EIS Fitting
EIS Fitting is a desktop application for exploring, cleaning, and fitting
electrochemical impedance spectroscopy (EIS) data exported by BioLogic as
.mpt (PEIS) files. It combines an interactive Nyquist plot with circuit
parameter editing, cycle-aware analysis, DRT-assisted outlier detection, and
batch fitting, so spectra can be reviewed and fitted without leaving the GUI.
The application:
- Supports multiple files and multiple measurement cycles
- Displays spectra beside an editable equivalent-circuit parameter table
- Lets you include or exclude individual points while preserving cycle state
- Runs fitting and outlier detection in the background so the GUI stays responsive
- Uses
bayes-drt2ridge analysis to identify outliers and initialize circuit fits - Compares measured and fitted points at identical frequencies with residual connectors
- Provides a sortable spectra explorer for cycle and acquisition metadata
- Exports fitted parameters and spectrum metadata to CSV and a ready-to-run Python script
Installation
Requirements
- Windows, macOS, or Linux with a desktop environment
- Python 3.14 or newer
uv, the environment and dependency manager used by this project
Install from GitHub
In PowerShell, Terminal, or a shell:
git clone https://github.com/jaroslav-herman/EIS_fitting.git
cd EIS_fitting
uv sync
uv sync creates the project environment and installs the versions recorded
in uv.lock, including the required EIS and DRT libraries. Re-run it after
pulling changes to update the environment.
Start the application
From the repository directory, run:
uv run python main.py
To open a BioLogic file immediately and select a cycle:
uv run python main.py PEIS_at_N2_flow_80_sccm_automated_01_PEIS.mpt --cycle 1
On Windows, run_gui.cmd can also be double-clicked. It checks that uv is
available and starts the application from the repository directory.
If uv is not available, install it using the official instructions linked
above, then open a new terminal and repeat uv sync.
Run
The command-line entry point also accepts options for the initial control channel, outlier threshold, and equivalent-circuit model:
uv run python main.py PEIS_at_N2_flow_80_sccm_automated_01_PEIS.mpt --cycle 1 --threshold 1.0 --circuit "R0-L0-p(R1,CPE1)"
GUI controls
- Click a point: toggle include/exclude
- Cycle arrows or selector: move between cycles
- Spectra explorer: select a spectrum or sort rows by source file, cycle, voltage, current, point count, or frequency limits
- Fitting model: select a preset or enter an
impedance.pycircuit string, then set it - Apply to current cycle: use the frequency range only for the displayed spectrum
- Apply to all cycles: use the frequency range for every spectrum in the file
- Outliers: current: run the bayes-drt2 ridge analysis on active points only, apply its outlier mask without reactivating excluded points, and initialize the EEC fit from its ohmic resistance, inductance, and strongest DRT peaks
- Outliers: all cycles: perform the same active-point analysis and EEC initialization for every spectrum in the background
- Fit spectrum: fit included points with the parameter table values
- Batch fit from current: fit toward higher cycles, using each result to initialize the next
- Export to Python: save fitted parameters and spectrum metadata from all loaded files to CSV, create a ready-to-run pandas script, and open it in VS Code or another available editor
- Reset points: include all points and clear detected outliers
The File menu contains additive multi-file data import, project load/save, mask saving, fit-parameter and Python-workspace exports, and exit commands. Import accepts several .mpt files at once and keeps previously loaded spectra.
The Fit menu fits the selected spectrum or batch-fits upward/downward through the explorer's visible order. Metadata-limited batches use the last clicked numeric explorer column and stop at its nearest available target value.
Outlier detection never runs automatically. Cycle state is retained while the GUI is open.
Keyboard shortcuts:
Alt+A: copy fitted values from the previous cycle into the current initial valuesAlt+D: copy fitted values from the next cycle into the current initial valuesAlt+S: fit the selected spectrumCtrl+O: import another.mptdata fileCtrl+Shift+O: load an EIS fitting projectCtrl+S: save the EIS fitting project
Code structure
eis_model.py: GUI-independent project and per-cycle stateeis_services.py: file loading, outlier detection, and fitting operationseis_project.py: versioned project persistence and fit CSV exporteis_gui.py: Tk interface, plot rendering, and event coordinationmain.py: command-line entry point
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file eisyfit-0.1.3.tar.gz.
File metadata
- Download URL: eisyfit-0.1.3.tar.gz
- Upload date:
- Size: 254.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via:
uv/0.12.6 {"installer":{"name":"uv","version":"0.12.6","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
74eb21cebe4f3574e55edcae3f011c261f950391fd0bf5e50b76213e465ee214
|
|
| MD5 |
933b3cce53b46b9d3f65d9c0f2d35d1c
|
|
| BLAKE2b-256 |
08d802510faec1a104f03e15f8647d1d13d2771f452d54be380d5e08704c9dfc
|
File details
Details for the file eisyfit-0.1.3-py3-none-any.whl.
File metadata
- Download URL: eisyfit-0.1.3-py3-none-any.whl
- Upload date:
- Size: 277.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via:
uv/0.12.6 {"installer":{"name":"uv","version":"0.12.6","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
9edc3653894d25fa98747a9c226f27ebbafb6098da67c68d49d7e47df663d892
|
|
| MD5 |
da5ab1a65435638d63ac62f24e166203
|
|
| BLAKE2b-256 |
4a724c8eda2089f50e67063e5b73ce4077b11152bf21dccc23f48b9202cd347e
|