di-echarts
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Apache ECharts is a powerful, interactive charting and data visualization library for browser
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HTML
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<html>
<head>
<meta charset="utf-8">
<script src="lib/simpleRequire.js"></script>
<script src="lib/config.js"></script>
<script src="lib/testHelper.js"></script>
<meta name="viewport" content="width=device-width, initial-scale=1" />
<link rel="stylesheet" href="lib/reset.css" />
</head>
<body>
<style>
h1 {
line-height: 60px;
height: 60px;
background: #ddd;
text-align: center;
font-weight: bold;
font-size: 14px;
}
.chart {
height: 350px;
}
</style>
<h1>define dim name in tooltip</h1>
<div class="chart" id="dim"></div>
<h1>change tooltip order (Tooltip of the first series should be: median, 1分位, Q3)</h1>
<div class="chart" id="order"></div>
<h1>define which dim on x or y. encode: {x: 2, y: 1, label: 4}</h1>
<div class="chart" id="dimXY"></div>
<div class="chart" id="ignoreX"></div>
<script>
require([
'echarts',
'data/security-sh-2013.json.js'
], function (echarts, rawData) {
var dom = document.getElementById('dim');
if (!dom) {
return;
}
var chart = echarts.init(dom);
function splitData(rawData) {
var categoryData = [];
var 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
};
}
var data = splitData(rawData);
chart.setOption({
legend: {
data: ['上证指数', '开盘']
},
tooltip: {
trigger: 'axis',
axisPointer: {
type: 'line'
}
},
grid: {
left: '10%',
right: '10%',
bottom: '15%'
},
xAxis: {
type: 'category',
data: data.categoryData,
scale: true,
boundaryGap : false,
axisLine: {onZero: false},
splitLine: {show: false},
splitNumber: 20,
min: 'dataMin',
max: 'dataMax'
},
yAxis: {
scale: true,
splitArea: {
show: true
}
},
dataZoom: [
{
type: 'inside',
start: 50,
end: 100
},
{
show: true,
type: 'slider',
y: '90%',
start: 50,
end: 100
}
],
series: [
{
name: 'line',
type: 'line',
data: (function () {
opens = [];
for (var i = 0, len = data.values.length; i < len; i++) {
opens.push(data.values[i][0]);
}
return opens;
})(),
smooth: true,
lineStyle: {
normal: {color: '#aaa'}
}
},
{
name: '上证指数',
type: 'candlestick',
dimensions: ['base', '开盘', '收盘', '最高', '最低'],
data: data.values
}
]
});
})
</script>
<script>
var chart;
var data;
require([
'echarts'
], function (echarts) {
data = [];
for (var seriesIndex = 0; seriesIndex < 5; seriesIndex++) {
var seriesData = [];
for (var i = 0; i < 18; i++) {
var cate = [];
for (var j = 0; j < 100; j++) {
cate.push(Math.random() * 200);
}
seriesData.push(cate);
}
data.push(seriesData);
}
var option = {
title: [
{
text: 'Multiple Categories',
left: 'center',
}
],
legend: {
top: '10%',
data: ['category0', 'category1', 'category2', 'category3']
},
tooltip: {
trigger: 'axis',
axisPointer: {
type: 'shadow'
}
},
grid: {
left: '10%',
top: '20%',
right: '10%',
bottom: '15%'
},
xAxis: {
type: 'category',
data: data[0].axisData,
boundaryGap: true,
nameGap: 30,
splitArea: {
show: true
},
axisLabel: {
formatter: 'expr {value}'
},
splitLine: {
show: false
}
},
yAxis: {
type: 'value',
name: 'Value',
splitArea: {
show: false
}
},
dataZoom: [
{
type: 'inside',
start: 0,
end: 20
},
{
show: true,
height: 20,
type: 'slider',
bottom: 50,
xAxisIndex: [0],
yAxisIndex: [],
start: 0,
end: 20
}
],
dataset: [{
source: data[0]
}, {
source: data[1]
}, {
transform: {
type: 'boxplot'
}
}, {
transform: {
type: 'boxplot'
}
}],
series: [
{
name: 'category0',
type: 'boxplot',
dimensions: [null, '最小', '1分位'],
