Pandas分析工具使用什么方法来识别重复行？

import pandas as pd

# 创建示例DataFrame
data = {'A': [1, 2, 3, 2, 4],
        'B': [4, 5, 6, 2, 5],
        'C': [7, 8, 9, 9, 2]}
df = pd.DataFrame(data)

# 识别重复行
duplicate_rows = df.duplicated()

print(duplicate_rows)

0    False
1    False
2    False
3     True
4    False
dtype: bool

import pandas as pd

# 创建示例DataFrame
data = {'A': [1, 2, 3, 2, 4],
        'B': [4, 5, 6, 2, 5],
        'C': [7, 8, 9, 9, 2]}
df = pd.DataFrame(data)

# 删除重复行
df_no_duplicates = df.drop_duplicates()

print(df_no_duplicates)

   A  B  C
0  1  4  7
1  2  5  8
2  3  6  9
3  2  2  9
4  4  5  2