使用`numpy.digitize`拆分NumPy数组后，如何计算每个bin的平均值？

import numpy as np

# 创建一个示例的NumPy数组
arr = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])

# 定义bin的边界
bins = np.array([0, 3, 6, 10])

# 使用digitize函数拆分数组为bin
indices = np.digitize(arr, bins)

# 计算每个bin的平均值
bin_avg = np.bincount(indices, weights=arr) / np.bincount(indices)

# 打印每个bin的平均值
for i in range(1, len(bin_avg)):
    print(f"Bin {i}: {bin_avg[i]}")

Bin 1: 2.0
Bin 2: 4.5
Bin 3: 8.0