Reputation: 768
i'm trying to make a chart that shows two diferent sets of data. Both are distributed in 12 month, but one set of data is only relevant from the current month onwards.
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
}]
});
My problem is that i would like to show the data from before the start of the second data with one single column.
For example, in the JSFiddle linked above i'd like to se January as a wider column instead of the thin one with an empty space on the right. Is that possible?
Thanks for reading.
Upvotes: 0
Views: 35
Reputation: 7372
For example, in the JSFiddle linked above i'd like to se January as a wider column instead of the thin one with an empty space on the right. Is that possible?
It is possible, however it will require a bit of custom code. The better solution is to centre the single column.
Code:
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]
}]
});
Demo: https://jsfiddle.net/wchmiel/1wph8ojx/3/
Upvotes: 1