scipy.stats.mstats.trimtail(data, proportiontocut=0.20000000000000001, tail='left', inclusive=(True, True), axis=None)
Trims the data by masking int(trim*n) values from ONE tail of the
data along the given axis, where n is the number of unmasked values.
Parameters :

data : {ndarray}

Data to trim.

proportiontocut : {0.2, float} optional

Percentage of trimming. If n is the number of unmasked values before trimming, the number of values after trimming is (1-proportiontocut)*n.

tail : {‘left’,’right’} optional

If left (right), the proportiontocut lowest (greatest) values will be masked.

inclusive : {(True, True) tuple} optional

Tuple indicating whether the number of data being masked on each side should be rounded (True) or truncated (False).

axis : {None, integer}, optional

Axis along which to perform the trimming. If None, the input array is first flattened.

Previous topic


Next topic


This Page