qnorm 0.1.1

Quantile normalization

qnorm

quantile normalization made easy.

Quick example

We recreate the example of Wikipedia:

import pandas as pd
import qnorm

df = pd.DataFrame({'C1': {'A': 5, 'B': 2, 'C': 3, 'D': 4},
                   'C2': {'A': 4, 'B': 1, 'C': 4, 'D': 2},
                   'C3': {'A': 3, 'B': 4, 'C': 6, 'D': 8}})

print(qnorm.quantile_normalize(df))

which is what we expect:

         C1        C2        C3
A  5.666667  5.166667  2.000000
B  2.000000  2.000000  3.000000
C  3.000000  5.166667  4.666667
D  4.666667  3.000000  5.666667

The function quantile_normalize also accepts numpy arrays.

Installation

pip

pip install qnorm

conda

Installing qnorm from the conda-forge channel can be achieved by adding conda-forge to your channels with:

conda config --add channels conda-forge

Once the conda-forge channel has been enabled, qnorm can be installed with:

conda install qnorm

local

clone the repository

git clone https://github.com/Maarten-vd-Sande/qnorm

And install it

cd qnorm
pip install .