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Python: Frequency Response Analyzer (basic)

Written by Paul Cracknell

Updated at December 22nd, 2020

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Example Python script to implement the Frequency Response Analyzer (basic)

# pymoku example: Basic Frequency Response Analyzer
#
# This example demonstrates how you can generate output sweeps using the
# Frequency Response Analyzer instrument, and view transfer function data in
# real-time.
#
# (c) 2019 Liquid Instruments Pty. Ltd.
# 

from pymoku import Moku
from pymoku.instruments import FrequencyResponseAnalyzer

# 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:
 # Deploy the Frequency Response Analyzer to your Moku
 i = m.deploy_or_connect(FrequencyResponseAnalyzer)

 # Configure output sweep parameters (100Hz-20MHz)
 i.set_sweep(f_start=100, f_end=20e6, sweep_points=256)

 # Configure output sweep amplitudes
 # Channel 1 - 0.1Vpp
 # Channel 1 - 0.1Vpp
 i.set_output(1, 0.1)
 i.set_output(2, 0.1)

 # Start the sweep
 i.start_sweep(single=True)

 # Get a single sweep frame. This will block until the sweep is complete,
 # beware if your range includes low frequencies!
 frame = i.get_data()

 # Print out the data for Channel 1
 print(frame.ch1.magnitude_dB, frame.ch1.phase, frame.frequency)
finally:
 m.close()
moku:lab fra frequency response

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