string(7723) "{"docs":[{"id":"158579","text":"\u3010Python\u3011Tkinter\u56fe\u5f62\u754c\u9762\u8bbe\u8ba1\uff08GUI\uff09","intro":"\u76ee\u5f55\n\nECharts\n\u5f02\u6b65\u52a0\u8f7d\n\n\n\nECharts\r\n\u6570\u636e\u53ef\u89c6\u5316\u5728\u8fc7\u53bb\u51e0\u5e74\u4e2d\u53d6\u5f97\u4e86\u5de8\u5927\u8fdb\u5c55\u3002\u5f00\u53d1\u4eba\u5458\u5bf9\u53ef\u89c6\u5316\u4ea7\u54c1\u7684\u671f\u671b\u4e0d\u518d\u662f\u7b80\u5355\u7684\u56fe\u8868\u521b\u5efa\u5de5\u5177\uff0c\u800c\u662f\u5728\u4ea4\u4e92\u3001\u6027\u80fd\u3001\u6570\u636e\u5904\u7406\u7b49\u65b9\u9762\u6709\u66f4\u9ad8\u7684\u8981\u6c42\u3002\r\nchart.setOption({\r\n color: [\r\n ","username":"HGNET","tagsname":"","tagsid":"","catesname":"","catesid":"","createtime":"1641183196","_id":"158579"},{"id":"158620","text":"python\u4e4bgui-tkinter\u53ef\u89c6\u5316\u7f16\u8f91\u754c\u9762 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\u6700\u65b0\u91cf\u5316\u6295\u8d44\u4ea4\u6613\u8d44\u6e90\u6c47\u603b","intro":"\u76ee\u5f55\n\nECharts\n\u5f02\u6b65\u52a0\u8f7d\n\n\n\nECharts\r\n\u6570\u636e\u53ef\u89c6\u5316\u5728\u8fc7\u53bb\u51e0\u5e74\u4e2d\u53d6\u5f97\u4e86\u5de8\u5927\u8fdb\u5c55\u3002\u5f00\u53d1\u4eba\u5458\u5bf9\u53ef\u89c6\u5316\u4ea7\u54c1\u7684\u671f\u671b\u4e0d\u518d\u662f\u7b80\u5355\u7684\u56fe\u8868\u521b\u5efa\u5de5\u5177\uff0c\u800c\u662f\u5728\u4ea4\u4e92\u3001\u6027\u80fd\u3001\u6570\u636e\u5904\u7406\u7b49\u65b9\u9762\u6709\u66f4\u9ad8\u7684\u8981\u6c42\u3002\r\nchart.setOption({\r\n color: [\r\n ","username":"xgqfrms","tagsname":"","tagsid":"","catesname":"","catesid":"","createtime":"1641183063","_id":"238890"}],"count":535118}" array(2) { ["docs"]=> array(10) { [0]=> array(10) { ["id"]=> string(6) "158579" ["text"]=> string(46) "【Python】Tkinter图形界面设计(GUI)" ["intro"]=> string(288) "目录 ECharts 异步加载 ECharts 数据可视化在过去几年中取得了巨大进展。开发人员对可视化产品的期望不再是简单的图表创建工具,而是在交互、性能、数据处理等方面有更高的要求。 chart.setOption({ color: [ " ["username"]=> string(5) "HGNET" ["tagsname"]=> string(0) "" ["tagsid"]=> string(0) "" ["catesname"]=> string(0) "" ["catesid"]=> string(0) "" ["createtime"]=> string(10) "1641183196" ["_id"]=> string(6) "158579" } [1]=> array(10) { ["id"]=> string(6) "158620" ["text"]=> string(60) "python之gui-tkinter可视化编辑界面 自动生成代码" ["intro"]=> string(288) "目录 ECharts 异步加载 ECharts 数据可视化在过去几年中取得了巨大进展。开发人员对可视化产品的期望不再是简单的图表创建工具,而是在交互、性能、数据处理等方面有更高的要求。 chart.setOption({ color: [ " ["username"]=> string(7) "darkspr" ["tagsname"]=> string(0) "" ["tagsid"]=> string(0) "" ["catesname"]=> string(0) "" ["catesid"]=> string(0) "" ["createtime"]=> string(10) "1641183190" ["_id"]=> string(6) "158620" } [2]=> array(10) { ["id"]=> string(6) "158603" ["text"]=> string(66) "python3.6 +tkinter GUI编程 实现界面化的文本处理工具" ["intro"]=> string(288) "目录 ECharts 异步加载 ECharts 数据可视化在过去几年中取得了巨大进展。开发人员对可视化产品的期望不再是简单的图表创建工具,而是在交互、性能、数据处理等方面有更高的要求。 chart.setOption({ color: [ " ["username"]=> string(10) "chenyuebai" ["tagsname"]=> string(0) "" ["tagsid"]=> string(0) "" ["catesname"]=> string(0) "" ["catesid"]=> string(0) "" ["createtime"]=> string(10) "1641183187" ["_id"]=> string(6) "158603" } [3]=> array(10) { ["id"]=> string(5) "27850" ["text"]=> string(80) "Python GUI之tkinter窗口视窗教程大集合(看这篇就够了) - 洪卫" ["intro"]=> string(288) "目录 ECharts 异步加载 ECharts 数据可视化在过去几年中取得了巨大进展。