如何根据行中的多个条件以及从上面的数据中填充数据帧中缺失的数据

import pandas as pd
import numpy as np

# 加载数据帧
df = pd.DataFrame({'条件1': [1, 2, np.nan, 4, 5],
                   '条件2': [np.nan, 2, 3, np.nan, 5],
                   '数据': [10, 20, 30, 40, 50]})

condition = (df['条件1'] > 2) & (df['条件2'].notnull())
filtered_data = df.loc[condition, '数据']

df['数据'] = df['数据'].fillna(filtered_data)

import pandas as pd
import numpy as np

# 加载数据帧
df = pd.DataFrame({'条件1': [1, 2, np.nan, 4, 5],
                   '条件2': [np.nan, 2, 3, np.nan, 5],
                   '数据': [10, 20, 30, 40, 50]})

# 根据条件筛选数据
condition = (df['条件1'] > 2) & (df['条件2'].notnull())
filtered_data = df.loc[condition, '数据']

# 填充缺失数据
df['数据'] = df['数据'].fillna(filtered_data)