如何从实时实验中获取数据并使用线程进行实时2D绘图？

Question

我需要从仪器中获取数据并对其进行2D绘图。我可以在没有线程的情况下完成它，但它很慢......我怎么能在没有像＃34; QObject :: setParent这样的错误的情况下继续：不能设置父级，新父级在不同的线程中＃34;，＆＃34; QApplication：对象事件过滤器不能在不同的线程中＃34;和＃34; QPixmap：在GUI线程之外使用pixmaps并不安全＆＃34;。我使用此代码作为测试：

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

   class myThread (threading.Thread):
      def __init__(self, threadID, name, counter):
      threading.Thread.__init__(self)
      self.threadID = threadID
      self.name = name
      self.counter = counter
      s=(6,6)

      self.x=np.zeros(s)
      def run(self):
         print "Starting " + self.name
         threadLock.acquire()

         if self.threadID==1:
           acquire_data(self.x)
           count_to_three(self.name,1)
           plot_it(self.x)
           count_to_three(self.name,1)
           print "Exiting "+ self.name

         if self.threadID==2:
            count_to_three(self.name,1)
            print "Exiting "+ self.name

         threadLock.release()


 def print_time(threadName, delay, counter):
    while counter:
    time.sleep(delay)
    print "%s: %s" % (threadName, time.ctime(time.time()))
    counter -= 1
def count_to_three(threadName,delay):
   i=0
   while i<4:
       time.sleep(delay)
       print"%s: %s" % (threadName,i)
       i+=1

def acquire_data(x):

   return

def plot_it(x):
  sidex = np.linspace(0,6,6) 
  sidey = np.linspace(0,6,6)
  X,Y = np.meshgrid(sidex,sidey)
  plt.subplot(111)
  plt.pcolormesh(X,Y,x)

  return
  # Create new threads


  plt.figure()
  threadLock=threading.Lock()
  while True:

     threads=[]
     thread1 = myThread(1, "Thread-1", 3)
     thread2 = myThread(2, "Thread-2", 2)

    # Start new Threads
     thread1.start()
     thread2.start()

   # Add threads to thread list
   threads.append(thread1)
   threads.append(thread2)

   for t in threads:
      plt.show()
      t.join()