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# scipy.stats.mstats.trimtail

`scipy.stats.mstats.``trimtail`(data, proportiontocut=0.20000000000000001, tail='left', inclusive=(True, True), axis=None)
  Trims the data by masking int(trim*n) values from ONE tail of the
    data along the given axis, where n is the number of unmasked values.

  Parameters: | data : {ndarray} Data to trim. proportiontocut : {0.2, 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. tail : {‘left’,’right’} optional If left (right), the `proportiontocut` lowest (greatest) values will be masked. inclusive : {(True, True) tuple} optional Tuple indicating whether the number of data being masked on each side should be rounded (True) or truncated (False). axis : {None, integer}, optional Axis along which to perform the trimming. If None, the input array is first flattened.

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