lisspyscope 0.1.1

Generate, visualise and analyse Lissajous figures using python and oscilloscope.

lisspyscope

A compact Python library for synthesising, visualising and analysing Lissajous figures.

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Overview

lisspyscope produces phase–accurate, gap-free stereo signals whose x-y trace on an oscilloscope forms a mathematically closed Lissajous curve.

It was developed to support undergraduate laboratories on coupled oscillations and phase relationships. The library provides reproducible, phase-accurate audio–visual stimuli that align with learning objectives in introductory and intermediate physics courses.

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Installation

# audio only
pip install lisspyscope

# audio + plotting support
pip install lisspyscope[plot]

All wheels are pure-Python; no compilation step is required.

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Core Features

• Auto-closing buffers The generator computes the least-common-multiple of channel periods so every trace starts and ends at identical phase.
• Exact single-buffer looping Continuous playback uses the same closed buffer, ensuring no clicks, drifts or cumulative phase error.
• Lightweight dependency stack
• Deterministic output – Given identical parameters and NumPy version, the generated buffer is bit-for-bit reproducible.

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API Summary

Function	Purpose	Key Parameters
generate_lissajous()	Return (buffer, sr)—float32 stereo NumPy array.	base_freq, l_fact, r_fact, phase_deg, sr
play_lissajous()	Loop the buffer indefinitely (blocking).	as above
plot_lissajous()	Render the trace with Matplotlib.	as above

Parameter Reference

Name	Type	Default	Meaning
base_freq	float	1,000 Hz	Base frequency
l_fact	int	1	Left/X multiplier f_x = l_fact . base_freq
r_fact	int	1	Right/Y multiplier f_y = r_fact . base_freq
phase_deg	float	90°	Phase offset of f_y.
sr	int	48,000	Sample rate (samples s⁻¹).

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Minimal Working Examples

import lisspyscope as ls

# 1. Classic circle (1 : 1, 90°)
ls.plot_lissajous()        # non-blocking figure
ls.play_lissajous()        # endless tone, Ctrl-C to stop

# 2. Generate waves with 1 : 3 frequency ratio with 45° phase
ls.plot_lissajous(base_freq=500, l_fact=1, r_fact=3, phase_deg=45)

# 3. Retrieve closed buffer for custom analysis
buf, sr = ls.generate_lissajous(base_freq=250, l_fact=1, r_fact=4, phase_deg=0)
# buf.shape → (192, 2) for 250 Hz at 48 kHz

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License

MIT—you are free to use, modify and distribute, provided the copyright notice is retained.