Javascript (Highcharts)如果存在更高的列,如何使数据标签消失?
我有一个属性column.grouping设置为false的图表, 我只想在最高的列上显示数据标签。Javascript (Highcharts)如果存在更高的列,如何使数据标签消失?,javascript,charts,highcharts,Javascript,Charts,Highcharts,我有一个属性column.grouping设置为false的图表, 我只想在最高的列上显示数据标签。 我已经尝试了几个小时来寻找解决方案,如果有任何帮助,我将不胜感激。您可以为dataLabel编写一个格式化程序,检查它是否是该yAxis的最高值,以下是API文档: 注释后:您可以从图表对象中取出数据,并使用格式化程序选择最大的一个,fiddle: 数据标签代码: data: em, dataLabels:{ enabled: true, formatter: function(){
我已经尝试了几个小时来寻找解决方案,如果有任何帮助,我将不胜感激。您可以为dataLabel编写一个格式化程序,检查它是否是该yAxis的最高值,以下是API文档: 注释后:您可以从图表对象中取出数据,并使用格式化程序选择最大的一个,fiddle: 数据标签代码:
data: em,
dataLabels:{
enabled: true,
formatter: function(){
if(this.y > eo[this.point.index]){
return this.y;
}
}
}
你可以用
chart.yAxis[0].max;
或
以获得最大值。要进行比较,请在formatter函数中比较两者并重新运行较大的一个。我认为使用point.dataLabels.enabled选项最简单。只需在渲染图表之前预处理数据,即可确定哪些点应显示值,请参见: 和代码:
function enableLabels(d_1, d_2) {
// compare two data series and enable dataLabel for a higher column:
$.each(d_1, function (i, point) {
if (point > d_2[i]) {
d_1[i] = {
dataLabels: {
enabled: true
},
y: d_1[i]
}
} else {
d_2[i] = {
dataLabels: {
enabled: true
},
y: d_2[i]
}
}
});
return [d_1, d_2];
}
数据示例:
var data = [
[150, 73, 20],
[140, 90, 40],
[103.6, 178.8, 198.5],
[203.6, 198.8, 208.5]
];
var leftColumns = enableLabels(data[0], data[1]),
rightColumns = enableLabels(data[2], data[3]);
高图表中的示例:
series: [{
name: 'Employees',
color: 'rgba(165,170,217,1)',
data: leftColumns[0],
pointPadding: 0.3,
pointPlacement: -0.2
}, {
name: 'Employees Optimized',
color: 'rgba(126,86,134,.9)',
data: leftColumns[1],
pointPadding: 0.4,
pointPlacement: -0.2
}, {
name: 'Profit',
color: 'rgba(248,161,63,1)',
data: rightColumns[0],
tooltip: {
valuePrefix: '$',
valueSuffix: ' M'
},
pointPadding: 0.3,
pointPlacement: 0.2,
yAxis: 1
}, {
name: 'Profit Optimized',
color: 'rgba(186,60,61,.9)',
data: rightColumns[1],
tooltip: {
valuePrefix: '$',
valueSuffix: ' M'
},
pointPadding: 0.4,
pointPlacement: 0.2,
yAxis: 1
}]
以下是我的解决方案:
$(function () {
var something = {
chart: {
type: 'column'
},
title: {
text: 'Efficiency Optimization by Branch'
},
xAxis: {
categories: [
'Seattle HQ',
'San Francisco',
'Tokyo']
},
yAxis: [{
min: 0,
title: {
text: 'Employees'
}
}, {
title: {
text: 'Profit (millions)'
},
opposite: true
}],
legend: {
shadow: false
},
tooltip: {
shared: true
},
plotOptions: {
column: {
grouping: false,
shadow: false,
borderWidth: 0
},
series: {
events: {
hide: function () {
console.log(this);
},
show: function () {
console.log(this);
},
legendItemClick: function () {
for (var i = 0; i < something.series.length; i++) {
if (something.series[i].name === this.name) {
something.series[i].visible = !this.visible;
}
}
console.log(this.name);
}
}
}
},
series: [{
name: 'Employees',
color: 'rgba(165,170,217,1)',
visible: true,
