This function implements quantile normalization in python matrix (Pandas DataFrame)

1. Numpy
2. Pandas

Input data is a Pandas dataframe (df). Each row stands for an observations and each column stands for an attribute

from Quantile_Normalize.quantile_norm import quantileNormalize
result = quantileNormalize(df)

Pretty simple logic but relatively high efficiency

Thanks for the following:

Ranking of numpy array with possible duplicates

This solves the problem of quantile normalization on pandas dataframe

Thanks for the help of Mr. Tan