python用户界面模块_使用多处理模块更新Tkinter图形用户界面

我一直试图使用多处理模块来更新Tkinter GUI，但是当我运行这段代码时，它会给出Pickling错误。# Test Code for Tkinter with threads

import Tkinter

from multiprocessing import Queue

import multiprocessing

import time

# Data Generator which will generate Data

def GenerateData():

global q

for i in range(10):

print "Generating Some Data, Iteration %s" %(i)

time.sleep(2)

q.put("Some Data from iteration %s n" %(i))

def QueueHandler():

global q, text_wid

while True:

if not q.empty():

str = q.get()

text_wid.insert("end", str)

# Main Tkinter Application

def GUI():

global text_wid

tk = Tkinter.Tk()

text_wid = Tkinter.Text(tk)

text_wid.pack()

tk.mainloop()

if __name__ == '__main__':

# Queue which will be used for storing Data

tk = Tkinter.Tk()

text_wid = Tkinter.Text(tk)

q = multiprocessing .Queue()

t1 = multiprocessing.Process(target=GenerateData,args=(q,))

t2 = multiprocessing.Process(target=QueueHandler,args=(q,text_wid))

t1.start()

t2.start()

text_wid.pack()

tk.mainloop()

错误：PicklingError: Can't pickle : it's not found as thread.lock

如果删除参数text_wid，则不会报告任何错误，但文本小部件不会使用来自queque的数据更新。

更新：

我修改了代码，以便在队列中有值时调用函数来更新GUI，从而防止Tkinter小部件被传递到单独的进程。现在，我没有得到任何错误，但小部件没有更新的数据。但是，如果我使用Threading和Multiprocessing模块的混合，即创建一个单独的线程来处理队列中的数据，那么它可以正常工作。我的问题是，当我在单独的进程中运行处理程序代码时，为什么不起作用。我没有正确地传递数据吗。下面是修改后的代码：# Test Code for Tkinter with threads

import Tkinter

import multiprocessing

from multiprocessing import Queue

import time

import threading

# Data Generator which will generate Data

def GenerateData(q):

for i in range(10):

print "Generating Some Data, Iteration %s" %(i)

time.sleep(2)

q.put("Some Data from iteration %s n" %(i))

def QueueHandler(q):

while True:

if not q.empty():

str = q.get()

update_gui(str)

#text_wid.insert("end", str)

# Main Tkinter Application

def GUI():

global text_wid

tk = Tkinter.Tk()

text_wid = Tkinter.Text(tk)

text_wid.pack()

tk.mainloop()

def update_gui(str):

global text_wid

text_wid.insert("end", str)

if __name__ == '__main__':

# Queue which will be used for storing Data

tk = Tkinter.Tk()

text_wid = Tkinter.Text(tk)

q = multiprocessing.Queue()

t1 = multiprocessing.Process(target=GenerateData,args=(q,))

t2 = multiprocessing.Process(target=QueueHandler,args=(q,))

t1.start()

t2.start()

text_wid.pack()

tk.mainloop()