statsmodels.stats.robust_compare.trim_mean¶

statsmodels.stats.robust_compare.trim_mean(a, proportiontocut, axis=0)[source]¶

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:¶

a : array_like¶

Input array

proportiontocut : float¶

Fraction to cut off at each tail of the sorted observations.

axis : int or None¶

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_mean – Mean of trimmed array.

Return type:¶

ndarray