开发人员对可视化产品的期望不再是简单的图表创建工具,而是在交互、性能、数据处理等方面有更高的要求。 chart.setOption({ color: [ " ["username"]=> string(5) "shwee" ["tagsname"]=> string(0) "" ["tagsid"]=> string(0) "" ["catesname"]=> string(0) "" ["catesid"]=> string(0) "" ["createtime"]=> string(10) "1641183186" ["_id"]=> string(5) "27850" } [4]=> array(10) { ["id"]=> string(6) "158605" ["text"]=> string(45) "Python GUI编程(Tkinter) windows界面开发" ["intro"]=> string(288) "目录 ECharts 异步加载 ECharts 数据可视化在过去几年中取得了巨大进展。开发人员对可视化产品的期望不再是简单的图表创建工具,而是在交互、性能、数据处理等方面有更高的要求。 chart.setOption({ color: [ " ["username"]=> string(5) "itfat" ["tagsname"]=> string(0) "" ["tagsid"]=> string(0) "" ["catesname"]=> string(0) "" ["catesid"]=> string(0) "" ["createtime"]=> string(10) "1641183184" ["_id"]=> string(6) "158605" } [5]=> array(10) { ["id"]=> string(5) "28228" ["text"]=> string(39) "tkinter python(图形开发界面)" ["intro"]=> string(288) "目录 ECharts 异步加载 ECharts 数据可视化在过去几年中取得了巨大进展。开发人员对可视化产品的期望不再是简单的图表创建工具,而是在交互、性能、数据处理等方面有更高的要求。 chart.setOption({ color: [ " ["username"]=> string(7) "yudanqu" ["tagsname"]=> string(0) "" ["tagsid"]=> string(0) "" ["catesname"]=> string(0) "" ["catesid"]=> string(0) "" ["createtime"]=> string(10) "1641183159" ["_id"]=> string(5) "28228" } [6]=> array(10) { ["id"]=> string(6) "158613" ["text"]=> string(34) "Tkinter图形界面设计(GUI)" ["intro"]=> string(288) "目录 ECharts 异步加载 ECharts 数据可视化在过去几年中取得了巨大进展。开发人员对可视化产品的期望不再是简单的图表创建工具,而是在交互、性能、数据处理等方面有更高的要求。 chart.setOption({ color: [ " ["username"]=> string(5) "pywjh" ["tagsname"]=> string(0) "" ["tagsid"]=> string(0) "" ["catesname"]=> string(0) "" ["catesid"]=> string(0) "" ["createtime"]=> string(10) "1641183158" ["_id"]=> string(6) "158613" } [7]=> array(10) { ["id"]=> string(6) "341361" ["text"]=> string(68) "量化分析获取数据的3种姿势(压箱底的神器Tushare)" ["intro"]=> string(288) "目录 ECharts 异步加载 ECharts 数据可视化在过去几年中取得了巨大进展。开发人员对可视化产品的期望不再是简单的图表创建工具,而是在交互、性能、数据处理等方面有更高的要求。 chart.setOption({ color: [ " ["username"]=> string(6) "casual" ["tagsname"]=> string(0) "" ["tagsid"]=> string(0) "" ["catesname"]=> string(0) "" ["catesid"]=> string(0) "" ["createtime"]=> string(10) "1641183069" ["_id"]=> string(6) "341361" } [8]=> array(10) { ["id"]=> string(6) "238879" ["text"]=> string(51) "面向交易的日内高频量化交易平台笔记" ["intro"]=> string(288) "目录 ECharts 异步加载 ECharts 数据可视化在过去几年中取得了巨大进展。开发人员对可视化产品的期望不再是简单的图表创建工具,而是在交互、性能、数据处理等方面有更高的要求。 chart.setOption({ color: [ " ["username"]=> string(18) "TaiYangXiManYouZhe" ["tagsname"]=> string(0) "" ["tagsid"]=> string(0) "" ["catesname"]=> string(0) "" ["catesid"]=> string(0) "" ["createtime"]=> string(10) "1641183067" ["_id"]=> string(6) "238879" } [9]=> array(10) { ["id"]=> string(6) "238890" ["text"]=> string(41) "2021 最新量化投资交易资源汇总" ["intro"]=> string(288) "目录 ECharts 异步加载 ECharts 数据可视化在过去几年中取得了巨大进展。开发人员对可视化产品的期望不再是简单的图表创建工具,而是在交互、性能、数据处理等方面有更高的要求。 chart.setOption({ color: [ " ["username"]=> string(7) "xgqfrms" ["tagsname"]=> string(0) "" ["tagsid"]=> string(0) "" ["catesname"]=> string(0) "" ["catesid"]=> string(0) "" ["createtime"]=> string(10) "1641183063" ["_id"]=> string(6) "238890" } } ["count"]=> int(535118) } 当我们尝试用JavaScipt测网速 - 爱码网
penghuwan

