Pandas.duplicated

>>> df.duplicated(subset=['brand'])
0    False
1     True
2    False
3     True
4     True
dtype: bool

Source: pandas.pydata.org

Pandas.duplicated

>>> df.duplicated(keep='last')
0     True
1    False
2    False
3    False
4    False
dtype: bool

-1

Source: pandas.pydata.org

Pandas.duplicated

>>> df = pd.DataFrame({
...     'brand': ['Yum Yum', 'Yum Yum', 'Indomie', 'Indomie', 'Indomie'],
...     'style': ['cup', 'cup', 'cup', 'pack', 'pack'],
...     'rating': [4, 4, 3.5, 15, 5]
... })
>>> df
    brand style  rating
0  Yum Yum   cup     4.0
1  Yum Yum   cup     4.0
2  Indomie   cup     3.5
3  Indomie  pack    15.0
4  Indomie  pack     5.0

-2

Source: pandas.pydata.org

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