delete duplicate values pandas

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Brave Bat answered on August 19, 2020 Popularity 9/10 Helpfulness 3/10

answer delete duplicate values pandas

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delete duplicate values pandas

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data.loc[data['email'].duplicated(keep=False),:]

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Contributed on Feb 11 2023

Brave Bat

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Remove duplicates with pandas

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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)

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Contributed on Apr 29 2022

Elisabeth Engering

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remove duplicate row in df

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# 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')

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Source: Grepper

Tags: python py

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Contributed on Aug 19 2020

Sachin

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delete the entire row while remove duplicates with python'

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

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Source: stackoverflow.com

Tags: python py

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Contributed on Mar 04 2022

Doubtful Dugong

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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)

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Source: Grepper

Tags: dataframe data

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Contributed on Dec 17 2021

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remove duplicates in dataframe by index python

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# Remove by index
df = df[df.index.duplicated(keep='first')]

# Other methods to remove duplicates
import pandas as pd

df = df.drop_duplicates()

df = df.drop_duplicates(subset = "column")

df = df.drop_duplicates(subset = ["column", "column2"])

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Source: stackoverflow.com

Tags: dataframe data

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Contributed on Sep 18 2022

JJSSEEXX

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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)

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Source: Grepper

Tags: dataframe data

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Contributed on Dec 17 2021

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pandas drop duplicates from column

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

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Contributed on May 15 2022

Clean Chimpanzee

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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')

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Contributed on Feb 16 2023

malloc

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remove duplicates index pandas

Comment

df3 = df3[~df3.index.duplicated(keep='first')]

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Source: stackoverflow.com

Tags: pandas pa

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Contributed on Mar 30 2023

Doubtful Dormouse

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dropping duplicates in a dataframe pandas

Comment

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

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Source: stackabuse.com

Tags: dataframe pandas pa

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Contributed on Mar 07 2024

Mahmoud Shams El Din

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delete duplicate values pandas

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delete duplicate values pandas

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Remove duplicates with pandas

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delete the entire row while remove duplicates with python'

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remove duplicates in dataframe by index python

dataframe delete duplicate rows with same column value

pandas drop duplicates from column

pandas drop duplicates

remove duplicates index pandas

dropping duplicates in a dataframe pandas

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