• 90% Refund @Courses
  • Free Python 3 Tutorial
  • Control Flow
  • Exception Handling
  • Python Programs
  • Python Projects
  • Python Interview Questions
  • Python Database
  • Data Science With Python
  • Machine Learning with Python

Related Articles

  • Solve Coding Problems
  • Python Program to replace elements of a list based on the comparison with a number
  • Python | i^k Summation in list
  • Python - Convert Records List to Segregated Dictionary
  • Python - Value list lengths
  • Python | Product of Prefix in list
  • Python | Valid Ranges Product
  • Python - Row with Maximum Product
  • Python | Exponentiation by K in list
  • Python | Sliced Product in List
  • Python | Find elements of a list by indices
  • Python | Count unmatched elements
  • Python | Alternate front - rear Sum
  • Python - Pair with Maximum product
  • Python - Match Kth number digit in list elements
  • Python | Split flatten String List
  • Python - Split list into all possible tuple pairs
  • Python program to extract rows from Matrix that has distinct data types
  • Python - Extract Preceding Record from list values
  • Python | Remove False row from matrix

Python | Assign multiple variables with list values

We generally come through the task of getting certain index values and assigning variables out of them. The general approach we follow is to extract each list element by its index and then assign it to variables. This approach requires more line of code. Let’s discuss certain ways to do this task in compact manner to improve readability. 

Method #1 : Using list comprehension By using list comprehension one can achieve this task with ease and in one line. We run a loop for specific indices in RHS and assign them to the required variables. 

Time Complexity: O(n), where n is the length of the input list. This is because we’re using list comprehension which has a time complexity of O(n) in the worst case. Auxiliary Space: O(1), as we’re using additional space res other than the input list itself with the same size of input list.

  Method #2 : Using itemgetter() itemgetter function can also be used to perform this particular task. This function accepts the index values and the container it is working on and assigns to the variables.   

  Method #3 : Using itertools.compress() compress function accepts boolean values corresponding to each index as True if it has to be assigned to the variable and False it is not to be used in the variable assignment. 

Method #4:  Using dictionary unpacking

using dictionary unpacking. We can create a dictionary with keys corresponding to the variables and values corresponding to the indices we want, and then unpack the dictionary using dictionary unpacking.

1. Create a list with the given values. 2. Create a dictionary with keys corresponding to the variables and values corresponding to the indices we want. 3. Unpack the dictionary using dictionary unpacking.

Time Complexity: O(1) Space Complexity: O(k), where k is the number of variables

Don't miss your chance to ride the wave of the data revolution! Every industry is scaling new heights by tapping into the power of data. Sharpen your skills and become a part of the hottest trend in the 21st century.

Dive into the future of technology - explore the Complete Machine Learning and Data Science Program by GeeksforGeeks and stay ahead of the curve.

Please Login to comment...

author

  • Python list-programs
  • sagartomar9927
  • charanvamsi25

Improve your Coding Skills with Practice

 alt=

What kind of Experience do you want to share?

Multiple assignment in Python: Assign multiple values or the same value to multiple variables

In Python, the = operator is used to assign values to variables.

You can assign values to multiple variables in one line.

Assign multiple values to multiple variables

Assign the same value to multiple variables.

You can assign multiple values to multiple variables by separating them with commas , .

You can assign values to more than three variables, and it is also possible to assign values of different data types to those variables.

When only one variable is on the left side, values on the right side are assigned as a tuple to that variable.

If the number of variables on the left does not match the number of values on the right, a ValueError occurs. You can assign the remaining values as a list by prefixing the variable name with * .

For more information on using * and assigning elements of a tuple and list to multiple variables, see the following article.

  • Unpack a tuple and list in Python

You can also swap the values of multiple variables in the same way. See the following article for details:

  • Swap values ​​in a list or values of variables in Python

You can assign the same value to multiple variables by using = consecutively.

For example, this is useful when initializing multiple variables with the same value.

After assigning the same value, you can assign a different value to one of these variables. As described later, be cautious when assigning mutable objects such as list and dict .

You can apply the same method when assigning the same value to three or more variables.

Be careful when assigning mutable objects such as list and dict .

If you use = consecutively, the same object is assigned to all variables. Therefore, if you change the value of an element or add a new element in one variable, the changes will be reflected in the others as well.

If you want to handle mutable objects separately, you need to assign them individually.

after c = []; d = [] , c and d are guaranteed to refer to two different, unique, newly created empty lists. (Note that c = d = [] assigns the same object to both c and d .) 3. Data model — Python 3.11.3 documentation

You can also use copy() or deepcopy() from the copy module to make shallow and deep copies. See the following article.

  • Shallow and deep copy in Python: copy(), deepcopy()

Related Categories

Related articles.

