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

Trims the data by masking values from one tail.

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.

trimtail : ndarray

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

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