Example Python script to implement the Oscilloscope (plotting)
# pymoku example: Plotting Oscilloscope
#
# This example demonstrates how you can configure the Oscilloscope instrument,
# and view triggered time-voltage data frames in real-time.
#
# (c) 2019 Liquid Instruments Pty. Ltd.
#
from pymoku import Moku
from pymoku.instruments import Oscilloscope
import matplotlib.pyplot as plt
from matplotlib.ticker import FuncFormatter
# Connect to your Moku by its device name
# Alternatively, use Moku.get_by_serial('#####') or Moku('192.168.###.###')
m = Moku.get_by_name('Moku')
try:
i = m.deploy_or_connect(Oscilloscope)
# Trigger on input Channel 1, rising edge, 0V with 0.1V hysteresis
i.set_trigger('in1', 'rising', 0, hysteresis=0.1)
# View +-5usec, i.e. trigger in the centre
i.set_timebase(-5e-6, 5e-6)
# Generate an output sinewave on Channel 2, 500mVpp, 1MHz, 0V offset
i.gen_sinewave(2, 0.5, 1e6, 0)
# Set the data source of Channel 1 to be Input 1
i.set_source(1, 'in1')
# Set the data source of Channel 2 to the generated output sinewave
i.set_source(2, 'out2')
# Get initial data frame to set up plotting parameters. This can be done
# once if we know that the axes aren't going to change (otherwise we'd do
# this in the loop)
data = i.get_realtime_data()
# Set up the plotting parameters
plt.ion()
plt.show()
plt.grid(b=True)
plt.ylim([-1, 1])
plt.xlim([data.time[0], data.time[-1]])
line1, = plt.plot([])
line2, = plt.plot([])
# Configure labels for axes
ax = plt.gca()
ax.xaxis.set_major_formatter(FuncFormatter(data.get_xaxis_fmt))
ax.yaxis.set_major_formatter(FuncFormatter(data.get_yaxis_fmt))
ax.fmt_xdata = data.get_xcoord_fmt
ax.fmt_ydata = data.get_ycoord_fmt
# This loops continuously updates the plot with new data
while True:
# Get new data
data = i.get_realtime_data()
# Update the plot
line1.set_ydata(data.ch1)
line2.set_ydata(data.ch2)
line1.set_xdata(data.time)
line2.set_xdata(data.time)
plt.pause(0.001)
finally:
# Close the connection to the Moku device
# This ensures network resources and released correctly
m.close()