FracDimPy 0.1.3

A comprehensive Python package for fractal dimension calculation and multifractal analysis

FracDimPy

A Comprehensive Python Package for Fractal Dimension Calculation and Multifractal Analysis

English | 简体中文

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📖 Introduction

FracDimPy is a powerful and easy-to-use Python package designed for fractal dimension calculation and multifractal analysis. Whether you are a researcher studying fractal geometry or an engineer analyzing complex data, FracDimPy provides professional and accurate analysis tools.

✨ Key Features

• 🔢 Multiple Monofractal Methods

  • Hurst Exponent Method (R/S Analysis)
  • Box-counting Method
  • Information Dimension Method
  • Correlation Dimension Method
  • Structure Function Method
  • Variogram Method
  • Sandbox Method
  • Detrended Fluctuation Analysis (DFA)

• 📊 Multifractal Analysis

  • One-dimensional curve multifractal analysis
  • Two-dimensional image multifractal analysis
  • Multifractal Detrended Fluctuation Analysis (MF-DFA)
  • Custom scale sequences

• 🎨 Fractal Generator

  • Classical fractals: Cantor set, Sierpinski triangle/carpet, Koch curve, Menger sponge, etc.
  • Random fractals: Brownian motion, Lévy flight, self-avoiding walk, Diffusion-Limited Aggregation (DLA)
  • Fractal curves: FBM curve, Weierstrass-Mandelbrot function, Takagi curve
  • Fractal surfaces: FBM surface, Weierstrass-Mandelbrot surface, Takagi surface

• 📈 Rich Visualization

  • Automatic generation of professional charts
  • Log-log plot fitting
  • Multifractal spectrum display
  • Customizable plotting options

• 💾 Flexible Data Processing

  • Support for multiple data formats (CSV, Excel, TXT, NPY, images, etc.)
  • Automatic data preprocessing
  • Result export functionality

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🚀 Quick Start

Installation

Install from PyPI (Recommended)

# Install complete package (with all dependencies)
pip install FracDimPy

🇨🇳 Mirror Installation for Chinese Users (Faster Speed)

For users in mainland China, we recommend using mirror sources for faster installation speed:

# Install using Tsinghua University mirror
pip install -i https://pypi.tuna.tsinghua.edu.cn/simple FracDimPy

# Or permanently configure mirror source
pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple
pip install FracDimPy

Common Mirror Sources:

• Tsinghua University: https://pypi.tuna.tsinghua.edu.cn/simple
• Alibaba Cloud: https://mirrors.aliyun.com/pypi/simple
• USTC: https://pypi.mirrors.ustc.edu.cn/simple
• Douban: https://pypi.douban.com/simple

Correct Package Import

# Note: Package name starts with lowercase letter
import fracDimPy

# Import specific functions from submodules
from fracDimPy.monofractal import *
from fracDimPy.multifractal import *
from fracDimPy.generator import *

Important Note: Although the PyPI package name is FracDimPy (uppercase F), you need to use import fracDimPy (lowercase f) in your Python code.

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📦 Module Description

1. Monofractal Module (monofractal)

Provides various monofractal dimension calculation methods:

Method	Function Name	Data Type	Description
Hurst Exponent	hurst_dimension()	1D time series	R/S analysis, modified R/S, DFA
Box-counting	box_counting()	1D/2D/3D	Most commonly used fractal dimension calculation method
Information Dimension	information_dimension()	Point set data	Dimension based on information entropy
Correlation Dimension	correlation_dimension()	Point set data	Based on correlation integral
Structure Function	structural_function()	1D curve	Suitable for self-affine curves
Variogram	variogram_method()	1D/2D	Geostatistical method
Sandbox	sandbox_method()	Point set/image	Local scale analysis
DFA	dfa()	1D time series	Detrended Fluctuation Analysis

2. Multifractal Module (multifractal)

Provides multifractal analysis tools:

Function	Description	Output
multifractal_curve()	One-dimensional curve multifractal analysis	Partition function, generalized dimension, multifractal spectrum
multifractal_image()	Two-dimensional image multifractal analysis	Singularity index, multifractal characteristics
mf_dfa()	Multifractal DFA	Fluctuation function, Hurst exponent spectrum

