Flask框架利用Echarts實(shí)現(xiàn)繪制圖形
echarts是百度推出的一款開源的基于JavaScript
的可視化圖表庫,該開發(fā)庫目前發(fā)展非常不錯(cuò),且支持各類圖形的繪制可定制程度高,Echarts繪圖庫同樣可以與Flask
結(jié)合,前臺使用echart
繪圖庫進(jìn)行圖形的生成與展示,后臺則是Flask通過render_template
方法返回一串JSON數(shù)據(jù)集,前臺收到后將其應(yīng)用到繪圖庫上,實(shí)現(xiàn)動態(tài)展示W(wǎng)eb服務(wù)日志狀態(tài)功能。
如下演示案例中,將分別展示運(yùn)用該繪圖庫如何前后端交互繪制(餅狀圖,柱狀圖,折線圖)這三種最基本的圖形。
實(shí)現(xiàn)繪制餅狀圖
用于模擬統(tǒng)計(jì)Web容器的日志數(shù)據(jù),通過餅狀圖將訪問狀態(tài)統(tǒng)計(jì)出來。
前端部分/templates/index.html
代碼如下:
<html> <head> <meta charset="UTF-8"> <title>LyShark</title> <script src="https://cdn.lyshark.com/javascript/jquery/3.5.1/jquery.min.js"></script> <script src="https://cdn.lyshark.com/javascript/echarts/5.0.0/echarts.min.js"></script> </head> <body> <div class="panel panel-primary" style="width: 40%;height: 30%; float: left"> <div class="panel-heading"> <h3 class="panel-title">LyShark 網(wǎng)站訪問狀態(tài)統(tǒng)計(jì)</h3> </div> <div class="panel-body"> <div id="main" style="width:100%; height: 300px"></div> </div> </div> </body> <script type="text/javascript" charset="UTF-8"> var kv = new Array(); kv = {{ data | safe }} var test = new Array(); for(var logkey in kv){ test.push( {value:kv[logkey], name:logkey} ) } var display = function(){ var main = echarts.init(document.getElementById("main")); var option = { legend: { orient: 'vertical', left: 'left', }, series: [ { type: 'pie', radius: '70%', center: ['50%', '50%'], detail: {formatter:'{value}'}, data: test } ] }; main.setOption(option,true); }; display(); </script> </html>
后端代碼如下通過模擬render_template
返回一些數(shù)據(jù)。
from flask import Flask,render_template,request import json app = Flask(import_name=__name__, static_url_path='/python', # 配置靜態(tài)文件的訪問url前綴 static_folder='static', # 配置靜態(tài)文件的文件夾 template_folder='templates') # 配置模板文件的文件夾 def Count_Flag_And_Flow(file): list = [] flag = {} with open(file) as f: contexts = f.readlines() for line in contexts: it = line.split()[8] list.append(it) list_num = set(list) for item in list_num: num = list.count(item) flag[item] = num return flag @app.route('/', methods=["GET"]) def index(): Address = {'226': 4, '404': 12, '200': 159, '400': 25, '102': 117, '302': 1625} # Address = Count_Flag_And_Flow("d://access_log") return render_template("index.html",data = json.dumps(Address)) if __name__ == '__main__': app.run(host="127.0.0.1", port=80, debug=False)
運(yùn)行后訪問自定義域名,輸出如下效果的餅狀圖:
實(shí)現(xiàn)繪制柱狀圖
統(tǒng)計(jì)訪問了本站的所有ID地址并將地址數(shù)大于2的全部顯示出來.
前端index.html
代碼如下
<html> <head> <meta charset="UTF-8"> <title>LyShark</title> <script src="https://cdn.lyshark.com/javascript/jquery/3.5.1/jquery.min.js"></script> <script src="https://cdn.lyshark.com/javascript/echarts/5.0.0/echarts.min.js"></script> </head> <body> <div class="panel panel-primary" style="width: 58%;height: 30%; float: left"> <div class="panel-heading"> <h3 class="panel-title">LyShark 網(wǎng)站設(shè)備類型統(tǒng)計(jì)</h3> </div> <div class="panel-body"> <div id="main1" style="width:100%; height: 300px"></div> </div> </div> </body> <script type="text/javascript" charset="UTF-8"> var kv = new Array(); var keys = new Array(); var values = new Array(); kv = {{ data | safe }} for(var logkey in kv){ keys.push(logkey); values.push(kv[logkey]); } var display = function() { var main1 = echarts.init(document.getElementById("main1")); var option = { xAxis: { type: 'category', data: keys }, yAxis: { type: 'value' }, series: [{ data: values, type: 'bar' }] }; main1.setOption(option,true); }; display(); </script> </html>
后端代碼如下,路由曾則只保留一個(gè)index映射
from flask import Flask,render_template,request import json app = Flask(import_name=__name__, static_url_path='/python', # 配置靜態(tài)文件的訪問url前綴 static_folder='static', # 配置靜態(tài)文件的文件夾 template_folder='templates') # 配置模板文件的文件夾 def Count_Flag_And_Type(file): list = [] flag = {} with open(file) as f: contexts = f.readlines() for line in contexts: addr = line.split()[0].replace("(","").replace(")","") if addr != "::1": list.append(addr) # 去重并將其轉(zhuǎn)為字典 list_num = set(list) for item in list_num: num = list.count(item) # 如果地址只有一次則忽略 if num > 1: flag[item] = num return flag @app.route('/', methods=["GET"]) def index(): Types = {'Linux': 23, 'studies': 57, 'Windows': 87, 'compatible': 44, 'web': 32, 'X11': 78} # Types = Count_Flag_And_Type("d://access_log") return render_template("index.html",data = json.dumps(Types)) if __name__ == '__main__': app.run(host="127.0.0.1", port=80, debug=False)
柱狀圖繪制效果如下:
實(shí)現(xiàn)繪制折線圖
統(tǒng)計(jì)指定的時(shí)間段內(nèi)的訪問流量數(shù)據(jù).
