# scipy.stats.mstats.trimr

scipy.stats.mstats.trimr(a, limits=None, inclusive=(True, True), axis=None)

  Trims an array by masking some proportion of the data on each end. Returns a masked version of the input array.

  Parameters:
    a sequence

      Input array.

    limits{None, tuple}, optional

      Tuple of the percentages to cut on each side of the array, with respect to the number of unmasked data, as floats between 0. and 1. Noting n the number of unmasked data before trimming, the (n*limits[0])th smallest data and the (n*limits[1])th largest data are masked, and the total number of unmasked data after trimming is n*(1.-sum(limits)). The value of one limit can be set to None to indicate an open interval.

    inclusive{(True,True) tuple}, optional

      Tuple of flags indicating whether the number of data being masked on the left (right) end should be truncated (True) or rounded (False) to integers.

    axis{None,int}, optional

      Axis along which to trim. If None, the whole array is trimmed, but its shape is maintained.