I'm currently translating my matlabcode to python and i have a line in Matlab like
X = VectorA/VectorB;
with x being a single scalar value and VectorA and VectorB are each arrays with the size 1x1750. But i can't manage to translate this into python code, I know it's a linear equation system that should work via numpy.linalg.solve(a, b) in python, but it wants b to be a square matrix and doesnt work. Whether I'm not using the correct function and/or mess up the syntax, in dont know.
Can you guys help me in this?
I think you might be looking for np.linalg.lstsq (https://numpy.org/doc/stable/reference/generated/numpy.linalg.lstsq.html#numpy.linalg.lstsq).
a = np.ndarray((2,1), buffer=np.array([1, 2, 3]), dtype=int)
b = np.ndarray((2,1), buffer=np.array([2, 4, 6]), dtype=int)
# Solve for X = b/a, or a * X = b
X, resid, rank, s = np.linalg.lstsq(a, b, rcond=None) # X = array([[2.]])