Python try except get error message

In this Python Tutorial let us learn about the 3 different pieces of information that you can extract and use from the Exceptions caught on your except clauses, and see the best ways to use each of these pieces in our Python programs.

Let us start by learning what the 3 pieces of information are.

What kind of information can you get from Exceptions?

You can get the following 3 pieces of data from exceptions

• Exception Type,
• Exception Value a.k.a Error Message, and
• Stack-trace or Traceback Object.

All three of the above information is printed out by the Python Interpreter when our program crashes due to an exception as shown in the following example

>> my_list = [1,2]
>> print (my_list[3])
Traceback (most recent call last):

  File "<ipython-input-35-63c7f9106be5>", line 1, in <module>
    print (my_list[3])

IndexError: list index out of range

Lines 3,4,5,6 shows the Stack-trace
Line 7 shows the Exception type and Error Message.

Our focus in this article is to learn how to extract the above 3 pieces individually in our except clauses and print them out as needed.

Hence, the rest of the article is all about answering the following questions

• what does each of the information in the above list mean,
• how to extract each of these 3 pieces individually and
• how to use these pieces in our programs.

Piece#1: Printing Exception Type

The Exception Type refers to the class to which the Exception that you have just caught belongs to.

Extracting Piece#1 (Exception Type)

Let us improve our Example 1 above by putting the problematic code into try and except clauses.

try:
  my_list = [1,2]
  print (my_list[3])
except Exception as e:
  print(type(e))

Here, in the try clause, we have declared a List named my_list and initialized the list with 2 items. Then we have tried to print the 3rd/non-existent item in the list.

The except clause catches the IndexError exception and prints out Exception type.

On running the code, we will get the following output

<class 'IndexError'>

As you can see we just extracted and printed out the information about the class to which the exception that we have just caught belongs to!

But how exactly did we do that?
If you have a look at the except clause. In the line

except Exception as e:

what we have done is, we have assigned the caught exception to an object named “e”. Then by using the built-in python function type(), we have printed out the class name that the object e belongs to.

print(type(e))

Where to get more details about Exception Types

Now that we have the “Exception Type”, next we will probably need to get some information about that particular type so that we can get a better understanding of why our code has failed. In order to do that, the best place to start is the official documentation.

For built in exceptions you can have a look at the Python Documentation

For Exception types that come with the libraries that you use with your code, refer to the documentation of your library.

Piece#2: Printing Exception Value a.k.a Error message

The Exception type is definitely useful for debugging, but, a message like IndexError might sound cryptic and a good understandable error-message will make our job of debugging easier without having to look at the documentation.

In other words, if your program is to be run on the command line and you wish to log why the program just crashed then it is better to use an “Error message” rather than an “Exception Type”.

The example below shows how to print such an Error message.

try:
  my_list = [1,2]
  print (my_list[3])
except Exception as e:
  print(e)

This will print the default error message as follows

list index out of range

Each Exception type comes with its own error message. This can be retrieved using the built-in function print().

Say your program is going to be run by a not-so-tech-savvy user, in that case, you might want to print something friendlier. You can do so by passing in the string to be printed along with the constructor as follows.

try:
  raise IndexError('Custom message about IndexError')
except Exception as e:
  print(e)

This will print

Custom message about IndexError

To understand how the built-in function print() does this magic, and see some more examples of manipulating these error messages, I recommend reading my other article in the link below.

Python Exception Tutorial: Printing Error Messages (5 Examples!)

If you wish to print both the Error message and the Exception type, which I recommend, you can do so like below.

try:
  my_list = [1,2]
  print (my_list[3])
except Exception as e:
  print(repr(e))

This will print something like

IndexError('list index out of range')

Now that we have understood how to get control over the usage of Pieces 1 and 2, let us go ahead and look at the last and most important piece for debugging, the stack-trace which tells us where exactly in our program have the Exception occurred.

Piece#3: Printing/Logging the stack-trace using the traceback object

Stack-trace in Python is packed into an object named traceback object.

This is an interesting one as the traceback class in Python comes with several useful methods to exercise complete control over what is printed.

Let us see how to use these options using some examples!

import traceback

try:
  my_list = [1,2]
  print (my_list[3])
except Exception:
  traceback.print_exc()

This will print something like

Traceback (most recent call last):
  File "<ipython-input-38-f9a1ee2cf77a>", line 5, in <module>
    print (my_list[3])
IndexError: list index out of range

which contains the entire error messages printed by the Python interpreter if we fail to handle the exception.

