python - 非阻塞 Matplotlib 动画

Question

我想在我的主程序中同时运行 FuncAnimation，不幸的是，它阻止了 MainProgram 的执行。无论我做什么。
我试过了:

plt.show(block=False)程序继续，但绘图显示空白

返回动画并存储在变量中 - MainProgram被阻止

两者:MainProgram运行但绘图窗口为空白

我知道这个问题，但是，我认为考虑到动画的使用，提出的解决方案是不合适的。
Plotting in a non-blocking way with Matplotlib

import matplotlib.pyplot as plt
import matplotlib.animation as animation
import numpy as np
import time

def runGraph():
    # Parameters
    x_len = 200         # Number of points to display
    y_range = [10, 40]  # Range of possible Y values to display

    # Create figure for plotting
    fig = plt.figure()
    ax = fig.add_subplot(1, 1, 1)
    xs = list(range(0, 200))
    ys = [0] * x_len
    ax.set_ylim(y_range)

    # Create a blank line. We will update the line in animate
    line, = ax.plot(xs, ys)

    # Add labels
    plt.title('TMP102 Temperature over Time')
    plt.xlabel('Samples')
    plt.ylabel('Temperature (deg C)')

    # This function is called periodically from FuncAnimation
    def animate(i, ys):

        # Read temperature (Celsius) from TMP102
        temp_c = np.random.random(1)*40

        # Add y to list
        ys.append(temp_c)

        # Limit y list to set number of items
        ys = ys[-x_len:]

        # Update line with new Y values
        line.set_ydata(ys)

        return line,

    # Set up plot to call animate() function periodically
    ani = animation.FuncAnimation(fig,
        animate,
        fargs=(ys,),
        interval=50,
        blit=True)
    plt.show()

def MainProgram():
     while 1:
         print('Main program')
         time.sleep(0.5)

if __name__ == '__main__':
    runGraph()
    MainProgram()

Answer 1

解决此问题的最通用方法是使用 multiprocessing模块。

import matplotlib.pyplot as plt
import matplotlib.animation as animation
from multiprocessing import Process
import numpy as np
import time

def runGraph():
    # Parameters
    print('show')
    x_len = 200         # Number of points to display
    y_range = [10, 40]  # Range of possible Y values to display

    # Create figure for plotting
    fig = plt.figure()
    ax = fig.add_subplot(1, 1, 1)
    xs = list(range(0, 200))
    ys = [0] * x_len
    ax.set_ylim(y_range)

    # Create a blank line. We will update the line in animate
    line, = ax.plot(xs, ys)

    # Add labels
    plt.title('TMP102 Temperature over Time')
    plt.xlabel('Samples')
    plt.ylabel('Temperature (deg C)')

    # This function is called periodically from FuncAnimation
    def animate(i, ys):

        # Read temperature (Celsius) from TMP102
        temp_c = np.random.random(1)*40

        # Add y to list
        ys.append(temp_c)

        # Limit y list to set number of items
        ys = ys[-x_len:]

        # Update line with new Y values
        line.set_ydata(ys)

        return line,


    # Set up plot to call animate() function periodically

    ani = animation.FuncAnimation(fig,
        animate,
        fargs=(ys,),
        interval=50,
        blit=True)
    plt.show()



def MainProgram():
     while 1:
         print('Main program')
         time.sleep(0.5)

if __name__ == '__main__':
    p = Process(target=runGraph)
    p.start()
    MainProgram()
    p.join()