numpy.shares_memory(a, b, max_work=None) Determine if two arrays share memory

numpy.empty_like(a, dtype=None, order='K', subok=True) Return a new array with the same shape and type as a given array.

numpy.absolute(x[, out]) = Calculate the absolute value element-wise.

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

class numpy.poly1d(c_or_r, r=0, variable=None)

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

chararray.astype(dtype, order='K', casting='unsafe', subok=True, copy=True) Copy of the array, cast

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

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

numpy.degrees(x[, out]) = Convert angles from radians to degrees.