Here, instead of crashing the program, we have printed this entire message using our exception handler with the help of the print_exc() method of the traceback class.

The above Example-6 is too simple, as, in the real-world, we will normally have several nested function calls which will result in a deeper stack. Let us see an example of how to control the output in such situations.

def func3():
  my_list = [1,2]
  print (my_list[3])

def func2():
  print('calling func3')
  func3()

def func1():
  print('calling func2')
  func2()

try:
  print('calling func1')
  func1()
except Exception as e:
    traceback.print_exc()

Here in the try clause we call func1(), which in-turn calls func2(), which in-turn calls func3(), which produces an IndexError. Running the code above we get the following output

calling func1
calling func2
calling func3
Traceback (most recent call last):
  File "<ipython-input-42-2267707e164f>", line 15, in <module>
    func1()
  File "<ipython-input-42-2267707e164f>", line 11, in func1
    func2()
  File "<ipython-input-42-2267707e164f>", line 7, in func2
    func3()
  File "<ipython-input-42-2267707e164f>", line 3, in func3
    print (my_list[3])
IndexError: list index out of range

Say we are not interested in some of the above information. Say we just want to print out the Traceback and skip the error message and Exception type (the last line above), then we can modify the code like shown below.

def func3():
  my_list = [1,2]
  print (my_list[3])

def func2():
  func3()

def func1():
  func2()

try:
  func1()
except Exception as e:
    traceback_lines = traceback.format_exc().splitlines()
    for line in traceback_lines:
      if line != traceback_lines[-1]:
        print(line)

Here we have used the format_exc() method available in the traceback class to get the traceback information as a string and used splitlines() method to transform the string into a list of lines and stored that in a list object named traceback_lines

Then with the help of a simple for loop we have skipped printing the last line with index of -1 to get an output like below

Traceback (most recent call last):
  File "<ipython-input-43-aff649563444>", line 3, in <module>
    func1()
  File "<ipython-input-42-2267707e164f>", line 11, in func1
    func2()
  File "<ipython-input-42-2267707e164f>", line 7, in func2
    func3()
  File "<ipython-input-42-2267707e164f>", line 3, in func3
    print (my_list[3])

Another interesting variant of formatting the information in the traceback object is to control the depth of stack that is actually printed out.

If your program uses lots of external library code, odds are the stack will get very deep, and printing out each and every level of function call might not be very useful. If you ever find yourself in such a situation you can set the limit argument in the print_exc() method like shown below.

traceback.print_exc(limit=2, file=sys.stdout)

This will limit the number of levels to 2. Let us use this line of code in our Example and see how that behaves

def func3():
  my_list = [1,2]
  print (my_list[3])

def func2():
  func3()

def func1():
  func2()

try:
  func1()
except Exception as e:
  traceback.print_exc(limit=2)

This will print

Traceback (most recent call last):
  File "<ipython-input-44-496132ff4faa>", line 12, in <module>
    func1()
  File "<ipython-input-44-496132ff4faa>", line 9, in func1
    func2()
IndexError: list index out of range

As you can see, we have printed only 2 levels of the stack and skipped the 3rd one, just as we wanted!

You can do more things with traceback like formatting the output to suit your needs. If you are interested to learn even more things to do, refer to the official documentation on traceback here

Now that we have seen how to exercise control over what gets printed and how to format them, next let us have a look at some best practices on when to use which piece of information

Best Practices while Printing Exception messages

When to Use Which Piece

• Use Piece#1 only on very short programs and only during the development/testing phase to get some clues on the Exceptions without letting the interpreter crash your program. Once finding out, implement specific handlers to do something about these exceptions. If you are not sure how to handle the exceptions have a look at my other article below where I have explained 3 ways to handle Exceptions
  Exceptions in Python: Everything You Need To Know!
• Use Piece#2 to print out some friendly information either for yourself or for your user to inform them what exactly is happening.
• Use all 3 pieces on your finished product, so that if an exception ever occurs while your program is running on your client’s computer, you can log the errors and have use that information to fix your bugs.

