In this Python tutorial, we will discuss **how to make a matrix in python**. Also, We will see these below topics as:

- What is the
**matrix in python**? - How to
**create a matrix in python**using user input - Create an empty matrix using NumPy in python
- How to create a matrix in python 3
- How to do matrix multiplication in python
- How to create a matrix using for loop in python
- How to create a matrix in Python using a list
- Multiply 8-rows, 1-column matrix and an 1-row, 8-column to get an 8-rows.

## What is the matrix in python?

- A
**Python matrix**is a two-dimensional rectangular array of data stored in rows and columns. - The horizontal entries in a matrix are called ‘rows’ and the vertical entries are called ‘columns’.
- If a matrix has r number of rows and c number of columns then the order of the matrix is given by
**r x****c**. - The data stored in the matrix can be strings, numbers, etc.
- In a matrix, data are arranged into rows and columns.
- Matrix is an important data structure for mathematical and scientific calculation.
- Python doesn’t have a built-in type for matrices, so we can treat a list of list as a matrix.

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## How to create a matrix in python using user input

Let’s see **how to create matrix in python**:

- In Python, there exists a popular library called
**NumPy**. - To work with NumPy, we need to install it. The command to install NumPy is
**‘pip install NumPy’**. - To make use of NumPy in code, we have to import it as ‘
**import NumPy as np’**. - Matrix is created using
**NumPy.matrix()**function. - We will take user input for matrix and then it will display a matrix in the output.

**Example:**

```
import numpy as np
a = int(input("Enter the number of rows:"))
b = int(input("Enter the number of columns:"))
print("Enter the number in a single line separated by space:")
val = list(map(int, input().split()))
matrix = np.array(val).reshape(a,b)
print(matrix)
```

After writing the above code (how to create a matrix in python using user input), Once you will print **“matrix” **then the output will appear as a **“[[2 4] [6 3]] ”**. Here, **np.array().reshape()** is used for printing the matrix.

You can refer to the below screenshot **how to create a matrix in python using user input**.

## Create an empty matrix using NumPy in python

Here, we will see **how to create an empty matrix using NumPy in python**.

To create an empty matrix, we will first **import NumPy as np** and then we will use **np.empty()** for creating an empty matrix.

**Example:**

```
import numpy as np
m = np.empty((0,0))
print(m)
```

After writing the above code (Create an empty matrix using NumPy in python), Once you will print **“m” **then the output will appear as a **“ [ ] ”**. Here, **np.empty()** matrix of 0 rows and 0 columns is used for creating an empty matrix in python.

You can refer to the below screenshot **create an empty matrix using NumPy in python**.

## How to create a matrix in python 3

We will **import numpy as np** first, and then a matrix is created using** numpy.matrix()**. In this way, a matrix can be created in python.

**Example:**

```
import numpy as np
m = np.matrix([[3, 4], [5, 2]])
print('Matrix is:\n', m)
```

After writing the above code (how to create a matrix in python 3), Once you will print **“m” **then the output will appear as a **“[[3 4] [5 2]] ”**. Here, **np.matrix()** is used for printing the matrix and it will return the matrix.

You can refer to the below screenshot **how to create a matrix in python 3**.

## How to do matrix multiplication in python

**Matrix multiplication** is an operation that takes two matrices as an input. To get element-wise multiplication, we can use the **np.multiply() **function.

**Example:**

```
import numpy as np
mat1 = np.matrix([[2, 5],[4, 1]])
mat2 = np.matrix([[6, 5],[4, 7]])
matrix_result = np.multiply(mat1, mat2)
print(matrix_result)
```

After writing the above code (how to do matrix multiplication in python), Once you will print **“matrix_result” **then the output will appear as a **“[[12 25] [16 7]] ”.** Here,** np.multiply() **is used for multiplying two matrices and it will produce a single matrix after multiplying.

You can refer to the below screenshot how to do matrix multiplication in python.

## How to create a matrix using for loop in python

Let us see **how to create a matrix using for loop in python**.

