下面是一个使用ImmutableJS的解决方案，其中items是一个不可变列表，size是所需的分组大小。

const partition = ((items, size) => {
  return items.groupBy((items, i) => Math.floor(i/size))
})

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 ] ]

# in coffeescript
# assume "ar" is the original array
# newAr is the new array of arrays

newAr = []
chunk = 10
for i in [0... ar.length] by chunk
   newAr.push ar[i... i+chunk]

# or, print out the elements one line per chunk
for i in [0... ar.length] by chunk
   console.log ar[i... i+chunk].join ' '

我只是在groupBy函数的帮助下写了这个。

// utils const group = (source) => ({ by: (grouping) => { const groups = source.reduce((accumulator, item) => { const name = JSON.stringify(grouping(item)); accumulator[name] = accumulator[name] || []; accumulator[name].push(item); return accumulator; }, {}); return Object.keys(groups).map(key => groups[key]); } }); const chunk = (source, size) => group(source.map((item, index) => ({ item, index }))) .by(x => Math.floor(x.index / size)) .map(x => x.map(v => v.item)); // 103 items const arr = [6,2,6,6,0,7,4,9,3,1,9,6,1,2,7,8,3,3,4,6,8,7,6,9,3,6,3,5,0,9,3,7,0,4,1,9,7,5,7,4,3,4,8,9,0,5,1,0,0,8,0,5,8,3,2,5,6,9,0,0,1,5,1,7,0,6,1,6,8,4,9,8,9,1,6,5,4,9,1,6,6,1,8,3,5,5,7,0,8,3,1,7,1,1,7,6,4,9,7,0,5,1,0]; const chunks = chunk(arr, 10); console.log(JSON.stringify(chunks));

使用来自lodash的chunk

lodash.chunk(arr,<size>).forEach(chunk=>{
  console.log(chunk);
})

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]]