python :如何在密度曲线中找到最后一个最小值

import numpy as np
import matplotlib.pyplot as plt

# 生成随机数据
data = np.random.normal(size=1000)

# 绘制密度曲线
plt.hist(data, bins=30, density=True, alpha=0.5)
plt.plot(np.linspace(min(data), max(data), 100), 
         stats.gaussian_kde(data)(np.linspace(min(data), max(data), 100)))

# 找到最后一个最小值
min_values = np.where(np.diff(np.sign(np.diff(stats.gaussian_kde(data)(np.linspace(min(data), max(data), 100))))))[0] + 1
last_min_value = min_values[-1]

# 在图上标记最后一个最小值
plt.plot(np.linspace(min(data), max(data), 100)[last_min_value], 
         stats.gaussian_kde(data)(np.linspace(min(data), max(data), 100))[last_min_value], 'ro')

plt.show()