Pyxplot: Difference between revisions

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Latest revision as of 02:55, 11 August 2025

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{{Lowercase title}}

{{Infobox software

| name = pyxplotPyxplot

| logo =

| developer = Dominic Ford, Ross Church

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| latest release version = 0.9.2

| latest release date = {{Start date and age|2012|09|19|df=yes}}

| status = Active

| programming language = [[C (programming language)|C]]

| platform = [[Cross-platform]]

| language = English

| genre = [[List of information graphinggraphics software|Plotting]]

| license = [[GNU General Public License|GNU GPL]]

| website = {{URL|http://www.pyxplot.org.uk}}

}}

'''Pyxplot''' is a [[free software]] [[command-line]] graph-plotting and [[vector graphics]] package. Its interface is similar to that of [[gnuplot]], but its graphics engine is optimised to produce output in a style appropriate for inclusion in academic journals. The [[LaTeX]] typesetting system is used to render all text labels, making it easy to annotate graphs with mathematical expressions. In addition, Pyxplot has many more [[Control flow|flow control constructs]] than gnuplot, making it much easier to perform batch operations.

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== Mathematical environment ==

Pyxplot's mathematical environment is unusual in that numerical variables can have physical units. Mathematical expressions involving quantities with physical units automatically calculate the dimensions of the resulting quantity; for example, squaring a distance will automatically produce an area. Data files read in<!--not a mistake--> in one unit (for example inches), can be output in another unit (for example meters).

All of Pyxplot's numerical analysis commands, such as curve-fitting, Fourier transforms and histogram generation also natively support quantities with physical units. Pyxplot's vector graphics drawing commands allow positions on the page and rotation angles to be specified by quantities with appropriate physical units.

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Pyxplot is extensively documented online. Its website includes a large [http://pyxplot.org.uk/current/doc/html/index.html Users' Manual] and [http://pyxplot.org.uk/examples/index.html gallery of examples].

The source code is available on [httphttps://sourceforge.net/projects/pyxplot/ SourceForge].

[[Category:Free plotting software]]