- scipy.signal.argrelextrema(data, comparator, axis=0, order=1, mode='clip')¶
Calculate the relative extrema of data.
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 is ‘clip’. See numpy.take.
extrema : tuple 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 one-dimensional.
New in version 0.11.0.
>>> 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]))