LabPlot/UserGuide: Difference between revisions

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== CAS Computing ==
== 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 to select them as the 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
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
* Maxima lists
* Python lists, tuples and NumPy arrays
* Python lists, tuples and NumPy arrays
* Julia vectors and tuples
* Julia vectors and tuples


With this, powerfull calculations carried out inside of different CAS environments can be combined with the user-friendly visualisation and editing capabilities of LabPlot.
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 ==
== Import and Export ==

Revision as of 19:58, 4 April 2021

Interface

Data Containers

Worksheet

2D Plotting

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