Many times there is a need to copy one array to another. Numpy provides the facility to copy array using different methods. There are 3 methods to copy a Numpy array to another array.
Method 1: Using np.empty_like() function
This function returns a new array with the same shape and type as a given array.
Syntax:
numpy.empty_like(a, dtype = None, order = ‘K’, subok = True)
Python3
# importing Numpy packageimport numpy as np # Creating a numpy array using np.array()ary = np.array([13, 99, 100, 34, 65, 11, 66, 81, 632, 44]) print("Original array: ") # printing the Numpy arrayprint(ary) # Creating an empty Numpy array similar# to arycopy = np.empty_like(ary) # Now assign ary to copycopy[:] = ary print("\nCopy of the given array: ") # printing the copied arrayprint(copy) |
Output:
In the above example, the given Numpy array ‘ary‘ is copied to another array ‘copy‘ using np.empty_like () function
Method 2: Using np.copy() function
This function returns an array copy of the given object.
Syntax :
numpy.copy(a, order='K', subok=False)
Example 1:
Python3
# importing Numpy packageimport 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 arrayprint(org_array) # Now copying the org_array to copy_array# using np.copy() functioncopy_array = np.copy(org_array) print("\nCopied array: ") # printing the copied Numpy arrayprint(copy_array) |
Output:
In the above example, the given Numpy array ‘org_array‘ is copied to another array ‘copy_array‘ using np.copy () function
Example 2: Copy given 3-D array to another array using np.copy() function
Python3
# importing Numpy packageimport numpy as np # Creating a 3-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 arrayprint(org_array) # Now copying the org_array to copy_array# using np.copy() functioncopy_array = np.copy(org_array) print("\nCopied array: ") # printing the copied Numpy arrayprint(copy_array) |
Output:
In the above example, the given 3-D Numpy array ‘org_array‘ is copied to another array ‘copy_array‘ using np.copy () function
Method 3: Using Assignment Operator
Python3
# importing Numpy packageimport 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 operatorcopy_array = org_array # modifying org_arrayorg_array[1, 2] = 13 # checking if copy_array has remained the same # printing original arrayprint('Original Array: \n', org_array) # printing copied arrayprint('\nCopied Array: \n', copy_array) |
Output:
In the above example, the given Numpy array ‘org_array‘ is copied to another array ‘copy_array‘ using Assignment Operator.
