我从后端api获取数据集,它将在相同的x和y轴上具有多个数据标签。如何为'n'值实现这一点。
我尝试了1,2和4,它正在工作。但是不确定这是否是正确的方法,以及如何调整行大小和列大小来实现'n'值。
Highcharts.chart('container', {
chart: {
type: 'heatmap',
marginTop: 40,
marginBottom: 80,
plotBorderWidth: 1
},
title: {
text: 'Sales per employee per weekday'
},
xAxis: {
min: 0,
categories: ['Alexander', 'Marie', 'Maximilian', 'Sophia', 'Lukas', 'Maria', 'Leon', 'Anna', 'Tim', 'Laura']
},
yAxis: {
categories: ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday'],
title: null,
min: 0
},
colorAxis: {
min: 0,
minColor: '#FFFFFF',
maxColor: Highcharts.getOptions().colors[0]
},
legend: {
align: 'right',
layout: 'vertical',
margin: 0,
verticalAlign: 'top',
y: 25,
symbolHeight: 280
},
plotOptions: {
series: {
borderWidth: 1,
dataLabels: {
enabled: true,
color: '#000000'
},
states: {
inactive: {
opacity: 1
}
}
}
},
series: [{
name: 'Sales per employee',
data: [
[0, 1, 19],
[0, 2, 8],
[0, 3, 24],
[0, 4, 67],
[1, 0, 92],
[9, 4, 91]
]
}, {
rowsize: 0.5,
colsize: 0.5,
color: Highcharts.getOptions().colors[0],
data: [
[-0.25, 0.25, 70],
[0.25, 0.25, 60],
[-0.25, -0.25, 65],
[0.25, -0.25, 34]
]
}]
});
答案 0 :(得分:1)
我认为您的想法很好,但是为了更轻松地对齐点,您只能创建列或行。
我在下面创建了一个函数,该函数为具有相同x
和y
值的点创建新系列,并将它们对齐在一行中。
function getSeries(data) {
var i = 0,
k,
dataLength,
movement,
index = 0,
colSize,
limitVal,
series = [{
data: []
}],
newSeries;
for (i; i < data.length; i++) {
if (
data[i + 1] &&
data[i][0] === data[i + 1][0] &&
data[i][1] === data[i + 1][1]
) {
if (newSeries) {
newSeries.data.push(data[i]);
} else {
newSeries = {
data: [data[i]]
}
}
} else {
if (newSeries) {
newSeries.data.push(data[i]);
dataLength = newSeries.data.length;
newSeries.colsize = colSize = 1 / newSeries.data.length;
movement = dataLength % 2 ? 0 : colSize / 2;
limitVal = colSize * Math.floor(dataLength / 2) - movement;
for (k = -limitVal; k <= limitVal; k += colSize) {
newSeries.data[index][0] += k;
index++;
}
series.push(newSeries);
index = 0;
newSeries = null;
} else {
series[0].data.push(data[i]);
}
}
}
return series
}
Highcharts.chart('container', {
...,
series: getSeries(data)
});