使用matplotlib运行线程会导致python崩溃

时间:2017-06-14 22:38:02

标签: python multithreading matplotlib tkinter

我有一个程序有2个非常简单的线程:

  • 一个用于收听串口
  • 一个用于文字用户界面

我的matplotlib也有animation main()。它有scope类,是matplotlib的示例。

当程序开始运行时,它会显示情节,一切正常。问题是,只要用户输入密钥,程序就会崩溃并且python退出时会出现致命错误。

ui主题与matplotlibscope类无关。如果我删除创建绘图的代码,ui线程没有问题,程序运行顺利。我还注意到我的系统matplotlib使用tkinter来创建窗口。

您对matplotlib animation导致问题的原因有任何提示或经验吗?线程是否可以与matplotlib plot一起使用?

我在Windows7 Python 2.7的命令行窗口中运行此功能。

matplotlib版本:2.0.2 Tkinter版本:8.5

错误:

Fatal Python error: GC object already tracked

This application has requested the Runtime to terminate it in an unusual way.
Please contact the application's support team for more information.

或者这个错误:

TclStackFree: incorrect freePtr. Call out of sequence?

This application has requested the Runtime to terminate it in an unusual way.
Please contact the application's support team for more information.

代码:

    import threading
import serial
from matplotlib.lines import Line2D
import matplotlib.pyplot as plt
import matplotlib.animation as animation

class listner(threading.Thread):

        def __init__(self,port):
            threading.Thread.__init__(self)
            self.sport=None
            self.is_running=True
            self.init_port(port)

        def run(self):
            print ' Reading from Port'
            while self.is_running:
                try:
                    self.sport.read(1)
                except:
                    print 'Error reading port'

        def init_port(self,port):
            print '1'
            if self.sport==None or not self.sport.is_open :
                try:

                    self.sport = serial.Serial(port,115200)
                    self.sport.timeout = 1
                    self.sport.reset_input_buffer()
                    self.sport.reset_output_buffer()
                    self.port_open=True
                except:
                    print "    Port error Listener Initing\n",self.port_open,'\n',self.sport
            else:
                pass

        def process(self):
            pass


class ui(threading.Thread):

        def __init__(self):
            threading.Thread.__init__(self)     
            self.running = True

        def run(self):

            print 'Starting UI:\n'
            while self.running:
                print ' Enter input ''S'':\n'
                user = raw_input()



def main(port):

        listner_thread = None
        try:
            listner_thread = listner(port)
            listner_thread.start();
        except:
            print "Listener Thread Failed To Start"
            return

        ui_thread=None
        try:
            ui_thread = ui()
            ui_thread.start()          
        except:
            print "UI Thread Failed To Start"
            return

        run_charts()



def run_charts():
        fig, (ax1, ax2) = plt.subplots(2, 1)

        scope1 = Scope(ax1)
        ani1 = animation.FuncAnimation(fig, scope1.update, emit_ch1, interval=10,blit=True)

        scope2 = Scope(ax2)
        ani2 = animation.FuncAnimation(fig, scope2.update, emit_ch2, interval=10,blit=True)

        plt.show()

def emit_ch1():
    yield 0.001

def emit_ch2():
    yield -0.001

class Scope(object):
        def __init__(self, ax, maxt=2, dt=0.02):
            self.ax = ax
            self.dt = dt
            self.maxt = maxt
            self.tdata = [0]
            self.ydata = [0]
            self.line = Line2D(self.tdata, self.ydata)
            self.ax.add_line(self.line)
            self.ax.set_ylim(-.009, 0.009)
            self.ax.set_xlim(0, self.maxt)

        def update(self, y):
            t = self.tdata[-1] + self.dt
            self.tdata.append(t)
            self.ydata.append(y)
            self.line.set_data(self.tdata, self.ydata)
            return self.line,



if __name__ == '__main__':
        main('COM11')

1 个答案:

答案 0 :(得分:2)

第一个错误,"致命的Python错误:GC对象已经被跟踪"于2013年关闭,状态为" CLOSED WONTFIX"请参阅Bugzilla上的bug report

在2015年[与dask相关]再次提出的临时解决方案似乎是use a single thread使用此代码:

   import dask
   dask.set_options(get=dask.async.get_sync)

但问题实际上存在dataframe.read_csv个问题。

在后来的熊猫版本中问题是eventually solved。如果您升级matplotlib的版本,问题很可能也会通过类似的修复解决。

希望这有帮助