Where to print

One point worth noting here is that the default file that print() uses is the stdout file stream and not the stderr stream. To use stderr instead, you can modify the code like this

import sys
try:
  #some naughty statements that irritate us with exceptions
except Exception as e:
  print(e, file=sys.stderr)

The above code is considered better practice, as errors are meant to go to stderr and not stdout.

You can always print these into a separate log file too if that is what you need. This way, you can organize the logs collected in a better manner by separating the informational printouts from the error printouts.

How to print into log files

If you are going to use a log file I suggest using python’s logging module instead of print() statements, as described here

If you are interested in learning how to manually raise exceptions, and what situations you might need to do that you can read this article below

Python: Manually throw/raise an Exception using the “raise” statement

If you are interested in catching and handling multiple exception in a single except clause, you can this article below

Python: 3 Ways to Catch Multiple Exceptions in a single “except” clause

And with that, I will conclude this article!
I hope you enjoyed reading this article and got some value out of it!
Feel free to share it with your friends and colleagues!

Watch Now This tutorial has a related video course created by the Real Python team. Watch it together with the written tutorial to deepen your understanding: Raising and Handling Python Exceptions

A Python program terminates as soon as it encounters an error. In Python, an error can be a syntax error or an exception. In this article, you will see what an exception is and how it differs from a syntax error. After that, you will learn about raising exceptions and making assertions. Then, you’ll finish with a demonstration of the try and except block.

>>> print( 0 / 0 ))
  File "<stdin>", line 1
    print( 0 / 0 ))
                  ^
SyntaxError: invalid syntax

>>> print( 0 / 0)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
ZeroDivisionError: integer division or modulo by zero

x = 10
if x > 5:
    raise Exception('x should not exceed 5. The value of x was: {}'.format(x))

Traceback (most recent call last):
  File "<input>", line 4, in <module>
Exception: x should not exceed 5. The value of x was: 10

import sys
assert ('linux' in sys.platform), "This code runs on Linux only."

Traceback (most recent call last):
  File "<input>", line 2, in <module>
AssertionError: This code runs on Linux only.

def linux_interaction():
    assert ('linux' in sys.platform), "Function can only run on Linux systems."
    print('Doing something.')

try:
    linux_interaction()
except:
    pass

try:
    linux_interaction()
except:
    print('Linux function was not executed')

Linux function was not executed

try:
    linux_interaction()
except AssertionError as error:
    print(error)
    print('The linux_interaction() function was not executed')

Function can only run on Linux systems.
The linux_interaction() function was not executed

try:
    with open('file.log') as file:
        read_data = file.read()
except:
    print('Could not open file.log')

try:
    with open('file.log') as file:
        read_data = file.read()
except FileNotFoundError as fnf_error:
    print(fnf_error)

[Errno 2] No such file or directory: 'file.log'

try:
    linux_interaction()
    with open('file.log') as file:
        read_data = file.read()
except FileNotFoundError as fnf_error:
    print(fnf_error)
except AssertionError as error:
    print(error)
    print('Linux linux_interaction() function was not executed')

Function can only run on Linux systems.
Linux linux_interaction() function was not executed

[Errno 2] No such file or directory: 'file.log'

try:
    linux_interaction()
except AssertionError as error:
    print(error)
else:
    print('Executing the else clause.')

Doing something.
Executing the else clause.

try:
    linux_interaction()
except AssertionError as error:
    print(error)
else:
    try:
        with open('file.log') as file:
            read_data = file.read()
    except FileNotFoundError as fnf_error:
        print(fnf_error)

Doing something.
[Errno 2] No such file or directory: 'file.log'

try:
    linux_interaction()
except AssertionError as error:
    print(error)
else:
    try:
        with open('file.log') as file:
            read_data = file.read()
    except FileNotFoundError as fnf_error:
        print(fnf_error)
finally:
    print('Cleaning up, irrespective of any exceptions.')

Function can only run on Linux systems.
Cleaning up, irrespective of any exceptions.

Watch Now This tutorial has a related video course created by the Real Python team. Watch it together with the written tutorial to deepen your understanding: Raising and Handling Python Exceptions

Sometimes, a Python script comes across an unusual situation that it can’t handle, and the program gets terminated or crashed. In this article, we’ll learn How to catch and print the exception messages in python. If you want to learn more about Python Programming, visit Python Tutorials.

The most common method to catch and print the exception message in Python is by using except and try statement. You can also save its error message using this method. Another method is to use logger.exception() which produces an error message as well as the log trace, which contains information such as the code line number at which the exception occurred and the time the exception occurred.

