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# 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.