Skip to main content

On-the-fly generator of space-group irreducible representations

Project description

spgrep

testing pre-commit.ci status codecov License PyPI - Python Version PyPI version PyPI Downloads Lines of code

spgrep is a Python package of on-the-fly generator of space-group irreducible representations.

Features

  • Calculate irreducible representations (irreps) of space groups from spglib’s cell and kpoints
  • Calculate irreps of crystallographic point groups
  • Calculate physically irreducible representations (irreps over real numbers)
  • Find symmetry-adapted basis forming given irreps
  • Minimal dependencies (numpy and spglib)

Usage

from spgrep import get_spacegroup_irreps
from spgrep.representation import get_character

# Rutile structure (https://materialsproject.org/materials/mp-2657/)
# P4_2/mnm (No. 136)
a = 4.603
c = 2.969
x_4f = 0.3046
lattice = [
    [a, 0, 0],
    [0, a, 0],
    [0, 0, c],
]
positions = [
    [0, 0, 0],  # Ti(2a)
    [0.5, 0.5, 0.5],  # Ti(2a)
    [x_4f, x_4f, 0],  # O(4f)
    [-x_4f, -x_4f, 0],  # O(4f)
    [-x_4f + 0.5, x_4f + 0.5, 0.5],  # O(4f)
    [x_4f + 0.5, -x_4f + 0.5, 0.5],  # O(4f)
]
numbers = [0, 0, 1, 1, 1, 1]

kpoint = [0.5, 0, 0]  # X point
irreps, rotations, translations, mapping_little_group = get_spacegroup_irreps(
    lattice, positions, numbers, kpoint
)

# Symmetry operations by spglib
assert len(rotations) == 16
assert len(translations) == 16

# At X point, the little co-group is isomorphic to mmm (order=8)
assert len(mapping_little_group) == 8
print(mapping_little_group)  # [ 0,  1,  4,  5,  8,  9, 12, 13]

# Two two-dimensional irreps
for irrep in irreps:
    print(get_character(irrep))
# [2.+0.j 0.+0.j 0.+0.j 2.+0.j 0.+0.j 0.+0.j 0.+0.j 0.+0.j]
# [2.+0.j 0.+0.j 0.+0.j -2.+0.j 0.+0.j 0.+0.j 0.+0.j 0.+0.j]

See docs/examples for more detailed use cases.

Installation

conda create -n spgrep python=3.10 pip
conda activate spgrep
git clone git@github.com:spglib/spgrep.git
cd spgrep
pip install -e .

License

spgrep is released under a BSD 3-clause license.

Development

Installation

conda create -n spgrep python=3.10 pip
conda activate spgrep
git clone git@github.com:spglib/spgrep.git
cd spgrep
pip install -e ".[dev,docs]"
pre-commit install

# Run pre-commit manually
pre-commit run --all-file 

Document

sphinx-autobuild docs docs_build
# open localhost:8000 in your browser

Release

# Confirm the version number via `setuptools-scm`
python -m setuptools_scm
# Test a release version at rc branch
git checkout rc

# Update changelog here

# Push with tag
git tag <next-version>
git push --follow-tags origin rc

# Merge to main
git checkout main
git merge rc
git push --follow-tags origin main

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

spgrep-0.2.10.tar.gz (69.4 kB view details)

Uploaded Source

Built Distribution

spgrep-0.2.10-py3-none-any.whl (3.9 kB view details)

Uploaded Python 3

File details

Details for the file spgrep-0.2.10.tar.gz.

File metadata

  • Download URL: spgrep-0.2.10.tar.gz
  • Upload date:
  • Size: 69.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for spgrep-0.2.10.tar.gz
Algorithm Hash digest
SHA256 7a411c3049eb8b569d276c920edf63abe4dadd7eb05a346ec917594e61c57976
MD5 4765fc67dc0fc0823310ef2752c7a8a0
BLAKE2b-256 4d3670c25f522e473e046c61b6f3f9f0dfc300592259502dd5eea91bf42ee7e5

See more details on using hashes here.

File details

Details for the file spgrep-0.2.10-py3-none-any.whl.

File metadata

  • Download URL: spgrep-0.2.10-py3-none-any.whl
  • Upload date:
  • Size: 3.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for spgrep-0.2.10-py3-none-any.whl
Algorithm Hash digest
SHA256 85c90d976a34df5fb5ad0b917aa1b571539f5ff6d8e7946c98cb6a10b9c6b8b8
MD5 81d81fb624ec4d4b7f2bde1a33005b84
BLAKE2b-256 471a64b662f1bb0745776858dd53b9387dc2826532f2c3c2c2eb1af09bd7674c

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page