scitrix 0.1.3

Module to create Matrix and use Matrix Functions.

Matrix

This is a Module which can perform Matrix Functions.

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Table of Contents

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• Description
• Functions-Methods
• Author Info

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Description

Matrix can be Created using 2D Arrays (Lists in Python), but Complex Functions like Determinant(N X N), Inverse, Matrix Arithmetic Operations ... is Required. I hope this Module can save your time and effort as well as provide you with some consistency across your Matrix Journey.

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Functions-Methods

Methods List

init(self,r,c)

This method of the Class will initialize the class by creating a matrix A(r,c). And will create the matrix. All elements will be 0.

obj=Matrix(3,3)

list(self)

This method of the Class will return the 2-D list.

lst99 = obj.list()

inputAdd(self)

This Method of the Class will change the elements of the Matrix by User Input.

obj.inputAdd()

listTomatrix(self, lst:list)

This method of the Class converts the List Parameter to Matrix (self.matrix).

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

printMatrix(self)

This Method prints the Matrix using Tabulate Module.

obj.printMatrix()

transpose(self)

This Method Returns a Transpose of the Matrix (self.matrix).

Return Type -> Matrix

obj2 = obj.transpose()

sizeMatrix(self)

This Method returns the Dimensions of the Matrix.

Return Type -> Tuple

tuple1 = obj.sizeMatrix()

matrixMultiplicationConstant(self, int1 : int OR float)

This Method multiplies the Original Matrix with the Constant (int1).

A = A * c

obj.matrixMultiplicationConstant(5)

adj(self)

This Method returns the Adjoint of the Original Matrix.

Return Type - Matrix

obj5 = obj.adj()

inverse(self)

This Method returns the Inverse of the Original Matrix.

Return Type -> Matrix

obj6 = obj.inverse()

mean(self)

This Method returns the mean of the Original Matrix.

Return Type -> Float

float1 = obj.mean()

rowMeans(self)

This Method returns the mean of all rows of the Original Matrix.

Return Type -> Matrix

obj7 = obj.rowMeans()

colMeans(self)

This Method returns the mean of all columns of the Original Matrix.

Return Type -> Matrix

obj8 = obj.colMeans()

rowSum(self)

This Method returns the sum of all rows of the Original Matrix.

Return Type -> Matrix

obj9 = obj.colMeans()

colSum(self)

This Method returns the sum of all columns of the Original Matrix.

Return Type -> Matrix

obj10 = obj.colSum()

sum(self)

This Method returns the sum of all elements of the Matrix.

Return Type -> Float/Int

var = obj.sum()

orthogonalCheck(self)

This Method returns 1, if the Matrix is orthogonal and 0 if it is not.

Return Type -> Int

var = obj.orthogonalCheck()

trace(self)

This Method returns the sum of all diagonal elements of the Matrix.

Return Type -> Int/Float

var2 = obj.trace()

flatten(self)

This Method returns 1D list containing all elements, Row-Wise.

Return Type -> List

var2 = obj.flatten()

Functions List

matDiv(m1:Matrix, m2:Matrix)

This Method returns the Result of the Multiplication of 2 Matrices. Both Matrices are the Parameter Matrices, First is the Numerator Matrix and other is the Denominator Matrix (for which the inverse is calculated).

Return Type -> Matrix

C = A * B^-1

obj11 = obj.matDiv(obj, obj2)

matMul(m1:Matrix, m2:Matrix)

This method returns the Result of the Multiplication of 2 Matrices.

Return Type -> Matrix

C = A x B

obj3 = matMul(obj1, obj2)

matSum(m1:Matrix, m2:Matrix)

This Method returns the Result of the Addition of 2 Matrices. Return Type -> Matrix

C = A + B

obj4 = matSum(obj, obj2)

matSub(m1:Matrix, m2:Matrix)

This Method returns the Result of the Subtraction of 2 Matrices.

Return Type -> Matrix

C = A - B

obj4 = matSub(obj, obj2)

diag(m1 : Matrix OR List)

This Function returns the Diagonal Matrix if the parameter is a List, And Returns the List of all the Diagonal Elements of the Matrix if the parameter is a Matrix.

Return Type -> Matrix/List

list1 = diag(obj) OR obj12 = diag([1,2,3,4,5,6])

identity(m1:Matrix)

This Function returns an Identity Matrix.

obj13 = identity(obj)

determinant(m1:Matrix)

This Function returns the Deteminant of a Matrix (N x N).

Return Type -> Float/Int

det12 = determinant(obj)

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Author Info

• Instagram - prak_entech983
• Youtube - Prak EnTech

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