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pandas-plink 1.2.18

Read PLINK files into Pandas data frames

Package Documentation

PLINK reader for Python. It reads binary PLINK files into Pandas data frame and Dask array. This package handles larger-than-memory data sets by reading the SNP matrix on-demand.


The recommended way of installing it is via conda

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.


It is as simple as

from pandas_plink import read_plink
(bim, fam, G) = read_plink('/path/to/data')

Refer to the documentation for more information.



This project is licensed under the MIT License - see the license file for details.

File Type Py Version Uploaded on Size
pandas-plink-1.2.18.tar.gz (md5) Source 2017-12-12 9KB
pandas_plink-1.2.18-cp27-cp27m-macosx_10_12_intel.whl (md5) Python Wheel cp27 2017-12-13 16KB
pandas_plink-1.2.18-cp27-cp27m-manylinux1_x86_64.whl (md5) Python Wheel cp27 2017-12-12 24KB
pandas_plink-1.2.18-cp27-cp27m-win32.whl (md5) Python Wheel cp27 2017-12-12 15KB
pandas_plink-1.2.18-cp27-cp27m-win_amd64.whl (md5) Python Wheel cp27 2017-12-12 15KB
pandas_plink-1.2.18-cp27-cp27mu-manylinux1_x86_64.whl (md5) Python Wheel cp27 2017-12-12 24KB
pandas_plink-1.2.18-cp36-cp36m-macosx_10_12_x86_64.whl (md5) Python Wheel cp36 2017-12-13 14KB
pandas_plink-1.2.18-cp36-cp36m-manylinux1_x86_64.whl (md5) Python Wheel cp36 2017-12-12 21KB
pandas_plink-1.2.18-cp36-cp36m-win32.whl (md5) Python Wheel cp36 2017-12-12 16KB
pandas_plink-1.2.18-cp36-cp36m-win_amd64.whl (md5) Python Wheel cp36 2017-12-12 17KB