# MULTIPLY

Multiply two numeric arrays, vectors, matrices, or constants element-wise. Params: a : OrderedPair|Scalar|Vector The input a use to compute the product of a and b. b : OrderedPair|Scalar|Vector The input b use to compute the product of a and b. Returns: out : OrderedPair|Scalar|Vector OrderedPair if a is an OrderedPair. x: the x-axis of input a. y: the result of the product of input a and input b. Scalar if a is a Scalar. c: the result of the product of input a and input b. Vector if a is a Vector. v: the result of the product of input a and input b.
Python Code
import numpy as np
from flojoy import OrderedPair, flojoy, Scalar, Vector
from blocks.MATH.ARITHMETIC.utils.arithmetic_utils import get_val
from functools import reduce

@flojoy
def MULTIPLY(
a: OrderedPair | Scalar | Vector, b: list[OrderedPair | Scalar | Vector]
) -> OrderedPair | Scalar | Vector:
"""Multiply two numeric arrays, vectors, matrices, or constants element-wise.

Parameters
----------
a : OrderedPair|Scalar|Vector
The input a use to compute the product of a and b.
b : OrderedPair|Scalar|Vector
The input b use to compute the product of a and b.

Returns
-------
OrderedPair|Scalar|Vector
OrderedPair if a is an OrderedPair.
x: the x-axis of input a.
y: the result of the product of input a and input b.

Scalar if a is a Scalar.
c: the result of the product of input a and input b.

Vector if a is a Vector.
v: the result of the product of input a and input b.
"""

initial = get_val(a)
seq = map(lambda dc: get_val(dc), b)
y = reduce(lambda u, v: np.multiply(u, v), seq, initial)

match a:
case OrderedPair():
return OrderedPair(x=a.x, y=y)
case Vector():
return Vector(v=y)
case Scalar():
return Scalar(c=y)


Find this Flojoy Block on GitHub

## Example App

In this example, LINSPACE and SINE nodes generate sine functions. Two sine functions are multiplied together using MULTIPLY node which is visualized using SCATTER node.