`scipy.stats._mstats_basic:trimboth`

source: /scipy/stats/_mstats_basic.py :2051

Signature

   def     trimboth (    data    ,    proportiontocut    =  0.2   ,    inclusive    =  (True, True)   ,    axis    =  None     )

Summary

Trims the smallest and largest data values.

Extended Summary

Trims the data by masking the int(proportiontocut * n) smallest and int(proportiontocut * n) largest values of data along the given axis, where n is the number of unmasked values before trimming.

Parameters

data : ndarray: Data to trim.
proportiontocut : float, optional: Percentage of trimming (as a float between 0 and 1). If n is the number of unmasked values before trimming, the number of values after trimming is (1 - 2*proportiontocut) * n. Default is 0.2.
inclusive : {(bool, bool) tuple}, optional: Tuple indicating whether the number of data being masked on each side should be rounded (True) or truncated (False).
axis : int, optional: Axis along which to perform the trimming. If None, the input array is first flattened.

Aliases

scipy.stats._mstats_basic.trimboth