signalyzer 0.2.1

Signal analyzer for time-discrete, equidistant measured signals

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Signalyzer

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 JupyterLab a web-based interactive development environment for Jupyter notebooks or with Plotly Dash or Jupyter voila to build standalone web applications and dashboards.

Table of Contents

1. Project Status
2. Project Structure
3. Getting Started
   • Dependencies
   • Installation
   • Usage
4. Development
   • Getting the Source
   • Building a Distribution
   • Building the Documentation
5. Release Process
   • Versioning
6. Documentation
7. Contributing
8. License
9. Authors

Project Status

This project is a work in progress and far away from stable. Feedback is always welcomed!

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Project Structure

The project is organized in sub-folders.

• docs/: Sphinx documentation
• notebooks/: Jupyter notebooks
• src/signalyzer/: Package sources
  • signalyzer/trace: Trace module sources
  • signalyzer/statemachine: Statemachine module sources

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Getting Started

Dependencies

The signalyzer package requires at least Python 3.9 and depends on the external packages:

• numpy
• scipy
• pandas
• plotly

Installation

The project can be installed from PyPI using pip

> pip install signalyzer

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Usage

Please read the online documentation hosted on "Read The Docs".

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Development

Getting the Source

This project is hosted on gitlab. You can clone this project directly using this command:

> git clone https://gitlab.com/signalytics/signalyzer.git

Building a Distribution

To build a distribution of this project local, use this command:

> make build

The generated the distribution artifacts can be found in the ./dist folder of the cloned project on your machine.

Building the Documentation

Building the documentation requires Sphinx, the Furo theme, the Sphinx extensions sphinx-copybutton, sphinx-panels and sphinx-plotly-directive

The required Python packages can be installed on your local machine using pip, use this commands:

> pip install sphinx
> pip install furo
> pip install sphinx-copybutton
> pip install sphinx-panels
> pip install sphinx-plotly-directive

To build the documentation of this project local, use this command:

> make docs

The generated HTML documentation artifact can be found in the ./docs/_build/html folder of the cloned project on your machine.

Release Process

Versioning

This project uses Semantic Versioning. For a list of available versions, see the repository tag list.

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Documentation

The documentation for the latest repository build is hosted on the GitLab Pages of the project.

The documentations of the project releases are hosted on Read The Docs.

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Contributing

If you are interested to contribute code or documentation to the project, please take a look at the contributing guidelines for details on our development process.

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License

The project is licensed under the revised 3-Clause BSD License.

See LICENSE.

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Authors

• Jochen Gerhäußer

See also the list of contributors who participated in this project.

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