scipy.signal.
argrelextrema#
- scipy.signal.argrelextrema(data, comparator, axis=0, order=1, mode='clip')[source]#
- Calculate the relative extrema of data. - Parameters:
- datandarray
- Array in which to find the relative extrema. 
- comparatorcallable
- 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 - numpy.take.
 
- Returns:
- 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.
 
 - Notes - Added in version 0.11.0. - Examples - >>> 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]))