Indentation Error in Python: Solving One of the Most Common Syntax Errors!
By Rohit Sharma
Updated on Jun 27, 2025 | 14 min read | 37.1K+ views
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By Rohit Sharma
Updated on Jun 27, 2025 | 14 min read | 37.1K+ views
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Did You Know? According to a study by the University of Cambridge, syntax errors account for a substantial portion of debugging time in software development. This means that developers often spend a significant amount of time fixing mistakes, such as indentation errors, before they can address more profound logic or runtime issues in their Python code. |
An indentation error in Python refers to the use of spaces or tabs to define the structure of your code. You will get an error message if there's inconsistent or missing indentation. As a Python programmer, it can be frustrating to have your project come to a standstill due to an error in your code.
Since Python is one of the most popular programming languages today, it is essential to learn how to resolve an indentation error in Python. This way, you can reduce the time spent on debugging code.
In this blog, you'll learn about the causes of these errors, and how you can solve them using best practices.
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Indentation is a fundamental aspect of Python's syntax, and it helps define blocks of code. Python uses indentation (spaces or tabs) to signify the beginning and end of these blocks. This approach makes Python code more readable and easier to maintain.
An Indentation Error in Python occurs when the indentation in your code is inconsistent or incorrect.
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In Python, a block of code refers to a group of statements that are executed together. These blocks typically correspond to the body of functions, loops, conditionals, and classes. The indentation level determines which statements belong to a particular block.
For example, in an if statement, the indented code directly beneath it forms the block of code that will execute if the condition is True. Similarly, in a loop, the indented code inside the loop is executed for each iteration.
Sample Code:
def greet(name):
print("Hello,", name) # This is part of the block inside the greet function
if True:
print("This code is inside an if block") # Indented to be part of the if block
print("This is also part of the if block")
indentation example in Python, the print() statements are indented to show that they are part of the respective blocks — the greet() function and the if statement.
Indentation Error in Python: An indentation error in Python occurs when the indentation of the code does not follow the rules that Python expects. Such an error typically happens when:
The error message typically looks like this:
IndentationError: expected an indented block
Here’s a typical indentation example in Python leading to an error:
Example 1: Unexpected Indentation Error
def greet(name):
print("Hello,", name) # This will raise an IndentationError
Explanation: In this indentation example in Python above, the print() statement is not indented inside the function greet(). Python expects the body of the function to be indented, so this causes an IndentationError.
Error Message:
makefile
IndentationError: expected an indented block
How to Fix: You need to indent the print() statement to indicate that it is part of the function body.
Fixed Code:
def greet(name):
print("Hello,", name) # Indented properly to be part of the function
Example 2: Inconsistent Use of Tabs and Spaces
def greet(name):
print("Hello,", name) # Indented with 4 spaces
print("Welcome!") # Indented with a tab (inconsistent)
Explanation: In the above indentation example in Python, the first print() statement is indented with spaces, but the second one uses a tab character for indentation. Python requires consistency in indentation, and mixing tabs and spaces leads to an indentation error in Python.
Error Message:
TabError: inconsistent use of tabs and spaces in indentation
How to Fix: You should choose either spaces or tabs for indentation and stick to that choice consistently. Python's style guide, PEP 8, recommends using 4 spaces per indentation level.
Fixed Code:
def greet(name):
print("Hello,", name) # Indented with 4 spaces
print("Welcome!") # Correctly indented with 4 spaces
Indentation is crucial in Python, as it defines how the program's code is structured and executed. By being mindful of potential issues, you can avoid common pitfalls such as an indentation error in Python. In the following section, you can get acquainted with some common Python indentation errors you need to avoid while writing codes.
Also Read: Top 10 Reasons Why Python is So Popular With Developers in 2025
Next, let’s look at some of the common indentation errors in Python.
Python relies on indentation to define the structure of code, which makes it a powerful tool for readability. However, improper indentation can cause errors in its classes or libraries that are often hard to identify.
Here are some common instances of indentation errors in Python that developers encounter:
An Unexpected Indent occurs when there is an extra level of indentation where it is not expected, typically after a non-indented line.
Cause: This error happens when you incorrectly add an indentation before a statement that Python does not expect to be indented.
Example:
print("Hello, World!")
print("This will cause an IndentationError") # Unexpected indent
Explanation: In this indentation example in Python, the second print statement is indented unnecessarily, which Python does not expect at the top level of the code.
How to Fix: Remove the extra indentation so the second print statement aligns with the first one.
Fixed Code:
print("Hello, World!")
print("This will work fine now")
In Python, you must be consistent when using indentation. Mixing spaces and tabs within the same file will cause an indentation error in Python, as Python can't differentiate between the two, leading to unexpected behavior.
