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https://github.com/ex-mech/pymech
A Python software suite for Nek5000 and SIMSON
https://github.com/ex-mech/pymech
closember io nek5000 numpy simson xarray
Last synced: 4 days ago
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A Python software suite for Nek5000 and SIMSON
- Host: GitHub
- URL: https://github.com/ex-mech/pymech
- Owner: eX-Mech
- License: gpl-3.0
- Created: 2016-01-27T14:02:53.000Z (almost 9 years ago)
- Default Branch: main
- Last Pushed: 2025-01-07T23:26:19.000Z (18 days ago)
- Last Synced: 2025-01-20T14:46:38.687Z (6 days ago)
- Topics: closember, io, nek5000, numpy, simson, xarray
- Language: Python
- Homepage: https://pymech.readthedocs.io/en/stable
- Size: 12.6 MB
- Stars: 26
- Watchers: 6
- Forks: 24
- Open Issues: 15
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Citation: CITATION.cff
Awesome Lists containing this project
README
# Pymech
[![PyPI](https://img.shields.io/pypi/v/pymech)](https://pypi.org/project/pymech/)
[![Build Status](https://img.shields.io/github/actions/workflow/status/eX-Mech/pymech/build.yaml?branch=main)](https://github.com/eX-Mech/pymech/actions)
[![pre-commit.ci status](https://results.pre-commit.ci/badge/github/eX-Mech/pymech/main.svg)](https://results.pre-commit.ci/latest/github/eX-Mech/pymech/main)
[![Coverage Status](https://coveralls.io/repos/github/eX-Mech/pymech/badge.svg)](https://coveralls.io/github/eX-Mech/pymech)
[![Documentation Status](https://readthedocs.org/projects/pymech/badge/?version=latest)](http://pymech.readthedocs.org/en/stable/)
[![DOI](https://zenodo.org/badge/50511298.svg)](https://zenodo.org/badge/latestdoi/50511298)A Python suite of routines for [Nek5000] and [SIMSON]. Install with:
```
pip install pymech
```Read the full documentation at [Pymech doc](http://pymech.readthedocs.io/en/stable).
## Getting started
For some quick wins, download some sample data
```sh
curl -fLO https://raw.githubusercontent.com/eX-Mech/pymech-test-data/main/nek/channel3D_0.f00001
```Fire up a Python / IPython console and execute:
```py
import matplotlib.pyplot as plt
import pymech as pmds = pm.open_dataset('channel3D_0.f00001')
ds.mean(['x', 'z']).ux.plot()
plt.show()
```You should see something like
![](https://pymech.readthedocs.io/en/stable/_images/usage_37_1.png)
For an overview of how to use pymech, [follow the usage
documentation](https://pymech.readthedocs.io/en/stable/usage.html).## Contributing
Found something that does not work? Want to add a new feature to pymech? Have a
look at [contributing
guidelines](https://pymech.readthedocs.io/en/stable/contributing.html).[Nek5000]: https://nek5000.mcs.anl.gov/
[SIMSON]: https://github.com/KTH-Nek5000/SIMSON/