# pandas-plink
[![PyPI-License](https://img.shields.io/pypi/l/pandas-plink.svg?style=flat-square)](https://pypi.python.org/pypi/pandas-plink/)
[![PyPI-Version](https://img.shields.io/pypi/v/pandas-plink.svg?style=flat-square)](https://pypi.python.org/pypi/pandas-plink/) [![Anaconda-Version](https://anaconda.org/conda-forge/pandas-plink/badges/version.svg)](https://anaconda.org/conda-forge/pandas-plink) [![Anaconda-Downloads](https://anaconda.org/conda-forge/pandas-plink/badges/downloads.svg)](https://anaconda.org/conda-forge/pandas-plink) [![Documentation Status](https://readthedocs.org/projects/pandas-plink/badge/?style=flat-square&version=latest)](https://pandas-plink.readthedocs.io/en/latest/)
PLINK reader for Python.
It reads binary PLINK files into [Pandas](http://pandas.pydata.org) data frame
and [Dask](http://dask.pydata.org/en/latest/index.html) array.
This package handles larger-than-memory data sets by reading the SNP matrix
on-demand.
## Install
The recommended way of installing it is via
[conda](http://conda.pydata.org/docs/index.html)
```bash
conda install -c conda-forge pandas-plink
```
An alternative way would be via pip
```
pip install pandas-plink
```
## Running the tests
After installation, you can test it
```
python -c "import pandas_plink; pandas_plink.test()"
```
as long as you have [pytest](http://docs.pytest.org/en/latest/).
## Usage
It is as simple as
```python
from pandas_plink import read_plink
(bim, fam, G) = read_plink('/path/to/data')
```
Refer to [documentation](http://pandas-plink.readthedocs.io/en/latest/)
for more information.
## Authors
* **Danilo Horta** - [https://github.com/Horta](https://github.com/Horta)
## License
This project is licensed under the MIT License - see the
[LICENSE](LICENSE) file for details
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