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# scipy.stats.trimboth

`scipy.stats.``trimboth`(a, proportiontocut, axis=0)

  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). You must pre-sort the array if you want ‘proper’ trimming. Slices off less if proportion results in a non-integer slice index (i.e., conservatively slices off proportiontocut).

  Parameters: | 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.
  Returns: | out : ndarray Trimmed version of array a.

  See also

  `trim_mean`

  Examples

      >>> from scipy import stats
      >>> a = np.arange(20)
      >>> b = stats.trimboth(a, 0.1)
      >>> b.shape
      (16,)