Cause: This happens when a developer uses both tabs and spaces interchangeably within the same block of code. Python interprets them differently, causing misalignment.
Example:
def greet():
print("Hello") # Indented with a tab
print("Hi there!") # Indented with spaces
Explanation: In this indentation example in Python, the first line uses a tab character to indent, while the second line uses spaces. This inconsistency will throw an IndentationError.
How to Fix: To avoid indentation error in Python, configure your editor to use either tabs or spaces and ensure the entire file uses one method.
Fixed Code:
def greet():
print("Hello") # Indented with 4 spaces
print("Hi there!") # Consistent indentation with 4 spaces
Also Read: Round function in Python [2025] - Explained for Beginners
Unintended Indentation can happen when a developer accidentally indents a line of code that should not be indented. Similarly, a lack of indentation can occur when a block of code that should be indented isn't. Both indentation errors are common when writing conditional statements, loops, or functions.
Cause: Unintended indentation typically occurs when a new line of code is mistakenly indented. It can also happen when indentation is missing where it's needed (for example, in a function body or a loop).
Example 1: Unintended Indentation (Missing Code Block)
if x > 10:
print("x is greater than 10") # Missing indentation after if statement
Explanation: In this indentation example in Python, Python expects the print() statement to be indented as part of the if block. Without the indentation, an indentation error in Python is created.
How to Fix: Indent the print() statement properly so it belongs to the if block.
Fixed Code:
if x > 10:
print("x is greater than 10") # Proper indentation
Example 2: Unintended Lack of Indentation (Inside a Function)
def greet():
print("Hello") # Missing indentation for code inside function
Explanation: Here in this indentation example in Python, the print() statement inside the greet() function should be indented to indicate that it belongs to the function's body. Without indentation, Python doesn't recognize it as part of the function.
How to Fix: Indent the print() statement properly inside the function.
Fixed Code:
def greet():
print("Hello") # Proper indentation inside function
By understanding the common types of indentation errors and following these troubleshooting tips, you can keep your Python code clean and error-free. You can also check out some indentation examples in Python to develop a clearer understanding.
Also Read: Top 7 Data Types of Python | Python Data Types
Next, you will learn how to solve common indentation errors in Python.
Indentation errors in Python can be frustrating, but you'd be pleased to know they can be easily solved by following some best practices. Below are some recommendations and tips to help you maintain consistent indentation and avoid common mistakes.
Spaces vs. Tabs: Decide whether to use spaces or tabs for indentation and stick to one choice throughout your code.
Recommendation: It's best to use 4 spaces for indentation.
Example (using 4 spaces for indentation):
def greet():
print("Hello, World!") # Indented with 4 spaces
print("How are you?")
Most modern text editors and IDEs allow you to configure the "Tab" key to insert spaces instead of tabs.
For VS Code: Go to Settings → Editor: Insert Spaces → Set it to true.
Example:
def greet():
print("Hello") # Indented with 4 spaces
print("Hi there!") # Indented with a tab (incorrect)
In this example, mixing spaces and tabs results in an IndentationError.
Mixing spaces and tabs will cause errors. Use the "Show Invisibles" feature in your editor to visualize spaces and tabs. Make sure all indentation is consistent throughout your code.
Ensure that all statements inside the same block (loops, conditionals, functions) are indented to the same level. Inconsistent indentation will lead to an IndentationError.
Correct Example:
if True:
print("This is correct") # Indented with 4 spaces
print("Inside the if block") # Same indentation level
Incorrect Example:
if True:
print("This is correct")
print("This will cause an indentation error") # Inconsistent indentation
Many IDEs have auto-formatting or auto-indentation features that adjust the indentation when you write or modify code.
In VS Code: Use Shift + Alt + F to auto-format the code and fix indentation issues.
When writing control flow statements (like if, for, while), make sure that the following line is indented properly.
Correct Example:
if x > 10:
print("x is greater than 10")
Incorrect Example:
if x > 10:
print("x is greater than 10") # This will raise an IndentationError
Nested code blocks require additional levels of indentation. Ensure each level is properly indented to avoid indentation errors.
Example of Nested Code:
def check_number(x):
if x > 10:
print("x is greater than 10")
else:
print("x is less than or equal to 10")
Tools like Flake8, Pylint, or Black can help catch indentation problems and enforce consistent style. Integrate a linter into your editor to get real-time feedback.
To install Flake8:
pip install flake8
To run Flake8:
flake8 your_script.py
By following these practices and utilizing your editor's features, you can easily avoid most indentation errors and improve the readability and maintainability of your Python code.
