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

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Jose Santiago Bordas answered on May 28, 2020 Popularity 10/10 Helpfulness 4/10

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

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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 4/10 Language python

Source: sparkbyexamples.com

Tags: drop pandas python

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Contributed on Jul 15 2022

Jose Santiago Bordas

0 Answers Avg Quality 2/10

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Remove duplicates with pandas

Comment

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

drop duplicates pandas first column

Comment

import pandas as pd 
  
# making data frame from csv file 
data = pd.read_csv("employees.csv") 
  
# sorting by first name 
data.sort_values("First Name", inplace = True) 
  
# dropping ALL duplicte values 
data.drop_duplicates(subset ="First Name",keep = False, inplace = True) 
  
# displaying data 
print(data)

Popularity 10/10 Helpfulness 8/10 Language python

Source: Grepper

Tags: pandas pa

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Contributed on Jun 28 2020

Sachin

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

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

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

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

pd drop duplicate columns

Comment

# 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

0 Answers Avg Quality 2/10

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

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

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Remove duplicates with pandas

drop duplicates pandas first column

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dataframe delete duplicate rows with same column value

pandas drop duplicates from column

dataframe delete duplicate rows with same column value

remove duplicate columns python dataframe

python pandas remove duplicates and make that change to same dataframe

pd drop duplicate columns

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