3. Fractal Generator (generator)

Generates various theoretical and random fractals:

Curve Class (1D):

• generate_fbm_curve() - Fractional Brownian Motion curve
• generate_wm_curve() - Weierstrass-Mandelbrot function
• generate_takagi_curve() - Takagi curve
• generate_koch_curve() - Koch curve
• generate_brownian_motion() - Brownian motion
• generate_levy_flight() - Lévy flight

Surface Class (2D):

• generate_fbm_surface() - Fractional Brownian Motion surface
• generate_wm_surface() - WM surface
• generate_takagi_surface() - Takagi surface

Pattern Class (Geometric fractals):

• generate_cantor_set() - Cantor set
• generate_sierpinski() - Sierpinski triangle
• generate_sierpinski_carpet() - Sierpinski carpet
• generate_vicsek_fractal() - Vicsek fractal
• generate_koch_snowflake() - Koch snowflake
• generate_dla() - Diffusion-Limited Aggregation
• generate_menger_sponge() - Menger sponge (3D)

4. Utility Module (utils)

• Data I/O (data_io)
• Visualization tools (plotting)

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🔬 Application Areas

FracDimPy can be applied to multiple scientific and engineering fields:

• Earth Sciences: Terrain analysis, seismic data, fracture networks
• Materials Science: Porous media, surface roughness, nanostructures
• Biomedical: DNA sequences, protein folding, medical imaging
• Financial Analysis: Stock prices, market volatility, risk assessment
• Image Processing: Texture analysis, pattern recognition, image segmentation
• Environmental Science: River networks, cloud pattern analysis, pollution diffusion
• Physics: Turbulence, phase transitions, chaotic systems

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📊 Examples and Data

The examples directory contains rich example code and test data:

examples/
├── monofractal/          # Monofractal method examples
│   ├── test_hurst.py
│   ├── test_box_counting_*.py
│   └── ...
├── multifractal/         # Multifractal examples
│   ├── test_mf_curve_*.py
│   ├── test_mf_image.py
│   └── ...
└── generator/            # Fractal generation examples
    ├── test_koch.py
    ├── test_dla.py
    └── ...

Run examples:

cd examples/monofractal
python test_hurst.py

For more details, see examples/README.md

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🛠️ Dependencies

Core Dependencies

• Python >= 3.8
• NumPy >= 1.20.0
• SciPy >= 1.7.0
• Matplotlib >= 3.3.0
• Pandas >= 1.3.0

All Dependencies Included

• NumPy >= 1.20.0 - Numerical computing foundation
• SciPy >= 1.7.0 - Scientific computing tools
• Matplotlib >= 3.3.0 - Data visualization
• Pandas >= 1.3.0 - Data processing
• OpenCV >= 4.5.0 - Image processing (imported as cv2)
• Pillow >= 9.0.0 - Image I/O

All dependencies are automatically installed. No manual installation needed for full functionality.

For the complete dependency list, please refer to pyproject.toml

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🤝 Contributing

Contributions of all kinds are welcome! Whether it's reporting bugs, suggesting new features, or submitting code improvements.

Please refer to CONTRIBUTING.md for detailed contribution guidelines.

Contributors

• Zhile Han - Main Developer - Zhihu Profile

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📄 License

This project is licensed under the GNU General Public License v3.0 - see the LICENSE file for details

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📮 Contact

• Author: Zhile Han
• Email: [e-mail]
• Address: State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu 610500, China
• Zhihu: 小学生也想写书
• GitHub: https://github.com/Kecoya/FracDimPy

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📝 Citation

If you use FracDimPy in your research, please cite:

@software{fracdimpy2024,
  author = {Zhile Han},
  title = {FracDimPy: A Comprehensive Python Package for Fractal Dimension Calculation and Multifractal Analysis},
  year = {2024},
  url = {https://github.com/Kecoya/FracDimPy},
  version = {0.1.3}
}

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🙏 Acknowledgments

Thanks to all researchers and open-source community members who have contributed to fractal theory and algorithm implementation.

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⭐ Star History

If this project is helpful to you, please give it a ⭐️!

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🔗 Related Projects

• NumPy - Numerical computing foundation
• SciPy - Scientific computing tools
• Matplotlib - Data visualization

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Made with ❤️ by Zhile Han