Small and thin Python interface to read Les Houches Event (LHE) files
To install pylhe from PyPI you can just do
python -m pip install pylhe
The visualization capabilities require the external dependency of Graphviz.
The example below provides a simple overview.
Full functionality can be inspected from the functions provided in the pylhe module.
import itertools
# You can use LHE files from scikit-hep-testdata
from skhep_testdata import data_path
import pylhe
lhe_file = data_path("pylhe-testlhef3.lhe")
events = pylhe.read_lhe_with_attributes(lhe_file)
print(f"Number of events: {pylhe.read_num_events(lhe_file)}")
# Get event 1
event = next(itertools.islice(events, 1, 2))
# A DOT language graph of the event can be inspected as follows
print(event.graph.source)
# The graph is nicely displayed as SVG in Jupyter notebooks
event
# To save a DOT graph render the graph to a supported image format
# (refer to the Graphviz documentation for more)
event.graph.render(filename="test", format="png", cleanup=True)
event.graph.render(filename="test", format="pdf", cleanup=True)The preferred BibTeX entry for citation of pylhe is
@software{pylhe,
author = {Lukas Heinrich and Matthew Feickert and Eduardo Rodrigues},
title = "{pylhe: v0.6.0}",
version = {v0.6.0},
doi = {10.5281/zenodo.1217031},
url = {https://github.com/scikit-hep/pylhe},
}
We hereby acknowledge the contributors that made this project possible (emoji key):
Matthew Feickert 🚧 🎨 💻 📖 |
Lukas 🚧 🎨 💻 📖 |
Eduardo Rodrigues 🚧 💻 📖 |
Johannes Schumann 💻 |
Henry Schreiner 💻 |
ariaradick 💻 |
Junghwan John Goh 💻 |
fuenfundachtzig 💻 |
Shantanu Gontia 💻 |
Tom Eichlersmith 💻 |
This project follows the all-contributors specification.