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The Python append () method appends an element to the end of an existing list. The append () method does not create a new list. Instead, the original list is changed. append () also allows you to add the contents of one list to another list.
Arrays are a Python-built data structure that can be used to organize and store data in a list. Instead of storing similar data in multiple variables, you can store it in a list. Lists can contain any type of data, such as strings and numbers.
The append () method allows you to add items to an existing list. This means that you don’t need to create a new list every time you want to update the contents of the list. In this guide, we’ll see how to use the append () method.
Update Python List
Lists Python can store zero or more elements of a data type specific, such as strings, JSON objects, or numbers. For example, you can use a list to store a list of names or addresses. The lists are editable. This means that you can edit its content.
To create a new list in Python, you must separate a list of values ‚Äã‚Äãwith commas and enclose them in brackets  . Let’s create a list in Python, using this code:
When we print our list for the console , we can see the list we defined:
Each item in our list has an index number, which can be used to refer to a single item in the list. These index numbers start with the value and increase for each item in a list. For our toy_animals list above, the index numbers are assigned like this:
| "Shark" || "Dragon" || "Bear" || "Cat" || "Giraffe" |
| || 1 || 2 || 3 || 4 |
The first item in our list Shark has the value 0. The last element Giraffe has the value 4. We can use these index numbers to access and manipulate our list. So if we want access the element with index number 1, we can use the following code:
The Lists are editable, which means you can add and remove items from a list. Now that we’ve explored the basics of lists and indexing lists in Python, we can start using the
append () and
insert () methods.
Python Append to List using Append ()
The Python append () list method adds an item to the end of a list.
The append () method accepts items that you want to add to a list as a subject. The list item can contain strings, dictionaries, or any other type of data.
Let’s start adding items to the list of toy animals we started building earlier. Our list contains five items, with index values ‚Äã‚Äãbetween and 4.
Suppose we have a new toy animal, the Meerkat, that we want to add to our list. We could use the append () method to add the animal to our list like this:
We added only one item to our list. Our list now contains six items. Finally, Suricate appears. It should be noted that the append () function modified our original list. No new list has been created.
Add a Python list to another list
You can append the contents of an existing list to another list using the Python list append () method.
We would like to add three new toy animals to our list: Rabbit, Dolphin and Kangaroo . Instead of adding each animal individually, we can add them to a new list. Then we can add the new list to the old one.
Consider the following code:
We have defined a new list called new_animals. This list contains the three animals that we want to add to our original list.
We pass the new_animals list as an argument to the append () method. This allows us to add the contents of new_animals to our list of toy_animals. Next, we print the contents of the toy_animals list to the console.
Come on & rsquo ; s let’s run our code and see what happens:
The three animals are added at the end of our list. Remember, append () appends items to the end of a list. It is not possible to specify the position where an element is added.
View the Repl.it of this tutorial:
The Python list append () method allows you to add an element at the end of a list. You can specify a single item to add a value to a list. You can specify a list of items to add multiple values ‚Äã‚Äãto a list. In other words, you can add one or more items to a list using append ().
You now have the knowledge to add items to a list as Python Expert .