如何迭代pandas中的唯一值并计算关联值的频率

import pandas as pd

# 创建一个示例 DataFrame
data = {
    'A': [1, 2, 2, 3, 3, 3, 4, 4, 4, 4],
    'B': ['foo', 'bar', 'foo', 'bar', 'foo', 'foo', 'bar', 'bar', 'foo', 'bar']
}
df = pd.DataFrame(data)

# 迭代列 'A' 中的唯一值并计算关联值的频率
unique_values = df['A'].unique()
for value in unique_values:
    frequency = df['A'].value_counts()[value]
    print(f'Value: {value}, Frequency: {frequency}')

# 迭代列 'B' 中的唯一值并计算关联值的频率
unique_values = df['B'].unique()
for value in unique_values:
    frequency = df['B'].value.findall(value)
    print(f'Value: {value}, Frequency: {frequency}')