如何计算新列中的累积加权平均值？

import pandas as pd

# 创建示例数据表
data = {'value': [10, 20, 30, 40, 50],
        'weight': [0.1, 0.2, 0.3, 0.4, 0.5]}
df = pd.DataFrame(data)

# 计算累积加权平均值
cumulative_weighted_average = []
cumulative_weight = 0
cumulative_value = 0

for index, row in df.iterrows():
    cumulative_weight += row['weight']
    cumulative_value += row['value'] * row['weight']
    cumulative_weighted_average.append(cumulative_value / cumulative_weight)

# 将累积加权平均值添加为新列
df['cumulative_weighted_average'] = cumulative_weighted_average

# 打印结果
print(df)