  • Reverse a list, string, tuple in Python (reverse, reversed)
  • A tuple with one element requires a comma in Python
  • Take input from user with input() in Python
  • Try, except, else, finally in Python (Exception handling)
  • Invert image with Python, Pillow (Negative-positive inversion)
  • Check and add the module search path with sys.path in Python
  • Convert a list of strings and a list of numbers to each other in Python
  • Split a string in Python (delimiter, line break, regex, and more)
  • numpy.where(): Manipulate elements depending on conditions
  • Convert binary, octal, decimal, and hexadecimal in Python
  • NumPy: Trigonometric functions (sin, cos, tan, arcsin, arccos, arctan)
  • The assert statement in Python
  • Fractions (rational numbers) in Python
  • pandas: Select rows by multiple conditions

Python Tutorial

File handling, python modules, python numpy, python pandas, python matplotlib, python scipy, machine learning, python mysql, python mongodb, python reference, module reference, python how to, python examples, python variables - assign multiple values, many values to multiple variables.

Python allows you to assign values to multiple variables in one line:

Note: Make sure the number of variables matches the number of values, or else you will get an error.

One Value to Multiple Variables

And you can assign the same value to multiple variables in one line:

Unpack a Collection

If you have a collection of values in a list, tuple etc. Python allows you to extract the values into variables. This is called unpacking .

Unpack a list:

Learn more about unpacking in our Unpack Tuples Chapter.

Get Certified

COLOR PICKER

colorpicker

Report Error

If you want to report an error, or if you want to make a suggestion, do not hesitate to send us an e-mail:

[email protected]

Top Tutorials

Top references, top examples, get certified.

  • Trending Categories

Data Structure

  • Selected Reading
  • UPSC IAS Exams Notes
  • Developer's Best Practices
  • Questions and Answers
  • Effective Resume Writing
  • HR Interview Questions
  • Computer Glossary

Assign multiple variables with a Python list values

Depending on the need of the program we may an requirement of assigning the values in a list to many variables at once. So that they can be further used for calculations in the rest of the part of the program. In this article we will explore various approaches to achieve this.

Using for in

The for loop can help us iterate through the elements of the given list while assigning them to the variables declared in a given sequence.We have to mention the index position of values which will get assigned to the variables.

 Live Demo

Running the above code gives us the following result −

With itemgetter

The itergetter function from the operator module will fetch the item for specified indexes. We directly assign them to the variables.

With itertools.compress

The compress function from itertools module will catch the elements by using the Boolean values for index positions. So for index position 0,2 and 3 we mention the value 1 in the compress function and then assign the fetched value to the variables.

Pradeep Elance

Related Articles

  • How do we assign values to variables in a list using a loop in Python?
  • How to assign values to variables in Python
  • How do we assign values to variables in Python?
  • How to assign multiple values to a same variable in Python?
  • Assign multiple variables to the same value in JavaScript?
  • How to assign values to variables in C#?
  • New ways to Assign values to Variables in C++ 17 ?
  • How to assign same value to multiple variables in single statement in C#?
  • How do we assign a value to several variables simultaneously in Python?
  • How to assign multiple values to same variable in C#?\n
  • Assign ids to each unique value in a Python list
  • Assign range of elements to List in Python
  • Python - Create a dictionary using list with none values
  • What do you mean MySQL user variables and how can we assign values to\nthem?
  • How to check multiple variables against a value in Python?

Kickstart Your Career

Get certified by completing the course

Python Many Values to Multiple Variables

Answered on: Sunday 30 July, 2023 / Duration: 20 min read

Programming Language: Python , Popularity : 7/10

Python Programming on www.codeease.net

Solution 1:

In Python, you can assign multiple values to multiple variables in a single line of code. This is often referred to as "unpacking" or "multiple assignment." The number of variables on the left side of the assignment operator ( = ) should match the number of values on the right side, which can be a tuple, list, or any other iterable.

Here's an example of how to use multiple assignment in Python:

Multiple assignment is a convenient feature in Python that allows you to assign values to multiple variables in a concise and readable manner. It is particularly useful when dealing with functions that return multiple values, iterating over collections, or handling various data structures.

Solution 2:

In Python, it is possible to assign multiple values to multiple variables in a single line using the concept of tuple assignment. This is also known as "packing" or "unpacking".

In this example, we have assigned three values (1, 2, and 3) to three variables (a, b, and c) in a single line. The comma separates the values and the equals sign assigns them to the corresponding variables.

This way, we can assign a single value to two or more variables.

It's important to note that when assigning multiple values to multiple variables, the number of values must match the number of variables. Also, it's not possible to assign less values than the number of variables, if so, it will raise a SyntaxError.

It's also worth mentioning that this feature of Python is called "tuple packing" and it's a concise way of assigning multiple values to multiple variables in one step. It makes the code more readable and easier to write.

Please let me know if there is anything else I can assist you with.

