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.

See also

argrelmin, argrelmax

Notes

New in version 0.11.0.

Examples

>>> 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]))

scipy.signal.argrelmax

scipy.signal.find_peaks