MagicA Documentation
MagicA (Magic Adjustment) is a Python package for statistical data adjustment, with special focus on wind data, including advanced fitting techniques, goodness-of-fit tests, and visualization.
Overview
MagicA provides tools for:
Statistical distribution fitting (Weibull, Normal, Lognormal, etc.)
Goodness-of-fit tests (Kolmogorov-Smirnov, Anderson-Darling, etc.)
Automatic best distribution selection
Integrated visualization functions
Specialized wind data analysis
Advanced statistical fitting techniques
Installation
For development installation:
git clone https://github.com/daniloceano/MagicA.git
cd MagicA
pip install -e .
Quick Start
import magica as ma
# Load data
processor = ma.DataProcessor()
processor.load_data('wind_data.csv')
# Get basic statistics
stats = processor.get_basic_stats()
print(stats)
# Get data as numpy array
data_array = processor.get_data_array()
Contents
User Guide
API Reference
Development