timeline | 易学教程

is it possible to plot timelines with matplotlib?

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Im trying to plot dates with values like this csv. Tue 2 Jun 16:55:51 CEST 2015,3 Wed 3 Jun 14:51:49 CEST 2015,3 Fri 5 Jun 10:31:59 CEST 2015,3 Sat 6 Jun 20:47:31 CEST 2015,3 Sun 7 Jun 13:58:23 CEST 2015,3 Mon 8 Jun 14:56:49 CEST 2015,2 Tue 9 Jun 23:39:11 CEST 2015,1 Sat 13 Jun 16:55:26 CEST 2015,2 Sun 14 Jun 15:52:34 CEST 2015,3 Sun 14 Jun 16:17:24 CEST 2015,3 Mon 15 Jun 13:23:18 CEST 2015,1 ... Im doing something very similar to the first answer here: Matplotlib timelines But is really hard to get a good grasp of the data looking at that kind of visualization. Then I realize that im trying

How do I create a timeline chart which shows multiple events? Eg. Metallica Band members timeline on wiki [closed]

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How do I create a timeline chart which shows multiple events? Eg. Metallica Band members timeline on wiki ? where it shows the multiple band members and their durations. Technologies to be used : Microsoft Office primarily. Any exotic technology where the learning curve isn't too much to do this stuff, should also be fine? chris neilsen A Stacked bar chart should suffice: Setup data as follows Name Start End Duration (End - Start) Fred 1/01/1981 1/06/1985 1612 Bill 1/07/1985 1/11/2000 5602 Joe 1/01/1980 1/12/2001 8005 Jim 1/03/1999 1/01/2000 306 Plot Start and Duration as a stacked bar chart

Alternative to SIMILE Timeline for timeline visualization? [closed]

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So I have been having lots of fun playing with SIMILE Timeline , but unfortunately, it appears to be all but abandoned (most recently closed ticket May 2009) and riddled with memory leaks , especially when you are dynamically loading and unloading events (which is especially true in my case). I am a novice in JavaScript, so debugging these leaks is going to be more than a little complicated. Before I dive head-first into fixing a problem in a language I don't understand or a codebase I have never looked at, I want to know if there is anything out there that compares to the feature-set that I

进度条与时间轴绑定显示图片

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第一步是下载Bootstrap和Glyphicons库。你可以找到外部引用Bootstrap CDN主机上的图标字体文件。我分开这些样式表到不同的文件,同时创建一个新的文档称为styles.css。 1 2 3 4 5 6 7 8 9 10 11 12 13 14 <!doctype html> < html lang = "en-US" > < head > < meta charset = "utf-8" > < meta http-equiv = "Content-Type" content = "text/html" > < title >Vertical Responsive Timeline UI - Template Monster Demo</ title > < meta name = "author" content = "Jake Rocheleau" > < link rel = "shortcut icon" href = "http://static.tmimgcdn.com/img/favicon.ico" > < link rel = "icon" href = "http://static.tmimgcdn.com/img/favicon.ico" > < link rel = "stylesheet" type = "text/css"

Untiy 控制timeline暂停播放

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最近项目需要用到timeline 做一些小笔记 PlayableDirector 可以获取一个timeline的实例需要引入一个命名空间： using UnityEngine.Playables; PlayableDirector Unity文档控制播放的函数 PlayableDirector.Pause() 暂停停止在当前时间 PlayableDirector.Play() 播放暂停后继续播放，停止后重新播放 PlayableDirector.Stop() 停止从初始时间播放 PlayableDirector.Resume() 继续停止后无效，暂停后继续播放播放状态的变量 PlayableDirector.initialTime 初始位置 PlayableDirector.duration 总长度 PlayableDirector.time 当前播放长度跳转到时间位置 playable.Stop(); playable.initialTime = 10; playable.Play(); 获取播放进度 float normalizedTime = (float)(playable.time / playable.duration); 来源： https://blog.csdn.net/qq_33205561/article/details/100707421

