scipy.stats.trimboth¶
- 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). 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 the observations are trimmed. The default is to trim along axis=0. If axis is None then the array will be flattened before trimming.
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,)