Time for action – creating matrices

The mat() function does not make a copy if the input is already a matrix or an ndarray. Calling this function is equivalent to calling matrix(data, copy=False). We will also demonstrate transposing and inverting matrices.

1. Rows are delimited by a semicolon and values by a space. Call the mat() function with the following string to create a matrix:

   A = np.mat('1 2 3; 4 5 6; 7 8 9')
   print("Creation from string", A)

   The matrix output should be the following matrix:

   Creation from string [[1 2 3]
    [4 5 6]
    [7 8 9]]
   

2. Transpose the matrix with the T attribute as follows:

   print("transpose A", A.T)

   The following is the transposed matrix:

   transpose A [[1 4 7]
    [2 5 8]
    [3 6 9]]
   

3. The matrix can be inverted with the I attribute as follows (see https://www.khanacademy.org/math/precalculus/precalc-matrices/inverting_matrices/v/inverse-matrix-part-1):

   print("Inverse A", A.I)

   The inverse matrix is printed as follows (be warned that...