我的目标是在panda或matplotlib中找到函数的局部最大值和最小值的指数。
假设我们有一个噪声信号，其局部最大值和最小值已经绘制，如以下链接所示：
https://stackoverflow.com/a/50836425/15934571
下面是代码（我只是从上面的链接复制粘贴）：

import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from scipy.signal import argrelextrema

# Generate a noisy AR(1) sample

np.random.seed(0)
rs = np.random.randn(200)
xs = [0]
for r in rs:
    xs.append(xs[-1] * 0.9 + r)
df = pd.DataFrame(xs, columns=['data'])

n = 5  # number of points to be checked before and after

# Find local peaks

df['min'] = df.iloc[argrelextrema(df.data.values, np.less_equal,
                    order=n)[0]]['data']
df['max'] = df.iloc[argrelextrema(df.data.values, np.greater_equal,
                    order=n)[0]]['data']

# Plot results

plt.scatter(df.index, df['min'], c='r')
plt.scatter(df.index, df['max'], c='g')
plt.plot(df.index, df['data'])
plt.show()

所以，我不知道如何继续从这一点，并找到相应的指数获得局部最大值和最小值的曲线。将不胜感激任何帮助！