散点图不使用管理器进行多点处理

Question

该程序显示没有错误，但它会产生没有任何点的空白图。我后来希望修改此代码，以便许多进程可以并行工作来更改共享的matplotlib散点图。

from multiprocessing.managers import BaseManager, NamespaceProxy 
from multiprocessing import Process 
import matplotlib.pyplot as plt 
import numpy as np 

def plotter(res): 
    print(res.ax,res.fig) 
    res.ax.scatter(np.random.normal(0,20,(100,)),np.random.uniform(0,20,(100,)),s=1) 
    res.fig.savefig('man2.png') 


class PlotClass(): 
    fig = plt.figure() 
    ax = fig.add_subplot(111) 

    def __init__(self): 
     print('Test') 


class MyManager(BaseManager): 
    pass 

class MyAttProxy(NamespaceProxy): 
    # We need to expose the same __dunder__ methods as NamespaceProxy, 
    _exposed_ = ('__getattribute__', '__setattr__', '__delattr__') 

MyManager.register('Plot', PlotClass,MyAttProxy) 

if __name__ == '__main__': 
    manager = MyManager() 
    manager.start() 
    plotscat = manager.Plot() 
    pr = Process(target=plotter,args=(plotscat,)) 
    pr.start() 
    pr.join() 
    plotscat.fig.savefig('fig.png') 

Answer 1

也许你应该重新绘制图中添加分散

def plotter(res): 
    print(res.ax,res.fig) 
    res.ax.scatter(np.random.normal(0,20,(100,)),np.random.uniform(0,20,(100,)),s=1) 
    res.fig.canvas.draw_idle() 
    res.fig.savefig('man2.png')