# Python Remove Duplicates from List

Python remove duplicates from list | We will discuss how to remove duplicate items or elements from the list. In Python, there are many methods available on the list data type that help you remove elements from a given list. In this post, we are using native methods, list comprehension, list set(), enumerate(), OrderedDict.fromkeys(), NumPy function.

## Remove Duplicates in List in Python

We will take the list while declaring the variables then, removes duplicates element from the list using the For Loop, if-else statement, and append() function. Finally, the new list will be displayed on the screen.

``````# Python program to remove duplicates from list

# take list
my_list = [1, 2, 3, 1, 5, 3, 4, 2, 7]

# printing original list
print('List:', my_list)

# removed duplicates item using native method
new_list = []
for i in my_list:
if i not in new_list:
new_list.append(i)

# print list after item deletion
print('New list:', new_list)``````

Output:-

List: [1, 2, 3, 1, 4, 3, 5, 2, 7]
New list: [1, 2, 3, 4, 5, 7]

## Using List Comprehension

This method is similar to the above method, but rather a shorthand method. In this program, we use the list comprehension technique. This is just a one-liner shorthand of the longer method.

``````# Python program to remove duplicates from list

# take list
my_list = [1, 2, 3, 1, 4, 3, 5, 2, 7]

# printing original list
print('List:', my_list)

# removed duplicates item using list comprehension
new_list = []
[new_list.append(x) for x in my_list if x not in new_list]

# print list after item deletion
print('New list:', new_list)``````

Output:-

List: [1, 2, 3, 1, 4, 3, 5, 2, 7]
New list: [1, 2, 3, 4, 5, 7]

## Using list comprehension + enumerate() Function

Enumerate returns an object with a counter to each element in the list. For example (5,1), (1,3) etc. Here the first value is the index, and the second value is the list item.

``````# Python program to remove duplicates from list

# take list
my_list = [1, 2, 3, 1, 4, 3, 5, 2, 7]

# printing original list
print('List:', my_list)

# removed duplicates using list comprehension + enumerate()
new_list = [i for n, i in enumerate(my_list) if i not in my_list[:n]]

# print list after item deletion
print('New list:', new_list)``````

Output:-

List: [1, 2, 3, 1, 4, 3, 5, 2, 7]
New list: [1, 2, 3, 4, 5, 7]

## Using set() Function

The common approach to get a unique collection of items is to use a set. Sets are unordered collections of distinct objects. To create a set from any iterable, you can simply pass it to the built-in set() function. If you later need a real list again, you can similarly pass the set to the list() function.

``````# Python program to remove duplicates from list

# take list
my_list = [1, 2, 3, 1, 5, 3, 4, 2, 7]

# printing original list
print('List:', my_list)

# removed duplicates item using list set()
new_list = list(set(my_list))

# print list after item deletion
print('New list:', new_list)``````

Output:-

List: [1, 2, 3, 1, 4, 3, 5, 2, 7]
New list: [1, 2, 3, 4, 5, 7]

### Using collections.OrderedDict.fromkeys()

This is the fastest method to achieve a particular task. This method is available from python2.7 onwards. It first removes the duplicates and returns a dictionary which has to be converted to a list. To make use of the OrderedDict.fromkey() method, you have to import OrderedDict from collections.

``````# Python program to remove duplicates from list
from collections import OrderedDict

# take list
my_list = [1, 2, 3, 1, 4, 3, 5, 2, 7]

# printing original list
print('List:', my_list)

# removed duplicates using collections.OrderedDict.fromkeys()
new_list = list(OrderedDict.fromkeys(my_list))

# print list after item deletion
print('New list:', new_list)``````

Output:-

List: [1, 2, 3, 1, 4, 3, 5, 2, 7]
New list: [1, 2, 3, 4, 5, 7]

## Using NumPy Method

The unique() method can help us remove duplicate elements from the given list. The output is converted back to a list format using tolist() method.

``````# Python program to remove duplicates from list
import numpy as np

# take list
my_list = [1, 2, 3, 1, 4, 3, 5, 2, 7]

# printing original list
print('List:', my_list)

# removed duplicates using numpy
new_list = np.unique(my_list).tolist()

# print list after item deletion
print('New list:', new_list)``````

Output:-

List: [1, 2, 3, 1, 4, 3, 5, 2, 7]
New list: [1, 2, 3, 4, 5, 7]

Also See:- Delete all Elements in List Python

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