blocks|key|4617858|text|我是一名物理学生，发现Ubuntu最好的科学绘图软件是QtiPlot。这是非常类似的起源，并工作真的很好。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|entityMap^0^^$0|@$1|2|3|4|5|6|7|C|8|@]|9|@]|A|$]]]|B|$]]

I am a Physics student and found that the best scientific plotting software for Ubuntu is QtiPlot. It is very similar to Origin, and works really well.

blocks|key|5807236|text|Numpy和Matplotlib很好地结合了数据的处理和显示。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|entityMap|0|LINK|mutability|MUTABLE|url|http://www.numpy.org/|1|http://matplotlib.org/^0|0|5|0|6|A|1^^$0|@$1|2|3|4|5|6|7|M|8|@]|9|@$A|N|B|O|1|P]|$A|Q|B|R|1|S]]|C|$]]]|D|$E|$5|F|G|H|C|$I|J]]|K|$5|F|G|H|C|$I|L]]]]

<a href="http://www.numpy.org/" rel="nofollow">Numpy</a> and <a href="http://matplotlib.org/" rel="nofollow">Matplotlib</a> make a good combination for processing and displaying data.

blocks|key|5807305|text|R语言也很流行，可以与斯威夫结合使用，用于Latex。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|entityMap|0|LINK|mutability|MUTABLE|url|http://www.r-project.org/|1|http://www.stat.uni-muenchen.de/~leisch/Sweave/^0|0|1|0|B|3|1^^$0|@$1|2|3|4|5|6|7|M|8|@]|9|@$A|N|B|O|1|P]|$A|Q|B|R|1|S]]|C|$]]]|D|$E|$5|F|G|H|C|$I|J]]|K|$5|F|G|H|C|$I|L]]]]

The <a href="http://www.r-project.org/">R</a> language is also quite popular and can be combined with <a href="http://www.stat.uni-muenchen.de/~leisch/Sweave/">Sweave</a> for use with Latex.

blocks|key|5807453|text|Ggplot2|type|header-two|depth|inlineStyleRanges|entityRanges|offset|length|data|5807454|是最好的数据可视化程序之一。它实现了“图形设计与科学传播经典”作者爱德华·图夫特的“美丽证据”和“定量信息的视觉显示”的思想。|unstyled|5807455|演绎器GUI使使用ggplot2成为可能，而不需要了解实现ggplot2的R编程语言。如果可以使用excel，则可以使用扣减器。您的统计分析将是有效的，您的图表(感谢ggplot2)将是有效和漂亮的。|5807456|#dependencies
sudo+apt-get+install+r-core
sudo+apt-get+install+rJava+default-jdk
sudo+R+CMD+javareconf
sudo+R
#to+install+deducer
install.packages('JGR')
install.packages('Deducer')
library(JGR)
JGR()
#in+JGR
library(Deducer)|code-block|syntax|javascript|entityMap|0|LINK|mutability|MUTABLE|url|http://had.co.nz/ggplot2/|1|http://www.edwardtufte.com/tufte/^0|0|7|0|0|X|7|1|0|0^^$0|@$1|2|3|4|5|6|7|W|8|@]|9|@$A|X|B|Y|1|Z]]|C|$]]|$1|D|3|E|5|F|7|10|8|@]|9|@$A|11|B|12|1|13]]|C|$]]|$1|G|3|H|5|F|7|14|8|@]|9|@]|C|$]]|$1|I|3|J|5|K|7|15|8|@]|9|@]|C|$L|M]]]|N|$O|$5|P|Q|R|C|$S|T]]|U|$5|P|Q|R|C|$S|V]]]]

