有人可以在LesMisérables共现矩阵中解释GROUP,SOURCE,VALUE和TARGET以及它们是如何相互关联的.
>如果通过一个例子完成解释,那将会很有帮助.
此外,如果任何人尝试过其他输入数据(json数据)而不是标准示例’miserables.json’,请分享以便我可以很好地理解我的数据并查看可视化.
提前致谢
解决方法
我也对这个任务感兴趣,这就是我想出的.首先,我使用
Python(
sample json)创建了将被提供给可视化的json. json应该具有以下形式：
{ "nodes": [
{"name":node_name,"group":node_group},{"name":another_node_name,"group":another_node_group},...
],"links":[
{"source"link_source,"target":link_target,"value":link_value,{"source"another_link_source,"target":another_link_target,"value":another_link_value},...
]
}
然后,只需将应用程序指向您的json文件即可.我使用Python的Flask库来创建一个可以为我的json文件提供服务的简单服务器：
#!flask/bin/python
from flask import Flask,jsonify,request,Response
from flask.ext.cors import CORS
import json
application = Flask(__name__)
# Utilize CORS to allow cross-origin API requests
cors = CORS(application)
#############################
# Network Visualization App #
#############################
@application.route('/api/json/<request>',methods=['GET'])
def parse_json_request(request):
with open("json/" + request,'r') as json_in:
cooccurrence_json = json.load(json_in)
return jsonify(cooccurrence_json)
@application.errorhandler(404)
def page_not_found(e):
return "Sorry,the page you requested could not be found."
if __name__ == '__main__':
application.run(debug=True)
然后我将服务器和我的json上传到Amazon Web Services,使用@L_502_2@部署应用程序,并通过以下方式修改javascript代码：
<!DOCTYPE html> <html class="ocks-org do-not-copy"> <Meta charset="utf-8"> <title>Dramatic Co-occurrence</title> <style> @import url(../style.css?aea6f0a); d3_plot { font-size: 80%; } body.svg { margin-left: 0px; } .background { fill: #eee; } line { stroke: #fff; } text.active { fill: red; } </style> <script type="text/javascript" src="http://d3js.org/d3.v2.min.js?2.8.1"></script> <script type="text/javascript" src="http://code.jquery.com/jquery-1.7.2.min.js"></script> <header> </header> <h1>Character Co-occurrence in Shakespearean Drama</h1> <aside style="margin-top:20px;"> <p>Play: <select id="selected_json"> <option value='"http://tdm-api-dev.elasticbeanstalk.com/api/json/king_henry_the_fifth.json"'>Henry VIII</option> <option value='"http://tdm-api-dev.elasticbeanstalk.com/api/json/romeo_and_juliet.json"'>Romeo and Juliet</option> <option value='"http://tdm-api-dev.elasticbeanstalk.com/api/json/hamlet.json"'>Hamlet</option> </select> <i> </i> Order: <select id="order"> <option value="name">by Name</option> <option value="count">by Frequency</option> <option value="group">by Cluster</option> </select> <p>This application visualizes the degree to which characters in Shakespeare's plays appear together. <p>Each colored cell represents two characters that appeared in the same scene,and darker cells indicate characters that co-occurred more frequently. <p>Use the drop-down menus to select a different play,reorder the matrix,and explore the data. <p>Built with data from ProQuest's Chadwyck Healey <a href="http://www.proquest.com/products-services/literature_online.html">Literature Online Collections</a>. </aside> <d3_plot></d3_plot> <script> function select_json(new_json) { var margin = { top: 120,right: 0,bottom: 10,left: 160 },width = 800,height = 800; var x = d3.scale.ordinal().rangeBands([0,width]),z = d3.scale.linear().domain([0,4]).clamp(true),c = d3.scale.category10().domain(d3.range(10)); var svg = d3.select("d3_plot").append("svg") .attr("width",width + margin.left + margin.right) .attr("height",height + margin.top + margin.bottom) .style("margin-left","0px") .append("g") .attr("transform","translate(" + margin.left + "," + margin.top + ")"); // Based on the user-selected input text above,make the appropriate api call and retrieve the json