numpy.ma.expand_dims(x, axis)

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

numpy.random.triangular(left, mode, right, size=None) Draw samples from the triangular distribution. The triangular

Chebyshev.has_sametype(other)

numpy.polynomial.polynomial.polyval(x, c, tensor=True)

RandomState.triangular(left, mode, right, size=None) Draw samples from the triangular distribution. The

numpy.ma.min(obj, axis=None, out=None, fill_value=None)

generic.imag imaginary part of scalar

numpy.polynomial.laguerre.lagdomain = array([0, 1])

MaskedArray.__hex__() <==> hex(x)