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나는 1d | 1w | 1m | 3m | 3m | 6m과 같은 사용자 정의 rangeselector와 같은 요구 사항을 가지고 있습니다. 임의의 rangeselector 버튼을 클릭하면 x 축 레이블 (날짜/시간)을 변경해야합니다. 1d를 클릭하면 00.00,01.00,02.00과 같은 시간별 기준을 원합니다. II 클릭 1w x 축 레이블은 jan-1입니다. 월 -2 월 3 ...highstock set 동적 x 축 레이블
제가
아래$(function() {
function getData(){
var testData = [[Date.UTC(2013,05,26,00,00),24],[Date.UTC(2013,05,26,01,00),11],[Date.UTC(2013,05,26,02,00),12],[Date.UTC(2013,05,26,03,00),16],[Date.UTC(2013,05,26,04,00),14],[Date.UTC(2013,05,26,05,00),34],[Date.UTC(2013,05,26,06,00),17],[Date.UTC(2013,05,26,07,00),24],[Date.UTC(2013,05,26,08,00),09],[Date.UTC(2013,05,26,09,00),05],[Date.UTC(2013,05,26,10,00),23],[Date.UTC(2013,05,26,11,00),20],[Date.UTC(2013,05,26,12,00),19],[Date.UTC(2013,05,26,13,00),21],[Date.UTC(2013,05,26,14,00),12],[Date.UTC(2013,05,26,15,00),15],[Date.UTC(2013,05,26,16,00),07],[Date.UTC(2013,05,26,17,00),32],[Date.UTC(2013,05,26,18,00),06],[Date.UTC(2013,05,26,19,00),12],[Date.UTC(2013,05,26,20,00),16],[Date.UTC(2013,05,26,21,00),18],[Date.UTC(2013,05,26,22,00),12],[Date.UTC(2013,05,26,23,00),14]];
return testData;
}
function secondData(){
var helloData = [[Date.UTC(2013,05,26,00,00),11],[Date.UTC(2013,05,26,01,00),21],[Date.UTC(2013,05,26,02,00),22],[Date.UTC(2013,05,26,03,00),16],[Date.UTC(2013,05,26,04,00),14],[Date.UTC(2013,05,26,05,00),34],[Date.UTC(2013,05,26,06,00),17],[Date.UTC(2013,05,26,07,00),24],[Date.UTC(2013,05,26,08,00),09],[Date.UTC(2013,05,26,09,00),05],[Date.UTC(2013,05,26,10,00),23],[Date.UTC(2013,05,26,11,00),20],[Date.UTC(2013,05,26,12,00),19],[Date.UTC(2013,05,26,13,00),21],[Date.UTC(2013,05,26,14,00),12],[Date.UTC(2013,05,26,15,00),15],[Date.UTC(2013,05,26,16,00),07],[Date.UTC(2013,05,26,17,00),32],[Date.UTC(2013,05,26,18,00),12],[Date.UTC(2013,05,26,19,00),12],[Date.UTC(2013,05,26,20,00),16],[Date.UTC(2013,05,26,21,00),11],[Date.UTC(2013,05,26,22,00),06],[Date.UTC(2013,05,26,23,00),11]];
return helloData;
}
// Create the chart
window.chart = new Highcharts.StockChart({
chart : {
renderTo : 'container',
width: 900,
events: {
load: function() {
var chart = this,
buttons = chart.rangeSelector.buttons;
var indexvalue = 0;
for(indexvalue; indexvalue<buttons.length;indexvalue++){
console.debug("clicked button is :"+buttons[indexvalue]);
}
function reset_all_buttons(){
$.each(chart.rangeSelector.buttons, function(index, value) {
value.setState(0);
});
series = chart.get('EnergyConsumption_data');
series.remove();
series = chart.get('OutDoorTemperature_data');
series.remove();
}
buttons[3].on('click', function (e) {
console.debug("button value is :"+buttons[3]);
reset_all_buttons();
chart.rangeSelector.buttons[3].setState(2);
jQuery.ajax({
data: {"CMD":"dataVisualization","chartDataType":'#fragment-3m'},
type: "GET",
url: "<%=getDataVisualization.toString()%>",
success: function(data) {
