Answers for "remove duplicate in column pandas"

python: remove duplicate in a specific column

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

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 row in df

df = df.drop_duplicates()

remove duplicate columns python dataframe

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

pandas merge two dataframes remove duplicates

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