Python NumPy ndarray.copy() Function

NumPy ndarray.copy() Function:

The ndarray.copy() function of the NumPy module returns a duplicate or copy of the array.

Syntax:

numpy.ndarray.copy(order='C')

Parameters

order: This is optional. It controls the memory layout of the copy. It can accept values from ‘C’, ‘F’, ‘A’, and ‘K’. The default value is ‘C’.

‘C’ – denotes the C order (row major).
‘F’ – stands for the F order (column major).
‘A’ – means F if a is Fortran contiguous, otherwise, it is C.
‘K’ – as closely as possible it matches the layout of a.

Return Value:

A duplicate/copy of the array is returned.

NumPy ndarray.copy() Function in Python

Example

Approach:

Import numpy module using the import keyword.
Pass the list(multi-dimensional) as an argument to the array() function to create an array.
Store it in a variable.
Copy the elements of the given first array into another using the copy() function.
Store it in a variable.
Print the id of the given original array using the id() function.
Print the given original array.
Print the id of the copied array using the id() function.
Print the copied array.
Modify some random element of the copied array.
Here it Modifies the element of the copied array but does not change the given original array.
Print the given original array after modification.
Print the copied array after modification.
The Exit of the Program.

Below is the implementation:

# Import numpy module using the import keyword
import numpy as np
# Pass the list(multi-dimensional) as an argument to the array() function to create an array.
# Store it in a variable.
gvn_arry = np.array([[10,11,12],
              [13,14,15]])

# Copy the elements of the given first array into another using the copy() function
# Store it in a variable.
arry_copy = gvn_arry.copy()

# Print the id of the given original array using the id() function
print("The id of the given original array = ", id(gvn_arry))
# Print the given original array.
print("The given original array:")
print(gvn_arry)

# Print the id of the copied array using the id() function
print("The id of the copied array = ", id(arry_copy))
# Print the copied array.
print("The copied array:")
print(arry_copy)

# Modify some random element of copied array.
# Here it Modifies the element of copied array but does not
# change the given original array
arry_copy[0,0] = 90
# Print the given original array after modification
print("The given original array after modification:")
print(gvn_arry)
# Print the copied array after modification.
print("The copied array after modification:")
print(arry_copy)

Output:

The id of the given original array = 140361216533248
The given original array:
[[10 11 12]
 [13 14 15]]
The id of the copied array = 140361216532528
The copied array:
[[10 11 12]
 [13 14 15]]
The given original array after modification:
[[10 11 12]
 [13 14 15]]
The copied array after modification:
[[90 11 12]
 [13 14 15]]

NumPy ndarray.copy() Function in Python

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