Module « scipy.stats.mstats »

Fonction hdquantiles - module scipy.stats.mstats

Signature de la fonction hdquantiles

def hdquantiles(data, prob=[0.25, 0.5, 0.75], axis=None, var=False) 

Description

hdquantiles.__doc__

    Computes quantile estimates with the Harrell-Davis method.

    The quantile estimates are calculated as a weighted linear combination
    of order statistics.

    Parameters
    ----------
    data : array_like
        Data array.
    prob : sequence, optional
        Sequence of quantiles to compute.
    axis : int or None, optional
        Axis along which to compute the quantiles. If None, use a flattened
        array.
    var : bool, optional
        Whether to return the variance of the estimate.

    Returns
    -------
    hdquantiles : MaskedArray
        A (p,) array of quantiles (if `var` is False), or a (2,p) array of
        quantiles and variances (if `var` is True), where ``p`` is the
        number of quantiles.

    See Also
    --------
    hdquantiles_sd