基于的matplotlib的采集数据显示--添加线程支持

• 前面的例子中再扫描过程中按键响应后的扫描过程阻塞了主线程

    def onScanClicked( self ):
        dev = mrq.MRQ.MRQ( self.ui_deviceCombox.currentText() )

        fileName = os.path.split(__file__)[0] + "/" + "inverse.dat"

        (fAngle, fRange) = mrq.mrq_microstep_diagnosis.inverseScan( dev,
                                                  self.ui_chCombox.currentIndex(),
                                                  fileName )

        self.plotFile( fileName, fAngle, fRange )

• 为了改善UI响应，需要将扫描过程移到工作线程中
  • 引入threading

import threading

• 分离出扫描过程

def scanProc( self ):
        dev = mrq.MRQ.MRQ( self.ui_deviceCombox.currentText() )

        fileName = os.path.split(__file__)[0] + "/" + "inverse.dat"

        (fAngle, fRange) = mrq.mrq_microstep_diagnosis.inverseScan( dev,
                                                 self.ui_chCombox.currentIndex(),
                                                 fileName )

        self.plotFile( fileName, fAngle, fRange )

• 启动线程

def onScanClicked( self ):
        t = threading.Thread( target = self.scanProc )
        t.start()