Skip Iterations in a Python Loop

Skip Iterations in a Python Loop

  1. Use the try-except Statement With continue to Skip Iterations in a Python Loop
  2. Use the if-else Statement With continue to Skip Iterations in a Python Loop

This article explains different ways to skip the specific iterations of a loop in Python.

Sometimes, we have to deal with the requirements of performing some tasks repeatedly while skipping a few of them in between. For example, when you are running a loop and want to skip the part of that iteration that can throw an exception.

Use the try-except Statement With continue to Skip Iterations in a Python Loop

In Python, exceptions can be easily handled through a try-except statement. If you think that you may come across some exceptions during loop iterations, due to which the execution of the loop may stop, then you can use this statement.

List_A=[25, 30, 100, 600]
List_B= [5, 10, 0, 30]
Result=[]
for i, dividend in enumerate(List_A):
    try:
      # perform the task
      Result.append(dividend/List_B[i])
    except:
      # handle the exceptions
      continue
print(Result)

In the above code, we have two lists, and we want to divide List_A by List_B element by element.

In Python, when you divide a number by zero, the ZeroDivisionError occurs. Since List_B contains zero as a divisor, division by it will generate this error during loop execution.

So to avoid this error, we use the except block. The exception will be raised when the error occurs, and the except block will be executed.

The continue statement ignores any subsequent statements in the current loop iteration and returns to the top of the loop. This is how you can skip the loop iterations.

The above code generates the following output:

[5.0, 3.0, 20.0]

Use the if-else Statement With continue to Skip Iterations in a Python Loop

We can do the same task with an if-else statement and continue.

List_A=[25, 30, 100, 600]
List_B= [5, 10, 0, 30]
Result=[]
for i, dividend in enumerate(List_A):
  if List_B[i]!=0:
    Result.append(dividend/List_B[i])
  else:
    continue
print(Result)

This is a straightforward code. The difference between this solution and the try-except solution is that the former implementation already knows the condition for which the loop execution may get stopped.

Therefore, this condition can be explicitly coded to skip that iteration.

Output:

[5.0, 3.0, 20.0]

As a result of the above implementations, you can skip loop iteration on which error/exception may occur without the loop being halted.

Related Article - Python Loop

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  • Python While Loop User Input
  • The Next Item in Python for Loop
  • Async for Loop in Python
  • Retry a Loop in Python