(i) 
     return r 

    def updatePlot(self,i): #the function to be animated most of the time    
     self.ydata = np.random.randint(20, size=20) 
     self.line.set_data(self.xdata, self.ydata)   
     return self.line, 

    def otherUpdatePlot(self,i): #to be animated once in a while 
     self.ydata = np.zeros(shape=(1, 20)) 
     self.line.set_data(self.xdata, self.ydata) 
     return self.line, 

def main(): 
    root = tk.Tk() 
    app = AnimatedPlot(root) 
    app.pack() 
    root.mainloop() 

if __name__ == '__main__': 
    main()