argrelextrema(data, comparator, axis=0, order=1, mode='clip')
Array in which to find the relative extrema.
Function to use to compare two data points. Should take two arrays as arguments.
Axis over which to select from data
. Default is 0.
How many points on each side to use for the comparison to consider comparator(n, n+x)
to be True.
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 is 'clip'. See numpy.take
.
Indices of the maxima in arrays of integers. extrema[k]
is the array of indices of axis :None:None:`k` of data
. Note that the return value is a tuple even when data
is 1-D.
Calculate the relative extrema of data
.
>>> from scipy.signal import argrelextrema
... x = np.array([2, 1, 2, 3, 2, 0, 1, 0])
... argrelextrema(x, np.greater) (array([3, 6]),)
>>> y = np.array([[1, 2, 1, 2],
... [2, 2, 0, 0],
... [5, 3, 4, 4]]) ...
>>> argrelextrema(y, np.less, axis=1) (array([0, 2]), array([2, 1]))See :
The following pages refer to to this document either explicitly or contain code examples using this.
scipy.signal._peak_finding.argrelextrema
scipy.signal._peak_finding.argrelmax
scipy.signal._peak_finding.argrelmin
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