BoPlotKit 0.1.4

An advanced and flexible scientific plotting toolkit.

BoPlotKit

BoPlotKit is a modular, extensible scientific plotting toolkit developed for researchers, scientists, and engineers. It provides clean and consistent APIs to generate high-quality, publication-ready figures such as curve plots, particle schematics, and residual analysis.

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✨ Features

• Modular Design: Well-organized modules for curves, schematics, styles, utilities, and configuration.
• Unified Aesthetics: Consistent visual themes with predefined colors, markers, and line styles.
• Flexible Curve Plotting: Support for multiple curves, residual comparison, log/scientific scale, truncation, axis customization, and multi-format legends.
• Schematic Plotting: Easily create particle distributions and domain diagrams.
• Smart File Naming: Auto-generated filenames in the format boplot_<timestamp>_<title>.png.
• Minimal Dependencies: Built on top of Matplotlib, NumPy, and Pandas.
• Easy Integration: Can be used as a standalone package or imported into larger Python-based workflows.
• Test-Driven Development: Comes with robust test cases to ensure stability and correctness.

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📦 Installation

# Clone the repository
git clone https://github.com/bo-qian/BoPlotKit.git
cd BoPlotKit

# (Optional) Create a virtual environment
python -m venv venv && source venv/bin/activate

# Install the package
pip install .

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🚀 Quick Example

from boplot import *

# Plot initial schematic of particles
plot_initial_particle_schematic(
    coordinates=[[90, 90], [150, 90]],
    radii=[30, 30],
    domain=[240, 180],
    title="Initial Particle Distribution",
    show=True,
    save=True
)

# Plot multiple curves with residual analysis
plot_curves(
    path=["example/data/test_plotkit_multifeature_data.csv"] * 2,
    label=["Sim 800K", "Sim 900K"],
    x=[0, 0],
    y=[3, 4],
    xy_label=["Time (s)", "Shrinkage Ratio"],
    title_figure="Residual Analysis",
    show_residual=True,
    save=True,
    show=True
)

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🧪 Testing

To run all tests:

python -m pytest

All core plotting functions are covered by unit tests under the tests/ directory, including:

• Curve plotting (single and multi-feature)
• Schematic particle distribution
• Residual comparison
• Style and legend configurations

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📁 Project Structure

BoPlotKit/
├── src/
│   └── boplot/
│       ├── __init__.py
│       ├── config.py            # Global parameters and color sets
│       ├── curves.py            # Core curve plotting functions
│       ├── schematic.py         # Particle schematic functions
│       ├── style.py             # Default plot styling
│       └── utils.py             # Filename generator and helpers
├── tests/                       # Pytest-based test cases
├── example/                     # Example scripts and CSV data
│   ├── data/
│   └── test_example_plot.py
├── figures/                     # Output figures (auto-generated)
├── pyproject.toml               # Build configuration
├── setup.py                     # Legacy install config
├── LICENSE
└── README.md

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📚 Dependencies

matplotlib>=3.0
numpy>=1.18
pandas>=1.0
pytest>=6.0

Install via:

pip install -r requirements.txt

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🙌 Contributing

Feel free to contribute by:

• Reporting issues and bugs
• Improving documentation and examples
• Submitting pull requests with enhancements or new plotting modules

All contributions are welcome and appreciated.

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📜 License

GNU General Public License v3 (GPLv3) License © 2025 Bo Qian

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For advanced examples and API documentation, please refer to the tests/ and example/ directories, or explore the docstrings inside the src/boplot/ module.