def todense(self, order=None, out=None):
return np.asmatrix(self.toarray(order=order, out=out))<EOL>
Return a dense matrix representation of this matrix.

Parameters
----------
order : {'C', 'F'}, optional
    Whether to store multi-dimensional data in C (row-major)
    or Fortran (column-major) order in memory. The default
    is 'None', indicating the NumPy default of C-ordered.
    Cannot be specified in conjunction with the `out`
    argument.

out : ndarray, 2-dimensional, optional
    If specified, uses this array (or `numpy.matrix`) as the
    output buffer instead of allocating a new array to
    return. The provided array must have the same shape and
    dtype as the sparse matrix on which you are calling the
    method.

Returns
-------
arr : numpy.matrix, 2-dimensional
    A NumPy matrix object with the same shape and containing
    the same data represented by the sparse matrix, with the
    requested memory order. If `out` was passed and was an
    array (rather than a `numpy.matrix`), it will be filled
    with the appropriate values and returned wrapped in a
    `numpy.matrix` object that shares the same memory.