多处理显示matplotlib图 [英] multiprocessing show matplotlib plot

问题描述

我正在尝试打开多个地块，但遇到了一些问题.当我尝试使用线程创建图时，python首先会打开多个窗口，然后关闭除第一个窗口外的所有窗口.

I'm trying to open up multiple plots but I ran into a few problems. When I tried to create plots using threading, python would first open a number of windows, then close all but the first.

在另一个问题中，建议我使用尝试过的多重处理.该代码运行无误，只是不显示任何图.
在继续进行我的主要项目之前，我正在尝试使工作变得非常简单.

In another question it was recommended that I use multiprocessing which I have tried. The code runs without error, it just doesn't show any plot.
I'm trying to get something very simple to work before moving on to my main project.

# Import the necessary packages and modules
import matplotlib.pyplot as plt
import numpy as np


#from threading import Thread
import multiprocessing

def plot(datax, datay, name):
    # Prepare the data
    x = datax
    y = datay**2
    # Plot the data
    plt.scatter(x, y, label=name)

    # Add a legend
    plt.legend()

    # Show the plot
    plt.show()



#plot(3,3,)
'''
for i in range(10):
    t = Thread(target=plot, args=(i,i+1,i,))
    t.start()
    '''
for i in range(2):
    p = multiprocessing.Process(target=plot, args=(i, i, i))
    p.start()

更新: 由于某种原因，多处理再次停止工作.我尝试创建一个函数multiP()只是为了打开进程，但是当我添加input('value:')时它不起作用. scine，我不知道如何将数据发送到特定的线程，我将像这样保存数据:dat = [[x，y0，y1，... yn]，[x，y0，y1，.. .yn]，...]，并检查每个绘图过程是否将某些内容添加到dat.

update: for some reason, multiprocessing stopped working again. I tried creating a function multiP() only to open the processes but it didn't work when I added the input('value: '). scine I can't figure out how to send data to a specific thread I'm going to save data like this: dat = [[x,y0,y1,...yn],[x,y0,y1,...yn],...] and each plot process with check the if something was added to dat.

import matplotlib.pyplot as plt
import numpy as np

import multiprocessing
#multiprocessing.freeze_support() # <- may be required on windows

def plot(datax, datay, name):
    x = datax
    y = datay**2
    plt.scatter(x, y, label=name)
    plt.legend()
    plt.show()

def multiP():
    if __name__ == "__main__":   
        for i in range(2):
            p = multiprocessing.Process(target=plot, args=(i, i, i))
            p.start()
if True:
    #input('Vlaue: ') # while commented plots are shown
    multiP()

推荐答案

以下代码根据需要生成两个数字.

The following code produces two figures as desired.

import matplotlib.pyplot as plt
import numpy as np

import multiprocessing
#multiprocessing.freeze_support() # <- may be required on windows

def plot(datax, datay, name):
    x = datax
    y = datay**2
    plt.scatter(x, y, label=name)
    plt.legend()
    plt.show()

def multiP():
    for i in range(2):
        p = multiprocessing.Process(target=plot, args=(i, i, i))
        p.start()

if __name__ == "__main__": 
    input('Value: ') 
    multiP()

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