numpy.polynomial.legendre.leggrid2d(x, y, c)

numpy.polynomial.legendre.legfit(x, y, deg, rcond=None, full=False, w=None)

Chebyshev.has_samedomain(other)

numpy.array_equal(a1, a2)

numpy.random.f(dfnum, dfden, size=None) Draw samples from an F distribution. Samples are drawn from an F distribution

numpy.core.defchararray.find(a, sub, start=0, end=None)

numpy.i0(x)

classmethod Laguerre.basis(deg, domain=None, window=None)

numpy.polynomial.laguerre.lagpow(c, pow, maxpower=16)

numpy.ma.swapaxes(self, *args, **params) a.swapaxes(axis1, axis2) = Return a view of the array with axis1 and axis2