如何使用python识别重复的值并创建不同的列

import pandas as pd

data = {'ID': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
        'Value': ['A', 'B', 'C', 'A', 'B', 'C', 'A', 'B', 'C', 'A']}
df = pd.DataFrame(data)

df['Is_Duplicate'] = df.duplicated('Value')

df['Duplicate_Group'] = df['Is_Duplicate'].cumsum()

import pandas as pd

data = {'ID': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
        'Value': ['A', 'B', 'C', 'A', 'B', 'C', 'A', 'B', 'C', 'A']}
df = pd.DataFrame(data)

df['Is_Duplicate'] = df.duplicated('Value')
df['Duplicate_Group'] = df['Is_Duplicate'].cumsum()

print(df)

   ID Value  Is_Duplicate  Duplicate_Group
0   1     A         False                0
1   2     B         False                0
2   3     C         False                0
3   4     A          True                1
4   5     B          True                2
5   6     C          True                3
6   7     A          True                4
7   8     B          True                5
8   9     C          True                6
9  10     A          True                7