LabPlot/UserGuide: Difference between revisions

From KDE UserBase Wiki
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* [[Special:myLanguage/LabPlot/FITSMetadataEditor|FITS Metadata Editor]]
* [[Special:myLanguage/LabPlot/FITSMetadataEditor|FITS Metadata Editor]]
* [[Special:myLanguage/LabPlot/ColorMapsBrowser|Color Maps Browser]]
* [[Special:myLanguage/LabPlot/ColorMapsBrowser|Color Maps Browser]]
* [[Special:myLanguage/LabPlot/Cursor tool|Cursor tool]]
* [[Special:myLanguage/LabPlot/Cursor Tool|Cursor Tool]]


== Command Line Options ==
== Command Line Options ==

Revision as of 17:52, 22 February 2022

Interface

Data Containers

Worksheet

2D Plotting

Statistics

Themes and Templates

Data Analysis

CAS Computing

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.

Import and Export

LaTeX Typesetting

Curve Tracing

Tools

Command Line Options