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NotesParametersReturns
_select_by_property(peak_properties, pmin, pmax)

Notes

versionadded

Parameters

peak_properties : ndarray

An array with properties for each peak.

pmin : None or number or ndarray

Lower interval boundary for :None:None:`peak_properties`. None is interpreted as an open border.

pmax : None or number or ndarray

Upper interval boundary for :None:None:`peak_properties`. None is interpreted as an open border.

Returns

keep : bool

A boolean mask evaluating to true where :None:None:`peak_properties` confirms to the interval.

Evaluate where the generic property of peaks confirms to an interval.

See Also

find_peaks

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/signal/_peak_finding.py#640
type: <class 'function'>
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