syntax conciseness, interactivity, Plot recipes => preliminary data exploration.Finally, its extremely concise syntax makes it ideal for interactive data exploration.Īs a final remark, note that the Gnuplot.jl features directly maps onto the different stages of production of a plot: The minimalistic approach allows to value the widely spread knowledge of gnuplot syntax, and ensures a shallow learning curve for the package. A reasonable choice, then, is to rely on the size of the user base, the availability of documentation / tutorials, and the possibility to preview complex examples.īy allowing transparent access to the underlying gnuplot process, the Gnuplot.jl package immediately exposes all capabilities of the backend and allows to take advantage of the many resources available online. As a consequence is also hard to tell whether a package can cope with the most difficult cases, unless you actually try it out. Still, producing complex and publication-quality plots is not an easy task. Indeed, this is exactly the example that is reported in every package documentation (also here: see 2D plots). Does Gnuplot.jl suit my needs?Īny modern plotting framework is able to produce a simple scatter plot, with custom symbols, line styles, colors and axis labels. Gnuplot.jl also provides features 4 and 5, as well as the minimalistic approach. The functionalities 1, 2 and 3 listed above are similar to those provided by the Gaston package. This way all underlying capabilities, both present and future ones, are automatically exposed to the Julia user, with no need to implement dedicated wrappers. The Gnuplot.jl package development follows a minimalistic approach: it is essentially a thin layer to send data and commands to gnuplot. However, if gnuplot is not available on a given platform, the package could still be used in " dry" mode, and no error for a missing dependency will be raised (see Dry sessions). Unlike other packages Gnuplot.jl is not a pure Julia solution as it depends on an external package to actually generate plots.
Gnuplot fit code#
(actually all those supported by gnuplot)
Support for multiple plots in one window, multiple plotting windows, as well as ASCII and Sixel plots (to plot directly in a terminal) ĢD interpolation of scattered data on a regular grid Įxport to a huge number of formats such as pdf, png, gif, $\LaTeX$, svg, etc. Transparent interface between Julia and gnuplot to exploit all functionalities of the latter, both present and future ones Īvailability of all the palettes from ColorSchemes No need to learn new API functions or keywords: only two macros ( for 2D plots, for 3D plots) and a basic knowledge of gnuplot are enough to generate most plots The package main features are:Įxtremely concise yet meaningful syntax, makes it ideal for interactive data exploration Have a look at Basic usage and Examples for a quick overview. The Gnuplot.jl package allows easy and fast use of gnuplot as a data visualization tool in Julia. With the above line the name of this LOG file is generated from the TeX file name (= \jobname) followed by the string Gnuplot.jl A Julia interface to gnuplot. gnuplot will create a new file containing the LOG information of the fit process. The resulting parameters of the fit won’t be visible in TeX, however if one adds the line set fit logfile "\jobname_fit.log" Gives exactly the desired result (I dashed the blue line to make it more visible):
% which allows to write a gnuplot script file The blue line shows the expected fit.Ĭan anyone see what I'm doing wrong though? I can get the data points in OK, and plot them but the fit (red line) does not seem to work. I am trying to use gnuplot with pgfplots in TexShop, following on from an example by Martin H in the comments here.
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