`scipy.signal._peak_finding:_boolrelextrema`

Signature

   def     _boolrelextrema (    data    ,    comparator    ,    axis    =  0   ,    order    =  1   ,    mode    =  clip     )

Calculate the relative extrema of data.

Relative extrema are calculated by finding locations where comparator(data[n], data[n+1:n+order+1]) is True.

data : ndarray: Array in which to find the relative extrema.
comparator : callable: Function to use to compare two data points. Should take two arrays as arguments.
axis : int, optional: Axis over which to select from data. Default is 0.
order : int, optional: How many points on each side to use for the comparison to consider comparator(n,n+x) to be True.
mode : str, optional: How the edges of the vector are treated. 'wrap' (wrap around) or 'clip' (treat overflow as the same as the last (or first) element). Default 'clip'. See numpy.take.

extrema : ndarray: Boolean array of the same shape as data that is True at an extrema, False otherwise.

import numpy as np
from scipy.signal._peak_finding import _boolrelextrema
testdata = np.array([1,2,3,2,1])

✓

_boolrelextrema(testdata, np.greater, axis=0)

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