npm包地址

Github地址

 
事情是这样的,最近尝试写一个通过判断当前网速,从而在前端控制范围请求去分步请求一个大型文件的库。这个东东我现在一行代码都还没写,除了突然发现这个需求的思路有些不太实际之外,另一个原因是我突然问自己——
前端尼玛要怎么判断网速啊?? ? !
 

前端判断网速的原理总结

(注:下面求的网速单位默认为KB/S)
通过查阅相关资料,我发现思路主要是分为以下几种:
 

1.通过img加载或者发起Ajax请求计算网速

通过请求一个和服务端同域的文件,例如图片等,在前端开始请求和收到响应两个时间点分别通过Date.now标记start和end,因为Date.now得出的是1970年1月1日(UTC)到当前时间经过的毫秒数,所以我们通过end - start求出时间差(ms),然后通过计算:
文件大小(KB) * 1000 /( end -start )

就可以计算出网速了(KB/S)。

而请求文件又有两种方法:通过img加载或者AJAX加载:
  • 通过创建img对象,设置onload监听回调,然后指定src, 一旦指定src,图片资源就会加载,完成时onload回调就会调用,我们可以根据时机分别标记start和end。
  • 通过AJAX进行请求,即创建XHR对象,在onreadystatechange回调里,判断当readystate = 4时候加载完成,根据时机分别标记start和end。

2.window.navigator.connection.downlink 网速查询

我们还可以通过一些H5的先进API去实现,例如这里我们可以使用的是window.navigator.connection.downlink 去查询,但是正如你所知道的是,这类API都是一副德性,即老生常谈的兼容性问题,所以我们一般都是作为一种预备的手段,通过能力检测,能用就用它,不能用就通过别的方法。而且需要注意downlink的单位是mbps,转化成KB/S的公式是
navigator.connection.downlink * 1024 / 8

乘1024可以理解,为什么后面要除8呢?这是因为mbps里的b指的是bit(比特),KB/s里面的B指的是Byte(字节),1字节(b)=8比特(bit),所以需要除个8
 

3. 一般来说,通过请求文件测算网速,单次可能会有误差,所以我们可以请求多次并计算均值。

 

前端判断网速的方法及其优缺点

  • img加载测速:借助img对象加载测算网速。优点:没有跨域带来的问题。缺点:(1)要自己测文件大小并提供参数fileSize,(2)文件必须为图片 (3)文件大小不能灵活控制
  • Ajax测速: 通过Ajax测算网速。 优点: (1)不用提供文件大小参数,因为可以从response首部获得(2)测试的文件不一定要是图片,且数据量能灵活控制。缺点:跨域问题
  • downlink测速: 通过navigator.connection.downlink读取网速。优点:不需要任何参数。缺点:1.兼容性很有问题,2.带宽查询不是实时的,具有分钟级别的时间间隔
  • 综合实现:先尝试采用downlink测速,否则多次AJAX测速并求平均值

img加载测速

function getSpeedWithImg(imgUrl, fileSize) {
    return new Promise((resolve, reject) => {
        let start = null;
        let end = null;
        let img = document.createElement('img');
        start = new Date().getTime();
        img.onload = function (e) {
            end = new Date().getTime();
            const speed = fileSize * 1000 / (end - start)
            resolve(speed);
        }
        img.src = imgUrl;
    }).catch(err => { throw err });
}

 

Ajax测速

function getSpeedWithAjax(url) {
    return new Promise((resolve, reject) => {
        let start = null;
        let end = null;
        start = new Date().getTime();
        const xhr = new XMLHttpRequest();
        xhr.onreadystatechange = function () {
            if (xhr.readyState === 4) {
                end = new Date().getTime();
                const size = xhr.getResponseHeader('Content-Length') / 1024;
                const speed = size * 1000 / (end - start)
                resolve(speed);
            }
        }
        xhr.open('GET', url);
        xhr.send();
    }).catch(err => { throw err });
}

 

downlink测速

function getSpeedWithDnlink() {
    // downlink测算网速
    const connection = window.navigator.connection;
    if (connection && connection.downlink) {
        return connection.downlink * 1024 / 8;
    }
}

 

综合测速

function getNetSpeed(url, times) {
    // downlink测算网速
    const connection = window.navigator.connection;
    if (connection && connection.downlink) {
        return connection.downlink * 1024 / 8;
    }
    // 多次测速求平均值
    const arr = [];
    for (let i = 0; i < times; i++) {
        arr.push(getSpeedWithAjax(url));
    }
    return Promise.all(arr).then(speeds => {
        let sum = 0;
        speeds.forEach(speed => {
            sum += speed;
        });
        return sum / times;
    })
}

 

 
以上代码我发了一个npm包,可以通过下载
npm i network-speed-test

使用方式

import * from 'network-speed-test';
getSpeedWithImg("https://s2.ax1x.com/2019/08/13/mPJ2iq.jpg", 8.97).then(
    speed => {
        console.log(speed);
    }
)

getSpeedWithAjax('./speed.jpg').then(speed => {
    console.log(speed);
});

getNetSpeed('./speed.jpg', 3).then(speed => {
    console.log(speed);
});

getSpeedWithDnlink();

 

Github地址

 

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