numpy.maximum(x1, x2[, out]) = Element-wise maximum of array elements. Compare two arrays and returns a new array containing

numpy.sqrt(x[, out]) = Return the positive square-root of an array, element-wise.

numpy.unwrap(p, discont=3.141592653589793, axis=-1)

numpy.clip(a, a_min, a_max, out=None)

numpy.log2(x[, out]) = Base-2 logarithm of x.

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

numpy.rint(x[, out]) = Round elements of the array to the nearest integer.

numpy.exp(x[, out]) = Calculate the exponential of all elements in the input array.

numpy.log(x[, out]) = Natural logarithm, element-wise. The natural logarithm

numpy.square(x[, out]) = Return the element-wise square of the input.