  numpy.polynomial.polynomial.polyroots
    numpy.polynomial.legendre.legroots
    numpy.polynomial.chebyshev.chebroots
    numpy.polynomial.hermite.hermroots
    numpy.polynomial.hermite_e.hermeroots

    Notes
    -----
    The root estimates are obtained as the eigenvalues of the companion
    matrix, Roots far from the origin of the complex plane may have large
    errors due to the numerical instability of the series for such
    values. Roots with multiplicity greater than 1 will also show larger
    errors as the value of the series near such points is relatively
    insensitive to errors in the roots. Isolated roots near the origin can
    be improved by a few iterations of Newton's method.

    The Laguerre series basis polynomials aren't powers of `x` so the
    results of this function may seem unintuitive.

    Examples
    --------
    >>> from numpy.polynomial.laguerre import lagroots, lagfromroots
    >>> coef = lagfromroots([0, 1, 2])
    >>> coef
    array([  2.,  -8.,  12.,  -6.])
    >>> lagroots(coef)
    array([-4.4408921e-16,  1.0000000e+00,  2.0000000e+00])

    r