The most common example is a “FileNotFoundError” when you’re importing a file, but it doesn’t exist. Similarly, dividing a number by zero gives a “ZeroDivisionError” and displays a system-generated error message. All these run-time errors are known as exceptions. These exceptions should be caught and reported to prevent the program from being terminated.

In Python, exceptions are handled with the (try… except) statement. The statements which handle the exceptions are placed in the except block whereas the try clause includes the expressions which can raise an exception. Consider an example in which you take a list of integers as input from the user.

Example

# Creating an empty list
new_list =[]

n = int(input("Enter number of elements : "))

for i in range(n):

    item = int(input())

    # Add the item in the list
    new_list.append(item)

print(new_list)

The program shown above takes integers as input and creates a list of these integers. If the user enters any character, the program will crash and generate the following output.

Output:

Enter number of elements : 7
23
45
34
65
2a
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-1-ac783af2c9a3> in <module>()
      3 n = int(input("Enter number of elements : "))
      4 for i in range(n):
----> 5     item = int(input())
      6     # Add the item in the list
      7     new_list.append(item)

ValueError: invalid literal for int() with base 10: '2a'

USE except and try statement to CATCH ANd print the EXCEPTION AND SAVE ITS ERROR MESSAGEs

The first method to catch and print the exception messages in python is by using except and try statement. If the user enters anything except the integer, we want the program to skip that input and move to the next value. In this way, our program will not crash and will catch and print the exception message. This can be done using try and except statements. Inside the try clause, we’ll take input from the user and append it to “new_list” variable. If the user has entered any input except integers mistakenly, the except block will print “Invalid entry” and move towards the next value. In this way, the program continues to run and skip the invalid entries.

# Creating an empty list
new_list =[]

n = int(input("Enter number of elements : "))

for i in range(n):

  try:
    item = int(input())

    # Add the item in the list
    new_list.append(item)

  except:

    print("Invalid Input!")

    print("Next entry.")

print("The list entered by user is: ", new_list)

Output:

Enter number of elements : 7
65
43
23
4df
Invalid Input!
Next entry.
76
54
90
The list entered by user is:  [65, 43, 23, 76, 54, 90]

There are various methods to catch and report these exceptions using try and except block. Some of them are listed below along with examples.

Catching and reporting/Print exceptions messages in python

This is the second method to catch and print the exception messages in python. With the help of the print function, you can capture, get and print an exception message in Python. Consider an example in which you have a list containing elements of different data types. You want to divide all the integers by any number. This number on division with the string datatypes will raise “TypeError” and the program will terminate if the exceptions are not handled. The example shown below describes how to handle this problem by capturing the exception using the try-except block and reporting it using the print command.

EXAMPLE 3:

list_arr=[76,65,87,"5f","7k",78,69]

for elem in list_arr:

  try:

    print("Result: ", elem/9)

  except Exception as e:

    print("Exception occurred for value '"+ elem + "': "+ repr(e))

Output:

Result:  8.444444444444445
Result:  7.222222222222222
Result:  9.666666666666666
Exception occurred for value '5f': TypeError("unsupported operand type(s) for /: 'str' and 'int'")
Exception occurred for value '7k': TypeError("unsupported operand type(s) for /: 'str' and 'int'")
Result:  8.666666666666666
Result:  7.666666666666667

using try and logger.exception to print an error message

Another method is to use logger.exception() which produces an error message as well as the log trace, which contains information such as the code line number at which the exception occurred and the time the exception occurred. This logger.exception() method should be included within the except statement; otherwise, it will not function properly.

import logging

logger=logging.getLogger()

num1=int(input("Enter the number 1:"))

num2=int(input("Enter the number 2:"))

try: 

  print("Result: ", num1/num2)

except Exception as e:

  logger.exception("Exception Occured while code Execution: "+ str(e))

Output:

Enter the number 1:82
Enter the number 2:4
Result:  20.5

Suppose if a user enters 0 in the 2nd number, then this will raise a “ZeroDivisionError” as shown below.

Enter the number 1:9
Enter the number 2:0
Exception Occured while code Execution: division by zero
Traceback (most recent call last):
  File "<ipython-input-27-00694f615c2f>", line 11, in <module>
    print("Result: ", num1/num2)
ZeroDivisionError: division by zero

Similarly, if you’ve two lists consisting of integers and you want to create a list consisting of results obtained by dividing list1 with list2. Suppose you don’t know whether the two lists consist of integers or not.

