# numpy.matrix.flatten

method

matrix.flatten(order='C')

  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]])