I leave an exercise for you to re-write the previous example and remove all elements those are not numbers in the convert_list_new() function using the math.floor() function. Get access to the latest Difference Between Ceil function and Floor function in Python prepared with Programming course curated by undefined on Unacademy to.

$python floor function$

The syntax of list comprehension expressions 1 and 2 are different. I have well explained it in the previous example using for loop. I hope the above code snippet is well explained and doesn’t require any explanation. You should read the full article about this topic here. This is the power of list comprehension and of course, Python too. You never thought about that whole function can be converted in a single line. If isinstance(item, int) or isinstance(item, float): If isinstance(alist, int) or isinstance(alist, float): The IDs are same but after calling convert_list_modify() function, IDs of the object are not same. You can check the IDs of the list object before and after calling convert_list_modify() function. You can read more about mutable and immutable function parameter in this article. This is a natural behavior of mutable objects in Python. In this way, original object is modified. In the function convert_list_modify() of this example, we check, convert and replace it with an item in the original list object. convert_list_new() doesn’t modify the original list object instead it creates a new object as you can verify it from the ID of both objects. If an item can not be converted it simply appends None as a placeholder of an item to maintain the exact index of the original list. It appends all successfully converted items in a new list object using math.floor() function. It checks and converts all individual items of the list using math.floor() function. In the following code snippet of this example, convert_list_new() function takes an argument of type list.

Python floor function