numpy.polynomial.hermite_e.hermepow(c, pow, maxpower=16)

MaskedArray.argsort(axis=None, kind='quicksort', order=None, fill_value=None)

RandomState.dirichlet(alpha, size=None) Draw samples from the Dirichlet distribution. Draw size

numpy.ma.notmasked_contiguous(a, axis=None)

numpy.ma.clump_unmasked(a)

numpy.polynomial.hermite_e.hermesub(c1, c2)

numpy.polynomial.hermite_e.hermecompanion(c)

numpy.random.standard_gamma(shape, size=None) Draw samples from a standard Gamma distribution. Samples are

class numpy.lib.Arrayterator(var, buf_size=None)

numpy.triu(m, k=0)