scipy.stats.mstats.trimtail#
- 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.
- Parameters
- dataarray_like
Data to trim.
- proportiontocutfloat, 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).
- axisint, optional
Axis along which to perform the trimming. If None, the input array is first flattened. Default is None.
- Returns
- trimtailndarray
Returned array of same shape as data with masked tail values.