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scipy.stats.trimboth(a, proportiontocut, axis=0)[source]

Slices off a proportion of items from both ends of an array.

Slices off the passed proportion of items from both ends of the passed array (i.e., with proportiontocut = 0.1, slices leftmost 10% and rightmost 10% of scores). The trimmed values are the lowest and highest ones. Slices off less if proportion results in a non-integer slice index (i.e., conservatively slices off`proportiontocut`).


a : array_like

Data to trim.

proportiontocut : float

Proportion (in range 0-1) of total data set to trim of each end.

axis : int or None, optional

Axis along which to trim data. Default is 0. If None, compute over the whole array a.


out : ndarray

Trimmed version of array a. The order of the trimmed content is undefined.

See also



>>> from scipy import stats
>>> a = np.arange(20)
>>> b = stats.trimboth(a, 0.1)
>>> b.shape