candle.data_preprocessing_utils.quantile_normalization

candle.data_preprocessing_utils.quantile_normalization(data)

This function does quantile normalization to input data. After normalization, the samples (rows) in output data follow the same distribution, which is the average distribution calculated based on all samples. This function allows missing values, and assume missing values occur at random.

Parameters:

data – numpy array or pandas data frame of numeric values, with a shape of [n_samples, n_features].

Returns:

numpy array or pandas data frame containing the data after quantile normalization.