您好我需要解析一些结构以在折线图中显示一些数据。我有这个数据结构,我需要将其转换为数组example_output:
data = {
"el1": [{
"date": "2017.01",
"data1": {
"series_1": {
"a": 10,
"b": 20,
"c": 50,
"d": 15,
"e": 8
},
"Series_2": {
"yes": 5,
"no": 3
},
"Series_3": {
"s": 2,
"n": 9
}
},
"text": [{
"t": "header",
"c": "text"
}, {
"t": "header2",
"c": "text2"
}]
}, {
"date": "2017.02",
"data1": {
"series_1": {
"a": 56,
"b": 23,
"c": 45,
"d": 69,
"e": 14
},
"Series_2": {
"yes": 2,
"no": 1
},
"Series_3": {
"s": 6,
"n": 4
}
},
"text": [{
"t": "header",
"c": "text"
}, {
"t": "header2",
"c": "text2"
}]
}, {
"date": "2017.03",
"data1": {
"series_1": {
"a": 15,
"b": 12,
"c": 10,
"d": 54,
"e": 4
},
"Series_2": {
"yes": 20,
"no": 16
},
"Series_3": {
"s": 9,
"n": 7
}
},
"text": [{
"t": "header",
"c": "text"
}, {
"t": "header2",
"c": "text2"
}]
}
]
};
我需要这样的OUTPUT for chartist.js
var example_output = [{
labels: ['2017.01', '2017.02', '2017.03'],
series: {
[10, 56, 15],
[20, 23, 12],
[50, 45, 10],
[15, 69, 54],
[8, 14, 4]
},
labels: ['2017.01', '2017.02', '2017.03'],
series: {
[5, 2, 20],
[3, 1, 16]
},
labels: ['2017.01', '2017.02', '2017.03'],
series: {
[2, 6, 9],
[9, 4, 7]
},}] ;
请比较原始数字和example_output中的数字,以便更好地了解它的外观。我使用代码来解析这个但是出错了:
function parseData(data) {
var _newData = {};
var allSeries = [];
data.elements.forEach(function(el){
_newData[el.date] = el.info
if(allSeries.length==0)
allSeries = Object.keys(el.info);
});
return allSeries.map(function(el) {
var obj = {
labels: [],
series: []
};
obj.labels = Object.keys(_newData);
Object.keys(_newData).forEach(function(_el) {
obj.series.push(Object.values(_newData[_el][el]));
});
var _newSeries = [];
obj.series[0].forEach(function(el, i){
_newSeries.push([el, obj.series[1][i]]);
});
obj.series = _newSeries;
return obj;
});
}
答案 0 :(得分:0)
您可以使用array#forEach
和array#reduce
。使用第一个循环迭代el1
,然后对series
键使用reduce,并将结果累加到output_example
。
注意:输出中的series
不正确。它应该是一个数组而不是对象。
const data = {"el1": [{"date": "2017.01","data1": {"series_1": {"a": 10,"b": 20,"c": 50,"d": 15,"e": 8},"Series_2": {"yes": 5,"no": 3},"Series_3": {"s": 2,"n": 9}},"text": [{"t": "header","c": "text"}, {"t": "header2","c": "text2"}]}, {"date": "2017.02","data1": {"series_1": {"a": 56,"b": 23,"c": 45,"d": 69,"e": 14},"Series_2": {"yes": 2,"no": 1},"Series_3": { "s": 6,"n": 4 }},"text": [{"t": "header","c": "text"}, {"t": "header2","c": "text2"}]}, {"date": "2017.03","data1": {"series_1": {"a": 15,"b": 12,"c": 10,"d": 54,"e": 4},"Series_2": {"yes": 20, "no": 16},"Series_3": {"s": 9, "n": 7}},"text": [{"t": "header","c": "text"}, {"t": "header2","c": "text2" }]}]};
transpose = (arr) => arr.reduce((r,v,i) => {
(r[i] = r[i] || []).push(v);
return r;
},[]);
let example_output = [];
data.el1.forEach((o) => {
Object.keys(o.data1).reduce((r, k, i) => {
r[i] = r[i] || {};
if('labels' in r[i])
r[i]['labels'].push(o.date);
else
r[i]['labels'] = [o.date];
if('series' in r[i])
Object.values(o.data1[k]).forEach((v,j) => r[i]['series'][j].push(v));
else
r[i]['series'] = transpose(Object.values(o.data1[k]));
return r;
},example_output);
},[]);
console.log(example_output);

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