删除重复的列值，并根据pandas中的条件选择保留行

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]}
df = pd.DataFrame(data)

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

df = df[df['A'] > 2]

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]}
df = pd.DataFrame(data)

df = df.loc[:, ~df.columns.duplicated()]
df = df[df['A'] > 2]

print(df)