}
});
chart.xAxis[0].update({tickInterval : 24 * 3600 * 1000});
chart.addSeries({
name : 'Energy Consumption',
id : 'EnergyConsumption_data',
data : getData(),
pointInterval: 24 * 3600 * 1000
});
chart.addSeries({
name : 'OutDoor Temperature',
id : 'OutDoorTemperature_data',
data : secondData(),
pointInterval: 24 * 3600 * 1000
});
});
buttons[2].on('click', function (e) {
console.debug("hello onclick of the button ");
reset_all_buttons();
chart.rangeSelector.buttons[2].setState(2);
jQuery.ajax({
data: {"CMD":"dataVisualization","chartDataType":'#fragment-1m'},
type: "GET",
url: "<%=getDataVisualization.toString()%>",
success: function(data) {
}
});
chart.xAxis[0].update({tickInterval : 24 * 3600 * 1000});
chart.addSeries({
name : 'Energy Consumption',
id : 'EnergyConsumption_data',
data : getData(),
pointInterval: 24 * 3600 * 1000
});
chart.addSeries({
name : 'OutDoor Temperature',
id : 'OutDoorTemperature_data',
data : secondData(),
pointInterval: 24 * 3600 * 1000
});
});
buttons[1].on('click', function (e) {
console.debug("hello onclick of the button ");
reset_all_buttons();
chart.rangeSelector.buttons[1].setState(2);
jQuery.ajax({
data: {"CMD":"dataVisualization","chartDataType":'#fragment-1w'},
type: "GET",
url: "<%=getDataVisualization.toString()%>",
success: function(data) {
}
});
chart.xAxis[0].update({tickInterval : 24 * 3600 * 1000});
chart.addSeries({
name : 'Energy Consumption',
id : 'EnergyConsumption_data',
yAxis: 1,
data : [[Date.UTC(2013,05,20),12],[Date.UTC(2013,05,21),14],[Date.UTC(2013,05,22),16],[Date.UTC(2013,05,23),22],[Date.UTC(2013,05,24),11],[Date.UTC(2013,05,25),10],[Date.UTC(2013,05,26),14]],
pointInterval: 24 * 3600 * 1000
});
chart.addSeries({
name : 'OutDoor Temperature',
id : 'OutDoorTemperature_data',
data : [[Date.UTC(2013,05,20),24],[Date.UTC(2013,05,21),14],[Date.UTC(2013,05,22),16],[Date.UTC(2013,05,23),22],[Date.UTC(2013,05,24),11],[Date.UTC(2013,05,25),10],[Date.UTC(2013,05,26),14]],
pointInterval: 24 * 3600 * 1000
});
});
buttons[0].on('click', function (e) {
console.debug("hello onclick of the button ");
reset_all_buttons();
chart.rangeSelector.buttons[0].setState(2);
jQuery.ajax({
data: {"CMD":"dataVisualization","chartDataType":'#fragment-1d'},
type: "GET",
url: "<%=getDataVisualization.toString()%>",
success: function(data) {
}
});
chart.xAxis[0].update({tickInterval : 3 * 3600 * 1000,ordinal: false});
chart.addSeries({
name : 'Energy Consumption',
id : 'EnergyConsumption_data',
yAxis: 1,
data : [[Date.UTC(2013,05,26,00,00),24],[Date.UTC(2013,05,26,01,00),11],[Date.UTC(2013,05,26,02,00),12],[Date.UTC(2013,05,26,03,00),16],[Date.UTC(2013,05,26,04,00),14],[Date.UTC(2013,05,26,05,00),34],[Date.UTC(2013,05,26,06,00),17],[Date.UTC(2013,05,26,07,00),24],[Date.UTC(2013,05,26,08,00),09],[Date.UTC(2013,05,26,09,00),05],[Date.UTC(2013,05,26,10,00),23],[Date.UTC(2013,05,26,11,00),20],[Date.UTC(2013,05,26,12,00),19],[Date.UTC(2013,05,26,13,00),21],[Date.UTC(2013,05,26,14,00),12],[Date.UTC(2013,05,26,15,00),15],[Date.UTC(2013,05,26,16,00),07],[Date.UTC(2013,05,26,17,00),32],[Date.UTC(2013,05,26,18,00),06],[Date.UTC(2013,05,26,19,00),12],[Date.UTC(2013,05,26,20,00),16],[Date.UTC(2013,05,26,21,00),18]],
