如何从pandas dataframe中删除特定的重复列，只留下一个实例

import pandas as pd

data = {
    'A': [1, 2, 3, 4, 5],
    'B': [1, 2, 3, 4, 5],
    'C': [1, 2, 3, 4, 5],
    'D': [1, 2, 3, 4, 5],
    'E': [1, 2, 3, 4, 5],
    'F': [1, 2, 3, 4, 5],
    'G': [1, 2, 3, 4, 5],
    'H': [1, 2, 3, 4, 5],
    'I': [1, 2, 3, 4, 5],
    'J': [1, 2, 3, 4, 5],
    'K': [1, 2, 3, 4, 5],
}

df = pd.DataFrame(data)

df = df.loc[:, ~df.columns.duplicated()]

print(df)

   A  B  C  D  E  F  G  H  I  J  K
0  1  1  1  1  1  1  1  1  1  1  1
1  2  2  2  2  2  2  2  2  2  2  2
2  3  3  3  3  3  3  3  3  3  3  3
3  4  4  4  4  4  4  4  4  4  4  4
4  5  5  5  5  5  5  5  5  5  5  5