Essentially, both packages have very similar set of functions - various 2D and 3D plots, handling axes, views & text. But PLplot is one binary library compiled on many platforms, in opposite to matlibplot which is a big suite of python libraries (in Julia case add a PyCall & PyPlot wrappers).
On Monday, August 24, 2015 at 9:33:33 AM UTC-4, Daniel Carrera wrote: > > Hello, > > Thank you for your work. Could you give me an idea of the pros and cons of > PLplot versus Matplotlib? > > Cheers, > Daniel. > > > On Sunday, 23 August 2015 06:34:38 UTC+2, wil...@gmail.com wrote: >> >> Hi all, >> >> I've started working on a Julia PLplot wrapper >> <https://github.com/wildart/PLplot.jl>. PLplot is a powerful >> cross-platform library that can be used to create standard x-y plots, >> semi-log plots, log-log plots, contour plots, 3D surface plots, mesh plots, >> bar and pie charts, dynamic plots, animation, etc. Library supports >> multiple output formats (PDF, PNG, etc...) and devices (X, Qt, GTK+). >> If you haven't seen it, look here for examples. >> <http://plplot.sourceforge.net/examples.php> >> >> I currently wrapped routings which cover basic functionality and allow to >> run most of examples. I've tried to make a Gadfly backend but unfortunately >> the way PLplot works with colors makes it very hard to integrate. I guess >> wrapper going to be stand-alone package. So, help required with following: >> >> >> - High-level plotting functions >> - Binary dependency installation >> - More examples and test >> - Documentation >> >> New ideas and interesting examples are always welcome. >> -- Art >> >
