argrelextrema

scipy.signal.argrelextrema(data,comparator,axis=0,order=1,mode='clip')[source]¶calculate the

len_window)frame_indexes=np.asarray(argrelextrema(sm_diff_array,np.greater))[0]for i in frame_

def ismonotonic(x):max_peaks=signal.argrelextrema(x,np.greater)[0]min_peaks=signal.argrelextrema(x,

import scipy.signal as signal extreme_geater=signal.argrelextrema(data,np.greater)#给出的是位置标号

argrelmax notes new in version 0.11.0.examples>>>from scipy.signal import argrelextrema>>>x=np.array

import numpy as np from scipy.signal import argrelextrema profile1="data posted below"profile1_

scipy.signal.argrelextrema import numpy as np vector=[0,6,25,20,15,8,15,6,0,6,0,-5,-15,-3,4,10,8,13,

使用 scipy.signal 的 argrelextrema 函数(API)，简单方便 import numpy as np import pylab as pl import

python 寻找离散序列极值点 使用 scipy.signal 的 argrelextrema 函数(API)，简单方便地寻找离散序列极值点

print(x[signal.argrelextrema(x,np.greater)]) print(signal.argrelextrema(x,np.greater)) 但是这个命令