如何在Python中向量化这个峰值查找for循环？

import numpy as np

def find_peak(arr):
    # 将数组转换为NumPy的ndarray
    arr = np.array(arr)
    
    # 计算数组中每个元素与相邻元素的差值
    differences = np.diff(arr)
    
    # 找到差值为正的位置，即峰值的左侧
    left_indices = np.where(differences > 0)[0]
    
    # 找到差值为负的位置，即峰值的右侧
    right_indices = np.where(differences < 0)[0]
    
    # 找到峰值的索引
    peak_index = np.intersect1d(left_indices, right_indices)
    
    # 返回峰值的索引和值
    return peak_index, arr[peak_index]

# 示例用法
arr = [1, 3, 2, 5, 4, 7, 6]
peak_index, peak_value = find_peak(arr)
print("峰值索引：", peak_index)
print("峰值：", peak_value)