Catch multiple exceptions in one line (except block)

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I know that I can do:

try:
    # do something that may fail
except:
    # do this if ANYTHING goes wrong

I can also do this:

try:
    # do something that may fail
except IDontLikeYouException:
    # say please
except YouAreTooShortException:
    # stand on a ladder

But if I want to do the same thing inside two different exceptions, the best I can think of right now is to do this:

try:
    # do something that may fail
except IDontLikeYouException:
    # say please
except YouAreBeingMeanException:
    # say please

Is there any way that I can do something like this (since the action to take in both exceptions is to say please):

try:
    # do something that may fail
except IDontLikeYouException, YouAreBeingMeanException:
    # say please

Now this really won't work, as it matches the syntax for:

try:
    # do something that may fail
except Exception, e:
    # say please

So, my effort to catch the two distinct exceptions doesn't exactly come through.

Is there a way to do this?


From Python Documentation:

An except clause may name multiple exceptions as a parenthesized tuple, for example

except (IDontLikeYouException, YouAreBeingMeanException) as e:
    pass

Or, for Python 2 only:

except (IDontLikeYouException, YouAreBeingMeanException), e:
    pass

Separating the exception from the variable with a comma will still work in Python 2.6 and 2.7, but is now deprecated and does not work in Python 3; now you should be using as.

Java Multiple catch block example, How do you define multiple exceptions in a single catch block? We catch multiple exceptions in one except block as follows. An except clause may name multiple exceptions as a parenthesized tuple, for example. try: raise_certain_errors(): except (CertainError1, CertainError2,…) as e: handle_error() Separating the exception from the variable with a comma still works in Python 2.6 and 2.7, but is now deprecated and does not work in Python 3; now we should use ‘as’.


How do I catch multiple exceptions in one line (except block)

Do this:

try:
    may_raise_specific_errors():
except (SpecificErrorOne, SpecificErrorTwo) as error:
    handle(error) # might log or have some other default behavior...

The parentheses are required due to older syntax that used the commas to assign the error object to a name. The as keyword is used for the assignment. You can use any name for the error object, I prefer error personally.

Best Practice

To do this in a manner currently and forward compatible with Python, you need to separate the Exceptions with commas and wrap them with parentheses to differentiate from earlier syntax that assigned the exception instance to a variable name by following the Exception type to be caught with a comma.

Here's an example of simple usage:

import sys

try:
    mainstuff()
except (KeyboardInterrupt, EOFError): # the parens are necessary
    sys.exit(0)

I'm specifying only these exceptions to avoid hiding bugs, which if I encounter I expect the full stack trace from.

This is documented here: https://docs.python.org/tutorial/errors.html

You can assign the exception to a variable, (e is common, but you might prefer a more verbose variable if you have long exception handling or your IDE only highlights selections larger than that, as mine does.) The instance has an args attribute. Here is an example:

import sys

try:
    mainstuff()
except (KeyboardInterrupt, EOFError) as err: 
    print(err)
    print(err.args)
    sys.exit(0)

Note that in Python 3, the err object falls out of scope when the except block is concluded.

Deprecated

You may see code that assigns the error with a comma. This usage, the only form available in Python 2.5 and earlier, is deprecated, and if you wish your code to be forward compatible in Python 3, you should update the syntax to use the new form:

import sys

try:
    mainstuff()
except (KeyboardInterrupt, EOFError), err: # don't do this in Python 2.6+
    print err
    print err.args
    sys.exit(0)

If you see the comma name assignment in your codebase, and you're using Python 2.5 or higher, switch to the new way of doing it so your code remains compatible when you upgrade.

The suppress context manager

The accepted answer is really 4 lines of code, minimum:

try:
    do_something()
except (IDontLikeYouException, YouAreBeingMeanException) as e:
    pass

The try, except, pass lines can be handled in a single line with the suppress context manager, available in Python 3.4:

from contextlib import suppress

with suppress(IDontLikeYouException, YouAreBeingMeanException):
     do_something()

So when you want to pass on certain exceptions, use suppress.

