How do I manually throw/raise an exception in Python?

Use the most specific Exception constructor that semantically fits your issue.

Be specific in your message, e.g.:

raise ValueError('A very specific bad thing happened.')

Don't raise generic exceptions

Avoid raising a generic Exception. To catch it, you'll have to catch all other more specific exceptions that subclass it.

Problem 1: Hiding bugs

raise Exception('I know Python!') # Don't! If you catch, likely to hide bugs.

For example:

def demo_bad_catch():
    try:
        raise ValueError('Represents a hidden bug, do not catch this')
        raise Exception('This is the exception you expect to handle')
    except Exception as error:
        print('Caught this error: ' + repr(error))

>>> demo_bad_catch()
Caught this error: ValueError('Represents a hidden bug, do not catch this',)

Problem 2: Won't catch

And more specific catches won't catch the general exception:

def demo_no_catch():
    try:
        raise Exception('general exceptions not caught by specific handling')
    except ValueError as e:
        print('we will not catch exception: Exception')
 

>>> demo_no_catch()
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "<stdin>", line 3, in demo_no_catch
Exception: general exceptions not caught by specific handling

Best Practices: raise statement

Instead, use the most specific Exception constructor that semantically fits your issue.

raise ValueError('A very specific bad thing happened')

which also handily allows an arbitrary number of arguments to be passed to the constructor:

raise ValueError('A very specific bad thing happened', 'foo', 'bar', 'baz') 

These arguments are accessed by the args attribute on the Exception object. For example:

try:
    some_code_that_may_raise_our_value_error()
except ValueError as err:
    print(err.args)

prints

('message', 'foo', 'bar', 'baz')    

In Python 2.5, an actual message attribute was added to BaseException in favor of encouraging users to subclass Exceptions and stop using args, but the introduction of message and the original deprecation of args has been retracted.

Best Practices: except clause

When inside an except clause, you might want to, for example, log that a specific type of error happened, and then re-raise. The best way to do this while preserving the stack trace is to use a bare raise statement. For example:

logger = logging.getLogger(__name__)

try:
    do_something_in_app_that_breaks_easily()
except AppError as error:
    logger.error(error)
    raise                 # just this!
    # raise AppError      # Don't do this, you'll lose the stack trace!

Don't modify your errors... but if you insist.

You can preserve the stacktrace (and error value) with sys.exc_info(), but this is way more error prone and has compatibility problems between Python 2 and 3, prefer to use a bare raise to re-raise.

To explain - the sys.exc_info() returns the type, value, and traceback.

type, value, traceback = sys.exc_info()

This is the syntax in Python 2 - note this is not compatible with Python 3:

raise AppError, error, sys.exc_info()[2] # avoid this.
# Equivalently, as error *is* the second object:
raise sys.exc_info()[0], sys.exc_info()[1], sys.exc_info()[2]

If you want to, you can modify what happens with your new raise - e.g. setting new args for the instance:

def error():
    raise ValueError('oops!')

def catch_error_modify_message():
    try:
        error()
    except ValueError:
        error_type, error_instance, traceback = sys.exc_info()
        error_instance.args = (error_instance.args[0] + ' <modification>',)
        raise error_type, error_instance, traceback

And we have preserved the whole traceback while modifying the args. Note that this is not a best practice and it is invalid syntax in Python 3 (making keeping compatibility much harder to work around).

>>> catch_error_modify_message()
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "<stdin>", line 3, in catch_error_modify_message
  File "<stdin>", line 2, in error
ValueError: oops! <modification>

In Python 3:

raise error.with_traceback(sys.exc_info()[2])

Again: avoid manually manipulating tracebacks. It's less efficient and more error prone. And if you're using threading and sys.exc_info you may even get the wrong traceback (especially if you're using exception handling for control flow - which I'd personally tend to avoid.)

Python 3, Exception chaining

In Python 3, you can chain Exceptions, which preserve tracebacks:

raise RuntimeError('specific message') from error

Be aware:

  • this does allow changing the error type raised, and
  • this is not compatible with Python 2.

Deprecated Methods:

These can easily hide and even get into production code. You want to raise an exception, and doing them will raise an exception, but not the one intended!

Valid in Python 2, but not in Python 3 is the following:

raise ValueError, 'message' # Don't do this, it's deprecated!

