remove duplicate columns in pandas code example

Example 1: python - remove repeted columns in a df

df.loc[:,~df.T.duplicated(keep='first')]

Example 2: remove duplicates based on two columns in dataframe

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

Example 3: 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)

Example 4: remove duplicate row in df

df = df.drop_duplicates()

Example 5: remove duplicate columns python dataframe

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

Example 6: df remove duplicate rows

df = df.drop_duplicates()
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