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
function countOcurrences(arr){
return arr.reduce((aggregator, value, index, array) => {
if(!aggregator[value]){
return aggregator = {...aggregator, [value]: 1};
}else{
return aggregator = {...aggregator, [value]:++aggregator[value]};
}
}, {})
}
其他回答
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/
如果你喜欢单线。
加勒比海盗。reduce(function(countMap, word) {countMap[word] = ++countMap[word] || 1;return countMap}， {});
编辑(6/12/2015): 由内而外的解释。 countMap是一个映射一个单词的频率的映射，我们可以看到匿名函数。reduce所做的是应用带有参数的函数作为所有数组元素，并将countMap作为最后一次函数调用的返回值传递。最后一个参数({})是第一次函数调用时countMap的默认值。
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)));
}
我对拉姆达的解决方案:
const testArray = [5, 5, 5, 2, 2, 2, 2, 2, 9, 4]
const counfFrequency = R.compose(
R.map(R.length),
R.groupBy(R.identity),
)
counfFrequency(testArray)
链接到REPL。
使用Lodash
Const值= [5,5,5,2,2,2,2,2,2,2,2,2,9,4]; const frequency = _.map(_.groupBy(values)， val =>({值:val[0]，频率:val.length})); console.log(频率); < script src = " https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.15/lodash.min.js " > < /脚本>
