numpy.ma.choose(indices, choices, out=None, mode='raise')

numpy.ma.loads(strg)

Laguerre.degree()

numpy.polynomial.hermite.hermvander(x, deg)

chararray.flatten(order='C') Return a copy of the array collapsed into one dimension.

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

Note numpy.emath is a preferred alias for

HermiteE.roots()

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

Laguerre.truncate(size)