Reshaping array dimensions in Julia | Array reshape() Method Last Updated : 12 Jul, 2025 Comments Improve Suggest changes Like Article Like Report The reshape() is an inbuilt function in julia which is used to return an array with the same data as the specified array, but with different specified dimension sizes. Syntax: reshape(A, dims) Parameters: A: Specified array. dims: Specified dimension. Returns: It returns an array with the same data as the specified array, but with different specified dimension sizes. Example 1: Python # Julia program to illustrate # the use of Array reshape() method # Getting an array with the same data # as the specified 1D array, but with # (2 * 2) dimension sizes. A = [1, 2, 3, 4]; println(reshape(A, (2, 2))) # Getting an array with the same data # as the specified 2D array, but with # (4 * 4) dimension sizes. B = [1 2 3 4; 5 6 7 8; 9 10 11 12; 13 14 15 16]; println(reshape(B, (4, 4))) # Getting an array with the same data # as the specified 2D array, but with # (2 * 8) dimension sizes. C = [1 5 9 13; 2 6 10 14; 3 7 11 15; 4 8 12 16]; println(reshape(C, 2, :)) Output: Example 2: Python # Julia program to illustrate # the use of Array reshape() method # Getting an array with the same data # as the specified 1D array, but with # (2 * 2) dimension sizes. A = ["a", "b", "c", "d"]; println(reshape(A, (2, 2))) # Getting an array with the same data # as the specified 2D array, but with # (2 * 2) dimension sizes. B = ["a" "b"; "c" "d"]; println(reshape(B, (2, 2))) # Getting an array with the same data # as the specified 3D array, but with # (2 * 2*3) dimension sizes. C = cat(["a" "b"; "c" "d"], ["e" "f"; "g" "h"], ["i" "j"; "k" "l"], dims = 3); println(reshape(C, (2, 2, 3))) Output: Create Quiz Comment K Kanchan_Ray Follow 0 Improve K Kanchan_Ray Follow 0 Improve Article Tags : Julia Julia Array-functions Explore DSA Tutorial - Learn Data Structures and Algorithms 6 min read System Design Tutorial 3 min read Aptitude Questions and Answers 3 min read Web Development Technologies 6 min read AI, ML and Data Science Tutorial 3 min read DevOps Tutorial 5 min read Like