trimr#
- scipy.stats.mstats.trimr(a, limits=None, inclusive=(True, True), axis=None)[source]#
Trims an array by masking some proportion of the data on each end. Returns a masked version of the input array.
Deprecated since version 2.0.0:
scipy.stats.mstats.trimris deprecated as of SciPy 2.0.0 and will be removed, along with thescipy.stats.mstatsnamespace, in SciPy 2.4.0. SciPy offers no replacement for this function. See the Trimming and winsorization transition guide for alternatives.- Parameters:
- asequence
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.