LabPlot/UserGuide

Interface

• MainArea
• Project Explorer
• Properties Explorer

Data Containers

• Spreadsheet
• Matrix
• Workbook

Data Analysis

• Fitting
• Smoothing
• Interpolation
• Integration
• Differentiation
• Fourier Transformation
• Hilbert Transform
• Fourier Filter
• Data Reduction

• Fitting

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.

Tools

• Curve Tracing
• FITS Metadata Editor
• Color Maps Browser