/Python/Find duplicated rows with respect to multiple columns 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

Source: stackoverflow.com

Similar codes

1 vote152 views1 answer
Django filter text first character upper case
Python Django
1 vote125 views1 answer
What is the meaning of illiteral with base 10
Python
11 votes134 views5 answers
Capitalize first letter in python
Python
0 vote130 views1 answer
Python find closest value in list to zero
Python
0 vote120 views1 answer
Menu extension in mit app inventor
Python
0 vote127 views1 answer
Python list divide
Python
0 vote127 views1 answer
Python ip address increment
Python
2 votes126 views3 answers
Convert categorical data type to int in pandas
Python
40 votes117 views6 answers
How to print error in try except python
Python
0 vote130 views1 answer
Pandas to latex table newline not working
Python