statsmodels.stats.robust_compare.trim_mean

statsmodels.stats.robust_compare.trim_mean(a, proportiontocut, axis=0)

Return mean of array after trimming observations from both tails

If proportiontocut = 0.1, slices off ‘leftmost’ and ‘rightmost’ 10% of scores. Slices 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 at each tail of the sorted observations.

axisint or None, optional

Axis along which the trimmed means are computed. The default is axis=0. If axis is None then the trimmed mean will be computed for the flattened array.

Returns:

trim_meanndarray

Mean of trimmed array.