Breaking News: Grepper is joining You.com. Read the official announcement!

remove duplicate row in df

Add Answer

Sachin answered on August 19, 2020 Popularity 10/10 Helpfulness 7/10

answer remove duplicate row in df

related Remove duplicates with pandas

related delete the entire row while remove duplicates with python'

related dataframe delete duplicate rows with same column value

related pandas drop duplicates from column

related pandas drop duplicates

related pd drop duplicate columns

related how to drop duplicate columns in pandas that dont have the same name?

related dropping duplicates in a dataframe pandas

remove duplicate row in df

Comment

# Below are quick example
# keep first duplicate row
df2 = df.drop_duplicates()

# Using DataFrame.drop_duplicates() to keep first duplicate row
df2 = df.drop_duplicates(keep='first')

# keep last duplicate row
df2 = df.drop_duplicates( keep='last')

# Remove all duplicate rows 
df2 = df.drop_duplicates(keep=False)

# Delete duplicate rows based on specific columns 
df2 = df.drop_duplicates(subset=["Courses", "Fee"], keep=False)

# Drop duplicate rows in place
df.drop_duplicates(inplace=True)

# Using DataFrame.apply() and lambda function 
df2 = df.apply(lambda x: x.astype(str).str.lower()).drop_duplicates(subset=['Courses', 'Fee'], keep='first')

Popularity 10/10 Helpfulness 7/10 Language python

Source: Grepper

Tags: python row

Link to this answer
Share Copy Link

Contributed on Aug 19 2020

Sachin

0 Answers Avg Quality 2/10

Closely Related Answers

Remove duplicates with pandas

Comments(1)

import pandas as pd

# Drop all duplicates in the DataFrame
df = df.drop_duplicates()

# Drop all duplicates in a specific column of the DataFrame
df = df.drop_duplicates(subset = "column")

# Drop all duplicate pairs in DataFrame
df = df.drop_duplicates(subset = ["column", "column2"])

# Display DataFrame
print(df)

Popularity 10/10 Helpfulness 10/10 Language python

Source: www.datacamp.com

Tags: pandas pa

Link to this answer
Share Copy Link

Contributed on Apr 29 2022

Elisabeth Engering

0 Answers Avg Quality 2/10

delete the entire row while remove duplicates with python'

Comment

result_df = df.drop_duplicates(subset=['Column1', 'Column2'], keep='first')
print(result_df)

Popularity 10/10 Helpfulness 6/10 Language python

Source: stackoverflow.com

Tags: python py

Link to this answer
Share Copy Link

Contributed on Mar 04 2022

Doubtful Dugong

0 Answers Avg Quality 2/10

dataframe delete duplicate rows with same column value

Comment

df = df.drop_duplicates(subset=['Column1', 'Column2'], keep='first')

# Exemple
import pandas as pd
df = pd.DataFrame({"A":["foo", "foo", "foo", "bar"], "B":[0,1,1,1], "C":["A","A","B","A"]})
df.drop_duplicates(subset=['A', 'C'], keep=False)

Popularity 10/10 Helpfulness 6/10 Language python

Source: Grepper

Tags: dataframe data

Link to this answer
Share Copy Link

Contributed on Dec 17 2021

0 Answers Avg Quality 2/10

dataframe delete duplicate rows with same column value

Comment

df = df.drop_duplicates(subset=['Column1', 'Column2'], keep='first')

# Exemple
import pandas as pd
df = pd.DataFrame({"A":["foo", "foo", "foo", "bar"], "B":[0,1,1,1], "C":["A","A","B","A"]})
df.drop_duplicates(subset=['A', 'C'], keep=False)

Popularity 10/10 Helpfulness 5/10 Language python

Source: Grepper

Tags: dataframe data

Link to this answer
Share Copy Link

Contributed on Dec 17 2021

0 Answers Avg Quality 2/10

pandas drop duplicates from column

Comment

data = data.drop_duplicates(subset=['City'], keep='first')

Popularity 10/10 Helpfulness 5/10 Language python

Source: duckduckgo.com

Tags: pandas pa

Link to this answer
Share Copy Link

Contributed on May 15 2022

Clean Chimpanzee

0 Answers Avg Quality 2/10

pandas drop duplicates

Comment

borrar duplicados pandas

# Below are quick example
# keep first duplicate row
df2 = df.drop_duplicates()

# Using DataFrame.drop_duplicates() to keep first duplicate row
df2 = df.drop_duplicates(keep='first')

# keep last duplicate row
df2 = df.drop_duplicates( keep='last')

# Remove all duplicate rows 
df2 = df.drop_duplicates(keep=False)

# Delete duplicate rows based on specific columns 
df2 = df.drop_duplicates(subset=["Courses", "Fee"], keep=False)

# Drop duplicate rows in place
df.drop_duplicates(inplace=True)

# Using DataFrame.apply() and lambda function 
df2 = df.apply(lambda x: x.astype(str).str.lower()).drop_duplicates(subset=['Courses', 'Fee'], keep='first')

Popularity 9/10 Helpfulness 4/10 Language c

Source: sparkbyexamples.com

Tags: c pandas panda

Link to this answer
Share Copy Link

Contributed on Feb 16 2023

malloc

0 Answers Avg Quality 2/10

pd drop duplicate columns

Comment

# For dropping duplicate columns:
df = df.loc[:,~df.columns.duplicated()]

Popularity 9/10 Helpfulness 4/10 Language python

Source: Grepper

Tags: drop

Link to this answer
Share Copy Link

Contributed on Nov 29 2022

Benja

0 Answers Avg Quality 2/10

how to drop duplicate columns in pandas that dont have the same name?

Comment

# Drop duplicate columns
df2 = df.T.drop_duplicates().T
print(df2)

Popularity 10/10 Helpfulness 3/10 Language python

Source: sparkbyexamples.com

Tags: drop

Link to this answer
Share Copy Link

Contributed on Jul 15 2022

Jose Santiago Bordas

0 Answers Avg Quality 2/10

dropping duplicates in a dataframe pandas

Comment

dataFrame.drop_duplicates(subset=None, keep='first', inplace=False)

Popularity 8/10 Helpfulness 3/10 Language python

Source: stackabuse.com

Tags: dataframe pandas p

Link to this answer
Share Copy Link

Contributed on Mar 07 2024

Mahmoud Shams El Din

0 Answers Avg Quality 2/10

remove duplicate row in df

Contents

More Related Answers

remove duplicate row in df

Closely Related Answers

Remove duplicates with pandas

delete the entire row while remove duplicates with python'

dataframe delete duplicate rows with same column value

dataframe delete duplicate rows with same column value

pandas drop duplicates from column

pandas drop duplicates

pd drop duplicate columns

how to drop duplicate columns in pandas that dont have the same name?

dropping duplicates in a dataframe pandas

Grepper

Documentation

Social

Legal

Contact

Oops, You will need to install Grepper and log-in to perform this action.