[1]:

import pandas as pd

[11]:

df = pd.DataFrame({

    'brand': ['Yum Yum', 'Yum Yum', 'Indomie', 'Indomie', 'Indomie'],

    'style': ['cup', 'cup', 'cup', 'pack', 'pack'],

    'rating': [4, 4, 5.0, 15, 5]

})

[7]:

df

[7]:
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 
[8]:

df.duplicated()

[8]:

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

[13]:

df.drop(columns='style').duplicated(keep=False)

[13]:

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

[23]:

b=df.eq(df.iloc[0]).all(axis='columns')
b

[23]:

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

[24]:

b[0]

[24]:

True

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