numpy.polynomial.legendre.legval3d(x, y, z, c)

numpy.minimum(x1, x2[, out]) = Element-wise minimum of array elements. Compare two arrays and returns a new array containing

numpy.polynomial.legendre.legmul(c1, c2)

class numpy.lib.NumpyVersion(vstring)

numpy.remainder(x1, x2[, out]) = Return element-wise remainder of division. Computes the remainder complementary to the

ndarray.__ilshift__ x.__ilshift__(y) <==> x<<=y

masked_array.mask Mask

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

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

Laguerre.linspace(n=100, domain=None)