How to Copy NumPy array into another array?
Last Updated :
10 Jan, 2024
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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 Array
There are various ways to copies created in NumPy arrays in Python, here we are discussing some generally used methods for copies created in NumPy arrays those are following.
- Using np.copy() Function
- Copy Given 2-D Array to Another Array
- Using Assignment Operator
Copy 1D Numpy Arrays into Another Using np.copy() Function
In the below example, the given Numpy array ‘org_array‘ is copied to another array ‘copy_array‘ using np.copy () function.
Python3
# importing Numpy package import numpy as np # Creating a numpy array using np.array() org_array = np.array([ 1.54 , 2.99 , 3.42 , 4.87 , 6.94 , 8.21 , 7.65 , 10.50 , 77.5 ]) print ( "Original array: " ) # printing the Numpy array print (org_array) # Now copying the org_array to copy_array # using np.copy() function copy_array = np.copy(org_array) print ( "\nCopied array: " ) # printing the copied Numpy array print (copy_array) |
Output:
Original array:
[ 1.54 2.99 3.42 4.87 6.94 8.21 7.65 10.5 77.5 ]
Copied array:
[ 1.54 2.99 3.42 4.87 6.94 8.21 7.65 10.5 77.5 ]
Copy Given 2-D Array to Another Array Using np.copy() Function
In this example, the given 2-D Numpy array ‘org_array‘ is copied to another array ‘copy_array‘ using np.copy () function.
Python3
# importing Numpy package import numpy as np # Creating a 2-D numpy array using np.array() org_array = np.array([[ 23 , 46 , 85 ], [ 43 , 56 , 99 ], [ 11 , 34 , 55 ]]) print ( "Original array: " ) # printing the Numpy array print (org_array) # Now copying the org_array to copy_array # using np.copy() function copy_array = np.copy(org_array) print ( "\nCopied array: " ) # printing the copied Numpy array print (copy_array) |
Output:
Original array:
[[23 46 85]
[43 56 99]
[11 34 55]]
Copied array:
[[23 46 85]
[43 56 99]
[11 34 55]]
NumPy Array Copy Using Assignment Operator
In the below example, the given Numpy array ‘org_array‘ is copied to another array ‘copy_array‘ using Assignment Operator.
Python3
# importing Numpy package import numpy as np # Create a 2-D Numpy array using np.array() org_array = np.array([[ 99 , 22 , 33 ], [ 44 , 77 , 66 ]]) # Copying org_array to copy_array # using Assignment operator copy_array = org_array # modifying org_array org_array[ 1 , 2 ] = 13 # checking if copy_array has remained the same # printing original array print ( 'Original Array: \n' , org_array) # printing copied array print ( '\nCopied Array: \n' , copy_array) |
Output:
Original Array:
[[99 22 33]
[44 77 13]]
Copied Array:
[[99 22 33]
[44 77 13]]