我正在尝试使用D3创建图表,以便我们可以分析基于城市的数据。由于数据来自后端,我不想使用JSON文件,而是创建一个JSON对象并将其传递给D3以呈现图形。我正在附上我正在处理的代码。任何有关这方面的帮助都会非常有用。
<!DOCTYPE html>
<html>
<%@ page language="java" import="java.util.*, java.lang.*"%>
<meta charset="utf-8">
<style>
.bar {
fill: steelblue;
}
.bar:hover {
fill: brown;
}
.axis {
font: 10px sans-serif;
}
.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
.x.axis path {
display: none;
}
</style>
<body>
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min.js"></script>
<script>
var stringTry = '${city}';
var city = [];
var trial;
while(!(stringTry.indexOf('\,')== -1)){
trial = stringTry.substring(0,stringTry.indexOf('\,'));
if(trial.indexOf('\[')==0){
trial = trial.substring(1,trial.length);
}else{
trial = trial;
}
city.push(trial);
stringTry = stringTry.substring((stringTry.indexOf('\,')+1),stringTry.length);
}
trial = stringTry.substring(0,stringTry.indexOf('\]'));
city.push(trial);
var stringTry2 = '${frequency}';
var frequency = [];
var trial2;
while(!(stringTry2.indexOf('\,')== -1)){
trial2 = stringTry2.substring(0,stringTry2.indexOf('\,'));
if(trial2.indexOf('\[')==0){
trial2 = trial2.substring(1,trial.length);
}else{
trial2 = trial2;
}
frequency.push(trial2);
stringTry2 = stringTry2.substring((stringTry2.indexOf('\,')+1),stringTry2.length);
}
trial2 = stringTry2.substring(0,stringTry2.indexOf('\]'));
frequency.push(trial2);
var test = []
test.push("\{\"city\"\:"+city[0]);
for (var i=1;i<(city.length-1);i++){
test.push(city[i]);
}
test.push(city[city.length-1]+"\}");
var test2 = [];
test2.push("\{\"frequency\"\:"+frequency[0]);
for (var j=1;j<(frequency.length-1);j++){
test2.push(frequency[j]);
}
test2.push(frequency[frequency.length-1]+"\}");
var dataArray = [];
data.push(test);
data.push(test2);
var margin = {top: 20, right: 20, bottom: 30, left: 40},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var x = d3.scale.ordinal()
.rangeRoundBands([0, width], .1);
var y = d3.scale.linear()
.range([height, 0]);
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left")
.ticks(10);
var svg = d3.select("body").append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
//d3.json('${file}', type, function(error, data) {
// if (error) throw error;
x.domain(dataArray.map(function(d) { return d.city; }));
y.domain([0, d3.max(dataArray, function(d) { return d.frequency; })]);
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
svg.append("g")
.attr("class", "y axis")
.call(yAxis)
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", ".71em")
.style("text-anchor", "end")
.text("Frequency");
svg.selectAll(".bar")
.data(dataArray)
.enter().append("rect")
.attr("class", "bar")
.attr("x", function(d) { return x(d.city); })
.attr("width", x.rangeBand())
.attr("y", function(d) { return y(d.frequency); })
.attr("height", function(d) { return height - y(d.frequency); });
//});
function type(d) {
d.frequency = +d.frequency;
return d;
}
</script>**strong text**