How to copy numpy arrays into another array using numpy.copy() function

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In this article, you will learn how to copy numpy arrays into another array using numpy.copy() function

Syntax: numpy.copy(a, order=’K’)
Return an array copy of the given object.

Parameters:
a : array_like
Input data.

order : {‘C’, ‘F’, ‘A’, ‘K’}, optional
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 possible. (Note that this function and ndarray.copy are very similar, but have different default values for their order= arguments.)

Returns:
arr : ndarray
Array interpretation of a.

import numpy as np a = np.array([1, 2, 3, 4]) b = np.copy(a) print(b)




Output:

[1 2 3 4]

 

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