juHow用于查找python中大于1或0的缺失值的%

import pandas as pd

# 创建一个包含缺失值的示例数据
data = pd.DataFrame({'A': [1, 2, np.nan, 4, 5],
                     'B': [0, np.nan, np.nan, 7, 8],
                     'C': [np.nan, np.nan, np.nan, np.nan, np.nan],
                     'D': [1, 2, 3, 4, 5]})

# 使用isnull()方法查找缺失值
missing_values = data.isnull()

# 计算大于1或0的缺失值的百分比
greater_than_1_or_0 = missing_values.mean() > 0.01
percentage = greater_than_1_or_0.mean() * 100

print("大于1或0的缺失值的百分比：{:.2f}%".format(percentage))