<h2><a href="http://had.co.nz/ggplot2/" rel="noreferrer">Ggplot2</a></h2>
Is one of the best data visualization programs available. It implements the ideas of <a href="http://www.edwardtufte.com/tufte/" rel="noreferrer">Edward Tufte</a>, author of classics in graphical design and scientific communication as 'Beautiful Evidence' and 'The Visual Display of Quantitative Information'.
The Deducer GUI makes it possible to use ggplot2 without requiring knowledge of the R programming language in which ggplot2 is implemented. If you can use excel, you can use Deducer. Your statistical analyses will be valid and your graphs (thanks to ggplot2) will be effective and pretty.
<pre><code>#dependencies
sudo apt-get install r-core
sudo apt-get install rJava default-jdk
sudo R CMD javareconf
sudo R
#to install deducer
install.packages('JGR')
install.packages('Deducer')
library(JGR)
JGR()
#in JGR
library(Deducer)
</code></pre>

blocks|key|5807337|text|圣人可能对此有好处。它结合了许多开源数学工具来创建一个非常广泛和灵活的应用程序。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|entityMap|0|LINK|mutability|MUTABLE|url|http://www.sagemath.org/^0|0|2|0^^$0|@$1|2|3|4|5|6|7|K|8|@]|9|@$A|L|B|M|1|N]]|C|$]]]|D|$E|$5|F|G|H|C|$I|J]]]]

<a href="http://www.sagemath.org/">Sage</a> might be good for that. It ties together a lot of open source math tools to create a very extensive and flexible app.

blocks|key|4617526|text|我用过qtoctave。如果您以前使用过它，那么它类似于MATLAB。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|4617527|您可以从存储库安装它：sudo+apt-get+install+qtoctave|style|CODE|entityMap|0|LINK|mutability|MUTABLE|url|http://qtoctave.wordpress.com/what-is-qtoctave/^0|3|8|0|0|B|T^^$0|@$1|2|3|4|5|6|7|O|8|@]|9|@$A|P|B|Q|1|R]]|C|$]]|$1|D|3|E|5|6|7|S|8|@$A|T|B|U|F|G]]|9|@]|C|$]]]|H|$I|$5|J|K|L|C|$M|N]]]]

I've used <a href="http://qtoctave.wordpress.com/what-is-qtoctave/">qtoctave</a>. It is similar to MATLAB if you've used that before.

You can install it from the repositories: <code>sudo apt-get install qtoctave</code>

blocks|key|5807510|text|gnuplot和xmgr/grace可能是最古老的Unix科学绘图程序。我仍然不时地使用gnuplot+(BTW不是GNU和有些人认为这不是免费的。)，因为我知道它，而且我已经使用它很多年了，但是它在本世纪并没有发生太大的变化，按照今天的标准，它对用户也不友好。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|5807511|我认为现在最有希望的项目是QtiPlot、LabPlot和Veusz。前两个类似于Origin+(Windows上最流行的绘图软件)。QtiPlot有一个全职的开发人员，而且它似乎更积极地开发。Veusz不同于原始克隆，与其他程序不同，它是用Python编写的。它还没有在发行版，但它有PPA。|5807512|我用来绘制数据的另一个程序是fityk。它是专门的曲线拟合，我使用它主要是因为我知道它(我写的)，但我想在大多数情况下，QtiPlot或Veusz将是最好的选择。|entityMap|0|LINK|mutability|MUTABLE|url|https://bugs.launchpad.net/ubuntu/%2Bsource/gnuplot/%2Bbug/195111|1|https://edge.launchpad.net/~jeremysanders/%2Barchive/ppa^0|1Q|C|0|0|3Z|3|1|0^^$0|@$1|2|3|4|5|6|7|Q|8|@]|9|@$A|R|B|S|1|T]]|C|$]]|$1|D|3|E|5|6|7|U|8|@]|9|@$A|V|B|W|1|X]]|C|$]]|$1|F|3|G|5|6|7|Y|8|@]|9|@]|C|$]]]|H|$I|$5|J|K|L|C|$M|N]]|O|$5|J|K|L|C|$M|P]]]]

gnuplot and xmgr/grace are probably the oldest Unix scientific graphing programs. I still use gnuplot from time to time (BTW it is not GNU and <a href="https://bugs.launchpad.net/ubuntu/+source/gnuplot/+bug/195111">some consider it not free</a>), because I know it and I've been using it for many years, but it hasn't changed much in this century and it's not user-friendly according to today's standards.

