# REMAINDER

Find the remainder (division) of two numeric arrays, matrices, dataframes, or constants element-wise. When a constant is divided into an array or matrix, each element in the array or matrix will be divided by the constant value. Params: a : OrderedPair|Scalar|Vector The input that will be divided by b. b : OrderedPair|Scalar|Vector The input that will divide a. Returns: out : OrderedPair|Scalar|Vector OrderedPair if a is an OrderedPair. x: the x-axis of input a. y: the remainder of input a by input b. Scalar if a is a Scalar. c: the remainder of input a by input b. Vector if a is a Vector. v: the remainder of input a by input b.
Python Code
import numpy as np
from flojoy import flojoy, OrderedPair, Scalar, Vector
from blocks.MATH.ARITHMETIC.utils.arithmetic_utils import get_val
from functools import reduce

@flojoy
def REMAINDER(
a: OrderedPair | Scalar | Vector, b: list[OrderedPair | Scalar | Vector]
) -> OrderedPair | Scalar | Vector:
"""Find the remainder (division) of two numeric arrays, matrices, dataframes, or constants element-wise.

When a constant is divided into an array or matrix, each element in the array or matrix will be divided by the constant value.

Parameters
----------
a : OrderedPair|Scalar|Vector
The input that will be divided by b.
b : OrderedPair|Scalar|Vector
The input that will divide a.

Returns
-------
OrderedPair|Scalar|Vector
OrderedPair if a is an OrderedPair.
x: the x-axis of input a.
y: the remainder of input a by input b.

Scalar if a is a Scalar.
c: the remainder of input a by input b.

Vector if a is a Vector.
v: the remainder of input a by input b.
"""

initial = get_val(a)
seq = map(lambda dc: get_val(dc), b)
y2 = reduce(lambda u, v: np.remainder(u, v), seq, initial)

match a:
case OrderedPair():
return OrderedPair(x=a.x, y=y2)
case Vector():
return Vector(v=y2)
case Scalar():
return Scalar(c=y2)


Find this Flojoy Block on GitHub

## Example App

This app shows how to use the REMAINDER and FLOOR_DIVISION blocks.
• REMAINDER
• FLOOR_DIVISION
• 2x CONSTANT (set to scalars of 10 and 3)
• 2x BIG_NUMBER