numpy.ndarray.copy() returns a copy of the array.
Syntax : numpy.ndarray.copy(order=āCā)
Parameters:
order : Controls the memory layout of the copy. āCā means C-order, āFā means F-order, āAā means āFā if a is Fortran contiguous, āCā otherwise. āKā means match the layout of a as closely as possible.
Code #1:
# Python program explainingĀ Ā # numpy.ndarray.copy() function Ā Ā import numpy as geek Ā Ā Ā Ā x = geek.array([[0, 1, 2, 3], [4, 5, 6, 7]], Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā order ='F') print("x is: \n", x) Ā Ā # 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 y
Ā
Code #2:
# Python program explainingĀ Ā # numpy.ndarray.copy() function Ā Ā import numpy as geek Ā Ā Ā Ā x = geek.array([[0, 1, ], [2, 3]]) print("x is:\n", x) Ā Ā # copying x to y y = x.copy() Ā Ā # filling x with 1's x.fill(1) print("\n Now x is : \n", x) Ā Ā print("\n y is: \n", y) |
Output:
x is: [[0 1] [2 3]] Now x is : [[1 1] [1 1]] y is: [[0 1] [2 3]]