How to Handle Exceptions in Python, How do you handle multiple exceptions with a single except clause? A try statement may have more than one except clause, to specify handlers for different exceptions. At most one handler will be executed. Handlers only handle exceptions that occur in the corresponding try clause, not in other handlers of the same try statement. An except clause may name multiple exceptions as a parenthesized tuple, for example


From Python documentation -> 8.3 Handling Exceptions:

A try statement may have more than one except clause, to specify handlers for different exceptions. At most one handler will be executed. Handlers only handle exceptions that occur in the corresponding try clause, not in other handlers of the same try statement. An except clause may name multiple exceptions as a parenthesized tuple, for example:

except (RuntimeError, TypeError, NameError):
    pass

Note that the parentheses around this tuple are required, because except ValueError, e: was the syntax used for what is normally written as except ValueError as e: in modern Python (described below). The old syntax is still supported for backwards compatibility. This means except RuntimeError, TypeError is not equivalent to except (RuntimeError, TypeError): but to except RuntimeError as TypeError: which is not what you want.

Catching Multiple Exceptions in Java 7, (ZeroDivisionError, ValueError, TypeError): print ( "Something has gone wrong.." ) One could argue if this approach is better compared to the first two proposals… Well, it is definitely better than the second one! Why? Because if we would just catch all exceptions and do checks inside that particular catch block, we are always unwinding the stack.


If you frequently use a large number of exceptions, you can pre-define a tuple, so you don't have to re-type them many times.

#This example code is a technique I use in a library that connects with websites to gather data

ConnectErrs  = (URLError, SSLError, SocketTimeoutError, BadStatusLine, ConnectionResetError)

def connect(url, data):
    #do connection and return some data
    return(received_data)

def some_function(var_a, var_b, ...):
    try: o = connect(url, data)
    except ConnectErrs as e:
        #do the recovery stuff
    blah #do normal stuff you would do if no exception occurred

NOTES:

  1. If you, also, need to catch other exceptions than those in the pre-defined tuple, you will need to define another except block.

  2. If you just cannot tolerate a global variable, define it in main() and pass it around where needed...

How to use the 'except' clause with multiple exceptions in Python?, In Java 7, catch block has been improved to handle multiple exceptions in a single catch block. If you are catching multiple exceptions and they have similar  php - Catching multiple exception types in one catch block - Stack Overflow. I'd like a cleaner way to obtain the following functionality, to catch AError and BError in one block:try{ /* something */}catch( AError, BError $e ){ handler1( $e )}catch( Exceptio Stack Overflow. Products. Customers. Use cases.


One of the way to do this is..

try:
   You do your operations here;
   ......................
except(Exception1[, Exception2[,...ExceptionN]]]):
   If there is any exception from the given exception list, 
   then execute this block.
   ......................
else:
   If there is no exception then execute this block. 

and another way is to create method which performs task executed by except block and call it through all of the except block that you write..

try:
   You do your operations here;
   ......................
except Exception1:
    functionname(parameterList)
except Exception2:
    functionname(parameterList)
except Exception3:
    functionname(parameterList)
else:
   If there is no exception then execute this block. 

def functionname( parameters ):
   //your task..
   return [expression]

I know that second one is not the best way to do this, but i'm just showing number of ways to do this thing.

Java Catch Multiple Exceptions, Rethrow Exception, Rethrowing Exceptions with More Inclusive Type Checking. Handling More Than One Type of Exception. In Java SE 7 and later, a single catch block can handle  Remember, though, that if all the exceptions belong to the same class hierarchy, you can simply catch that base exception type. Also note that you cannot catch both ExceptionA and ExceptionB in the same block if ExceptionB is inherited, either directly or indirectly, from ExceptionA. The compiler will complain:


Catching Multiple Exception Types and Rethrowing Exceptions with , In Java 7 it was made possible to catch multiple different exceptions in the same catch block. This is also known as multi catch. As you can see, the two exceptions SQLException and IOException are handled in the same way, but you still have to write two individual catch blocks for them. All codes should be run, in one try block, even if they raise an exception. – arvidurs Jun 26 '13 at 14:41. 1. Catch multiple exceptions in one line (except block)


How to catch multiple exceptions in one line (except block) in Python?, We catch multiple exceptions in one except block as followsAn except clause may name multiple exceptions as a parenthesized tuple,  Since you're doing the same for both type of exceptions, you could just go: try { //do stuff } catch(Exception ex) { //normal exception handling here } Only catch explicit Exception types if you need to do something unique for it.


Multiple Exception Handling in Python, If you can handle different exceptions all using a single block of code, they can be Code #6 : Create situations where multiple except clauses might match Traceback (most recent call last): File "", line 1, in FileNotFoundError: [Errno 2] No​  Catch multiple exceptions in one line (except block) (5 answers) Closed 4 years ago. I have this code below: def test_counter(self): try: if self.driver.find_element