numpy.polynomial.hermite_e.hermedomain = array([-1, 1])

numpy.polynomial.chebyshev.chebline(off, scl)

RandomState.standard_cauchy(size=None) Draw samples from a standard Cauchy distribution with mode =

numpy.subtract(x1, x2[, out]) = Subtract arguments, element-wise.

numpy.apply_along_axis(func1d, axis, arr, *args, **kwargs)

class numpy.polynomial.polynomial.Polynomial(coef, domain=None, window=None)

numpy.ma.clump_masked(a)

Laguerre.truncate(size)

numpy.ma.arange([start, ]stop, [step, ]dtype=None) = Return evenly spaced values within a given interval. Values are generated

numpy.geterrobj() Return the current object that defines floating-point error handling. The error object contains all