Solution 3:

In Python, you can assign multiple variables at once. This is often called "unpacking" and it works with any iterable object. This feature allows values to be unpacked directly into variables in a way that is often more convenient, readable, and efficient than accessing them through indices or calling next() on an iterator.

Here is a simple example:

In this example, we have a list values with three values. We can assign these values to three variables ( name , age , and major ) in a single line. The first value in the list (which is "Alice") is assigned to the first variable ( name ), the second value is assigned to the second variable, and so on.

Note that the number of variables must match the number of values, or else Python will raise a ValueError . This is true for other iterables as well:

Python also provides a method to assign the same value to several variables at once:

In this case, the integer 0 is assigned to all three variables ( x , y , and z ).

More Articles :

Python beautifulsoup requests.

Answered on: Sunday 30 July, 2023 / Duration: 5-10 min read

Programming Language : Python , Popularity : 9/10

pandas add days to date

Programming Language : Python , Popularity : 4/10

get index in foreach py

Programming Language : Python , Popularity : 10/10

pandas see all columns

Programming Language : Python , Popularity : 7/10

column to list pyspark

How to save python list to file.

Programming Language : Python , Popularity : 6/10

tqdm pandas apply in notebook

Name 'cross_val_score' is not defined, drop last row pandas, tkinter python may not be configured for tk.

Programming Language : Python , Popularity : 8/10

translate sentences in python

Python get file size in mb, how to talk to girls, typeerror: argument of type 'windowspath' is not iterable, django model naming convention, split string into array every n characters python, print pandas version, python randomly shuffle rows of pandas dataframe, display maximum columns pandas.

Home » Python For Beginners Tutorial

  • Python Variables - Assign Multiple Values

In this tutorial, You will learn about assigning multiple values of Python variables.

Python uses the = sign to assign values to variables. 

For example -:

Python allows you to assign multiple values to multiple variables at the same time using commas. And also, Python allows assigning the same value to multiple variables at the same time. This will save a lot of time for us when assigning a large number of variables.

Assign Multiple Variables with Multiple Values

Python allows you to assign multiple values to multiple variables in one line by separating variables and values with commas.

It is also possible to assign different data types.

For example -:

When you use one variable on the left side with multiple values, these values are assigned as a tuple.

This program produces the following result -:

When the number of variables on the left does not match with the number of values on the right, the ValueError will occur.

However, you can assign the rest values as a list by appending * before to the variable name.

Assign Multiple Variables with Single Value

Python allows you to assign the same values to multiple variables in one line by using the = operator consecutively.

You should be careful, when assigning mutable objects like dict or list instead of immutable objects like str , int , or float . Because, When you add a new value or change the existing value of one variable, other variable values will also change.

For example  -:

Unpack a Collection

If your program has a values collection such as list, tuple, etc. You can extract values into variables using Python.

  • To assign values to variables, The = sign is used in Python programming.
  • Python allows assigning multiple values to multiple variables.
  • Python allows assigning the same value to multiple variables.
  • Python allows extracting values collection (list, tuple, etc.) values into variables.

You found this tutorial / article valuable? Need to show your appreciation? Here are some options:

01. Spread the word! Use following buttons to share this tutorial / article link on your favorite social media sites.

02. Follow us on Twitter , GitHub ,and Facebook .

Related Tutorials :

  • How to Install Python 3 on Your Computer
  • Python Syntax
  • Python Comments
  • Python Data Types
  • Python Variables
  • Python Variable Naming
  • Python Numbers
  • Python Type Casting
  • Python Strings
  • Python Strings Slicing
  • Python Modify Strings
  • Python Boolean

Tutorials Category

  • Python For Beginners Tutorial
  • Python Tkinter GUI Programming Tutorial
  • Python Kivy GUI Programming Tutorial
  • wxPython GUI Programming Tutorial
  • PyQT5 GUI Programming Tutorial
  • Python PyGame Programming Tutorial
  • Python Mini Project Examples
  • UX/UI Design Tutorial
  • Python Code Examples for Beginners
  • Python Built-in Functions

Latust Tutorial

  • Textinput Widget in Python Kivy
  • How to check whether a variable is an integer or not in Python
  • Python abs() Function
  • wxPython Frame Class
  • wxPython Main Classes
  • GUI Builder Tools for wxPython

python assign list values to multiple variables

Get the latest news and updates

  • Python Tutorials
  • Electronics
  • Terms and Conditions

Copyright © UXPython inc. All rights reserved.

Devoloped by UXPython .

Cookie Policy

We use cookies to operate this website, improve usability, personalize your experience, and improve our marketing. Privacy Policy .

By clicking "Accept" or further use of this website, you agree to allow cookies.

