I really like this new feature. I was thinking of adding a contour functionality to PGFplots (https://github.com/sisl/PGFPlots.jl). I think this could be done by writing the arrays of contour lines as coordinates in a pgfplot environment. How would you convert the lines Array{Curve2{Float64},1} to Array{Float64,2}? I guess that is also what current or future plotting packages would want to do?
Best, Oliver Den torsdag den 3. juli 2014 17.19.50 UTC+2 skrev Tomas Lycken: > > The purpose of the Contour.jl package isn’t really to provide that part of > the functionality - but rather an abstraction over *finding* the contours > in the first place, that plotting packages can make use of. If you only > want the contours in order to plot them, it’s better to use one of the > plotting packages directly. > > Contour plots are already available in PyPlot (using the matplotlib api > <http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.contour>), > and at least to some extent in Gadfly > <https://github.com/dcjones/Gadfly.jl/issues/293>. I don’t know if or how > Winston or others do contour plots, but if they can, they'll probably show > them off in the docs =) > > // T > > On Wednesday, July 2, 2014 4:16:32 PM UTC+2, Andrei Berceanu wrote: > > Great work, congratulations for the package. I have a short question. >> Once I get an array of Curve2 type, how can I get a graphical >> representation of it? I mean, in Winston/Gaston/PyPlot/whatever. >> >> On Sunday, June 29, 2014 12:34:28 AM UTC+2, Tomas Lycken wrote: >>> >>> Huzzah! >>> >>> We’ve just released Contour.jl <https://github.com/tlycken/Contour.jl>, >>> a light-weight package that provides an algorithm to calculate iso-lines of >>> a scalar 2D-field f(x,y), such as those shown on a contour plot. The >>> current implementation uses the Marching Squares >>> <http://en.wikipedia.org/wiki/Marching_squares> algorithm, and returns >>> the contour lines in an array of ContourLevel instances, that provide >>> an abstraction over the actual implementation of curves as geometrical >>> objects. Currently lists of Vector2s from ImmutableArrays are used to >>> represent curves, but the idea is that if e.g. a package with general >>> geometry items emerges, we can seemlessly switch to that. >>> >>> Our hopes is that other packages that have use for isolines (e.g. all >>> plotting packages that want to plot contours) use this package instead of >>> each carrying their own implementation, but use cases are of course not >>> limited to plotting. (I wanted to put this together because I needed to >>> calculate volumes inside axisymmetric isosurfaces, and this solved a large >>> part of that problem…) >>> >>> Please, kick the tires and see what you can do with this! =) >>> >>> Finally, a big thanks to Darwin Darakananda >>> <https://github.com/darwindarak>, who’s done almost all the coding. >>> >>> // Tomas >>> >>> >> >