前端index.html
代碼如下
<html> <head> <meta charset="UTF-8"> <title>LyShark</title> <script src="https://cdn.lyshark.com/javascript/jquery/3.5.1/jquery.min.js"></script> <script src="https://cdn.lyshark.com/javascript/echarts/5.0.0/echarts.min.js"></script> </head> <body> <div class="panel panel-primary" style="width: 100%;height: 30%; float: left"> <div class="panel-heading"> <h3 class="panel-title">LyShark 網(wǎng)站流量統(tǒng)計(jì)</h3> </div> <div class="panel-body"> <div id="main" style="width:100%; height: 400px"></div> </div> </div> </body> <script type="text/javascript" charset="UTF-8"> var kv = new Array(); var keys = new Array(); var values = new Array(); kv = {{ data | safe }}; for(var logkey in kv){ keys.push(logkey); values.push(kv[logkey]); } var display = function() { var main = echarts.init(document.getElementById("main")); var option = { xAxis: { type: 'category', boundaryGap: false, data: keys }, yAxis: { type: 'value' }, series: [{ data: values, type: 'line', areaStyle: {}, }] }; main.setOption(option,true); }; display(); </script> </html>
后端代碼如下,路由曾則只保留一個(gè)index映射
from flask import Flask,render_template,request import json app = Flask(import_name=__name__, static_url_path='/python', # 配置靜態(tài)文件的訪問url前綴 static_folder='static', # 配置靜態(tài)文件的文件夾 template_folder='templates') # 配置模板文件的文件夾 def Count_Time_And_Flow(file): times = {} # key 保存當(dāng)前時(shí)間信息 flow = {} # value 當(dāng)前時(shí)間流量總和 Count= 0 # 針對IP地址的計(jì)數(shù)器 with open(file) as f: contexts = f.readlines() for line in contexts: if line.split()[9] != "-" and line.split()[9] != '"-"': size = line.split()[9] temp = line.split()[3] ip_attr = temp.split(":")[1] + ":" + temp.split(":")[2] Count = int(size) + Count if ip_attr in times.keys(): flow[ip_attr] = flow[ip_attr] + int(size) else: times[ip_attr] = 1 flow[ip_attr] = int(size) return flow @app.route('/', methods=["GET"]) def index(): OutFlow = {'03:30': 12, '03:48': 25, '04:15': 47, '04:28': 89, '04:42': 66, '04:51': 54} # OutFlow = Count_Time_And_Flow("d://access_log") return render_template("index.html",data = json.dumps(OutFlow)) if __name__ == '__main__': app.run(host="127.0.0.1", port=80, debug=False)
折現(xiàn)圖繪制效果如下:
如上是三種常用圖形的繪制方式,其他圖形同理可以參考如上方代碼中的寫法,我們可以將這三個(gè)圖形合并在一起,主要是前端對其進(jìn)行排版即可。
<!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <link rel="stylesheet" rel="external nofollow" > <script type="text/javascript" src="https://cdn.lyshark.com/javascript/jquery/3.5.1/jquery.min.js"></script> <script type="text/javascript" src="https://cdn.lyshark.com/javascript/echarts/5.0.0/echarts.min.js"></script> </head> <body> <!--餅狀圖繪制方法--> <div class="panel panel-primary" style="width: 40%;height: 30%;float: left"> <div class="panel-heading"> <h3 class="panel-title">餅狀圖繪制</h3> </div> <div class="panel-body"> <div id="PieChart" style="width:100%; height: 300px"></div> </div> </div> <!--柱狀圖繪制方法--> <div class="panel panel-primary" style="width: 58%;height: 30%; float: right"> <div class="panel-heading"> <h3 class="panel-title">柱狀圖繪制</h3> </div> <div class="panel-body"> <div id="HistogramChart" style="width:100%; height: 300px"></div> </div> </div> <!--折線圖繪制方法--> <div class="panel panel-primary" style="width: 100%;height: 40%; float: left"> <div class="panel-heading"> <h3 class="panel-title">折線圖繪制</h3> </div> <div class="panel-body"> <div id="Linechart" style="width:100%; height: 460px"></div> </div> </div> <!