  • Data Science
  • Data Analytics
  • Machine Learning

alfie-grace-headshot-square2.jpg

Python List Comprehension: single, multiple, nested, & more

The general syntax for list comprehension in Python is:

Quick Example

We've got a list of numbers called num_list , as follows:

Using list comprehension , we'd like to append any values greater than ten to a new list. We can do this as follows:

This solution essentially follows the same process as using a for loop to do the job, but using list comprehension can often be a neater and more efficient technique. The example below shows how we could create our new list using a for loop.

Using list comprehension instead of a for loop, we've managed to pack four lines of code into one clean statement.

In this article, we'll first look at the different ways to use list comprehensions to generate new lists. Then we'll see what the benefits of using list comprehensions are. Finally, we'll see how we can tackle multiple list comprehensions .

How list comprehension works

A list comprehension works by translating values from one list into another by placing a for statement inside a pair of brackets, formally called a generator expression .

A generator is an iterable object, which yields a range of values. Let's consider the following example, where for num in num_list is our generator and num is the yield.

In this case, Python has iterated through each item in num_list , temporarily storing the values inside of the num variable. We haven't added any conditions to the list comprehension, so all values are stored in the new list.

Conditional statements in list comprehensions

Let's try adding in an if statement so that the comprehension only adds numbers greater than four:

The image below represents the process followed in the above list comprehension:

python assign list values to multiple variables

We could even add in another condition to omit numbers smaller than eight. Here, we can use and inside of a list comprehension:

But we could also write this without and as:

When using conditionals, Python checks whether our if statement returns True or False for each yield. When the if statement returns True , the yield is appended to the new list.

Adding functionality to list comprehensions

List comprehensions aren't just limited to filtering out unwanted list values, but we can also use them to apply functionality to the appended values. For example, let's say we'd like to create a list that contains squared values from the original list:

We can also combine any added functionality with comparison operators. We've got a lot of use out of num_list , so let's switch it up and start using a different list for our examples:

In the above example, our list comprehension has squared any values in alternative_list that fall between thirty and fifty. To help demonstrate what's happening above, see the diagram below:

python assign list values to multiple variables

Using comparison operators

List comprehension also works with or , in and not .

Like in the example above using and , we can also use or :

Using in , we can check other lists as well:

Likewise, not in is also possible:

Lastly, we can use if statements before generator expressions within a list comprehension. By doing this, we can tell Python how to treat different values:

The example above stores values in our new list if they are greater than forty; this is covered by num if num > 40 . Python stores zero in their place for values that aren't greater than forty, as instructed by else 0 . See the image below for a visual representation of what's happening:

python assign list values to multiple variables

Multiple List Comprehension

Naturally, you may want to use a list comprehension with two lists at the same time. The following examples demonstrate different use cases for multiple list comprehension.

Flattening lists

The following synax is the most common version of multiple list comprehension, which we'll use to flatten a list of lists:

The order of the loops in this style of list comprehension is somewhat counter-intuitive and difficult to remember, so be prepared to look it up again in the future! Regardless, the syntax for flattening lists is helpful for other problems that would require checking two lists for values.

Nested lists

We can use multiple list comprehension when nested lists are involved. Let's say we've got a list of lists populated with string-type values. If we'd like to convert these values from string-type to integer-type, we could do this using multiple list comprehensions as follows:

Readability

The problem with using multiple list comprehensions is that they can be hard to read, making life more difficult for other developers and yourself in the future. To demonstrate this, here's how the first solution looks when combining a list comprehension with a for loop:

Our hybrid solution isn't as sleek to look at, but it's also easier to pick apart and figure out what's happening behind the scenes. There's no limit on how deep multiple list comprehensions can go. If list_of_lists had more lists nested within its nested lists, we could do our integer conversion as follows:

As the example shows, our multiple list comprehensions have now become very difficult to read. It's generally agreed that multiple list comprehensions shouldn't go any deeper than two levels ; otherwise, it could heavily sacrifice readability. To prove the point, here's how we could use for loops instead to solve the problem above:

Speed Test: List Comprehension vs. for loop

When working with lists in Python, you'll likely often find yourself in situations where you'll need to translate values from one list to another based on specific criteria.

Generally, if you're working with small datasets, then using for loops instead of list comprehensions isn't the end of the world. However, as the sizes of your datasets start to increase, you'll notice that working through lists one item at a time can take a long time.

Let's generate a list of ten thousand random numbers, ranging in value from one to a million, and store this as num_list . We can then use a for loop and a list comprehension to generate a new list containing the num_list values greater than half a million. Finally, using %timeit , we can compare the speed of the two approaches:

The list comprehension solution runs twice as fast, so not only does it use less code, but it's also much quicker. With that in mind, it's also worth noting that for loops can be much more readable in certain situations, such as when using multiple list comprehensions.

Ultimately, if you're in a position where multiple list comprehensions are required, it's up to you if you'd prefer to prioritize performance over readability.

