LabPlot can be used as a frontend to different open-source computer algebra systems (CAS) like Maxima, Octave, R, Scilab, and Sage or programming languages providing similar capabilities like Python and Julia. LabPlot recognizes different CAS variables holding array-like data and allows selecting them as a source for curves. So, instead of providing columns of a spreadsheet as the source for x- and y-data, the user provides the names of the corresponding CAS-variables. Currently supported CAS data containers are

  • Maxima lists
  • Python lists, tuples and NumPy arrays
  • Julia vectors and tuples

With this, powerful calculations carried out inside of different CAS environments can be combined with the user-friendly visualization and editing capabilities of LabPlot.

See the video on how to use Computational Notebooks in LabPlot.

This page was last edited on 16 June 2022, at 19:11. Content is available under Creative Commons License SA 4.0 unless otherwise noted.