我正在尝试制作一个图表,显示两个不同的数据集。 两者均在12个月内分发,但是一组数据仅与当月开始相关。
I have something like this example (JSFiddle)
Highcharts.chart('container', {
chart: {
type: 'column'
},
title: {
text: 'Monthly Average Temperature'
},
subtitle: {
text: 'Source: WorldClimate.com'
},
xAxis: {
categories: ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec']
},
yAxis: {
title: {
text: 'Temperature (°C)'
}
},
plotOptions: {
column: {
dataLabels: {
enabled: true
},
enableMouseTracking: false
}
},
series: [{
name: 'Tokyo',
data: [7.0, 6.9, 9.5, 14.5, 18.4, 21.5, 25.2, 26.5, 23.3, 18.3, 13.9, 9.6]
}, {
name: 'London',
data: [4.2, 5.7, 8.5, 11.9, 15.2, 17.0, 16.6, 14.2, 10.3, 6.6, 4.8],
pointStart: 1
}]
});
我的问题是我想在第二个数据开始之前用单列显示数据。
例如,在上面链接的JSFiddle中,我想将January设置为较宽的列,而不是将右侧为空白的细列。有可能吗?
感谢阅读。
答案 0 :(得分:1)
例如,在上面链接的JSFiddle中,我想将1月设置为 较宽的列,而不是较薄的列(在右侧保留空白)。 有可能吗?
可以,但是需要一些自定义代码。更好的解决方案是将单列居中。
代码:
var maxGroupedColumns = 0;
Highcharts.chart('container', {
chart: {
type: 'column',
events: {
load: function() {
var newSeriesArr = [],
chart = this,
groupedSeries = {},
pointOffset;
// create a new series for each point
for (var i = chart.series.length - 1; i >= 0; i--) {
var series = chart.series[i];
var pointsInSeries = series.points.length;
for (var j = pointsInSeries - 1; j >= 0; j--) {
var point = series.points[j];
// omit the point if its y value equals to 0
if (!point.y) {
continue;
}
// make sure that x property of each point is initialized
point.options.x = point.x;
var newSeriesOptions = {
data: [point.options],
// move relevant options from the original series
color: series.color,
name: series.name,
// linking series items in legend
linkedTo: series.options.id
};
if (!groupedSeries[point.x]) {
// create group
groupedSeries[point.x] = [];
}
// create series and assign it to group
groupedSeries[point.x].push(chart.addSeries(newSeriesOptions, false));
if (groupedSeries[point.x].length > maxGroupedColumns) {
// update max grouped columns number
maxGroupedColumns = groupedSeries[point.x].length;
}
point.remove(false);
}
//series.remove(false);
series.setData([]);
}
// handle pointPlacement for each series
pointOffset = 1 / maxGroupedColumns;
for (var x in groupedSeries) {
var group = groupedSeries[x];
group.forEach(function(series, index) {
series.update({
pointPlacement: pointOffset * index - ((group.length - 1) * pointOffset) / 2,
}, false);
});
}
chart.redraw();
}
}
},
title: {
text: 'Monthly Average Temperature'
},
subtitle: {
text: 'Source: WorldClimate.com'
},
xAxis: {
categories: ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec']
},
yAxis: {
title: {
text: 'Temperature (°C)'
}
},
plotOptions: {
column: {
dataLabels: {
enabled: true
},
grouping: false,
pointRange: 1,
pointPadding: 0.25,
}
},
series: [{
name: 'Tokyo',
id: 'Tokyo',
data: [7.0, 6.9, 9.5, 14.5, 18.4, 21.5, 25.2, 26.5, 23.3, 18.3, 13.9, 9.6]
}, {
name: 'London',
id: 'London',
data: [null, 4.2, 5.7, 8.5, 11.9, 15.2, 17.0, 16.6, 14.2, 10.3, 6.6, 4.8]
}]
});