class numpy.lib.NumpyVersion(vstring)

numpy.array(object, dtype=None, copy=True, order=None, subok=False, ndmin=0) Create an array.

RandomState.rayleigh(scale=1.0, size=None) Draw samples from a Rayleigh distribution. The

numpy.ma.shape(obj)

numpy.sinh(x[, out]) = Hyperbolic sine, element-wise. Equivalent to 1/2 * (np.exp(x) - np.exp(-x)) or -1j

numpy.expm1(x[, out]) = Calculate exp(x) - 1 for all elements in the array.

numpy.vander(x, N=None, increasing=False)

numpy.rot90(m, k=1)

MaskedArray.harden_mask()

numpy.polynomial.legendre.legval3d(x, y, z, c)