numpy.copysign(x1, x2[, out]) = Change the sign of x1 to that of x2, element-wise. If both arguments are arrays or sequences

numpy.prod(a, axis=None, dtype=None, out=None, keepdims=False)

numpy.fix(x, y=None)

numpy.tan(x[, out]) = Compute tangent element-wise. Equivalent to np.sin(x)/np.cos(x) element-wise.

numpy.angle(z, deg=0)

numpy.fmod(x1, x2[, out]) = Return the element-wise remainder of division. This is the NumPy implementation of the C library

numpy.sum(a, axis=None, dtype=None, out=None, keepdims=False)

numpy.floor_divide(x1, x2[, out]) = Return the largest integer smaller or equal to the division of the inputs. It is equivalent

numpy.arctan2(x1, x2[, out]) = Element-wise arc tangent of x1/x2 choosing the quadrant correctly. The quadrant

numpy.cumsum(a, axis=None, dtype=None, out=None)