numpy.matrix.flatten

method

matrix.flatten(self, order='C') [source]

Return a flattened copy of the matrix.

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

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

See also

ravel

Return a flattened array.

flat

A 1-D flat iterator over the matrix.

Examples

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