numpy.seterrcall(func)

Arrayterator.flat A 1-D flat iterator for Arrayterator objects. This iterator returns elements of the array

numpy.testing.assert_array_almost_equal(x, y, decimal=6, err_msg='', verbose=True)

MaskedArray.cumprod(axis=None, dtype=None, out=None)

numpy.random.binomial(n, p, size=None) Draw samples from a binomial distribution. Samples are drawn from a binomial

numpy.random.power(a, size=None) Draws samples in [0, 1] from a power distribution with positive exponent a - 1. Also

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

HermiteE.degree()

MaskedArray.cumsum(axis=None, dtype=None, out=None)

Legendre.integ(m=1, k=[], lbnd=None)