如何在数据框中选择最接近零(正负)的值

import pandas as pd

def find_closest_to_zero(df):
    closest_value = None
    min_difference = float('inf')  # 初始化差值为正无穷大

    for value in df.values.flatten():
        difference = abs(value - 0)  # 计算差值的绝对值

        if difference < min_difference:
            min_difference = difference
            closest_value = value

    return closest_value

# 示例数据框
df = pd.DataFrame({'A': [1, -2, 3, -4, 5]})

# 调用函数查找最接近零的值
closest_value = find_closest_to_zero(df)

print("最接近零的值为:", closest_value)