EXAMPLE 5:

import logging

logger=logging.getLogger()

list1=[45, 32, 76, 43, 0, 76]

list2=[24, "world", 5, 0, 4, 6]

Result=[]

for i in range(len(list1)):

  try:

    Result.append(list1[i]/list2[i])

  except Exception as e:

    logger.exception("Exception Occured while code Execution: "+ str(e))

print(Result)

Output:

In this example, “world” in the 2nd index of list2 is a string and 32 on division with a string would raise an exception. But, we have handled this exception using try and except block. The logger.exception() command prints the error along with the line at which it occurred and then moves toward the next index. Similarly, all the values are computed and stored in another list which is then displayed at the end of the code.

Exception Occured while code Execution: unsupported operand type(s) for /: 'int' and 'str'
Traceback (most recent call last):
  File "<ipython-input-1-5a40f7f6c621>", line 8, in <module>
    Result.append(list1[i]/list2[i])
TypeError: unsupported operand type(s) for /: 'int' and 'str'
Exception Occured while code Execution: division by zero
Traceback (most recent call last):
  File "<ipython-input-1-5a40f7f6c621>", line 8, in <module>
    Result.append(list1[i]/list2[i])
ZeroDivisionError: division by zero
[1.875, 15.2, 0.0, 12.666666666666666]

The logger module has another function “logger.error()” which returns only an error message. The following example demonstrates how the logger.error() function may be used to capture exception messages in Python. In this example, we have just replaced logger.exception in the above example with logger.error() function

EXAMPLE 6:

import logging

logger=logging.getLogger()

list1=[45, 32,76,43,0, 76]

list2=[24, "world", 5, 0, 4, 6]

Result=[]

for i in range(len(list1)):

  try:

    Result.append(list1[i]/list2[i])

  except Exception as e:

    logger.error("Exception Occured while code Execution: "+ str(e))

print(Result)

Output:

Exception Occured while code Execution: unsupported operand type(s) for /: 'int' and 'str'
Exception Occured while code Execution: division by zero
[1.875, 15.2, 0.0, 12.666666666666666]

Catching and printing Specific Exceptions messages

The previous section was all about how to catch and print exceptions. But, how will you catch a specific exception such as Valueerror, ZeroDivisionError, ImportError, etc? There are two cases if you want to catch one specific exception or multiple specific exceptions. The following example shows how to catch a specific exception.

EXAMPLE 7:

a = 'hello'

b = 4

try:

    print(a + b)

except TypeError as typo:

    print(typo)

Output:

can only concatenate str (not "int") to str

Similarly, if you want to print the result of “a/b” also and the user enters 0 as an input in variable “b”, then the same example would not be able to deal with ZeroDivisionError. Therefore we have to use multiple Except clauses as shown below.

EXAMPLE 8:

a = 6

b = 0

try:

    print(a + b)

    print(a/b)

except TypeError as typo:

    print(typo)

except ZeroDivisionError as zer:

    print(zer)

Output:

The same code is now able to handle multiple exceptions.

6
division by zero

To summarize, all of the methods described above are effective and efficient. You may use any of the methods listed above to catch and print the exception messages in Python depending on your preferences and level of comfort with the method. If you’ve any queries regarding this article, please let us know in the comment section. Your feedback matters a lot to us.

Python comes with an extensive support of exceptions and exception handling. An exception event interrupts and, if uncaught, immediately terminates a running program. The most popular examples are the IndexError, ValueError, and TypeError.

An exception will immediately terminate your program. To avoid this, you can catch the exception with a try/except block around the code where you expect that a certain exception may occur. Here’s how you catch and print a given exception:

To catch and print an exception that occurred in a code snippet, wrap it in an indented try block, followed by the command "except Exception as e" that catches the exception and saves its error message in string variable e. You can now print the error message with "print(e)" or use it for further processing.

try:
    # ... YOUR CODE HERE ... #
except Exception as e:
    # ... PRINT THE ERROR MESSAGE ... #
    print(e)

Example 1: Catch and Print IndexError

If you try to access the list element with index 100 but your lists consist only of three elements, Python will throw an IndexError telling you that the list index is out of range.

try:
    lst = ['Alice', 'Bob', 'Carl']
    print(lst[3])
except Exception as e:
    print(e)

print('Am I executed?')