pointInterval: 1 * 3600 * 1000
});
chart.addSeries({
name : 'OutDoor Temperature',
id : 'OutDoorTemperature_data',
data : [[Date.UTC(2013,05,26,00,00),11],[Date.UTC(2013,05,26,01,00),21],[Date.UTC(2013,05,26,02,00),22],[Date.UTC(2013,05,26,03,00),16],[Date.UTC(2013,05,26,04,00),14],[Date.UTC(2013,05,26,05,00),34],[Date.UTC(2013,05,26,06,00),17],[Date.UTC(2013,05,26,07,00),24],[Date.UTC(2013,05,26,08,00),09],[Date.UTC(2013,05,26,09,00),05],[Date.UTC(2013,05,26,10,00),23],[Date.UTC(2013,05,26,11,00),20],[Date.UTC(2013,05,26,12,00),19],[Date.UTC(2013,05,26,13,00),21],[Date.UTC(2013,05,26,14,00),12],[Date.UTC(2013,05,26,15,00),15],[Date.UTC(2013,05,26,16,00),07],[Date.UTC(2013,05,26,17,00),32],[Date.UTC(2013,05,26,18,00),12],[Date.UTC(2013,05,26,19,00),12],[Date.UTC(2013,05,26,20,00),16],[Date.UTC(2013,05,26,21,00),11]],
pointInterval: 1 * 3600 * 1000
});
});
}
}
},
rangeSelector : {
selected : 0,
buttons: [{
type: 'day',
count: 1,
text: '1d'
},
{
type: 'week',
count: 1,
text: '1w'
},
{
type: 'month',
count: 1,
text: '1m'
}, {
type: 'month',
count: 3,
text: '3m'
}, {
type: 'month',
count: 6,
text: '6m'
}, {
type: 'ytd',
text: 'YTD'
}, {
type: 'year',
count: 1,
text: '1y'
}, {
type: 'all',
text: 'All'
}]
},
title : {
text : 'Energy Consumption/Outdoor Temperature'
},
credits: {
enabled: false
},
xAxis: {
title: {
text: 'Date/time',
type: "datetime",
tickInterval : 3 * 3600 * 1000,
dateTimeLabelFormats: {
day: '%H'
},
}
},
yAxis:[{
labels: {
formatter: function() {
return this.value +'°C';
},
style: {
color: '#89A54E'
}
},
title: {
text: 'Outdoor temperature',
style: {
color: '#89A54E'
}
},
opposite: true
},{
gridLineWidth: 0,
title: {
text: 'Energy Consumption',
style: {
color: '#4572A7'
}
},
labels: {
formatter: function() {
return this.value +' °C';
},
style: {
color: '#4572A7'
}
}
}],
tooltip: {
shared: true
},
legend: {
layout: 'vertical',
align: 'left',
x: 120,
verticalAlign: 'top',
y: 80,
floating: true,
backgroundColor: '#FFFFFF'
},
scrollbar:{
enabled:false
},
navigator: {
enabled : false
},
plotOptions: {
column: {
pointRange: 24 * 3600 * 1000
}
},
series : [{
name : 'Energy Consumption',
id : 'EnergyConsumption_data',
yAxis: 1,
data : getData(),
pointInterval: 1 * 3600 * 1000
},{
name : 'OutDoor Temperature',
id : 'OutDoorTemperature_data',
data : secondData(),
pointInterval: 1 * 3600 * 1000
}
]
});
});
1d에서 작동합니다. 같은 코드가 1w 버튼 데이터를 클릭 할 때 1w에서 작동하지 않지만 3 개의 포인트 만 렌더링하는 것이 아니라 전체 7 포인트를 렌더링합니다. 다음은 내 코드의 파일입니다.
어떤 사람은 나에게 솔루션을 제공하십시오. 미리 감사드립니다. Mahidhar