--餅狀圖繪制方法--> <script type="text/javascript" charset="UTF-8"> var kv = new Array(); kv = {{ Address | safe }} var test = new Array(); for(var logkey in kv){ test.push( {value:kv[logkey], name:logkey} ) } var display = function(){ var echo = echarts.init(document.getElementById("PieChart")); var option = { legend: { orient: 'vertical', left: 'left', }, series: [ { type: 'pie', radius: '70%', center: ['50%', '50%'], detail: {formatter:'{value}'}, data: test } ] }; echo.setOption(option,true); }; display(); </script> <!--柱狀圖繪制方法--> <script type="text/javascript" charset="UTF-8"> var kv = new Array(); var keys = new Array(); var values = new Array(); kv = {{ Types | safe }} for(var logkey in kv){ keys.push(logkey); values.push(kv[logkey]); } var display = function() { var echo = echarts.init(document.getElementById("HistogramChart")); var option = { tooltip: { trigger: 'axis', axisPointer: { type: 'shadow' } }, grid: { left: '3%', right: '4%', bottom: '3%', containLabel: true }, xAxis: { type: 'category', data: keys }, yAxis: { type: 'value' }, series: [{ data: values, type: 'bar' }] }; echo.setOption(option,true); }; display(); </script> <!--折線圖繪制方法--> <script type="text/javascript" charset="UTF-8"> // 函數(shù)主要用于將傳入的字典分解成key,value格式并返回 var get_key_value = function(kv) { var keys = new Array(); var values = new Array(); for(var logkey in kv) { keys.push(logkey); values.push(kv[logkey]); } return [keys,values]; } // 輸出1分鐘負(fù)載 var kv = new Array(); kv = {{ x | safe }}; var x = get_key_value(kv); // 輸出5分鐘負(fù)載 var kv = new Array(); kv = {{ y | safe }}; var y = get_key_value(kv); // 輸出15分鐘負(fù)載 var kv = new Array(); kv = {{ z | safe }}; var z = get_key_value(kv); // 顯示利用率 var display = function() { var echo = echarts.init(document.getElementById("Linechart")); var option = { title: { left: 'left', text: 'CPU 利用表', }, // 調(diào)節(jié)大小 grid: { left: '3%', right: '4%', bottom: '3%', containLabel: true }, // tooltip 鼠標(biāo)放上去之后會自動出現(xiàn)坐標(biāo) tooltip: { trigger: 'axis', axisPointer: { type: 'cross', label: { backgroundColor: '#6a7985' } } }, legend: { data: ['1分鐘負(fù)載', '5分鐘負(fù)載', '15分鐘負(fù)載'] }, xAxis: { type: 'category', // data: ['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun'] data: x[0] }, yAxis: { type: 'value' }, series: [ { name: "1分鐘負(fù)載", stack: "總量", //data: [10, 25, 99, 87, 54, 66, 2], data: x[1], type: 'line' }, { name: "5分鐘負(fù)載", stack: "總量", //data: [89, 57, 85, 44, 25, 4, 54], data: y[1], type: 'line' }, { name: "15分鐘負(fù)載", stack: "總量", //data: [1, 43, 2, 12, 5, 4, 7], data: z[1], type: 'line' } ] }; echo.setOption(option,true); }; display(); </script> </body>
后端代碼如下,其中的參數(shù)可以從數(shù)據(jù)庫內(nèi)提取也可以從文件中讀入。
from flask import Flask,render_template,request import json app = Flask(import_name=__name__, static_url_path='/python', # 配置靜態(tài)文件的訪問url前綴 static_folder='static', # 配置靜態(tài)文件的文件夾 template_folder='templates') # 配置模板文件的文件夾 @app.route('/', methods=["GET"]) def index(): Address = {'226': 4, '404': 12, '200': 159, '400': 25, '102': 117, '302': 1625} Types = {'Linux': 23, 'studies': 57, 'Windows': 87, 'compatible': 44, 'web': 32, 'X11': 78} x = {'03:30': 12, '03:48': 25, '04:15': 47, '04:28': 89, '04:42': 66, '04:51': 54} y = {'05:22': 55, '07:48': 29, '07:15': 98, '08:54': 11, '08:41': 61, '06:51': 5} z = {'07:30': 1, '09:48': 5, '06:15': 24, '08:28': 59, '2:42': 11, '08:51': 22} return render_template("index.html",Address = json.dumps(Address), Types= json.dumps(Types), x = json.dumps(x), y = json.dumps(y), z = json.dumps(z)) if __name__ == '__main__': app.run(host="127.0.0.1", port=80, debug=False)
輸出效果如下:
到此這篇關(guān)于Flask框架利用Echarts實(shí)現(xiàn)繪制圖形的文章就介紹到這了,更多相關(guān)Flask Echarts繪制圖形內(nèi)容請搜索腳本之家以前的文章或繼續(xù)瀏覽下面的相關(guān)文章希望大家以后多多支持腳本之家!
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