mean_trimmed#

named_arrays.mean_trimmed(a, q=0.25, axis=None, dtype=None, out=None, keepdims=False)#

Compute the trimmed mean of the given array along the specified axes.

Parameters:

  • a (ArrayT) – The input array to compute the trimmed mean of.

  • q (QuantileT) – The fraction of the largest and smallest elements to remove. Must be between 0 and 1/2. If the specified fraction does not result in an integer number of elements, the number of elements to trim is rounded down.

  • axis (None | str | Sequence[str]) – The axis or axes along which to compute the trimmed mean.

  • dtype (None | str | Type | dtype) – The data type of the output

  • out (None | AbstractExplicitArray) – An optional output array in which to store the results.

  • keepdims (bool) – If True, the resulting array will have the same dimensionality.

Return type:

ArrayT | QuantileT

See also

scipy.stats.trim_mean()

equivalent Numpy function

AbstractScalar.mean_trimmed()

A method version of this function.