# Matrix Multiplication in NumPy

• Last Updated : 02 Sep, 2020

Let us see how to compute matrix multiplication with NumPy. We will be using the numpy.dot() method to find the product of 2 matrices.

```For example, for two matrices A and B.
A = [[1, 2], [2, 3]]
B = [[4, 5], [6, 7]]

So, A.B = [[1*4 + 2*6, 2*4 + 3*6], [1*5 + 2*7, 2*5 + 3*7]
So the computed answer will be: [[16, 26], [19, 31]]
```

In Python numpy.dot() method is used to calculate the dot product between two arrays.

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Example 1 : Matrix multiplication of 2 square matrices.

 `# importing the module``import` `numpy as np`` ` `# creating two matrices``p ``=` `[[``1``, ``2``], [``2``, ``3``]]``q ``=` `[[``4``, ``5``], [``6``, ``7``]]``print``(``"Matrix p :"``)``print``(p)``print``(``"Matrix q :"``)``print``(q)`` ` `# computing product``result ``=` `np.dot(p, q)`` ` `# printing the result``print``(``"The matrix multiplication is :"``)``print``(result)`

Output :

```Matrix p :
[[1, 2], [2, 3]]
Matrix q :
[[4, 5], [6, 7]]
The matrix multiplication is :
[[16 19]
[26 31]]
```

Example 2 : Matrix multiplication of 2 rectangular matrices.

 `# importing the module``import` `numpy as np`` ` `# creating two matrices``p ``=` `[[``1``, ``2``], [``2``, ``3``], [``4``, ``5``]]``q ``=` `[[``4``, ``5``, ``1``], [``6``, ``7``, ``2``]]``print``(``"Matrix p :"``)``print``(p)``print``(``"Matrix q :"``)``print``(q)`` ` `# computing product``result ``=` `np.dot(p, q)`` ` `# printing the result``print``(``"The matrix multiplication is :"``)``print``(result)`

Output :

```Matrix p :
[[1, 2], [2, 3], [4, 5]]
Matrix q :
[[4, 5, 1], [6, 7, 2]]
The matrix multiplication is :
[[16 19  5]
[26 31  8]
[46 55 14]]
```

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