根据多个筛选条件从 JSON 数据中计算平均值 JavaScript
假设我们有一个这样的对象数组 −
const arr = [ { "SupplierName" : "John", "Category " : "A", "Points" : 3 }, { "SupplierName" : "John", "Category " : "A", "Points" : 11 }, { "SupplierName" : "John", "Category " : "A", "Points" : undefined }, { "SupplierName" : "John", "Category " : "B", "Points" : 2 }, { "SupplierName" : "John", "Category " : "B", "Points" : 6 }, { "SupplierName" : "Praveen", "Category " : "A", "Points" : 3 }, { "SupplierName" : "Praveen", "Category " : "A", "Points" : 7 } ];
我们需要编写一个接收此类数组的 JavaScript 函数。
该函数应执行以下操作 −
- 将重复的供应商分组到一个唯一独立的对象中(重复指的是“SupplierName”和“Category”字段相同的对象)。
- 将它们的积分加在一起
- 向每个对象添加一个新的“平均值”字段,其中包含该供应商的平均积分。
因此,最终输出应如下所示 −
const output = [ { "SupplierName" : "John", "Category " : "A", "Points" : 14, "Average" : 7 }, { "SupplierName" : "John", "Category " : "B", "Points" : 8, "Average" : 4 }, { "SupplierName" : "Praveen", "Category " : "A", "Points" : 10, "Average" : 5 } ];
示例
const arr = [ { "SupplierName" : "John", "Category " : "A", "Points" : 3 }, { "SupplierName" : "John", "Category " : "A", "Points" : 11 }, { "SupplierName" : "John", "Category " : "A", "Points" : undefined }, { "SupplierName" : "John", "Category " : "B", "Points" : 2 }, { "SupplierName" : "John", "Category " : "B", "Points" : 6 }, { "SupplierName" : "Praveen", "Category " : "A", "Points" : 3 }, { "SupplierName" : "Praveen", "Category " : "A", "Points" : 7 } ]; const groupAndAverage = (arr = []) => { const groups = arr.reduce((acc, obj) => { const name = obj.SupplierName + obj.Category; if (acc[name]) { if (obj.Points) (acc[name].Points += obj.Points) && ++acc[name].Average; } else { acc[name] = obj; acc[name].Average = 1; // taking 'Average' attribute as an items counter(on the first phase) }; return acc; }, {}); // getting "average of Points" const res = Object.keys(groups).map( name => { groups[name].Average = Math.round(groups[name].Points/groups[name].Average); return groups[name]; }); return res; }; console.log(JSON.stringify(groupAndAverage(arr), undefined, 4));
输出
并且控制台中的输出将为 −
[ { "SupplierName": "John", "Category ": "A", "Points": 22, "Average": 6 }, { "SupplierName": "Praveen", "Category ": "A", "Points": 10, "Average": 5 } ]
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