Answered by : elisabeth-engering

import pandas as pd
# Drop all duplicates in the DataFrame
df = df.drop_duplicates()
# Drop all duplicates in a specific column of the DataFrame
df = df.drop_duplicates(subset = "column")
# Drop all duplicate pairs in DataFrame
df = df.drop_duplicates(subset = ["column", "column2"])
# Display DataFrame
print(df)

Source : https://www.datacamp.com/cheat-sheet/pandas-cheat-sheet-for-data-science-in-python | Last Update : Fri, 06 May 22

Answered by : sachin-verma

df = df.drop_duplicates()

Source : | Last Update : Wed, 26 Aug 20

Answered by : elegant-elk-kkjot6kezgo6

 mylist = ["a", "b", "a", "c", "c"]
mylist = list(dict.fromkeys(mylist)) print(mylist) 

Source : https://w3schoolsrus.github.io/python/python_howto_remove_duplicates.html | Last Update : Tue, 26 May 20

Answered by : important-iguana-6wja7q737vj4

mylist = ["a", "b", "a", "c", "c"]
mylist = list(dict.fromkeys(mylist))

Source : | Last Update : Tue, 02 Jun 20

Answered by : relieved-ray-zvzyub5t79jj

word = input().split()
for i in word: if word.count(i) > 1: word.remove(i)

Source : | Last Update : Tue, 11 Feb 20

Answered by : jinn-world

list_1 = [1, 2, 1, 4, 6]
list_2 = [7, 8, 2, 1]
print(list(set(list_1) ^ set(list_2)))

Source : https://www.programiz.com/python-programming/examples/remove-duplicate-from-list | Last Update : Tue, 02 Aug 22

Answered by : lazy-lark-jenyffc7wa94

df.drop_duplicates()

Source : | Last Update : Mon, 30 May 22