pandas 删除重复
示例
用途drop_duplicates：
In [216]: df = pd.DataFrame({'A':[1,2,3,3,2],
...: 'B':[1,7,3,0,8]})
In [217]: df
Out[217]:
A B
0 1 1
1 2 7
2 3 3
3 3 0
4 2 8
# keep only the last value
In [218]: df.drop_duplicates(subset=['A'], keep='last')
Out[218]:
A B
0 1 1
3 3 0
4 2 8
# keep only the first value, default value
In [219]: df.drop_duplicates(subset=['A'], keep='first')
Out[219]:
A B
0 1 1
1 2 7
2 3 3
# drop all duplicated values
In [220]: df.drop_duplicates(subset=['A'], keep=False)
Out[220]:
A B
0 1 1当您不想获取数据框的副本，而要修改现有的数据框时：
In [221]: df = pd.DataFrame({'A':[1,2,3,3,2],
...: 'B':[1,7,3,0,8]})
In [222]: df.drop_duplicates(subset=['A'], inplace=True)
In [223]: df
Out[223]:
A B
0 1 1
1 2 7
2 3 3
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