Module « scipy.stats.mstats »

Fonction trimmed_stde - module scipy.stats.mstats

Signature de la fonction trimmed_stde

def trimmed_stde(a, limits=(0.1, 0.1), inclusive=(1, 1), axis=None) 

Description

trimmed_stde.__doc__

    Returns the standard error of the trimmed mean along the given axis.

    Parameters
    ----------
    a : sequence
        Input array
    limits : {(0.1,0.1), tuple of float}, optional
        tuple (lower percentage, upper percentage) to cut  on each side of the
        array, with respect to the number of unmasked data.

        If n is the number of unmasked data before trimming, the values
        smaller than ``n * limits[0]`` and the values larger than
        ``n * `limits[1]`` are masked, and the total number of unmasked
        data after trimming is ``n * (1.-sum(limits))``.  In each case,
        the value of one limit can be set to None to indicate an open interval.
        If `limits` is None, no trimming is performed.
    inclusive : {(bool, bool) tuple} optional
        Tuple indicating whether the number of data being masked on each side
        should be rounded (True) or truncated (False).
    axis : int, optional
        Axis along which to trim.

    Returns
    -------
    trimmed_stde : scalar or ndarray