Official Resources
- Homepage: https://github.com/warda-rahim/phononplotter
- Source Repository: https://github.com/warda-rahim/phononplotter
- License: Open Source
Overview
phononplotter is a Python tool for plotting phonon band structures and density of states from Phonopy calculations. It provides publication-quality plots with customization options for phonon dispersion visualization.
Scientific domain: Phonon visualization, band structure plotting
Target user community: Researchers creating publication-quality phonon plots
Theoretical Methods
- Phonon dispersion plotting
- Density of states visualization
- Band structure comparison
- Multi-system plotting
Capabilities (CRITICAL)
- Plot phonon band structures
- Plot phonon DOS
- Multiple dispersion comparison
- Customizable plot styles
- Phonopy band.yaml support
- Publication-quality output
Key Strengths
Plotting Quality:
- Publication-ready figures
- Customizable styles
- Clean output
- Professional appearance
Phonopy Integration:
- Direct band.yaml support
- Standard workflow
- Easy to use
- Minimal setup
Comparison Features:
- Multiple dispersions
- Overlay plots
- Difference visualization
Inputs & Outputs
-
Input formats:
- Phonopy band.yaml
- DOS data files
-
Output data types:
- PNG/PDF plots
- Band structure figures
- DOS plots
Interfaces & Ecosystem
- Phonopy: Primary data source
- Matplotlib: Plotting backend
- Python: Implementation
Advanced Features
Plotting Customization:
- Line styles and colors
- Font sizes and families
- Axis labels and limits
- Legend positioning
- Figure size control
Multi-System Comparison:
- Overlay multiple dispersions
- Side-by-side plots
- Difference plots
- Color-coded systems
Output Formats:
- PNG for presentations
- PDF for publications
- SVG for editing
- High-resolution options
Band Structure Features:
- High-symmetry path labels
- Frequency range selection
- Grid customization
- Annotation support
Performance Characteristics
- Speed: Fast plotting (seconds)
- Memory: Minimal (<100 MB)
- File handling: Efficient band.yaml parsing
- Output quality: Publication-ready
Computational Cost
- Parsing: Negligible
- Plotting: Fast (seconds)
- Export: Near-instantaneous
- Overall: Very lightweight
Best Practices
Plot Quality:
- Use vector formats (PDF/SVG) for publications
- Choose appropriate DPI for raster images
- Ensure readable font sizes
- Use color-blind friendly palettes
Comparison Plots:
- Align frequency ranges
- Use consistent styling
- Label systems clearly
- Include legends
Limitations & Known Constraints
- Phonopy-specific
- Plotting only
- Limited analysis features
- Basic customization
Comparison with Other Codes
- vs sumo: phononplotter is simpler; sumo has more features
- vs Phonopy built-in: More customization options
- Unique strength: Simple, focused phonon plotting tool
Application Areas
- Publication figures
- Phonon dispersion visualization
- DOS plotting
- Multi-system comparison
- Presentation slides
- Thesis figures
Community and Support
- License: Open source
- Development: GitHub repository
- Documentation: README with examples
- Support: GitHub issues
- User base: Phonopy users
- Focus: Simple, focused plotting tool
Verification & Sources
Primary sources:
- GitHub: https://github.com/warda-rahim/phononplotter
Confidence: VERIFIED
Verification status: ✅ VERIFIED
- Source code: OPEN (GitHub)