objectify

sometimes i get data in the form of arrays of arrays:

const data = [
  ['jill', 'june', 'us']
  ['jack', 'january', 'gb']
]

array destructuring helps here:

let [name, birthmonth, country] = data[0]
console.log(name) // jill

but sometimes i just want to work on the data without destructuring it all the time, especially if during an operation the only field i care about is nearer the end of the array.

// name and birthmonth are unused vars :(
let gbPeople = data.some(([name, birthmonth, country]) => country === 'gb')

// opaque and confusing :(
let gbPeople = data.some(entry => entry[2] === 'gb')

so i usually end up mapping the data to objects so i can refer to fields by name

// obvious what's going on here
let gbPeople = niceData.some(entry => entry.country === 'gb')

this is a very small utility (10 lines) to help do that

install

npm install objctfy

use

objectify(arr, labels)

arr is an array of arrays

labels is an array of labels that correspond to the data by index

const objectify = require('@twoseventythree/objctfy')

const log = [
  [1487799425, 14, 1],
  [1487799425, 4, 0],
  [1487799425, 2, 0],
  [1487800378, 10, 1],
  [1487801478, 18, 0],
  [1487801478, 18, 1],
  [1487901013, 1, 0],
  [1487901211, 7, 1],
  [1487901211, 7, 0]
]

const niceLog = objectify(log, ['timestamp', 'count', 'arrived'])

/*
niceLog : [
  { timestamp: 1487799425, count: 14, arrived: 1 },
  { timestamp: 1487799425, count: 4, arrived: 0 },
  { timestamp: 1487799425, count: 2, arrived: 0 },
  { timestamp: 1487800378, count: 10, arrived: 1 },
  { timestamp: 1487801478, count: 18, arrived: 0 },
  { timestamp: 1487801478, count: 18, arrived: 1 },
  { timestamp: 1487901013, count: 1, arrived: 0 },
  { timestamp: 1487901211, count: 7, arrived: 1 },
  { timestamp: 1487901211, count: 7, arrived: 0 }
]
*/

license

MIT