Only valid in much older versions of Python (2.4 and lower), you may still see people raising strings:

raise 'message' # really really wrong. don't do this.

In all modern versions, this will actually raise a TypeError, because you're not raising a BaseException type. If you're not checking for the right exception and don't have a reviewer that's aware of the issue, it could get into production.

Example Usage

I raise Exceptions to warn consumers of my API if they're using it incorrectly:

def api_func(foo):
    '''foo should be either 'baz' or 'bar'. returns something very useful.'''
    if foo not in _ALLOWED_ARGS:
        raise ValueError('{foo} wrong, use "baz" or "bar"'.format(foo=repr(foo)))

Create your own error types when apropos

"I want to make an error on purpose, so that it would go into the except"

You can create your own error types, if you want to indicate something specific is wrong with your application, just subclass the appropriate point in the exception hierarchy:

class MyAppLookupError(LookupError):
    '''raise this when there's a lookup error for my app'''

and usage:

if important_key not in resource_dict and not ok_to_be_missing:
    raise MyAppLookupError('resource is missing, and that is not ok.')
Answer from Aaron Hall on Stack Overflow
🌐
Python documentation
docs.python.org › 3 › tutorial › errors.html
8. Errors and Exceptions — Python 3.14.5rc1 documentation
The variable is bound to the exception instance which typically has an args attribute that stores the arguments. For convenience, builtin exception types define __str__() to print all the arguments without explicitly accessing .args. >>> try: ... raise Exception('spam', 'eggs') ...
🌐
W3Schools
w3schools.com › python › gloss_python_raise.asp
Python Raise an Exception
As a Python developer you can choose to throw an exception if a condition occurs. To throw (or raise) an exception, use the raise keyword.
Discussions

Explain the term “raise an exception” without using the terms “raise” or “throw”
Try reading about excepting handling in python with some example code, this should help you understand. https://www.programiz.com/python-programming/exception-handling TL;DR; sequential execution is stopped when an exception happens, and it looks for an except: block to handle it, and starts executing a matching except block. If no such block found anywhere, including above functions etc, it is finally shown as an error to the user stopping the entire code. More on reddit.com
🌐 r/learnpython
11
0
February 23, 2022
Raising exceptions or returning error objects in Python
I fail to see how a try/catch is more inconvenient than a handful of isinstance calls · What happens when you want to add a new error case? With exceptions, the exception will always be thrown. With error objects, you're going to fall through a bunch of isinstance checks and continue on with ... More on news.ycombinator.com
🌐 news.ycombinator.com
61
44
June 16, 2022
Exception handling in python
When handing exceptions you should specify the exact exception type(s) you want to handle. Handling everything can possibility silence issues you need to fix in your code, or prevent mechanisms that rely on exceptions from working. (Like sys.exit) More on reddit.com
🌐 r/learnpython
5
5
January 25, 2022
Best practices for custom exceptions?
Why would a user ever want to see an exception? Are you writing a library and your so-called "user" is actually another programmer? More on reddit.com
🌐 r/Python
4
1
February 24, 2020
Top answer
1 of 11
4326

How do I manually throw/raise an exception in Python?

Use the most specific Exception constructor that semantically fits your issue.

Be specific in your message, e.g.:

raise ValueError('A very specific bad thing happened.')

Don't raise generic exceptions

Avoid raising a generic Exception. To catch it, you'll have to catch all other more specific exceptions that subclass it.

Problem 1: Hiding bugs

raise Exception('I know Python!') # Don't! If you catch, likely to hide bugs.

For example:

def demo_bad_catch():
    try:
        raise ValueError('Represents a hidden bug, do not catch this')
        raise Exception('This is the exception you expect to handle')
    except Exception as error:
        print('Caught this error: ' + repr(error))

>>> demo_bad_catch()
Caught this error: ValueError('Represents a hidden bug, do not catch this',)

Problem 2: Won't catch

And more specific catches won't catch the general exception:

def demo_no_catch():
    try:
        raise Exception('general exceptions not caught by specific handling')
    except ValueError as e:
        print('we will not catch exception: Exception')
 

>>> demo_no_catch()
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "<stdin>", line 3, in demo_no_catch
Exception: general exceptions not caught by specific handling

Best Practices: raise statement

Instead, use the most specific Exception constructor that semantically fits your issue.

raise ValueError('A very specific bad thing happened')

which also handily allows an arbitrary number of arguments to be passed to the constructor:

raise ValueError('A very specific bad thing happened', 'foo', 'bar', 'baz') 

These arguments are accessed by the args attribute on the Exception object. For example:

try:
    some_code_that_may_raise_our_value_error()
except ValueError as err:
    print(err.args)

prints

('message', 'foo', 'bar', 'baz')    

In Python 2.5, an actual message attribute was added to BaseException in favor of encouraging users to subclass Exceptions and stop using args, but the introduction of message and the original deprecation of args has been retracted.

