I defined the matrix a. Then I wrote an algorithm which turns the matrix a into a lower triangular matrix (I provided the programme below)
The algorithm does work because if I do "print(" ")" at the end of the algorithm I do receive a lower triangular matrix But when I do "print(a)" directly afterwards (so after the algorithm for the lower triangular matrix) I still receive the previous matrix a... and then it is not a lower triangular matrix. So I would like the matrix a to "permanently" be a lower triangular matrix, and not just whenever I use this algorithm (with the "print(" ")" at the end)
How can I sort of "change" the matrix a in a way that it stays a lower triangular matrix? I hope I expressed myself well.
Here is my python code:
import numpy as np
s = 5
#s is the number of columns and rows respectively#
a = np.array([[None]*s]*s)
print(a)
#I receive a matrix with 5 columns/rows respectively#
#Calculates number of rows and columns present in given matrix#
rows = len(a);
cols = len(a[0]);
if(rows != cols):
print("Matrix should be a square matrix");
else:
#Performs required operation to convert given matrix into lower triangular matrix
print("Lower triangular matrix: ");
for i in range(0, rows):
for j in range(0, cols):
if(j > i):
print("0"),
else:
print(a[i][j]),
print(" ");
#so far it works perfectly fine. If I use this algorithm I do receive a lower triangular matrix#
print(a)
#my wish was that now that I do print(a) again that it would print the matrix a but as a lower triangular matrix. because of the previous algorithm. but I get the same matrix as I did when I did "print(A)" for the first time.#type here