scipy.stats.mstats.
trimtail#
- scipy.stats.mstats.trimtail(data, proportiontocut=0.2, tail='left', inclusive=(True, True), axis=None)[source]#
- Trims the data by masking values from one tail. - Parameters:
- dataarray_like
- Data to trim. 
- proportiontocutfloat, optional
- Percentage of trimming. If n is the number of unmasked values before trimming, the number of values after trimming is - (1 - proportiontocut) * n. Default is 0.2.
- tail{‘left’,’right’}, optional
- If ‘left’ the proportiontocut lowest values will be masked. If ‘right’ the proportiontocut highest values will be masked. Default is ‘left’. 
- inclusive{(bool, bool) tuple}, optional
- Tuple indicating whether the number of data being masked on each side should be rounded (True) or truncated (False). Default is (True, True). 
- axisint, optional
- Axis along which to perform the trimming. If None, the input array is first flattened. Default is None. 
 
- Returns:
- trimtailndarray
- Returned array of same shape as data with masked tail values.