Move All Zeroes to End of Array using List Comprehension in Python Last Updated : 22 Jan, 2025 Summarize Comments Improve Suggest changes Share Like Article Like Report We will solve this problem in python using List Comprehension in a single line of code. This allows us to create a new list by iterating over an existing list in a concise and efficient manner. We can utilize list comprehension to separate the non-zero elements and zeros, then combine them together to achieve the desired result.We have existing solution for this problem please refer Move all zeroes to end of array. For example, consider the array [0, 1, 9, 0, 5, 0, 4]. The goal is to move all the zeroes to the end of the array, while keeping the order of the non-zero elements intact. The result of this operation would be [1, 9, 5, 4, 0, 0, 0], where the zeroes are shifted to the end and the relative order of 1, 9, 5, 4 is preserved. Python li = [1, 2, 0, 4, 3, 0, 5, 0] # to get non-zero elements first and then append zeros li = [nonZero for nonZero in li if nonZero != 0] + [zero for zero in li if zero == 0] print(li) Output[1, 2, 4, 3, 5, 0, 0, 0] Explanation:[nonZero for nonZero in arr if nonZero != 0] collects all non-zero elements from li .[zero for zero in arr if zero == 0] collects all zeros from li .+ operator concatenates these two lists, resulting in non-zero elements followed by zeros. Comment More infoAdvertise with us Next Article Appending Item to Lists of list using List Comprehension | Python S Shashank Mishra Improve Article Tags : Python python-list Python list-programs Practice Tags : pythonpython-list Similar Reads How to Create Array of zeros using Numpy in Python numpy.zeros() function is the primary method for creating an array of zeros in NumPy. It requires the shape of the array as an argument, which can be a single integer for a one-dimensional array or a tuple for multi-dimensional arrays. This method is significant because it provides a fast and memory 4 min read Move all zeroes to end of array using Two-Pointers Given an array of random numbers, Push all the zeroâs of the given array to the end of the array. For example, if the given arrays is {1, 0, 2, 6, 0, 4}, it should be changed to {1, 2, 6, 4, 0, 0}. The order of all other elements should be the same.Examples: Input: arr[]={8, 9, 0, 1, 2, 0, 3} Output 6 min read Appending Item to Lists of list using List Comprehension | Python If you are a Python user, you would know that in Python, we can use the append() method to add an item to an existing list. This list may already contain other items or be empty. Further, the item to be added can simply be a number a character, or even an entire tuple or list. However, if you are tr 5 min read Create a Numpy array filled with all zeros - Python In this article, we will learn how to create a Numpy array filled with all zeros, given the shape and type of array. We can use Numpy.zeros() method to do this task. Let's understand with the help of an example:Pythonimport numpy as np # Create a 1D array of zeros with 5 elements array_1d = np.zeros 2 min read Index of Non-Zero Elements in Python list We are given a list we need to find all indexes of Non-Zero elements. For example, a = [0, 3, 0, 5, 8, 0, 2] we need to return all indexes of non-zero elements so that output should be [1, 3, 4, 6].Using List ComprehensionList comprehension can be used to find the indices of non-zero elements by ite 2 min read Indexing Multi-dimensional arrays in Python using NumPy In this article, we will cover the Indexing of Multi-dimensional arrays in Python using NumPy. NumPy is a general-purpose array-processing package. It provides a high-performance multidimensional array object and tools for working with these arrays. It is the fundamental package for scientific compu 3 min read Like