Also Read: Python Cheat Sheet: From Fundamentals to Advanced Concepts for 2025
Next, let's explore some of the benefits and challenges of using indentation in Python coding.
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Indentation is a key part of Python’s syntax, helping you organize code in a readable and structured way. It allows you to easily visualize the hierarchy of functions, loops, and conditionals, improving code clarity and reducing errors.
However, indentation can also pose challenges. Errors can be tricky to spot, especially in large codebases, and if you’re coming from a language that uses braces or other delimiters, adapting to Python’s whitespace-based structure might take some time.
Here are some benefits and challenges of using indentation error in Python:
Benefits |
Challenges |
Enhanced Readability: Makes the code structure clear and easy to follow. | Corrupted Indentation in Large Codebases: Hard to identify and fix small errors in large projects. |
Elimination of Delimiters: No need for braces {}, leading to cleaner and more readable code. | Adjusting to Whitespace Rules: Developers from brace-based languages may find it difficult to adapt. |
Consistent Structure: Ensures uniformity, making debugging easier. | Inconsistent Spaces and Tabs: Mixing spaces and tabs can lead to errors, especially with different IDE settings. |
Cleaner Code Aesthetics: Python’s indentation leads to inherently simpler and visually appealing code. | Indentation Errors in Nested Code: Deeply nested code can be harder to manage, increasing the chances of errors. |
IDE Support: Editors like VS Code and PyCharm help maintain proper indentation with auto-indentation and syntax highlighting. | Difficult to Spot Errors: Small indentation mistakes are hard to detect, especially in large codebases. |
You can also get a better understanding of Python integrations with upGrad’s Learn Python Libraries: NumPy, Matplotlib & Pandas. Learn how to manipulate data using NumPy, visualize insights with Matplotlib, and analyze datasets with Pandas.
Also Read: Object Oriented Programming Concept in Python
Next, let’s look at some best practices you can follow to avoid the challenges.
While indentation errors may seem minor, they can quickly escalate, causing confusion and breaking the flow of your code. Following best practices is crucial because it ensures your code remains clean, readable, and functional. By adhering to these practices, you not only prevent frustrating errors but also create a solid foundation for future development, making collaboration with others smoother and more efficient.
Here are some of them:
Choose an editor or IDE that supports Python and helps manage indentation automatically. Popular editors like Visual Studio Code, PyCharm, and Sublime Text offer features such as:
These features help prevent indentation errors and make coding smoother.
To avoid mixing spaces and tabs, configure your editor to insert spaces when you press the "Tab" key.
This ensures consistent indentation and eliminates the possibility of accidental indentation errors.
Linters analyze your code for syntax and style issues, including indentation problems. They can catch errors before running the code, saving time and reducing errors.
Linters also help enforce PEP 8 (Python’s style guide), ensuring your code adheres to industry-standard formatting.
Many modern code editors have a “Show Invisibles” feature that allows you to visualize invisible characters like spaces, tabs, and line breaks.
This makes it easy to spot mixed indentation (spaces vs. tabs) and ensures consistent formatting.
Understanding Python’s indentation rules and common pitfalls can help you avoid errors from the start.
Enroll in a Python programming course to get a deeper understanding of indentation issues and how to address them.
If you are a full-stack developer wanting to learn advanced concepts in Python, upGrad’s AI-Driven Full-Stack Development bootcamp can help you. You’ll learn how to build AI-powered software using OpenAI, GitHub Copilot, Bolt AI & more.
Also Read: Recurrent Neural Network in Python: Ultimate Guide for Beginners
Next, let’s look at how upGrad can help you understand indentation errors in Python.
Indentation errors are one of the most common challenges when learning Python, but the good news is they’re easy to avoid with the right approach. The key to solving it is understanding Python’s strict whitespace rules and following best practices consistently.
upGrad’s comprehensive courses can help you master these skills, making your coding smoother and more efficient.These courses are ideal for developers seeking to enhance their coding skills and avoid common coding errors.
In addition to the primary programs covered in the blog, here are some additional free courses to complement your learning journey:
If you're unsure where to begin or which area to focus on, upGrad’s expert career counselors can guide you based on your goals. You can also visit a nearby upGrad offline center to explore course options, get hands-on experience, and speak directly with mentors!
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References:
https://www.statista.com/statistics/793628/worldwide-developer-survey-most-used-languages/
https://totalview.io/press-releases/university-cambridge-study-failure-adopt-reverse-debugging-costs-global-economy-41
https://scrapingant.com/blog/python-common-mistakes
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