numpy.sqrt(x[, out]) = Return the positive square-root of an array, element-wise.

numpy.logaddexp2(x1, x2[, out]) = Logarithm of the sum of exponentiations of the inputs in base-2. Calculates log2(2**x1

numpy.cosh(x[, out]) = Hyperbolic cosine, element-wise. Equivalent to 1/2 * (np.exp(x) + np.exp(-x)) and np

numpy.rollaxis(a, axis, start=0)

chararray.real The real part of the array. See

matrix.shape Tuple of array dimensions. Notes May be used to ?reshape? the array, as long

matrix.item(*args) Copy an element of an array to a standard Python scalar and return it.

An

numpy.polynomial.laguerre.lagvander3d(x, y, z, deg)

numpy.polynomial.laguerre.poly2lag(pol)