先上最後的成果圖~
今天我們的範例換一個套件,
這次我們使用的是echarts,
跟之前一樣,取出kbar_data資料,
const kbar_data = $("#kbar_data").val();
const myArr = JSON.parse(kbar_data);
將他放入套件的範例中就會出現上面的成果,
const data0 = splitData(myArr);
但這個土法煉鋼的方法有個大問題(昨天controller的部分),
就是他的呼叫時間非常久,
60天就要呼叫60次,
而且使用到雙層迴圈在程式中是不太ok的,
所以我自己認為比較好的方法是"一次呼叫需要的時間區間"並存到資料表中,
存到資料表後用sql會比較好處理、過濾,
不管你是用nosql還是關聯式資料庫,
這樣也只會呼叫到一次api,
呼叫花費的時間可以縮短非常多。
完整html、js如下:
<!DOCTYPE html>
<html xmlns:th="http://www.thymeleaf.org">
<head>
<script type="text/javascript" th:src="@{/js/jquery-3.3.1.min.js}" ></script>
</head>
<body >
<input type="hidden" id="kbar_data" th:value="${kbar_data}"/>
<div id="container" style="height: 600px"></div>
<script type="text/javascript" src="https://cdn.jsdelivr.net/npm/echarts@5.2.1/dist/echarts.min.js"></script>
<script type="text/javascript">
const kbar_data = $("#kbar_data").val();
const myArr = JSON.parse(kbar_data);
var dom = document.getElementById("container");
var myChart = echarts.init(dom);
var app = {};
var option;
const upColor = '#ec0000';
const upBorderColor = '#8A0000';
const downColor = '#00da3c';
const downBorderColor = '#008F28';
// Each item: open,close,lowest,highest
const data0 = splitData(myArr);
function splitData(rawData) {
const categoryData = [];
const values = [];
for (var i = 0; i < rawData.length; i++) {
categoryData.push(rawData[i].splice(0, 1)[0]);
values.push(rawData[i]);
}
return {
categoryData: categoryData,
values: values
};
}
function calculateMA(dayCount) {
var result = [];
for (var i = 0, len = data0.values.length; i < len; i++) {
if (i < dayCount) {
result.push('-');
continue;
}
var sum = 0;
for (var j = 0; j < dayCount; j++) {
sum += +data0.values[i - j][1];
}
result.push(sum / dayCount);
}
return result;
}
option = {
title: {
text: '長榮日K',
left: 0
},
tooltip: {
trigger: 'axis',
axisPointer: {
type: 'cross'
}
},
legend: {
data: ['日K', 'MA5', 'MA10', 'MA20', 'MA30']
},
grid: {
left: '10%',
right: '10%',
bottom: '15%'
},
xAxis: {
type: 'category',
data: data0.categoryData,
scale: true,
boundaryGap: false,
axisLine: { onZero: false },
splitLine: { show: false },
min: 'dataMin',
max: 'dataMax'
},
yAxis: {
scale: true,
splitArea: {
show: true
}
},
dataZoom: [
{
type: 'inside',
start: 50,
end: 100
},
{
show: true,
type: 'slider',
top: '90%',
start: 50,
end: 100
}
],
series: [
{
name: '日K',
type: 'candlestick',
data: data0.values,
itemStyle: {
color: upColor,
color0: downColor,
borderColor: upBorderColor,
borderColor0: downBorderColor
},
markPoint: {
label: {
formatter: function (param) {
return param != null ? Math.round(param.value) + '' : '';
}
},
data: [
{
name: 'Mark',
coord: ['2021/9/1', 2603],
value: 2603,
itemStyle: {
color: 'rgb(41,60,85)'
}
},
{
name: 'highest value',
type: 'max',
valueDim: 'highest'
},
{
name: 'lowest value',
type: 'min',
valueDim: 'lowest'
},
{
name: 'average value on close',
type: 'average',
valueDim: 'close'
}
],
tooltip: {
formatter: function (param) {
return param.name + '<br>' + (param.data.coord || '');
}
}
},
markLine: {
symbol: ['none', 'none'],
data: [
[
{
name: 'from lowest to highest',
type: 'min',
valueDim: 'lowest',
symbol: 'circle',
symbolSize: 10,
label: {
show: false
},
emphasis: {
label: {
show: false
}
}
},
{
type: 'max',
valueDim: 'highest',
symbol: 'circle',
symbolSize: 10,
label: {
show: false
},
emphasis: {
label: {
show: false
}
}
}
],
{
name: 'min line on close',
type: 'min',
valueDim: 'close'
},
{
name: 'max line on close',
type: 'max',
valueDim: 'close'
}
]
}
},
{
name: 'MA5',
type: 'line',
data: calculateMA(5),
smooth: true,
lineStyle: {
opacity: 0.5
}
},
{
name: 'MA10',
type: 'line',
data: calculateMA(10),
smooth: true,
lineStyle: {
opacity: 0.5
}
},
{
name: 'MA20',
type: 'line',
data: calculateMA(20),
smooth: true,
lineStyle: {
opacity: 0.5
}
},
{
name: 'MA30',
type: 'line',
data: calculateMA(30),
smooth: true,
lineStyle: {
opacity: 0.5
}
}
]
};
if (option && typeof option === 'object') {
myChart.setOption(option);
}
</script>
</body>
</html>