按照mask为True的位置添加指定值和输出True坐标

import pandas as pd
import numpy as np


# Create sample DataFrame
df = pd.DataFrame({'A': [1, 2, 3],
                   'B': [4, 5, 6],
                   'C': [7, 8, 9]})

df1 = df + np.random.randn(3, 3)
mask = (df1 - df) > 0.5

# Apply styling and annotations to DataFrame


mask_idxs = []
# Add values from df1 as annotations in df
for i, j in zip(*np.where(mask)):
    value = df1.iloc[i, j]
    df.iloc[i, j] = f'{df.iloc[i, j]}/{value:.3f}'
    mask_idxs.append((i+1, j+1))

print(mask_idxs)