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d3.js choropleth映射-如何将多个属性从CSV映射到JSON,以便可以在工具提示中使用它?

[英]d3.js choropleth map --How do I map more than one property from CSV to JSON, so I can use it in a tooltip?

我有一个用d3.js构建的Choropleth映射。 我正在将data.csv中的'Total_Score'属性映射到JSON文件中的'id'属性,并且使用该分数为状态着色。 我还将在鼠标悬停时使用工具提示显示它。

但是,我也希望能够显示CSV文件中的其他属性。 还有其他四个-“等级”,“第一”,“第二”和“第三”。 我也必须为每个地图创建地图吗? 我从来没有映射过多个地图,因此任何指导或示例都将不胜感激。

谢谢!

这是一个矮子供参考。

这是代码:

<!DOCTYPE html>
    <html lang="en">
        <head>
            <meta charset="utf-8">
            <title>Worst Drivers</title>
            <script src="http://d3js.org/d3.v3.min.js"></script>
            <script src="d3.tip.js"></script>
            <style type="text/css">
                body{
                    background:#333;
                    font-family:Helvetica, Arial, sans-serif;
                    font-size:13px;
                    color:#fff;
                    padding:0px;
                    margin:0px;
                }
                h1{
                    margin:50px 0px 0px;
                    text-align:center;
                    font-size:30px;
                    font-weight:normal;
                }
                h2{
                    margin:0px;
                    padding:0px;
                }
                h4{
                    font-size:16px;
                }
                a{
                    text-decoration: none;
                    color: #2bbe8c;
                }
                #panel{
                    background:#fff;
                    color:#111;
                    width:27%;
                    height:100%;
                    float:right;
                    padding:3%;
                }
                #map{
                    width:66%;
                    float:left;
                }
                .sources{
                    font-size:12px;
                }
                .d3-tip{
                    background:#000;
                    opacity:.7;
                    padding:20px;
                    border-radius:3px;
                }
                .statename{
                    font-size:16px;
                }
                .mainno{
                    font-size:14px;
                }
                #legend{
                    position:absolute;
                    width:66%;
                    height:20px;
                }
                #legendinner{
                    margin:0 auto;
                    position:relative;
                    width:245px;
                }
                .legendleft{
                    width:50px;
                    float:left;
                    margin:0px;
                }
                .legendright{
                    width:50px;
                    float:right;
                    text-align:right;
                    margin:0px;
                }
            </style>
        </head>
        <body>
            <div id="container">
                <div id="map">
                    <div id="legend">
                        <div id="legendinner">
                            <svg width="250" height="15">
                                <rect x="0" y="0" width="50" height="10" fill="#041e47"></rect>
                                <rect x="50" y="0" width="50" height="10" fill="#063685"></rect>
                                <rect x="100" y="0" width="50" height="10" fill="#0449bb"></rect>
                                <rect x="150" y="0" width="50" height="10" fill="#055ced"></rect>
                                <rect x="200" y="0" width="50" height="10" fill="#5092ff"></rect>
                            </svg>
                            <p class="legendleft">Most</p>
                            <p class="legendright">Least</p>
                        </div>
                    </div>
                </div>
            </div>

            <script type="text/javascript">

                //Width and height
                var w = Math.max(window.innerWidth) / 3 *2;
                var h = Math.max(window.innerHeight) - 100;

                //Create SVG element
                map  = d3.select("#map")
                         .append("svg")
                                 .attr("id", "usstates")
                         .attr("width",  w)
                         .attr("height", h);

          var maph = document.getElementById('usstates').clientHeight;

                d3.select("#legend")
                .style("top", maph + 150 + "px");

                //Define map projection
                var p = d3.geo.albersUsa()
                        .translate([w/2, h/2])
                        .scale([1000]);

                //Define path generator
                var path = d3.geo.path()
                        .projection(p);



              //load the geoJSON file for drawing the map
                d3.json("states.json", function(error, states) {

                    var newDict = {}; //mapping for choropleth
                    var tip = d3.tip()
                            .attr('class', 'd3-tip')
                            .offset([40, 0])
                            .html(function(d,i) { 
                                return "<span class='statename'>" + d.properties.name + "</span>" + 
                                "<hr/>" +
                                "<span class='mainno'>Total Score: " + newDict[d.id] + 
                                "<br/>rank: </span>" +
                                "<hr/>" + 
                                "First: " +
                                "<br/>Second: " +
                                "<br/>Third: " ;
                            })

                    var mapstates = map.append("svg:g")
                            .attr("id", "states")
                            .style("fill", "#dedee0")
                            .style("stroke", "#aaa")
                            .style("stroke-width", .5);

                            mapstates.call(tip);

                    mapstates
                                    .selectAll("path")
                                    .data(states.features)
                                .enter().append("path")
                                .attr("d", path);

                        d3.csv("data.csv", function(error, data) {

                            data.forEach(function(d){
                              d.rank = + d.rank;
                                d.Total_Score   = +d.Total_Score;
                              newDict[d.id] = +d.Total_Score;
                            });

