chararray.view(dtype=None, type=None) New view of array with the same data.

can_cast(from, totype, casting = ) Returns True if cast between data types can occur according to the casting rule. promote_types(type1, type2) Returns the data type with the smallest size and smallest scalar kind to which both type1 and type2 may be safely cast. min_scalar_type(a) For scalar a, returns the data type with the smallest size and smallest scalar kind which can hold its value. result_type(*arrays_and_dtypes) Returns the type that results from applying the NumPy type promotion

ndarray.itemset(*args) Insert scalar into an array (scalar is cast to array?s dtype, if possible) There must be

numpy.ldexp(x1, x2[, out]) = Returns x1 * 2**x2, element-wise. The mantissas x1 and twos exponents x2

numpy.polynomial.polynomial.polytrim(c, tol=0)

numpy.polynomial.legendre.leggrid3d(x, y, z, c)

numpy.npv(rate, values)

numpy.polynomial.hermite.poly2herm(pol)

recarray.tostring(order='C') Construct Python bytes containing the raw data bytes in the array. Constructs Python

numpy.sctype2char(sctype)