我试图在nvd3库中的lineplusbargraph中的上一行中加上2点的差值,但没有找到任何方法。我可以读取xml文件,而不是在他的图表上使用简单的值。我想用条形图和线图显示不同月份的数据使用差异。
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<link href="../build/nv.d3.css" rel="stylesheet" type="text/css">
<script src="../build/d3.min.js" charset="utf-8"></script>
<script src="../build/nv.d3.js"></script>
<style>
text {
font: 12px sans-serif;
}
svg {
display: block;
}
html, body, #chart1, svg {
margin: 0px;
padding: 0px;
height: 100%;
width: 100%;
}
button {
margin: 2px;
margin-left: 80px;
}
</style>
</head>
<body>
<div style="position:absolute; top: 0; left: 0;">
<button onclick="chart.switchYAxisOrder(!chart.switchYAxisOrder()); chart.update();">toggle axis</button>
<button onclick="chart.focusEnable(!chart.focusEnable()); chart.update();">toggle focus</button>
<span style="color: #C60;"><-- turn focus on or off!</span>
</div>
<div id="chart1" class='with-3d-shadow with-transitions'>
<svg> </svg>
</div>
<script>
var testdata = [
{
"key" : "Quantity" ,
"bar": true,
"values" : [ [ 1136005200000 , 127100.0] , [ 1172638800000 , 564700.0], [ 1217476800000 , 2732646.0], [ 1277870400000 , 1309915.0] , [ 1335758400000 , 514733.0] ]
},
{
"key" : "Quantity" ,
"values" : [ [ 1136005200000 , 127100.0] , [ 1172638800000 , 564700.0], [ 1217476800000 , 2732646.0], [ 1277870400000 , 1309915.0] , [ 1335758400000 , 514733.0]]
}
].map(function(series) {
series.values = series.values.map(function(d) { return {x: d[0], y: d[1] } });
return series;
});
var chart;
nv.addGraph(function() {
chart = nv.models.linePlusBarChart()
.margin({top: 50, right: 80, bottom: 30, left: 80})
.legendRightAxisHint(' [Using Right Axis]')
.color(d3.scale.category10().range())
.options({focusEnable: false});
chart.xAxis.tickFormat(function(d) {
return d3.time.format('%x')(new Date(d))
}).showMaxMin(false);
chart.y2Axis.tickFormat(function(d) { return '$' + d3.format(',f')(d) });
chart.bars.forceY([0]).padData(false);
chart.x2Axis.tickFormat(function(d) {
return d3.time.format('%x')(new Date(d))
}).showMaxMin(false);
d3.select('#chart1 svg')
.datum(testdata)
.transition().duration(500).call(chart);
nv.utils.windowResize(chart.update);
chart.dispatch.on('stateChange', function(e) { nv.log('New State:', JSON.stringify(e)); });
return chart;
});
</script>
</body>
</html>
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