Skip to main content

A processing tool for VASP DFT input/output processing in Jupyter Notebook.

Project description

ipyvasp

An VASP-based DFT pre and post processing tool.

Install

Currently the package is being built and not stable. If you want to use development version, install this way:(recommended to install in a virtual environment)

git clone https://github.com/massgh/ipyvasp.git
cd ipyvasp
pip install -e .

Showcase Examples

Plot 2D BZ layer on top of 3D!

import ipyvasp as ipv
pos =  ipv.POSCAR('FCC POSACR FILE').set_zdir([1,1,1])
ax = pos.splot_bz(vectors = None,color='skyblue',lw=0.2,alpha=0.2,fill=True)

kpts = [[0,-1/2,0],[0,0,0]]
pos.splot_kpath(kpts,labels=[str(k) for k in kpts],zorder=-1) # At 3D BZ

pos2 = pos.transform(lambda a,b,c: (a-c, b-c, a+b+c)) # 111 plane
pos2.splot_bz('xy',ax=ax,zoffset=0.15,vectors=None,color='navy')

kp2 = pos.bz.map_kpoints(pos2.bz, kpts)
pos2.splot_kpath(kp2,labels=[str(k) for k in kp2.round(1).tolist()],color='navy',fmt_label=lambda lab: (lab+'\n', dict(va='center',color='navy')),zorder=3) 

ax.set_axis_off()

BZ

Interactively select bandstructure path by clicking on high symmetry points on plot!

KP

Apply operations on POSCAR and simultaneously view using plotly's FigureWidget or WeasWidget in Jupyterlab side by side.

snip

More coming soon!

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

ipyvasp-0.8.7.tar.gz (122.2 kB view details)

Uploaded Source

Built Distribution

ipyvasp-0.8.7-py2.py3-none-any.whl (134.8 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file ipyvasp-0.8.7.tar.gz.

File metadata

  • Download URL: ipyvasp-0.8.7.tar.gz
  • Upload date:
  • Size: 122.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.8.10

File hashes

Hashes for ipyvasp-0.8.7.tar.gz
Algorithm Hash digest
SHA256 0de1cf4f576844d922e0f94dba8f595778703672b7975a80d386573ad4085bee
MD5 efc5a6e75951330f044497b508576e01
BLAKE2b-256 bc72301bb0fb5cb68bc290555c2919c8f07a3650f5174861cea879d4515cef85

See more details on using hashes here.

File details

Details for the file ipyvasp-0.8.7-py2.py3-none-any.whl.

File metadata

  • Download URL: ipyvasp-0.8.7-py2.py3-none-any.whl
  • Upload date:
  • Size: 134.8 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.8.10

File hashes

Hashes for ipyvasp-0.8.7-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 d5fe0dd1b1a2ec8136037d10896976d42afaf414a763b15cd49b264ce85c2478
MD5 64046d11cc7166ff4a7cd0aedd872a6c
BLAKE2b-256 992fca90d428bed5517321213d88606117e3a98c54c7934129eb563ace6ac66f

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