For creating a matrix using for loop we need to take user input. The matrix consists of lists that are created and assigned to columns and rows and the for loop is used for rows and columns.

**Example:**

```
c_size = int(input("Enter size of column: "))
r_size = int(input("Enter size of row: "))
x = []
y = []
for j in range(0, c_size):
y.append(0)
for i in range(0, r_size):
x.append(y)
print(x)
```

After writing the above code (how to create a matrix using for loop in python), Once you will print **“x” **then the output will appear as a **“[[0, 0, 0], [0, 0, 0], [0, 0, 0]]”.** Here, the user will enter the size of the row and column and it will append the column to each row. The matrix will be printed as an output.

You can refer to the below screenshot how to **create a matrix using for loop in python**.

## How to create a matrix in Python using a list

Let us see **how to create a matrix in Python using a list**?

We can create a matrix in Python using a nested list. Firstly we will **import NumPy** and then we can use **np.array()** using the list which will give the output as a matrix.

**Example:**

```
import numpy as np
mat = np.array([[1, 3, 2], [5, 6, 4]])
print(mat)
```

After writing the above code (how to create a matrix in Python using a list), Once you will print **“mat” **then the output will appear as a **“[[1 3 2] [5 6 4]]”.** Here, the np.array() is used for creating the matrix using a list and it will give the matrix as an output.

You can refer to the below screenshot of how to **create a matrix in Python using a list**

## Multiply 8-rows, 1-column matrix, and a 1-row, 8-column to get an 8-rows

In this section, we will learn how to Multiply 8-rows, 1-column matrix, and a 1-row, 8-column to get an 8-rows. Here is the pictorial representation of this topic.

- In the above image, we have 8 rows with 1 column that we have to multiply with 1 row with 8 columns.
- The main rule for matrix multiplication is “number of rows in first matrix must be equal to number of column s in second matrix” and in this case, that rule is satisfied so we can proceed with the multiplication now.
- Each element of first matrix will be multiplied with the each element of second matrix. Here is the illustration of multiplication on matrix in Python.

- There are mainly 3 ways of implementing matrix multiplication in Python.
**numpy.dot()**method- using
**@**operator on 2 matrices. **tf.matmul()**method in Tensorflow

- Numpy dot method is used to find the product of two arrays.
- There is a thin-line difference between array and matrices. So if you are seeing error while performing multiplication with other 2 methods then try
`numpy.dot()`

method. This will give you the right results without any error. - Here is the syntax for using
`numpy.dot()`

method in Python.

```
import numpy as np
np.dot(matrix1, matrix2)
```

- Here matrix1 and matrix2 are the matrices that are being multiplied with each other. We have not created them in the syntax, but they are available in below example.
- Other solution is by using ‘
**@**‘ operator in Python. ‘**@**‘ operator is used as a sign for matrix multiplication in Python. - Please note that it works only on matrices not on an array.
- Here is the syntax to use
**@**for matrix multiplication in Python.

`matrix1 @ matrix2`

- Third solution is using tensorflow. Tensorflow is an advance tool used with Python and R for advance calclulations.
- It has various built-in modules that accelerates the calculation of complex algorithms.
- If you are dealing with large matrices then you can reduce computation time using tensorflow module
**tf.matmul()**in python tensorflow. - Here is the syntax to perform matrix multiplication using Python Tensorflow

```
import tensorflow as tf
tf.matmul(matrix1, matrix2)
```

Here is the implementation of matrix multiplication of 1 row 8 columns and 8 rows 1 column on Python Jupyter Notebook.

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In this Python tutorial, we have learned about **how to make a matrix in python**. Also, We covered these below topics:

- What is the matrix in python?
- How to create a matrix in python using user input
- Create an empty matrix using NumPy in python
- How to create a matrix in python 3
- How to do matrix multiplication in python
- How to create a matrix using for loop in python
- How to create a matrix in Python using a list
- Multiply 8-rows, 1-column matrix and an 1-row, 8-column to get an 8-rows.

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