pandas drop duplicates code example

Example 1: drop duplicate rows pandas except nan

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

Example 2: 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 3: remove duplicate row in df

df = df.drop_duplicates()

Example 4: drop duplicate index pandas

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

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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