QEview
This tool is designed to streamline the analysis and visualization of results obtained from Quantum Espresso simulations, including:
- Band Structure
- Density of States (DOS, pDOS)
- Wannier projection using Wannier90
By simplifying the interpretation of complex data, this package provides an efficient and user-friendly approach while remaining flexible for customization.
Supported Systems
The package supports:
- 2D and 3D materials
- Ferromagnetic (FM) and Paramagnetic (PM) configurations
Key Features
- Visualization: Generate clear and insightful visual representations of your simulation results.
- Predefined Visualization Methods: A simple and intuitive interface for efficient workflow.
- Wannier90 Hamiltonian Loading: Enables band structure interpolation and plotting for enhanced analysis.
Explore the user guide to quickly get up to speed with the tool.
Install
pip install qeview
Usage
Define you data document using:
from qeview.qe_analyse_FM import qe_analyse_FM
import qeview.wannier_loader as wnldr
calc = qe_analyse_FM('./', 'FeCl2')
Now you can access basic plots and properties
calc.get_qe_kpathBS()
calc.plot_FullDOS(efrom=-10, eto=10)
calc.plot_pDOS('1', efrom=-10, eto=10, yfrom=-10)
calc.plot_BS(efrom=-5, eto=5)
Metadata
Release files for qeview 1.0.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| qeview-1.0.6.tar.gz | 18.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| qeview-1.0.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 41.8 kB
Release files / qeview-1.0.6.tar.gz
| Download URL | qeview-1.0.6.tar.gz |
|---|---|
| Size | 18.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Transparency logRelease files / qeview-1.0.6-py3-none-any.whl
| Download URL | qeview-1.0.6-py3-none-any.whl |
|---|---|
| Size | 23.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
399cb81520b1f70ed49b6e13cfb7a3c0b454547506f27d01cd8922cfb2bbcb5a
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
Provenance
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PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
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