1.调用包
import numpy as np
import scipy.signal as sg
2.示例
2.1 简单示例
import numpy as np
import scipy.signal as sg
import matplotlib.pyplot as plt
def get_maxima(values: np.ndarray):
"""极大值点"""
max_index = sg.argrelmax(values)[0]
return max_index, values[max_index]
def get_minima(values: np.ndarray):
"""极小值点"""
min_index = sg.argrelmin(values)[0] # 极小值的下标
return min_index, values[min_index] # 返回极小值
if __name__ == '__main__':
data = np.array([2, 1.5, 1, 1.5, 2, 3, 2, 0, 2, 3, 0])
print("极值点下标", "极值")
print(get_minima(data))
print(get_maxima(data))
plt.figure()
plt.plot(data,'b')
x,y=get_minima(data)
plt.scatter(x,y)#,sizes=x*25,marker='o',color='r'
x, y =get_maxima(data)
plt.scatter(x,y)#,sizes=x*25,marker='*',color='y'
plt.show()
2.2 设置极值点颜色、形状、大小
import numpy as np
import scipy.signal as sg
import matplotlib.pyplot as plt
def get_maxima(values: np.ndarray):
"""极大值点"""
max_index = sg.argrelmax(values)[0]
return max_index, values[max_index]
def get_minima(values: np.ndarray):
"""极小值点"""
min_index = sg.argrelmin(values)[0] # 极小值的下标
return min_index, values[min_index] # 返回极小值
if __name__ == '__main__':
data = np.array([2, 1.5, 1, 1.5, 2, 3, 2, 0, 2, 3, 0])
print("极值点下标", "极值")
print(get_minima(data))
print(get_maxima(data))
plt.figure()
plt.plot(data,'b')
x,y=get_minima(data)
plt.scatter(x,y,sizes=x*25,marker='o',color='r')
x, y =get_maxima(data)
plt.scatter(x,y,sizes=x*25,marker='*',color='y')
plt.show()
