Metadata-Version: 2.2
Name: sbmutils
Version: 0.2.0
Summary: A collection of utility functions for data analysis
Home-page: https://github.com/dalee/sbmutils
Author: dalee
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: scipy
Dynamic: author
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: requires-dist
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Dynamic: summary

# sbmutils

A collection of utility functions for data analysis.

## Installation

```bash
pip install sbmutils
```

## Usage

### Quantile Normalization

```python
import numpy as np
from sbmutils.norm import quantilenorm

# Create sample data
data = np.random.rand(10, 3)  # 10 rows, 3 columns

# Perform quantile normalization
normalized_data = quantilenorm(data, average="mean")
```

## Features

- `quantilenorm`: Performs 2D quantile normalization over columns
  - Supports both mean and median averaging methods
  - Handles missing values (NaN)
  - Input validation and error handling

## Requirements

- Python >= 3.6
- NumPy
- SciPy

## License

This project is licensed under the MIT License. 
