suneku/classifier.py
def qrange(data,qbig=0.84,qsmall=0.16):
    """
    Series: Inter-quantile range for each column of a DataFrame.
    Close to standard deviation for normal input with default parameters.
    """
    return (data.quantile(qbig) - data.quantile(qsmall)) / 2

    Series: Inter-quantile range for each column of a DataFrame.
    Close to standard deviation for normal input with default parameters.
    
Inter-quantile range for each column of a DataFrame.
Close to standard deviation for normal input with default parameters.
Inter - quantile range for each column of a DataFrame . Close to standard deviation for normal input with default parameters .
def qrange(data,qbig=0.84,qsmall=0.16):
    return (data.quantile(qbig) - data.quantile(qsmall)) / 2
def qrange ( data , qbig = 0.84 , qsmall = 0.16 ) : return ( data . quantile ( qbig ) - data . quantile ( qsmall ) ) / 2
Series: Inter-quantile range for each column of a DataFrame.
Series : Inter - quantile range for each column of a DataFrame .
"""
    Series: Inter-quantile range for each column of a DataFrame.
    Close to standard deviation for normal input with default parameters.
    """
data
qbig
qsmall