根据列值删除level内的所有行来过滤多索引数据帧

import pandas as pd

data = {'A': [1, 2, 3, 4, 5],
        'B': [6, 7, 8, 9, 10],
        'C': [11, 12, 13, 14, 15]}
index = pd.MultiIndex.from_tuples([('X', 'a'), ('X', 'b'), ('Y', 'c'), ('Y', 'd'), ('Z', 'e')], names=['level_1', 'level_2'])
df = pd.DataFrame(data, index=index)

filtered_df = df.drop(df[df['A'] == 3].index)

print(filtered_df)

import pandas as pd

data = {'A': [1, 2, 3, 4, 5],
        'B': [6, 7, 8, 9, 10],
        'C': [11, 12, 13, 14, 15]}
index = pd.MultiIndex.from_tuples([('X', 'a'), ('X', 'b'), ('Y', 'c'), ('Y', 'd'), ('Z', 'e')], names=['level_1', 'level_2'])
df = pd.DataFrame(data, index=index)

filtered_df = df.drop(df[df['A'] == 3].index)

print(filtered_df)

               A   B   C
level_1 level_2         
X       a       1   6  11
        b       2   7  12
Y       c       4   9  14
Z       e       5  10  15