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Read PLINK files into Pandas data frames.

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# 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

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details

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