在Javascript中，我试图采取数字值的初始数组，并计算其中的元素。理想情况下，结果将是两个新数组，第一个数组指定每个唯一元素，第二个数组包含每个元素出现的次数。但是，我愿意听取关于输出格式的建议。
例如，如果初始数组是:
5, 5, 5, 2, 2, 2, 2, 2, 9, 4
然后将创建两个新数组。第一个将包含每个唯一元素的名称:
5, 2, 9, 4
第二个将包含该元素在初始数组中出现的次数:
3, 5, 1, 1
因为数字5在初始数组中出现了三次，数字2出现了五次，9和4都出现了一次。
我一直在寻找解决方案，但似乎没有一个可行，而且我自己尝试过的每件事最后都出奇地复杂。任何帮助都将不胜感激!
谢谢:)
当前回答
您可以通过使用count函数扩展数组来简化这一点。它的工作原理类似于Ruby的array# count，如果你熟悉它的话。
Array.prototype.count = function(obj){
var count = this.length;
if(typeof(obj) !== "undefined"){
var array = this.slice(0), count = 0; // clone array and reset count
for(i = 0; i < array.length; i++){
if(array[i] == obj){ count++ }
}
}
return count;
}
用法:
let array = ['a', 'b', 'd', 'a', 'c'];
array.count('a'); // => 2
array.count('b'); // => 1
array.count('e'); // => 0
array.count(); // => 5
Gist
Edit
然后你可以使用array# filter获取你的第一个数组，包含每个出现的项:
let occurred = [];
array.filter(function(item) {
if (!occurred.includes(item)) {
occurred.push(item);
return true;
}
}); // => ["a", "b", "d", "c"]
你的第二个数组，使用数组#count到数组#map:
occurred.map(array.count.bind(array)); // => [2, 1, 1, 1]
或者，如果顺序无关紧要，你可以直接返回一个键值对:
let occurrences = {}
occurred.forEach(function(item) { occurrences[item] = array.count(item) });
occurences; // => {2: 5, 4: 1, 5: 3, 9: 1}
其他回答
查看下面的代码。
<html>
<head>
<script>
// array with values
var ar = [5, 5, 5, 2, 2, 2, 2, 2, 9, 4];
var Unique = []; // we'll store a list of unique values in here
var Counts = []; // we'll store the number of occurances in here
for(var i in ar)
{
var Index = ar[i];
Unique[Index] = ar[i];
if(typeof(Counts[Index])=='undefined')
Counts[Index]=1;
else
Counts[Index]++;
}
// remove empty items
Unique = Unique.filter(function(){ return true});
Counts = Counts.filter(function(){ return true});
alert(ar.join(','));
alert(Unique.join(','));
alert(Counts.join(','));
var a=[];
for(var i=0; i<Unique.length; i++)
{
a.push(Unique[i] + ':' + Counts[i] + 'x');
}
alert(a.join(', '));
</script>
</head>
<body>
</body>
</html>
我在codewars上解决了一个类似的问题，并设计了以下解决方案。
这将给出数组中整数的最高计数以及整数本身。我认为它也可以应用于字符串数组。
要正确地对字符串排序，请从sort()部分中删除函数(a, b){return a-b}
function mostFrequentItemCount(collection) {
collection.sort(function(a, b){return a-b});
var i=0;
var ans=[];
var int_ans=[];
while(i<collection.length)
{
if(collection[i]===collection[i+1])
{
int_ans.push(collection[i]);
}
else
{
int_ans.push(collection[i]);
ans.push(int_ans);
int_ans=[];
}
i++;
}
var high_count=0;
var high_ans;
i=0;
while(i<ans.length)
{
if(ans[i].length>high_count)
{
high_count=ans[i].length;
high_ans=ans[i][0];
}
i++;
}
return high_ans;
}
下面是一种计算对象数组中出现次数的方法。它还将第一个数组的内容放在一个新数组中，以便对值进行排序，这样原始数组中的顺序就不会被打乱。然后使用递归函数遍历每个元素并计算数组中每个对象的quantity属性。
var big_array = [
{ name: "Pineapples", quantity: 3 },
{ name: "Pineapples", quantity: 1 },
{ name: "Bananas", quantity: 1 },
{ name: "Limes", quantity: 1 },
{ name: "Bananas", quantity: 1 },
{ name: "Pineapples", quantity: 2 },
{ name: "Pineapples", quantity: 1 },
{ name: "Bananas", quantity: 1 },
{ name: "Bananas", quantity: 1 },
{ name: "Bananas", quantity: 5 },
{ name: "Coconuts", quantity: 1 },
{ name: "Lemons", quantity: 2 },
{ name: "Oranges", quantity: 1 },
{ name: "Lemons", quantity: 1 },
{ name: "Limes", quantity: 1 },
{ name: "Grapefruit", quantity: 1 },
{ name: "Coconuts", quantity: 5 },
{ name: "Oranges", quantity: 6 }
];
function countThem() {
var names_array = [];
for (var i = 0; i < big_array.length; i++) {
names_array.push( Object.assign({}, big_array[i]) );
}
function outerHolder(item_array) {
if (item_array.length > 0) {
var occurrences = [];
var counter = 0;
var bgarlen = item_array.length;
item_array.sort(function(a, b) { return (a.name > b.name) ? 1 : ((b.name > a.name) ? -1 : 0); });
function recursiveCounter() {
occurrences.push(item_array[0]);
item_array.splice(0, 1);
var last_occurrence_element = occurrences.length - 1;
var last_occurrence_entry = occurrences[last_occurrence_element].name;
var occur_counter = 0;
var quantity_counter = 0;
for (var i = 0; i < occurrences.length; i++) {
if (occurrences[i].name === last_occurrence_entry) {
occur_counter = occur_counter + 1;
if (occur_counter === 1) {
quantity_counter = occurrences[i].quantity;
} else {
quantity_counter = quantity_counter + occurrences[i].quantity;
}
}
}
if (occur_counter > 1) {
var current_match = occurrences.length - 2;
occurrences[current_match].quantity = quantity_counter;
occurrences.splice(last_occurrence_element, 1);
}
counter = counter + 1;
if (counter < bgarlen) {
recursiveCounter();
}
}
recursiveCounter();
return occurrences;
}
}
alert(JSON.stringify(outerHolder(names_array)));
}
返回一个可排序的数组:
let array = [5, 5, 5, 2, 2, 2, 2, 2, 9, 4] let reducedArray = array.reduce( (acc, curr, _, arr) => { if (acc.length == 0) acc.push({item: curr, count: 1}) else if (acc.findIndex(f => f.item === curr ) === -1) acc.push({item: curr, count: 1}) else ++acc[acc.findIndex(f => f.item === curr)].count return acc }, []); console.log(reducedArray.sort((a,b) => b.count - a.count )) /* Output: [ { "item": 2, "count": 5 }, { "item": 5, "count": 3 }, { "item": 9, "count": 1 }, { "item": 4, "count": 1 } ] */
使用O(n)时间复杂度的映射的解决方案。
var arr = [2, 2, 2, 2, 2, 4, 5, 5, 5, 9];
const countOccurrences = (arr) => {
const map = {};
for ( var i = 0; i < arr.length; i++ ) {
map[arr[i]] = ~~map[arr[i]] + 1;
}
return map;
}
演示:http://jsfiddle.net/simevidas/bnACW/
