- scipy.signal.argrelextrema(data, comparator, axis=0, order=1, mode='clip')[source]#
Calculate the relative extrema of data.
Array in which to find the relative extrema.
Function to use to compare two data points. Should take two arrays as arguments.
- axisint, optional
Axis over which to select from data. Default is 0.
- orderint, optional
How many points on each side to use for the comparison to consider
comparator(n, n+x)to be True.
- modestr, 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 is ‘clip’. See
- extrematuple of ndarrays
Indices of the maxima in arrays of integers.
extrema[k]is the array of indices of axis k of data. Note that the return value is a tuple even when data is 1-D.
New in version 0.11.0.
>>> import numpy as np >>> 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]))