new_contents: #
  # pymoku example: Plotting Oscilloscope with pyqtgraph
  #
  # This example demonstrates how you can configure the Oscilloscope instrument,
  # and view triggered time-voltage data frames in real-time.
  #
  # pyqtgraph is used here as an alternative to matplotlib, it has more severe
  # dependencies (i.e. Qt libraries), but is capable of significantly higher
  # frame rates.
  #
  # (c) 2017 Liquid Instruments Pty. Ltd.
  #
  from pymoku import *
  from pymoku.instruments import Oscilloscope
  import time
  import pyqtgraph as pg
  
  from pyqtgraph.Qt import QtGui, QtCore
  
  # Connect to your Moku by its device name
  # Alternatively, use Moku.get_by_serial('#####') or Moku('192.168.###.###')
  m = Moku.get_by_name('Moku')
  i = m.deploy_or_connect(Oscilloscope)
  
  app = QtGui.QApplication([])
  
  try:
  	# Trigger on input Channel 1, rising edge, 0V with 0.1V hysteresis
  	i.set_trigger('in1', 'rising', 0, hysteresis=True)
  
  	 # View +- 1 second, i.e. trigger in the centre
  	i.set_timebase(-1,1)
  
  	# Generate an output sinewave on Channel 2, 500mVpp, 10Hz, 0V offset
  	i.gen_sinewave(2, 0.5, 5, 0)
  
  	# Set the data source of Channel 1 to be Input 1
  	i.set_source(1, 'in')
  
  	# Set the data source of Channel 2 to the generated output sinewave
  	i.set_source(2, 'out')
  
  	# Create one plot with two curves, drawn with two pens (different colours)
  	p = pg.plot()
  	line1 = p.plot(pen=(1,2))
  	line2 = p.plot(pen=(2,2))
  
  	# Called on an immediate-expiry timer from the QApplication main loop
  	def update():
  		global line1, line2
  		data = i.get_realtime_data()
  
  		# Update the plot
  		line1.setData(data.time, data.ch1)
  		line2.setData(data.time, data.ch2)
  
  	timer = QtCore.QTimer()
  	timer.timeout.connect(update)
  	timer.start(0)
  
  	QtGui.QApplication.instance().exec_()
  finally:
  	# Close the connection to the Moku device
  	# This ensures network resources and released correctly
  	m.close()
  
subject: Add an example showing how to plot in pyqtplot for a speed-increase compared to matplotlib