numpy.multiply(x1, x2[, out]) = Multiply arguments element-wise.

numpy.diff(a, n=1, axis=-1)

numpy.nansum(a, axis=None, dtype=None, out=None, keepdims=0)

numpy.i0(x)

numpy.round_(a, decimals=0, out=None)

numpy.trapz(y, x=None, dx=1.0, axis=-1)

numpy.remainder(x1, x2[, out]) = Return element-wise remainder of division. Computes the remainder complementary to the

numpy.expm1(x[, out]) = Calculate exp(x) - 1 for all elements in the array.

numpy.gradient(f, *varargs, **kwargs)

numpy.sinh(x[, out]) = Hyperbolic sine, element-wise. Equivalent to 1/2 * (np.exp(x) - np.exp(-x)) or -1j