Matrix

This module provides various matrix functions to facilitate matrix operations, including creation, manipulation, and advanced computations.

---

Table of Contents

• Description
• Functions and Methods
• Author Info

---

Description

This module allows you to create matrices using 2D arrays (lists in Python) and perform complex operations such as calculating determinants, inverses, and matrix arithmetic. It aims to save time and provide consistency in matrix operations.

Back To The Top

---

Functions and Methods

Class Methods

__init__(self, r, c)

Initializes the matrix with dimensions r x c, with all elements set to 0.

Example:

obj = Matrix(3, 3)

list(self)

Returns the matrix as a 2-D list.

Example:

lst99 = obj.list()

inputAdd(self)

Allows user input to modify the matrix elements.

Example:

obj.inputAdd()

listTomatrix(self, lst: list)

Converts a list into a matrix (self.matrix).

Example:

obj.listTomatrix([1, 2, 3, 4, 5, 6, 7, 8, 9])

printMatrix(self)

Prints the matrix using the Tabulate module.

Example:

obj.printMatrix()

transpose(self)

Returns the transpose of the matrix.

Returns:

• Matrix

Example:

obj2 = obj.transpose()

sizeMatrix(self)

Returns the dimensions of the matrix.

Returns:

• Tuple

Example:

tuple1 = obj.sizeMatrix()

matrixMultiplication(self, m2: Matrix)

Multiplies the current matrix with another matrix m2.

Returns:

• Matrix

Example:

obj3 = obj.matrixMultiplication(obj2)

matrixAddition(self, m2: Matrix)

Adds the current matrix to another matrix m2.

Returns:

• Matrix

Example:

obj4 = obj.matrixAddition(obj2)

matrixSubtraction(self, m2: Matrix)

Subtracts matrix m2 from the current matrix.

Returns:

• Matrix

Example:

obj4 = obj.matrixSubtraction(obj2)

matrixMultiplicationConstant(self, c: int or float)

Multiplies the matrix by a constant c.

Example:

obj.matrixMultiplicationConstant(5)

adj(self)

Returns the adjoint of the matrix.

Returns:

• Matrix

Example:

obj5 = obj.adj()

inverse(self)

Returns the inverse of the matrix.

Returns:

• Matrix

Example:

obj6 = obj.inverse()

mean(self)

Returns the mean of all elements in the matrix.

Returns:

• Float

Example:

float1 = obj.mean()

rowMeans(self)

Returns the mean of each row in the matrix.

Returns:

• Matrix

Example:

obj7 = obj.rowMeans()

colMeans(self)

Returns the mean of each column in the matrix.

Returns:

• Matrix

Example:

obj8 = obj.colMeans()

rowSum(self)

Returns the sum of each row in the matrix.

Returns:

• Matrix

Example:

obj9 = obj.rowSum()

colSum(self)

Returns the sum of each column in the matrix.

Returns:

• Matrix

Example:

obj10 = obj.colSum()

sum(self)

Returns the sum of all elements in the matrix.

Returns:

• Float or Int

Example:

var = obj.sum()

matrixDivision(self, m2: Matrix)

Divides the current matrix by the inverse of another matrix m2.

Returns:

• Matrix

Example:

obj11 = obj.matrixDivision(obj2)

Functions

diag(m1: Matrix or List)

Returns a diagonal matrix if m1 is a list, or a list of diagonal elements if m1 is a matrix.

Returns:

• Matrix or List

Example:

list1 = diag(obj)  # if obj is a Matrix
obj12 = diag([1, 2, 3, 4, 5, 6])  # if [1, 2, 3, 4, 5, 6] is a list

identity(m1: Matrix)

Returns an identity matrix.

Example:

obj13 = identity(obj)

determinant(m1: Matrix)

Returns the determinant of an N x N matrix.

Returns:

• Float or Int

Example:

det12 = determinant(obj)

Back To The Top

---

Author Info

• Instagram: prak_entech983
• YouTube: Prak EnTech

Back To The Top