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()]

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