Official Resources
- Source Repository: https://github.com/Nijatt/plot4dft
- Documentation: Included in repository
- License: Open source
Overview
plot4dft is a Python plotting tool for band structure and density of states generated by VASP or Quantum ESPRESSO. It provides a simple command-line interface for creating publication-quality band structure and DOS plots from DFT output files.
Scientific domain: Band structure and DOS plotting for VASP and QE
Target user community: Researchers needing quick publication-quality plots from VASP or QE calculations
Theoretical Methods
- Band structure plotting from DFT output
- DOS plotting
- Phonon band structure plotting
- VASP and QE output parsing
- matplotlib-based visualization
Capabilities (CRITICAL)
- Band structure plotting (VASP, QE)
- DOS plotting (VASP, QE)
- Phonon band structure plotting
- Publication-quality figures
- Command-line interface
Sources: GitHub repository
Key Strengths
Dual Code Support:
- VASP output parsing
- Quantum ESPRESSO output
- Same interface for both
- Consistent plotting style
Easy to Use:
- Command-line interface
- Minimal configuration
- Quick results
- Publication-quality output
Phonon Support:
- Phonon band structure
- Phonon DOS
- Combined with electronic
Inputs & Outputs
-
Input formats:
- VASP vasprun.xml
- QE output files
- Phonopy output
-
Output data types:
- Band structure plots
- DOS plots
- Phonon band plots
Interfaces & Ecosystem
- VASP: Primary support
- Quantum ESPRESSO: Supported
- Phonopy: Phonon output
- Matplotlib: Visualization
Performance Characteristics
- Speed: Fast (post-processing)
- Accuracy: DFT-level
- System size: Any
- Memory: Low
Computational Cost
- Plotting: Seconds
- DFT pre-requisite: Hours (separate)
- Typical: Very efficient
Limitations & Known Constraints
- Plotting only: No analysis features
- Limited customization: Standard plots
- No PyPI: Manual installation
- Research code: Limited support
Comparison with Other Codes
- vs sumo: plot4dft is simpler, sumo has more features
- vs VASPKIT: plot4dft is Python-only, VASPKIT is compiled
- vs dftscr: plot4dft is plotting-focused, dftscr is broader
- Unique strength: Simple dual-code (VASP/QE) band+DOS+phonon plotting tool
Application Areas
Publication Figures:
- Band structure plots
- DOS plots
- Phonon dispersion plots
- Combined band+DOS figures
Quick Analysis:
- Rapid result checking
- Standard plots
- Consistent formatting
- Multiple code support
Best Practices
Usage:
- Prepare DFT output in standard format
- Use command-line options for customization
- Validate against known systems
- Adjust matplotlib settings for publication
Community and Support
- Open source on GitHub
- Research code
- Limited documentation
- Example usage provided
Verification & Sources
Primary sources:
- GitHub: https://github.com/Nijatt/plot4dft
Confidence: VERIFIED
Verification status: ✅ VERIFIED
- Source code: ACCESSIBLE (GitHub)
- Documentation: Included in repository
- Specialized strength: Simple dual-code (VASP/QE) band+DOS+phonon plotting tool