numpy.hypot(x1, x2[, out]) = Given the ?legs? of a right triangle, return its hypotenuse. Equivalent to sqrt(x1**2 +

numpy.polynomial.chebyshev.cheb2poly(c)

Chebyshev.copy()

numpy.random.zipf(a, size=None) Draw samples from a Zipf distribution. Samples are drawn from a Zipf distribution

chararray.base Base object if memory is from some other object. Examples

numpy.random.laplace(loc=0.0, scale=1.0, size=None) Draw samples from the Laplace or double exponential distribution with

numpy.not_equal(x1, x2[, out]) = Return (x1 != x2) element-wise.

numpy.polynomial.hermite_e.hermegrid3d(x, y, z, c)

RandomState.zipf(a, size=None) Draw samples from a Zipf distribution. Samples are drawn from a Zipf distribution

Polynomial.truncate(size)