Using the Array Reduce Method
Learning Goals
- Learn how the
reduce()
method works - Demonstrate using
reduce()
with a primitive return value - Demonstrate using
reduce()
with an object as the return value
Introduction
In the world of programming, we often work with lists. Sometimes we want to find
or transform elements in a list, but other times we might want to create a
single summary value. In this lesson, we'll learn how to use the reduce()
iterator method to aggregate a result, i.e., to reduce a list to a single
value. That value can be a string, a number, a boolean, etc.
To better understand how reduce()
works, we'll start by building our own
version.
reduce()
Method Works
Learn How the Let's say we have a bunch of grocery items in our basket and we want to calculate the total price. Our basket data might look like this:
const products = [
{ name: 'Shampoo', price: 4.99 },
{ name: 'Donuts', price: 7.99 },
{ name: 'Cookies', price: 6.49 },
{ name: 'Bath Gel', price: 13.99 }
];
We're going to reduce the array of products to a single value: the total
price. To do this, we'll create a getTotalAmountForProducts()
function:
function getTotalAmountForProducts(products) {
let totalPrice = 0;
for (const product of products) {
totalPrice += product.price;
};
return totalPrice;
}
console.log(getTotalAmountForProducts(products)); // LOG: 33.46
We first declare a totalPrice
variable and set its initial value to 0. We then
iterate through the products in the basket and add the price of each to the
total. When the loop has finished, we return the totalPrice
.
This is a very basic way to manually add together the prices of the products we want to buy, but it only works for this very specific situation. We could make our solution more abstract by writing a generalized function that accepts two additional arguments: an initial value and a callback function that implements the reduce functionality we want.
To see what this might look like, let's count the number of coupons we have lying around the house:
const couponLocations = [
{ room: 'Living room', amount: 5 },
{ room: 'Kitchen', amount: 2 },
{ room: 'Bathroom', amount: 1 },
{ room: 'Master bedroom', amount: 7 }
];
function ourReduce(arr, reducer, init) {
let accum = init;
for (const element of arr) {
accum = reducer(accum, element);
};
return accum;
}
function couponCounter(totalAmount, location) {
return totalAmount + location.amount;
}
console.log(ourReduce(couponLocations, couponCounter, 0)); // LOG: 15
ourReduce()
accepts three arguments: the array we want to reduce, the callback
function or reducer, and the initial value for our accumulator variable.
It then iterates over the array, calling the reducer function each time, which
returns the updated value of the accumulator. The final value of the accumulator
is returned at the end.
Note that ourReduce()
is generalized: the specifics (the callback function and
initial value) have been abstracted out, making our code more flexible. If, for
example, we already have three coupons in our hand, we can easily account for
that without having to change any code by adjusting the initial value when we
call ourReduce()
:
console.log(ourReduce(couponLocations, couponCounter, 3)); // LOG: 18
reduce()
with a Primitive Return Value
Demonstrate using With JavaScript’s native reduce()
method, we don't need to write our own
version. Just like ourReduce
, the reduce()
method is used when we want to
get some information from each element in the collection and gather that
information into a final summary value. Let's take the native implementation for
a spin with our previous example:
console.log(couponLocations.reduce(couponCounter, 0)); // also logs 15!
Another simple numerical example:
const doubledAndSummed = [1, 2, 3].reduce(function(accumulator, element){ return element * 2 + accumulator}, 0)
// => 12
Here, as in the previous example, we are calling .reduce()
on our input array
and passing it two arguments: the callback function, and an optional start value
for the accumulator (0 in this example). .reduce()
executes the callback for
each element in turn, passing in the current value of the accumulator and the
current element each time. The callback updates the value of the accumulator in
each iteration, and that updated value is then passed as the first argument to
the callback in the next iteration. When there's nothing left to iterate, the
final value of the accumulator (the total) is returned.
The initialization value is optional, but leaving it out might lead to a real
surprise. If no initial value is supplied, the first element in the array is
used as the starting value. reduce()
then executes the callback function,
passing this starting value and the second element of the array as the two
arguments. In other words, the code inside the callback is never executed
for the first element in the array. This can lead to unexpected results:
const doubledAndSummed = [1, 2, 3].reduce(function(accumulator, element){ return element * 2 + accumulator})
// => 11
In some cases, it won't matter (e.g., if our reducer is simply summing the
elements of the input array). However, to be safe, it is best to always pass a
start value when calling reduce()
. Of course, that initial value can be
anything we like:
const doubledAndSummedFromTen = [1, 2, 3].reduce(function(accumulator, element){ return element * 2 + accumulator}, 10)
// => 22
reduce()
with an Object as the Return Value
Demonstrate using The output of the reduce()
method does not need to be a primitive value like a
Number
or String
. Let's consider an example that accumulates array values
into an Object
.
Say we want to create a roster of student artists based on their discipline of art for their final showcase. Our start value might look like this:
const showcases = {
"Dance": [],
"Visual": [],
"Music": [],
"Theater": [],
"Writing": []
}
Imagine we also have a studentSorter
object that includes a showcaseAssign()
method. That method takes the name of a student as its argument and returns the
name of the showcase the student should be assigned to. We could call this
method directly:
studentSorter.showcaseAssign(studentName);
But that just returns the name of the assigned showcase for that one student; it
doesn't update our allShowcases
object.
To do that, we can call reduce on our input array (which contains the names of
all incoming students), passing a callback function and the start value of
artShowcases
as the arguments. The callback is where we'll push each student
name into the appropriate showcase:
incomingStudents.reduce(function(showcases, student) { showcases[studentSorter.showcaseAssign(student)].push(student)}, allShowcases)
Let's break this down: .reduce()
executes the callback for each student name
in turn. Inside the callback, the studentSorter.showcaseAssign()
method is
called with the current student name as its argument. showcaseAssign()
returns
the name of an Arts Showcase, which is then used as the key to access the
correct array in the allShowcases
object and push the student's name into it.
The iteration then continues to the next element in the array, passing the next
student name and the updated value of allShowcases
as the arguments. Once
reduce()
has iterated through all the students in incomingStudents
, it
returns the final value of allShowcases
.
Then we can then access the list of students in any Arts Showcase:
allShowcases["Visual"] //=> [yishayGarbasz, wuTsang, mickaleneThomas]
reduce()
to Create a Single Aggregate of All Items in a List
Lab: Use Let's say we are hard at work in the battery factory. We've assembled several batches of batteries today. Let's count how many assembled batteries we ended up with.
- Create a new variable called
totalBatteries
, which holds the sum of all of the battery amounts in thebatteryBatches
array. (Note that thebatteryBatches
variable has been provided for you inindex.js
.) Naturally, you should usereduce()
for this!
Conclusion
With reduce()
, we are able to quickly get a single summary value from the
elements in an array. reduce()
— like the other iterator methods we've learned
about in this section — can greatly cut down the amount of time spent recreating
common functionality. It can also make our code more efficient and expressive.