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# 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.