Metadata-Version: 1.1
Name: pandas-plink
Version: 1.2.4
Summary: Read PLINK files into Pandas data frames.
Home-page: https://github.com/limix/pandas-plink
Author: Danilo Horta
Author-email: horta@ebi.ac.uk
License: MIT
Description: # 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
        
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Operating System :: OS Independent
