trim(a, limits=None, inclusive=(True, True), relative=False, axis=None)
Returns a masked version of the input array.
Input array
If relative is False, tuple (lower limit, upper limit) in absolute values. Values of the input array lower (greater) than the lower (upper) limit are masked.
If relative is True, tuple (lower percentage, upper percentage) to cut on each side of the array, with respect to the number of unmasked data.
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)) In each case, the value of one limit can be set to None to indicate an open interval.
If limits is None, no trimming is performed
Whether to consider the limits as absolute values (False) or proportions to cut (True).
Axis along which to trim.
Trims an array by masking the data outside some given limits.
from scipy.stats.mstats import trim
z = [ 1, 2, 3, 4, 5, 6, 7, 8, 9,10]
print(trim(z,(3,8)))
print(trim(z,(0.1,0.2),relative=True))
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