如何在大型熊猫DataFrame中找到对应的索引和列的`True`值？

import pandas as pd
import numpy as np

df = pd.DataFrame({'A': [True, False, True],
                   'B': [False, True, False],
                   'C': [True, True, False]})

row_indices, col_indices = np.where(df == True)

for i in range(len(row_indices)):
    print("索引：", row_indices[i], " 列：", df.columns[col_indices[i]])