Your genius code attempts to access the fourth element in your list with index 3—that doesn’t exist!

Fortunately, you wrapped the code in a try/catch block and printed the exception. The program is not terminated. Thus, it executes the final print() statement after the exception has been caught and handled. This is the output of the previous code snippet.

list index out of range
Am I executed?

🌍 Recommended Tutorial: How to Print an Error in Python?

Example 2: Catch and Print ValueError

The ValueError arises if you try to use wrong values in some functions. Here’s an example where the ValueError is raised because you tried to calculate the square root of a negative number:

import math

try:
    a = math.sqrt(-2)
except Exception as e:
    print(e)

print('Am I executed?')

The output shows that not only the error message but also the string 'Am I executed?' is printed.

math domain error
Am I executed?

Example 3: Catch and Print TypeError

Python throws the TypeError object is not subscriptable if you use indexing with the square bracket notation on an object that is not indexable. This is the case if the object doesn’t define the __getitem__() method. Here’s how you can catch the error and print it to your shell:

try:
    variable = None
    print(variable[0])
except Exception as e:
    print(e)

print('Am I executed?')

The output shows that not only the error message but also the string 'Am I executed?' is printed.

'NoneType' object is not subscriptable
Am I executed?

I hope you’re now able to catch and print your error messages.

Summary

To catch and print an exception that occurred in a code snippet, wrap it in an indented try block, followed by the command "except Exception as e" that catches the exception and saves its error message in string variable e. You can now print the error message with "print(e)" or use it for further processing.

Where to Go From Here?

Enough theory. Let’s get some practice!

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Programmer Humor

Q: How do you tell an introverted computer scientist from an extroverted computer scientist?

A: An extroverted computer scientist looks at your shoes when he talks to you.

1. Capture Exception Message in Python Using logger.exception() Method
2. Capture Exception Message in Python Using logger.error() Method
3. Capture Exception Message in Python Using the print() Method

This tutorial will explain different ways to capture exception messages in Python. The exception handling is used to respond to the exceptions that occur during the execution of the program. It is important to handle exceptions; otherwise, a program will crash whenever some exception occurs.

The try ... except statement handles exceptions in Python. But we also need to capture the details of exception that occurs during the code execution, so that it can be solved. The various methods that can be used to capture the exception messages in Python are explained below.

Capture Exception Message in Python Using logger.exception() Method

The logger.exception() method returns an error message and the log trace, which includes the details like the code line number at which the exception has occurred. The logger.exception() method must be placed within except statement; otherwise, it will not work correctly in any other place.

The below code example demonstrates the proper use of the logger.exception() method with try ... except statement to capture the exception message in Python.

import logging

logger = logging.getLogger()

try:
    x = 1/0
except Exception as e:
    logger.exception('Exception occurred while code execution: ' + str(e))

Output:

Exception occurred while code execution: division by zero
Traceback (most recent call last):
  File "<ipython-input-27-912703271615>", line 5, in <module>
    x = 1/0
ZeroDivisionError: division by zero

Capture Exception Message in Python Using logger.error() Method

The logger.error() method returns the error message only whenever exceptions occur within the try block. The code example of how the logger.error() method can capture exception messages in Python is given below.

import logging

logger = logging.getLogger()

try:
    x = 1/0
except Exception as e:
    logger.error('Exception occurred while code execution: ' + str(e))

Output:

Exception occurred while code execution: division by zero

As we can notice in the above example, the str(e) method only gets the exception message from the exception e object and not the exception type.

The repr(e) method can be used to get the exception type along the exception message. The below code example demonstrate the use and output of the repr(e) method:

import logging
logger = logging.getLogger()
try:
    x = 1/0
except Exception as e:
    logger.error('Exception occurred while code execution: ' + repr(e))

Output:

Exception occurred while code execution: ZeroDivisionError('division by zero',)

Capture Exception Message in Python Using the print() Method

We can also use the print() method to print the exception message. The example code below demonstrates how to capture and print an exception message in Python using the print() method.

Example code:

try:
    x = 1/0
except Exception as e:
    print('Exception occurred while code execution: ' + repr(e))

Output:

Exception occurred while code execution: ZeroDivisionError('division by zero',)