Best Practices: except clause

When inside an except clause, you might want to, for example, log that a specific type of error happened, and then re-raise. The best way to do this while preserving the stack trace is to use a bare raise statement. For example:

logger = logging.getLogger(__name__)

try:
    do_something_in_app_that_breaks_easily()
except AppError as error:
    logger.error(error)
    raise                 # just this!
    # raise AppError      # Don't do this, you'll lose the stack trace!

Don't modify your errors... but if you insist.

You can preserve the stacktrace (and error value) with sys.exc_info(), but this is way more error prone and has compatibility problems between Python 2 and 3, prefer to use a bare raise to re-raise.

To explain - the sys.exc_info() returns the type, value, and traceback.

type, value, traceback = sys.exc_info()

This is the syntax in Python 2 - note this is not compatible with Python 3:

raise AppError, error, sys.exc_info()[2] # avoid this.
# Equivalently, as error *is* the second object:
raise sys.exc_info()[0], sys.exc_info()[1], sys.exc_info()[2]

If you want to, you can modify what happens with your new raise - e.g. setting new args for the instance:

def error():
    raise ValueError('oops!')

def catch_error_modify_message():
    try:
        error()
    except ValueError:
        error_type, error_instance, traceback = sys.exc_info()
        error_instance.args = (error_instance.args[0] + ' <modification>',)
        raise error_type, error_instance, traceback

And we have preserved the whole traceback while modifying the args. Note that this is not a best practice and it is invalid syntax in Python 3 (making keeping compatibility much harder to work around).

>>> catch_error_modify_message()
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "<stdin>", line 3, in catch_error_modify_message
  File "<stdin>", line 2, in error
ValueError: oops! <modification>

In Python 3:

raise error.with_traceback(sys.exc_info()[2])

Again: avoid manually manipulating tracebacks. It's less efficient and more error prone. And if you're using threading and sys.exc_info you may even get the wrong traceback (especially if you're using exception handling for control flow - which I'd personally tend to avoid.)

Python 3, Exception chaining

In Python 3, you can chain Exceptions, which preserve tracebacks:

raise RuntimeError('specific message') from error

Be aware:

  • this does allow changing the error type raised, and
  • this is not compatible with Python 2.

Deprecated Methods:

These can easily hide and even get into production code. You want to raise an exception, and doing them will raise an exception, but not the one intended!

Valid in Python 2, but not in Python 3 is the following:

raise ValueError, 'message' # Don't do this, it's deprecated!

Only valid in much older versions of Python (2.4 and lower), you may still see people raising strings:

raise 'message' # really really wrong. don't do this.

In all modern versions, this will actually raise a TypeError, because you're not raising a BaseException type. If you're not checking for the right exception and don't have a reviewer that's aware of the issue, it could get into production.

Example Usage

I raise Exceptions to warn consumers of my API if they're using it incorrectly:

def api_func(foo):
    '''foo should be either 'baz' or 'bar'. returns something very useful.'''
    if foo not in _ALLOWED_ARGS:
        raise ValueError('{foo} wrong, use "baz" or "bar"'.format(foo=repr(foo)))

Create your own error types when apropos

"I want to make an error on purpose, so that it would go into the except"

You can create your own error types, if you want to indicate something specific is wrong with your application, just subclass the appropriate point in the exception hierarchy:

class MyAppLookupError(LookupError):
    '''raise this when there's a lookup error for my app'''

and usage:

if important_key not in resource_dict and not ok_to_be_missing:
    raise MyAppLookupError('resource is missing, and that is not ok.')
2 of 11
579

Don't do this. Raising a bare Exception is absolutely not the right thing to do; see Aaron Hall's excellent answer instead.

It can't get much more Pythonic than this:

raise Exception("I know Python!")

Replace Exception with the specific type of exception you want to throw.

See the raise statement documentation for Python if you'd like more information.

