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python pandas remove duplicates and make that change to same dataframe

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Sutariya Vikas answered on May 28, 2020 Popularity 9/10 Helpfulness 4/10

answer python pandas remove duplicates and make that change to same dataframe

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python pandas remove duplicates and make that change to same dataframe

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# 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 pandas python

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Contributed on Sep 03 2022

Sutariya Vikas

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

0 Answers Avg Quality 2/10

python: remove duplicate in a specific column

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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 duplicates based on two columns in dataframe

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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

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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 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 duplicates in dataframe by index python

Comment

# 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"])

Popularity 10/10 Helpfulness 5/10 Language python

Source: stackoverflow.com

Tags: dataframe data

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Contributed on Sep 18 2022

JJSSEEXX

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

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Contributed on Dec 17 2021

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

pandas merge two dataframes remove duplicates

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concat = pd.merge(data_1, data_2, how='inner')

Popularity 10/10 Helpfulness 4/10 Language python

Source: stackoverflow.com

Tags: merge merg

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Contributed on Oct 27 2021

Talal Siddiqui

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

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Contributed on Jul 15 2022

Jose Santiago Bordas

0 Answers Avg Quality 2/10

python pandas remove duplicates and make that change to same dataframe

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python pandas remove duplicates and make that change to same dataframe

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