今日主要对论文关键词进行了统计，获得最热关键词排行，并通过词云图显示。使用百度的词云图要引入“echarts-wordcloud.js”，剩下的跟之前的疫情可视化一样，传数据就可以显示了。
<html> <head> <meta charset="utf-8"> <script src='https://cdn.jsdelivr.net/npm/echarts@5/dist/echarts.min.js'></script> <!-- <script src="../../echarts/dist/echarts.js"></script> --> <script src='../static/js/echarts-wordcloud.js'></script> <script src="../static/js/jquery.js"></script> <link rel="stylesheet" type="text/css" href="../static/css/paper.css" /> </head> <body> <style> html, body{ width: 100%; height: 100%; margin: 0; } </style> <div class="box"> <div id='main' class="main"></div> <div class="tablebox2" style="overflow:auto;"> <h1 align="center">热词统计</h1> <table> <thead> <tr> <th>名次</th> <th>热词</th> <th>热度</th> </tr> </thead> <tbody> </tbody> </table> </div> </div> <script> $.ajax({ url: "/word_cloud_date_list", success: function (data) { $(".tablebox2 tbody").empty(); for (var i = 0; i < data.data.length; i++) { var Day = data.data[i][0].split(' ') str=i+1+"" appendHtmlBody = "<tr><td>" + str+"</td><td>" + data.data[i][0]+"</td><td>" + data.data[i][1]+ "</td></tr>" $(".tablebox2 tbody").append(appendHtmlBody); } $(".tablebox2 tbody").find('tr').on('mouseenter',function(){ var hang = $(this).prevAll().length $(".tablebox2 tbody tr").eq(hang).addClass('highTr'); chart.dispatchAction({ type: 'showTip',seriesIndex: 0, name:data.data[hang][0]}); //选中高亮 }) // 鼠标移出的第几行数据 $(".tablebox2 tbody").find('tr').on('mouseleave',function(){ var hang = $(this).prevAll().length; $(".tablebox2 tbody tr").eq(hang).removeClass('highTr'); chart.dispatchAction({ type: 'showTip', seriesIndex: 0, name:data.data[hang][0]}); //取消高亮 }) chart.on('mouseOver', function(params){ console.log(params);//此处写点击事件内容 for(var i=0;i<data.data.length;i++){ // data11[i].value="0"; if(params.name== data.data[i][0]){ console.log(params.name); //addressList[i].value="1"; // 选中高亮 $(".tablebox2 tbody tr").eq(i).addClass('highTr'); } } }); // 移出该区域时，取消高亮 chart.on('mouseOut', function(params){ console.log(params);//此处写点击事件内容 for(var i=0;i<data.data.length;i++){ // data11[i].value="0"; if(params.name== data.data[i][0]){ console.log(params.name); //取消高亮 $(".tablebox2 tbody tr").eq(i).removeClass('highTr'); } } }); }, error: function (xhr, type, errorThrown) { } }) var chart = echarts.init(document.getElementById('main')); var option = { tooltip: {}, series: [ { type: 'wordCloud', gridSize: 2, sizeRange: [12, 50], rotationRange: [-90, 90], shape: 'pentagon', 600, height: 400, drawOutOfBound: true, textStyle: { color: function () { return 'rgb(' + [ Math.round(Math.random() * 160), Math.round(Math.random() * 160), Math.round(Math.random() * 160) ].join(',') + ')'; } }, emphasis: { textStyle: { shadowBlur: 10, shadowColor: '#333' } }, data: [ { name: 'Sam S Club', value: 10000, }, { name: 'Macys', value: 6181 }, { name: 'Amy Schumer', value: 4386 }, { name: 'Jurassic World', value: 4055 }, { name: 'Charter Communications', value: 2467 }, { name: 'Chick Fil A', value: 2244 }, { name: 'Planet Fitness', value: 1898 }, { name: 'Pitch Perfect', value: 1484 }, { name: 'Express', value: 1112 }, { name: 'Home', value: 965 }, { name: 'Johnny Depp', value: 847 }, { name: 'Lena Dunham', value: 582 }, { name: 'Lewis Hamilton', value: 555 }, { name: 'KXAN', value: 550 }, { name: 'Mary Ellen Mark', value: 462 }, { name: 'Farrah Abraham', value: 366 }, { name: 'Rita Ora', value: 360 }, { name: 'Serena Williams', value: 282 }, { name: 'NCAA baseball tournament', value: 273 }, { name: 'Point Break', value: 265 } ] } ] }; chart.setOption(option); window.onresize = chart.resize; </script> </body> </html> <script> function get_date(){ $.ajax({ url: "/word_cloud_date", success: function (data) { option.series[0].data=data.data; chart.setOption(option); }, error: function (xhr, type, errorThrown) { } }) } function leave_out(str){ if(str.length>=30) { str=str.substring(0,30)+"..." } return str } get_date() </script>
#词云图数据 @app.route("/word_cloud_date") def word_cloud_date(): word_num=util.word_cloud_top() word_cloud_num=[] flag=0; for i in word_num: word_cloud_num.append({"name":i[0],"value":i[1]}) flag=flag+1; if(flag>30): break return jsonify({"data":word_cloud_num}) #词云图表格 @app.route("/word_cloud_date_list") def word_cloud_date_list(): word_num=util.word_cloud_top() word_cloud_list=[] word_cloud_class=[] flag=0; for i in word_num: word_cloud_class=[i[0],i[1]] word_cloud_list.append(word_cloud_class) flag=flag+1; if(flag>30): break return jsonify({"data":word_cloud_list})
#获取top10 def word_cloud_top(): word_all=[] word_num={} for i in update_test_word: np_extractor = NPExtractor(i[0]) result = np_extractor.extract() word_all=word_all+result for item in word_all: if(item not in word_num): word_num[item]=word_all.count(item) c = Counter(word_num) top_10_word=c.most_common() return top_10_word
