Pandas填充其他行中的列中缺少的数据

import pandas as pd

# 创建一个包含缺失值的DataFrame
data = {'A': [1, 2, None, 4, 5],
        'B': [None, 2, 3, None, 5]}
df = pd.DataFrame(data)

# 使用fillna()函数填充缺失值
df_filled = df.fillna(0)

print(df_filled)

     A    B
0  1.0  0.0
1  2.0  2.0
2  0.0  3.0
3  4.0  0.0
4  5.0  5.0

df_filled = df.fillna(method='ffill')

print(df_filled)

     A    B
0  1.0  NaN
1  2.0  2.0
2  2.0  3.0
3  4.0  3.0
4  5.0  5.0

df_filled = df.interpolate()

print(df_filled)

     A    B
0  1.0  NaN
1  2.0  2.0
2  3.0  3.0
3  4.0  4.0
4  5.0  5.0