NumPy ndarray.copy() Method | Make Copy of a Array Last Updated : 05 Feb, 2024 Comments Improve Suggest changes Like Article Like Report The ndarray.copy() method returns a copy of the array. It is used to create a new array that is a copy of an existing array but does not share memory with it. This means that making any changes to the original array won't affect the existing array. Example Python3 # Python program explaining # numpy.ndarray.copy() function import numpy as geek x = geek.array([[0, 1, 2, 3], [4, 5, 6, 7]], order ='F') print("x is: \n", x) # copying x to y y = x.copy() print("y is :\n", y) print("\nx is copied to y") Output x is: [[0 1 2 3] [4 5 6 7]]y is : [[0 1 2 3] [4 5 6 7]]x is copied to ySyntax Syntax: numpy.ndarray.copy(order='C') Parameters: Order : Controls the memory layout of the copy. 'C' means C-order, 'F' means F-order, 'A' means 'F' if a is Fortran contiguous, 'C' otherwise'K' means match the layout of a as closely as possibleReturns: Copy of an Array How to make a copy of a NumPy arrayTo make a copy of a NumPy array in Python, we use ndarray.copy method of the NumPy library Let us understand it better with an example: Example: Make a Copy of ndarray Python3 import numpy as geek x = geek.array([[0, 1, ], [2, 3]]) print("x is:\n", x) # copying x to y y = x.copy() # filling x with 1's x.fill(1) print("\n Now x is : \n", x) print("\n y is: \n", y) Outputx is: [[0 1] [2 3]] Now x is : [[1 1] [1 1]] y is: [[0 1] [2 3]] Comment More infoAdvertise with us Next Article NumPy ndarray.copy() Method | Make Copy of a Array A ArkadipGhosh Follow Improve Article Tags : Python Python-numpy Python numpy-ndarray Practice Tags : python Similar Reads How to Copy NumPy array into another array? Many times there is a need to copy one array to another. Numpy provides the facility to copy array using different methods. In this Copy NumPy Array into Another ArrayThere are various ways to copies created in NumPy arrays in Python, here we are discussing some generally used methods for copies cre 2 min read Python | Numpy ndarray.__array__() With the help of ndarray.__array__() method, we can create a new array as we want by giving a parameter as dtype and we can get a copy of an array that doesn't change the data element of original array if we change any element in the new one. Syntax : ndarray.__array__() Return : Returns either a ne 1 min read NumPy Copy and View of Array While working with NumPy, you might have seen some functions return the copy whereas some functions return the view. The main difference between copy and view is that the copy is the new array whereas the view is the view of the original array. 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