Quantile normalization
Project description
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 .
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