split-filter-n
v1.1.3
Published
Like Array#filter, but lets you categorize an array into any amount of smaller arrays
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split-filter-n
Like Array#filter
, but lets you categorize an array of items into many arrays, based on a predicate function.
If you just want to split an array into two parts (eg. based on a true
/false
result), you'll probably want to use split-filter
instead.
Example
"use strict";
const splitFilterN = require("split-filter-n");
let words = [
"apple",
"Banana",
"strawberry",
"Avocado"
];
let letterIndex = splitFilterN(words, ["A", "B", "C"], (word) => word[0].toUpperCase());
console.log(letterIndex);
/*
{
A: [ 'apple', 'Avocado' ]
B: [ 'Banana' ],
C: [],
S: [ 'strawberry' ]
}
*/
API
splitFilterN(array, ensureCategories, predicate)
Splits the array
into an object of arrays, keyed by whatever the predicate
function returned for each value.
- array: The array to split.
- ensureCategories: An array of strings, indicating which categories should always exist on the result object (explained further below). Set this to an empty array (
[]
) if you don't need this feature. - predicate: The function that determines which category to sort the value into. This function should return a string, indicating the desired category for the value. This predicate function receives two arguments, of which you'll usually only need the first one:
- value: The value itself.
- index: The index of the value in the array you've provided.
Returns an object - one key for each category, with the corresponding value being an array of items that were sorted into that category.
Note that the keys on the object come from two sources:
- Each unique string returned from the predicate
function will become a category key.
- Each string in the ensureCategories
array will also become a category key.
The reason for the ensureCategories
option is that you'll often want to use object destructuring, like so:
let { low, medium, high } = splitFilterN(values, [], predicate);
for (let mediumValue of medium) {
// some more logic...
}
Now, what if there were no values in values
that returned "medium"
from the predicate
function? The medium
variable would be set to undefined
, and the for
statement would produce an error, as you can't iterate over undefined
. This is of course very impractical if you can't predict what values you're going to encounter.
Since it's not possible in JS for a function to detect what variables it will be destructured into, you'll have to explicitly tell the splitFilterN
function what categories you want to always exist - and you do that through the ensureCategories
argument. Whatever categories are listed in that argument, will always be an array in the result object, even if no items matched it.
Using the ensureCategories
argument still lets you create undeclared categories through the predicate
return value, of course - it just ensures that a particular set of categories is always there no matter what, so that you can safely destructure the result.
Example:
let { low, medium, high } = splitFilterN(values, [ "low", "medium", "high" ], predicate);
for (let mediumValue of medium) {
// some more logic...
}
Now the for
statement will always work.
If it's an optional feature, why does it come before the required predicate
? Because a predicate function will very often need to be more than one line, and having it at the end makes it easier to format your code well, regardless of what code style you use. Setting it to []
if you don't need it is pretty unobtrusive, and means that this library doesn't need to support overloaded syntax (which would make it unnecessarily fragile).
Changelog
1.1.3 (March 20, 2022)
- Return a null-prototype object instead.
1.1.2 (February 17, 2020)
- Fixed repository URL in package.json
1.1.1 (August 25, 2019)
- Fixed
require
in documentation example. - Fixed changelog formatting.
1.1.0 (August 19, 2019)
- New: Predicate function now also receives the index of the value as an argument, not just the value itself.
1.0.1 (August 19, 2019)
- Clarified
ensureCategories
documentation with additional example.
1.0.0 (August 19, 2019)
Initial release.