Skip to main content

A widget to visualize and interact with atomistic structures in Jupyter Notebook.

Project description

Welcome to WEAS Widget!

PyPI version Docs status Unit test

A widget to visualize and edit atomic structures in Jupyter Notebooks. It uses WEAS (Web Environment For Atomistic Structure) in the backend.

Features:

  • Model: space-filling, ball-stick, polyhedral.
  • Supports importing data from ASE and Pymatgen.
  • Edit structure: move, rotate, delete and replace atoms.
  • Supports periodic boundary conditions
  • Animations
  • Isosurfaces
  • Vector fields, e.g., magnetic moments, phonons, ...

Installation

With pip:

pip install weas-widget

To install the latest version from source, first clone the repository and then install using pip:

git clone https://github.com/superstar54/weas-widget
cd weas-widget
npm install
npm run build
pip install -e .

How to use

from ase.build import molecule
from weas_widget import WeasWidget
atoms = molecule("C2H6SO")
viewer = WeasWidget()
viewer.from_ase(atoms)
viewer

Full documentation at: https://weas-widget.readthedocs.io/en/latest/index.html

Reporting issues

If you encounter any problems, please first update the widget to the latest version.

    pip install weas-widget  --upgrade

If the problem persists, please open a GitHub issue

Features

Select Atoms

  • Pick Selection: Click directly on an atom to select it.
  • Range Selection: Hold the Shift key and drag the right mouse button to select a group of atoms.

Move, Rotate selected atoms

Press the keyboard shortcut, and move your mouse.

Operation Shortcut
Move g
Rotate r
Duplicate d

Delete selected atoms

Press the Delete key

Export

  • Export the modified atomic structure to ASE or Pymatgen
atoms = viewer.to_ase()
  • Save image to a path by:
viewer.save_image("/home/xing/filename.png")
  • Download image by:
viewer.download_image("filename.png")

Visualizing crystal structures

For a nice visualization of a crystal, show

  • unit cell
  • bonded atoms outside the cell
  • polyhedra
from weas_widget import WeasWidget
viewer1 = WeasWidget()
viewer1.load_example("tio2.cif")
viewer1.avr.model_style = 2
viewer1.avr.boundary = [[-0.1, 1.1], [-0.1, 1.1], [-0.1, 1.1]]
viewer1.avr.show_bonded_atoms = True
viewer1.avr.color_type = "VESTA"
viewer1

Isosurfaces

from ase.build import molecule
from weas_widget import WeasWidget
from ase.io.cube import read_cube_data
volume, atoms = read_cube_data("h2o-homo.cube")
viewer = WeasWidget()
viewer.from_ase(atoms)
viewer.avr.iso.volumetric_data = {"values": volume}
viewer.avr.iso.settings = [{"isovalue": 0.0001, "mode": 0}]
viewer

Magnetic moments

Show the magnetic moments as a vector field.

from ase.build import bulk
from weas_widget import WeasWidget
import numpy as np
atoms = bulk("Fe", cubic=True)
atoms*=[2, 2, 1]
atoms.set_array("moment", np.ones(len(atoms)))
viewer = WeasWidget()
viewer.from_ase(atoms)
viewer.avr.model_style = 1
viewer

Phonons

Animate vibrational (phonon) modes (computed with external software).

import numpy as np
from ase.build import bulk
from weas_widget import WeasWidget
from weas_widget.utils import generate_phonon_trajectory

atoms = bulk("Fe", cubic=True)
eigenvector = np.array([[0, -0.0, 0.5], [0, 0.0, -0.5]])
trajectory = generate_phonon_trajectory(atoms, eigenvector, repeat=[4, 4, 1])
viewer = WeasWidget()
viewer.from_ase(trajectory)
# set a vector field to show the arrow
viewer.avr.vf.settings = [{"origins": "positions", "vectors": "movement", "radius": 0.1}]
viewer.avr.vf.show = True
viewer

Test

Unit test

pytest

End-to-end test

The e2e test is similar to ipywidgets.

For the first time, one needs to install the dependence.

cd tests/notebooks/
yarn install

Then run in a terminal:

yarn start

In another terminal:

yarn test

If the snapshots need to be updated:

yarn test:update

Contact

License

MIT

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

weas_widget-0.1.0a0.tar.gz (193.8 kB view details)

Uploaded Source

Built Distribution

weas_widget-0.1.0a0-py3-none-any.whl (197.6 kB view details)

Uploaded Python 3

File details

Details for the file weas_widget-0.1.0a0.tar.gz.

File metadata

  • Download URL: weas_widget-0.1.0a0.tar.gz
  • Upload date:
  • Size: 193.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.0

File hashes

Hashes for weas_widget-0.1.0a0.tar.gz
Algorithm Hash digest
SHA256 d26ccbe4b3b5baa41cc2a789db065cb205bff8511e84b5f91f68b015dff2b2cc
MD5 49fd98893ed70a72a4949a77110cb207
BLAKE2b-256 2b0d3600153d00d4753712db77b1d190711f7ae872bcbefdec7b95b5cee217f7

See more details on using hashes here.

File details

Details for the file weas_widget-0.1.0a0-py3-none-any.whl.

File metadata

File hashes

Hashes for weas_widget-0.1.0a0-py3-none-any.whl
Algorithm Hash digest
SHA256 0914eafb82d2e5fd2042289683724a1272e57e9b1954ba6ff8634392e2a85f66
MD5 3cd82ecd7928e2b02b00f70571038b36
BLAKE2b-256 ea466dbf212cbfff64f950d3a6babc6b0fa20a16afa6fd3c84ae8c3f0627357d

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