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How to Copy NumPy array into another array?

• Last Updated : 05 Sep, 2020

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

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This function returns a new array with the same shape and type as a given array.

Syntax:

```numpy.empty_like(a, dtype = None, order = âKâ, subok = True)
```

Python3

 `# importing Numpy package``import` `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 array``print``(ary)`` ` `# Creating an empty Numpy array similar``# to ary``copy ``=` `np.empty_like(ary)`` ` `# Now assign ary to copy``copy[:] ``=` `ary`` ` `print``(``"\nCopy of the given array: "``)`` ` `# printing the copied array``print``(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 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:

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 package``import` `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 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:

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 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:

In the above example, the given Numpy array ‘org_array‘ is copied to another array ‘copy_array‘ using Assignment Operator.

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