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, ...

Demo

Please try the widget in the following links: Colab

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

Lattice plane

Draw a plane that is defined by the miller indices and distance from the origin or by selecting the atoms.

viewer.avr.lp.add_plane_from_indices(name = "111",
                                     indices = [1, 1, 1],
                                     distance = 4,
                                     scale = 1.0,
                                     color = [0, 1, 1, 0.5])
viewer.avr.lp.build_plane()

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-0.1.10.tar.gz (210.5 kB view details)

Uploaded Source

Built Distribution

weas_widget-0.1.10-py3-none-any.whl (217.2 kB view details)

Uploaded Python 3

File details

Details for the file weas_widget-0.1.10.tar.gz.

File metadata

  • Download URL: weas_widget-0.1.10.tar.gz
  • Upload date:
  • Size: 210.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.20

File hashes

Hashes for weas_widget-0.1.10.tar.gz
Algorithm Hash digest
SHA256 63c3e1cea8ef80fc914921926badf42ebeec0c8d76fc8446de96602958c5c70c
MD5 5154beac022e8e709a39619ff404bb07
BLAKE2b-256 bc94cc505a4b91e5ccc060048d4a462b6465fd29cfa240b415d29c753186233e

See more details on using hashes here.

File details

Details for the file weas_widget-0.1.10-py3-none-any.whl.

File metadata

  • Download URL: weas_widget-0.1.10-py3-none-any.whl
  • Upload date:
  • Size: 217.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.20

File hashes

Hashes for weas_widget-0.1.10-py3-none-any.whl
Algorithm Hash digest
SHA256 1df1e9458abb60c3ff84d51241dbffdf08dcccacd59f5c329ce44279f6d840e0
MD5 778759d7eb095f23cc0f3ee094443e67
BLAKE2b-256 26f564c0db4a5a9b5e6dbff44c3dbd99bf688d25de25f58461a5ee44e4fbd05c

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