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pandas drop duplicates from column

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Clean Chimpanzee answered on May 28, 2020 Popularity 10/10 Helpfulness 5/10

answer pandas drop duplicates from column

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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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Source: duckduckgo.com

Tags: pandas python

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Contributed on May 15 2022

Clean Chimpanzee

0 Answers Avg Quality 2/10

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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)

Popularity 10/10 Helpfulness 10/10 Language python

Source: www.datacamp.com

Tags: pandas pa

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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')

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 duplicate columns python dataframe

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

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Source: stackoverflow.com

Tags: dataframe data

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Contributed on May 28 2020

Happy Hawk

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pandas drop duplicates

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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 pand

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Contributed on Feb 16 2023

malloc

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pd drop duplicate columns

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

Popularity 9/10 Helpfulness 4/10 Language python

Source: Grepper

Tags: drop

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Contributed on Nov 29 2022

Benja

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

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

Popularity 10/10 Helpfulness 3/10 Language python

Source: sparkbyexamples.com

Tags: drop

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Contributed on Jul 15 2022

Jose Santiago Bordas

0 Answers Avg Quality 2/10

drop duplicates data frame pandas python

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

Popularity 10/10 Helpfulness 3/10 Language python

Source: stackoverflow.com

Tags: frame fram

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Contributed on Jul 26 2022

Athul Mathew

0 Answers Avg Quality 2/10

delete duplicate values pandas

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

Popularity 9/10 Helpfulness 3/10 Language whatever

Source: openclassrooms.com

Tags: pandas pa

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Contributed on Feb 11 2023

Brave Bat

0 Answers Avg Quality 2/10

dropping duplicates in a dataframe pandas

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

Popularity 8/10 Helpfulness 3/10 Language python

Source: stackabuse.com

Tags: dataframe pandas pand

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Contributed on Mar 07 2024

Mahmoud Shams El Din

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pandas drop duplicates from column

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