                            var minValue = d3.min(data, function(d,data) { return d.Total_Score; });
                            var maxValue = d3.max(data, function(d,data) { return d.Total_Score; });

                            //Quantize scale for map
                            var color = d3.scale.quantize()
                                    .domain([minValue, maxValue])
                                    .range(["#041e47", "#063685", "#0449bb", "#055ced", "#5092ff"]);



                            mapstates
                                            .selectAll("path")
                                        .attr("d", path)
                                            .on('mouseover', function(d) {

                                               d3.select(this).style('fill-opacity', .75);
                                            })
                                            .on('mouseout', function(d){
                                                d3.select(this).style("fill-opacity", 1);
                                            })
                                            .on('mouseover', tip.show)
                                            .on('mouseout', tip.hide)
                                            .attr("class", function(d){return newDict[d.id];})
                                            .attr("fill", function(d) { return color(newDict[d.id]); })
                                            .text("heyo");

                            mapstates.selectAll("text")
                                            .data(states.features)
                                            .enter()
                                            .append("text")
                                            .html(function(d){
                                                 return d.properties.abbr + ": " + newDict[d.id] ;
                                            })
                                            .attr("x", function(d){
                                                return path.centroid(d)[0];
                                            })
                                            .attr("y", function(d){
                                                 return  path.centroid(d)[1];
                                            })
                                            .attr("text-anchor","middle")
                                            .attr('font-size',11)
                                            .attr('font-weight', 'normal');

                        }); //close csv
                }); // close json

            </script>
        </body>
    </html>

data.csv文件:

"State","id","first","second","third","TotalScore","rank"
    "Alabama",1,15,24,29,113,18
    "Alaska",2,22,51,50,195,49
    "Arizona",4,14,28,41,109,14
    "Arkansas",5,5,21,43,141,28
    "California",6,42,26,39,146,33
    "Colorado",8,33,4,24,101,11
    "Connecticut",9,48,44,9,185,47
    "Delaware",10,21,31,12,74,7
    "District of Columbia",11,51,8,32,139,27
    "Florida",12,19,29,30,131,24
    "Georgia",13,28,11,46,147,34
    "Hawaii",15,20,33,6,70,5
    "Idaho",16,27,20,36,152,38
    "Illinois",17,39,39,10,125,22
    "Indiana",18,36,19,34,165,42
    "Iowa",19,25,38,48,205,50
    "Kansas",20,17,15,47,151,37
    "Kentucky",21,6,2,49,131,24
    "Louisiana",22,7,5,19,71,6
    "Maine",23,26,10,17,103,12
    "Maryland",24,41,50,18,141,28
    "Massachusetts",25,50,37,8,156,39
    "Michigan",26,37,42,37,179,45
    "Minnesota",27,49,34,35,205,50
    "Mississippi",28,8,12,26,111,17
    "Missouri",29,24,18,13,91,10
    "Montana",30,3,6,1,59,2
    "Nebraska",31,29,16,7,141,28
    "Nevada",32,30,14,14,79,8
    "New Hampshire",33,43,46,33,190,48
    "New Jersey",34,46,43,21,160,40
    "New Mexico",35,11,27,42,109,14
    "New York",36,40,36,20,143,31
    "North Carolina",37,23,35,23,109,14
    "North Dakota",38,4,3,2,66,4
    "Ohio",39,35,22,15,135,26
    "Oklahoma",40,9,1,31,87,9
    "Oregon",41,34,49,45,184,46
    "Pennsylvania",42,18,32,25,105,13
    "Rhode Island",44,44,48,4,147,34
    "South Carolina",45,1,30,3,54,1
    "South Dakota",46,10,7,11,114,20
    "Tennessee",47,13,25,27,143,31
    "Texas",48,12,23,5,63,3
    "Utah",49,45,9,51,169,44
    "Vermont",50,31,13,40,113,18
    "Virginia",51,38,40,38,163,41
    "Washington",53,47,47,22,165,42
    "West Virginia",54,2,45,44,116,21
    "Wisconsin",55,32,17,16,130,23
    "Wyoming",56,16,41,28,149,36

(我无法在此处粘贴states.json文件,因为它超出了帖子允许的正文大小,但是如果您进入了Plunker ,则可以看到它。)

您可以创建对象并将其放在newDict中。 任何其他集合也将起作用。

以下是添加具有rank和score属性的新对象的代码。

data.forEach(function(d){
  d.rank = d.rank;
  d.Total_Score = d.Total_Score;
  newDict[d.id] = {rank:d.rank, score:d.Total_Score};
});

然后可以像普通对象一样使用它们。

mapstates
    .selectAll("path")
    .attr("d", path)
    .on('mouseover', function(d) {
        d3.select(this).style('fill-opacity', .75);
    })
    .on('mouseout', function(d){
        d3.select(this).style("fill-opacity", 1);
    })
    .on('mouseover', tip.show)
    .on('mouseout', tip.hide)
    .attr("class", function(d){return newDict[d.id];})
    attr("fill", function(d) { return color(newDict[d.id].score); });

添加任意数量的值是对data.forEach闭包的简单添加。

这是我为实现这些目标所做的一些改变的分支

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