The largest Veusz’s competitive advantage over some other graphic packages is likely its capability to prepare complex 3D graphs. Graph export possibilities include TIFF format and other standard formats (JPG, PNG, and several others). For instance, this piece of code constructs a simple x-squared plot which changes to x-cubed (it is referenced from the official documentation): import veusz.embed as veusz import time # open a new window and return a new Embedded object embed = veusz.Embedded('window title') # make a new page, but adding a page widget to the root widget page = ('page') # add a new graph widget to the page graph = page.Add('graph') # add a function widget to the graph. There is, therefore, another competitor to the standard python libraries such as Matpotlib, Seaborn, or Plotly. Veusz can be used as a Python module for plotting data. The NumPy package is already imported into the command line interface. Veusz can also read Python scripts from files. When commands enter in the command prompt in the Veusz window, it supports a simplified command syntax, where brackets following commands names can be replaced by spaces in Veusz commands. Therefore you can freely mix Veusz and Python commands on the command line. As Veusz is programmed in Python, it uses Python as its scripting language. Command-line interfaceĪn alternative way to control Veusz is via its command-line interface. Properties of widgets are edited in the Properties window, and their appearance and formal side (font, axis line color, color of labels, etc.) in the Formatting window. In Veusz, plots are created by building up plotting widgets, specific elements (charts, axes, text labels, etc.) that the user adds or removes in the Editing window. Manual formatting involves importing data and manual editing graphs to build the 2D or 3D product. Veusz allows formatting graphs in three ways: benefits of using Veusz in comparison with other programs.įinally, I will also mention some drawbacks that the user can find working with the program.Despite all the benefits, it seems that data scientists and researchers are not well-aware of all the possibilities that Veusz provides. Veusz is a simple but powerful tool for preparing high-quality graphics that researchers can use to visualize their results. In academic journals, the editors require highly developed plots, but some statistical programs do not provide good quality graphs for publication in decent journals. With a solid capacity for creating 2D and 3D graphs, Veusz helps researchers visualize all types of data structures they use in social sciences, engineering, biology, medicine, etc. It is freely available and well-integrated with Python. I use Excel when I'm going to make a document in Word or Powerpoint, but when I make serious maths exams, I use texmacs, and thus I need a way to make vector images.Veusz is a graphing program designed to produce publication-ready plots for academic and professional journals. Libreoffice is a free alternative to Excel, and you CAN export as a vector image in that, so I use that instead. I've tried various things which people have suggested, but to no avail. I'd appreciate confirmation that all the graphs I've linked above can actually be drawn in Veusz or not.Įdit: BTW, I know the usual reaction to graphs is, "oh, do it in Excel!", but as of writing this, you can't export Excel graphs as a vector image to my knowledge. Any help would be much appreciated! Every time I add a break, it adds the break halfway along the y-axis :( My question is: how do I create a break in the y-axis using veusz, in such a way that the graph looks like the third graph in the link above? I'm slowly creating all the graphs here: I'm a teacher and I'm learning to use Veusz to create high school maths statistical graphs.
0 Comments
Leave a Reply. |