Python catch multiple exceptions

In this Python tutorial, we will learn Python catch multiple exceptions and also we will cover these topics:

• Python catching exceptions
• Python catch different exception types
• Python catch multiple exceptions in one line
• Python catch-all exceptions
• Python handle different exception types
• Catch multiple exceptions python3
• User-defined exceptions in python
• Customized Excepting classes

Python catch multiple exceptions

Now, we can see catch multiple exceptions in python.

• In this example, I have imported a module called math and declared a variable as integers, and assigned it as integers =[‘orange’,6,-8’apple’].
• The for loop is used for iteration and try is used. The try statement allows defining a block of code that tests the error while it is being executed.
• If any error occurs try will be skipped and except will execute. Here the error was ‘orange’ so the except executed as “The input is not supported“.
• Another input is -8 which was a negative number again except is executed as a number is not a positive integer and the error message is displayed.

Example:

import math
integers = ['orange',6,-8,'apple']
for number in integers:
    try:
        number_factorial = math.factorial(number)
    except TypeError:
        print("The input is not supported.")
    except ValueError:
        print( number," is not a positive integer.")

In the below screenshot, we can see the error message as the output:

You may also like Python Exceptions Handling and Python concatenate list with examples.

Python catching exceptions

Now, we can see catching exceptions in python.

• In this example, I have imported a module called sys and random and declared a variable as numberlist and assigned numberlist = [‘a’, 2, 2].
• The for loop is used for iteration and try block is used as the first number from the list is not an integer an error occurred.
• So except is executed as next entry and also it gives ValueError.
• The second number is taken and the addition operation performed and the result is displayed.
• The sys.exc_info is used to obtain exception information like formats of results and prints the text.

Example:

import sys
import random
numberlist = ['a', 2, 2]
for number in numberlist:
    try:
        print("The 1st number is", number)
        r = 1+int(number)
        break
    except:
        print("k", sys.exc_info()[0], "value.")
        print("Next entry.")
print("The addition of", number, "is", r)

Below screenshot shows the output:

Python catch different exception types

Now, we can see how to catch different exception types in python.

• In this example, I have imported a module called sys, and try block is used to identify the error.
• The division operation is performed, as the zero can’t be divided by any number ZeroDivisionError occur except is executed and “The zero can’t be divided” is displayed.
• The addition operation is performed as the input is given in the string format so the error is generated and as the exception is given as TypeError.
• So the except is executed and displayed as ‘The number is in the string format‘.

Example:

import sys
try:
   n = 0
   m = 2
   c = m/n
except(ZeroDivisionError) as e:
    print("The zero can't be divided")
try:
       n = 2
       m = '3'
       p = m+n
except TypeError:
    print('The number is in the string format')

You can refer to the below screenshot for the output:

Python catch multiple exceptions in one line

Now, we can see how to catch multi exception in one line in python.

• In this example, I have imported a module called sys, try block is used and declared a variable as a number.
• Here, number = number+’5′ and assigned multiple exceptions in one line in the except and except is executed.

Example:

import sys
try:
    number = 2
    number = number+'5'
except(TypeError, SyntaxError, ValueError)as e:
    print("The number is given in string format")

You refer to the below screenshot for the output:

Python catch-all exceptions

Now, we can see how to catch all exceptions in python.

• In this example, I have taken all exceptions by taking different except for different examples.
• I have used try block to check the errors and used excepts if the error is present excepts are executed.

Example:

try:
  print(python)
except NameError:
  print("python is not defined")
try:
    list = [1,2,3]
    print(list[5])
except IndexError as e:
    print(e)
print("index error")
try:
    from cv import numpy
except Exception:
    print("improper module")
try:
  print(hello)
except:
  print("hello is not defined")
finally:
  print(" The finally is executed")
try:
    print(chair)
except NameError:  
    print ("NameError:'cot' is not defined")
else:  
    print ("word found no error")

The below screenshot shows the output.

Python handle different exception types

Now, we can see how to handle different exception types in python.

• In this example, I have taken three different exception types as except ZeroDivisionError, except TypeError, and except Exception.
• I have used try block to check the errors and used excepts if the error is present excepts are executed.

Example:

try:
   n = 0
   m = 3
   c = m/n
except(ZeroDivisionError) as e:
    print("The zero can't be divided")
try:
       n = 2
       m = 'HEllo'
       p = m+n
except TypeError:
    print('The number is in the string format')
try:
    from cv import pandas
except Exception:
    print("improper module")

Below screenshot shows the output with examples that is having different excepts in it.

Catch multiple exceptions python3

Now, we can see how to Catch multiple exceptions python3.

• In this example, I have used multiple exceptions like except TypeError, except, except SyntaxError as e.
• All these multiple exceptions are used with different examples.
• I have used try block to check the errors and used excepts if the error is present excepts are executed.

Example:

try:
  print(x)
except TypeError:
  print("x is not defined")
except:
  print("Error")
try:
  print(a+b)
except:
  print("exception occured")
try:
  print(hello)
except SyntaxError as e:
  print("Invalid syntax")
except:
    print("Invalid syntax")

Below screenshot shows the output:

User-defined exceptions in python

Here, we can see User-defined exceptions in python.

• In this example, I have defined the class as class Number(Exception) and another two classes are to define exceptions to create two errors such as class SmallNumberError(Number).
• Another error is class LargeNumberError(Number), while a condition is true I have used try block, and if condition is not satisfied except is executed.

Example:

class Number(Exception):
    pass
class SmallNumberError(Number):
    pass
class LargeNumberError(Number):
    pass
number = 5
while True:
    try:
        Input = int(input("Enter a number: "))
        if Input < number:
            raise SmallNumberError
        elif Input > number:
            raise LargeNumberError
        break
    except SmallNumberError:
        print("The number is small")
        print()
    except LargeNumberError:
        print("The number is large")

When condition is not true the userdefined exception is executed. You can refer to the below screenshot for the output:

Customized Excepting classes

Now, we can see how to customized Excepting Classes in python.

• In this example, We have overridden the constructor of the Exception class to pass the arguments such as self, cash, message.
• Then constructor of the parent exception class is called by using self.message by using super(). The attribute self.cash is defined.
• To get the error message, I have written Cash is not in (2000, 1000) range.

Example:

class CashNotInRangeError(Exception):
      def __init__(self, cash, message="Cash is not in (2000, 1000) range"):
        self.cash = cash
        self.message = message
        super().__init__(self.message)
cash = int(input("Enter cash: "))
if not 2000 < cash < 1000:
    raise CashNotInRangeError(cash)

The below screenshot shows the ouput:

You may like the following python tutorials:

• What is a Python Dictionary + Create a dictionary in Python
• Python print without newline
• Python Dictionary Methods
• How to create a list in Python
• How to convert an integer to string in python
• How to concatenate strings in python
• How to split a string using regex in python
• Python intersection of sets

In this tutorial, we have learned about Python catch multiple exceptions, and also we have covered these topics:

• Python catching exceptions
• Python catch different exception types
• Python catch multiple exceptions in one line
• Python catch-all exceptions
• Python handle different exception types
• Catch multiple exceptions python3
• User-defined exceptions in python
• Customized Excepting classes