List comprehensions are an excellent tool for generating new lists based on your requirements. They're much faster than using a for loop and have the added benefit of making your code look neat and professional.

For situations where you're working with nested lists, multiple list comprehensions are also available to you. The concept of using comprehensions may seem a little complex at first, but once you've wrapped your head around them, you'll never look back!

Get updates in your inbox

Join over 7,500 data science learners.

Recent articles:

The 6 best python courses on the internet in 2023, best course deals for black friday and cyber monday 2024, sigmoid function, dot product, meet the authors.

alfie-grace-headshot-square2.jpg

Alfie graduated with a Master's degree in Mechanical Engineering from University College London. He's currently working as Data Scientist at Square Enix. Find him on  LinkedIn .

Brendan Martin

Back to blog index

Assign multiple values or same value to multiple variables

avatar

Last updated: Sep 11, 2023 Reading time · 3 min

banner

# Table of Contents

  • Initialize multiple variables to the same value in Python
  • Don't use the multiplication operator with mutable objects
  • Using equal signs for the assignments
  • Initializing multiple variables to different values in Python

# Initialize multiple variables to the same value in Python

Use unpacking to initialize multiple variables to the same value.

If the variables store mutable objects like lists, make sure the objects are distinct and are stored in different locations in memory.

If you need to initialize multiple variables to different values, use unpacking.

The multiplication operator is used to assign the same value to multiple variables .

Multiplying a list with an integer repeats the items in the list N times.

You can use unpacking to assign the values from the list to variables in a single line.

# Don't use the multiplication operator with mutable objects

Make sure to not use the multiplication operator with mutable objects .

dont use multiplication operator with mutable objects

  • The same object in memory (list) got assigned to the three variables.
  • If you update one of the lists, the change is reflected in the three variables.

If you need to check if two objects are located in the same place in memory, use the is operator or the id() function.

The id function returns an integer that is constant and unique for the object's lifetime.

To create lists that are stored in different locations in memory, use the range() class.

using range class

The range() class enables us to loop 3 times and create 3 distinct lists.

The class is often used to loop N times.

This approach can also be used to initialize multiple variables that store dictionaries.

# Using equal signs for the assignments

You might also see examples that use equal signs instead of commas.

using equal sign for assignments

This only works for primitive values like strings, integers and booleans.

If you use this approach when declaring lists or dictionaries, they all refer to the same object in memory .

The variables all got updated because they refer to the same list.

# Initializing multiple variables to different values in Python

You can use unpacking when initializing multiple variables to different values.

Using parentheses to group the values on the right is not necessary.

However, if the assignment spans multiple lines, use parentheses to group the values

This approach can also be used when working with lists and dictionaries.

The three variables get set to distinct dictionaries.

The variables on the left need to be exactly as many as the values on the right.

# Further reading

If you want to read more on related topics, check out the following articles:

  • Modify an outer scope variable within a Function in Python
  • How to Assign a Function to a Variable in Python

author avatar

Borislav Hadzhiev

Copyright © 2023 Borislav Hadzhiev

Sign up on Python Hint

Join our community of friendly folks discovering and sharing the latest topics in tech.

We'll never post to any of your accounts without your permission.

Python assigning multiple variables to same value? list behavior

on 9 months ago

Creating multiple variables with the same value

Modifying a list and its effect on assigned variables, differences between assigning values versus referencing a list, conclusion:, set random seed programwide in python.

53945 views

9 months ago

Pandas read_sql with parameters

94756 views

Python Pandas How to assign groupby operation results back to columns in parent dataframe?

39990 views

Automatically creating directories with file output

33020 views

Running a Dash app within a Flask app

Related Posts

How to get the Worksheet ID from a Google Spreadsheet with python?

Python setup.py: ask for configuration data during setup, how to make the shebang be able to choose the correct python interpreter between python3 and python3.5, how to pass const char* from python to c function, how to use plotly/dash (python) completely offline, python - matplotlib - how do i plot a plane from equation, in django/python, how do i set the memcache to infinite time, how do you reload a module in python version 3.3.2, python 3.4 - library for 2d graphics, failed to load the native tensorflow runtime. python 3.5.2, c++ vs python precision, how can i make my code more readable and dryer when working with xml namespaces in python, how to use python multiprocessing module in django view, does declaring variables in a function called from __init__ still use a key-sharing dictionary, calculating power for decimals in python, installation.

Copyright 2023 - Python Hint

Term of Service

Privacy Policy

Cookie Policy

previous episode

Introduction to python, next episode, storing multiple values in lists.

Overview Teaching: 35 min Exercises: 15 min Questions How can I store many values together? Objectives Explain what a list is. Create and index lists of simple values. Change the values of individual elements Append values to an existing list Reorder and slice list elements Create and manipulate nested lists

In the previous episode, we analyzed a single file with inflammation data. Our goal, however, is to process all the inflammation data we have, which means that we still have eleven more files to go!

