Linear Algebra, Math, Mathematics, Python, Jupyter Notebook.
a column vector and vice versa. The transpose A^T of the matrix A corresponds to the mirrored axes. If the matrix is a square matrix (same number of columns and rows) Create a matrix A and transpose it A = np.array([[1, 2], [3, 4], [5, 6]]) A array([[1, 2], [3, 4], [5, 6]]) A_t = A.T A_t array([[1,