main5de.py

import pandas as pandas
import numpy as numpy
from scipy.linalg import eig

matrixA = numpy.array(pandas.read_csv("MatrixA.csv", sep =',', header = None, index_col = False))#.astype("float")
numberOfRows_MatrixA, numberOfColumns_MatrixA = matrixA.shape
print("Matrix A")
for i in range(numberOfRows_MatrixA):
    for j in range(numberOfColumns_MatrixA):
        space = ' '
        if(matrixA[i][j] < 0):
            space = ''
        print(space + format(numpy.round(matrixA[i][j], 2)), end = "\t")
    print(" ")
print(" ")
eigenValuesOfMatrixA, eigenVectorsOfMatrixA = eig(matrixA)
diagonalizedMatrix = numpy.zeros((numberOfRows_MatrixA, numberOfColumns_MatrixA))
for i in range(numberOfRows_MatrixA):
    diagonalizedMatrix[i][i] = eigenValuesOfMatrixA[i].real
print("Diagonalized Matrix")
for i in range(numberOfRows_MatrixA):
    for j in range(numberOfColumns_MatrixA):
        space = ' '
        if(diagonalizedMatrix[i][j] < 0):
            space = ''
        print(space + format(numpy.round(diagonalizedMatrix[i][j], 2)), end = "\t")
    print(" ")
print(" ")