如何返回最小目标函数对应的列？

import numpy as np

def find_min_column(data, target_function):
    min_value = float('inf')
    min_column_index = -1

    for i in range(data.shape[1]):
        column = data[:, i]
        value = target_function(column)

        if value < min_value:
            min_value = value
            min_column_index = i

    return min_column_index

# 示例目标函数：求列的平均值
def target_function(column):
    return np.mean(column)

# 示例数据
data = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])

# 调用函数查找最小目标函数对应的列的索引
min_column_index = find_min_column(data, target_function)

print("最小目标函数对应的列的索引：", min_column_index)