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

Similar codes

22 votes260 views6 answers
How to take list input in python
Python
-1 vote266 views1 answer
Traduce query model
Python
0 vote267 views1 answer
How to get the top 100 frequent words on a python dataframe colummn
Python
4 votes257 views1 answer
Removing whitespaces from pandas dataframe csv
Python
0 vote259 views1 answer
Df groupby loop
Python
6 votes265 views2 answers
Python how to drop columns from dataframe
Python
14 votes356 views2 answers
Django static files / templates
Python Django
1 vote267 views1 answer
Count how many times a value shows in python list
Python
6 votes272 views2 answers
Python get current time in seconds
Python
1 vote287 views1 answer
Charts in python
Python