Advanced data type handling and dataset utilities for NumPy.
Project description
numpy-dtype-utils
Advanced data type handling and dataset utilities for NumPy.
Features
- Efficient Data Loading: Optimized loading for structured datasets.
- Data Cleaning Pipelines: Streamlined handling of missing values, outliers, and duplicates.
- Visualization Tools: Integrated plotting for correlation matrices and distributions.
- Clustering Support: K-means clustering for spatial data analysis.
Installation
pip install numpy-dtype-utils
Usage
from numpy_dtype_utils import Dataset
# Initialize dataset loader
dataset = Dataset("/path/to/data")
# Load and clean data
dataset.load(max_days=5).clean(remove_outliers=True)
# Visualize distributions
dataset.plot_distributions()
License
MIT
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