I think that the most promising programs now are QtiPlot, LabPlot and Veusz.
The first two are similar to Origin (the most popular plotting software on Windows). QtiPlot has a full-time developer and it seems to be developed more actively. Veusz is different than Origin clones and unlike other programs it is written in Python. It's not in the distro yet, but it has <a href="https://edge.launchpad.net/~jeremysanders/+archive/ppa">PPA</a>.

Another program that I use for plotting data is fityk. It is specialized in curve fitting and I use it for plotting mostly because I know it well (I wrote it), but I guess in most of cases QtiPlot or Veusz will be the best choice.

blocks|key|5807556|text|我使用了SciDavis，Scilab和MatplotLib。然而，最近我正在使用ParaView，但这并不是一个容易使用的程序。以前的都很简单。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|entityMap^0^^$0|@$1|2|3|4|5|6|7|C|8|@]|9|@]|A|$]]]|B|$]]

I used SciDavis, Scilab and MatplotLib. However lately I am using ParaView, but this is not an easy to use program. The previous ones are easy.

blocks|key|5807472|text|我建议DataScene。它产生了非常酷的图表和图表动画。我发现学习曲线是精灵平的，因为向导和教程。您可以在以下网站找到有关DataScene的更多信息：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|5807473|http://www.cyber-wit.com|offset|length|entityMap|0|LINK|mutability|MUTABLE|url|http://www.cyber-wit.com/^0|0|0|O|0^^$0|@$1|2|3|4|5|6|7|M|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|N|8|@]|9|@$D|O|E|P|1|Q]]|A|$]]]|F|$G|$5|H|I|J|A|$K|L]]]]

I would suggest DataScene. It produces really cool graphs and chart animations. I found the learning curve is fairy flat because of the Wizard and tutorials. You may find more information on DataScene at:

<a href="http://www.cyber-wit.com" rel="nofollow">http://www.cyber-wit.com</a>

blocks|key|4618180|text|MagicPlot也适用于Linux，它需要Java。这是非常有用的创建好看的图形和一些处理。对学生来说是免费的。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|entityMap|0|LINK|mutability|MUTABLE|url|http://magicplot.com/^0|0|9|0^^$0|@$1|2|3|4|5|6|7|K|8|@]|9|@$A|L|B|M|1|N]]|C|$]]]|D|$E|$5|F|G|H|C|$I|J]]]]

<a href="http://magicplot.com" rel="nofollow" title="MagicPlot">MagicPlot</a> is also available for Linux, it requires Java. It is very useful for creating good-looking graphs and some processing. And it is free for students.

blocks|key|4618272|text|维兹是迄今为止我能找到的最好的开源绘图工具。它允许设置非常详细的科学图样的属性，如小的和主要的蜱的大小。它还提供操作操作数据集。它支持SVG导出，可以从其他程序远程控制。此外，我得到支持的经验也是非常好的。作者在一天内回答了我的问题，并在两周内实现了一项功能请求。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|entityMap|0|LINK|mutability|MUTABLE|url|https://veusz.github.io/^0|0|2|0^^$0|@$1|2|3|4|5|6|7|K|8|@]|9|@$A|L|B|M|1|N]]|C|$]]]|D|$E|$5|F|G|H|C|$I|J]]]]

<a href="https://veusz.github.io/" rel="nofollow noreferrer">Veusz</a> is the best open source plotting tool I could find so far. It allows to set very detailed attributes of scientific plots, like minor and major tick size. It also provides operations to manipulate data sets. It supports SVG export and can be remotely controlled from other programs. Furthermore, my experiences with the support have been very good. The author answered my question within a day and implemented a feature request within two weeks.