The natural first step is to collect the names of all the files that we have to process. In Python, a list is a way to store multiple values together. In this episode, we will learn how to store multiple values in a list as well as how to work with lists.

Python lists

Unlike NumPy arrays, lists are built into the language so we do not have to load a library to use them. We create a list by putting values inside square brackets and separating the values with commas:

We can access elements of a list using indices – numbered positions of elements in the list. These positions are numbered starting at 0, so the first element has an index of 0.

Yes, we can use negative numbers as indices in Python. When we do so, the index -1 gives us the last element in the list, -2 the second to last, and so on. Because of this, odds[3] and odds[-1] point to the same element here.

There is one important difference between lists and strings: we can change the values in a list, but we cannot change individual characters in a string. For example:

works, but:

Ch-Ch-Ch-Ch-Changes Data which can be modified in place is called mutable , while data which cannot be modified is called immutable . Strings and numbers are immutable. This does not mean that variables with string or number values are constants, but when we want to change the value of a string or number variable, we can only replace the old value with a completely new value. Lists and arrays, on the other hand, are mutable: we can modify them after they have been created. We can change individual elements, append new elements, or reorder the whole list. For some operations, like sorting, we can choose whether to use a function that modifies the data in-place or a function that returns a modified copy and leaves the original unchanged. Be careful when modifying data in-place. If two variables refer to the same list, and you modify the list value, it will change for both variables! salsa = [ 'peppers' , 'onions' , 'cilantro' , 'tomatoes' ] my_salsa = salsa # <-- my_salsa and salsa point to the *same* list data in memory salsa [ 0 ] = 'hot peppers' print ( 'Ingredients in my salsa:' , my_salsa ) Ingredients in my salsa: ['hot peppers', 'onions', 'cilantro', 'tomatoes'] If you want variables with mutable values to be independent, you must make a copy of the value when you assign it. salsa = [ 'peppers' , 'onions' , 'cilantro' , 'tomatoes' ] my_salsa = list ( salsa ) # <-- makes a *copy* of the list salsa [ 0 ] = 'hot peppers' print ( 'Ingredients in my salsa:' , my_salsa ) Ingredients in my salsa: ['peppers', 'onions', 'cilantro', 'tomatoes'] Because of pitfalls like this, code which modifies data in place can be more difficult to understand. However, it is often far more efficient to modify a large data structure in place than to create a modified copy for every small change. You should consider both of these aspects when writing your code.
Nested Lists Since a list can contain any Python variables, it can even contain other lists. For example, we could represent the products in the shelves of a small grocery shop: x = [[ 'pepper' , 'zucchini' , 'onion' ], [ 'cabbage' , 'lettuce' , 'garlic' ], [ 'apple' , 'pear' , 'banana' ]] Here is a visual example of how indexing a list of lists x works: Using the previously declared list x , these would be the results of the index operations shown in the image: print ([ x [ 0 ]]) [['pepper', 'zucchini', 'onion']] print ( x [ 0 ]) ['pepper', 'zucchini', 'onion'] print ( x [ 0 ][ 0 ]) 'pepper' Thanks to Hadley Wickham for the image above.
Heterogeneous Lists Lists in Python can contain elements of different types. Example: sample_ages = [ 10 , 12.5 , 'Unknown' ]

There are many ways to change the contents of lists besides assigning new values to individual elements:

While modifying in place, it is useful to remember that Python treats lists in a slightly counter-intuitive way.

As we saw earlier, when we modified the salsa list item in-place, if we make a list, (attempt to) copy it and then modify this list, we can cause all sorts of trouble. This also applies to modifying the list using the above functions:

This is because Python stores a list in memory, and then can use multiple names to refer to the same list. If all we want to do is copy a (simple) list, we can again use the list function, so we do not modify a list we did not mean to:

Subsets of lists and strings can be accessed by specifying ranges of values in brackets, similar to how we accessed ranges of positions in a NumPy array. This is commonly referred to as “slicing” the list/string.

