in coffeescript:

b = (a.splice(0, len) while a.length)

demo 
a = [1, 2, 3, 4, 5, 6, 7]

b = (a.splice(0, 2) while a.length)
[ [ 1, 2 ],
  [ 3, 4 ],
  [ 5, 6 ],
  [ 7 ] ]

这是一个带有尾递归和数组解构的版本。

远非最快的性能，但我只是觉得好笑，js现在可以做到这一点。即使它没有为此进行优化:(

const getChunks = (arr, chunk_size, acc = []) => {
    if (arr.length === 0) { return acc }
    const [hd, tl] = [ arr.slice(0, chunk_size), arr.slice(chunk_size) ]
    return getChunks(tl, chunk_size, acc.concat([hd]))
}

// USAGE
const my_arr = [1,2,3,4,5,6,7,8,9]
const chunks = getChunks(my_arr, 2)
console.log(chunks) // [[1,2],[3,4], [5,6], [7,8], [9]]

为这个https://www.npmjs.com/package/array.chunk创建一个npm包

var result = [];

for (var i = 0; i < arr.length; i += size) {
  result.push(arr.slice(i, size + i));
}
return result;

当使用TypedArray时

var result = [];

for (var i = 0; i < arr.length; i += size) {
  result.push(arr.subarray(i, size + i));
}
return result;

一行程序

const chunk = (a,n)=>[...Array(Math.ceil(a.length/n))].map((_,i)=>a.slice(n*i,n+n*i));

为打印稿

const chunk = <T>(arr: T[], size: number): T[][] =>
  [...Array(Math.ceil(arr.length / size))].map((_, i) =>
    arr.slice(size * i, size + size * i)
  );

DEMO

const块= (n) = >[…]数组(Math.ceil (a.length / n))) . map ((_, i) = > a.slice (n * n + n * i)); document . write (JSON。Stringify (chunk([1,2,3,4]， 2)));

按组数分组

const part=(a,n)=>[...Array(n)].map((_,i)=>a.slice(i*Math.ceil(a.length/n),(i+1)*Math.ceil(a.length/n)));

为打印稿

const part = <T>(a: T[], n: number): T[][] => {
  const b = Math.ceil(a.length / n);
  return [...Array(n)].map((_, i) => a.slice(i * b, (i + 1) * b));
};

DEMO

Const部分= (a, n) => { const b = Math.ceil(a。长度/ n); 返回数组(n)[…]。Map ((_， i) => .slice(i * b， (i + 1) * b)); }; document . write (JSON。Stringify (part([1,2,3,4,5,6]， 2))+'<br/>'); document . write (JSON。Stringify (part([1,2,3,4,5,6,7]， 2)));

in coffeescript:

b = (a.splice(0, len) while a.length)

demo 
a = [1, 2, 3, 4, 5, 6, 7]

b = (a.splice(0, 2) while a.length)
[ [ 1, 2 ],
  [ 3, 4 ],
  [ 5, 6 ],
  [ 7 ] ]

这是一个递归的解决方案，尾部调用优化。

const splitEvery = (n, xs, y=[]) => xs。长度= = = 0 ?y: splitEvery(n, xs.slice(n)， y.concat([xs. slice(n)])片(0,n)))) console.log(splitEvery(2， [0,1,2,3,4,5,6,7,8,9]))