scipy.stats.trim1¶
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scipy.stats.trim1(a, proportiontocut, tail='right', axis=0)[source]¶ Slice off a proportion from ONE end of the passed array distribution.
If proportiontocut = 0.1, slices off ‘leftmost’ or ‘rightmost’ 10% of scores. The lowest or highest values are trimmed (depending on the tail). Slice off less if proportion results in a non-integer slice index (i.e. conservatively slices off proportiontocut ).
- Parameters
- aarray_like
Input array.
- proportiontocutfloat
Fraction to cut off of ‘left’ or ‘right’ of distribution.
- tail{‘left’, ‘right’}, optional
Defaults to ‘right’.
- axisint or None, optional
Axis along which to trim data. Default is 0. If None, compute over the whole array a.
- Returns
- trim1ndarray
Trimmed version of array a. The order of the trimmed content is undefined.
Examples
>>> from scipy import stats >>> a = np.arange(20) >>> b = stats.trim1(a, 0.5, 'left') >>> b array([10, 11, 12, 13, 14, 16, 15, 17, 18, 19])