Python List
In this article, we'll learn everything about Python lists, how they are created, slicing of a list, adding or removing elements from them and so on.

Python offers a range of compound data types often referred to as sequences. List is one of the most frequently used and very versatile data types used in Python.

How to create a list?
In Python programming, a list is created by placing all the items (elements) inside square brackets [], separated by commas.

It can have any number of items and they may be of different types (integer, float, string etc.).

empty list

my_list = []

list of integers

my_list = [1, 2, 3]

list with mixed data types

my_list = [1, "Hello", 3.4]
A list can also have another list as an item. This is called a nested list.

nested list

my_list = ["mouse", [8, 4, 6], ['a']]
How to access elements from a list?
There are various ways in which we can access the elements of a list.

List Index
We can use the index operator [] to access an item in a list. In Python, indices start at 0. So, a list having 5 elements will have an index from 0 to 4.

Trying to access indexes other than these will raise an IndexError. The index must be an integer. We can't use float or other types, this will result in TypeError.

Nested lists are accessed using nested indexing.

List indexing

my_list = ['p', 'r', 'o', 'b', 'e']

Output: p

print(my_list[0])

Output: o

print(my_list[2])

Output: e

print(my_list[4])

Nested List

n_list = ["Happy", [2, 0, 1, 5]]

Nested indexing

print(n_list[0][1])

print(n_list[1][3])

Error! Only integer can be used for indexing

print(my_list[4.0])
Output

p
o
e
a
5
Traceback (most recent call last):
File "", line 21, in
TypeError: list indices must be integers or slices, not float
Negative indexing
Python allows negative indexing for its sequences. The index of -1 refers to the last item, -2 to the second last item and so on.

Negative indexing in lists

my_list = ['p','r','o','b','e']

print(my_list[-1])

print(my_list[-5])
When we run the above program, we will get the following output:

e
p
Python list indexing
List indexing in Python
How to slice lists in Python?
We can access a range of items in a list by using the slicing operator :(colon).

List slicing in Python

my_list = ['p','r','o','g','r','a','m','i','z']

elements 3rd to 5th

print(my_list[2:5])

elements beginning to 4th

print(my_list[:-5])

elements 6th to end

print(my_list[5:])

elements beginning to end

print(my_list[:])
Output

['o', 'g', 'r']
['p', 'r', 'o', 'g']
['a', 'm', 'i', 'z']
['p', 'r', 'o', 'g', 'r', 'a', 'm', 'i', 'z']
Slicing can be best visualized by considering the index to be between the elements as shown below. So if we want to access a range, we need two indices that will slice that portion from the list.

Element Slicing from a list in Python
Element Slicing from a list in Python
How to change or add elements to a list?
Lists are mutable, meaning their elements can be changed unlike string or tuple.

We can use the assignment operator (=) to change an item or a range of items.

Correcting mistake values in a list

odd = [2, 4, 6, 8]

change the 1st item

odd[0] = 1

print(odd)

change 2nd to 4th items

odd[1:4] = [3, 5, 7]

print(odd)

Output

[1, 4, 6, 8]
[1, 3, 5, 7]

We can add one item to a list using the append() method or add several items using extend() method.

Appending and Extending lists in Python

odd = [1, 3, 5]

odd.append(7)

print(odd)

odd.extend([9, 11, 13])

print(odd)
Output

[1, 3, 5, 7]
[1, 3, 5, 7, 9, 11, 13]
We can also use + operator to combine two lists. This is also called concatenation.

The * operator repeats a list for the given number of times.

Concatenating and repeating lists

odd = [1, 3, 5]

print(odd + [9, 7, 5])

print(["re"] * 3)
Output

[1, 3, 5, 9, 7, 5]
['re', 're', 're']
Furthermore, we can insert one item at a desired location by using the method insert() or insert multiple items by squeezing it into an empty slice of a list.

Demonstration of list insert() method

odd = [1, 9]
odd.insert(1,3)

print(odd)

odd[2:2] = [5, 7]

print(odd)
Output

[1, 3, 9]
[1, 3, 5, 7, 9]
How to delete or remove elements from a list?
We can delete one or more items from a list using the keyword del. It can even delete the list entirely.