d3.json(new_json,function(miserables) { console.log(new_json) var matrix = [],nodes = miserables.nodes,n = nodes.length; // Compute index per node. nodes.forEach(function(node,i) { node.index = i; node.count = 0; matrix[i] = d3.range(n).map(function(j) { return { x: j,y: i,z: 0 }; }); }); // Convert links to matrix; count character occurrences. miserables.links.forEach(function(link) { matrix[link.source][link.target].z += link.value; matrix[link.target][link.source].z += link.value; matrix[link.source][link.source].z += link.value; matrix[link.target][link.target].z += link.value; nodes[link.source].count += link.value; nodes[link.target].count += link.value; }); // Precompute the orders. var orders = { name: d3.range(n).sort(function(a,b) { return d3.ascending(nodes[a].name,nodes[b].name); }),count: d3.range(n).sort(function(a,b) { return nodes[b].count - nodes[a].count; }),group: d3.range(n).sort(function(a,b) { return nodes[b].group - nodes[a].group; }) }; // The default sort order. x.domain(orders.name); svg.append("rect") .attr("class","background") .attr("width",width) .attr("height",height); var row = svg.selectAll(".row") .data(matrix) .enter().append("g") .attr("class","row") .attr("transform",function(d,i) { return "translate(0," + x(i) + ")"; }) .each(row); row.append("line") .attr("x2",width); row.append("text") .attr("x",-6) .attr("y",x.rangeBand() / 2) .attr("dy",".32em") .attr("text-anchor","end") .text(function(d,i) { return nodes[i].name; }); var column = svg.selectAll(".column") .data(matrix) .enter().append("g") .attr("class","column") .attr("transform",i) { return "translate(" + x(i) + ")rotate(-90)"; }); column.append("line") .attr("x1",-width); column.append("text") .attr("x",6) .attr("y","start") .text(function(d,i) { return nodes[i].name; }); function row(row) { var cell = d3.select(this).selectAll(".cell") .data(row.filter(function(d) { return d.z; })) .enter().append("rect") .attr("class","cell") .attr("x",function(d) { return x(d.x); }) .attr("width",x.rangeBand()) .attr("height",x.rangeBand()) .style("fill-opacity",function(d) { return z(d.z); }) .style("fill",function(d) { return nodes[d.x].group == nodes[d.y].group ? c(nodes[d.x].group) : null; }) .on("mouSEOver",mouSEOver) .on("mouSEOut",mouSEOut); } function mouSEOver(p) { d3.selectAll(".row text").classed("active",i) { return i == p.y; }); d3.selectAll(".column text").classed("active",i) { return i == p.x; }); } function mouSEOut() { d3.selectAll("text").classed("active",false); } d3.select("#order").on("change",function() { clearTimeout(timeout); order(this.value); }); function order(value) { x.domain(orders[value]); var t = svg.transition().duration(2500); t.selectAll(".row") .delay(function(d,i) { return x(i) * 4; }) .attr("transform",i) { return "translate(0," + x(i) + ")"; }) .selectAll(".cell") .delay(function(d) { return x(d.x) * 4; }) .attr("x",function(d) { return x(d.x); }); t.selectAll(".column") .delay(function(d,i) { return "translate(" + x(i) + ")rotate(-90)"; }); } var timeout = setTimeout(function() { order("group"); d3.select("#order").property("selectedIndex",2).node().focus(); },5000); }); } // set initial json selection select_json("http://tdm-api-dev.elasticbeanstalk.com/api/json/king_henry_the_fifth.json"); // handle on click event d3.select('#selected_json').on('change',function() { // erase old image d3.select("svg").remove(); var new_json = eval(d3.select(this).property('value')); select_json(new_json); }); </script> [1]: http://docs.aws.amazon.com/elasticbeanstalk/latest/dg/create-deploy-python-flask.html
这产生了一个看起来像下图的网页,你可以在行动here中看到.我希望这有助于其他人！
附：在制作页面时,我发现在Chrome中打开我的html非常有帮助,然后使用更多工具 – >开发人员工具,帮助我调试javascript中的错误.
