[Matplotlib-users] [Matplotlib] Autoscale soesn't work

[Fabien L. <laf...@gm...>]

I'm using an example from Sandro's Tosi book. I've just modified it to
use random data instead cpu_datas.

But the autoscale doesn't work even if I turn
self.ax.set_autoscale_on(True). Do you have an Idea why?




from pylab import *
import random

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)
        FigureCanvas.updateGeometry(self)
        # 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.set_autoscale_on(True)

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

        # start the timer, to trigger an event every x milliseconds)
        self.timer = self.startTimer(1000)
        self.timerEvent(None)


    def get_info(self):
        val1 = random.randint(0,4)
        return [val1]
	
    def get_info2(self) :
        val2 = random.randint(0,12)
        return [val2]

    def timerEvent(self, evt):
        """Custom timerEvent code, called upon timer event receive"""
        result1 = self.get_info()
        result2 = self.get_info2()

#          append new data to the datasets
        self.user.append(result1)
        self.nice.append(result2)
        # update lines data using the lists with new data
        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)



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



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_())