Module « scipy.stats.mstats »

Fonction describe - module scipy.stats.mstats

Signature de la fonction describe

def describe(a, axis=0, ddof=0, bias=True) 

Description

describe.__doc__

    Computes several descriptive statistics of the passed array.

    Parameters
    ----------
    a : array_like
        Data array
    axis : int or None, optional
        Axis along which to calculate statistics. Default 0. If None,
        compute over the whole array `a`.
    ddof : int, optional
        degree of freedom (default 0); note that default ddof is different
        from the same routine in stats.describe
    bias : bool, optional
        If False, then the skewness and kurtosis calculations are corrected for
        statistical bias.

    Returns
    -------
    nobs : int
        (size of the data (discarding missing values)

    minmax : (int, int)
        min, max

    mean : float
        arithmetic mean

    variance : float
        unbiased variance

    skewness : float
        biased skewness

    kurtosis : float
        biased kurtosis

    Examples
    --------
    >>> from scipy.stats.mstats import describe
    >>> ma = np.ma.array(range(6), mask=[0, 0, 0, 1, 1, 1])
    >>> describe(ma)
    DescribeResult(nobs=3, minmax=(masked_array(data=0,
                 mask=False,
           fill_value=999999), masked_array(data=2,
                 mask=False,
           fill_value=999999)), mean=1.0, variance=0.6666666666666666,
           skewness=masked_array(data=0., mask=False, fill_value=1e+20),
            kurtosis=-1.5)