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drop row with duplicate value

Happy Hawk answered on January 4, 2020 Popularity 9/10 Helpfulness 4/10

answer drop row with duplicate value

related dataframe delete duplicate rows with same column value

drop row with duplicate value

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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 4/10 Language python

Source: Grepper

Tags: drop python row

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Contributed on Jan 04 2020

Happy Hawk

0 Answers Avg Quality 2/10

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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 6/10 Language python

Source: Grepper

Tags: dataframe data

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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

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drop row with duplicate value

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drop row with duplicate value

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dataframe delete duplicate rows with same column value

dataframe delete duplicate rows with same column value

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