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How to build an array of all combinations of two NumPy arrays?
• Last Updated : 05 Sep, 2020

Sometimes we need to find the combination of elements of two or more arrays. Numpy has a function to compute the combination of 2 or more Numpy arrays named as “numpy.meshgrid()“. This function is used to create a rectangular grid out of two given one-dimensional arrays representing the Cartesian indexing or Matrix indexing.

Syntax:

```numpy.meshgrid(*xi, copy=True, sparse=False, indexing='xy')
```

Example 1: Computing combinations of elements of Two NumPy arrays

## Python3

 `# importing Numpy package``import` `numpy as np`` ` `# creating 2 numpy arrays``array_1 ``=` `np.array([``1``, ``2``])``array_2 ``=` `np.array([``4``, ``6``])`` ` `print``(``"Array-1"``)``print``(array_1)`` ` `print``(``"\nArray-2"``)``print``(array_2)`` ` `# combination of elements of array_1 and array_2``# using numpy.meshgrid().T.reshape()``comb_array ``=` `np.array(np.meshgrid(array_1, array_2)).T.reshape(``-``1``, ``2``)`` ` `print``(``"\nCombine array:"``)``print``(comb_array)`

Output:

In the above example, we combine elements of ‘array_1‘ and ‘array_2‘ using numpy.meshgrid().T.reshape()

Example 2: Computing combinations of elements of Three NumPy arrays

## Python3

 `# importing Numpy package``import` `numpy as np`` ` `# creating 3 numpy arrays``array_1 ``=` `np.array([``1``, ``2``, ``3``])``array_2 ``=` `np.array([``4``, ``6``, ``4``])``array_3 ``=` `np.array([``3``, ``6``])`` ` `print``(``"Array-1"``)``print``(array_1)`` ` `print``(``"Array-2"``)``print``(array_2)`` ` `print``(``"Array-3"``)``print``(array_3)`` ` ` ` `# combination of elements of array_1,``# array_2 and array_3 using ``# numpy.meshgrid().T.reshape()``comb_array ``=` `np.array(``  ``np.meshgrid(array_1, array_2, array_3)).T.reshape(``-``1``, ``3``)`` ` `print``(``"\nCombine array:"``)``print``(comb_array)`

Output:

In the above example, we combine elements of ‘array_1‘, ‘array_2‘ and ‘array_3‘ using numpy.meshgrid().T.reshape()

Example 3: Computing combinations of elements of Four NumPy arrays

## Python3

 `# importing Numpy package``import` `numpy as np`` ` `# creating 4 numpy arrays``array_1 ``=` `np.array([``50``, ``21``])``array_2 ``=` `np.array([``4``, ``4``])``array_3 ``=` `np.array([``1``, ``10``])``array_4 ``=` `np.array([``7``, ``14``])`` ` ` ` `print``(``"Array-1"``)``print``(array_1)`` ` `print``(``"Array-2"``)``print``(array_2)`` ` `print``(``"Array-3"``)``print``(array_3)`` ` `print``(``"Array-4"``)``print``(array_4)`` ` ` ` `# combination of elements of array_1, ``# array_2, array_3 and array_4``# using numpy.meshgrid().T.reshape()``comb_array ``=` `np.array(np.meshgrid(``    ``array_1, array_2, array_3, array_4)).T.reshape(``-``1``, ``4``)`` ` `print``(``"\nCombine array:"``)``print``(comb_array)`

Output:

In the above example, we combine elements of ‘array_1‘, ‘array_2‘, ‘array_3‘ and ‘array_4‘ using numpy.meshgrid().T.reshape()

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