带有groupby的Pandas数据框:如何为每个组中的第一行和最后一行创建指示符变量

import pandas as pd

data = {'Group': ['A', 'A', 'A', 'B', 'B', 'B'],
        'Value': [1, 2, 3, 4, 5, 6]}
df = pd.DataFrame(data)

def create_indicator(group):
    group['First'] = 0
    group['Last'] = 0
    group.loc[group.index[0], 'First'] = 1
    group.loc[group.index[-1], 'Last'] = 1
    return group

df = df.groupby('Group').apply(create_indicator)

print(df)

  Group  Value  First  Last
0     A      1      1     0
1     A      2      0     0
2     A      3      0     1
3     B      4      1     0
4     B      5      0     0
5     B      6      0     1