how to check for duplicates in a column in python
boolean = df['Student'].duplicated().any() # True
how to check for duplicates in a column in python
boolean = df['Student'].duplicated().any() # True
count duplicates in one column pandas
df.pivot_table(index=['DataFrame Column'], aggfunc='size')
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
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