如何使用d3制作持续时间的条形图? [英] How to make a bar chart for time duration with d3?
问题描述
这个问题很简单,但是我真的不知道该怎么做,也不知道如何格式化我的数据.
The question is quite simple but I don't really know how to do it nor how to format my data.
我只想制作一个类似于此示例的简单条形图: http://bl.ocks. org/mbostock/3885304
I just want to make a simple bar chart like this example : http://bl.ocks.org/mbostock/3885304
但不是在X轴上显示A,B,C等,而是几天(16/01/2017、17/01/2017等),而在Z轴上我想要一个持续时间.最长为24小时.实际上,我每天都有json格式的数据,以秒为值.
But instead of having A, B, C, etc on X Axis it'll be days (16/01/2017, 17/01/2017, etc.) and on Z Axis I want a time duration. Max will be 24 hours. I actually have json formatted data for each days with seconds as value.
[
{
"date": "2017-01-08",
"uptime": 40320,
},
{
"date": "2017-01-09",
"uptime": 74460,
},
{
"date": "2017-01-10",
"uptime": 73500,
},
{
"date": "2017-01-11",
"uptime": 83640,
},
{
"date": "2017-01-12",
"uptime": 68520,
}
]
有任何提示吗?
推荐答案
您的数据格式正确.只需在链接的示例中换掉变量名即可; date
表示letter
,uptime
表示frequency
.最后,由于您的数据已经在JSON中,因此您可以内联到<script>
标记:
Your data is formatted fine. Just swap out the variable names in the linked example; date
for letter
and uptime
for frequency
. Finally since your data is already in JSON, you can inline into the <script>
tag:
<!DOCTYPE html>
<meta charset="utf-8">
<style>
.bar {
fill: steelblue;
}
.bar:hover {
fill: brown;
}
.axis--x path {
display: none;
}
</style>
<svg width="960" height="500"></svg>
<script src="https://d3js.org/d3.v4.min.js"></script>
<script>
var svg = d3.select("svg"),
margin = {
top: 20,
right: 20,
bottom: 30,
left: 40
},
width = +svg.attr("width") - margin.left - margin.right,
height = +svg.attr("height") - margin.top - margin.bottom;
var x = d3.scaleBand().rangeRound([0, width]).padding(0.1),
y = d3.scaleLinear().rangeRound([height, 0]);
var g = svg.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
var data = [{
"date": "2017-01-08",
"uptime": 40320,
}, {
"date": "2017-01-09",
"uptime": 74460,
}, {
"date": "2017-01-10",
"uptime": 73500,
}, {
"date": "2017-01-11",
"uptime": 83640,
}, {
"date": "2017-01-12",
"uptime": 68520,
}]
data.forEach(function(d){
d.uptime = d.uptime / 3600;
});
x.domain(data.map(function(d) {
return d.date;
}));
y.domain([0, d3.max(data, function(d) {
return d.uptime;
})]);
g.append("g")
.attr("class", "axis axis--x")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x));
g.append("g")
.attr("class", "axis axis--y")
.call(d3.axisLeft(y))
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", "0.71em")
.attr("text-anchor", "end")
.text("Frequency");
g.selectAll(".bar")
.data(data)
.enter().append("rect")
.attr("class", "bar")
.attr("x", function(d) {
return x(d.date);
})
.attr("y", function(d) {
return y(d.uptime);
})
.attr("width", x.bandwidth())
.attr("height", function(d) {
return height - y(d.uptime);
});
</script>
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