🌐
Reddit
reddit.com › r/learnpython › explain the term “raise an exception” without using the terms “raise” or “throw”
r/learnpython on Reddit: Explain the term “raise an exception” without using the terms “raise” or “throw”
February 23, 2022 -

I’m a python learner and am pretty ok with the syntax, and am now finding myself struggling with some of the deeper concepts, in this case error handling. Our environment is python running in a pytest framework using some pre-structured functions along with scripts and functions we write ourselves. I have visibility into the scripts and functions I write, along with some of the pre-structured functions, but the lowest level functions are beyond my view and control. I regularly run into exceptions in these lower levels and am trying to understand what’s going on. All the references I find say something like “raising an exception is when an executions error occurs, the error is raised as an exception”. This makes me nuts as they are explaining the term by using the term. So… Q1: what happens when an “exception is raised”? In terms of program execution and control and variables. Q2: if my script calls a function1 that calls a function2 which contains a command that “raises an exception” can I catch and handle it in function1 or in my top-level script, and if so, how? Q3: if I’m asking the wrong question, what should I be asking and/or researching?

Top answer
1 of 5
4
Try reading about excepting handling in python with some example code, this should help you understand. https://www.programiz.com/python-programming/exception-handling TL;DR; sequential execution is stopped when an exception happens, and it looks for an except: block to handle it, and starts executing a matching except block. If no such block found anywhere, including above functions etc, it is finally shown as an error to the user stopping the entire code.
2 of 5
4
So… Q1: what happens when an “exception is raised”? Go back a step - what happens when a function is called? Maybe you've got an idea, but let's be explicit - what happens is that the interpreter "puts a pin" in what it's currently doing, the line it's currently executing, and it jumps to the body of the function and executes that. Only it's not actually a pin, it's a stack frame. It puts a frame on the call stack - a collection of these frames, in the form of a stack, that the interpreter is using to keep track of where it needs to go back to when the function returns - and starts executing the body of the function that was called. If that function calls a function, then another frame goes on the call stack and you jump into the body of the new function. When the function returns, you "pop" a frame off the stack, and you return to where the function was called, possibly holding a return value. If you've written functions that call functions (that call functions, etc...) then you've had some intuitive notion of "returning" all the way back to where you started. That's called "unwinding the stack." When you raise an exception, somewhere deep in a nest of called functions, what the interpreter does is start removing stack frames from the stack, immediately returning functions wherever they're currently at in their execution. It keeps track as it does so, and you see that in the error output as something called the exception stacktrace: Traceback (most recent call last): File "/path/to/example.py", line 4, in greet('Chad') File "/path/to/example.py", line 2, in greet print('Hello, ' + someon) NameError: name 'someon' is not defined The interpreter pops stack frames until one of two things happens - either you pop all the way to an empty stack and your Python program exits with a relevant error code, or you pop into the body of a try block. If the try block is followed by an except block that declares it can handle errors of that type (so, except NameError to catch our example exception above) then the interpreter stops popping stack frames and moves execution to that except block and continues from there. That's what it means to raise an exception - it means "start to unwind the execution call stack of your program until the interpreter finds itself in a frame where the exception can be handled, or it runs out of frames."
🌐
Python
docs.python.org › 3 › library › exceptions.html
Built-in Exceptions — Python 3.14.5rc1 documentation
It was more commonly used before the exception chaining features of PEP 3134 became available. The following example shows how we can convert an instance of SomeException into an instance of OtherException while preserving the traceback. Once raised, the current frame is pushed onto the traceback of the OtherException, as would have happened to the traceback of the original SomeException had we allowed it to propagate to the caller.
🌐
Hyperskill
hyperskill.org › university › python › python-raise-exception
Python Raise Exception
August 2, 2024 - The from clause in exception handling allows one exception to be raised as a result of another exception, preserving the original traceback information. The bare raise statement is used to re-raise the last raised exception, allowing it to be caught by a higher-level exception handler.
Find elsewhere
🌐
Coursera
coursera.org › tutorials › python-exception
How to Catch, Raise, and Print a Python Exception | Coursera
Additionally, handling exceptions this way enables you to replace the interpreter’s error message with a much more user friendly one. The raise statement allows you to force an error to occur.
🌐
DataCamp
datacamp.com › tutorial › exception-handling-python
Exception & Error Handling in Python | Tutorial by DataCamp | DataCamp
December 12, 2024 - The most simple way of handling exceptions in Python is by using the try and except block. Run the code under the try statement. When an exception is raised, execute the code under the except statement.
🌐
Luis Llamas
luisllamas.es › inicio › cursos › curso python
Raising Exceptions with `raise` in Python
November 20, 2024 - By using raise, we can generate custom errors or re-raise caught exceptions to be handled at a higher level of the program. The raise statement in Python is used to intentionally raise an exception.
🌐
Composingprograms
composingprograms.com › pages › 33-exceptions.html
3.3 Exceptions
When an exception is raised, no further statements in the current block of code are executed. Unless the exception is handled (described below), the interpreter will return directly to the interactive read-eval-print loop, or terminate entirely if Python was started with a file argument.
🌐
DEV Community
dev.to › kfir-g › raising-the-difference-between-raise-and-raise-e-378h
Raising the Difference Between raise and raise e - DEV Community
November 16, 2024 - raise e: Re-raises the caught exception but resets the traceback to start from the line where raise e is called. The distinction may seem minor, but it can significantly impact how tracebacks are displayed and how easy they are to interpret.
🌐
Hacker News
news.ycombinator.com › item
Raising exceptions or returning error objects in Python | Hacker News
June 16, 2022 - I fail to see how a try/catch is more inconvenient than a handful of isinstance calls · What happens when you want to add a new error case? With exceptions, the exception will always be thrown. With error objects, you're going to fall through a bunch of isinstance checks and continue on with ...
🌐
GeeksforGeeks
geeksforgeeks.org › python › python-raise-keyword
Python Raise Keyword - GeeksforGeeks
July 23, 2025 - The raise error keyword raises a value error with the message "String can't be changed into an integer". ... s = 'apple' try: num = int(s) except ValueError: raise ValueError("String can't be changed into integer")
🌐
Medium
medium.com › @ryk.kiel › raising-and-catching-exceptions-in-python-a-beginners-guide-3f9b83e1c278
Raising and Catching Exceptions in Python: A Beginner’s Guide | by Ryk Kiel | Medium
January 7, 2023 - The most common way to handle exceptions in Python is using the try and except statements. The basic structure is as follows: try: # code that may raise an exception except ExceptionType: # code to handle the exception
🌐
W3Schools
w3schools.com › python › python_try_except.asp
Python Try Except
Print one message if the try block raises a NameError and another for other errors: try: print(x) except NameError: print("Variable x is not defined") except: print("Something else went wrong") Try it Yourself » · See more Error types in our Python Built-in Exceptions Reference.
🌐
Python Tutorial
pythontutorial.net › home › python oop › python raise exception
Python Raise Exceptions
November 27, 2021 - In the division() function, we raise a ValueErrorexception if the ZeroDivisionError occurs. If you run the following code, you’ll get the detail of the stack trace: ... Traceback (most recent call last): File "C:/pythontutorial/app.py", line 3, in division return a / b ZeroDivisionError: division by zero During handling of the above exception, another exception occurred: Traceback (most recent call last): File "C:/pythontutorial/app.py", line 8, in <module> division(1, 0) File "C:/pythontutorial/app.py", line 5, in division raise ValueError('b must not zero') ValueError: b must not zeroCode language: plaintext (plaintext)
🌐
Boot.dev
boot.dev › blog › python › python-exceptions
Python Exceptions: Try, Except, and Raise | Boot.dev
March 8, 2026 - Python uses a try/except pattern for handling exceptions. The try block runs until an exception is raised or it completes, whichever happens first.
🌐
APXML
apxml.com › courses › python-for-beginners › chapter-9-handling-errors-exceptions › python-raising-exceptions
Raising Python Exceptions | `raise` Statement
Manually raising exceptions is a fundamental technique for creating programs that are functional and clear about their operational constraints and strong in the face of invalid data or states. ... The raise statement, Python Software Foundation, 2024 (Python Software Foundation) - Official documentation on how to use the raise statement to manually trigger exceptions, detailing its syntax and basic usage.
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JanBask Training
janbasktraining.com › community › python-python › why-is-python-raise-exception-used
Why is Python raise exception used? | JanBask Training Community
November 14, 2023 - Python raise exception is mainly used for error signaling. When the condition indicates an error, it can raise the exception. Raising the exception is a way to signal that something unexpected has happened.