Java诊断工具Arthas

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Java诊断工具Arthas 1. Arthas简介 Arthas是阿里开源的一个线上java诊断工具，发现阿里还是挺喜欢开源一些技术的，造福人类。昨天试用了一下，发现真是强大，解决了我工作两年的很多困扰，有点相见恨晚的感觉。根据官网的说明，它能解决下面的问题：当你遇到以下类似问题而束手无策时， Arthas 可以帮助你解决：这个类从哪个 jar 包加载的？为什么会报各种类相关的 Exception？我改的代码为什么没有执行到？难道是我没 commit？分支搞错了？遇到问题无法在线上 debug，难道只能通过加日志再重新发布吗？线上遇到某个用户的数据处理有问题，但线上同样无法 debug，线下无法重现！是否有一个全局视角来查看系统的运行状况？有什么办法可以监控到JVM的实时运行状态？ Arthas 采用命令行交互模式，同时提供丰富的 Tab 自动补全功能，进一步方便进行问题的定位和诊断。 2. Arthas安装在Linux下直接执行 curl -L https://alibaba.github.io/arthas/install.sh | sh ，然后执行 ./as.sh 就可以进入到Arthas的命令行界面。 3. Arthas试用安装完后试用了它的监控相关的功能，以后调试就不那么麻烦了。 # 进入命令行界面,刚进入的时候会显示所有的java进程

TensorFlow学习笔记2-性能分析工具

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TensorFlow学习笔记2-性能分析工具性能分析工具在spyder中运行以下代码: import tensorflow as tf from tensorflow.python.client import timeline #构造计算图 x = tf.random_normal([1000, 1000]) y = tf.random_normal([1000, 1000]) res = tf.matmul(x, y) #运行计算图, 同时进行跟踪 with tf.Session() as sess: run_options = tf.RunOptions(trace_level=tf.RunOptions.FULL_TRACE) run_metadata = tf.RunMetadata() sess.run(res, options=run_options, run_metadata=run_metadata) #创建Timeline对象,并将其写入到一个json文件 tl = timeline.Timeline(run_metadata.step_stats) ctf = tl.generate_chrome_trace_format() with open('timeline.json', 'w') as f: f.write(ctf) 使用 with tf

fiddler笔记：TimeLine时间轴选项卡

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1.TimeLine选项卡介绍　　TimeLine选项卡支持使用"瀑布"模型查看1~250个选中的Session。主要用于帮助性能分析和理解请求之间的关联。选项卡的主体内容是数据流视图，页面的上方是标题，显示时间轴模式，默认情况下是"传输时间轴"。鼠标右键： AutoScale Chart 如果选中该选项，会水平调节图形宽度，使得整个图形适配选项卡宽度，不需要水平滚动条。 Copy Chart 点击该选项会将图形以位图格式拷贝到剪切板。 Mode(dropdown) Timeline 通过时间轴线条显示每个Session，用彩色条表示时间。 Client Pipe Map 显示每个时间轴的客户端进程和Fiddler之间的连接，多个Session之间重用的连接会以多种彩色条显示。 Server Pipe Map 显示每个时间轴的Fiddler和上游服务器之间的连接，多个Session之间的重用的连接会以多种彩色显示。 2.模式：TimeLine（时间轴）时间轴模式下，每行显示一个Session。时间轴最左边的是从URL中提取出来的文件名。鼠标放在Session上，下方的状态栏中就会显示该Session的信息。点击Session+shift键显示该Session的详细信息。条形栏更长，说明请求响应慢。条形栏的颜色由响应的MIME类型决定：浅蓝色：图像深绿色

layui timeline使用

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使用layui timeline过程记录： layui官网时间线介绍比较少，可能是太简单了，这里把时间线通过请求后台数据。再自动填写到对应区块，进行了封装；代码如下： function timelineshow(url,json,div){ $.ajax({ url: url, type: "post", data: json, dataType: "json", success: function (res) { console.log(res); if(res.SUCCESS===true){ var list = res.data; var uls = "<ul class=\"layui-timeline\">"; var uls1 = "<ul>"; var uls2 = "</ul>"; var lis = "<li class=\"layui-timeline-item\">"; var lis1 = "<li>"; var lis2 = "</li>"; var is = "<i class=\"layui-icon layui-timeline-axis\"></i>"; var divs = "<div class=\"layui-timeline-content layui-text\">"; var divs2 = "</div>"; var h3s =

Draw simple timeline with D3

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问题 This is what I'm trying to accomplish: In this example, I have a starting date (1º Jun 2011), an ending date (1º Jul 2012) and multiple events between this range. Each event is related to one day of the calendar (although it is possible to have many events on a single day). This data is fetched from a MySQL DB. Any help or suggestion will be highly appreciated. 回答1: I recently had to do something similar. I ended up writing a d3 plugin that could handle this case among a few others. https:/

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