numpy.polynomial.hermite_e.hermezero = array([0])

RandomState.poisson(lam=1.0, size=None) Draw samples from a Poisson distribution. The Poisson distribution

RandomState.gamma(shape, scale=1.0, size=None) Draw samples from a Gamma distribution. Samples are drawn

dtype.__reduce__()

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

numpy.where(condition[, x, y]) Return elements, either from x or y, depending on condition

MaskedArray.__rsub__(other)

MaskedArray.__divmod__(y) <==> divmod(x, y)

MaskedArray.__xor__ x.__xor__(y) <==> x^y

numpy.polynomial.chebyshev.chebgauss(deg)