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dataframe delete duplicate rows with same column value

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answered on January 4, 2020 Popularity 10/10 Helpfulness 5/10

answer dataframe delete duplicate rows with same column value

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dataframe delete duplicate rows with same column value

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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 python rows

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Contributed on Dec 17 2021

0 Answers Avg Quality 2/10

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python: remove duplicate in a specific column

Comment

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

Popularity 10/10 Helpfulness 10/10 Language python

Source: stackoverflow.com

Tags: python py

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Contributed on Jul 22 2020

Andrea Perlato

0 Answers Avg Quality 2/10

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 py

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Contributed on Aug 19 2020

Sachin

0 Answers Avg Quality 2/10

remove duplicates based on two columns in dataframe

Comment

df.drop_duplicates(['A','B'],keep= 'last')

Popularity 10/10 Helpfulness 7/10 Language python

Source: Grepper

Tags: dataframe data

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Contributed on Aug 13 2020

Sachin

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

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Contributed on Dec 17 2021

0 Answers Avg Quality 2/10

remove duplicate values in data frame r

Comment

df <- df %>% distinct()

Popularity 10/10 Helpfulness 5/10 Language whatever

Source: Grepper

Tags: frame fram

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Contributed on Feb 27 2021

adriendums

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

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Contributed on May 15 2022

Clean Chimpanzee

0 Answers Avg Quality 2/10

remove duplicate columns python dataframe

Comment

df = df.loc[:,~df.columns.duplicated()]

Popularity 10/10 Helpfulness 5/10 Language python

Source: stackoverflow.com

Tags: dataframe data

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Contributed on May 28 2020

Happy Hawk

0 Answers Avg Quality 2/10

python pandas remove duplicates and make that change to same dataframe

Comment

# If same dataset needs to be updated:

df.drop_duplicates(keep=False, inplace=True)

Popularity 9/10 Helpfulness 4/10 Language python

Source: stackoverflow.com

Tags: dataframe data

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Contributed on Sep 03 2022

Sutariya Vikas

0 Answers Avg Quality 2/10

drop row with duplicate value

Comment

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 9/10 Helpfulness 3/10 Language python

Source: Grepper

Tags: drop

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Contributed on Jan 04 2020

Happy Hawk

0 Answers Avg Quality 2/10

dataframe delete duplicate rows with same column value

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dataframe delete duplicate rows with same column value

Closely Related Answers

python: remove duplicate in a specific column

remove duplicate row in df

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dataframe delete duplicate rows with same column value

remove duplicate values in data frame r

pandas drop duplicates from column

remove duplicate columns python dataframe

python pandas remove duplicates and make that change to same dataframe

drop row with duplicate value

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