numpy.imag(val)

numpy.true_divide(x1, x2[, out]) = Returns a true division of the inputs, element-wise. Instead of the Python traditional

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

numpy.arcsin(x[, out]) = Inverse sine, element-wise.

numpy.floor(x[, out]) = Return the floor of the input, element-wise. The floor of the scalar x is the largest

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

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

numpy.fabs(x[, out]) = Compute the absolute values element-wise. This function returns the absolute values (positive magnitude)

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

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