`numpy.matrixlib.defmatrix:matrix.flatten`

Signature

def flatten(self, order = C)

Return a flattened copy of the matrix.

All N elements of the matrix are placed into a single row.

order : {'C', 'F', 'A', 'K'}, optional: 'C' means to flatten in row-major (C-style) order. 'F' means to flatten in column-major (Fortran-style) order. 'A' means to flatten in column-major order if m is Fortran contiguous in memory, row-major order otherwise. 'K' means to flatten m in the order the elements occur in memory. The default is 'C'.

y : matrix: A copy of the matrix, flattened to a (1, N) matrix where N is the number of elements in the original matrix.

m = np.matrix([[1,2], [3,4]])
m.flatten()
m.flatten('F')

✓

matrix([[1, 3, 2, 4]])