https://github.com/bcliang/gamry-parser
Package for parsing the contents of Gamry EXPLAIN data (DTA) files
https://github.com/bcliang/gamry-parser
chronoamperometry cyclic-voltammetry eis electrochemistry explain gamry parser python
Last synced: 17 days ago
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Package for parsing the contents of Gamry EXPLAIN data (DTA) files
- Host: GitHub
- URL: https://github.com/bcliang/gamry-parser
- Owner: bcliang
- License: mit
- Created: 2019-03-10T14:02:55.000Z (almost 7 years ago)
- Default Branch: master
- Last Pushed: 2024-02-29T16:49:45.000Z (almost 2 years ago)
- Last Synced: 2025-10-27T08:32:25.880Z (3 months ago)
- Topics: chronoamperometry, cyclic-voltammetry, eis, electrochemistry, explain, gamry, parser, python
- Language: Python
- Size: 144 KB
- Stars: 10
- Watchers: 0
- Forks: 10
- Open Issues: 6
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- License: LICENSE
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README
# gamry-parser
[](https://pypi.org/project/gamry-parser/)
[](./LICENSE)
Python package for parsing the contents of Gamry EXPLAIN data (DTA) files. This package is meant to convert flat-file EXPLAIN data into pandas DataFrames for easy analysis and visualization.
## Getting Started
### Dependencies
* pandas
### Installation
#### Package from PyPi
```bash
$ pip install gamry-parser
```
#### Local Installation
1. Check out the latest code:
```bash
$ git clone git@github.com:bcliang/gamry-parser.git
```
2. Use setuptools to install the package
```bash
$ python setup.py install
```
### Usage
The provided Usage example loads a CV DTA file two ways, and demonstrates the utility of class properties within the CyclicVoltammetry subclass (`v_range`, `scan_rate`)
```bash
$ python usage.py
```
#### GamryParser Example
The following snippet loads a DTA file and prints to screen: (1) experiment type, (2) # of curves, and (3) a random curve in the form of a pandas DataFrame.
```python
import gamry_parser as parser
import random
file = '/enter/the/file/path.dta'
gp = parser.GamryParser()
gp.load(filename=file)
print("experiment type: {}".format(gp.experiment_type))
print("loaded curves: {}".format(gp.curve_count))
curve_index = random.randint(1,gp.curve_count)
print("showing curve #{}".format(curve_index))
print(gp.curve(curve_index))
```
#### ChronoAmperometry Example
The `ChronoAmperometry` class is a subclass of `GamryParser`. Executing the method `get_curve_data()` will return a DataFrame with three columns: (1) `T`, (2) `Vf`, and (3) `Im`
In the example, the file is expected to be a simple chronoamperometry experiment (single step, no preconditioning); there will only be a single curve of data contained within the file. In addition, note the use of the `to_timestamp` property, which allows the user to request `get_curve_data` to return a DataFrame with a `T` column containing DateTime objects (as opposed to the default: float seconds since start).
```python
import gamry_parser as parser
import random
file = '/enter/the/file/path.dta'
ca = parser.ChronoAmperometry(to_timestamp=True)
ca.load(filename=file)
print(ca.curve())
```
#### Demos
A simple demonstration is provided in `usage.py`.
`python usage.py`
ipython notebook demonstration scripts are included in the `demo` folder.
- `notebook_gamry_parser.ipynb`: Simple example loading data from ChronoA experiment output. Instead of `gamry_parser.GamryParser()`, the parser could be instantiated with `gamry_parser.ChronoAmperometry()`
- `notebook_cyclicvoltammetry.ipynb`: Example loading data from a CV (cyclic voltammetry) experiment output. Uses the `gamry_parser.CyclicVoltammetry()` subclass.
- `notebook_cyclicvoltammetry_peakdetect.ipynb`: Another example that demonstrates loading CV data and detecting peaks in the data using `scipy.signal.find_peaks()`
- `notebook_potentiostatic_eis.ipynb`: Example loading data from an EIS (electrochemical impedance spectroscopy) experiment. Uses the `gamry_parser.Impedance()` subclass.
#### Additional Examples
Similar procedure should be followed for using the `gamry_parser.CyclicVoltammetry()`, `gamry_parser.Impedance()`, `gamry_parser.OpenCircuitPotential()`, `gamry_parser.SquareWaveVoltammetry()` and `gamry_parser.VFP600()` parser subclasses. Take a look at `usage.py` and in `tests/` for some additional usage examples.
## Development
### Project Tree
```
.
├── gamry_parser # source files
│ ├── ...
│ ├── chronoa.py # ChronoAmperometry() experiment parser
│ ├── cv.py # CyclicVoltammetry() experiment parser
│ ├── eispot.py # Impedance() experiment parser
| ├── gamryparser.py # GamryParser: generic DTA file parser
│ ├── ocp.py # OpenCircuitPotential() experiment parser
│ ├── squarewave.py # SquareWaveVoltammetry() experiment parser
| └── vfp600.py # VFP600() parses experiment data generated by the Gamry VFP600 LabView Frontend.
├── tests # unit tests and test data
| └── ...
├── setup.py # setuptools configuration
└── ...
```
### Roadmap
Documentation! Loading of data is straightforward, and hopefully the examples provided in this README provide enough context for any of the subclasses to be used/extended.
In the future, it would be nice to add support for things like equivalent circuit modeling, though at the moment there are other projects focused specifically on building out models and fitting EIS data (e.g. [kbknudsen/PyEIS](https://github.com/kbknudsen/PyEIS), [ECSHackWeek/impedance.py](https://github.com/ECSHackWeek/impedance.py)).
#### Changelog
See [`CHANGELOG`](CHANGELOG.md)
### Tests
[](https://github.com/bcliang/gamry-parser/actions/workflows/unittest.yml)
Tests extending `unittest.TestCase` may be found in `/tests/`.
Unit tests are triggered as part of every pull request, but users can run tests locally as well:
```bash
$ tox
```
Alternatively, run `pytest` from your virtualenv (use the `-k` flag to filter tests)
```bash
$ pytest
$ pytest -v -k "test_getters"
```
### Code Guidelines
[](https://github.com/bcliang/gamry-parser/actions/workflows/lint.yml)
* [GitHub flow](https://guides.github.com/introduction/flow/) for proposing changes (i.e. create a feature branch and submit a PR against the master branch).
* Coding style: Pycodestyle formatting (PEP8). Linting via `black` is run on each push to github.
* Tests: maintain > 90% line coverage, per file
### Versioning
[SemVer](http://semver.org/) for versioning.
1. Matching major version numbers are guaranteed to work together.
2. Any change to the public API (breaking change) will increase a major version.
### Publishing
[](https://github.com/bcliang/gamry-parser/actions/workflows/release.yml)
The package relies on Github Actions to automatically build and upload artifacts to pypi upon published release.
#### Manual publishing (deprecated)
Use setuptools to build, twine to publish to pypi.
```bash
$ rm -rf dist
$ python setup.py build
$ python setup.py sdist bdist_wheel
$ twine upload dist/*
```
## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE.md) file for details