Graph Software and comparison in Linux (Ubuntu10.10)

The recently processed data results are coming out one after another, and a lot of PP diagrams are inevitable. So let's review the graph workflow in Linux. first, distinguish between a vector image and a bitmap. choose the tool in Linux again. First, we recommend gnuplot & gt; inkscape & gt; qtiplot. The rest will be fine. Please try it. If you have any questions, please feel free to leave a message. 1) inkscape. This is the most powerful Vector Plotting Software and is very suitable for scientific plotting. Compared with other similar plotting software

The recently processed data results are coming out one after another, and a lot of PP diagrams are inevitable. So let's review the graph workflow in Linux.

First, distinguish between a vector image and a bitmap.

Select the tool in Linux again. First, we recommend gnuplot> inkscape> qtiplot.

Okay. Try it. If you have any questions, please feel free to leave a message.

1) inkscape. This is the most powerful Vector Plotting Software and is very suitable for scientific plotting. Compared with other similar plotting software, its biggest advantage is the ability to enter the Latex formula. You can enter the Latex formula through the Latex equation plug-in or the textext plug-in, but installing the plug-in is a little troublesome. The inkscape graph is very beautiful, and the output vector graph is very beautiful. The only drawback is that it is not too "scientific" and it is not very handy for pure data graphs.

2) tecplot. I have been using this in the Windows era. Tecplot is suitable for processing scientific data, drawing various data graphs, displaying computational grids, and performing simple data processing. However, the problem is that the font is too small and the image is not very beautiful.

3) gnuplot and cueplot. Gnuplot is a well-known drawing software that complies with the GPL protocol. cueplot is a front-end X written by Japanese for it. Although there are many functional problems (such as file access problems), it can also be used together. The gnuplot graph is very beautiful, but it takes time to learn it easily because it is a programming implementation ......

4) dia or xfig. I used to draw organizational flowcharts Based on them, but now I have inkscape, so I should transfer the work to inkscape.

5) grace. Some people use this picture, such as my mentor. The plot is still beautiful, but I personally think this software is not easy to use.

6) qtiplot. As a replica of the famous software origin, qtiplot is good and easy to use. We recommend that you use qtiplot.

7) geogebra. This is actually not a plotting software, but it can indeed make exquisite planar geometric diagrams. It's cool to draw a Function Curve in this section and find the intersection point as the tangent.

8) veusz. Software that directly generates usable graphs for paper layout. But two words: Hard to use!

9) kmplot. The software that draws a function diagram puts it too weak. There are many similar software.