Metadata-Version: 2.4
Name: numpy-dtype-utils
Version: 0.1.0
Summary: Advanced data type handling and dataset utilities for NumPy.
Home-page: https://github.com/yourusername/numpy-dtype-utils
Author: Your Name
Author-email: your.email@example.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: scipy
Requires-Dist: matplotlib
Requires-Dist: seaborn
Requires-Dist: scikit-learn
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
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# 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

```bash
pip install numpy-dtype-utils
```

## Usage

```python
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
