Hi all -- perhaps I am erring by necro-ing a thread from last year.
However, this was the closest thing I found to a survey of all the plotting
options available on Julia and I thought it wouldn't be so bad to revive
this thread for an updated discussion.
How is the field of plotting options now? Has the community started to
gravitate to some over others? At this point, it looks like Winston and
Gadfly are still the primary options native to Julia (and stylistically
quite different), while PyPlot.jl pretty awesomely imports Matplotlib.
On Monday, October 28, 2013 6:08:07 AM UTC-4, Joonas Nättilä wrote:
>
> The syntax of Winston is being fixed, and hopefully soon you can just use
> the plot function like this
>
>
>> plot(log10(means),log2(ratios),symboltype="dot",title="MA-plot",xlabel="Means",ylabel="Ratios",aspect_ratio=0.75,xrange=[-1,6],yrange=[-6,6])
>>
> file("maplot.png")
>>
>
>
> On Saturday, 26 October 2013 21:39:38 UTC+3, muraveill wrote:
>>
>> I found appropriate to post here the only negative feedback I got after a
>> presentation I gave on Julia: "but the graph is ugly - and the syntax to
>> get it, too".
>> Before I develop, I want to emphasize that it is a very important concern
>> for our potential users (biologists and bioinformaticians).
>>
>> Here are the main reasons - how I got to this graph as a newbie user:
>>
>> - I had no idea of which library I should use (in particular, I expected
>> a section "Julia graphics" in the Manual).
>> - The doc for Gadfly (@GitHub) was poor; the average user has no idea of
>> the "grammar of graphics" and does not use RDatasets; the user wants
>> plot(x,y,...) to be the standard and not an "heretic version"; the user
>> wants X11 and not SVG.
>> - Because of the latter I tried Winston. I got a graph quickly with a
>> code that they found ugly, too, because of the column of "setattr"
>> statements.
>> - I could never manage to have a picture appear when I just type
>> plot(x,y,...) as it would in R (X11). So I opted for a PGN, but this is a
>> big issue: one wants to keep the result in a file only 1/100 of the time, I
>> would say (including tests until it looks like what you want).
>> - Winston produced black squares as for points; the title is not centered
>> in the frame; the default figure's margins are counter-intuitive (square
>> frame instead of wrapping the plot's dimensions).
>> - Having to try a third library when the two first fail is extremely
>> tedious and even I gave up as the presenter, so imagine the average R user.
>>
>> p = FramedPlot()
>> add(p, Points( log10(means), log2(ratios), "type", "dot" ))
>> setattr(p, "title", "MA-plot")
>> setattr(p, "xlabel", "\\Means")
>> setattr(p, "ylabel", "\\Ratios")
>> setattr(p, "aspect_ratio", 0.75 )
>> setattr(p.x1, "range", (-1,6) )
>> setattr(p.y1, "range", (-6,6) )
>> file(p, "maplot.png")
>> - See more at:
>> http://bioinfo-fr.net/julia-le-successeur-de-r#sthash.Ib3FC05n.dpuf
>> Most R users here (and I see a lot at work) do not even know about
>> ggplot2 and all they want is a unique plot() function that does everything
>> simply and quickly, like in R, without needing to import a particular
>> package. There must be a standard graphics library included by default with
>> the Julia distribution
>> Actually since biologists know nearly nothing about stats, R is used
>> only for graphics, so if you want to succeed in converting R users, work a
>> lot in this direction.
>> p = FramedPlot()
>> add(p, Points( log10(means), log2(ratios), "type", "dot" ))
>> setattr(p, "title", "MA-plot")
>> setattr(p, "xlabel", "\\Means")
>> setattr(p, "ylabel", "\\Ratios")
>> setattr(p, "aspect_ratio", 0.75 )
>> setattr(p.x1, "range", (-1,6) )
>> setattr(p.y1, "range", (-6,6) )
>> file(p, "maplot.png")
>> - See more at:
>> http://bioinfo-fr.net/julia-le-successeur-de-r#sthash.Ib3FC05n.dpuf
>> p = FramedPlot()
>> add(p, Points( log10(means), log2(ratios), "type", "dot" ))
>> setattr(p, "title", "MA-plot")
>> setattr(p, "xlabel", "\\Means")
>> setattr(p, "ylabel", "\\Ratios")
>> setattr(p, "aspect_ratio", 0.75 )
>> setattr(p.x1, "range", (-1,6) )
>> setattr(p.y1, "range", (-6,6) )
>> file(p, "maplot.png")
>> - See more at:
>> http://bioinfo-fr.net/julia-le-successeur-de-r#sthash.Ib3FC05n.dpuf
>>
>
