Welcome to the Signalyzer Documentation¶

signalyzer is a Python package to analyze and process time-discrete, equidistant measured signals, and visualize them with the open source Plotly library for Python.

Main features of the signalyzer package are

transform and combine measured signals into a new one
descriptive statistics over the measured signal
interactive plotting of the measured signal with Plotly
integrating (accumulating) of the measured signal
differentiating of the measured signal
clipping of the measured signal
slew-rate limiting of the measured signal
filtering of the measured signal
smoothing of the measured signal with statistics
process measured signals with a moving window
moving averages with window statistics
moving differentiation
moving OLS linear regression with window statistics
shifting (moving) of the measured signal
slicing of the measured signal
evaluate statemachine transitions observed by measured state signal

Important

The signalyzer package is best used within the JupyterLab web-based interactive development environment for Jupyter notebooks or with Plotly Dash or Jupyter voila to build standalone web applications and dashboards.

Modules¶

The signalyzer package comes with two modules.

The trace module for transforming, processing, analyzing and plotting time-discrete, equidistant signals.

Note

The signalyzer.trace module is imported into the package namespace.

The statemachine module for evaluating and plotting state transitions of a state machine observed by a time-discrete, equidistant signal.

Note

The signalyzer.statemachine module is imported into the package namespace.

Dependencies¶

The Python package runs on Python 3.9 or higher and depends on the external packages:

numpy for mathematical computations
scipy for signal processing and signal statistics computations
pandas for data import and statistic computations
plotly for visualizations

You can get the latest version from the project PyPI package registry.