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Home What are the map, filter, and reduce methods in JavaScript?

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What are the map, filter, and reduce methods in JavaScript?

Chief Editor
Last updated: February 16, 2025 1:35 pm
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In JavaScript, map(), filter(), and reduce() are array methods that help in transforming and processing data efficiently. They are part of the functional programming paradigm and are commonly used in modern JavaScript development.

Contents
1. map() Method2. filter() Method3. reduce() MethodComparison Summary:

1. map() Method

The map() method creates a new array by applying a function to each element of an existing array.

Syntax:

javascriptCopyEditconst newArray = array.map((element, index, array) => {
  // Return the modified element
});

Key Points:

  • Returns a new array with the results of applying the function to every element.
  • Does not modify the original array.

Example:

javascriptCopyEditconst numbers = [1, 2, 3, 4];
const squared = numbers.map(num => num * num);
console.log(squared); // [1, 4, 9, 16]

2. filter() Method

The filter() method creates a new array containing only the elements that satisfy a given condition.

Syntax:

javascriptCopyEditconst filteredArray = array.filter((element, index, array) => {
  // Return true to keep the element, false to discard it
});

Key Points:

  • Returns a new array with elements that pass the test.
  • Does not modify the original array.

Example:

javascriptCopyEditconst numbers = [1, 2, 3, 4, 5];
const evenNumbers = numbers.filter(num => num % 2 === 0);
console.log(evenNumbers); // [2, 4]

3. reduce() Method

The reduce() method reduces the array to a single value by executing a reducer function.

Syntax:

javascriptCopyEditconst result = array.reduce((accumulator, currentValue, index, array) => {
  // Return updated accumulator
}, initialValue);

Parameters:

  • accumulator – Accumulates the result.
  • currentValue – Current element being processed.
  • initialValue – Optional initial value of the accumulator.

Key Points:

  • Returns a single value.
  • Useful for calculations like summing elements, flattening arrays, etc.

Example:

javascriptCopyEditconst numbers = [1, 2, 3, 4];
const sum = numbers.reduce((acc, curr) => acc + curr, 0);
console.log(sum); // 10

Comparison Summary:

MethodPurposeReturn ValueTypical Use Case
map()Transform each element in an array.New arrayTransform data (e.g., double each number).
filter()Filter elements based on a condition.New arrayGet a subset of elements (e.g., even numbers).
reduce()Reduce the array to a single value.Single valueAggregate data (e.g., sum, product).

These methods make working with arrays cleaner and more readable, especially when dealing with large data transformations.

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