In this article, we will discuss how to add and subtract elements of the matrix in Python.

**Example:**

Suppose we have two matrices A and B. A = [[1,2],[3,4]] B = [[4,5],[6,7]] then we get A+B = [[5,7],[9,11]] A-B = [[-3,-3],[-3,-3]]

Now let us try to implement this using Python

**1. Adding elements of the matrix**

In the above code, we have used np.add() method to add elements of two matrices. If shape of two arrays are not same, that is arr1.shape != arr2.shape, they must be broadcastable to a common shape (which may be the shape of one or the other).

## Python3

`# importing numpy as np ` `import` `numpy as np ` ` ` ` ` `# creating first matrix ` `A ` `=` `np.array([[` `1` `, ` `2` `], [` `3` `, ` `4` `]]) ` ` ` `# creating second matrix ` `B ` `=` `np.array([[` `4` `, ` `5` `], [` `6` `, ` `7` `]]) ` ` ` `print` `(` `"Printing elements of first matrix"` `) ` `print` `(A) ` `print` `(` `"Printing elements of second matrix"` `) ` `print` `(B) ` ` ` `# adding two matrix ` `print` `(` `"Addition of two matrix"` `) ` `print` `(np.add(A, B)) ` |

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**Output:**

Printing elements of first matrix [[1 2] [3 4]] Printing elements of second matrix [[4 5] [6 7]] Addition of two matrix [[ 5 7] [ 9 11]]

**2. Subtracting elements of matrices**

In the above code, we have used np.subtract() to subtract elements of two matrices. It returns the difference of arr1 and arr2, element-wise.

## Python3

`# importing numpy as np ` `import` `numpy as np ` ` ` ` ` `# creating first matrix ` `A ` `=` `np.array([[` `1` `, ` `2` `], [` `3` `, ` `4` `]]) ` ` ` `# creating second matrix ` `B ` `=` `np.array([[` `4` `, ` `5` `], [` `6` `, ` `7` `]]) ` ` ` `print` `(` `"Printing elements of first matrix"` `) ` `print` `(A) ` `print` `(` `"Printing elements of second matrix"` `) ` `print` `(B) ` ` ` `# subtracting two matrix ` `print` `(` `"Subtraction of two matrix"` `) ` `print` `(np.subtract(A, B)) ` |

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**Output:**

Printing elements of first matrix [[1 2] [3 4]] Printing elements of second matrix [[4 5] [6 7]] Subtraction of two matrix [[-3 -3] [-3 -3]]

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