/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

0 vote181 views1 answer
New paragraph python
Python
0 vote271 views1 answer
Python class udp
Python
-1 vote194 views1 answer
Receipt ocr
Python
0 vote207 views1 answer
With torch.no_grad() if condition
Python
0 vote184 views1 answer
Quote_from_bytes() expected bytes
Python
2 votes198 views1 answer
Add a list in python
Python
0 vote185 views1 answer
List_display django foreign key
Python
0 vote231 views1 answer
Open image from link python
Python
0 vote214 views1 answer
[Solved] Pandas TypeError: no numeric data to plot
Python
0 vote179 views1 answer
List reverse method in python
Python