data: [150, 73, 20],
pointPadding: 0.3,
pointPlacement: -0.2,
dataLabels: {
enabled: true,
formatter: function () {
var index = something.xAxis.categories.indexOf(this.x);
if ((this.y > something.series[1].data[index]) || !something.series[1].visible) {
console.log(something.series.visible);
return this.y + '*';
}
return '';
}
}
}, {
name: 'Employees Optimized',
color: 'rgba(126,86,134,.9)',
visible: true,
data: [140, 90, 40],
pointPadding: 0.4,
pointPlacement: -0.2,
dataLabels: {
enabled: true,
formatter: function () {
var index = something.xAxis.categories.indexOf(this.x);
if ((this.y > something.series[0].data[index]) || !something.series[0].visible) {
console.log(something.series.visible);
return this.y + '*';
}
return '';
}
}
}, {
name: 'Profit',
color: 'rgba(248,161,63,1)',
visible: true,
data: [193.6, 128.8, 144.5],
tooltip: {
valuePrefix: '$',
valueSuffix: ' M'
},
pointPadding: 0.3,
pointPlacement: 0.2,
yAxis: 1,
dataLabels: {
enabled: true,
formatter: function () {
var index = something.xAxis.categories.indexOf(this.x);
if ((this.y > something.series[3].data[index]) || !something.series[3].visible) {
return this.y + '*';
}
return '';
}
}
}, {
name: 'Profit Optimized',
color: 'rgba(186,60,61,.9)',
visible: true,
data: [123.6, 198.8, 208.5],
tooltip: {
valuePrefix: '$',
valueSuffix: ' M'
},
pointPadding: 0.4,
pointPlacement: 0.2,
yAxis: 1,
dataLabels: {
enabled: true,
formatter: function () {
var index = something.xAxis.categories.indexOf(this.x);
if ((this.y > something.series[2].data[index]) || !something.series[2].visible) {
console.log(something.series.visible);
return this.y + '*';
}
return '';
}
}
}]
};
$('#container').highcharts(something);
});
您要在最高点显示数据标签,还是要在最高点显示stacklabel?Datalable位于列内,stacklabel位于列的顶部OK,但从api引用来看,可用数据仅来自当前对象,因此如何比较不同系列的数据?将图表制作成一个对象,例如var chart=new Highcharts.chart{…};实际上,我不确定图表对象在运行时是否已创建,您可以通过将数据移到图表之外来实现,这里有一个不是最好但有效的解决方案:我已经有了与您相同的解决方案,但问题是当您单击图例并隐藏具有最高值的列时,值完全消失,我需要在最高可见列上显示值,这是一个更大的挑战,因为我认为绘制后您无法更改这些值。这与所问的问题也不同,也许可以重新表述您的问题?值得一看系列中的隐藏和显示事件:感谢您的回答,但正如我在Andrew post下所写的,我已经有了解决方案,我想要的是显示最高可见列的值,因此它必须动态更改。但对于最高可见列,您只需要显示一个标签,或者对于同一位置的最高列,如下所示:?对于同一位置的同一列,我必须删除以前的注释,因为这不是正确的解决方案,在您的版本中,如果您要更改利润值,它将不再正常工作。示例:对,请参阅更新的演示:-我希望避免if-else语句;现在好多了,但仍然不正确,好像要隐藏所有列,数据标签仍然可见。
var data = [
[150, 73, 20],
[140, 90, 40],
[103.6, 178.8, 198.5],
[203.6, 198.8, 208.5]
];
var leftColumns = enableLabels(data[0], data[1]),
rightColumns = enableLabels(data[2], data[3]);
series: [{
name: 'Employees',
color: 'rgba(165,170,217,1)',
data: leftColumns[0],
pointPadding: 0.3,
pointPlacement: -0.2
}, {
name: 'Employees Optimized',
color: 'rgba(126,86,134,.9)',
data: leftColumns[1],
pointPadding: 0.4,
pointPlacement: -0.2
}, {
name: 'Profit',
color: 'rgba(248,161,63,1)',
data: rightColumns[0],
tooltip: {
