How to print exception information in Python

try:

    print(10/0)

except ZeroDivisionError as msg:

    print("exception raised and its description is:", msg)

Output:

exception raised and its description is: division by zero

try with multiple except blocks:

👉The way of handling exception is varied from exception to exception.

👉Hence,we have to provide separate except block for every exception type.

👉That is, try with multiple except blocks is possible and recommended to use.

Example:

try:

    ------

    ------

    ------

except ZeroDivisionError:

    perform alternative arithmetic operations

except FileNotFoundError:

    use local file instead of remote file

👉If try with multiple except blocks available, then based on the raised exception, the corresponding except block will be executed.

Example: Multiple except blocks in Python

try:

    x = int(input("Enter First Number: "))

    y = int(input("Enter Second Number: "))

    print(x / y)

except ZeroDivisionError:

    print("Can't Divide with Zero")

except ValueError:

    print("please provide int value only")

Program Execution:

D:\Python3>py Multi.py

Enter First Number: 10

Enter Second Number: 5

2.0

D:\Python3>py Multi.py

Enter First Number: 10

Enter Second Number: 0

Can't Divide with Zero

D:\Python3>py Multi.py

Enter First Number: 10

Enter Second Number: five

please provide int value only

✅Note: If try has multiple except blocks, the order of the except blocks is important.

👉The Python interpreter always checks from top to bottom and executes the first matching except block.

Example 

1) try:

2) x = int(input("Enter First Number: "))

3) y = int(input("Enter Second Number: "))

4) print(x / y)

5) except ArithmeticError:

6) print("ArithmeticError")

7) except ZeroDivisionError:

8) print("ZeroDivisionError")

D:\Python3> py MulEx.py

Enter First Number: 5

Enter Second Number: 0

ArithmeticError

✅Note:

Since ZeroDivisionError is a subclass of ArithmeticError, the except ArithmeticError block will catch it first. That’s why exception order matters in Python.