# scipy.stats.mstats.trimtail

scipy.stats.mstats.trimtail(data, proportiontocut=0.2, tail='left', inclusive=(True, True), axis=None)

  Trims the data by masking values from one tail.

  Parameters:
    data array_like

      Data to trim.

    proportiontocut float, optional

      Percentage of trimming. If n is the number of unmasked values before trimming, the number of values after trimming is `(1 - proportiontocut) * n`. Default is 0.2.

    tail{‘left’,’right’}, optional

      If ‘left’ the proportiontocut lowest values will be masked. If ‘right’ the proportiontocut highest values will be masked. Default is ‘left’.

    inclusive{(bool, bool) tuple}, optional

      Tuple indicating whether the number of data being masked on each side should be rounded (True) or truncated (False). Default is (True, True).

    axis int, optional

      Axis along which to perform the trimming. If None, the input array is first flattened. Default is None.

  Returns:
    trimtail ndarray

      Returned array of same shape as data with masked tail values.