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# scipy.stats.tmean

`scipy.stats.``tmean`(a, limits=None, inclusive=(True, True), axis=None)

  Compute the trimmed mean.

  This function finds the arithmetic mean of given values, ignoring values outside the given limits.

  Parameters: | a : array_like Array of values. limits : None or (lower limit, upper limit), optional Values in the input array less than the lower limit or greater than the upper limit will be ignored. When limits is None (default), then all values are used. Either of the limit values in the tuple can also be None representing a half-open interval. inclusive : (bool, bool), optional A tuple consisting of the (lower flag, upper flag). These flags determine whether values exactly equal to the lower or upper limits are included. The default value is (True, True). axis : int or None, optional Axis along which to compute test. Default is None.
  Returns: | tmean : float

  See also

  `trim_mean`
    returns mean after trimming a proportion from both tails.

  Examples

      >>> from scipy import stats
      >>> x = np.arange(20)
      >>> stats.tmean(x)
      9.5
      >>> stats.tmean(x, (3,17))
      10.0