Deleting list items

my_list = ['p', 'r', 'o', 'b', 'l', 'e', 'm']

delete one item

del my_list[2]

print(my_list)

delete multiple items

del my_list[1:5]

print(my_list)

delete entire list

del my_list

Error: List not defined

print(my_list)
Output

['p', 'r', 'b', 'l', 'e', 'm']
['p', 'm']
Traceback (most recent call last):
File "", line 18, in
NameError: name 'my_list' is not defined
We can use remove() method to remove the given item or pop() method to remove an item at the given index.

The pop() method removes and returns the last item if the index is not provided. This helps us implement lists as stacks (first in, last out data structure).

We can also use the clear() method to empty a list.

my_list = ['p','r','o','b','l','e','m']
my_list.remove('p')

Output: ['r', 'o', 'b', 'l', 'e', 'm']

print(my_list)

Output: 'o'

print(my_list.pop(1))

Output: ['r', 'b', 'l', 'e', 'm']

print(my_list)

Output: 'm'

print(my_list.pop())

Output: ['r', 'b', 'l', 'e']

print(my_list)

my_list.clear()

Output: []

print(my_list)
Output

['r', 'o', 'b', 'l', 'e', 'm']
o
['r', 'b', 'l', 'e', 'm']
m
['r', 'b', 'l', 'e']
[]
Finally, we can also delete items in a list by assigning an empty list to a slice of elements.

my_list = ['p','r','o','b','l','e','m']
my_list[2:3] = []
my_list
['p', 'r', 'b', 'l', 'e', 'm']
my_list[2:5] = []
my_list
['p', 'r', 'm']
Python List Methods
Methods that are available with list objects in Python programming are tabulated below.

They are accessed as list.method(). Some of the methods have already been used above.

Python List Methods
append() - Add an element to the end of the list
extend() - Add all elements of a list to the another list
insert() - Insert an item at the defined index
remove() - Removes an item from the list
pop() - Removes and returns an element at the given index
clear() - Removes all items from the list
index() - Returns the index of the first matched item
count() - Returns the count of the number of items passed as an argument
sort() - Sort items in a list in ascending order
reverse() - Reverse the order of items in the list
copy() - Returns a shallow copy of the list
Some examples of Python list methods:

Python list methods

my_list = [3, 8, 1, 6, 0, 8, 4]

Output: 1

print(my_list.index(8))

Output: 2

print(my_list.count(8))

my_list.sort()

Output: [0, 1, 3, 4, 6, 8, 8]

print(my_list)

my_list.reverse()

Output: [8, 8, 6, 4, 3, 1, 0]

print(my_list)
Output

1
2
[0, 1, 3, 4, 6, 8, 8]
[8, 8, 6, 4, 3, 1, 0]
List Comprehension: Elegant way to create new List
List comprehension is an elegant and concise way to create a new list from an existing list in Python.

A list comprehension consists of an expression followed by for statement inside square brackets.

Here is an example to make a list with each item being increasing power of 2.

pow2 = [2 ** x for x in range(10)]
print(pow2)
Output

[1, 2, 4, 8, 16, 32, 64, 128, 256, 512]
This code is equivalent to:

pow2 = []
for x in range(10):
pow2.append(2 ** x)
A list comprehension can optionally contain more for or if statements. An optional if statement can filter out items for the new list. Here are some examples.

pow2 = [2 ** x for x in range(10) if x > 5]
pow2
[64, 128, 256, 512]
odd = [x for x in range(20) if x % 2 == 1]
odd
[1, 3, 5, 7, 9, 11, 13, 15, 17, 19]
[x+y for x in ['Python ','C '] for y in ['Language','Programming']]
['Python Language', 'Python Programming', 'C Language', 'C Programming']
Other List Operations in Python
List Membership Test
We can test if an item exists in a list or not, using the keyword in.

my_list = ['p', 'r', 'o', 'b', 'l', 'e', 'm']

Output: True

print('p' in my_list)

Output: False

print('a' in my_list)

Output: True

print('c' not in my_list)
Output

True
False
True
Iterating Through a List
Using a for loop we can iterate through each item in a list.

for fruit in ['apple','banana','mango']:
print("I like",fruit)
Output

I like apple
I like banana
I like mango