impedance 0.2.0

A Python package for working with impedance data

impedance.py

impedance.py is a Python module for working with impedance data.

This project started at the 2018 Electrochemical Society (ECS) Hack Week in Seattle and has grown from there.

Using a scikit-learn-like API, we hope to make visualizing, fitting, and analyzing impedance spectra more intuitive and reproducible.

impedance.py is currently in a beta phase and new features are rapidly being added. If you have a feature request or find a bug, please feel free to file an issue or, better yet, make the code improvements and submit a pull request! The goal is to build an open-source tool that the entire impedance community can improve and use!

impedance.py currently provides:

• a simple API for fitting, predicting, and plotting impedance
• validation methods for checking measurement validity
• equivalent circuit fitting with customizable models
• convenient Nyquist plots including confidence interval estimation for fit circuits

several features are currently being improved upon:

• interactive plotting with altair
• physics-based impedance models for lithium-ion batteries

Installation

Dependencies

impedance.py requires:

• Python (>=3.5)
• SciPy (>=1.0)
• NumPy (>=1.14)
• Matplotlib (>=3.0)

Several example notebooks are provided in the examples/ directory. Opening these will require Jupyter notebook or Jupyter lab.

User Installation

The easiest way to install impedance.py is using pip:

pip install impedance

Examples and Documentation

Several examples can be found in the examples/ directory (the fitting_tutorial.ipynb is a great place to start) and the documentation can be found at impedancepy.readthedocs.io.