encode: {
tooltip: [3, 2, 4]
},
datasetIndex: 2
},
{
name: 'category1',
type: 'boxplot',
datasetIndex: 3
}
]
};
testHelper.createChart(echarts, 'order', option);
})
</script>
<script>
require([
'echarts'
], function (echarts) {
data = [
['Blouse "Blue Viola"', 101.88, 99.75, 23, 17, 32, 18],
['Dress "Daisy"', 155.8, 144.03, 18, 12, 26, 33],
['Trousers "Cutesy Classic"', 203.25, 173.56, 22, 14, 20, 46],
['Dress "Morning Dew"', 256.0, 120.5, 22, 16, 20, 23],
['Turtleneck "Dark Chocolate"', 408.89, 294.75, 18, 22, 23, 19],
['Jumper "Early Spring"', 427.36, 430.24, 23, 22, 28, 34],
['Breeches "Summer Mood"', 356.0, 135.5, 12, 16, 23, 31],
['Dress "Mauve Chamomile"', 406.0, 95.5, 22, 16, 40, 23],
['Dress "Flying Tits"', 527.36, 503.24, 15, 22, 42, 24],
['Dress "Singing Nightingales"', 587.36, 543.24, 25, 12, 28, 37],
['Sundress "Cloudy weather"', 603.36, 407.24, 15, 12, 22, 24],
['Sundress "East motives"', 633.36, 477.24, 32, 10, 39, 19],
['Sweater "Cold morning"', 517.36, 437.24, 21, 17, 29, 48],
['Trousers "Lavender Fields"', 443.36, 387.24, 17, 26, 31, 41],
['Jumper "Coffee with Milk"', 543.36, 307.24, 19, 10, 34, 31],
['Blouse "Blooming Cactus"', 790.36, 277.24, 23, 18, 26, 28],
['Sweater "Fluffy Comfort"', 790.34, 678.34, 18, 12, 28, 34]
];
var encode = {
x: 0,
y: [1, 2]
};
var option = {
tooltip: {
axisPointer: {
type: 'cross'
}
},
dataZoom: [{
type: 'slider',
start: 50,
end: 70
}, {
type: 'inside',
start: 50,
end: 70
}],
xAxis: {},
yAxis: {},
series: [{
type: 'scatter',
data: data,
encode: {
x: 2,
y: 1,
label: 4
},
itemStyle: {
normal: {
color: '#77bef7'
}
},
label: {
normal: {
show: true,
position: 'top',
textStyle: {
color: '#333'
}
}
}
}]
};
testHelper.createChart(echarts, 'dimXY', option);
});
</script>
<script>
var chart;
var myChart;
var option;
require([
'echarts'/*, 'map/js/china' */
], function (echarts) {
var option = {
title: {
text: 'deafault (filter)'
},
xAxis: {},
yAxis: {},
dataZoom: [{
type: 'inside',
xAxisIndex: 0
}, {
type: 'slider',
xAxisIndex: 0
}, {
type: 'inside',
yAxisIndex: 0
}, {
type: 'slider',
yAxisIndex: 0
}],
series: [{
type: 'custom',
renderItem: function (params, api) {
var y = api.coord([0, api.value(0)])[1];
var x = 100;
return {
type: 'circle',
shape: {
cx: x,
cy: y,
r: 30
},
style: {
fill: 'blue'
}
};
},
encode: {
x: -1,
y: 0
},
data: [
[122, null],
[333, null]
]
}, {
type: 'scatter',
data: [[21, 43], [55, 66]]
}]
};
chart = myChart = testHelper.create(echarts, 'ignoreX', {
option: option,
title: [
'series not controlled by xAxis but only by yAxis',
'x axis can not filter blue circle, but y axis can do'
],
info: option.series[0].encode,
buttons: [{
text: 'filterMode: weakFilter',
onclick: function () {
option.dataZoom[0].filterMode = option.dataZoom[1].filterMode = 'weakFilter';
option.title.text = 'filterMode: weakFilter';
chart.setOption(option, true);
}
}, {
text: 'filterMode: deafault (filter)',
onclick: function () {
option.dataZoom[0].filterMode = option.dataZoom[1].filterMode = void 0;
option.title.text = 'deafault (filter)'
chart.setOption(option, true);
}
}, {
text: 'filterMode: empty',
onclick: function () {
option.dataZoom[0].filterMode = option.dataZoom[1].filterMode = 'empty';
option.title.text = 'filterMode: empty';
chart.setOption(option, true);
}
}, {
text: 'filterMode: none',
onclick: function () {
option.dataZoom[0].filterMode = option.dataZoom[1].filterMode = 'none'
option.title.text = 'filterMode: none';
chart.setOption(option, true);
}
}]
});
});
</script>
</body>
</html>