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ParametersReturns
trimtail(data, proportiontocut=0.2, tail='left', inclusive=(True, True), axis=None)

Parameters

data : array_like

Data to trim.

proportiontocut : 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. Default is 0.2.

tail : {'left','right'}, optional

If 'left' the proportiontocut lowest values will be masked. If 'right' the proportiontocut highest values will be masked. Default is 'left'.

inclusive : {(bool, bool) tuple}, optional

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

axis : int, optional

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

Returns

trimtail : ndarray

Returned array of same shape as data with masked tail values.

Trims the data by masking values from one tail.

Examples

See :

Local connectivity graph

Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.

Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them


GitHub : /scipy/stats/_mstats_basic.py#1959
type: <class 'function'>
Commit: