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to subclass Exceptions and stop using args, but the introduction of message and the original deprecation of args has been retracted.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
docs.python.org › 3 › builtins › exceptions.html
Built-in Exceptions — Python 3.14.7 documentation
Passing arguments of the wrong type (e.g. passing a list when an int is expected) should result in a TypeError, but passing arguments with the wrong value (e.g. a number outside expected boundaries) should result in a ValueError. ... Raised when a reference is made to a local variable in a function or method, but no value has been bound to that variable. This is a subclass of NameError. ... Raised when a Unicode-related encoding or decoding error occurs.
🌐
Python documentation
docs.python.org › 3 › tutorial › errors.html
8. Errors and Exceptions — Python 3.14.7 documentation
For this purpose, exceptions have ... all notes, in the order they were added, after the exception. >>> try: ... raise TypeError('bad type') ......
Discussions

Manually raising (throwing) an exception in Python - Stack Overflow
In this case, I wrote Manually raised error and this raises it with that text. ... asserts will be disabled when the interpreter is run with optimizations, so should not be used for control flow. see comments on Rehan Haider's answer 2023-11-06T02:27:50.647Z+00:00 ... You should learn the raise statement of Python for that. It should be kept inside the try block. ... try: raise TypeError ... More on stackoverflow.com
🌐 stackoverflow.com
Proper way in Python to raise errors while setting variables - Stack Overflow
The standard way of signalling an error in python is to raise an exception and let the calling code handle it. Either let the NameError & TypeError carry on upwards, or catch them and raise an InvalidPassword exception that you define. More on stackoverflow.com
🌐 stackoverflow.com
python - Possible to raise two types of errors? - Stack Overflow
So I'm experimenting making my own program. I have the user input a string and an integer (name, age). I want to raise a Value Error if the age is under 1 (if age > 1:) I did that. But I'm not sur... More on stackoverflow.com
🌐 stackoverflow.com
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
🌐
APXML
apxml.com › courses › python-for-beginners › chapter-9-handling-errors-exceptions › python-raising-exceptions
Raising Python Exceptions | `raise` Statement
raise ExceptionType("Optional descriptive message about the error") Here, ExceptionType is the class of the exception you want to raise. Python has many built-in exception types suitable for various error conditions. It's generally good practice to use the most specific, appropriate built-in exception type available.
Top answer
1 of 11
4330

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.

🌐
DataCamp
datacamp.com › tutorial › exception-handling-python
Exception & Error Handling in Python | Tutorial by DataCamp | DataCamp
May 29, 2026 - RuntimeError: occurs when an error does not fall into any category. NameError: raised when a variable is not found in the local or global scope. MemoryError: raised when programs run out of memory. ValueError: occurs when the operation or function receives an argument with the right type but the wrong value. ZeroDivisionError: raised when you divide a value or variable with zero. SyntaxError: raised by the parser when the Python syntax is wrong.
🌐
Qodo
qodo.ai › blog › learn › common python error types and how to resolve them
Common Python error types and how to resolve them
March 20, 2025 - When a variable or function hasn’t been defined in the current scope, Python raises a NameError. While seemingly straightforward, like some of the other errors above, these errors too can become deceptively complex in larger codebases, especially when dealing with nested scopes and module imports.
🌐
Rollbar
rollbar.com › home › throwing exceptions in python
How to Throw Exceptions in Python | Rollbar
... try: <--program code--> except <--Exception Type 1-->: <--exception handling code--> except <--Exception Type 2-->: <--exception handling code--> except <--Exception Type 3-->: <--exception handling code--> ... else: <--program code to run if "try" block doesn't encounter any error--> ... The “else” block runs if there are no exceptions raised from the “try” block. Looking at the code structure above, you can see the “else” in Python exception handling works almost the same as an “if-else” construct
Published: May 22, 2026
Find elsewhere
🌐
W3Schools
w3schools.com › python › python_ref_exceptions.asp
Python Built-in Exceptions
The table below shows built-in exceptions that are usually raised in Python.
🌐
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. Raise an error and stop the program if x is lower than 0:
Top answer
1 of 3
70

Your code is out of a context so is not obvious the right choice. Following some tips:

  • Don't use NameError exception, it is only used when a name, as the exception itself said, is not found in the local or global scope, use ValueError or TypeError if the exception concerns the value or the type of the parameter;

  • Don't print error messages. Raise meaningful exceptions with a meaningful error message:

    raise ValueError("password must be longer than 6 characters")
    
  • Returning a value from a setter is meaningless while assignment is not an expression, i.e. you cannot check the value of an assignment:

    if (user.password = 'short'): ...
    
