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How to count duplicate rows in pandas dataframe?

Hello Guys, How are you all? Hope You all Are Fine. Today We Are Going To learn about How to count duplicate rows in pandas dataframe in Python. So Here I am Explain to you all the possible Methods here.

Without wasting your time, Let’s start This Article.

Table of Contents

How to count duplicate rows in pandas dataframe?

  1. How to count duplicate rows in pandas dataframe?

    You can groupby on all the columns and call size the index indicates the duplicate values:

  2. count duplicate rows in pandas dataframe

    You can groupby on all the columns and call size the index indicates the duplicate values:

Method 1

You can groupby on all the columns and call size the index indicates the duplicate values:

In [28]:
df.groupby(df.columns.tolist(),as_index=False).size()

Out[28]:
one    three  two  
False  False  True     1
True   False  False    2
       True   True     1
dtype: int64

Method 2

df.groupby(df.columns.tolist()).size().reset_index().\
    rename(columns={0:'records'})

   one  two  records
0    1    1        2
1    1    2        1

Summery

It’s all About this issue. Hope all Methods helped you a lot. Comment below Your thoughts and your queries. Also, Comment below which Method worked for you? Thank You.

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