如何使用条件选择和groupby聚合来生成带有虚拟变量的df？

import pandas as pd
import numpy as np

data = {'A': ['foo', 'bar', 'foo', 'bar', 'foo', 'bar', 'foo', 'foo'],
        'B': ['one', 'one', 'two', 'two', 'two', 'one', 'two', 'one'],
        'C': [1, 2, 3, 4, 5, 6, 7, 8],
        'D': [10, 20, 30, 40, 50, 60, 70, 80]}
df = pd.DataFrame(data)

df_agg = df.groupby(['A', 'B']).agg({'C': 'sum', 'D': 'mean'}).reset_index()

df_dummy = pd.get_dummies(df_agg, columns=['A', 'B'])

import pandas as pd
import numpy as np

data = {'A': ['foo', 'bar', 'foo', 'bar', 'foo', 'bar', 'foo', 'foo'],
        'B': ['one', 'one', 'two', 'two', 'two', 'one', 'two', 'one'],
        'C': [1, 2, 3, 4, 5, 6, 7, 8],
        'D': [10, 20, 30, 40, 50, 60, 70, 80]}
df = pd.DataFrame(data)

df_agg = df.groupby(['A', 'B']).agg({'C': 'sum', 'D': 'mean'}).reset_index()

df_dummy = pd.get_dummies(df_agg, columns=['A', 'B'])