Highly Customizable
GnuPlot offers extensive customization options for creating plots, allowing users to tweak almost every aspect of the graph, including colors, labels, line styles, and more.
Scriptable
GnuPlot can be driven by scripts, making it convenient for automating complex plots and integrating with other software workflows.
Wide Range of Output Formats
It supports many output formats such as PNG, PDF, SVG, and EPS, making it easy to generate graphics for different purposes like presentations, publications, and web content.
Cross-Platform
GnuPlot runs on multiple operating systems, including Windows, macOS, and Linux, ensuring that it can be used in diverse computing environments.
Complex Plotting Capabilities
GnuPlot supports a wide variety of plots, including 2D and 3D plots, histograms, heatmaps, and more, which caters to the needs of advanced visualization requirements.
Performance
GnuPlot is efficient and can handle large datasets with ease, offering fast rendering times which is crucial when dealing with complex visualizations.
Free and Open Source
Being free and open-source software, GnuPlot is accessible to everyone, and users can modify the source code to suit their needs.
To some extent it extends the concept of tasks which only can be reasonably executed after the completion of other ones (though results of branches eventually may join each other) and offers an additional assisting birds’ eye visual of projects. So far, I’m aware about the documentation on worg interfacing org-taskjuggler and taskjuggler, as well as a video tutorial interfacing gnuplot instead.
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over 1 year ago
Gnuplot is a program to plot diagrams. The
Commands issued to use it don’t change regardless if it is used in
Linux/Windows/MacOS and it comes with less dependencies than a
Spread sheet, or a statistics program. This is why I started to
Become comfortable with it, and venture out some of its features.
Here, “conditional plot” referred to “the diagram only displays a
Thing/uses a pixel if the value in the table…
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over 1 year ago
Or, does drawing diagrams refers to plotting data, but neither using matplotlib, nor gnuplot (export to .svg, .pdf, .png; pstricks, tikz to mention a few options)?
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over 1 year ago
There may the occasion you actually need the data from a publication, and want to plot them altogether with data newly collected data in one diagram in common. An overlay, though possible, can become tricky (scaling, centering, alignment, etc.) and plotting all data in a diagram generated from scratch (gnuplot/octave, matplotlib, Origin, …) exported as an illustration in the usual formats (.pdf/.png), or…
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over 1 year ago
Have you looked at the graphing capabilities of Octave or Gnuplot? Gnuplot in particular has a lot of options, and a GUI for those who want it.
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almost 2 years ago