valuePrefix: '$',
valueSuffix: ' M'
},
pointPadding: 0.3,
pointPlacement: 0.2,
yAxis: 1
}, {
name: 'Profit Optimized',
color: 'rgba(186,60,61,.9)',
data: rightColumns[1],
tooltip: {
valuePrefix: '$',
valueSuffix: ' M'
},
pointPadding: 0.4,
pointPlacement: 0.2,
yAxis: 1
}]
$(function () {
var something = {
chart: {
type: 'column'
},
title: {
text: 'Efficiency Optimization by Branch'
},
xAxis: {
categories: [
'Seattle HQ',
'San Francisco',
'Tokyo']
},
yAxis: [{
min: 0,
title: {
text: 'Employees'
}
}, {
title: {
text: 'Profit (millions)'
},
opposite: true
}],
legend: {
shadow: false
},
tooltip: {
shared: true
},
plotOptions: {
column: {
grouping: false,
shadow: false,
borderWidth: 0
},
series: {
events: {
hide: function () {
console.log(this);
},
show: function () {
console.log(this);
},
legendItemClick: function () {
for (var i = 0; i < something.series.length; i++) {
if (something.series[i].name === this.name) {
something.series[i].visible = !this.visible;
}
}
console.log(this.name);
}
}
}
},
series: [{
name: 'Employees',
color: 'rgba(165,170,217,1)',
visible: true,
data: [150, 73, 20],
pointPadding: 0.3,
pointPlacement: -0.2,
dataLabels: {
enabled: true,
formatter: function () {
var index = something.xAxis.categories.indexOf(this.x);
if ((this.y > something.series[1].data[index]) || !something.series[1].visible) {
console.log(something.series.visible);
return this.y + '*';
}
return '';
}
}
}, {
name: 'Employees Optimized',
color: 'rgba(126,86,134,.9)',
visible: true,
data: [140, 90, 40],
pointPadding: 0.4,
pointPlacement: -0.2,
dataLabels: {
enabled: true,
formatter: function () {
var index = something.xAxis.categories.indexOf(this.x);
if ((this.y > something.series[0].data[index]) || !something.series[0].visible) {
console.log(something.series.visible);
return this.y + '*';
}
return '';
}
}
}, {
name: 'Profit',
color: 'rgba(248,161,63,1)',
visible: true,
data: [193.6, 128.8, 144.5],
tooltip: {
valuePrefix: '$',
valueSuffix: ' M'
},
pointPadding: 0.3,
pointPlacement: 0.2,
yAxis: 1,
dataLabels: {
enabled: true,
formatter: function () {
var index = something.xAxis.categories.indexOf(this.x);
if ((this.y > something.series[3].data[index]) || !something.series[3].visible) {
return this.y + '*';
}
return '';
}
}
}, {
name: 'Profit Optimized',
color: 'rgba(186,60,61,.9)',
visible: true,
data: [123.6, 198.8, 208.5],
tooltip: {
valuePrefix: '$',
valueSuffix: ' M'
},
pointPadding: 0.4,
pointPlacement: 0.2,
yAxis: 1,
dataLabels: {
enabled: true,
formatter: function () {
var index = something.xAxis.categories.indexOf(this.x);
if ((this.y > something.series[2].data[index]) || !something.series[2].visible) {
console.log(something.series.visible);
return this.y + '*';
}
return '';
}
}
}]
};
$('#container').highcharts(something);
});