Slicing From the End Use slicing to access only the last four characters of a string or entries of a list. string_for_slicing = 'Observation date: 02-Feb-2013' list_for_slicing = [[ 'fluorine' , 'F' ], [ 'chlorine' , 'Cl' ], [ 'bromine' , 'Br' ], [ 'iodine' , 'I' ], [ 'astatine' , 'At' ]] '2013' [['chlorine', 'Cl'], ['bromine', 'Br'], ['iodine', 'I'], ['astatine', 'At']] Would your solution work regardless of whether you knew beforehand the length of the string or list (e.g. if you wanted to apply the solution to a set of lists of different lengths)? If not, try to change your approach to make it more robust. Hint: Remember that indices can be negative as well as positive Solution Use negative indices to count elements from the end of a container (such as list or string): string_for_slicing [ - 4 :] list_for_slicing [ - 4 :]
Non-Continuous Slices So far we’ve seen how to use slicing to take single blocks of successive entries from a sequence. But what if we want to take a subset of entries that aren’t next to each other in the sequence? You can achieve this by providing a third argument to the range within the brackets, called the step size . The example below shows how you can take every third entry in a list: primes = [ 2 , 3 , 5 , 7 , 11 , 13 , 17 , 19 , 23 , 29 , 31 , 37 ] subset = primes [ 0 : 12 : 3 ] print ( 'subset' , subset ) subset [2, 7, 17, 29] Notice that the slice taken begins with the first entry in the range, followed by entries taken at equally-spaced intervals (the steps) thereafter. If you wanted to begin the subset with the third entry, you would need to specify that as the starting point of the sliced range: primes = [ 2 , 3 , 5 , 7 , 11 , 13 , 17 , 19 , 23 , 29 , 31 , 37 ] subset = primes [ 2 : 12 : 3 ] print ( 'subset' , subset ) subset [5, 13, 23, 37] Use the step size argument to create a new string that contains only every other character in the string “In an octopus’s garden in the shade”. Start with creating a variable to hold the string: beatles = "In an octopus's garden in the shade" What slice of beatles will produce the following output (i.e., the first character, third character, and every other character through the end of the string)? I notpssgre ntesae Solution To obtain every other character you need to provide a slice with the step size of 2: beatles [ 0 : 35 : 2 ] You can also leave out the beginning and end of the slice to take the whole string and provide only the step argument to go every second element: beatles [:: 2 ]

If you want to take a slice from the beginning of a sequence, you can omit the first index in the range:

And similarly, you can omit the ending index in the range to take a slice to the very end of the sequence:

Overloading + usually means addition, but when used on strings or lists, it means “concatenate”. Given that, what do you think the multiplication operator * does on lists? In particular, what will be the output of the following code? counts = [ 2 , 4 , 6 , 8 , 10 ] repeats = counts * 2 print ( repeats ) [2, 4, 6, 8, 10, 2, 4, 6, 8, 10] [4, 8, 12, 16, 20] [[2, 4, 6, 8, 10],[2, 4, 6, 8, 10]] [2, 4, 6, 8, 10, 4, 8, 12, 16, 20] The technical term for this is operator overloading : a single operator, like + or * , can do different things depending on what it’s applied to. Solution The multiplication operator * used on a list replicates elements of the list and concatenates them together: [2, 4, 6, 8, 10, 2, 4, 6, 8, 10] It’s equivalent to: counts + counts
Key Points [value1, value2, value3, ...] creates a list. Lists can contain any Python object, including lists (i.e., list of lists). Lists are indexed and sliced with square brackets (e.g., list[0] and list[2:9]), in the same way as strings and arrays. Lists are mutable (i.e., their values can be changed in place). Strings are immutable (i.e., the characters in them cannot be changed).

Learn Duty

Assign Multiple Values to Variable in Python

  • February 16, 2022

Assign Multiple Values to Variables in Python in one line:

One thing to care about when assigning multiple variables in one line is to match the number of variables and the values or you’ll get an error.

Get values from List to variables in Python:

same here, the number of variables must match the values in the list.

Bilel

Related articles

Convert text to a list in python.

  • February 17, 2022

Replace String with another in Python

Remove whitespace from text in python, upper case and lower case in python, slicing strings in python,  casting in python [explained], numbers in python [explained], string {} and format() method in python [explained], local and global variables in python, create global variable in python.

guest

IMAGES

  1. #12 Python Tutorial for Beginners

    python assign list values to multiple variables

  2. Python tutorial 03

    python assign list values to multiple variables

  3. Assigning multiple variables in one line in Python

    python assign list values to multiple variables

  4. Python Variables

    python assign list values to multiple variables

  5. Assign Multiple Values to Multiple Variables and Unpack a Collection

    python assign list values to multiple variables

  6. Variables in Python

    python assign list values to multiple variables

VIDEO

  1. Episode 03 Python Value Assign to Variable ROSHAN ROLANKA

  2. 18. Lists in Python

  3. W3Schools PythonTutorial

  4. How to do Mutli assignment in Python

  5. Python Variables and Data Types: A Beginner's Guide

  6. Python programming tutorials: Change the elements of Lists in Python

COMMENTS

  1. Python

    Method #4: Using dictionary unpacking Approach. using dictionary unpacking. We can create a dictionary with keys corresponding to the variables and values corresponding to the indices we want, and then unpack the dictionary using dictionary unpacking.

  2. python

    Python employs assignment unpacking when you have an iterable being assigned to multiple variables like above. In Python3.x this has been extended, as you can also unpack to a number of variables that is less than the length of the iterable using the star operator: >>> a,b,*c = [1,2,3,4] >>> a 1 >>> b 2 >>> c [3, 4] Share.

