大家好,请帮助我,以下是我的代码。所以实际上我将所有条形颜色都变成了黑色,我的要求是动态生成具有不同值,不同颜色梯度的条形颜色,不需要在条形之间放置空格,只需要根据我提供的数据绘制具有不同颜色的条形图即可**
var chartdata = [10, 21, 30, 40, 50, 60, 70, 80, 90, 100, 110, 120,
135, 150, 165, 180, 200, 220, 240, 270, 300, 330, 370, 410
];
var margin = {
top: 30,
right: 10,
bottom: 30,
left: 50
}
var height = 400 - margin.top - margin.bottom,
width = 720 - margin.left - margin.right,
barWidth = 40,
barOffset = 20;
var dynamicColor;
var yScale = d3.scaleLinear()
.domain([0, d3.max(chartdata)])
.range([0, height])
var xScale = d3.scaleBand()
.domain(d3.range(0, chartdata.length))
.range([0, width])
var colors = d3.scaleLinear()
.domain([0, chartdata.length * .33, chartdata.length * .66, chartdata.length])
.range(['#d6e9c6', '#bce8f1', '#faebcc', '#ebccd1'])
var awesome = d3.select('#bar-chart').append('svg')
.attr('width', width + margin.left + margin.right)
.attr('height', height + margin.top + margin.bottom)
.style('background', '#bce8f1')
.append('g')
.attr('transform', 'translate(' + margin.left + ', ' + margin.top + ')')
.selectAll('rect').data(chartdata)
.enter().append('rect')
.attr('width', xScale.bandwidth())
.attr('x', function(data, i) {
return xScale(i);
})
.attr('height', 0)
.attr('y', height)
.on('mouseover', function(data) {
dynamicColor = this.style.fill;
d3.select(this)
.style('fill', '#3c763d')
})
.on('mouseout', function(data) {
d3.select(this)
.style('fill', dynamicColor)
})
awesome.transition()
.attr('height', function(data) {
return yScale(data);
})
.attr('y', function(data) {
return height - yScale(data);
})
.delay(function(data, i) {
return i * 20;
})
.duration(2000)
.ease(d3.easeElastic)
var verticalGuideScale = d3.scaleLinear()
.domain([0, d3.max(chartdata)])
.range([height, 0])
var vAxis = d3.axisLeft(verticalGuideScale)
.ticks(10)
var verticalGuide = d3.select('svg').append('g')
vAxis(verticalGuide)
verticalGuide.attr('transform', 'translate(' + margin.left + ', ' + margin.top + ')')
verticalGuide.selectAll('path')
.styles({
fill: 'none',
stroke: "#3c763d"
})
verticalGuide.selectAll('line')
.styles({
stroke: "#3c763d"
})
var hAxis = d3.axisBottom(xScale)
.ticks(chartdata.size)
var horizontalGuide = d3.select('svg').append('g')
hAxis(horizontalGuide)
horizontalGuide.attr('transform', 'translate(' + margin.left + ', ' + (height + margin.top) + ')')
horizontalGuide.selectAll('path')
.styles({
fill: 'none',
stroke: "#3c763d"
})
horizontalGuide.selectAll('line')
.styles({
stroke: "#3c763d"
});
<script src="https://d3js.org/d3.v4.min.js"></script>
<script src="https://d3js.org/d3-selection-multi.v1.min.js"></script>
<div class="someclass">
<h2>barchart</h2>
<div id="bar-chart">
</div>
</div>
答案 0 :(得分:2)
您好,尝试以下代码
var chartdata = [10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 110, 120,
135, 150, 165, 180, 200, 220, 240, 270, 300, 330, 370, 410
];
var margin = {
top: 30,
right: 10,
bottom: 30,
left: 50
}
var height = 400 - margin.top - margin.bottom,
width = 720 - margin.left - margin.right,
barWidth = 40,
barOffset = 20;
var dynamicColor;
var yScale = d3.scaleLinear()
.domain([0, d3.max(chartdata)])
.range([0, height])
var xScale = d3.scaleBand()
.domain(d3.range(0, chartdata.length))
.range([0, width])
var colors = d3.scaleLinear()
.domain([0, chartdata.length * .33, chartdata.length * .66, chartdata.length])
.range(['#d6e9c6', '#bce8f1', '#faebcc', '#ebccd1'])
var awesome = d3.select('#bar-chart').append('svg')
.attr('width', width + margin.left + margin.right)
.attr('height', height + margin.top + margin.bottom)
.style('background', '#bce8f1')
.append('g')
.attr('transform', 'translate(' + margin.left + ', ' + margin.top + ')')
.selectAll('rect').data(chartdata)
.enter().append('rect')
.styles({
'fill': function(data, i) {
return colors(i);
},
'stroke': '#31708f',
'stroke-width': '1'
})
.attr('width', xScale.bandwidth())
.attr('x', function(data, i) {
return xScale(i);
})
.attr('height', 0)
.attr('y', height)
.on('mouseover', function(data) {
dynamicColor = this.style.fill;
d3.select(this)
.style('fill', '#3c763d')
})
.on('mouseout', function(data) {
d3.select(this)
.style('fill', dynamicColor)
})
awesome.transition()
.attr('height', function(data) {
return yScale(data);
})
.attr('y', function(data) {
return height - yScale(data);
})
.delay(function(data, i) {
return i * 20;
})
.duration(2000)
.ease(d3.easeElastic)
var verticalGuideScale = d3.scaleLinear()
.domain([0, d3.max(chartdata)])
.range([height, 0])
var vAxis = d3.axisLeft(verticalGuideScale)
.ticks(10)
var verticalGuide = d3.select('svg').append('g')
vAxis(verticalGuide)
verticalGuide.attr('transform', 'translate(' + margin.left + ', ' + margin.top + ')')
verticalGuide.selectAll('path')
.styles({
fill: 'none',
stroke: "#3c763d"
})
verticalGuide.selectAll('line')
.styles({
stroke: "#3c763d"
})
var hAxis = d3.axisBottom(xScale)
.ticks(chartdata.size)
var horizontalGuide = d3.select('svg').append('g')
hAxis(horizontalGuide)
horizontalGuide.attr('transform', 'translate(' + margin.left + ', ' + (height + margin.top) + ')')
horizontalGuide.selectAll('path')
.styles({
fill: 'none',
stroke: "#3c763d"
})
horizontalGuide.selectAll('line')
.styles({
stroke: "#3c763d"
});
我刚刚添加
.styles({
'fill': function(data, i) {
return colors(i);
},
'stroke': '#31708f',
'stroke-width': '1'
})