  • Just raise an exception in the setter and let the code that set the property handle it.

Example:

class Test:

    minlen = 6

    @property
    def password(self):
        return self._password

    @password.setter
    def password(self, value):
        if not isinstance(value, basestring):
            raise TypeError("password must be a string")
        if len(value) < self.minlen:
            raise ValueError("password must be at least %d character len" % \
                                 self.minlen)
        self._password = value

Look also at this forms handling library, there the validators , here an example, are entities in their own: they can be set dynamically with higher control and less coupled code, but maybe this is much more than you need.

2 of 3
10

The standard way of signalling an error in python is to raise an exception and let the calling code handle it. Either let the NameError & TypeError carry on upwards, or catch them and raise an InvalidPassword exception that you define.

While it is possible to return a success/fail flag or error code from the function as you have done, it is not recommended - it is easy for the caller to forget to check the return value and have errors get lost. Besides you are returning a value from a property setter - this is meaningless in Python since assignments are not expressions and cannot return a value.

You should also never print a message for the user in your exception handling - what if you later want to use the function or class in a GUI program? In that case your print statement will have nowhere to print to. Logging an error to a logfile (using Python's logging module) is often helpful for debugging though.

🌐
Medium
medium.com › @mathur.danduprolu › handling-errors-in-python-try-except-custom-exceptions-and-more-26a6aa436d20
Handling Errors in Python: Try-Except, Custom Exceptions, and More | by Mathur Danduprolu | Medium
October 30, 2024 - ValueError: Raised when a function gets an argument of the correct type but an inappropriate value. IndexError: Happens when trying to access an index that is out of range. KeyError: Raised when accessing a dictionary key that doesn’t exist.
🌐
Real Python
realpython.com › python-raise-exception
Python's raise: Effectively Raising Exceptions in Your Code – Real Python
October 20, 2025 - In the first example, you get a ZeroDivisionError exception because you’re trying to divide 42 by 0. Note how the default error message starts with a lowercase letter and doesn’t have a period at its end. In the second example, you try to access the 0 index in an empty list, and Python raises a TypeError exception for you.
🌐
GeeksforGeeks
geeksforgeeks.org › python › python-raise-keyword
Python Raise Keyword - GeeksforGeeks
May 12, 2026 - The error can be a 'ValueError' or a 'ZeroDivisionError' or some other type of error. Below is the syntax: ... Example: In the below code, we try to convert a string into an integer. If conversion fails, we raise a ValueError.
🌐
Hyperskill
hyperskill.org › university › python › python-raise-exception
Python Raise Exception
August 2, 2024 - By doing this the program indicates that a specific error has occurred. This comes in handy for dealing with situations or indicating when a particular condition hasn't been fulfilled.‍ · if x < 0: raise ValueError("x should be a positive number") The raise keyword is an integral part of exception handling in Python.
🌐
Rollbar
rollbar.com › home › what are the different types of python errors? – and how to handle them
What are the Different Types of Python Errors? – and How to Handle Them
Or if you want to convert the string ... print(z) # Output: 15 · An IndexError is raised in Python when you try to access an index of a sequence (such as a string, list, or tuple) that is out of range....
Published: July 14, 2025
🌐
GeeksforGeeks
geeksforgeeks.org › python › handling-typeerror-exception-in-python
Handling TypeError Exception in Python - GeeksforGeeks
August 22, 2025 - Using arithmetic operations between incompatible types raises a TypeError. For example, combining a string and an integer using the + operator is invalid. ... To fix this error, convert the number to a string before adding.
🌐
Tutorial Teacher
tutorialsteacher.com › python › error-types-in-python
Error Types in Python
Learn about built-in error types in Python such as IndexError, NameError, KeyError, ImportError, etc.
🌐
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."
🌐
Programiz
programiz.com › python-programming › exceptions
Python Exceptions (With Examples)
Whenever these types of runtime errors occur, Python creates an exception object. If not handled properly, it prints a traceback to that error along with some details about why that error occurred. ... Traceback (most recent call last): File "<string>", line 1, in <module> ZeroDivisionError: division by zero · Here, while trying to divide 7 / 0, the program throws a system exception ZeroDivisionError · Illegal operations can raise exceptions.