Pandas print duplicate rows

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

Python - show repeted values in a column

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

Source: stackoverflow.com

Pandas show duplicate rows

import pandas as pd

# Show all rows that are duplicates based on the column 'col_x'

df[df.duplicated(['col_x'], keep=False)].sort_values(by=['col_x'])

Source: pandas.pydata.org

Pandas print duplicate rows

df[df.duplicated()]

Similar codes

1 vote249 views1 answer
Python - Comment chiffrer une boucle
Python
34 votes157 views6 answers
Python to exe converter online
Python
11 votes153 views4 answers
Create a 2d array in python
Python
73 votes147 views6 answers
Remove duplicates python
Python
12 votes143 views2 answers
Memory Usage in python
Python
9 votes168 views2 answers
How to parse http request in python
Python
0 vote158 views1 answer
Python write data to file with permissions
Python
0 vote138 views1 answer
Who is bayceee roblox id
Python
0 vote144 views1 answer
Python set cookies
Python
0 vote172 views1 answer
File "pandas/_libs/index.pyx", line 465, in pandas._libs.index.DatetimeEngine.get_loc KeyError: Timestamp('2019-01-02 07:09:00')
Python