blocks|key|4617831|text|MATLAB可能是最好的，但它不仅适用于绘图，而且也不是免费的(实际上，它很昂贵，但是如果您是学生，您可能可以从您的学校得到它)。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|entityMap|0|LINK|mutability|MUTABLE|url|http://www.mathworks.com/^0|0|6|0^^$0|@$1|2|3|4|5|6|7|K|8|@]|9|@$A|L|B|M|1|N]]|C|$]]]|D|$E|$5|F|G|H|C|$I|J]]]]

<a href="http://www.mathworks.com/" rel="nofollow">MATLAB</a> might be the best but it's not only for plotting and it's not free (actually it's expensive however if you are student, you can probably get it from your school).

blocks|key|4618344|text|无论是统计检验还是图表，r都是最好的。如果你对编程很在行，那就选择R.它是开源的，功能强大的。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|4618345|或者，如果编程花费了您太多的时间，请尝试一下BioVinci。它允许您拖放数据以运行统计数据和创建绘图。我喜欢它提供的现代情节类型，如小提琴情节和交互式3D散点图(带有悬停信息)。另外还有PCA+--对科学研究很有帮助。另外，它支持Ubuntu16.04、18.04和Debian+9。|offset|length|4618346|希望这能帮上忙！这是它的PCA三维图的截图|entityMap|0|LINK|mutability|MUTABLE|url|https://vinci.bioturing.com/|1|https://i.stack.imgur.com/uMYEP.png^0|0|M|8|0|0|8|D|1^^$0|@$1|2|3|4|5|6|7|Q|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|R|8|@]|9|@$D|S|E|T|1|U]]|A|$]]|$1|F|3|G|5|6|7|V|8|@]|9|@$D|W|E|X|1|Y]]|A|$]]]|H|$I|$5|J|K|L|A|$M|N]]|O|$5|J|K|L|A|$M|P]]]]

R would be best for both statistical tests and graphs. If you're fine with programming, go for R. It's open-source and powerful.

Or give <a href="https://vinci.bioturing.com" rel="nofollow noreferrer">BioVinci</a> a try if programming costs you too much time. It lets you drag and drop your data to run statistics and create plots. I like the modern plot types it offers, like violin plot and interactive 3D scatter plot (with hovering info). Plus there's PCA -- really helpful for scientific research. One more, it supports Ubuntu 16.04, 18.04, and Debian 9.

Hope this helps!
<a href="https://i.stack.imgur.com/uMYEP.png" rel="nofollow noreferrer">Here's a screenshot of its PCA 3D plot.</a>

blocks|key|4618117|text|我想建议科学使用超级芒果。虽然它很广泛，但是你可以从你的研究所或研究中心得到它。这是非常用户友好和易于操作。您可以用高分辨率和高级设置绘制数据。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|entityMap^0^^$0|@$1|2|3|4|5|6|7|C|8|@]|9|@]|A|$]]]|B|$]]

I would like to suggest the supermongo for scientific use. Although it is expansive but you can get it from your institute or research center. This is very user friendly and easy to operate. You can plot your data with high resolution and advanced settings.

I am currently doing some experimental work and I have a lot of data to trawl though. I use Gnumeric, and it's very good, but often I feel there has to be something better.

Ideally I would like the maximum number of features with a minimal learning curve, but really I'd just like to know if there is something better than Gnumeric that I can use for manipulating and plotting data.

What would you recommend?

What scientific plotting software is available?

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

页面排版不美观，阅读体验差。

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我目前正在做一些实验工作，虽然我有很多数据要去拖网。我用的是good，它很好，但是我经常觉得必须有更好的东西。理想情况下，我希望使用最小的学习曲线来获得最大数量的特性，但实际上，我只想知道是否有比Gnumeric更好的特性，可以用来操作和绘制数据。你有什么推荐的？

问有什么科学的绘图软件？
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