Matrices can be created with the mat function. This 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.
Rows are delimited by a semicolon, values by a space. Call the
matfunction with the following string to create a matrix:A = np.mat('1 2 3; 4 5 6; 7 8 9') print "Creation from string", AThe matrix output should be the following matrix:
Creation from string [[1 2 3] [4 5 6] [7 8 9]]
Transpose the matrix with the
Tattribute, as follows:print "transpose A", A.T
The following is the transposed matrix:
transpose A [[1 4 7] [2 5 8] [3 6 9]]
The matrix can be inverted with the
Iattribute, as follows:print "Inverse A", A.I
The inverse matrix is printed as follows (be warned that this is a
O(n3)operation):Inverse A [[ -4.50359963e+15 9.00719925e+15 -4.50359963e+15] [ 9.00719925e+15 -1.80143985e...