# NumPy Matrix Subtraction

This tutorial will discuss the method to perform matrix subtraction operation in NumPy.

## NumPy Matrix Subtraction With the `-`

Operator

The infix subtraction operator `-`

can be used to perform matrix subtraction in NumPy.

```
import numpy as np
matA = np.matrix([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
matB = np.matrix([[9, 8, 7], [6, 5, 4], [3, 2, 1]])
matC = matA - matB
print(matC)
```

Output:

```
[[-8 -6 -4]
[-2 0 2]
[ 4 6 8]]
```

We subtracted the matrix `matB`

from the matrix `matB`

with the `-`

operator in the above code. We first created the two matrices with the `np.matrix()`

function. We then performed matrix subtraction and saved the result inside the matrix `matC`

with `matC = matA - matB`

.

We can also perform the same subtraction using 2D arrays with the `np.array()`

instead of matrices. The following code example shows how to perform matrix subtraction using 2-dimensional arrays.

```
import numpy as np
matA = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
matB = np.array([[9, 8, 7], [6, 5, 4], [3, 2, 1]])
matC = matA - matB
print(matC)
```

Output:

```
[[-8 -6 -4]
[-2 0 2]
[ 4 6 8]]
```

The above code gives the same result as the previous example because there is no difference in the `-`

operator working with matrices and 2D arrays. It is because the `np.matix`

is a subclass of `np.ndarray`

.

**Muhammad Maisam Abbas**

Maisam is a highly skilled and motivated Data Scientist. He has over 4 years of experience with Python programming language. He loves solving complex problems and sharing his results on the internet.

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