The density.bandwidth() function is used to set the bandwidth of the density estimator function. If the bandwidth is not specified then it sets the default bandwidth which is equal to 20.4939. If the bandwidth is specified then it sets the bandwidth of the gaussian kernel and returns the estimate.
Syntax:
d3.contourDensity.x().y().bandwidth([bandwidth]);
Parameters: This function takes one parameter as given above and described below.
- bandwidth: This function takes a number that defines the bandwidth of the density estimator function.
Return Value: This function does not return anything.
Below given are a few examples of the density.bandwidth() function.
Example 1:
HTML
<!DOCTYPE html> <html lang="en">   <head>     <meta charset="UTF-8">     <meta name="viewport" content="         width=device-width, initial-scale=1.0">       <script type="text/javascript"    </script>     </script> </head>   <body>     <h1 style="color:green">neveropen</h1>           <script>         // append the svg object to the body.         var svg = d3.select("body")         .append("svg")             .attr("width", 500)             .attr("height", 500)         .append("g")             .attr("transform",                 "translate(" + 20 + ", " + -80 + ")");           // read data         d3.csv("./data.csv", function(data) {                       var y = d3.scaleLinear()             .domain([-5, 30])             .range([ 400, 100 ]);           var x = d3.scaleLinear()             .domain([0, 22])             .range([ 0, 300]);             svg.append("g")         .call(d3.axisLeft(y));                   svg.append("g")             .attr("transform", "translate(0, " + 400 + ")")             .call(d3.axisBottom(x));           var density= d3.contourDensity()             .y(function(d) { return y(d.y); })             .x(function(d) { return x(d.x); })             // Use of bandwidth() Function             .bandwidth(40)             (data)           svg.selectAll("path")             .data(density)             .enter()             .append("path")             .attr("d", d3.geoPath())             .attr("fill", "none")             .attr("stroke", "green")         });           // Data for csv file         // x, y, group         // 9.45, 4.4, H         // 9.1, 4.4, H         // 9.9, 9.9, H         // 9.6, 4.5, H         // 9.1, 9.7, H         // 4.7, 9.5, H         // 7.9, 9.6, H         // 4.7, 9.7, H         // 9.45, 4.4, H         // 12.1, 9.4, H         // 7.5, 9, H         // 4.5, 4.5, H         // 9.45, 9.7, H         // 4.45, 9.6, H         // 9.5, 7.6, H         // 9, 9.45, H         // 4.7, 12, H         // 9.7, 9.7, H         // 9.6, 9, H         // 12, 9, H         // 9.45, 4.5, H         // 9.9, 4.6, H         // 12.7, 9.9, H         // 9, 12.4, H         // 9, 4.9, H         // 9.5, 9.7, H         // 9.7, 4.7, H         // 9.9, 4.5, H         // 4, 4.5, H         // 7.9, 9, H         // 9.9, 9.45, H         // 9, 4.4, H         // 4.7, 9.7, H         // 4.5, 9.9, H     </script> </body> </html> |
Output:
Example 2:
HTML
<!DOCTYPE html> <html lang="en">   <head>     <meta charset="UTF-8">     <meta name="viewport" content="         width=device-width, initial-scale=1.0">       <script type="text/javascript"    </script>     </script> </head>   <body>     <h1 style="color:green">neveropen</h1>           <script>           // append the svg object to the body.         var svg = d3.select("body")         .append("svg")             .attr("width", 500)             .attr("height", 500)         .append("g")             .attr("transform",                 "translate(" + 20 + ", " + -80 + ")");           // read data         d3.csv("./data.csv", function(data) {                       var y = d3.scaleLinear()             .domain([-5, 30])             .range([ 400, 100 ]);           var x = d3.scaleLinear()             .domain([0, 22])             .range([ 0, 300]);             svg.append("g")         .call(d3.axisLeft(y));                   svg.append("g")             .attr("transform", "translate(0, " + 400 + ")")             .call(d3.axisBottom(x));           var density= d3.contourDensity()             .y(function(d) { return y(d.y); })             .x(function(d) { return x(d.x); })             // Use of bandwidth() Function             .bandwidth(10)             (data)           svg.selectAll("path")             .data(density)             .enter()             .append("path")             .attr("d", d3.geoPath())             .attr("fill", "none")             .attr("stroke", "green")         });           // Data for csv file         // x, y, group         // 9.45, 4.4, H         // 9.1, 4.4, H         // 9.9, 9.9, H         // 9.6, 4.5, H         // 9.1, 9.7, H         // 4.7, 9.5, H         // 7.9, 9.6, H         // 4.7, 9.7, H         // 9.45, 4.4, H         // 12.1, 9.4, H         // 7.5, 9, H         // 4.5, 4.5, H         // 9.45, 9.7, H         // 4.45, 9.6, H         // 9.5, 7.6, H         // 9, 9.45, H         // 4.7, 12, H         // 9.7, 9.7, H         // 9.6, 9, H         // 12, 9, H         // 9.45, 4.5, H         // 9.9, 4.6, H         // 12.7, 9.9, H         // 9, 12.4, H         // 9, 4.9, H         // 9.5, 9.7, H         // 9.7, 4.7, H         // 9.9, 4.5, H         // 4, 4.5, H         // 7.9, 9, H         // 9.9, 9.45, H         // 9, 4.4, H         // 4.7, 9.7, H         // 4.5, 9.9, H     </script> </body> </html> |
Output:
Whether you’re preparing for your first job interview or aiming to upskill in this ever-evolving tech landscape, neveropen Courses are your key to success. We provide top-quality content at affordable prices, all geared towards accelerating your growth in a time-bound manner. Join the millions we’ve already empowered, and we’re here to do the same for you. Don’t miss out – check it out now!
