Answers for "find duplicates in pandas"

find duplicated rows with respect to multiple columns pandas

df = df[df.duplicated(subset=['val1','val2'], keep=False)]
print (df)
   id  val1  val2
0   1   1.1   2.2
1   1   1.1   2.2
3   3   8.8   6.2
4   4   1.1   2.2
5   5   8.8   6.2

how to check for duplicates in a column in python

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

python - show repeted values in a column

df = df[df.duplicated(subset=['val1','val2'], keep=False)]

pandas.duplicated

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

count duplicates in one column pandas

df.pivot_table(index=['DataFrame Column'], aggfunc='size')