D3.js 轮廓密度()函数

d3.contourDensity()函数用于构造具有默认设置的新密度估计器函数。密度估计函数估计给定数据集的密度。

句法：

d3.contourDensity();

参数：此函数不带任何参数。

返回值：此函数返回一个函数。

下面给出了上面给出的函数的几个例子。

示例 1：

 
 
 
     
     
  
     
     
    
    
 
 
    GeeksforGeeks
      
     
        // append the svg object to the body.
        var svg = d3.select("body")
        .append("svg")
        .attr("width", 530)
        .attr("height", 480)
        .append("g")
        .attr("transform",
        "translate(" + 40 + ", " + 0 + ")");
  
        // Read data
        d3.csv("./data.csv", function(data) {
              
            var y = d3.scaleLinear()
            .domain([5, 30])
            .range([ 450, 10 ]);
  
            var x = d3.scaleLinear()
            .domain([5, 22])
            .range([ 0, 460]);
  
  
            svg.append("g")
            .call(d3.axisLeft(y));
          
            svg.append("g")
            .attr("transform","translate(0, " + 450 + ")")
            .call(d3.axisBottom(x));
  
            var densityData = d3.contourDensity()
            .y(function(d) { return y(d.y); })
            .x(function(d) { return x(d.x); })(data)
  
            svg.selectAll("path")
            .data(densityData)
            .enter()
            .append("path")
            .attr("d", d3.geoPath())
            .attr("fill", "none")
            .attr("stroke", "green")
        });
  
        // Data for csv file
        // x, y, group
        // 11.45, 14.2, H
        // 11.1, 14.2, H
        // 11.9, 9.9, H
        // 11.6, 14.5, H
        // 11.1, 11.7, H
        // 14.7, 9.5, H
        // 7.9, 11.6, H
        // 14.7, 11.7, H
        // 11.45, 14.2, H
        // 12.1, 9.2, H
        // 7.5, 11, H
        // 14.5, 14.5, H
        // 11.45, 9.7, H
        // 14.45, 11.6, H
        // 11.5, 7.6, H
        // 11, 11.45, H
        // 14.7, 12, H
        // 11.7, 9.7, H
        // 9.6, 9, H
        // 12, 11, H
        // 11.45, 14.5, H
        // 11.11, 14.6, H
        // 12.7, 11.11, H
        // 11, 12.2, H
        // 11, 14.9, H
        // 9.5, 11.7, H
        // 11.7, 14.7, H
        // 11.9, 14.5, H
        // 14, 14.5, H
        // 7.11, 11, H
        // 11.11, 11.45, H
        // 11, 14.2, H
        // 14.7, 11.7, H
        // 14.5, 11.9, H
     
 
 

输出：

示例 2：

 
 
 
     
     
  
     
     
    
    
 
  
 
    GeeksforGeeks
      
     
        // Append the svg object to the body.
        var svg = d3.select("body")
        .append("svg")
        .attr("width", 530)
        .attr("height", 480)
        .append("g")
        .attr("transform",
        "translate(" + 40 + ", " + 0 + ")");
  
        // Read data
        d3.csv("./data.csv", function(data) {
              
            var y = d3.scaleLinear()
            .domain([5, 30])
            .range([ 450, 10 ]);
  
            var x = d3.scaleLinear()
            .domain([5, 22])
            .range([ 0, 460]);
  
            svg.append("g")
            .call(d3.axisLeft(y));
          
            svg.append("g")
            .attr("transform","translate(0, " + 450 + ")")
            .call(d3.axisBottom(x));
  
            var densityData = d3.contourDensity()
            .y(function(d) { return y(d.y); })
            .bandwidth(44)
            .x(function(d) { return x(d.x); })(data)
  
            svg.selectAll("path")
            .data(densityData)
            .enter()
            .append("path")
            .attr("d", d3.geoPath())
            .attr("fill", "green")
            .attr("stroke", "black")
        });
  
        // Data for csv file
        // x, y, group
        // 11.45, 14.2, H
        // 11.1, 14.2, H
        // 11.9, 9.9, H
        // 11.6, 14.5, H
        // 11.1, 11.7, H
        // 14.7, 9.5, H
        // 7.9, 11.6, H
        // 14.7, 11.7, H
        // 11.45, 14.2, H
        // 12.1, 9.2, H
        // 7.5, 11, H
        // 14.5, 14.5, H
        // 11.45, 9.7, H
        // 14.45, 11.6, H
        // 11.5, 7.6, H
        // 11, 11.45, H
        // 14.7, 12, H
        // 11.7, 9.7, H
        // 9.6, 9, H
        // 12, 11, H
        // 11.45, 14.5, H
        // 11.11, 14.6, H
        // 12.7, 11.11, H
        // 11, 12.2, H
        // 11, 14.9, H
        // 9.5, 11.7, H
        // 11.7, 14.7, H
        // 11.9, 14.5, H
        // 14, 14.5, H
        // 7.11, 11, H
        // 11.11, 11.45, H
        // 11, 14.2, H
        // 14.7, 11.7, H
        // 14.5, 11.9, H
     
 
 

输出：