Hello everyone, I'm trying to plot live data extracting from remote
devices (here it's simulated by get_info1 and 2 the result is always
0.8 or 0.9

I can't understand why it doesnt plot the graph at the end of the
while loop. Does somebody has an idea?

#!/usr/bin/env python

from visa import *
from pylab import *
import sys
from PyQt4 import QtGui
import numpy as np
from matplotlib.figure import Figure
from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.backends.backend_qt4agg import NavigationToolbar2QTAgg
as NavigationToolbar

#===============================================================================
#
#===============================================================================

class CPUMonitor(FigureCanvas):
    """Matplotlib Figure widget"""
    def __init__(self,parent):

        # first image setup
        self.fig = Figure()
        self.ax = self.fig.add_subplot(111)
        # initialization of the canvas
        FigureCanvas.__init__(self, self.fig)
        # set specific limits for X and Y axes
        self.ax.set_xlim(0, 2)
        self.ax.set_ylim(0, 1.5)


        # generates first "empty" plots
        self.user, self.nice = [], []
        self.l_user, = self.ax.plot([], self.user, label='Voltage')
        self.l_nice, = self.ax.plot([], self.nice, label='Voltage2')



        self.ax.legend()

        # force a redraw of the Figure
        self.fig.canvas.draw()

        self.principal()




    def principal(self) :
        stop = 0
        while stop==0 :
            time.sleep(1)
            self.set_voltage()
            time.sleep(1)
            result1 = self.get_info()
            result2 = self.get_info2()

#          append new data to the datasets
            self.user.append(result1)
            self.nice.append(result2)

        self.l_user.set_data(range(len(self.user)), self.user)
        self.l_nice.set_data(range(len(self.nice)), self.nice)
        
        # force a redraw of the Figure

        self.fig.canvas.draw()
        FigureCanvas.updateGeometry(self)

    def get_info(self):
        return [0.8]
        
    def get_info2(self) :
        return [0.9]

    def set_voltage(self) :
        print "ok"




#===============================================================================
#
#===============================================================================



class ApplicationWindow(QtGui.QMainWindow):
    """Example main window"""
    def __init__(self):
        # initialization of Qt MainWindow widget
        QtGui.QMainWindow.__init__(self)
        # set window title
        self.setWindowTitle("QHE manip")
        # instantiate a widget, it will be the main one
        self.main_widget = QtGui.QWidget(self)
        # create a vertical box layout widget
        vbl = QtGui.QVBoxLayout(self.main_widget)
        # instantiate our Matplotlib canvas widget
        qmc = CPUMonitor(self.main_widget)
        # instantiate the navigation toolbar
        ntb = NavigationToolbar(qmc, self.main_widget)
        # pack these widget into the vertical box
        vbl.addWidget(qmc)
        vbl.addWidget(ntb)

        # set the focus on the main widget
        self.main_widget.setFocus()
        # set the central widget of MainWindow to main_widget
        self.setCentralWidget(self.main_widget)

# create the GUI application
qApp = QtGui.QApplication(sys.argv)
# instantiate the ApplicationWindow widget
aw = ApplicationWindow()
# show the widget
aw.show()
# start the Qt main loop execution, exiting from this script
# with the same return code of Qt application
sys.exit(qApp.exec_())

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