Python: Spectrum Analyzer
-
Moku:Go
Moku:Go Arbitrary Waveform Generator Moku:Go Data Logger Moku:Go Frequency Response Analyzer Moku:Go Logic Analyzer & Pattern Generator Moku:Go Oscilloscope & Voltmeter Moku:Go PID Controller Moku:Go Spectrum Analyzer Moku:Go Waveform Generator Moku:Go Power Supplies Moku:Go Digital Filter Box Moku:Go FIR Filter Builder Moku:Go Lock-in Amplifier Moku:Go General Moku:Go Logic Analyzer/Pattern Generator Moku:Go Time & Frequency Analyzer Moku:Go Laser Lock Box Moku:Go Phasemeter
-
Moku:Lab
Moku:Lab General Moku:Lab Arbitrary Waveform Generator Moku:Lab Data Logger Moku:Lab Digital Filter Box Moku:Lab FIR Filter Builder Moku:Lab Frequency Response Analyzer Moku:Lab Laser Lock Box Moku:Lab Lock-in Amplifier Moku:Lab Oscilloscope Moku:Lab Phasemeter Moku:Lab PID Controller Moku:Lab Spectrum Analyzer Moku:Lab Waveform Generator Moku:Lab Time & Frequency Analyzer Moku:Lab Logic Analyzer/Pattern Generator
-
Moku:Pro
Moku:Pro Arbitrary Waveform Generator Moku:Pro Data Logger Moku:Pro Frequency Response Analyzer Moku:Pro Oscilloscope Moku:Pro PID Controller Moku:Pro Spectrum Analyzer Moku:Pro Waveform Generator Moku:Pro Lock-in Amplifier Moku:Pro Digital Filter Box Moku:Pro FIR Filter Builder Moku:Pro Phasemeter Moku:Pro Multi-instrument Mode Moku:Pro General Moku:Pro Logic Analyzer/Pattern Generator Moku:Pro Time & Frequency Analyzer
- Python API
- MATLAB API
- Arbitrary Waveform Generator
- Data Logger
- Digital Filter Box
- FIR Filter Builder
- Frequency Response Analyzer
- Laser Lock Box
- Lock-in Amplifier
- Oscilloscope
- Phasemeter
- PID Controller
- Spectrum Analyzer
- Time & Frequency Analyzer
- Waveform Generator
- Logic Analyzer & Pattern Generator
- Multi Instrument Mode
- Moku Cloud Compile
- Moku general
- LabVIEW
Example Python script to implement the Spectrum Analyzer
For more Python examples, please refer to this link.
# # moku example: Plotting Spectrum Analyzer # # This example demonstrates how you can configure the Spectrum Analyzer # instrument and plot its spectrum data in real-time. # # (c) 2021 Liquid Instruments Pty. Ltd. # import logging import matplotlib.pyplot as plt from moku.instruments import SpectrumAnalyzer logging.basicConfig(format='%(asctime)s:%(name)s:%(levelname)s::%(message)s') logging.getLogger('moku_client').setLevel(logging.INFO) # Connect to your Moku by its ip address using SpectrumAnalyzer('192.168.###.###') # or by its serial number using SpectrumAnalyzer(serial=123) i = SpectrumAnalyzer('192.168.###.###', force_connect=False) try: # Configure the Spectrum Analyzer i.set_span(frequency1=0, frequency2=30e3) i.disable_output(1) i.set_rbw('Auto') # Auto-mode # Configure ADC inputs i.set_frontend(1, impedance='1MOhm', coupling='DC', range='10Vpp') i.set_frontend(2, impedance='1MOhm', coupling='DC', range='10Vpp') # Set up basic plot configurations line1, = plt.plot([]) line2, = plt.plot([]) plt.ion() plt.show() plt.grid(b=True) plt.ylim([-2, 2]) plt.autoscale(axis='x', tight=True) # Get an initial frame of data to set any frame-specific plot parameters frame = i.get_data() # Format the x-axis as a frequency scale ax = plt.gca() # Get and update the plot with new data while True: frame = i.get_data() # Set the frame data for each channel plot line1.set_ydata(frame['ch1']) line2.set_ydata(frame['ch2']) # Frequency axis shouldn't change, but to be sure line1.set_xdata(frame['frequency']) line2.set_xdata(frame['frequency']) # Ensure the frequency axis is a tight fit ax.relim() ax.autoscale_view() # Redraw the lines plt.draw() plt.pause(0.001) except Exception as e: print(f'Exception occurred: {e}') finally: # Close the connection to the Moku device # This ensures network resources and released correctly i.relinquish_ownership()