numpy.ndarray.copy() in Python

numpy.ndarray.copy() returns a copy of the array.

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 possible.

Code #1:

# 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 y

Code #2:

# Python program explaining   
# numpy.ndarray.copy() function 
  
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) 

Output:

x is:
 [[0 1]
 [2 3]]

 Now x is : 
 [[1 1]
 [1 1]]

 y is: 
 [[0 1]
 [2 3]]

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