Reputation: 1950
I'm having an array of
var c = [{name: 'John'}, {name: 'John'}, {name: 'Tom'}];
I want to use the reduce method and map to get this following result:
result = [
{ name: "John", occurence: 2 },
{ name: "Tom", occurence: 1 }
]
Here's an attempt I have tried but still not fully getting it. https://jsfiddle.net/joeSaad/up3ddfzz/
c = [{
name: 'John'
}, {
name: 'John'
}, {
name: 'Simon'
}];
var d = c.reduce((countMap, word) => {
countMap[word.name] = ++countMap[word.name] || 1;
return countMap
}, []);
var e = c.reduce((countMap, word) => {
q = [];
countMap[word.name] = ++countMap[word.name] || 1;
var p = {
name: word.name,
occurence: countMap[word.name]
}
q.push(p);
return q
}, []);
console.log(e);
Help much appreciated. Thanks in advance
Upvotes: 0
Views: 131
Reputation: 135197
You're definitely on the right track working with reduce, but I would separate the computations into two distinct steps
let c = [{name: 'John'}, {name: 'John'}, {name: 'Tom'}];
const pairs = o=> Object.keys(o).map(k=> [k, o[k]])
let count = c.reduce((acc, {name}) => {
if (acc[name] === undefined)
return Object.assign(acc, { [name]: 1 })
else
return Object.assign(acc, { [name]: acc[name] + 1 })
}, {})
var result = pairs(count).map(([name, occurences]) => ({name, occurences}))
console.log(result)
//=> [ { name: 'John', occurences: 2 }, { name: 'Tom', occurences: 1 } ]
You could abstract these behaviours into distinct functions like this
// convert an object to [[key,value]] pairs
const pairs = o=> Object.keys(o).map(k=> [k, o[k]])
// count unique instances of a property value in an array of objects
const countBy = (prop, xs)=> {
return xs.reduce((acc, x)=> {
let y = x[prop]
if (acc[y] === undefined)
return Object.assign(acc, { [y]: 1 })
else
return Object.assign(acc, { [y]: acc[y] + 1 })
}, {})
}
// your data
let c = [{name: 'John'}, {name: 'John'}, {name: 'Tom'}]
// then chain it all together
let result = pairs(countBy('name', c)).map(([name, occurences]) => ({name, occurences}))
console.log(result)
//=> [ { name: 'John', occurences: 2 }, { name: 'Tom', occurences: 1 } ]
ES6 also offers Map
which is pretty good for doing this kind of computation.
This code reads a little nicer to me and is a little more semantically correct. Our previous code was doing the exact same thing, only it was using a plain object. Map
is a data structure specifically designed for this key->value
data, so that makes Map a better choice.
The only problem with this is, if your codebase isn't already using Maps in some way, introducing them just for this might be the wrong move.
// convert a Map to an array of pairs
const mpairs = m=> [...m.entries()]
// countBy this time uses Map
const countBy = (prop, xs)=> {
return xs.reduce((m, x)=> {
let y = x[prop]
if (m.has(y))
return m.set(y, m.get(y) + 1)
else
return m.set(y, 1)
}, new Map)
}
// your data
let c = [{name: 'John'}, {name: 'John'}, {name: 'Tom'}]
// then chain it all together
let result = mpairs(countBy('name', c)).map(([name, occurences]) => ({name, occurences}))
console.log(result)
//=> [ { name: 'John', occurences: 2 }, { name: 'Tom', occurences: 1 } ]
Upvotes: 3