Pandas drop duplicates

Remove duplicate row in df

df = df.drop_duplicates()

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)

Drop duplicate index pandas

df3 = df3[~df3.index.duplicated(keep='first')]

Source: stackoverflow.com

Drop duplicate rows pandas except nan

df[(~df.duplicated()) | (df['col'].isnull())]

Source: stackoverflow.com

Remove duplicate columns python dataframe

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

Source: stackoverflow.com

Pandas drop duplicates

df = df.drop_duplicates(subset = ["b"])

-1

Source: kite.com

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