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_())
------------------------------------------------------------------------------
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