获取Pandas中满足多个条件的行号和列号

import pandas as pd

# 创建一个示例DataFrame
data = {'A': [1, 2, 3, 4, 5],
        'B': [6, 7, 8, 9, 10],
        'C': [11, 12, 13, 14, 15]}
df = pd.DataFrame(data)

# 定义多个条件
condition1 = df['A'] > 2
condition2 = df['B'] < 10

# 使用布尔索引筛选满足条件的行
filtered_rows = df[condition1 & condition2]

# 获取满足条件的行号和列号
row_indices = filtered_rows.index.tolist()
col_indices = filtered_rows.columns.tolist()

print("满足条件的行号：", row_indices)
print("满足条件的列号：", col_indices)

满足条件的行号： [2]
满足条件的列号： ['A', 'B', 'C']