PYTHON

Check for duplicate values in dataframe

df.duplicated().sum()

how to check for duplicates in a column in python

boolean = df['Student'].duplicated().any() # True

find duplicate in dataset python

df.duplicated('Id')
#return total duplicate 
df.duplicated('Id').sum()

pandas.duplicated

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

check for duplicates in a pandas Series

animals = pd.Series(['lama', 'cow', 'lama', 'beetle', 'lama'])
>>> animals.duplicated()

pandas.duplicated

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

pandas count duplicateds

In [28]:
df.groupby(df.columns.tolist(),as_index=False).size()

Out[28]:
one    three  two  
False  False  True     1
True   False  False    2
       True   True     1
dtype: int64

how to find duplicates in pandas

ids = df["ID"]
df[ids.isin(ids[ids.duplicated()])].sort_values("ID")