在Python Pandas中，如何根据现有的2列重复值添加新列

import pandas as pd
import numpy as np

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

df['is_duplicate'] = df.duplicated()

df['new_column'] = np.where(df['is_duplicate'], '重复', '不重复')

import pandas as pd
import numpy as np

# 创建DataFrame示例
data = {'A': [1, 2, 3, 4, 4],
        'B': [5, 6, 7, 7, 8]}
df = pd.DataFrame(data)

# 判断重复值
df['is_duplicate'] = df.duplicated()

# 根据重复值添加新列
df['new_column'] = np.where(df['is_duplicate'], '重复', '不重复')

print(df)

   A  B  is_duplicate new_column
0  1  5         False       不重复
1  2  6         False       不重复
2  3  7         False       不重复
3  4  7         False       不重复
4  4  8          True         重复