(self, reference_frame)
return Matrix([self.dot(unit_vec) for unit_vec in
                       reference_frame]).reshape(3, 1)
Returns the matrix form of the vector with respect to the given
        frame.

        Parameters
        ----------
        reference_frame : ReferenceFrame
            The reference frame that the rows of the matrix correspond to.

        Returns
        -------
        matrix : ImmutableMatrix, shape(3,1)
            The matrix that gives the 1D vector.

        Examples
        --------

        >>> from sympy import symbols
        >>> from sympy.physics.vector import ReferenceFrame
        >>> from sympy.physics.mechanics.functions import inertia
        >>> a, b, c = symbols('a, b, c')
        >>> N = ReferenceFrame('N')
        >>> vector = a * N.x + b * N.y + c * N.z
        >>> vector.to_matrix(N)
        Matrix([
        [a],
        [b],
        [c]])
        >>> beta = symbols('beta')
        >>> A = N.orientnew('A', 'Axis', (beta, N.x))
        >>> vector.to_matrix(A)
        Matrix([
        [                         a],
        [ b*cos(beta) + c*sin(beta)],
        [-b*sin(beta) + c*cos(beta)]])
Returns the matrix form of the vector with respect to the given
        frame.
Returns the matrix form of the vector with respect to the given frame .
def to_matrix(self, reference_frame):
        """Returns the matrix form of the vector with respect to the given
        frame.

        Parameters
        ----------
        reference_frame : ReferenceFrame
            The reference frame that the rows of the matrix correspond to.

        Returns
        -------
        matrix : ImmutableMatrix, shape(3,1)
            The matrix that gives the 1D vector.

        Examples
        --------

        >>> from sympy import symbols
        >>> from sympy.physics.vector import ReferenceFrame
        >>> from sympy.physics.mechanics.functions import inertia
        >>> a, b, c = symbols('a, b, c')
        >>> N = ReferenceFrame('N')
        >>> vector = a * N.x + b * N.y + c * N.z
        >>> vector.to_matrix(N)
        Matrix([
        [a],
        [b],
        [c]])
        >>> beta = symbols('beta')
        >>> A = N.orientnew('A', 'Axis', (beta, N.x))
        >>> vector.to_matrix(A)
        Matrix([
        [                         a],
        [ b*cos(beta) + c*sin(beta)],
        [-b*sin(beta) + c*cos(beta)]])

        """

        return Matrix([self.dot(unit_vec) for unit_vec in
                       reference_frame]).reshape(3, 1)
def to_matrix ( self , reference_frame ) : return Matrix ( [ self . dot ( unit_vec ) for unit_vec in reference_frame ] ) . reshape ( 3 , 1 )