/Python/Dataframe delete duplicate rows with same column value

Dataframe delete duplicate rows with same column value

Python: remove duplicate in a specific column

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

Source: stackoverflow.com

Drop duplicates pandas first column

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)

Remove duplicates based on two columns in dataframe

df.drop_duplicates(['A','B'],keep= 'last')

Remove duplicate columns python dataframe

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

Source: stackoverflow.com

Dataframe delete duplicate rows with same column value

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)

Dataframe delete duplicate rows with same column value

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)

Similar codes

0 vote206 views1 answer
Pandas print a single row
Python
3 votes209 views1 answer
Djnagi import model form
Python
12 votes189 views4 answers
Python join dict
Python
0 vote202 views3 answers
Dataframe to dictionary using index as key
Python
1 vote168 views2 answers
Alpaca api python wrapper
Python
0 vote200 views1 answer
How to view the complete data frame in pandas
Python
1 vote232 views1 answer
How to add two different times in python
Python
0 vote197 views1 answer
Comment a lot of lines python vscode
Python
5 votes203 views1 answer
Python start simplehttpserver
Python
0 vote202 views1 answer
Pandas plot use index as x
Python