Lightweight Bland–Altman plot implementation for method comparison
Project description
Bland-Altman Plot
A lightweight Python library for generating Bland-Altman Plots to evaluate agreement between two measurements methods. This implementation provides a simple interface for quickly visualizing bias and limits of agreements.
Installation
Install from PyPI
pip install bland-altman
Usage
import numpy as np
from bland_altman import bland_altman_plot
# Generate example data
np.random.seed(42)
x = np.random.normal(100,10,500)
y = x + np.random.normal(0,5,500)
# Generate Bland-Altman plot
bland_altman_plot(x, y, ylim=(-20, 20), figsize=(10,6), label_offset=0.025, color='blue', alpha=0.5, display_grid=True, display_legend=True)
Example Plot
Below is an example Bland-Altman plot generated using this library.
Features
- Simple and easy-to-use API
- Automate calculation of mean difference and limits of agreement
- Customizable plot appearance
- Buit using Numpy and Matplotlib
Requirements
- Python 3.8+
- NumPy
- Matplotlib
These dependencies will be installed automatically with the package.
License
This project is licensed under MIT License.
Author
Developed for statistical method comparisonand visualization.
Project details
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