用爬虫爬了近几年房价均值，和用Matplotlib 画了一个曲线图
然而直观的可视化信息一般都是在前端实现交互，下面我们用Python+Web实现一个小的数据展示
HTML代码
<!DOCTYPE html> <html> <head> <meta charset="UTF-8"> <title></title> <link rel="stylesheet" href="static/css/base.css"/> </head> <body onload="Onload()"> <div class="head">重庆沙坪坝房价均值</div> <div class="body_right"> <label>请输入年限（2009~2017）</label><input type="text" name="First_year"/><label>请输入比较年(2009~2017)</label><input type="text" name="Twice_year" /><input type="button" name="Submit" value="Submit"/> <img id="showimg" /> </div> </body> </html> <script type="text/javascript"> function Onload() { var x = document.getElementsByName("Submit"); var First_year = document.getElementsByName("First_year")[0]; var Twice_year = document.getElementsByName("Twice_year")[0]; x[0].addEventListener("click", function () { AJAX("get", "/find", "first=" + First_year.value + "&tiwce=" + Twice_year.value, 1) }); } function AJAX(type, url, datas, state) { var xhr; if (window.XMLHttpRequest) {//除Ie外的浏览器 xhr = new XMLHttpRequest; } else if (window.ActiveXObject) {//Ie try { xhr = new ActiveXObject("Msxml2.XMLHTTP");//IE4以下 } catch (e) { xhr = ActiveXObject("Micsoft.XMLHTTP"); } } if (type == "get" || type == "GET") { url = url + "?" + datas; } xhr.open(type, url, true); if (type == "post" || type == "POST") { xhr.setRequestHeader("Content-Type", "Application/x-www-form-urlencoded"); xhr.send(datas); } else if (type == "get" || type == "GET") { xhr.send(null); } else { return false; } xhr.onreadystatechange = function () { //switch (xhr.readyState) { // case 1: // alert("请求已经提出。。。"); // break; // case 2: // alert("请求已发送。。。"); // break; // case 3: // alert("请求处理中"); // break; // case 4: // alert("请求成功"); // alert(xhr.responseText); // break; // } if (xhr.readyState == 4 && xhr.status == 200) { //alert(xhr.responseText); if (state == 1) { var jsons = JSON.parse(xhr.responseText); var show = document.getElementById("showimg"); //alert(jsons.url) show.src = jsons.url; } } } } </script>
通过两个输入框将想要比较的年份信息通过AJAX异步传到后台Python,通过后台返回的图片路径，让img标签起到展示数据的作用
后台Python
import flask import pymongo import matplotlib.pyplot as mp import re client = pymongo.MongoClient('mongodb://localhost:27017') app = flask.Flask(__name__) @app.route('/') def index(): return flask.render_template('base.html') @app.route('/find') def find(): first = flask.request.args.get('first') twice = flask.request.args.get('tiwce') firstTime = list(client['HousePrice']['CQ'].find({'dateTime':re.compile(first)})) twiceTime = list(client['HousePrice']['CQ'].find({'dateTime': re.compile(twice)})) MapOnex = [] MapOney = [] MapTwox = [] MapTwoy = [] for i in firstTime: MapOnex.append(i['dateTime'][5:8]) MapOney.append(int(i['housePrice'][0:4])) for i in twiceTime: MapTwox.append(i['dateTime'][5:8]) MapTwoy.append(int(i['housePrice'][0:4])) mp.title('CQSPBHousePrice') mp.xlabel('Month') mp.ylabel('Price') mp.plot(MapOnex,MapOney, label = 'year:'+first) mp.plot(MapTwox, MapTwoy, label='year:' + twice) mp.legend(bbox_to_anchor=[0.5,1]) mp.grid() mp.savefig('E:\Practice\CQHousePrice\static\IMG/'+first+'-'+ twice +'.png') mp.close() return flask.json.dumps({'url': '/static/IMG/'+first+'-'+twice +'.png'}) if __name__ == '__main__': app.run('localhost', 5000)
这里通过前端传来的两个年份信息，我们经行一个模糊查询，并将数据信息画成图，存入文件，通过JSON数组
将文件路径返回给前端JS，实现简单的Web与Python的交互，将数据可视化
效果图：
转载：https://www.cnblogs.com/HaoYu-StudyNote/p/8657078.html