  3. Multiple assignment in Python: Assign multiple values or the same value

    For more information on using * and assigning elements of a tuple and list to multiple variables, see the following article.. Unpack a tuple and list in Python; You can also swap the values of multiple variables in the same way. See the following article for details:

  4. Python Variables

    Python Variables - Assign Multiple Values Previous Next Many Values to Multiple Variables. Python allows you to assign values to multiple variables in one line: Example. x, y, z = "Orange", "Banana", "Cherry" print(x) print(y) print(z)

  5. Assign multiple variables with a Python list values

    Assign multiple variables with a Python list values. Python Server Side Programming Programming. Depending on the need of the program we may an requirement of assigning the values in a list to many variables at once. So that they can be further used for calculations in the rest of the part of the program. In this article we will explore various ...

  6. Python's Assignment Operator: Write Robust Assignments

    To create a new variable or to update the value of an existing one in Python, you'll use an assignment statement. This statement has the following three components: A left operand, which must be a variable. The assignment operator ( =) A right operand, which can be a concrete value, an object, or an expression.

  7. Python Many Values to Multiple Variables

    In Python, you can assign multiple values to multiple variables in a single line of code. This is often referred to as "unpacking" or "multiple assignment." The number of variables on the left side of the assignment operator ( = ) should match the number of values on the right side, which can be a tuple, list, or any other iterable.

  8. Python Variables

    Python allows you to assign the same values to multiple variables in one line by using the = operator consecutively. For example -: x = y = z = 124 print (x) # 124 print (y) # 124 print (z) # 124. You should be careful, when assigning mutable objects like dict or list instead of immutable objects like str, int, or float.

  9. python

    No, it doesn't work like that. You can try: one, two, three = range (1, 4) This work by defining the variables in a multiple assignment. Just as you can use a, b = 1, 2. This will unroll the range and assign its values to the LHS variables, so it looks like your loop (except that it works).

  10. Python List Comprehension: single, multiple, nested, & more

    539. Python List Comprehension: single, multiple, nested, & more. The general syntax for list comprehension in Python is: new_list = [x for x in old_list] We've got a list of numbers called , as follows: num_list = [4, 11, 2, 19, 7, 6, 25, 12] , we'd like to append any values greater than ten to a new list. We can do this as follows:

  11. Assign Multiple Values

    The above code assigns three variables, variable1, variable2, and variable3, with values value1, value2, and value3, respectively. Using multiple variables in Python can simplify your code and make it more readable. Instead of declaring and assigning variables separately, you can assign them all in a single line of code, saving you time and reducing the chances of errors.

  12. Assign multiple values or same value to multiple variables

    Initializing multiple variables to different values in Python # Initialize multiple variables to the same value in Python. Use unpacking to initialize multiple variables to the same value. If the variables store mutable objects like lists, make sure the objects are distinct and are stored in different locations in memory.

  13. Assign multiple variables with a Python list values

    Assign multiple variables with a Python list values - Depending on the need of the program us may an requirement of assigning the values in a item to many variables at einmal. So ensure they can be further used for calculations in the rest of the share of the programmer. In the article we will explore various approaches into achieve this.Using for inThe for loo

  14. Python assigning multiple variables to same value? list behavior

    Another way to assign the same value to multiple variables is through list behavior. For example, if we have a list of values [10, 20, 30], we can use the following code to assign each value in the list to a separate variable: python x, y, z = [10, 20, 30] In this example the value 10 is assigned to the variable x, 20 to y, and 30 to z. It is ...

  15. python

    To avoid searching for variables usage, unwanted values can be dummied to clearly state it will not be used. Dummy variables are expected as _ by python linter >>> [ _, line, text ] = foo.split(':') If you don't need the List properties with your variables, you can just remove the square brackets (variables are then managed as a tuple):

  16. Storing Multiple Values in Lists

    Yes, we can use negative numbers as indices in Python. When we do so, the index -1 gives us the last element in the list, -2 the second to last, and so on. Because of this, odds[3] and odds[-1] point to the same element here. There is one important difference between lists and strings: we can change the values in a list, but we cannot change individual characters in a string.

  17. python

    Is there a way to assign variables inside a comprehension so that the output can be composed of functions of the variables? A loop is trivial, but generating a list by transforming inputs sure seems like a "comprehension-ish" task. ... Python list comprehension with multiple variables. 0. Variable with List comprehension. 1. How to add multiple ...

  18. Assign Multiple Values to Variable in Python

    Numbers = ["one", "two", "Three"] x, y, z = Numbers print(x) print(y) print(z) Bilel A. Post navigation

  19. python

    Teams. Q&A for work. Connect and share knowledge within a single location that is structured and easy to search. Learn more about Teams