Problem with matrices between Python and Matlab

Hi everyone,

I'm starting with matlab and I would like tu use a matlab function in python (gflineq) to solve a linear equation. However, it doesn't work as matrices are not represented the same way in python and matlab. How can I edit my program in order to make it work ?

Thank you !!

[Rik]

Did you try creating the matrix as a vector and using reshape to make it the correct dimensions?

[Gautier]

Yes I tried but the problem was the same for vectors.

Answer 1

[Karthik]

Hello Gautier,

I Understand that you are trying to use MATLAB "gflineq" in python and are facing issues passing NumPy/Python based arrays to this function.

The following Example Code shows how we can pass python arrays to MATLAB gflineq function.

import matlab.engine 
import numpy as np 
# Start MATLAB engine 
eng = matlab.engine.start_matlab() 
# Define the matrix A and the vector b 
A = np.matrix([[1,0,0], 
              [1,1,1], 
              [1,1,1], 
              [0,1,1]]) 
b = matlab.double([[1], [0], [0], [1]])  # Make b a column vector 
# Convert A to MATLAB's double type 
A = matlab.double(A.tolist()) 
x= eng.gflineq(A, b) 
# Convert the output to NumPy arrays 
x = np.array(x) 
# Display the results 
print("x =", x) 

You can refer to the following links for more details:

Use MATLAB Arrays in Python - MATLAB & Simulink (mathworks.com)

Pass Data to MATLAB from Python - MATLAB & Simulink (mathworks.com)

Convert python numpy array to double - MATLAB Answers - MATLAB Central (mathworks.com)

Find particular solution of Ax = b over prime Galois field - MATLAB gflineq (mathworks.com)

Thanks,

Karthik.

[Gautier]

Thank you very much it helps me a lot 😊 Have a nice day !